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Pathological,immunohistochemical and microbiologicalal analysis of lacrimal sac biopsies in patients with chronic dacrocystitis

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International Journal of Ophthalmology(English edition) 2013年第6期6卷 817-826页

作者： Rowayda mahmoud Amin Faten Aly Hussein Hisham Farouk Idriss Nesrine Fathy Hanafy Dina mohamed Abdallah Department of Ophthalmology Alexandria Faculty of Medicine Department of Microbiology Alexandria Faculty of Medicine Department of Pathology Alexandria Faculty of Medicine

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 *** majority of obstructions of the lacrimal excretory outflow system are acquired ones occurring in adulthood and involving the distal parts of the *** obstruction may be primary/idiopathic or secondary to a wide variety of infectious,inflammatory,traumatic,mechanical,toxic or neoplastic causes mimicking idiopathic *** 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 ***: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 *** degree of inflammation was seen in6.06%with a CIS of *** total prevalence of grampositive,gram-negative,and culture-negative samples were 59.4%,37.5%,and 3%***:Non-specific chronic inflammation withfibrosis is indeed the most commonly reported histopathological finding in lacrimal sac wall biopsy specimens.

关键词： dacrocystitis lacrimal sac biopsy chronic inflammation lacrimal duct obstruction

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Trauma to the solid abdominal organs:The missed dark box of colonoscopy

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World Journal of Gastroenterology 2024年第7期30卷 624-630页

作者： mohamed H Emara Usama Mazid Yasmine A Elshaer mahmoud A Elkerdawy Dilaver Farooq Malik Aya M Mahros Department of Hepatology Gastroenterologyand Infectious DiseasesKafrelsheikh UniversityKafr-Elshikh 33516Egypt Department of Medicine Alyousif HospitalAlkhobar 31952Saudi Arabia

Colonoscopy is an integral part of the lower bowel care and is generally considered a potentially safe diagnostic and therapeutic procedure performed as a daycare outpatient *** is associated with different complications that are not limited to adverse events related to the bowel preparation solutions used,the sedatives used,but to the procedure related as well including bleeding and *** to the extra-luminal abdominal organs during colonoscopy are uncommon,however,serious complications related to the procedure have been reported infrequently in the *** threatening injuries to the spleen,liver,pancreas,mesentery,and urinary bladder have been reported as early as in *** injuries should not be overlooked by clinicians and *** increasing abdominal pain,abdominal distension,and hemodynamic instability in absence of rectal bleeding should raise the possibility of severe organ *** and hepatic injury following colonoscopy are usually serious and may be life *** conservative management may help,yet they usually need interventional radiology or surgical *** pancreatitis following colonoscopy is usually mild and is mostly managed *** mechanism of abdominal organ injuries during colonoscopy is not fully understood,however many risk factors have been identified,which can be classified as-organ related,procedure related,and local abdominal *** colonoscopy and prior intra-abdominal adhesions are probably the most relevant risk factors for these *** lateral position,avoidance of looping and excessive force during the procedure would probably reduce the risk of such injuries.

关键词： Colonoscopy Pancreatitis Trauma Complications Adhesions

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Privacy Preserving Blockchain Technique to Achieve Secure and Reliable Sharing of IoT Data

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Computers, Materials & Continua 2020年第10期65卷 87-107页

作者： Bao Le Nguyen E.Laxmi Lydia mohamed Elhoseny Irina V.Pustokhina Denis A.Pustokhin mahmoud mohamed Selim Gia Nhu Nguyen K.Shankar Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Faculty of Computers and Information Mansoura UniversityMansoura35516Egypt Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow115093Russia Department of Logistics State University of ManagementMoscow109542Russia Department of Mathematics College of Science&Humanities in AlaflajPrince Sattam bin Abdulaziz UniversityAlaflaj16278Saudi Arabia Graduate School Duy Tan UniversityDa Nang550000Vietnam Department of Computer Applications Alagappa UniversityKaraikudi630003India

In present digital era,an exponential increase in Internet of Things(IoT)devices poses several design issues for business concerning security and *** studies indicate that the blockchain technology is found to be a significant solution to resolve the challenges of data security exist in *** this view,this paper presents a new privacy-preserving Secure Ant Colony optimization with Multi Kernel Support Vector Machine(ACOMKSVM)with Elliptical Curve cryptosystem(ECC)for secure and reliable IoT data *** program uses blockchain to ensure protection and integrity of some data while it has the technology to create secure ACOMKSVM training algorithms in partial views of IoT data,collected from various data ***,ECC is used to create effective and accurate privacy that protects ACOMKSVM secure learning *** this study,the authors deployed blockchain technique to create a secure and reliable data exchange platform across multiple data providers,where IoT data is encrypted and recorded in a distributed *** security analysis showed that the specific data ensures confidentiality of critical data from each data provider and protects the parameters of the ACOMKSVM model for data *** examine the performance of the proposed method,it is tested against two benchmark dataset such as Breast Cancer Wisconsin Data Set(BCWD)and Heart Disease Data Set(HDD)from UCI AI *** simulation outcome indicated that the ACOMKSVM model has outperformed all the compared methods under several aspects.

关键词： Blockchain optimization elliptical curve cryptosystem security ant colony optimization multi kernel support vector machine

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Weight Prediction Using the Hybrid Stacked-LSTM Food Selection Model

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Computer Systems Science & Engineering 2023年第7期46卷 765-781页

作者： Ahmed M.Elshewey mahmoud Y.Shams Zahraa Tarek mohamed Megahed El-Sayed M.El-kenawy mohamed A.El-dosuky Faculty of Computers and Information Computer Science DepartmentSuez UniversitySuezEgypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt Faculty of Computers and Information Computer Science DepartmentMansoura University35561Egypt Faculty of Physical Education Track and Field Competitions DepartmentArish UniversityEgypt Delta Higher Institute of Engineering and Technology Mansoura35111Egypt Department of Computer Science Arab East CollegesRiyadh13544Saudi Arabia

Food choice motives(i.e.,mood,health,natural content,convenience,sensory appeal,price,familiarities,ethical concerns,and weight control)have an important role in transforming the current food system to ensure the healthiness of people and the sustainability of the *** from several domains have presented several models addressing issues influencing food choice over the ***,a multidisciplinary approach is required to better understand how various aspects interact with one another during the decision-making *** this paper,four Deep Learning(DL)models and one Machine Learning(ML)model are utilized to predict the weight in pounds based on food *** Long Short-Term Memory(LSTM)model,stacked-LSTM model,Conventional Neural Network(CNN)model,and CNN-LSTM model are the used deep learning *** the applied ML model is the K-Nearest Neighbor(KNN)*** efficiency of the proposed model was determined based on the error rate obtained from the experimental *** findings indicated that Mean Absolute Error(MAE)is 0.0087,the Mean Square Error(MSE)is 0.00011,the Median Absolute Error(MedAE)is 0.006,the Root Mean Square Error(RMSE)is 0.011,and the Mean Absolute Percentage Error(MAPE)is ***,the results demonstrated that the stacked LSTM achieved improved results compared with the LSTM,CNN,CNN-LSTM,and KNN regressor.

关键词： Weight prediction machine learning deep learning LSTM CNN KNN

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Modified Dragonfly Optimization with Machine Learning Based Arabic Text Recognition

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Computers, Materials & Continua 2023年第8期76卷 1537-1554页

作者： Badriyya BAl-onazi Najm Alotaibi Jaber SAlzahrani Hussain Alshahrani mohamed Ahmed Elfaki Radwa Marzouk mahmoud Othman Abdelwahed Motwakel Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Prince Saud AlFaisal Institute for Diplomatic Studies RiyadhSaudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMakkahSaudi Arabia Department of Computer Science College of Computing and Information TechnologyShaqra UniversityShaqraSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Text classification or categorization is the procedure of automatically tagging a textual document with most related labels or *** the number of labels is limited to one,the task becomes single-label text *** Arabic texts include unstructured information also like English texts,and that is understandable for machine learning(ML)techniques,the text is changed and demonstrated by numerical *** recent times,the dominant method for natural language processing(NLP)tasks is recurrent neural network(RNN),in general,long short termmemory(LSTM)and convolutional neural network(CNN).Deep learning(DL)models are currently presented for deriving a massive amount of text deep features to an optimum performance from distinct domains such as text detection,medical image analysis,and so *** paper introduces aModified Dragonfly Optimization with Extreme Learning Machine for Text Representation and Recognition(MDFO-EMTRR)model *** presentedMDFO-EMTRR technique mainly concentrates on the recognition and classification of the Arabic *** achieve this,theMDFO-EMTRRtechnique encompasses data pre-processing to transform the input data into compatible ***,the ELM model is utilized for the representation and recognition of the Arabic *** last,the MDFO algorithm was exploited for optimal tuning of the parameters related to the ELM method and thereby accomplish enhanced classifier *** experimental result analysis of the MDFO-EMTRR system was performed on benchmark datasets and attained maximum accuracy of 99.74%.

关键词： Arabic corpus dragonfly algorithm machine learning text mining extreme learning machine

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Natural Language Processing with Optimal Deep Learning-Enabled Intelligent Image Captioning System

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Computers, Materials & Continua 2023年第2期74卷 4435-4451页

作者： Radwa Marzouk Eatedal Alabdulkreem mohamed KNour Mesfer Al Duhayyim mahmoud Othman Abu Sarwar Zamani Ishfaq Yaseen Abdelwahed Motwakel Department of Information Systems 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 UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The recent developments in Multimedia Internet of Things(MIoT)devices,empowered with Natural Language Processing(NLP)model,seem to be a promising future of smart *** plays an important role in industrial models such as speech understanding,emotion detection,home automation,and so *** an image needs to be captioned,then the objects in that image,its actions and connections,and any silent feature that remains under-projected or missing from the images should be *** aim of the image captioning process is to generate a caption for *** next step,the image should be provided with one of the most significant and detailed descriptions that is syntactically as well as semantically *** this scenario,computer vision model is used to identify the objects and NLP approaches are followed to describe the *** current study develops aNatural Language Processing with Optimal Deep Learning Enabled Intelligent Image Captioning System(NLPODL-IICS).The aim of the presented NLPODL-IICS model is to produce a proper description for input *** attain this,the proposed NLPODL-IICS follows two stages such as encoding and decoding ***,at the encoding side,the proposed NLPODL-IICS model makes use of Hunger Games Search(HGS)with Neural Search Architecture Network(NASNet)*** model represents the input data appropriately by inserting it into a predefined length ***,during decoding phase,Chimp Optimization Algorithm(COA)with deeper Long Short Term Memory(LSTM)approach is followed to concatenate the description sentences 4436 CMC,2023,vol.74,no.2 produced by the *** application of HGS and COA algorithms helps in accomplishing proper parameter tuning for NASNet and LSTM models *** proposed NLPODL-IICS model was experimentally validated with the help of two benchmark *** comparative analysis confirmed the superior performance of NLPODL-IICS model over other models.

关键词： Natural language processing information retrieval image captioning deep learning metaheuristics

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Traffic Queuing Management in the Internet of Things: An Optimized RED Algorithm Based Approach

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Computers, Materials & Continua 2021年第1期66卷 359-372页

作者： Abdul Waheed Naila Habib Khan Mahdi Zareei Shahab Ul Islam Latif Jan Arif Iqbal Umar Ehab mahmoud mohamed Department of Information Technology Hazara UniversityMansehra21120Pakistan School of Electrical and Computer Engineering Seoul National UniversitySeoul08826Korea Department of Computer Science Institute of Management SciencesPeshawar25000Pakistan Tecnologico de Monterrey School of Engineering and SciencesZapopan45201Mexico Department of Computer Science IQRA National UniversityPeshawar25124Pakistan Department of Electrical Engineering University of Engineering TechnologyPeshawar25120Pakistan Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt

Congestion control is one of the main obstacles in cyberspace *** in internet traffic may cause several problems;such as high packet hold-up,high packet dropping,and low packet *** the course of data transmission for various applications in the Internet of things,such problems are usually generated relative to the *** tackle such problems,this paper presents an analytical model using an optimized Random Early Detection(RED)algorithm-based approach for internet traffic *** validity of the proposed model is checked through extensive simulation-based *** analysis is observed for different functions on internet *** performance metrics are taken into consideration,namely,the possibility of packet loss,throughput,mean queue length and mean queue *** sets of experiments are observed with varying simulation *** experiments are thoroughly analyzed and the best packet dropping operation with minimum packet loss is identified using the proposed model.

关键词： Random early detection(RED) active queue management(AQM) quality of service(QOS) throughput

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Tegumental histological effects of Mirazid~ and myrrh volatile oil on adult Fasciola gigantica

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Asian Pacific Journal of Tropical Biomedicine 2013年第6期3卷 501-504页

作者： Ahmad mohamed Massoud Hatem Abdel Mawgoud Shalaby Rabab mohamed El Khateeb Mona Said mahmoud mohamed Abdel Aziz Kutkat Tropical Medicine Department Faculty of MedicineAl-Azhar University Parasitology and Animal Diseases Department National Research Center Poultry Diseases Department National Research Center

Objective:To evaluated the histological changes within the tegument of adult Fasciola gigantica(***)that led to the gross changes that were visible ***:The effects of oleoresin extract of myrrh(Mirazid^(?)),myrrh volatile oil and triclabendazole sulphoxide(reference drug)on the tegumental structure of adult *** following treatment in vitro had been determined by light ***:The internal changes in the tegument observed in this study were compatible with surface changes seen in the previous scanning electron microscopy study,using the same *** swelling of tegumental syncytium was a particular feature of their action,but its level was much greater with myrrh volatile oil,in which vacuolization of the tegument and loss of spines were ***:The present study demonstrated the fasciocidal properties of Mirazid^(?)oleoresin extract,and it might be possible to reinforce its fasciocidal activity by increasing its content of myrrh volatile oil.

关键词： Fasciola gigantica Mirazid Myrrh volatile oil Histological effect

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Gene expression of 49 kDa apyrase,cytoskeletal proteins,ATPase,ADPase and amino acid contents of Pisum sativum(L.)cells germinated in Euryops arabicus(*** Jaub.&Spach)water extract

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BIOCELL 2019年第2期43卷 81-87页

作者： mahmoud MOUSTAFA SAAD ALAMRI HOIDA ZAKI NAGLAA LOUTFY TAREK TAHA ALI SHATI mohamed ALKAHTANI SAJDA SIDDIQI Department of Biology College of ScienceKing Khalid University9004AbhaKingdom of Saudi Arabia(KSA) Department of Botany Faculty of ScienceSouth Valley UniversityQenaEgypt Environmental Biotechnology Department Genetic Engineering and Biotechnology Research Institute(GEBRI)City of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab City21934AlexandriaEgypt

The present research reports of quick and marked changes induced by plant extract of Euryops arabicus in the gene expression of 49-kDa apyrases,cytoskeletal proteins,ATPases,ADPase and amount of amino acid of pea(Pisum sativum ***).Pellets of cytoskeletals proteins(27000 xg)were probed with anti-apyrase antibody,biotinylated anti-rat,actin and alpha and beta-tubulin for Western *** and ADPase activities were determined based on the hydrolytic efficacy of adenine triphosphate and adenine *** 72 hours,the abundance of apyrases,cytoskeletal proteins and amount of amino acid in pellets of 27000 xg of germinated pea seeds in *** extracts were sharply increased than those sown in distilled *** the samples exhibited that the stems had more amount from apyrases,cytoskeletal proteins,amino acids and ATPase and ADPase activities than primary leaves and primary roots that were germinated either on *** water extract or in distilled *** on the enzyme’s capability to hydrolyse nucleotide triphosphate and nucleotide diphosphate as well as the direct association between expression of 49-kDa apyrase and cytoskeletal proteins,*** water extract had an important effect on plant germinations.

关键词： Cytoskeletal proteins ATPase ADPase Pisum sativum Euryops arabicus

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Isolation, purification and structure elucidation of three newbioactive secondary metabolites from Streptomyces lividans AM

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BIOCELL 2021年第5期45卷 1263-1271页

作者： MOHAMMAD EL-METWALLY MAMDOUH ABDEL-MOGIB MANAL ELFEDAWY GAAD SOHSAH AHMED REZK mahmoud MOUSTAFA mohamed SHAABAN Botany and Microbiology Department Faculty of ScienceDamanhour UniversityDamanhour22511Egypt Chemistry Department Faculty of ScienceMansoura UniversityEl-Mansoura35516Egypt Bioprocess Development Department Genetic Engineering and Biotechnology Research InstituteCity of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab CityAlexandria21934Egypt Biology Department College of ScienceKing Khalid UniversityAbha9004Saudi Arabia Chemistry of Natural Compounds Department Division of Pharmaceutical IndustriesNational Research CentreDokki-Cairo12622Egypt Organic and Bioorganic Chemistry Department of ChemistryBielefeld UniversityBielefeld33615Germany

Microorganisms are a huge mine of bioactive metabolites,and actinomycetes are one of the very active groups in this *** this article,we are concerned about the full taxonomical characterization of Streptomyces lividans AM,isolated from Egyptian *** isolate produced three new bioactive metabolites,namely:1-Nona-decanoyl,4-oleyl disuccinate(1),filoboletic acid;(9Z,11E)-8,13-dihydroxy octadeca-9,11-dienoic acid(2),and sitosteryl-3β-D-glucoside(3).Extensive 1D and 2D NMR and HR-mass spectrometry were used to elucidate the structures of the three ***,ten known compounds were also *** antimicrobial activity of the producing organism and newly reported compounds(1–3)was investigated against a selected group of pathogenic microorganisms.A full taxonomical characterization of the strain was described as well.

关键词： Bioactive metabolites Streptomyces sp. Taxonomy Biological activity

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