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Optimized Deep Learning model for Colorectal Cancer Detection and Classification model

Computers, materials & Continua 2022年第6期71卷 5751-5764页

作者： mahmoud Ragab Khalid Eljaaly maha Farouk SSabir Ehab Bahaudien Ashary S.m.Abo-Dahab E.m.khalil Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Center of Artificial Intelligence for Precision medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Department of mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Department of Pharmacy Practice Faculty of PharmacyKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Computer Science Department Faculty of Computers and InformationLuxor University85951Egypt mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt Department of mathematics Faculty of ScienceTaif UniversityTaif21944Saudi Arabia

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 *** to the advancements of medical imaging in healthcare decision making,significant attention has been paid by the computer vision and deep learning(DL)*** the same time,the detection and classification of colorectal cancer(CC)become essential to reduce the severity of the disease at an earlier *** 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 *** this aspect,this study focuses on the design of intelligent DL based CC detection and classification(IDL-CCDC)model for bioinformatics *** proposed IDL-CCDC technique aims to detect and classify different classes of *** addition,the IDLCCDC technique involves fuzzy filtering technique for noise removal ***,water wave optimization(WWO)based EfficientNet model is employed for feature extraction ***,chaotic glowworm swarm optimization(CGSO)based variational auto encoder(VAE)is applied for the classification of CC into benign or *** design of WWO and CGSO algorithms helps to increase the overall classification *** 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.

关键词： Colorectal cancer deep learning medical imaging bioinformatics metaheuristics parameter tuning

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Facial basal cell carcinoma:A retrospective study of 67 cases

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World Journal of Clinical Cases 2023年第7期11卷 1488-1497页

作者： Afrah A khalil hamid H Enezei Tahrir N Aldelaimi Raid m Al-Ani Department of Oral Diagnosis College of DentistryUniversity of AnbarRamadi 31001AnbarIraq Department of Oral and maxillofacial Surgery College of DentistryUniversity of AnbarRamadi 31001AnbarIraq Department of Surgery/Otolaryngology University of AnbarCollege of MedicineRamadi 31001AnbarIraq

BACKGROUND Basal cell carcinoma(BCC)is a slow-growing malignant tumor characterized by local invasiveness but an exceptionally rare metastatic *** ideally affects sun-exposed skin of older patients with more propensity for the facial *** To evaluate the different clinicopathological characteristics of the facial BCC and the efficacy and safety of diode laser for the treatment of these *** We retrospectively reviewed facial BCC lesions ofm in diameter and subjected them to diode laser ablation during the period from September 2016 to August 2021 at Al-Ramadi Teaching Hospital,Ramadi City,*** matching the age,gender,duration,site,and clinical and histological types were registered for every *** functional and aesthetic outcomes and complications following diode laser ablation for each patient were also *** Of 67 patients with facial BCC,there was 65.67%from the age group≥60 years and 58.21%*** mean duration of the lesions was 5.15±1.836 *** most involved location was the nose(29.85%).About half of the cases belong to the noduloulcerative *** histological type comprises 40.3%of the cases,while the least was keratotic(13.4%).moreover,65.2%of the solid cases were from the age group≤60 years and 38.6%of the adenoid type from the age group>60 years(P value=0.007).Excellent aesthetic and functional outcomes were reported in all cases after 6 mo of *** complications were reported after diode laser *** Facial BCC was mostly seen in the elderly and *** mean duration was 5.15 *** nose was the commonest involved *** lesions were seen in approximately half of the *** age of the patients determined the histological type of the lesion(solid type was mostly seen in the age group≤60 years,while,adenoid in the age group>60 years).Diode laser ablation showed excellent functional and aesthetic outcomes following a 6-mo follow-up.

关键词： Basal cell carcinoma maxillofacial pathology Histopathology malignant skin tumors Dermatological lesions Diode laser

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Tailoring nanocomposite membranes of cellulose acetate/silica nanoparticles for desalination

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Journal of materiomics 2022年第6期8卷 1122-1130页

作者： Amira S.mohammed Ali moataz m.Soliman Sherif H.Kandil Shaker Ebrahim marwa khalil materials Science Department Institute of Graduate Studies and Research(IGSR)Alexandria University163 Horrya AvenueEl-ShatbyP.O.Box 83221526AlexandriaEgypt Nanotechnology and Composite materials Department Advanced Technology and New Materials Research InstituteCity of Scientific Research and Technological Applications(SRTA-City)P.O.Box 21934New Borg El Arab CityAlexandriaEgypt

Herein, the fabrication of cellulose acetate (CA) silica-based nanocomposite membranes via the dry-wetphase inversion procedure for water desalination was investigated. The modified and unmodified silicananoparticles (mSNPs and SNPs) were prepared by the sol-gel technique. The effect of the SNPs andmSNPs was investigated on the CA membrane's properties and their performance for water *** CA nanocomposite membranes were characterized to study their structure, hydrophilicity, andmorphology. The fabricated nanocomposite membranes showed hydrophilic surface properties. Theperformance of reverse osmosis (RO) membranes was measured using a crossflow RO unit at 10 bar(1 bar = 0.1 mPa). The membrane with 10 mg of SNPs enhanced permeate water flux compared to thepristine CA membrane by 1.6 L/(m2·h). The effect of mSNPs on the nanocomposites' performance waslower than their counterpart in the case of adding SNPs. The membrane with 30 mg of mSNPs showedthe highest permeate water flux among other nanocomposite membranes with a value oAQSf 35.7 L/(m2·h)at 24 bar.

关键词： Silica nanoparticles Amino-modified silica Cellulose acetate Nanocomposite membrane Water desalination Reverse osmosis

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metal-organic framework derived multi-functionalized and co-doped TiO_(2)/C nanocomposites for excellent visible-light photocatalysis

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Journal of materials Science & Technology 2022年第6期101卷 49-59页

作者： mian Zahid Hussain Zhuxian Yang Ahmed m.E.khalil Shahzad Hussain Saif Ullah Awan Quanli Jia Roland A.Fischer Yanqiu Zhu Yongde Xia College of Engineering Mathematics and Physical SciencesUniversity of ExeterExeter EX44QFUnited Kingdom Department of Chemistry and Catalysis Research Centre Technical University of MunichGarching85748Germany Department of Chemical Engineering Faculty of EngineeringCairo UniversityGiza 12613Egypt Department of Physics COMSATS University Islamabad45550 Pakistan Department of Electrical Engineering National University of Sciences and TechnologyIslamabadPakistan Henan Key Laboratory of High Temperature Functional Ceramics Zhengzhou UniversityZhengzhou 450052China

multi-functionalized and co-doped TiO_(2)/C nanocomposites were derived from the pyrolysis of Ti-mOFs at 800℃under different gaseous atmospheres and their photocatalytic performance were *** gaseous atmosphere during pyrolysis plays a critical role in determining the structural,textural,optical and physicochemical properties of the derived TiO_(2)/C composites due to the synergistic effect of nitrogen-containing species,carboxylate and sulfur functionalized porous carbon as well as N/S co-doped TiO_(2)*** the Ti-mOFs derived TiO_(2)/C composites exclusively possess homogeneously distributed TiO_(2)nanoparticles in a functionalized disc-like porous carbon matrix and demonstrate much enhanced adsorption and photodegradation performance than commercial TiO_(2)under the same *** adsorption of methylene blue(mB)in dark on these TiO_(2)/C composites are dominated with pseudo second-order kinetic model and the high adsorption capacity of mB in dark on composite TiO_(2)/C derived from mIL-125(Ti)in argon is due to its high surface area with predominant mesoporous carbon matrix in the *** composite N-O-TiO_(2)/C derived from NH2-mIL-125(Ti)in water vapor exhibited the highest photodegradation activity with 99.7%mB removal in 3 h under visible light due to the optimal anatase/rutile phasejunction,together with the formation of photoactive oxygen-rich N-O like interstitial/intraband states above the valence band of TiO_(2),as well as the presence of N-containing species and-OH/-COOH multi-functional groups with superhydrophilic nature of the *** simple one-step and easily modifiable approach can be further employed to modulate homogeneously dispersed multi-functionalized and co-doped metal oxide/carbon nanocomposites for various environment and energy-related applications.

关键词： Nanocomposite mOF derivative TiO_(2) Porous carbon Photocatalysis

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Processing and mechanical properties of porous 316L stainless steel for biomedical applications

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中国有色金属学会会刊：英文版 2007年第3期17卷 468-473页

作者： montasser m. DEWIDAR khalil A. khalil J. K. LIm Department of mechanical Design and materials High Institute of Energy South Valley University Aswan Egypt Material and Fracture Laboratory Department of Mechanical Design Chonbuk National University Duckjin 1-664-14 Jeonju JB561-756 South Korea Department of mechanical Design and materials High Institute of Energy South Valley University Aswan Egypt Automobile Hi-Technology Research Institute Faculty of Mechanical and Aerospace System Engineering Chonbuk National University Duckjin 1-6 64-14 Jeonju JB 561-756 South Korea

Highly porous 316L stainless steel parts were produced by using a powder metallurgy process, which includes the selective laser sintering(SLS) and traditional sintering. Porous 316L stainless steel suitable for medical applications was successfully fabricated in the porosity range of 40%-50% (volume fraction) by controlling the SLS parameters and sintering behaviour. The porosity of the sintered compacts was investigated as a function of the SLS parameters and the furnace cycle. Compressive stress and elastic modulus of the 316L stainless steel material were determined. The compressive strength was found to be ranging from 21 to 32 mPa and corresponding elastic modulus ranging from 26 to 43 GPa. The present parts are promising for biomedical applications since the optimal porosity of implant materials for ingrowths of new-bone tissues is in the range of 20%-59% (volume fraction) and mechanical properties are matching with human bone.

关键词：不锈钢激光烧结处理方法金属

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EJUSTCO:monte Carlo radiation transport code hybrid with ANN model for gamma-ray shielding simulation

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Nuclear Science and Techniques 2023年第9期34卷 155-176页

作者： Joseph Konadu Boahen Ahmed S.G.khalil mohsen A.Hassan Samir A.Elsagheer mohamed materials Science and Engineering Department School of Innovative Design EngineeringEgypt-Japan University of Science and Technology(E-JUST)179New Borg El-Arab CityEgypt Physics Department Environmental and Smart Technology GroupFaculty of ScienceFayoum UniversityFayoum 63514Egypt Faculty of Engineering Aswan UniversityAswanEgypt

Gamma ray shielding is essential to ensure the safety of personnel and equipment in facilities and environments where radiation *** monte Carlo technique is vital for analyzing the gamma-ray shielding capabilities of *** this study,a simple monte Carlo code,EJUSTCO,is developed to cd simulate gamma radiation transport in shielding materials for academic *** code considers the photoelectric effect,Compton(incoherent)scattering,pair production,and photon annihilation as the dominant interaction mechanisms in the gamma radiation shielding *** reduction techniques,such as the Russian roulette,survival weighting,and exponential transformation,are incorporated into the code to improve computational *** the exponential transformation parameter typically requires trial and error as well as ***,a deep learning neural network is proposed as a viable method for predicting this parameter for the first *** model achieves an mSE of 0.00076752 and an R-value of *** exposure buildup factors and radiation dose rates due to the passage of gamma radiation with different source energies and varying thicknesses of lead,water,iron,concrete,and aluminum in single-,double-,and triple-layer material systems are validated by comparing the results with those of mCNP,ESG,ANS-6.4.3,mCBLD,mONTEREY mARK(m),PENELOPE,and *** errors of 5.6%,2.75%,and 10%are achieved for the exposure buildup factor in single-,double-,and triple-layer materials,respectively.A significant parameter that is not considered in similar studies is the gamma ray *** the EJUSTCO code,the total number and energy albedos have been *** results are compared with those of mCNP,FOTELP,and *** general,the EJUSTCO-developed code can be employed to assess the performance of radiation shielding materials because the validation results are consistent with theoretical,experimental,and literary results.

关键词： monte Carlo Gamma rays Shielding Artificial neural network Simulation

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Human Emotions Classification Using EEG via Audiovisual Stimuli and AI

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Computers, materials & Continua 2022年第12期73卷 5075-5089页

作者： Abdullah A Asiri Akhtar Badshah Fazal muhammad Hassan A Alshamrani khalil Ullah Khalaf A Alshamrani Samar Alqhtani muhammad Irfan Hanan Talal Halawani Khlood m mehdar Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajranSaudi Arabia Faculty of Computer Science and Engineering GIK Institute of Engineering Sciences and TechnologyTopi23460Pakistan Department of Electrical Engineering University of Engineering and TechnologyMardan23200Pakistan Department of Software Engineering University of MalakandDir LowerPakistan Department of Computer Science and Information Systems College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajranSaudi Arabia Anatomy Department Medicine CollegeNajran UniversityNajranSaudi Arabia

Electroencephalogram(EEG)is a medical imaging technology that can measure the electrical activity of the scalp produced by the brain,measured and recorded chronologically the surface of the scalp from the *** recorded signals from the brain are rich with useful *** inference of this useful information is a challenging *** paper aims to process the EEG signals for the recognition of human emotions specifically happiness,anger,fear,sadness,and surprise in response to audiovisual *** EEG signals are recorded by placing neurosky mindwave headset on the subject’s scalp,in response to audiovisual stimuli for the mentioned *** a bandpass filter with a bandwidth of 1-100 Hz,recorded raw EEG signals are *** preprocessed signals then further analyzed and twelve selected features in different domains are *** Random forest(RF)and multilayer perceptron(mLP)algorithms are then used for the classification of the emotions through extracted *** proposed audiovisual stimuli based EEG emotion classification system shows an average classification accuracy of 80%and 88%usingmLP and RF classifiers respectively on hybrid features for experimental signals of different *** proposed model outperforms in terms of cost and accuracy.

关键词： Electroencephalography emotion classification signal processing multilayer perceptron random forest

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Characterization of cytotoxicity of airborne particulates from urban areas of Lahore

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Journal of Environmental Sciences 2012年第11期24卷 2028-2034页

作者： Badar Ghauri m.mansha Christian khalil Institute of Space Technology Karachi 72500Pakistan School of Risk and Safety Sciences University of New South WalesAustralia

A number of species （organic and inorganic） in airborne particulates cause the toxicity to living being. The potential of in vitro test methods were explored for toxicity assessment of trace toxic elements （inorganic species） present in ambient air on human being （lungs）. A year long sampling of airborne particles （Pm2.5） was carded （April 2008 to march 2009） in Lahore, Pakistan. A total of thirty nine samples were collected on 47 mm Zefiuor Teflon filter membranes and each was analysed to characterize for the elements： Sb, As, Be, Cd, Cr, Co, Pb, mn, Hg using ICP-mS in water extract and total acid digestate. The samples cytotoxicity was also established using lung derived cells and mTS colorimetric assays. This generated dose response curves and IC50 values for the elemental mixtures identified on the Teflon filter membrane. The results indicated that even at low concentrations airborne elemental mixtures displayed an additive toxic effect.

关键词： particulate matter trace elements in vitro toxicity

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Development of Cd-doped Co Nanoparticles Encapsulated in Graphite Shell as Novel Electrode material for the Capacitive Deionization Technology

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Nano-micro Letters 2013年第4期5卷 303-313页

作者： Nasser A.m.Barakat khalil Abdelrazek khalil Ahmad G.El-Deen Hak yong kim Organic materials and Fiber Engineering Department Chonbuk National University Chemical Engineering Department Minia University mechanical Engineering Department (NPST) King Saud University Dept of Bionano System Engineering College of Engineering Chonbuk National University

Because of the low energy requirement and the environmentally safe byproducts, the capacitive deionization water desalination technology has attracted the attention of many researchers. The important requirements for electrode materials are good electrical conductivity, high surface area, good chemical stability and high specific capacitance. In this study, metallic nanoparticles that are encapsulated in a graphite shell(Cd doped Co/C NPs) are introduced as the new electrode material for the capacitive deionization process because they have higher specific capacitance than the pristine carbonaceous materials. Cd doped Co/C NPs perform better than graphene and the activated carbon. The introduced nanoparticles were synthesized using a simple sol gel technique. A typical sol gel composed of cadmium acetate, cobalt acetate and poly(vinyl alcohol)was prepared based on the polycondensation property of the acetates. The physiochemical characterizations that were used confirmed that the drying, grinding and calcination in an Ar atmosphere of the prepared gel produced the Cd doped Co nanoparticles, which were encapsulated in a thin graphite layer. Overall, the present study suggests a new method to effectively use the encapsulated bimetallic nanostructures in the capacitive deionization technology.

关键词： Capacitive deionization Water desalination Bimetallic nanoparticles Specific capacitance

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Carrier Density and Electric Field Dependent Nonlinear Transport of Chemical Vapor Deposition Graphene

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Chinese Physics Letters 2013年第3期30卷 127-130页

作者： khalil Hafiz m.W. KELEKCI Ozgur NOH Hwayong Department of Physics and Graphene Research Institute Sejong UniversitySeoul 143-747Korea

We report on the measurements of nonlinear current-voltage characteristics of graphene fabricated by chemical vapor *** current-voltage characteristic is described by a power law with a superlinear dependence of the current on the voltage,and the nonlinearity depends on the carrier density and the excitation *** nonlinearity is strongest at the Dirac point and becomes weaker as the carrier density *** the Dirac point,we also observe a crossover to a much stronger nonlinear transport when the electric field increases above 104 V/m.

关键词： deposition. nonlinearity nonlinear

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