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International Journal of Ophthalmology(English edition) 2019年第3期12卷 387-392页

作者： Tharwat Mokbel Sameh Saleh mona Abdelkader Sherief E.el-khouly Waleed Abou Samra Mohamed Mamdouh Mansoura Ophthlmic Center Faculty of Medicine Mansoura University

AIM: To evaluate the effect of prophylactic administration of nepafenac in prevention of macular edema occurring in diabetic patients after phacoemulsification and to investigate the correlation between optical coherence tomography(OCT) foveal thickness and multifocal electroretinogram(MF-ERG) ***: The study included two groups. Group 1 included 50 diabetic patients with senile cataract(50 eyes, 30 females, 20 males, aged 55±7 y) received nepafenac 0.1% eye drop. Group 2 included another 50 diabetic patients with senile cataract(50 eyes, 22 female, 28 males, aged 53.8±8 y) did not receive nepafenac. All patients were followed up for 3 mo postoperatively. OCT and MF-ERG were done preoperative and at 1 wk, 1, 2 and 3 ***: The mean foveal thickness was statistically significantly lower in Group 1. Five eyes in Group 2 developed clinical cystoid macular oedema(CMO)(10%), and no patients in Group 1 developed central macular thickening more than 50 μm. There were insignificant differences in MF-ERG amplitudes and latencies between the two groups except in the five eyes that developed CMO, there statistically significant reduction of MF-ERG amplitude with increase in foveal thickness. CONCLUSION: Perioperative nepafenac reduces the incidence of CMO following uncomplicated phacoemulsification significantly. Nepafenac has no side effects.

关键词： nepafenac macular edema cataract surgery diabetes optical coherence tomography multifocal electroretinogram

Nano-tube TiO_2 as a new catalyst for eco-friendly synthesis of imines in sunlight

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Chinese Chemical Letters 2011年第5期22卷 547-550页

作者： mona Hosseini-Sarvari Department of Chemistry Shiraz UniversityShiraz 71454Iran

Nanomaterials are considered as suitable heterogeneous catalysts for many organic *** nano-tube TiO_2 has been reported as a heterogeneous catalyst,for synthesis of imines in sunlight at room temperature under solvent-free *** condensation of less electrophilic carbonyl compounds with poorly nucleophilic amines was afforded imines in excellent yields.

关键词： Nano-tubes TiO_2 Imines Solvent-free Sunlight

A New Evaluation Criterion for Optimizing the Mechanical Properties of Toughened Polypropylene/Silica Nanocomposites

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Chinese Journal of Polymer Science 2020年第8期38卷 877-887,I0008页

作者： Hossein Pourrahmani mona Golparvar Mohammad Fasihi Group of Energy Materials (E)cole Polytechnique Fédérale de LausanneSion 1951Switzerland School of Chemical Petroleum and Gas EngineeringIran University of Science and TechnologyTehran 16846-13114Iran School of Mechanical Engineering Braunschweig university of technologyBraunschweig 38106Germany

This study aims to experiment with the mechanical properties of polypropylene(PP)/thermoplastic elastomer/nano-silica/compatibilizer nanocomposite using the melt mixing *** addition of polyolefin elastomers has proved to be an approachable solution for low impact strength of PP,while it would also reduce the Young's modulus and tensile *** is why reinforcement would be applied to this combination to enhance the elastic *** mechanical properties of the prepared composites were devised to train an artificial neural network to predict these properties of the system in 6256 unknown ***,the sensitivity analysis was performed and the share of each input parameter on the respective output values was ***,a novel parameter called nanocomposite evaluation criterion(NEC)is introduced to analyze the suitability of the nanocomposites considering the mechanical ***,the formulation with optimal mechanical properties of toughness,elongation at break,tensile strength,Young's modulus,and impact strength was obtained.

关键词： Nanocomposite Polypropylene(PP) Silica Artificial neural networks Nanocomposite evaluation criterion(NEC) Sensitivity analysis

Pegylated interferon α/ribavirin therapy enhances bone mineral density in children with chronic genotype 4 HCV infection

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World Journal of Pediatrics 2017年第4期13卷 346-352页

作者： Ahmed Megahed Nanees Salem Abeer Fathy Tarik Barakat mona Abd el Latif Alsayed Suzy Abd el Mabood Khaled R Zalata Ahmed F Abdalla Pediatric Gastroenterology and Hepatology Unit Mansoura University Children's HospitalFaculty of MedicineMansoura UniversityEgypt Pediatric Endocrinology Unit Mansoura University Children's HospitalFaculty of MedicineMansoura UniversityEgypt Pediatric Hematology&Oncology Unit Mansoura University Children's HospitalFaculty of MedicineMansoura UniversityEgypt Pathology Department Faculty of MedicineMansoura UniversityEgypt

Background:The impact of chronic hepatitis C (CHC) on bone mineral density (BMD) has been well studied in adults with a relative paucity of data in children,especially concerning effect of treatment with pegylated interferon (PEG-IFN) plus ribavirin (RV).In the current work,we assessed prospectively changes in BMD in children with CHC before,during,and after ***:Forty-six consecutive children with noncirrhotic genotype 4 CHC were subjected to dual-energy X-ray absorptiometry at baseline,24 weeks,48 weeks of therapy and 24 weeks after ***,bone mineral content (BMC),and Z score of lumbar spine (L2-L4) were *** pubertal stage,viral load,liver function tests,serum calcium,phosphorus,alkaline phosphatase,parathyroid hormone,and liver histopathology were assessed in all included ***:Thirty (65.2%) patients had normal BMD,10 (21.7%) were at risk for low BMD,and 6 (13.1%) had low BMD for chronological *** with low BMD were significantly older (P=0.001),with higher frequency of delayed puberty than other groups (P=0.002).Baseline densitometric parameters (BMD & BMC) were significantly positively correlated with patients' age,weight,height,body mass index and hemoglobin level;while they were insignificantly correlated with basal viral load,histopathology activity index and fibrosis *** parameters improved significantly on PEG-IFN plus RV treatment,this improvement was found to be sustainable 24 weeks after ***:Low BMD is detectable in a proportion of CHC *** therapy leads to a sustainable increase in BMD.

关键词： bone mineral density chronic hepatitis C pegylated interferon ribavirin

Revolutionizing diabetic retinopathy screening and management:The role of artificial intelligence and machine learning

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World Journal of Clinical Cases 2025年第5期13卷 1-12页

作者： mona Mohamed Ibrahim Abdalla Jaiprakash Mohanraj Department of Human Biology School of MedicineInternational Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia

Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and *** editorial explores the transformative potential of artificial intelligence(AI)and machine learning(ML)in revolutionizing DR *** and ML technologies have demonstrated remarkable advancements in enhancing the accuracy,efficiency,and accessibility of DR screening,helping to overcome barriers to early *** technologies leverage vast datasets to identify patterns and predict disease progression with unprecedented precision,enabling clinicians to make more informed ***,AI-driven solutions hold promise in personalizing management strategies for DR,incorpo-rating predictive analytics to tailor interventions and optimize treatment *** automating routine tasks,AI can reduce the burden on healthcare providers,allowing for a more focused allocation of resources towards complex patient *** review aims to evaluate the current advancements and applic-ations of AI and ML in DR screening,and to discuss the potential of these techno-logies in developing personalized management strategies,ultimately aiming to improve patient outcomes and reduce the global burden of *** integration of AI and ML in DR care represents a paradigm shift,offering a glimpse into the future of ophthalmic healthcare.

关键词： Diabetic retinopathy Artificial intelligence Machine learning Screening Management Predictive analytics Personalized medicine

Metaheuristic Optimization Through Deep Learning Classification of COVID-19 in Chest X-Ray Images

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Computers, Materials & Continua 2022年第11期73卷 4193-4210页

作者： Nagwan Abdel Samee el-Sayed M.el-Kenawy Ghada Atteia mona M.Jamjoom Abdelhameed Ibrahim Abdelaziz A.Abdelhamid Noha E.el-Attar Tarek Gaber Adam Slowik Mahmoud Y.Shams Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura 35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura 35712Egypt Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura University35516MansouraEgypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Faculty of Computers and Artificial Intelligence Benha UniversityEgypt School of Science Engineeringand EnvironmentUniversity of SalfordUK Faculty of Computers and Informatics Suez Canal UniversityIsmailia41522Egypt Koszalin University of Technology Poland Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt

As corona virus disease(COVID-19)is still an ongoing global outbreak,countries around the world continue to take precautions and measures to control the spread of the *** of the excessive number of infected patients and the resulting deficiency of testing kits in hospitals,a rapid,reliable,and automatic detection of COVID-19 is in extreme need to curb the number of *** analyzing the COVID-19 chest X-ray images,a novel metaheuristic approach is proposed based on hybrid dipper throated and particle swarm *** lung region was segmented from the original chest X-ray images and augmented using various transformation ***,the augmented images were fed into the VGG19 deep network for feature *** the other hand,a feature selection method is proposed to select the most significant features that can boost the classification ***,the selected features were input into an optimized neural network for *** neural network is optimized using the proposed hybrid *** experimental results showed that the proposed method achieved 99.88%accuracy,outperforming the existing COVID-19 detection *** addition,a deep statistical analysis is performed to study the performance and stability of the proposed *** results confirm the effectiveness and superiority of the proposed approach.

关键词： Covid-19 feature selection dipper throated optimization particle swarm optimization deep learning

Entropy of Quantum Dynamical Systems and Sufficient Families in Orthomodular Lattices with Bayessian State

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Communications in Theoretical Physics 2008年第9期50卷 551-556页

作者： mona Khare Shraddha Roy Department of Mathematics University of AllahabadAllahabad211 001India Allahabad Mathematical Society 10C.S.P.Singh MargAllahabad211 001India

The purpose of the present paper is to study the entropy hs（Ф） of a quantum dynamical systems Ф = （ L, s, Ф）, where s is a bayessian state on an orthomodular lattice L. Having introduced the notion of entropy hs（ Ф, A） of partition A of a Boolean algebra B with respect to a state s and a state preserving homomorphism Ф, we prove a few results on that, define the entropy of a dynamical system hs（Ф）, and show its invariance. The concept of sufficient families is also given and we establish that hs （Ф） comes out to be equal to the supremum of hs （Ф,A）, where A varies over any sufficient family. The present theory has then been extended to the quantum dynamical system （ L, s, Ф）, which as an effect of the theory of commutators and Bell inequalities can equivalently be replaced by the dynamical system （B, s0, Ф）, where B is a Boolean algebra and so is a state on B.

关键词： orthomodular lattices quantum logic valuation isomorphism partitions entropy quantum dynamical systems sufficient families

Applicability and efficacy of a model for prevention of perinatal transmission of hepatitis B virus infection:Single center study in Egypt

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World Journal of Gastroenterology 2014年第45期20卷 17075-17083页

作者： Hanaa M el-Karaksy Lamiaa M Mohsen Doa'a A Saleh mona S Hamdy Noha A Yassin Mohamed Farouk Mohamed E Salit Mortada H el-Shabrawi Department of Pediatrics Kasr Al-Ainy School of Medicine Cairo University Department of Community Medicine Kasr AlAiny School of Medicine Cairo University Department of Clinical and Chemical Pathology Kasr Al-Ainy School of Medicine Cairo University Department of Obstetrics and Gynecology Kasr Al-Ainy School of Medicine Cairo University

AIM: To identify possible maternal risk factors for hepatitis B virus (HBV) acquisition and assess the efficacy of immunoprophylaxis given to infants born to hepatitis B virus surface antigen (HBsAg) positive mothers.

关键词： Egypt Hepatitis B virus Hepatitis B virus surface antigen positive mothers Immunoprophylaxis Perinatal transmission

A Deep Learning for Alzheimer’s Stages Detection Using Brain Images

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Computers, Materials & Continua 2023年第1期74卷 1457-1473页

作者： Zahid Ullah mona Jamjoom Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

Alzheimer’s disease(AD)is a chronic and common form of dementia that mainly affects elderly *** disease is dangerous because it causes damage to brain cells and tissues before the symptoms appear,and there is nomedicinal or surgical treatment available yet *** loss of memory and functionality control in multiple degrees according to AD’s progression ***,early diagnosis of AD can hinder its *** imaging tools such as magnetic resonance imaging(MRI),computed tomography(CT)scans,positron emission tomography(PET),*** help in medical diagnosis of ***,computer-aided diagnosis(CAD)such as deep learning applied to brain images obtained with these tools,has been an established strategic methodology that is widely used for clinical assistance in prognosis of *** this study,we proposed an intelligent methodology for building a convolutional neural network(CNN)from scratch to detect AD stages from the brain MRI images dataset and to improve patient *** is worth mentioning that training a deep-learning model requires a large amount of data to produce accurate results and prevent the model from overfitting ***,for better understanding of classifiers and to overcome the model overfitting problem,we applied data augmentation to the minority classes in order to increase the number of MRI images in the *** experiments were conducted using Alzheimer’s MRI dataset consisting of brain MRI scanned *** performance of the proposed model determines detection of the four stages of *** results show high performance of the proposed model in that the model achieved a 99.38%accuracy rate,which is the highest so ***,the proposed model performance in terms of accuracy,precision,sensitivity,specificity,and f-measures is promising when compared to the very recent state-of-the-art domain-specific models existing in the literature.

关键词： Dementia MRI images CNN model detection data augmentation decision support system

Evaluation of the nutritional value of Artemia nauplii for European seabass(Dicentrarchus labrax L.)larvae

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Aquaculture and Fisheries 2024年第1期9卷 78-84页

作者： Alaa A.el-Dahhar Rashwan S.Rashwan Samy Y.el-Zaeem Shaimaa A.Shahin mona M.Mourad Mohammed F.el Basuini Animal and Fish Production Department Faculty of Agriculture-Saba BashaAlexandria UniversityAlexandria21526Egypt National Institute of Oceanography and Fisheries(NIOF) Cairo11562Egypt Department of Animal Production Faculty of AgricultureTanta UniversityTanta31527Egypt Faculty of Desert Agriculture King Salman International UniversitySouth Sinai46618Egypt

Adapted European seabass(Dicentrarchus labrax L.)larvae at 25 days post-hatching(dph)with a primary weight and length of 23 mg and 9.92 mm,start the weaning up to 46 dph using the weaning micro-diet(54%crude protein from fish meal,powder milk,and poultry egg)concurrently with Artemia enriched with fortification emulsions(0.6 g/L)of DHA selco®as a control group(DHAS)or Fish oil+20%Vitamin C(FOVC),or Fish oil+20%Vitamin E(FOVE),or Fish oil+10%Vit.C+10%Vit.E(FOCE),or Fish oil only(FO).At 46 dph,groups of larvae fed enriched Artemia with DHAS and FOVE exhibited the highest final body weight,weight gain,average daily gain,specific growth rate,feed intake,protein efficiency ratio,and survival%as well as the lowest feed conversion ***,larvae in FOVC displayed the lowest final body weight,total length,weight gain,average daily gain,specific growth rate,feed intake,protein efficiency ratio,and survival%as well as the highest feed conversion *** histological assessment exhibited no pathological alteration as well as an improvement in the structure with DHAS,FOVE,FOVC,and FOCE co-additives compared to *** peroxidase enzyme(GPx)recorded the highest rates(P<0.05)in groups fed Artemia supplemented with DHAS and FOVE followed by FOCE and *** the lowest record for GPx activity was noted in the FO *** conclusion,Using augmented Artemia nauplii with fish oil+vitamin E in single or in companion with vitamin C as cheap antioxidants support *** larval growth,survival,and antioxidant efficacy during the critical weaning period.

关键词： European seabass Gastrointestinal histology Antioxidants Vitamin C Vitamin E DHA