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A stepwise optimization strategy to formulate in situ gelling formulations comprising fluconazole-hydroxypropyl-beta-cyclodextrin complex loaded niosomal vesicles and eudragit nanoparticles for enhanced antifungal activity and prolonged ocular delivery

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Asian Journal of Pharmaceutical Sciences 2020年第5期15卷 617-636页

作者： Heba elmotasem ghada e.a.awad Pharmaceutical Technology Department National Research CentreCairo 12622Egypt Chemistry of Natural and Microbial Product Department National Research CentreCairo 12622Egypt

Fungal keratitis and endopthalmitis are serious eye ***(FL)is indicated for their treatment,but suffers from poor topical ocular *** study was intended to improve and prolong its ocular *** niosomal vesicles were prepared using span ***,polymeric nanoparticles were prepared using cationic eudragit RS100 and eudragit *** investigated particles had adequate entrapment efficiency(ee%),nanoscale particle size and high zeta ***,formulations were optimized using full factorial ***-HP-β-CD complex was encapsulated in selected eudragit nanoprticles(FL-CD-eRS1)and niosmal *** niosomes were further coated with cationic and bioadhesive chitosan(FL-CD-Nios-ch).ee%for FL-CD-eRS1 and FL-CD-Niosch formulations were 76.4%and 61.7%;particle sizes were 151.1 and 392 nm;also,they exhibited satisfactory zeta potential+40.1 and+28.5 m *** situ gels were prepared by poloxamer P407,HPMC and chitosan and evaluated for gelling capacity,rheological behavior and gelling *** increase the precorneal residence time,free drug and selected nano-formulations were incorporated in the selected in situ *** study revealed sustained release within 24 *** through excised rabbits corneas demonstrated enhanced drug flux and large AUC0-6 h in comparison to plain *** permeation of selected formulations labeled with Rhodamine B was visualized by Confocal laser *** study and in vivo tolerance test evidenced *** vivo susceptibility test using Candida albicans depicted enhanced growth inhibition and sustained *** this study the adopted stepwise optimization strategy combined cylodextrin complexation,drug nano-encapsulation and loading within thermosenstive in situ ***,the developed innovated formulations displayed boosted corneal permeation,enhanced antifungal activity and prolonged action.

关键词： Fluconazole Ocular eudragit nanoparticles Cyclodextrin Niosomes In situ gel

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Unveiling the Optimal Interfacial Synergy of Plasma-Modulated Trimetallic Mn-Ni-Co Phosphides:Tailoring Deposition Ratio for Complementary Water Splitting

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energy & environmental Materials 2023年第2期6卷 129-141页

作者： Kholoud e.Salem Amina A.Saleh ghada e.Khedr Basamat S.Shaheen Nageh K.Allam energy Materials Laboratory(eML) School of Sciences and EngineeringThe American University in CairoNew Cairo 11835Egypt

Designing highly active,durable,and nonprecious metal-based bifunctional electrocatalysts for overall water electrolysis is of urgent scientific importance to realize the sustainable hydrogen production,which remains a grand ***,an innovative approach is demonstrated to synthesize flower-like 3D homogenous trimetallic Mn,Ni,Co phosphide catalysts directly on nickel foam via electrodeposition followed by plasma *** electrochemical activity of the catalysts with varying Mn:Ni:Co ratios is assessed to identify the optimal composition,demonstrating that the equimolar trimetallic phosphide yields an outstanding HeR catalytic performance with a current density of 10 mA cm^(-2) at an ultra-low overpotential of~14 mV,outperforming the best reported *** is asserted by the DFT calculations,revealing strong interaction of the metals and the P atom,resulting in enhanced water activation and optimized G_(H)^(*)values for the HeR ***,this optimal composition appreciably catalyzes the OeR by exposing more intrinsic active species in-situ formed on the catalyst surface during the ***,the Mn_(1)-Ni_(1)-Co_(1)-P-(O)/NF catalyst exhibits a decreased overpotential of~289 mV at 10 mA cm^(-2).More importantly,the electrocatalyst sustains perfect durability up to 48 h at a current density of 10 mA cm^(-2) and continued 5000 cycling stability for both HeR and ***,the assembled MNC-P/NF||MNC-P/NF full water electrolyzer system attains an extremely low cell voltage of 1.48 V at 10 mA cm^(-2).Significantly,the robust stability of the overall system results in a remarkable current retention of~96%after a continuous 50-h ***,this study provides a facile design and a scalable construction of superb bifunctional ternary MNC-phosphide electrocatalysts for efficient electrochemical energy production systems.

关键词： DFT overall water splitting oxygen evolution reaction(OeR)/hydrogen evolution reaction(HeR) plasma ternary metallic phosphides(MnNiCo)

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Significance of serum leptin and adiponectin levels in egyptian patients with chronic hepatitis C virus associated hepatic steatosis and fibrosis

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World Journal of Hepatology 2013年第2期5卷 74-81页

作者： Tarek e Korah Sawsan el-Sayed Maathir K elShafie ghada e Hammoda Manal A Safan Department of Internal Medicine Faculty of MedicineMenoufiya University32511 MenoufiyaEgypt Department of Tropical Medicine Faculty of MedicineMenoufiya University32511 MenoufiyaEgypt Department of Medical Biochemistry Faculty of MedicineMenoufiya University32511 MenoufiyaEgypt

AIM:To study serum levels of leptin and adiponectin in patients with chronic hepatitis C virus infection genotype-4(HCV-4) related steatosis and ***:We prospectively studied 45 untreated men with chronic HCV-4,with proven steatosis(group Ⅰ,30 patients),and fibrosis(group Ⅱ,15 patients),on liver *** addition,15 healthy men(group Ⅲ),matched for age,and body mass index were ***,we excluded another five patients with steatohepatitis,and six patients with *** measured total serum leptin and adiponectin levels,as potential predictors for liver steatosis and ***,a correlation between these adipokines and various clinical and laboratory data were *** subjects were selected from Tropical and Internal medicine departments,Menoufiya University Hospital,Menoufiya,egypt,during the period from February 2010 to August ***:In group Ⅰ,severity of hepatic steatosis was mild,moderate,and severe,in 19 patients(63.5%),8 patients(26.5%),and 3 patients(10%),*** contrast,in group Ⅱ,hepatic fibrosis was found to be in stage 1,2,and 3,in 6 patients(40%),in 6 patients(40%),and in 3 patients(20%),*** comparing group Ⅰ with group Ⅱ,there was a significant decrease in serum adiponectin levels(131.4 ± 7.91 pg/mL vs 436 ± 9.75 pg/mL,P e there was no significant difference between both groups regarding serum leptin levels(34.69 ± 7.69 ng/mL vs 35.17 ± 1.06 ng/mL,P > 0.05).However,in the same group,when compared with group Ⅲ,there was a significant increase in serum leptin levels(34.69 ± 7.69 ng/mL vs 10.69 ± 0.84 ng/mL,P e there was a significant decrease in serum adiponectin levels(131.4 ± 7.91 pg/mL vs 342.4 ± 44.48 pg/mL,P en compared with group Ⅲ,there was a significant increase in serum leptin and adiponectin levels(35.17 ± 1.06 ng/mL vs 10.69 ± 0.84 ng/mL,P espectively),while the

关键词： Leptin Adiponectin Hepatitis C virus Hepatic steatosis Hepatic fibrosis

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efficient Deep Learning Modalities for Object Detection from Infrared Images

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Computers, Materials & Continua 2022年第8期72卷 2545-2563页

作者： Naglaa F.Soliman e.A.Alabdulkreem Abeer D.Algarni ghada M.el Banby Fathi e.Abd el-Samie Ahmed Sedik 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 Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Industrial electronics and Control engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelSheikh UniversityKafr el-sheikhEgypt

For military warfare purposes,it is necessary to identify the type of a certain weapon through video stream tracking based on infrared(IR)video *** vision is a visual search trend that is used to identify objects in images or video *** military applications,drones take a main role in surveillance tasks,but they cannot be confident for longtime ***,there is a need for such a system,which provides a continuous surveillance task to support the drone *** a system can be called a Hybrid Surveillance System(HSS).This system is based on a distributed network of wireless sensors for continuous *** addition,it includes one or more drones to make short-time missions,if the sensors detect a suspicious *** paper presents a digital solution to identify certain types of concealed weapons in surveillance applications based on Convolutional Neural Networks(CNNs)and Convolutional Long Short-Term Memory(ConvLSTM).Based on initial results,the importance of video frame enhancement is obvious to improve the visibility of objects in video *** accuracy of the proposed methods reach 99%,which reflects the effectiveness of the presented *** addition,the experimental results prove that the proposed methods provide superior performance compared to traditional ones.

关键词： Deep learning object detection military applications OFDM SPIHT IoT

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*** and relaxation dynamics in zinc-borate glasses

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Progress in Natural Science:Materials International 2012年第2期22卷 86-93页

作者： ghada e.el-Falaky Osiris W.Guirguis Nadia S.Abd el-Aal Biophysics Department Faculty of ScienceCairo UniversityEl-Giza 12613Egypt Ultrasonic Laboratory National Institute for StandardsTersa StreetP.O.Box 136El-HaramEl-Giza 12211Egypt

The frequency-dependent dielectric dispersion of ZnO-Na2O-Al2O3-B2O3(in mol%) glass prepared by the melt quenching technique is investigated in the temperature ranges from room temperature to 420 *** relaxation has been analyzed based on the behavior of electric modulus *** analysis of the real and imaginary parts of dielectric is performed assuming the ideal Debye behavior as confirmed by Cole-Cole *** activation energy associated with the dielectric relaxation determined from the electric modulus spectra was found to be 1.863 eV,which is close to that the activation energy for ***(1.871 eV),indicating the similar nature of relaxation and conductivity.

关键词： Zinc-borate glasses A.C.conductivity Dielectric properties Impedance properties

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enhanced Robotic Vision System Based on Deep Learning and Image Fusion

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Computers, Materials & Continua 2022年第10期73卷 1845-1861页

作者： e.A.Alabdulkreem Ahmed Sedik Abeer D.Algarni ghada M.el Banby Fathi e.Abd el-Samie Naglaa F.Soliman Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelSheikh UniversityKafrelsheikh33511Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Industrial electronics and Control engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt

Image fusion has become one of the interesting fields that attract researchers to integrate information from different image *** is involved in several *** of the recent applications is the robotic *** application necessitates image enhancement of both infrared(IR)and visible *** paper presents a Robot Human Interaction System(RHIS)based on image fusion and deep *** basic objective of this system is to fuse visual and IR images for efficient feature extraction from the captured ***,an enhancement model is carried out on the fused image to increase its *** image enhancement models such as fuzzy logic,Convolutional Neural Network(CNN)and residual network(ResNet)pre-trained model are utilized on the fusion results and they are compared with each other and with the state-of-the-art *** results prove that the fuzzy logic enhancement gives the best results from the image quality ***,the proposed system can be considered as an efficient solution for the robotic vision problem with multi-modality images.

关键词： Deep learning fuzzy logic image fusion IR images

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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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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

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An efficient Medical Image Deep Fusion Model Based on Convolutional Neural Networks

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Computers, Materials & Continua 2023年第2期74卷 2905-2925页

作者： Walid el-Shafai Noha A.el-Hag Ahmed Sedik ghada elbanby Fathi e.Abd el-Samie Naglaa F.Soliman Hussah Nasser Aleisa Mohammed e.Abdel Samea Department of electronics and electrical Communications engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Higher Institute of Commercial Science Management Information SystemsEl-Mahala El-KobraEgypt Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Industrial electronics and Control engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Medical Imaging and Interventional Radiology National Liver InstituteMenoufia UniversityEgypt

Medical image fusion is considered the best method for obtaining one image with rich details for efficient medical diagnosis and *** learning provides a high performance for several medical image analysis *** paper proposes a deep learning model for the medical image fusion *** model depends on Convolutional Neural Network(CNN).The basic idea of the proposed model is to extract features from both CT and MR ***,an additional process is executed on the extracted *** that,the fused feature map is reconstructed to obtain the resulting fused ***,the quality of the resulting fused image is enhanced by various enhancement techniques such as Histogram Matching(HM),Histogram equalization(He),fuzzy technique,fuzzy type,and Contrast Limited Histogram equalization(CLAHe).The performance of the proposed fusion-based CNN model is measured by various metrics of the fusion and enhancement *** realistic datasets of different modalities and diseases are tested and ***,real datasets are tested in the simulation analysis.

关键词： Image fusion CNN deep learning feature extraction evaluation metrics medical diagnosis

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Antimicrobial properties of dental cements modified with zein-coated magnesium oxide nanoparticles

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Bioactive Materials 2022年第2期7卷 49-56页

作者： ghada H.Naguib Hani M.Nassar Mohamed T.Hamed Department of Restorative Dentistry Faculty of DentistryKing Abdulaziz UniversityJeddahSaudi Arabia Department of Oral Biology Faculty of DentistryCairo UniversityCairoEgypt Department of Oral and Maxillofacial Prosthodontics King Abdulaziz UniversityFaculty of DentistryJeddahSaudi Arabia Department of Fixed Prosthodontics Faculty of DentistryCairo UniversityCairoEgypt

The aim of this study was to test the antimicrobial properties of dental cements modified with magnesium oxide(MgO)***-modified MgO nanoparticles(zMgO)in concentrations(0.0,0.3,0.5,and 1.0%)were mixed with dental cements(Fuji II,Rely X Temp e,Ionoglass Cem,es Temp Ne,and System P link).eight discs were fabricated from each zMgO-cement pair for a total of 32 specimens for each *** of the dental cements incorporating zMgO was done by X-ray Diffraction(XRD)and Field emission Scanning electron Microscopy(FeSeM).The antimicrobial properties of the mixtures were tested using direct contact and agar diffusion assays against Streptococcus mutans,Staphylococcus aureus,enterococcus faecalis,and Candida *** was analyzed using two-way analysis of variance and LSD post hoc test at 0.05 significance *** spectra showed sharp peaks of zMgO indicating its high crystalline nature,while the amorphous dental cements with zMgO had broad *** analysis showed a uniform distribution of the zMgO nanoparticles in the *** were significant inhibition zone values associated with all concentrations of zMgO-cement mixtures tested compared to controls(pe-response recorded only with Fuji *** density values were significantly lower in zMgO groups compared to controls for all *** effect was most prominent with Rely X against *** and *** cements containing zMgO showed significant antimicrobial properties that were dependent on the specific initial cement substrate.

关键词： Magnesium oxide nanoparticles Antimicrobial biomaterials Dental cement Nanocoatings

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