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| 1 | Pathological,immunohistochemical and microbiologicalal analysis of lacrimal sac biopsies in patients with chronic dacrocystitis显示文摘AIM:To analyze cases of obstruction of the nasolacrimal duct which creates a fertile environment for secondary bacterial Infection and can result in dacryocystitis,which is a constant threat to cornea and orbital soft tissue and a potential source of endophthalmitis following intraocular surgery.The majority of obstructions of the lacrimal excretory outflow system are acquired ones occurring in adulthood and involving the distal parts of the system.Acquired obstruction may be primary/idiopathic or secondary to a wide variety of infectious,inflammatory,traumatic,mechanical,toxic or neoplastic causes mimicking idiopathic inflammation.These cases are treated by dacryocystorhinostomy(DCR).METHODS:The present study was conducted to determine the histopathologic,immunohistochemical and current microbiologic characteristics of lacrimal sac specimens in patients undergoing external dacryocystorhinostomy.RESULTS:Non-specific lacrimal sac pathology was present in all 33 cases and 81.8%of the cases showed moderate chronic inflammation with a chronic inflammatory score(CIS)ranging between 4 and 6,whereas 12.12%showed severe inflammatory changes with a CIS of 7.Mild degree of inflammation was seen in6.06%with a CIS of 3.The total prevalence of grampositive,gram-negative,and culture-negative samples were 59.4%,37.5%,and 3%respectively.CONCLUSION:Non-specific chronic inflammation withfibrosis is indeed the most commonly reported histopathological finding in lacrimal sac wall biopsy specimens. | Rowayda Mahmoud Amin Faten Aly Hussein Hisham Farouk Idriss Nesrine Fathy Hanafy Dina Mohamed Abdallah | 2013 | International Journal of Ophthalmology(English edition)2013，6，6： | 7 |
| 2 | Clinical outcomes of transepithelial photorefractive keratectomy versus femtosecond laser assisted keratomileusis for correction of high myopia in South Egyptian population显示文摘AIM: To evaluate the safety and efficacy of transepithelial photorefractive keratectomy(t-PRK) with adjuvant mitomycin C(MMC) versus femtosecond laser assisted keratomileusis(Femto-LASIK) in correction of high myopia.METHODS: Prospective randomized comparative study including 156 eyes of 156 patients with high myopia and a spherical equivalent refraction(SER) <-6.00 D. They were divided randomly into two groups: Group A included 72 eyes treated with t-PRK with adjuvant MMC and Group B included 84 eyes treated with Femto-LASIK. Visual acuity, SER, corneal topography, pachymetry and keratometry were assessed for 12 mo postoperatively.RESULTS: The preoperative mean SER was-8.86±1.81 and-9.25±1.70 D in t-PRK MMC group and Femto-LASIK respectively(P=0.99) which improved to-0.65±0.43 D and-0.69±0.50 D at 12 mo follow up. Mean SER remained stable during the 12 mo of follow-up, with no statistically significant difference between the two groups(P=0.64). In t-PRK MMC group, only six eyes needed retreatment after six months of follow up. And two eyes showed haze(one reversible haze grade 2, while the other had dense irreversible haze grade 4).CONCLUSION: t-PRK MMC provides safe and satisfactory visual outcomes and acceptable risk as Femto-LASIK in patients with high myopia. | Amr Mounir Engy Mohamed Mostafa Hatem Ammar Osama Ali Mohammed Alahmady Hamad Alsmman Mahmoud Mohamed Farouk Mohamed Gamal Elghobaier | 2020 | International Journal of Ophthalmology(English edition)2020，13，1： | 4 |
| 3 | Arithmetic Optimization with Deep Learning Enabled Anomaly Detection in Smart City显示文摘In recent years,Smart City Infrastructures(SCI)have become familiar whereas intelligent models have been designed to improve the quality of living in smart cities.Simultaneously,anomaly detection in SCI has become a hot research topic and is widely explored to enhance the safety of pedestrians.The increasing popularity of video surveillance system and drastic increase in the amount of collected videos make the conventional physical investigation method to identify abnormal actions,a laborious process.In this background,Deep Learning(DL)models can be used in the detection of anomalies found through video surveillance systems.The current research paper develops an Internet of Things Assisted Deep Learning Enabled Anomaly Detection Technique for Smart City Infrastructures,named(IoTAD-SCI)technique.The aim of the proposed IoTAD-SCI technique is to mainly identify the existence of anomalies in smart city environment.Besides,IoTAD-SCI technique involves Deep Consensus Network(DCN)model design to detect the anomalies in input video frames.In addition,Arithmetic Optimization Algorithm(AOA)is executed to tune the hyperparameters of the DCN model.Moreover,ID3 classifier is also utilized to classify the identified objects in different classes.The experimental analysis was conducted for the proposed IoTADSCI technique upon benchmark UCSD anomaly detection dataset and the results were inspected under different measures.The simulation results infer the superiority of the proposed IoTAD-SCI technique under different metrics. | Mahmoud Ragab Maha Farouk S.Sabir | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 4 | Boundary Layer Development on a Concave Surface: Flow Visualization and Hot Wire Velocity Measurements显示文摘 | Farouk Hachem Mahmoud Khaled Mohamad Ramadan Charbel Habchi | 2014 | Journal of Energy and Power Engineering2014，8，7： | 0 |
| 5 | Enhanced Artificial Intelligence-based Cybersecurity Intrusion Detection for Higher Education Institutions显示文摘As higher education institutions(HEIs)go online,several benefits are attained,and also it is vulnerable to several kinds of attacks.To accomplish security,this paper presents artificial intelligence based cybersecurity intrusion detection models to accomplish security.The incorporation of the strategies into business is a tendency among several distinct industries,comprising education,have recognized as game changer.Consequently,the HEIs are highly related to the requirement and knowledge of the learner,making the education procedure highly effective.Thus,artificial intelligence(AI)and machine learning(ML)models have shown significant interest in HEIs.This study designs a novel Artificial Intelligence based Cybersecurity Intrusion Detection Model for Higher Education Institutions named AICIDHEI technique.The goal of the AICID-HEI technique is to determine the occurrence of distinct kinds of intrusions in higher education institutes.The AICID-HEI technique encompassesmin-max normalization approach to preprocess the data.Besides,the AICID-HEI technique involves the design of improved differential evolution algorithm based feature selection(IDEA-FS)technique is applied to choose the feature subsets.Moreover,the bidirectional long short-term memory(BiLSTM)model is utilized for the detection and classification of intrusions in the network.Furthermore,the Adam optimizer is applied for hyperparameter tuning to properly adjust the hyperparameters in higher educational institutions.In order to validate the experimental results of the proposed AICID-HEI technique,the simulation results of the AICIDHEI technique take place by the use of benchmark dataset.The experimental results reported the betterment of the AICID-HEI technique over the other methods interms of different measures. | Abdullah S.AL-Malaise AL-Ghamdi Mahmoud Ragab Maha Farouk S.Sabir | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 6 | Secret Key Optimization for Secure Speech Communications显示文摘This paper answers three essential questions for audio speech cryptosystems in time and discrete transform domains.The first question is,what are the best values of sub-keys that must be used to get the best quality and security for the audio cryptosystem in time and discrete transform domains.The second question is the relation between the number of sub-keys,the number of secret keys used,and the audio speech signal block’s size.Finally,how many possible secret keys can be used to get the best quality and security results for the audio speech cryptosystem in time and discrete transform domains.An audio cryptosystem discussed before in recent research is applied to answer the three previous inquiries.Accurate simulation results and analysis answer all three questions;first,there is no specific,well-defined format or rule for sub-key values that must be used to get a better cryptosystem.For the second question,yes,there is a direct relationship between the number of applicable keys,number of available sub-keys,and block size of speech audio signal and formulated into a first-order equation.For the third question,each discrete transform domain has a specific acceptable range of sub-keys that imply a particular number of keys that can be used to get a better cryptosystem. | Osama S.Faragallah Mahmoud Farouk Hala S.El-Sayed | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 7 | Optimized Artificial Neural Network Techniques to Improve Cybersecurity of Higher Education Institution显示文摘Education acts as an important part of economic growth and improvement in human welfare.The educational sectors have transformed a lot in recent days,and Information and Communication Technology(ICT)is an effective part of the education field.Almost every action in university and college,right from the process fromcounselling to admissions and fee deposits has been automated.Attendance records,quiz,evaluation,mark,and grade submissions involved the utilization of the ICT.Therefore,security is essential to accomplish cybersecurity in higher security institutions(HEIs).In this view,this study develops an Automated Outlier Detection for CyberSecurity in Higher Education Institutions(AOD-CSHEI)technique.The AOD-CSHEI technique intends to determine the presence of intrusions or attacks in the HEIs.The AOD-CSHEI technique initially performs data pre-processing in two stages namely data conversion and class labelling.In addition,the Adaptive Synthetic(ADASYN)technique is exploited for the removal of outliers in the data.Besides,the sparrow search algorithm(SSA)with deep neural network(DNN)model is used for the classification of data into the existence or absence of intrusions in the HEIs network.Finally,the SSA is utilized to effectually adjust the hyper parameters of the DNN approach.In order to showcase the enhanced performance of the AOD-CSHEI technique,a set of simulations take place on three benchmark datasets and the results reported the enhanced efficiency of the AOD-CSHEI technique over its compared methods with higher accuracy of 0.9997. | Abdullah Saad AL-Malaise AL-Ghamdi Mahmoud Ragab Maha Farouk S.Sabir Ahmed Elhassanein Ashraf A.Gouda | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 8 | Mathematical Modelling of Quantum Kernel Method for Biomedical Data Analysis显示文摘This study presents a novelmethod to detect themedical application based on Quantum Computing(QC)and a few Machine Learning(ML)systems.QC has a primary advantage i.e.,it uses the impact of quantum parallelism to provide the consequences of prime factorization issue in a matter of seconds.So,this model is suggested for medical application only by recent researchers.A novel strategy i.e.,Quantum KernelMethod(QKM)is proposed in this paper for data prediction.In this QKM process,Linear Tunicate Swarm Algorithm(LTSA),the optimization technique is used to calculate the loss function initially and is aimed at medical data.The output of optimization is either 0 or 1 i.e.,odd or even in QC.From this output value,the data is identified according to the class.Meanwhile,the method also reduces time,saves cost and improves the efficiency by feature selection process i.e.,Filter method.After the features are extracted,QKM is deployed as a classification model,while the loss function is minimized by LTSA.The motivation of the minimal objective is to remain faster.However,some computations can be performed more efficiently by the proposed model.In testing,the test data was evaluated by minimal loss function.The outcomes were assessed in terms of accuracy,computational time,and so on.For this,databases like Lymphography,Dermatology,and Arrhythmia were used. | Mahmoud Ragab Ehab Bahauden Ashary Maha Farouk S.Sabir Adel A.Bahaddad Romany F.Mansour | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 9 | Optimized Deep Learning Model for Colorectal Cancer Detection and Classification Model显示文摘The recent developments in biological and information technologies have resulted in the generation of massive quantities of data it speeds up the process of knowledge discovery from biological systems.Due to the advancements of medical imaging in healthcare decision making,significant attention has been paid by the computer vision and deep learning(DL)models.At the same time,the detection and classification of colorectal cancer(CC)become essential to reduce the severity of the disease at an earlier stage.The existing methods are commonly based on the combination of textual features to examine the classifier results or machine learning(ML)to recognize the existence of diseases.In this aspect,this study focuses on the design of intelligent DL based CC detection and classification(IDL-CCDC)model for bioinformatics applications.The proposed IDL-CCDC technique aims to detect and classify different classes of CC.In addition,the IDLCCDC technique involves fuzzy filtering technique for noise removal process.Moreover,water wave optimization(WWO)based EfficientNet model is employed for feature extraction process.Furthermore,chaotic glowworm swarm optimization(CGSO)based variational auto encoder(VAE)is applied for the classification of CC into benign or malignant.The design of WWO and CGSO algorithms helps to increase the overall classification accuracy.The performance validation of the IDL-CCDC technique takes place using benchmark Warwick-QU dataset and the results portrayed the supremacy of the IDL-CCDC technique over the recent approaches with the maximum accuracy of 0.969. | Mahmoud Ragab Khalid Eljaaly Maha Farouk SSabir Ehab Bahaudien Ashary S.M.Abo-Dahab E.M.Khalil | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 10 | Stabilizing soft clay using geo-foam beads and cement bypass dust显示文摘Soft clays are usually classified according to their undrained shear strength,Su.Values of Su less than 12.5 kPa are associated with very soft clays.In addition to their low shear strength,soft clays exhibit high compressibility upon loading.Therefore,soft clays are considered to be problematic for foundation purposes.Geo-foam is an industrial material that is characterized by a very low unit weight(20 kg/m^(3) on average)compared to that of the soil.The density of expanded polystyrene(EPS)ranges from 1.0%to 2.5%,which results in a compressive strength ranging between 70 kPa and 140 kPa and an elastic modulus ranging between 5 MPa and 12 MPa.EPS geofoam blocks are used in a wide range of geotechnical applications as a lightweight fill material.The main objective of this study was to investigate the geotechnical properties of soft clays containing geo-foam beads and cement bypass dust(CBPD).We also investigated the viability of preparing low-strength excavatable fill mixtures.To study the effect of(geofoam beads+CBPD)/soft clay on the fluid-state and hardened properties of new fill,we conducted experiments on two groups of mixtures(A&B).Each mixture contained different ratios of geo-foam beads and CBPD so that we could study the effect of the additive on the flow consistency,dry unit weight,unconfined compressive strength,and shear strength of the mixture.The test results showed that the unconfined compressive strength of the studied mixtures without geo-foam ranged from 271.8 kPa to 1405.14 kPa at CBPD concentrations between 3.88%and 18.63%.The cohesion values for the group containing geo-foam ranged from 50 kPa to 20 kPa at geo-foam percentages between 0.32%and 1.35%.The friction angle of the group containing geo-foam ranged from 10 kPa to 22 kPa at CBPD percentages between 0.32%and 1.35%.Cement bypass dust can be successfully used to process self-compacting,self-leveling,excavatable and flowable fill material. | Essam Farouk Badrawi Mahmoud Samir El-kady | 2020 | Underground Space2020，5，4： | 0 |
| 11 | Does local vaginal estrogen after tension-free transobturator vaginal tape reduce overactive bladder symptoms in postmenopausal women? A prospective randomized, controlled study显示文摘Objective:We aimed to evaluate the efficacy of topical estrogen after transvaginal tension-free vaginal tape-obturator(TVT-O)in the treatment of de novo overactive bladder symptoms that appear after surgery.Methods:This is a prospective randomized controlled study performed in the Urology and Gynecology Departments,Kasr Al Ainy Hospital,Cairo University,Cairo,Egypt.Two hundred and ten postmenopausal females presenting during the period between January 2017 and November 2020 with stress urinary incontinence were included in the study.Patients were divided into two groups,105 patients in Group A(treatment group)and 105 patients in Group B(control group).Patients in Group A underwent transvaginal TVT-O followed by local vaginal estrogen treatment for 6 months,while patients in Group B underwent transvaginal TVT-O only.The study included any postmenopausal female with urodynamic stress urinary incontinence.All patients had to fulfill a 3-day bladder diary,overactive bladder symptoms score,urine analysis,urodynamic study,and post-voiding residual urine measurement by abdominal ultrasound preoperatively and at 3-month and 6-month follow-ups.Results:At 6-month follow-up,daytime frequency was reduced to 8%in Group A(increased to 21%in Group B)with a statistically significant difference between both groups(p=0.009).At 6-month follow-up,nocturia was 8%in Group A(11%in Group B)with no statistically significant difference between both groups(p=0.469).There was a statistically significant difference between both groups as regards to urinary urgency at 6-month follow-up(p=0.024).There was a statistically significant difference in postoperative wound healing events as regards to cure,hyperemia,gapping,and wound infection 1 week after intervention between both groups(p=0.008).No local or systemic side-effects were reported from local estrogen use.Conclusion:Local vaginal estrogen treatment given to postmenopausal patients after midurethral sling procedures can reduce the symptoms of daytime frequency and urinary urgency.Long-term follow-up is needed. | Samer Mahmoud Morsy Dalia Farouk Sara Hassan Ahmed Yehia Abdelaziz Hussein Aly Hussein | 2024 | Asian Journal of Urology2024，11，1： | 0 |
| 12 | Colorectal cancer in Arab world:A systematic review显示文摘BACKGROUND The incidence of colorectal cancer(CRC)is increasing among young individuals in the Arab world as well as in other regions of the world.AIM To explore the incidence and prevalence of CRC in the Arab world.METHODS The PubMed,Scopus,Web of Science,EBSCO and Wiley databases were searched to retrieve relevant articles irrespective of the language or the publication year.The search terms were('colon OR rectum OR sigmoid OR rectal OR colonic OR colorectal')AND('cancer OR malignancy OR malignant OR neoplasm')AND('Jordan'OR'United Arab Emirates'OR'Bahrain'OR'Tunisia'OR'Algeria'OR'Djibouti'OR'Saudi Arabia'OR'Sudan'OR'Syria'OR'Somalia'OR'Iraq'OR'Oman'OR'Palestine'OR'Qatar'OR'Comoros'OR'Kuwait'OR'Lebanon'OR'Libya'OR'Egypt'OR'Morocco'OR'Mauritania'OR'Yemen').Reviews,metaanalyses,and articles containing nonoriginal data were excluded.Retrieved articles were screened,and relevant data were extracted.Descriptive statistics were used for data analysis.RESULTS Nine studies were included.Five of the studies provided information regarding the prevalence of CRC.The prevalence of CRC was 0.72% in Saudi Arabia and 0.78% in the United Arab Emirate,while in Egypt,it ranged from 0.4% to 14%.Four studies showed information regarding the incidence.The annual incidence rate of CRC in Qatar was 7.5/100000/year.In Egypt,the crude incidence rate(CIR)in males was 3.1 for colon cancer and 1 for rectal cancer,while in females,it was 2.3 for colon cancer and 0.8 for rectal cancer.The age-standardized rate for CRC incidence in 2003 was 36.90 for males,26.50 for females,and 30.49 for both sexes in Saudi Arabia.In 2016,the CIRs in Saudi Arabia were 3.6 and 2.1 in females for colon cancer and rectal cancer,respectively,while in males,it was 3.3 and 2.8 for colon cancer and rectal cancer,respectively.One study in Egypt revealed that 25% of CRC cases occurred among individuals younger than 40 years old.CONCLUSION There is a considerable prevalence of CRC in some Arab countries.More studies are needed to explore the incidence and prevalence of CRC in the rest of the Arab world. | Nahed A Makhlouf Muhammad Abdel-Gawad Aya M Mahros Sameh A Lashen Mariam Zaghloul Ahmed Eliwa Eman E Elshemy Zainab Ali-Eldin Doaa Abdeltawab Fathiya El-Raey Dalia Omran Marwa Khalaf Nancy Fanous Ahmed Shawkat Abdelmohsen Ahmed Abu-Elfatth Mohamed Abdelghani Mahmoud Farouk Mohamed Abdelaziz Mohamed Alboraie | 2021 | World Journal of Gastrointestinal Oncology2021，13，11： | 0 |
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