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Proposed Framework for Detection of Breast Tumors

Computers, Materials & Continua 2023年第2期74卷 2927-2944页

作者： Mostafa elbaz Haitham elwahsh ibrahim mahmoud el-henawy Department of Computer Science Faculty of Computers and InformaticsKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt

Computer vision is one of the significant trends in computer *** plays as a vital role in many applications,especially in the medical *** detection and segmentation of different tumors is a big challenge in the medical *** proposed framework uses ultrasound images from Kaggle,applying five diverse models to denoise the images,using the best possible noise-free image as input to the U-Net model for segmentation of the tumor,and then using the Convolution Neural Network(CNN)model to classify whether the tumor is benign,malignant,or *** main challenge faced by the framework in the segmentation is the speckle ***’s is a multiplicative and negative issue in breast ultrasound imaging,because of this noise,the image resolution and contrast become reduced,which affects the diagnostic value of this imaging *** result,speckle noise reduction is very vital for the segmentation *** framework uses five models such as Generative Adversarial Denoising Network(DGAN-Net),Denoising U-Shaped Net(D-U-NET),Batch Renormalization U-Net(Br-UNET),Generative Adversarial Network(GAN),and Nonlocal Neutrosophic ofWiener Filtering(NLNWF)for reducing the speckle noise from the breast ultrasound images then choose the best image according to peak signal to noise ratio(PSNR)for each level of *** five used methods have been compared with classical filters such as Bilateral,Frost,Kuan,and Lee and they proved their efficiency according to PSNR in different levels of *** five diverse models are achieved PSNR results for speckle noise at level(0.1,0.25,0.5,0.75),(33.354,29.415,27.218,24.115),(31.424,28.353,27.246,24.244),(32.243,28.42,27.744,24.893),(31.234,28.212,26.983,23.234)and(33.013,29.491,28.556,25.011)forDGAN,Br-U-NET,D-U-NET,GANand NLNWF *** to the value of PSNR and level of speckle noise,the best image passed for segmentation using U-Net and classification usingCNNto detect tumor *** experiments proved

关键词： Breast tumor speckle noise GAN model U-Net model neutrosophic

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Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods

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Computers, Materials & Continua 2022年第2期70卷 3473-3489页

作者： Mohamed Ali Mohamed ibrahim mahmoud el-henawy Ahmad Salah Faculty of Computers and Informatics Zagazig UniversityZagazigEgypt

Price prediction of goods is a vital point of research due to how common e-commerce platforms *** are several efforts conducted to forecast the price of items using classicmachine learning algorithms and *** models can predict prices of various financial instruments,e.g.,gold,oil,cryptocurrencies,stocks,and second-hand *** these efforts,the literature has no model for predicting the prices of seasonal goods(e.g.,Christmas gifts).In this context,we framed the task of seasonal goods price prediction as a regression ***,we utilized a real online trailer dataset of Christmas gifts and then we proposed several machine learningbased models and one statistical-based model to predict the prices of these seasonal ***,we utilized a real-life dataset of Christmas gifts for the prediction ***,we proposed support vector regressor(SVR),linear regression,random forest,and ridgemodels as machine learningmodels for price ***,we proposed an autoregressive-integrated-movingaverage(ARIMA)model for the same purpose as a statistical-based ***,we evaluated the performance of the proposed models;the comparison shows that the best performing model was the random forest model,followed by the ARIMA model.

关键词： ARIMA machine learning price prediction random forest ridge support vector regressor

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Novel Framework of Segmentation 3D MRI of Brain Tumors

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Computers, Materials & Continua 2023年第2期74卷 3489-3502页

作者： ibrahim mahmoud el-henawy Mostafa elbaz Zainab H.Ali Noha Sakr Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt Department of Computer Science Faculty of Computers and InformaticsKafrelsheikh UniversityKafrelsheikhEgypt Department of Embedded Network Sys.and Tec. Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Medical image segmentation is a crucial process for computer-aided diagnosis and *** image segmentation refers to portioning the images into small,disjointed parts for simplifying the processes of analysis and *** and speckle noise are different types of noise in magnetic resonance imaging(MRI)that affect the accuracy of the segmentation process ***,image enhancement has a significant role in MRI *** paper proposes a novel framework that uses 3D MRI images from Kaggle and applies different diverse models to remove Rician and speckle noise using the best possible noise-free *** proposed techniques consider the values of Peak Signal to Noise Ratio(PSNR)and the level of noise as inputs to the attention-U-Net model for segmentation of the *** framework has been divided into three stages:removing speckle and Rician noise,the segmentation stage,and the feature extraction *** framework presents solutions for each problem at a different stage of the *** the first stage,the framework uses Vibrational Mode Decomposition(VMD)along with Block-matching and 3D filtering(Bm3D)algorithms to remove the ***,the most significant Rician noise-free images are passed to the three different methods:Deep Residual Network(DeRNet),Dilated Convolution Auto-encoder Denoising Network(Di-Conv-AE-Net),andDenoising Generative Adversarial Network(DGAN-Net)for removing the speckle *** Bm3D have achieved PSNR values for levels of noise(0,0.25,0.5,0.75)for reducing the Rician noise by(35.243,32.135,28.214,24.124)and(36.11,31.212,26.215,24.123)*** framework also achieved PSNR values for removing the speckle noise process for each level as follows:(34.146,30.313,28.125,24.001),(33.112,29.103,27.110,24.194),and(32.113,28.017,26.193,23.121)forDeRNet,Di-Conv-AE-Net,and DGAN-Net,*** experiments that have been conducted have proved the efficiency of the proposed framework a

关键词： MRI Rician noise speckle noise segmentation deep learning

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Perception beyond sight:Investigating the cognitive maps of congenitally blind individuals in urban environments

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Frontiers of Architectural Research 2024年第4期13卷 809-821页

作者： Anwar ibrahim Hikmat HAli Zainab mahmoud College of Architecture and Design Jordan University of Science and TechnologyIrbidJordan College of Engineering and Architecture Al Yamamah UniversityRiyadhKSA

This study explores the challenges faced by congenitally blind individuals in navigating urban ***,this research investigates the factors that contribute to the construction of city mental mapping for individuals who are born ***-one congenitally blind individuals from the University of Jordan were asked to define and describe specific elements of the city based on their personal experiences and ***,participants were guided through two urban paths:familiar and *** participants were asked to complete a survey regarding their experiences during the *** collected data was analyzed by using thematic *** results revealed that congenitally blind individuals construct their mental image of the city by using their three senses of touching,hearing,and smelling,as well as their safety and *** mental image consists of five key elements:links,reference points,areas,separators,and *** the small size of the study sample and the specificity of the context,the results of this study will tremendously help planners in designing highly inclusive urban *** characteristics that can be recognized by the blinds will enhance their accessibility of urban spaces,encourage independent mobility,increase the quality of life and social inclusion for them.

关键词： Mental map City image Congenital blind Cognitive mapping Environmental perception

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Childhood asthma biomarkers including zinc: An exploratory crosssectional study

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World Journal of Clinical Pediatrics 2024年第1期13卷 31-40页

作者： Hoda Atef Abdelsattar ibrahim Mona Mohsen Boles Salep Aziz Hanna Dina mahmoud Khaled Mohamed Abdelhamid el-Khashab Pediatric Clinical Nutrition Unit Faculty of MedicineCairo UniversityCairo 12613Egypt Department of Pediatrics Faculty of MedicineCairo UniversityCairo 12613Egypt Department of Clinical Pathology Faculty of MedicineCairo UniversityCairo 12613Egypt

BACKGROUND Childhood bronchial asthma(BA)is a chronic inflammatory respiratory *** conditions,including zinc deficiency,can affect such allergic *** To outline the difference in serum zinc levels between asthmatic children and healthy *** A cross-sectional study was carried out at Children’s Hospital,Cairo University,investigating serum zinc levels in children with BA(n=40)and healthy children(n=21).Other markers included serum ferritin,iron,hemoglobin(Hb),and immunoglobulin E(IgE)*** t-tests and Mann-Whinny tests were used for *** Kruskal-Wallis test was applied to compare serum ferritin and IgE levels with regard to asthma ***'s rank correlation was performed to explore the relationship between serum ferritin levels and both iron and Hb levels in asthmatic *** Children with BA had higher levels of zinc,yet the difference was not significant(P=0.115).Serum ferritin and IgE levels were significantly higher in asthmatic children(P=0.006 and 0.001,respectively),yet their levels did not differ significantly by severity(P=0.623 and 0.126,respectively).There was a nonsignificant weak correlation between serum ferritin levels and both serum iron and Hb *** Serum zinc levels do not seem to differ between asthmatic children and healthy *** ferritin levels may be a marker of asthma *** IgE levels are not markers of asthma severity.

关键词： Children Asthma Zinc Ferritin

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Gastroesophageal reflux after per-oral endoscopic myotomy:Management literature

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World Journal of Gastroenterology 2024年第23期30卷 2947-2953页

作者： Ahmed Tawheed ibrahim Halil Bahcecioglu Mehmet Yalniz Mohamed el-Kassas Department of Endemic Medicine Faculty of MedicineHelwan UniversityCairo 11795Egypt Department of Gastroenterology Faculty of MedicineFirat UniversityElazig 23119Türkiye Liver Disease Research Center College of MedicineKing Saud UniversityRiyadh 7805Saudi Arabia

In this editorial,we respond to a review article by Nabi et al,in which the authors discussed gastroesophageal reflux(GER)following peroral endoscopic myotomy(POEM).POEM is presently the primary therapeutic option for achalasia,which is both safe and effective.A few adverse effects were documented after POEM,including *** diagnostic criteria were not clear enough because approximately 60%of patients have a long acid exposure time,while only 10%experience reflux *** predictors of high disease incidence have been identified,including old age,female sex,obesity,and a baseline lower esophageal sphincter pressure of less than 45 *** technical steps during the procedure,such as a lengthy or full-thickness myotomy,may further enhance the *** pump inhibitors are currently the first line of *** voices are increasingly advocating for the routine combining of POEM with an endoscopic fundoplication method,such as peroral endoscopic fundoplication or transoral incisionless ***,more research is necessary to determine the safety and effectiveness of these procedures in the long term for patients who have undergone them.

关键词： Achalasia Per-oral endoscopic myotomy Gastroesophageal reflux disease Transoral incisionless fundoplication Peroral endoscopic fundoplication

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Urban electric Vehicle Charging Station Placement Optimization with Graylag Goose Optimization Voting Classifier

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Computers, Materials & Continua 2024年第7期80卷 1163-1177页

作者： Amel Ali Alhussan Doaa Sami Khafaga el-Sayed M.el-kenawy Marwa M.Eid Abdelhameed ibrahim Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute for Engineering and TechnologyMansoura35511Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

To reduce the negative effects that conventional modes of transportation have on the environment,researchers are working to increase the use of electric *** demand for environmentally friendly transportation may be hampered by obstacles such as a restricted range and extended rates of *** establishment of urban charging infrastructure that includes both fast and ultra-fast terminals is essential to address this ***,the powering of these terminals presents challenges because of the high energy requirements,whichmay influence the quality of *** the maximum hourly capacity of each station based on its geographic location is necessary to arrive at an accurate estimation of the resources required for charging *** is vital to do an analysis of specific regional traffic patterns,such as road networks,route details,junction density,and economic zones,rather than making arbitrary conclusions about traffic *** vehicle traffic is simulated using this data and other variables,it is possible to detect limits in the design of the current traffic engineering ***,the binary graylag goose optimization(bGGO)algorithm is utilized for the purpose of feature ***,the graylag goose optimization(GGO)algorithm is utilized as a voting classifier as a decision algorithm to allocate demand to charging stations while taking into consideration the cost variable of traffic *** on the results of the analysis of variance(ANOVA),a comprehensive summary of the components that contribute to the observed variability in the dataset is *** results of the Wilcoxon Signed Rank Test compare the actual median accuracy values of several different algorithms,such as the voting GGO algorithm,the voting grey wolf optimization algorithm(GWO),the voting whale optimization algorithm(WOA),the voting particle swarm optimization(PSO),the voting firefly algorithm(FA),and the voting genetic algori

关键词： electric vehicle graylag goose optimization metaheuristics optimization machine learning

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Effects of friction stir processing and nano-hydroxyapatite on the microstructure,hardness,degradation rate and in-vitro bioactivity of WE43 alloy for biomedical applications

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Journal of Magnesium and Alloys 2024年第1期12卷 209-224页

作者： Bo Wu Farazila Yusof Fuguo Li Huan Miao A.R.Bushroa Mohd Ridha Bin Muhamad Irfan Anjum Badruddin mahmoud Z.ibrahim Department of Mechanical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur 50603Malaysia Centre of Advanced Manufacturing and Material Processing(AMMP Centre) Universiti MalayaKuala Lumpur 50603Malaysia Center of Foundation studies in Science Universiti MalayaKuala Lumpur 50603Malaysia State Key Laboratory of Solidification Processing School of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072China Mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha 61421Saudi Arabia Design and Production Engineering Faculty of EngineeringAin Shams UniversityCairo 11517Egypt

Nowadays,magnesium alloys are emerging in biomedical implants for their similar properties to natural ***,the rapid degradation of magnesium alloys in biological media hinders successful *** of microstructure,as well as reinforcement particles can significantly improve the degradation *** this work,multi-pass friction stir processing(FSP)was proposed to synthesize WE43/nano-hydroxyapatite(n HA)surface composite,the microstructure,reinforced particle distribution,micro-hardness,corrosion behavior and in-vitro bioactivity were *** subsequent FSP passes of WE43 alloy and WE43/n HA composite refined the grain size which was reduced by 94.29%and 95.92%(2.63 and 1.88μm,respectively)compared to base metal after three *** resulted in increasing the microhardness by 120%(90.86 HV0.1)and 135%(105.59 HV0.1)for the WE43 and WE43-n HA,*** is found that increasing FSP passes improved the uniform distribution of n HA particles within the composite matrix which led to improved corrosion resistance and less degradation *** corrosion rate of the FSPed WE43/n HA composite after three passes was reduced by 38.2%(4.13 mm/year)and the degradation rate was reduced by 69.7%(2.87 mm/y).This is attributed to secondary phase(Mg24Y5and Mg41Nd5)particle fragmentation and redistribution,as well as a homogeneous distribution of n ***,the growing Ca-P and Mg(OH)2layer formed on the surface represented a protective layer that reduced the degradation *** wettability test revealed a relatively hydrophilic surface with water contact angle of 49.1±2.2°compared to 71.2±2.1°for base ***,biomineralization test showed that apatite layer grew after immersion 7d in simulated body fluid with atomic ratio of Ca/P 1.60 approaching the stoichiometric ratio(1.67)indicating superior bioactivity of FSPed WE43/n HA composite after three *** results raise that the grain refinement by FSP and introduction of n HA partic

关键词： Friction stir processing Magnesium-based composite Nano-hydroxyapatite Corrosion behavior In-vitro bioactivity

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Classifying rockburst with confidence:A novel conformal prediction approach

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International Journal of Mining Science and Technology 2024年第1期34卷 51-64页

作者： Bemah ibrahim Isaac Ahenkorah University of South Australia UniSA STEMSA 5000Australia

The scientific community recognizes the seriousness of rockbursts and the need for effective mitigation *** literature reports various successful applications of machine learning(ML)models for rockburst assessment;however,a significant question remains unanswered:How reliable are these models,and at what confidence level are classifications made?Typically,ML models output single rockburst grade even in the face of intricate and out-of-distribution samples,without any associated confidence *** the susceptibility of ML models to errors,it becomes imperative to quantify their uncertainty to prevent consequential *** address this issue,we propose a conformal prediction(CP)framework built on traditional ML models(extreme gradient boosting and random forest)to generate valid classifications of rockburst while producing a measure of confidence for its *** proposed framework guarantees marginal coverage and,in most cases,conditional coverage on the test *** CP was evaluated on a rockburst case in the Sanshandao Gold Mine in China,where it achieved high coverage and efficiency at applicable confidence ***,the CP identified several“confident”classifications from the traditional ML model as unreliable,necessitating expert verification for informed *** proposed framework improves the reliability and accuracy of rockburst assessments,with the potential to bolster user confidence.

关键词： Rockburst Machine learning Uncertainty quantification Conformal prediction

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Microbial,immune and antioxidant responses of Nile tilapia with dietary nano-curcumin supplements under chronic low temperatures

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Aquaculture and Fisheries 2024年第1期9卷 57-65页

作者： Mohammed F.el Basuini Mohamed A.A.Zaki Abdelaziz M.el-Hais Mohamed G.elhanafy Emad H.el-Bilawy Amr I.Zaineldin Mohamed F.A.Abdel-Aziz ibrahim A.Abouelsaad ibrahim Tel-Ratel Kumbukani Mzengereza Ronick S.Shadrack Islam I.Teiba Faculty of Agriculture Tanta UniversityTanta31527Egypt King Salman International University South Sinai46618Egypt Faculty of Agriculture Alexandria UniversityAlexandria21526Egypt Animal Health Research Institute(AHRI-DOKI) Agriculture Research CenterGiza12619Egypt Fish Rearing Lab. Aquaculture DivisionNational Institute of Oceanography and FisheriesAlexandria21556Egypt Horticulture Department Faculty of AgricultureDamanhour UniversityDamanhur22511Egypt Department of Poultry Production Faculty of AgricultureDamietta UniversityDamietta34517Egypt Laboratory of Aquatic Animal Nutrition Faculty of FisheriesKagoshima UniversityKagoshima890-0065Japan Department of Aquatic and Fisheries Science Mzuzu UniversityMzuzuPrivate Bag 201Malawi Faculty of Aquaculture and Marine Fisheries Arish UniversityArish45516Egypt

A 56-day feeding period was performed to investigate the possible impacts of dietary nano curcumin(0,50,100,150,and 200 ppm)on the growth,nutrient utilization,non-specific immune parameters,antioxidants in Nile tilapia under chronic low temperature(21.02±0.11◦C).Fishes(n=225;Initial weight=4.39±0.08 g/fish)were randomly stocked at 15 fish/tank for five experimental groups in *** low-temperature circumstances,dietary curcumin in nano form showed no notable alteration in growth variable,nutrient efficiency,digestive enzymes efficiency,biometric indices,survival rates,and hematological ***,the serum of fishes with nano curcumin diets under low-temperature stress displayed higher total protein as well as lower glucose,cortisol,and total cholesterol compared with the control ***,fish fed nano curcumin diets displayed higher lysozyme and bactericidal activities compared to the control group and the best performance was found at dietary nano curcumin level of≥100 ***,groups fed the basal diet demonstrated the poorest antioxidant capacity,and the best superoxide dismutase(SOD)and glutathione peroxidase(GPx)existed in fish with nano curcumin diets while the best catalase(CAT)efficiency occurred at higher nano curcumin levels≥100 *** addition,higher counts of intestinal microbiota in terms of total bacterial count(TBC),total yeast and molds count(TYMC),and coliform were noticed in fish consumed the basal diet compared to groups fed on nano curcumin *** conclusion,incorporating nano curcumin at a level of≥100 mg/kg diet(particularly at 150 mg/kg)improved a non-specific immune response,antioxidant,and healthier gastrointestinal microbiota in Nile tilapia under chronic low-temperature stress.

关键词： Nano curcumin Gastrointestinal microbiota Antioxidants Non-specific immune responses Temperature stress

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