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Can we suppress excessive post-surgical scar formation:A case report

World Journal of Orthopedics 2023年第3期14卷 166-170页

作者： mir Sadat-ali Sulaiman A al-mousa Khalid Waleed al-Tabash mohamed m Abotaleb fawaz m al-anii Department of Orthopaedic Surgery Imam Abdulrahman Bin Faisal UniversityDammam 31142Saudi Arabia

BACKGROUND Hypertrophic scars(HSs)formation is a complication that occurs after wounds heal with secondary intention and sometimes after clean surgical *** treatments are in vogue now with varying *** the mechanism or mechanisms that cause a HS to form are not clearly understood,one thing that is clear is that once scar tissue matures,any intervention will not be *** this paper,we report on a case where a patient who was known to develop HS was treated with a new combination of ingredients(Phyto-chemicals+Silicone JUmI)to suppress HS *** SUmmARY A 68-year-old female of African descent presented a severe HS post total knee replacement(TKR),which the patient describes as itchy and *** to complications caused by the scar,she was apprehensive about undergoing TKR on her other ***,after the TKR of the contralateral side post-removal of skin clips,JUmI anti-scar cream(JASC)was used to suppress excessive scar *** JASC appears potent and efficacious at suppressing excessive scar *** believe that this warrants further studies on larger patient groups and on different surgical sites.

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Vancomycin flushing syndrome in orthopaedic practice:A case report

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World Journal of Orthopedics 2023年第10期14卷 771-775页

作者： fawaz m al-anii mir Sadat-ali Khalid Waleed al-Tabash Ahmad I almulhim Sulaiman A almousa Abdulaziz m alHawas Orthopaedic Surgery Imam AbdulRahman Bin Faisal University and King Fahd Hospital of the UniversityAlKhobar 31952Saudi Arabia

BACKGROUND Vancomycin flushing syndrome(VFS),also known as red man syndrome,is an allergic reaction to *** typically presents as a rash on the face,neck,and upper torso after intravenous administration of *** is blamed on rapid intravenous infusion of vancomycin during management and rarely happens after local use.A review of the literature showed that in the last 23 years,4 such cases have been ***,we add another case of VFS developed after slow local absorption of vancomycin in cement *** SUmmARY A 44-year-old male with a known case of hypertension,no history of allergies to medications,and a history of chronic osteomyelitis of the right tibia with discharging sinus over the anterolateral aspect of the *** pus culture grew Staphylococcus aureus,which was sensitive to clindamycin and *** patient underwent irrigation and debridement with the placement of vancomycin cement beads made from 4 g of vancomycin powder and 40 g of polymethyl *** hours postoperatively,the patient developed a pruritic,erythematous,macular rash predominantly on his face,neck,chest,and lower extremities and to a lesser extent his upper extremities.A diagnosis of VFS was made and was successfully treated with cetirizine(10 mg,oral)and methylprednisolone sodium succinate(125 mg,intravenous).The patient continued to have itching with a facial rash for 12 h with gradual improvement.A decision was made to not remove the beads as the patient continued to ***,the rash disappeared after 96 h with no further *** VFS can occur not only after rapid intravenous injection of vancomycin but also with local release,as in our *** orthopaedic surgeons routinely use vancomycin with polymethyl methacrylate in chronic osteomyelitis and revision arthroplasty,they should be aware of such a complication occurring.

关键词： Vancomycin Anaphylactic reactions Red man syndrome Vancomycin flushing syndrome Case report

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Role of bevacizumab intraocular injection in the management of neovascular glaucoma

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International Journal of Ophthalmology(English edition) 2021年第6期14卷 855-859页

作者： fawaz al Sarireh Hamzeh mohammad alrawashdeh Khalid al Zubi Khalil al Salem Department of Ophthalmology College of MedicineUniversity of MutahKarak 61710Jordan Department of Ophthalmology Sharif Eye CentersIrbid 410739Jordan

AIm:To assess the long-term effects of intraocular bevacizumab(Avastin)injections as an adjunctive drug to manage patients with neovascular glaucoma(NVG).mETHODS:A retrospective study was conducted consisting of 34 eyes with secondary NVG caused by proliferative diabetic retinopathy(n=25),ischemic central retinal vein occlusion(n=8),and retinal ischemia resulting from persistent detachment(n=1)were managed by intraocular injections of bevacizumab(1.25 mg/0.05 m L),in addition to other *** main outcome measure was the change in the degree of iris *** outcomes included intraocular pressure and the number of additional interventions or antiglaucoma medications administered after ***:all patients were followed-up for at least 12 *** the last follow-up,complete regression of rubeosis irides was detectable in 13(38.2%)eyes and incomplete regression in 21 eyes(61.8%).The mean intraocular pressure was 45.32±7.185 mm Hg at baseline and significantly decreased to 26.15±5.679 mm Hg at the last follow-up visit(P=0.000005).Patients received an average of 4.97 *** additional treatments,12 eyes(35%)received laser photocoagulation and 6 eyes(18%)underwent *** further treatment was needed in 16 eyes(47.1%).CONCLUSION:Intravitreal bevacizumab injection can have a favorable effect in controlling intraocular pressure and pain control in patients with NVG because it decreases the angiogenesis and helps to augment the results of conventional *** primary cause of retinal ischemia should be always targeted.

关键词： bevacizumab intraocular injection neovascular glaucoma rubeosis irides

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Human-Animal Affective Robot Touch Classification Using Deep Neural Network

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Computer Systems Science & Engineering 2021年第7期38卷 25-37页

作者： mohammed Ibrahim Ahmed al-mashhadani Theyazn H.H.aldhyani mosleh Hmoud al-Adhaileh alwi m.Bamhdi mohammed Y.alzahrani fawaz Waselallah alsaade Hasan alkahtani al-Iraqia University College of EducationComputer DepartmentBaghdadIraq Community College of Abqaiq King Faisal UniversityAl-AhsaSaudi Arabia Deanship of E-learning and Distance Education King Faisal UniversityAl-AhsaSaudi Arabia Umm al-Qura University College of ComputingMakkahSaudi Arabia Department of Computer Sciences and Information Technology Albaha UniversityAl BahaSaudi Arabia College of Computer Science and Information Technology King Faisal UniversityAl-AhsaSaudi Arabia

Touch gesture recognition is an important aspect in human-robot interaction,as it makes such interaction effective and *** novelty of this study is the development of a system that recognizes human-animal affective robot touch(HAART)using a deep learning *** proposed system was used for touch gesture recognition based on a dataset provided by the Recognition of the Touch Gestures Challenge *** dataset was tested with numerous subjects performing different HAART gestures;each touch was performed on a robotic animal covered by a pressure sensor skin.A convolutional neural network algorithm is proposed to implement the touch recognition system from row inputs of the sensor *** leave-one-subject-out cross-validation method was used to validate and evaluate the proposed system.A comparative analysis between the results of the proposed system and the state-of-the-art performance is *** show that the proposed system could recognize the gestures in almost real time(after acquiring the minimum number of frames).According to the results of the leave-one-subject-out cross-validation method,the proposed algorithm could achieve a classification accuracy of 83.2%.It was also superior compared with existing systems in terms of classification ratio,touch recognition time,and data preprocessing on the same ***,the proposed system can be used in a wide range of real applications,such as image recognition,natural language recognition,and video clip classification.

关键词： Touch gesture recognition touch gesture classification deep learning

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metaheuristic Optimization algorithm for Signals Classification of Electroencephalography Channels

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Computers, materials & Continua 2022年第6期71卷 4627-4641页

作者： marwa m.Eid fawaz alassery Abdelhameed Ibrahim mohamed Saber Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Electronics and Communications Engineering Faculty of EngineeringDelta University for Science and TechnologyMansoura11152Egypt

Digital signal processing of electroencephalography(EEG)data is now widely utilized in various applications,including motor imagery classification,seizure detection and prediction,emotion classification,mental task classification,drug impact identification and sleep state *** the increasing number of recorded EEG channels,it has become clear that effective channel selection algorithms are required for various *** Whale Optimization method(Guided WOA),a suggested feature selection algorithm based on Stochastic Fractal Search(SFS)technique,evaluates the chosen subset of *** may be used to select the optimum EEG channels for use in Brain-Computer Interfaces(BCIs),the method for identifying essential and irrelevant characteristics in a dataset,and the complexity to be *** enables(SFS-Guided WOA)algorithm to choose the most appropriate EEG channels while assisting machine learning classification in its tasks and training the classifier with the ***(SFSGuided WOA)algorithm is superior in performance metrics,and statistical tests such as ANOVA and Wilcoxon rank-sum are used to demonstrate this.

关键词： Signals metaheuristics optimization feature selection multilayer perceptron support vector machines

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Automated Grading of Breast Cancer Histopathology Images Using multilayered Autoencoder

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Computers, materials & Continua 2022年第5期71卷 3407-3423页

作者： Shakra mehak m.Usman Ashraf Rabia Zafar Ahmed m.alghamdi Ahmed S.alfakeeh fawaz alassery Habib Hamam muhammad Shafiq Knowledge Unit of System and Technology University of Management&TechnologySialkot Campus51310Pakistan Department of Computer Science University of Management and TechnologySialkot Campus51310Pakistan Faculty of Computing and Technology University of Engineering&TechnologyNarowal51610Pakistan College of Computer Science and Engineering University of Jeddah21493Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Faculty of Engineering Moncton UniversityNBE1A3E9Canada Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Breast cancer(BC)is the most widely recognized cancer in women *** 2018,627,000 women had died of breast cancer(World Health Organization Report 2018).To diagnose BC,the evaluation of tumours is achieved by analysis of histological *** present,the Nottingham Bloom Richardson framework is the least expensive approach used to grade BC *** contemplate three elements,*** count,*** formation,and *** atypia,which is a laborious process that witness’s variations in expert’s ***,some algorithms have been proposed for the detection of mitotic cells,but nuclear atypia in breast cancer histopathology has not received much *** atypia analysis is performed not only to grade BC but also to provide critical information in the discrimination of normal breast,non-invasive breast(usual ductal hyperplasia,atypical ductal hyperplasia)and pre-invasive breast(ductal carcinoma in situ)and invasive breast *** proposed a deep-stacked multi-layer autoencoder ensemble with a softmax layer for the feature extraction and classification *** classification results show the value of the multilayer autoencoder model in the evaluation of nuclear *** proposed method has indicated promising results,making them more fit in breast cancer grading.

关键词： Breast cancer nuclear atypia autoencoder

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Hybrid Sine Cosine and Stochastic Fractal Search for Hemoglobin Estimation

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Computers, materials & Continua 2022年第8期72卷 2467-2482页

作者： marwa m.Eid fawaz alassery Abdelhameed Ibrahim Bandar Abdullah aloyaydi Hesham Arafat ali Shady Y.El-mashad Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt mechanical Engineering Department Qassim UniversityBuraidah51452Saudi Arabia Department of Computer Systems Engineering Faculty of Engineering at ShoubraBenha UniversityEgypt

The sample’s hemoglobin and glucose levels can be determined by obtaining a blood sample from the human body using a needle and analyzing ***(HGB)is a critical component of the human body because it transports oxygen from the lungs to the body’s tissues and returns carbon dioxide from the tissues to the *** the HGB level is a critical step in any blood analysis *** often indicate whether a person is anemic or polycythemia *** ensemble models by combining two or more base machine learning(mL)models can help create a more improved *** purpose of this work is to present a weighted average ensemble model for predicting hemoglobin *** optimization method is utilized to get the ensemble’s optimum *** optimum weight for this work is determined using a sine cosine algorithm based on stochastic fractal search(SCSFS).The proposed SCSFS ensemble is compared toDecision Tree,multilayer perceptron(mLP),Support Vector Regression(SVR)and Random Forest Regressors as model-based approaches and the average ensemble *** SCSFS results indicate that the proposed model outperforms existing models and provides an almost accurate hemoglobin estimate.

关键词： Sine cosine optimization metaheuristics optimization hemoglobin estimation weight average ensemble

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A New Approach for Database Fragmentation and allocation to Improve the Distributed Database management System Performance

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Journal of Software Engineering and Applications 2014年第11期7卷 891-905页

作者： Rizik m. H. al-Sayyed fawaz A. al Zaghoul Dima Suleiman mariam Itriq Ismail Hababeh King Abdullah II School for Information Technology The University of Jordan Amman Jordan Faculty of Computer Engineering and Information Technology German Jordanian University Amman Jorda

The efficiency and performance of Distributed Database management Systems (DDBmS) is mainly measured by its proper design and by network communication cost between sites. Fragmentation and distribution of data are the major design issues of the DDBmS. In this paper, we propose new approach that integrates both fragmentation and data allocation in one strategy based on high performance clustering technique and transaction processing cost functions. This new approach achieves efficiently and effectively the objectives of data fragmentation, data allocation and network sites clustering. The approach splits the data relations into pair-wise disjoint fragments and determine whether each fragment has to be allocated or not in the network sites, where allocation benefit outweighs the cost depending on high performance clustering technique. To show the performance of the proposed approach, we performed experimental studies on real database application at different networks connectivity. The obtained results proved to achieve minimum total data transaction costs between different sites, reduced the amount of redundant data to be accessed between these sites and improved the overall DDBmS performance.

关键词： Distributed Database management System Fragmentation allocation Clustering Network Sites

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A Novel Inherited modeling Structure of Automatic Brain Tumor Segmentation from mRI

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Computers, materials & Continua 2022年第11期73卷 3983-4002页

作者： Abdullah AAsiri Tariq ali Ahmad Shaf muhammad Aamir muhammad Shoaib muhammad Irfan Hassan A.alshamrani fawaz F.alqahtani Osama m.alshehri Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia Department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan Department of Informatics and Systems University of Management and TechnologyLahore54000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Clinical Laboratory Sciences Collage of Applied Medical ScienceNajran UniversityNajranSaudi Arabia

Brain tumor is one of the most dreadful worldwide types of cancer and affects people leading to *** resonance imaging methods capture skull images that contain healthy and affected *** checked the affected tissue in the slice-by-slice manner,which was timeconsuming and hectic ***,auto segmentation of the affected part is needed to facilitate ***,we have considered a hybrid model that inherits the convolutional neural network(CNN)properties to the support vector machine(SVm)for the auto-segmented brain tumor *** CNN model is initially used to detect brain tumors,while SVm is integrated to segment the tumor region *** proposed method was evaluated on a publicly available BraTS2020 *** statistical parameters used in this work for the mathematical measures are precision,accuracy,specificity,sensitivity,and dice ***,our method achieved an accuracy value of 0.98,which is most prominent than existing ***,the proposed approach is more suitable for medical experts to diagnose the early stages of the brain tumor.

关键词： Brain tumor support vector machine convolutional neural network BraTS classification

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The Potential Scenarios of the Impacts of Climate Change on Egyptian Resources and Agricultural Plant Production

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Open Journal of Applied Sciences 2016年第4期6卷 270-286页

作者： mahmoud m. fawaz Sarhan A. Soliman Agricultural Economy Department Faculty of Agriculture Kafr El-Sheikh University Kafr El-Shaikh Egypt Agricultural Economy Research Institute Agricultural Research Center Giza Egypt

The emissions of greenhouse gasses in Egypt are about 0.58% of the total emissions of the world in the year 2015, although Egypt is one of the countries most affected by the impacts of climate change. By assessment and analysis of the expected economic impacts of climate change by the year 2030, the Egyptian cultivated area will be reduced to about 0.949 million acres, equal to about 8.22% of the Egyptian cultivated area compared with the case of no sinking part of the Delta land, thus reducing crop area in Egypt to about 1.406 million acres, approximately to about 6.25% of crop area compared with the case of no sinking part of the Delta land, in addition to surplus in the Egyptian balance water to about 2.48 billion m3. In this case value of the Egyptian agriculture production will decrease by about 6.19 billion dollars, equal to about 6.19% compared with presumably no sinking of the Delta land. In the case of sinking 15% of Delta lands, with the change of the productivity and water consumption of most crops, the result will be a reduction in the cultivated area to about 0.94 million acres. In addition to decreasing the Egyptian crop area to about 1.39 million acres, with a deficit in the Egyptian balance water to about 4.74 billion m3 compared to the case of no sinking part of the Delta land, the cultivated area will decrease to about 8.17%, and the crop area will decrease 6.18%. also, the value of the Egyptian agriculture production will decrease by about 12.51%. While compared to sinking part of the Delta land to about 15% of the total Delta area without the other impacts of climate change, the cultivated area will increase by about 0.06%;the crop area will increase by about 0.08%;also, the value of the Egyptian agriculture production will decrease by about 5.57%.

关键词： The Potential Scenarios of the Impacts of Climate Change on Egyptian Resources and Agricultural Plant Production

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