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Host immune cellular reactions in corneal neovascularization

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International Journal of Ophthalmology(English edition) 2016年第4期9卷 625-633页

作者： Nizar S.Abdelfattah Mohamed amgad Amira A Zayed Doheny Eye Institute University of California Ophthalmology Department David Geffen School of Medicine University of California Faculty of Medicine Cairo University Department of Surgery Mayo Clinic Rochester

Corneal neovascularization（CNV） is a global important cause of visual impairment. The immune mechanisms leading to corneal heme- and lymphangiogenesis have been extensively studied over the past years as more attempts were made to develop better prophylactic and therapeutic measures. This article aims to discuss immune cells of particular relevance to CNV, with a focus on macrophages, Th17 cells, dendritic cells and the underlying immunology of common pathologies involving neovascularization of the cornea. Hopefully, a thorough understanding of these topics would propel the efforts to halt the detrimental effects of CNV.

关键词： corneal neovascularization macrophage Th17 cells dendritic cells herpes simplex keratitis keratoplasty angiogenesis lymphangiogenesis contact lenses

Preoperative nuclear stress testing in the very old patient population

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World Journal of Cardiology 2020年第5期12卷 210-219页

作者： amgad N Makaryus John N Makaryus Joseph A Diamond Department of Cardiology Northwell HealthNew Hyde ParkNY11042United States Department of Cardiology Nassau University Medical CenterEast MeadowNY 11554United States

BACKGROUND Elderly patients awaiting moderate to high-risk surgery may undergo nuclear stress testing(NST)in order to evaluate their cardiovascular *** prognostic utility of such testing in the very elderly(≥85 years)has yet to be fully *** and nonogenarians frequently have a number of concurrent conditions including a high rate of coronary disease,and therefore the prognostic value of NST for their preoperative risk assessment has been *** evaluation assesses the ability of nuclear stress testing to predict peri-operative cardiac outcomes in this patient *** To investigate the ability of NST to predict peri-operative cardiac outcomes in elderly patients awaiting moderate to high-risk *** Patients≥85 years undergoing pre-operative NST were retrospectively *** undergoing low-risk surgery were *** adverse cardiac events(MACE)were considered any adverse event that occurred prior to discharge and included acute heart failure,arrhythmia,acute myocardial infarction,unstable angina,or *** between patient risk factors,MACE,and the obtained results of the pre-operative stress testing,ejection fraction(0)were *** A total of 69 patients(mean age 88±2.6 years,31 males)underwent nuclear stress testing prior to *** were 41(60%)patients found to have an abnormal ***(23%)patients were noted to experience post-operative *** significant associations between risk factors and MACE were *** with an abnormal NST and/or a summed stress score≥9 weresignificantly(P<0.01)more likely to develop peri-operative *** Indicated preoperative NST is useful to assess pre-operative risk in elderly patients≥85 years undergoing moderate to high-risk surgery.

关键词： Pharmacologic nuclear stress testing Prognosis Elderly Preoperative assessment Outcomes

Leveraging Gradient-Based Optimizer and Deep Learning for Automated Soil Classification Model

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Computers, Materials & Continua 2023年第7期76卷 975-992页

作者： Hadeel Alsolai Mohammed Rizwanullah Mashael Maashi Mahmoud Othman Amani A.Alneil 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 Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityP.O.box 103786Riyadh11543Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Soil classification is one of the emanating topics and major concerns in many *** the population has been increasing at a rapid pace,the demand for food also increases *** approaches used by agriculturalists are inadequate to satisfy the rising demand,and thus they have hindered soil *** comes a demand for computer-related soil classification methods to support *** study introduces a Gradient-Based Optimizer and Deep Learning(DL)for Automated Soil Clas-sification(GBODL-ASC)*** presented GBODL-ASC technique identifies various kinds of soil using DL and computer vision *** the presented GBODL-ASC technique,three major processes are *** the initial stage,the presented GBODL-ASC technique applies the GBO algorithm with the EfficientNet prototype to generate feature *** soil categorization,the GBODL-ASC procedure uses an arithmetic optimization algorithm(AOA)with a Back Propagation Neural Network(BPNN)*** design of GBO and AOA algorithms assist in the proper selection of parameter values for the EfficientNet and BPNN models,*** demonstrate the significant soil classification outcomes of the GBODL-ASC methodology,a wide-ranging simulation analysis is performed on a soil dataset comprising 156 images and five *** simulation values show the betterment of the GBODL-ASC model through other models with maximum precision of 95.64%.

关键词： Soil classification earth sciences machine learning parameter optimization metaheuristics

Hyper-Parameter Optimization of Semi-Supervised GANs Based-Sine Cosine Algorithm for Multimedia Datasets

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Computers, Materials & Continua 2022年第10期73卷 2169-2186页

作者： Anas Al-Ragehi Said Jadid Abdulkadir amgad Muneer Safwan Sadeq Qasem Al-Tashi Computer and Information Sciences Department Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Centre for Research in Data Science(CERDAS) Universiti Teknologi PETRONASSeri Iskandar32610Malaysia Mechanical Engineering Department Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Department of Imaging Physics The University of Texas MD Anderson Cancer CenterHoustonTXUSA University of Albaydha AlbaydhaYemen

Generative Adversarial Networks(GANs)are neural networks that allow models to learn deep representations without requiring a large amount of training ***-Supervised GAN Classifiers are a recent innovation in GANs,where GANs are used to classify generated images into real and fake and multiple classes,similar to a general multi-class ***,GANs have a sophisticated design that can be challenging to *** is because obtaining the proper set of parameters for all models-generator,discriminator,and classifier is *** a result,training a single GAN model for different datasets may not produce satisfactory ***,this study proposes an SGAN model(Semi-Supervised GAN Classifier).First,a baseline model was *** model was then enhanced by leveraging the Sine-Cosine Algorithm and Synthetic Minority Oversampling Technique(SMOTE).SMOTE was used to address class imbalances in the dataset,while Sine Cosine Algorithm(SCA)was used to optimize the weights of the classifier *** optimal set of hyperparameters(learning rate and batch size)were obtained using grid manual *** well-known benchmark datasets and a set of evaluation measures were used to validate the proposed *** proposed method was then compared against existing models,and the results on each dataset were recorded and demonstrated the effectiveness of the proposed *** proposed model successfully showed improved test accuracy scores of 1%,2%,15%,and 5%on benchmarking multimedia datasets;Modified National Institute of Standards and Technology(MNIST)digits,Fashion MNIST,Pneumonia Chest X-ray,and Facial Emotion Detection Dataset,respectively.

关键词： Generative adversarial networks semi-supervised generative adversarial network sine-cosine algorithm SMOTE principal component analysis grid search

A Hybrid Deep Learning-Based Unsupervised Anomaly Detection in High Dimensional Data

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Computers, Materials & Continua 2022年第3期70卷 5363-5381页

作者： amgad Muneer Shakirah Mohd Taib Suliman Mohamed Fati Abdullateef O.Balogun Izzatdin Abdul Aziz Department of Computer and Information Sciences Universiti Teknologi PETRONASSeri Iskandar32160Malaysia Centre for Research in Data Science(CERDAS) Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Information Systems Department Prince Sultan UniversityRiyadh11586Saudi Arabia

Anomaly detection in high dimensional data is a critical research issue with serious implication in the real-world *** issues in this field still unsolved,so several modern anomaly detection methods struggle to maintain adequate accuracy due to the highly descriptive nature of big *** a phenomenon is referred to as the“curse of dimensionality”that affects traditional techniques in terms of both accuracy and ***,this research proposed a hybrid model based on Deep Autoencoder Neural Network(DANN)with five layers to reduce the difference between the input and *** proposed model was applied to a real-world gas turbine(GT)dataset that contains 87620 columns and 56 *** the experiment,two issues have been investigated and solved to enhance the *** first is the dataset class imbalance,which solved using SMOTE *** second issue is the poor performance,which can be solved using one of the optimization *** optimization algorithms have been investigated and tested,including stochastic gradient descent(SGD),RMSprop,Adam and ***,Adamax optimization algorithm showed the best results when employed to train *** experimental results show that our proposed model can detect the anomalies by efficiently reducing the high dimensionality of dataset with accuracy of 99.40%,F1-score of 0.9649,Area Under the Curve(AUC)rate of 0.9649,and a minimal loss function during the hybrid model training.

关键词： Anomaly detection outlier detection unsupervised learning autoencoder deep learning hybrid model

Molecular underpinnings of corneal angiogenesis:advances over the past decade

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International Journal of Ophthalmology(English edition) 2016年第5期9卷 768-779页

作者： Nizar Saleh Abdelfattah Mohamed amgad Amira A.Zayed Heba Hussein Nawal AbdEl-Baky Doheny Image Reading Center Doheny Eye Institute Faculty of Medicine Cairo University Department of Oncology Mayo ClinicRochester Faculty of Oral and Dental Medicine Cairo University Antibody Laboratory Protein Research DepartmentGenetic Engineering and Biotechnology Research InstituteCity for Scientific Research and Technology Applications

The cornea is maintained in an avascular state by maintaining an environment whereby anti-angiogenic factors take the upper hand over factors promoting angiogenesis. Many of the common pathologies affecting the cornea involve the disruption of such equilibrium and the shift towards new vessel formation, leading to corneal opacity and eventually-vision loss. Therefore it is of paramount importance that the molecular underpinnings of corneal neovascularization（CNV） be clearly understood, in order to develop better targeted treatments. This article is a review of the literature on the recent discoveries regarding pro-angiogenic factors of the cornea（such as vascular endothelial growth factors,fibroblast growth factor and matrix metalloproteinases）and anti-angiogenic factors of the cornea（such as endostatins and neostatins）. Further, we review the molecular underpinnings of lymphangiogenesis, a process now known to be almost separate from（yet related to） hemangiogenesis.

关键词： cornea neovascularization angiogenesis lymphangiogenesis vascular endothelial growth factor

Cloud model-based analysis of regional sustainable water resource utilization schemes

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International Journal of Agricultural and Biological Engineering 2016年第5期9卷 67-75页

作者： Fu Qiang Meng Fanxiang Li Tianxiao Liu Dong Gong Fanli amgad Osman Li Yutong School of Water Conservancy and Civil Engineering Northeast Agricultural UniversityHarbin 150030China Heilongjiang Provincial Collaborative Innovation Center of Grain Production Capacity Improvement Northeast Agricultural UniversityHarbin 150030China Key Laboratory of High Efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture Northeast Agricultural UniversityHarbin 150030China

Given the adverse effects of current water shortages,low utilization and imbalance between the supply and demand,and other status quo problems relating to social economic development,the construction industry and agriculture,a cloud model was applied to a water resource system using five sustainable water resource utilization schemes for Kiamusze,Heilongjiang Province,as an *** research changes the qualitative description of the concept language into a quantitative analysis of an evaluation indicator.A cloud model-based analytical method for regional sustainable water resource utilization schemes was proposed,and the sustainable grades of the water resources were *** research results showed that,in addition to the natural continuation of such schemes,the development trends of four new schemes achieved the sustainable utilization of water resources,and thus,the sustainable water resource utilization was ***,when the open-source,throttle,comprehensive and coordination schemes were subjected to the optimum applicability analysis,based on the limiting factors in different periods,resource availability and long-term development,decision-making regarding the best solution in different periods better ensures sustainable development in *** research results provide a significant theoretical basis for the formulation of scientific and reasonable sustainable water resource utilization strategies in Kiamusze.

关键词： cloud model regional water resources sustainable utilization normal cloud scheme analysis

Unexpectedly low δ^(13)C in leaves,branches,stems and roots of three acacia species growing in hyper-arid environments

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Journal of Plant Ecology 2021年第1期14卷 117-131页

作者： Daphna Uni Elli Groner Elaine Soloway amgad Hjazin Spencer Johnswick Gidon Winters Efrat Sheffer Ido Rog Yael Wagner Tamir Klein Department of Plant and Environmental Sciences Weizmann Institute of ScienceRehovotIsrael The Dead Sea-Arava Science Center Tamar Regional CouncilNeve Zohar 86910Israel Institute of Plant Sciences and Genetic in Agriculture The Robert H.Smith Faculty of AgricultureFood and EnvironmentThe Hebrew University of JerusalemRehovotIsrael Arava Institute for Environmental Studies Kibbutz KeturaIsrael

Aims In plant eco-physiology,less negative(enriched)carbon 13(^(13)C)in the leaves indicates conditions of reducing leaf gas exchange through stomata,*** *** addition,^(13)C is expected to be less negative in non-photosynthetic tissues as compared with ***,these relationships inδ^(13)C from leaves(photosynthetic organs)to branches,stems and roots(non-photosynthetic organs)are rarely tested across multiple closely related tree species,multiple compartments,or in trees growing under extreme heat and *** We measured leaf-to-root^(13)C in three closely related desert acacia species(Acacia tortilis,*** and ***).We measuredδ^(13)C in leaf tissues from mature trees in southern *** parallel,a 7-year irrigation experiment with 0.5,1.0 or 4.0 L day1 was conducted in an experimental *** the end of the experiment,growth parameters andδ^(13)C were measured in leaves,branches,stems and *** Findings Theδ^(13)C in leaf tissues sampled from mature trees was ca.-27‰,far more depleted than expected from a desert tree growing in one of the Earth's driest and hottest *** acacia species and compartments,δ^(13)C was not enriched at all irrigation levels(-28‰to ca.-27‰),confirming our measurements in the mature *** compartments,leafδ^(13)C was unexpectedly similar to branch and rootδ^(13)C,and surprisingly,even less negative than stemδ^(13)*** highly depleted leafδ^(13)C suggests that these trees have high stomatai gas exchange,despite growing in extremely dry *** lack ofδ^(13)C enrichment in nonphotosynthetic tissues might be related to the seasonal coupling of growth of leaves and heterotrophic tissues.

关键词： stable isotope δ^(13)C enrichment desert tree drought resistance Acacia raddiana Acacia tortilis

Diagnostic and treatment utility of echocardiography in the management of the cardiac patient

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World Journal of Cardiology 2020年第6期12卷 262-268页

作者： Ariella Khalili Jennifer Drummond Neiman Ramjattan Roman Zeltser amgad N Makaryus North Shore Hebrew Academy Great NeckNY 11020United States Department of Internal Medicine Tufts Medical CenterBostonMA 10211United States Department of Cardiology Nassau University Medical CenterEast MeadowNY 11554United States Department of Cardiology Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellHempsteadNY 11549United States

BACKGROUND Echocardiograms are an incredibly useful diagnostic tool due to their lack of harmful radiation,the relative ease and speed with which they can be performed,and their almost ubiquitous ***,the advantages that support the use of echocardiography can also lead to the overuse of this *** sought to evaluate the physician perceived impact echocardiography has on patient *** To evaluate the physician perceived impact echocardiography has on patient *** Surveys were distributed to the ordering physician for echocardiograms performed at our institution over a 10-wk *** transthoracic echocardiograms performed on the inpatient service were *** were distributed to either the attending physician or the resident physician listed on the echocardiogram *** information requested in the survey focused on the indication for the study and the perceived importance and effect of the *** statistical analysis was performed on all of the answers from the collected *** A total of 103 surveys were obtained and *** internal medicine(57%)and cardiology(37%)specialties ordered the most *** most common reason for ordering an echocardiogram was to rule out a diagnosis(38.2%).Only 27.5%of physicians reported that the echocardiogram significantly affected patient care,with 18.6%reporting a moderate effect,and 30.4%reporting a mild effect.A total of 19.6%of physicians stated that there was no effect on patient ***,43.1%of physicians reported that they made changes in patient management due to no change having occurred in the disease,11.8%reported that changes in management were based on the recommendation of a specialist,and only 9.8%reported that further imaging was ordered due to the results of the *** majority of physicians(67.6%)considered an echocardiogram to be“somewhat essential”in the management of adult inpat

关键词： Echocardiogram Utilization Cardiology Inpatient Survey Management