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Chinese Journal of Chemistry 2011年第7期29卷 1401-1410页

作者： Etaiw, Safaa el-din H. elsherbiny, abeer S. Badr el-din, Ahmed S. Chemistry Department Faculty of Science Tanta University Tanta Egypt

Five new metal-organic frameworks （MOFs） of the general composition [Ph3SnCu（CN）2.L], where L= pyrazine （pyz）（1）, methylpyrazine （mepyz）（2）, 4,4＇-bipyridine （bpy）（3）, trans-l,2-bis（4-pyridyl）ethene （tbpe）（4） or 1,2-bis（4-pyridyl）ethane （bpe）（5）, have been synthesized and characterized to test their potential applications as catalysts. The structures of the MOFs 1--5 mainly consist of Cu（CN）2 building blocks connected by the Ph3Sn cations and the bipodal ligand forming polymeric networks. They exhibit strong fluorescence in the solid state. Also, they are used as heterogeneous catalysts for the degradation of azo-dyes, metanil yellow （MY） by diluted solution of hydrogen peroxide as oxidant. The reaction is first order with respect to MY dye, while the factors affecting the rate constant of the degradation reaction are investigated. The activation parameters of the reaction have been estimated and a possible mechanism has been proposed.

关键词： copper tin heterogeneous catalyst metanil yellow hydrogen peroxide

An Efficient GCD-Based Cancelable Biometric Algorithm for Single and Multiple Biometrics

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Computers, Materials & Continua 2021年第11期69卷 1571-1595页

作者： Naglaa F.Soliman abeer D.Algarni Walid el-Shafai Fathi E.Abd el-Samie Ghada M.el Banby Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Cancelable biometrics are required in most remote access applications that need an authentication stage such as the cloud and Internet of Things(IoT)*** objective of using cancelable biometrics is to save the original ones from hacking attempts.A generalized algorithm to generate cancelable templates that is applicable on both single and multiple biometrics is proposed in this paper to be considered for cloud and IoT *** original biometric is blurred with two co-prime ***,it can be recovered as the Greatest Common Divisor(GCD)between its two blurred *** changes if induced in the biometric image prior to processing with co-prime operators prevents the recovery of the original biometric image through a GCD ***,the ability to change cancelable templates is guaranteed,since the owner of the biometric can pre-determine and manage the minimal change induced in the biometric ***,we test the utility of the proposed algorithm in the single-and multi-biometric *** multi-biometric scenario depends on compressing face,fingerprint,iris,and palm print images,simultaneously,to generate the cancelable *** metrics such as Equal Error Rate(EER)and Area and Receiver Operator Characteristic curve(AROC)are *** results on single-and multi-biometric scenarios show high AROC values up to 99.59%,and low EER values down to 0.04%.

关键词： Cloud IoT cancelable biometrics GCD single-and multi-biometrics security applications

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

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

Tuberculosis/toxoplasmosis co-infection in Egyptian patients:A reciprocal impact

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Asian Pacific Journal of Tropical Medicine 2017年第3期10卷 295-299页

作者： Mervat Mashaly Nairmen Nabih Iman M.Fawzy abeer A.el Henawy Department of Clinical Pathology Microbiology UnitFaculty of MedicineMansoura University Department of Medical Parasitology Faculty of MedicineMansoura University Department of Laboratory Medicine Mansoura Fever HospitalMinistry of Health 不详

Objective:To assess the concurrent toxoplasmosis infection in Egyptian TB patients and the impact of each infection on the other in terms of increased severity of TB or reactivation of latent Toxoplasma ***:Three hundred suspected pulmonary TB cases were initially screened for TB using direct Ziehl Neelsen staining and Lowenstein Jensen culture of their *** resistance was detected by Xpert MTB/RIF *** group of 30 age and sex-matched healthy individuals negative for TB was included for *** subjects were further assessed for serum levels of anti-Toxoplasma Ig G antibodies and malondialdehyde(MDA).Results:Forty three confirmed TB-infected patients including 10(23.3%)rifampicin-resistant patients were *** toxoplasmosis was found to be significantly higher among TB patients(OR=2.709;95%CI:1.034-7.099;Pels of anti-Toxoplasma IgG antibodies and MDA were significantly higher among TB patients than the control ***,serum level of MDA was significantly higher among TB/Toxoplasma co-infected patients as compared to toxoplasmosis free-TB *** positive correlation was detected between serum levels of anti-Toxoplasma Ig G and MDA in TB patients(r=0.75,P=0.001).Conclusions:Among pulmonary TB Egyptian patients,there is a considerable prevalence of *** of pulmonary tuberculosis could be increased by Toxoplasma co-infection.

关键词： Co-infection MDA Oxidative stress Toxoplasmosis Tuberculosis

Synthesis, Spectroscopic and Antimicrobial Investigations of Scandium(Ⅲ) Complexes with Four Kinds of Sulfa Drugs

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光谱学与光谱分析 2020年第3期40卷 985-990页

作者： Moamen S.Refat abeer A.el-Habeeb Chemistry Department Faculty of ScienceTaif UniversityP.O.Box888Al-HawiahTaif 21974Saudi Arabia Department of Chemistry Faculty of SciencePort SaidPort Said UniversityEgypt Colege of Science Princess Nourah Bint Abdulrahman UniversityDepartment of ChemistryKSA

Herein,this article was focused on the synthesis and discussed the spectroscopic characterizations of four new scandium(Ⅲ)sulfa-drug *** nomenclature and symbols of these drugs were sulfadimidine(sulp-1),sulfanilamide(sulp-2),sulfamethoxazole(sulp-3)and sulfadiazine(sulp-4).The microanalytical and spectroscopic analyses which utilized in this study were micro-analyses,magnetic,FT-IR,UV-Vis *** mid infrared spectra deduced that the four sulfa-drug chelates acts as a bidentate chelates with scandium(Ⅲ)ion via two nitrogen atoms of-NH2-Ar and-NH-SO2 ***,the FTIR spectra of Sc3+complexes referred to the existed of new medium weak bands in the range of 500~400 cm^-1 due to stretching vibration bands ofν(M-N).The elemental analysis technique confirmed the 1∶2 stoichiometry between Sc3+ions and sulp ligand with molecular formula[Sc(sulp)2(Cl)2]·*** room temperature,the results of magnetic measurements for the Sc(Ⅲ)complexes indicated that all of the synthesized complexes have a diamagnetic character with octahedral *** electronic spectra of the free sulfa-drug ligands shows band at 275 and 310 nm which are intraligand charge transfer *** electronic sbsorption spectra of the Sc3+complexes were recorded using DMSO *** spectra of complexes display bands within 275~388 nm,which attributed toπ-π*,n-π*and charge-transfer M-LCT electronic transitions,which strongly favors the octahedral geometry around Sc(Ⅲ)metal ions.1HNMR spectra of complexes referred to the downfield proton shifts of the-NH2 and NHSO2 groups,which supported the place of *** half maximal inhibitory concentration(IC50)of the ScⅢcomplexes was assessed against the human hepato cellular carcinoma(HepG-2)tumor cell line.

关键词： Sulfa-drugs Sc~Ⅲ Spectroscopic Chelation Nano-particles Antimicrobial

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

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

Is toxoplasmosis a potential risk factor for liver cirrhosis?

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Asian Pacific Journal of Tropical Medicine 2015年第10期8卷 768-775页

作者： abeer Abd el-Rehim el-Henawy Ahmed Abdel-Razik Sahar Zakaria Dina elhammady Niveen Saudy Manar Sobh Azab Department of Medical Parasitology Faculty of MedicineMansoura University Department of Tropical Medicine Faculty of MedicineMansoura University Department of Clinical Pathology Faculty of MedicineMansoura University

Objective:To document Toxoplasma gondii(***) antibody status in patients with liver disease,blood samples were taken from 180 hepatic patients and 180 healthy ***:Toxoplasma IgG antibody was detected using enzyme-linked immunosorbent assay and histopathological assessment of liver biopsy METAVIR score was ***:*** IgG antibodies were found in 32.8%of patients and in 22.2%of controls(P=0.02).Toxoplasma seropositivity was significantly associated with lymphadenopathy,history of blood transfusion and reflex impairment in *** hepatitis C virus(HCV)and chronic HCV-related cirrhosis groups compared to chronic HBV and chronic HBV-related cirrhosis groups expressed significantly higher prevalence of *** seropositivity(odds ratio(OR) =4;95%confidence interval(CI):1.3-12.6;P=0.013,OR=4.8;95%CI:1.5-14.9;P=0.006,respectively).Within the chronic HCV group,*** seropositivity significantly associated disease evolution as regards to METAVIR histopathological system for fibrosis and inflammation(OR=19.4;95%CI:2.3-165.2;P=0.0008,OR=0.29;95%CI:0.1-0.8;P=0.01,respectively).Albumin,international normalized ratio(INR) and platelets count were the laboratory parameters significantly altered in Toxoplasma-positrvc chronic HCV patients(P=0.00 l,0.03,0.04,respectively).Child-Pugh scoring for cirrhosis in chronic HCV group placed the majority of seropositive patient in class C with significant statistical difference compared to Child A reference group(OR= 0.08;95%67:0.01-0.5;P=0.003).Conclusions:Toxoplasma seropositivity was high in patients with cirrhosis and associated higher grades of inflammation and necrosis signifying disease evolution,suggesting that cirrhotic patients may thus form a risk group for toxoplasmosis.

关键词： Toxoplasma gondii HBV HCV Liver cirrhosis METAVIR

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