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Effect of single subconjunctival injection of bevacizumab on primary pterygium:clinical,histopathological and immunohistochemical study

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International Journal of Ophthalmology(English edition) 2018年第5期11卷 797-801页

作者： Tarek A Mohamed Wael Soliman Ahmed M.Fathalla abeer el refaie Department of Ophthalmology Assiut University Hospital Department of Pathology Faculty of MedicineAssiut University

AIM：To evaluate the effect（clinically,histopathologically and immunohistochemically） and safety of a single intrapterygium injection of ***：Prospective interventional study comprised 40 eyes of 40 patients with primary fleshy pterygia who attended the Outpatient Clinic of Department of Ophthalmology,Assiut University Hospitals,Egypt from May 2015 to May *** were randomly classified into 2 groups：the first group received a single intralesional injection of bevacizumab（Avastin;Genentech,San Francisco,CA,USA）;the second group comprised patients who did not receive subconjunctival *** of pterygium and conjunctival auto graft was done in both *** excised pterygium tissues were subjected to histopathological and immunohistochemical ***：The study comprised 40 eyes of 40 patients（33 men,7 women） of age range from 31-58 *** study group included 22 *** control group included 18 eyes.A decrease in the vascularity of the pterygium was noted in all injected *** mean vessel count was higher in non-injected pterygia than that in injected pterygia and the difference was statistically significant（P=0.001）.Also,the mean vessel count in both groups was significantly higher than normal conjunctive（P=0.005 and 0.001）.A statistically significant difference in vascular endothelial growth factor（VEGF） expression between injected and non-injected cases was detected in the epithelial,stromal and endothelial cells（P=0.0001,0.016,0.014）.No serious intraoperative complications occurred in both ***：The use of single intra lesional injection of Avastin in pterygium decreased vascularity and decreased VEGF expression in injected pterygium after one *** study proved the effect of single intra lesional injection of Avastin on *** studies may enable limiting the need for surgery and improve quality of life for patients with pterygia.

关键词： pterygiurn vascularity bevacizumab vessel count

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Assembly of functional carboxymethyl cellulose/polyethylene oxide/anatase TiO_(2) nanocomposites and tuning the dielectric relaxation, optical, and photoluminescence performances

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Journal of Semiconductors 2024年第7期45卷 26-38页

作者： Asmaa M.Ismail abeer A.Reffaee Fawzy G.el Desouky Spectroscopy Department Physics Research InstituteNational Research CentreGizaCairo 12622Egypt Microwave Physics and Dielectrics Department National Research CentreDokkiCairoEgypt Solid State Physics Department Physics Research InstituteNational Research CentreGizaCairo 12622Egypt

Nanocomposite films consisting of carboxymethyl cellulose,polyethylene oxide(CMC/PEO),and anatase titanium diox-ide(TO)were produced by the use of sol-gel and solution casting ***2 nanocrystals were effectively incorporated into CMC/PEO polymers,as shown by X-ray diffraction(XRD)and attenuated total reflectance fourier transform infrared(ATR-FTIR)*** roughness growth is at high levels of TO nanocrystals(TO NCs),which means increasing active sites and defects in CMC/*** differential scanning calorimetry(DSC)thermograms,the change in glass transition temperature(Tg)val-ues verifies that the polymer blend interacts with TO *** increment proportions of TO NCs have a notable impact on the dielectric performances of the nanocomposites,as *** electrical properties of the CMC/PEO/TO nanocomposite undergo significant *** nanocomposite films exhibit a red alteration in the absorption edge as the concentration of TO NCs increases in the polymer *** decline in the energy gap is readily apparent as the weight percentage of TO NCs *** photoluminescence(PL)emission spectra indicate that the sites of the luminescence peak maximums show slight variation;peaks get wider,while their intensities decrease dramatically as the concentration of TO *** nanocomposite materials show potential for multifunctional applications including optoelectronics,antireflection coatings,pho-tocatalysis,light emitting diodes,and solid polymer electrolytes.

关键词： anatase TiO_(2) CMC/PEO nanocomposites optical photoluminescent electrical optoelectronics

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Metabolic aspects of hepatitis C virus

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World Journal of Gastroenterology 2022年第22期28卷 2429-2436页

作者： Mohamed el-Kassas abeer Awad Department of Endemic Medicine Faculty of MedicineHelwan UniversityCairo 11795Egypt Department of Internal Medicine Faculty of MedicineCairo UniversityCairo 11566Egypt

Many metabolic factors are associated with chronic hepatitis C virus(HCV)infection and can influence the course of the illness and impact the progression of liver and non-liver-related diseases through complex *** of these factors impact the course of chronic HCV(CHC)and result in the conceptual translation of CHC from a localized to systemic *** the traditional liver manifestations associated with CHC infection,such as cirrhosis and hepatocellular carcinoma,various extrahepatic disorders are associated with HCV infection,including atherosclerosis,glucose and lipid metabolic disturbances,alterations in the iron metabolic pathways,and lymphoproliferative *** coexistence of metabolic disorders and CHC is known to influence the chronicity and virulence of HCV and accelerates the progression to liver fibrosis and hepatocellular *** resistance is one of the key factors that have a tremendous metabolic impact on ***,there is a great need to properly evaluate patients with CHC infection and correct the modifiable metabolic risk ***,patients with HCV who achieved a sustained virological response showed an overall improvement in glucose metabolism,but the exact evidence still requires further studies with long-term *** review delineates the most recent evidence on the main metabolic factors associated with CHC and the possible influence of chronic HCV infection on metabolic features.

关键词： Hepatitis C virus Metabolic factors Steatosis Insulin resistance

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An Efficient CNN-Based Hybrid Classification and Segmentation Approach for COVID-19 Detection

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Computers, Materials & Continua 2022年第3期70卷 4393-4410页

作者： abeer D.Algarni Walid el-Shafai Ghada M.el Banby Fathi E.Abd el-Samie Naglaa F.Soliman Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 84428Saudi Arabia Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of electronics and Communications Engineering Faculty of EngineeringZagazig UniversityZagazigSharqia 44519Egypt

COVID-19 remains to proliferate precipitously in the *** has significantly influenced public health,the world economy,and the persons’***,there is a need to speed up the diagnosis and precautions to deal with COVID-19 *** this explosion of this pandemic,there is a need for automated diagnosis tools to help specialists based onmedical *** paper presents a hybrid Convolutional Neural Network(CNN)-based classification and segmentation approach for COVID-19 detection from Computed Tomography(CT)*** proposed approach is employed to classify and segment the COVID-19,pneumonia,and normal CT *** classification stage is firstly applied to detect and classify the input medical CT ***,the segmentation stage is performed to distinguish between pneumonia and COVID-19 CT *** classification stage is implemented based on a simple and efficient CNN deep learning *** model comprises four Rectified Linear Units(RelUs),four batch normalization layers,and four convolutional(Conv)*** layer depends on filters with sizes of 64,32,16,and 8.A2×2windowand a stride of 2 are employed in the utilized four max-pooling layers.A soft-max activation function and a Fully-Connected(FC)layer are utilized in the classification stage to perform the detection *** the segmentation process,the Simplified Pulse Coupled Neural Network(SPCNN)is utilized in the proposed hybrid *** proposed segmentation approach is based on salient object detection to localize the COVID-19 or pneumonia region,*** summarize the contributions of the paper,we can say that the classification process with a CNN model can be the first stage a highly-effective automated diagnosis *** the images are accepted by the system,it is possible to perform further processing through a segmentation process to isolate the regions of interest in the *** region of interest can be assesses both automatically and through ***

关键词： COVID-19 segmentation classification CNN SPCNN CT images

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Automated COVID-19 Detection Based on Single-Image Super-Resolution and CNN Models

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Computers, Materials & Continua 2022年第1期70卷 1141-1157页

作者： Walid el-Shafai Anas M.Ali el-Sayed M.el-Rabaie Naglaa F.Soliman abeer D.Algarni Fathi E.Abd el-Samie Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

In developing countries,medical diagnosis is expensive and time ***,automatic diagnosis can be a good cheap *** task can be performed with artificial intelligence tools such as deep Convolutional Neural Networks(CNNs).These tools can be used on medical images to speed up the diagnosis process and save the efforts of *** deep CNNs allow direct learning from the medical ***,the accessibility of classified data is still the largest challenge,particularly in the field of medical *** learning can deliver an effective and promising solution by transferring knowledge from universal object detection CNNs to medical image ***,because of the inhomogeneity and enormous overlap in intensity between medical images in terms of features in the diagnosis of Pneumonia and COVID-19,transfer learning is not usually a robust ***-Image Super-Resolution(SISR)can facilitate learning to enhance computer vision functions,apart from enhancing perceptual image ***,it helps in showing the main features of *** by the challenging dilemma of Pneumonia and COVID-19 diagnosis,this paper introduces a hybrid CNN model,namely SIGTra,to generate super-resolution versions of X-ray and CT *** depends on aGenerative Adversarial Network(GAN)for the super-resolution reconstruction ***,Transfer learning with CNN(TCNN)is adopted for the classification of *** different categories of chest X-ray and CT images can be classified with the proposed model.A comparison study is presented between the proposed SIGTra model and the other relatedCNNmodels for COVID-19 detection in terms of precision,sensitivity,and accuracy.

关键词： Medical images SIGTra GAN CT and X-ray images SISR TCNN

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Chelation Assignments of Ga^Ⅲ,Ge^Ⅳand Si^ⅣMetal Ions WithPipemidic Acid Antibiotic Drug:Synthesis,Spectroscopic Characterizations and Biological Studies

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光谱学与光谱分析 2020年第10期40卷 3303-3308页

作者： abeer A el-Habeeb Department of Chemistry College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia

Pipemidic acid is one of an efficient quinolone antibacterial *** pipemidic acid“Hpipc”withgallium(Ⅲ),germanium(Ⅳ)and silicon(Ⅳ)afforded three molecular formulas of[Ga(pipc)2(H 2O)(Cl)]·4H 2O,1,[Ge(pipc)2(Cl)2]·4H 2O,2 and[Si(pipc)2(Cl)2]·4H 2O,3 *** three new complexes were characterized based on elemental analysis,conductance,FTIR,UV-Vis,^1HNMR and XRD *** pipc chelate exhibits O,O coordinated through the carbonyl(C O)and carboxylato(COO)of both oxygen *** coordinate geometry was proposed regarding complexes of 2 and 3,so the axial position was occupied by two coordinated *** vitro,the antibacterial,antifungal,and anti-cancer assessments concerning the synthesized pipc complexes were *** complexes have an excellent anti-microbial activity.

关键词： Pipemidic Metal ions Chelation FTIR XRD Biological activity

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Efficient Forgery Detection Approaches for Digital Color Images

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Computers, Materials & Continua 2022年第5期71卷 3257-3276页

作者： Amira Baumy abeer D.Algarni Mahmoud Abdalla Walid el-Shafai Fathi E.Abd el-Samie Naglaa F.Soliman Department of Communications High Institute for Engineering and TechnologyAl-Obour Obour CityEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of electronics and Communications Engineering Faculty of EngineeringZagazig UniversityZagazigSharqia44519Egypt Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia

This paper is concerned with a vital topic in image processing:color image forgery detection. The development of computing capabilitieshas led to a breakthrough in hacking and forgery attacks on signal, image,and data communicated over networks. Hence, there is an urgent need fordeveloping efficient image forgery detection algorithms. Two main types offorgery are considered in this paper: splicing and copy-move. Splicing isperformed by inserting a part of an image into another image. On the otherhand, copy-move forgery is performed by copying a part of the image intoanother position in the same image. The proposed approach for splicingdetection is based on the assumption that illumination between the originaland tampered images is different. To detect the difference between the originaland tampered images, the homomorphic transform separates the illuminationcomponent from the reflectance component. The illumination histogramderivative is used for detecting the difference in illumination, and henceforgery detection is accomplished. Prior to performing the forgery detectionprocess, some pre-processing techniques, including histogram equalization,histogram matching, high-pass filtering, homomorphic enhancement, andsingle image super-resolution, are introduced to reinforce the details andchanges between the original and embedded sections. The proposed approachfor copy-move forgery detection is performed with the Speeded Up RobustFeatures (SURF) algorithm, which extracts feature points and feature vectors. Searching for the copied partition is accomplished through matchingwith Euclidian distance and hierarchical clustering. In addition, some preprocessing methods are used with the SURF algorithm, such as histogramequalization and single-mage super-resolution. Simulation results proved thefeasibility and the robustness of the pre-processing step in homomorphicdetection and SURF detection algorithms for splicing and copy-move forgerydetection, respectively.

关键词： Image forgery splicing algorithm copy-move algorithm histogram matching homomorphic enhancement SISR SURF

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Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis

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Computers, Materials & Continua 2022年第3期70卷 6107-6125页

作者： Walid el-Shafai Samy Abd el-Nabi el-Sayed Mel-Rabaie Anas M.Ali Naglaa F.Soliman abeer D.Algarni Fathi E.Abd el-Samie Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Effective medical diagnosis is dramatically expensive,especially in third-world *** of the common diseases is pneumonia,and because of the remarkable similarity between its types and the limited number of medical images for recent diseases related to pneumonia,themedical diagnosis of these diseases is a significant ***,transfer learning represents a promising solution in transferring knowledge from generic tasks to specific ***,experimentation and utilization of different models of transfer learning do not achieve satisfactory *** this study,we suggest the implementation of an automatic detectionmodel,namelyCADTra,to efficiently diagnose pneumonia-related *** model is based on classification,denoising autoencoder,and transfer ***,pre-processing is employed to prepare the medical *** depends on an autoencoder denoising(AD)algorithm with a modified loss function depending on a Gaussian distribution for decoder output to maximize the chances for recovering inputs and clearly demonstrate their features,in order to improve the diagnosis ***,classification is performed using a transfer learning model and a four-layer convolution neural network(FCNN)to detect *** proposed model supports binary classification of chest computed tomography(CT)images and multi-class classification of chest X-ray ***,a comparative study is introduced for the classification performance with and without the denoising *** proposed model achieves precisions of 98%and 99%for binary classification and multi-class classification,respectively,with the different ratios for training and *** demonstrate the efficiency and superiority of the proposed CADTra model,it is compared with some recent state-of-the-art CNN *** achieved outcomes prove that the suggested model can help radiologists to detect pneumonia-related diseases and improve the diagnostic efficiency compared to the exis

关键词： Medical images CADTra AD CT and X-ray images autoencoder

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Secure and Robust Optical Multi-Stage Medical Image Cryptosystem

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Computers, Materials & Continua 2022年第1期70卷 895-913页

作者： Walid el-Shafai Moustafa H.Aly abeer D.Algarni Fathi E.Abd el-Samie Naglaa F.Soliman Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electronics and Communications Engineering College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt

Due to the rapid growth of telemedicine and healthcare services,color medical image security applications have been expanded *** this paper,an asymmetric PTFrFT(Phase Truncated Fractional Fourier Transform)-based color medical image cryptosystem is *** different phases in the fractional Fourier and output planes are provided as deciphering ***,the ciphering keys will not be employed for the deciphering ***,the introduced PTFrFT algorithm comprises asymmetric ciphering and deciphering processes in contrast to the traditional optical symmetric OSH(Optical Scanning Holography)and DRPE(Double Random Phase Encoding)*** of the principal impacts of the introduced asymmetric cryptosystem is that it eliminates the onedimensionality aspects of the related symmetric cryptosystems due to its remarkable feature of phase nonlinear truncation *** comparisons on various colormedical images are examined and analyzed to substantiate the cryptosystem *** achieved experimental outcomes ensure that the introduced cryptosystem is robust and *** has terrific cryptography performance compared to conventional cryptography algorithms,even in the presence of noise and severe channel attacks.

关键词： Optical encryption medical image security symmetric and asymmetric encryption OSH DRPE PTFrFT

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Secondary antiviral metabolites from fungi with special reference to coronaviruses

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BIOCelL 2022年第8期46卷 1979-1988页

作者： MOHAMED SALEM MOHAMMAD el-METWALLY WESAMelDIN SABER SALLY NEGM ATTALLA el-KOTT YASSER MAZROUA abeer MAKHLOUF MAHMOUD MOUSTAFA Department of Chemistry Faculty of Science and ArtKing Khalid UniversityMohailAssirSaudi Arabia Department of Chemistry Faculty of ScienceAl-Azhar UniversityCairoEgypt Botany and Microbiology Department Faculty of ScienceDamanhour UniversityEl-BeheraEgypt Microbial Activity Unit Department of MicrobiologySoilsWater and Environment Research InstituteAgricultural Research CenterGizaEgypt Life Sciences Department College of Science and ArtKing Khalid UniversityMohailAseerSaudi Arabia Unit of Food Bacteriology Central Laboratory of Food HygieneMinistry of HealthSharkiaEgypt Department of Biology College of ScienceKing Khalid UniversityAbhaSaudi Arabia Zoology Department Faculty of ScienceDamanhour UniversityEl-BeheraEgypt Department of Business Administration Community CollegeKing Khalid UniversityAbhaSaudi Arabia Department of Agricultural Economics Faculty of AgricultureTanta UniversityTantaEgypt Department of Botany Faculty of AgricultureMenoufia UniversitySheben El-KomMenoufiaEgypt Botany and Microbiology Department Faculty of ScienceSouth Valley UniversityQenaEgypt

Profound inspection of the life forms on the earth teaches how to be the complexity of interrelationships among the various *** of the emergence of novel viruses all the time and the inadequate of vaccines and antivirals,viral contagions are amongst the most causative diseases affecting people *** exemplify a massive source of bioactive molecules as,many fungal secondary metabolities like Oxoglyantrypine,Carneic acid F,Scedapin C,Asteltoxin E,Phomanolide,Norquinadoline A and Quinadoline B have antiviral *** review deals with how secondary metabolites of fungi can help in the war against viruses in general and especially Coronaviruses moreover several pieces of literature pointed out that many clusters of fungi in different biotopes are waiting to be exploited.

关键词： COVID-19 SARS-CoV-2 Antibiotics Virus Fungi

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