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Neuro Endocrine Tumor of the Gall Bladder: A Case Report

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Surgical Science 2017年第9期8卷 422-427页

作者： Eddy Oleko Ekuke Yassine Kdhissi Fatoumata Djouldé Smith Diallo Pierlesky elion Ossibi hicham el bouhadoutti el Bachir Benjelloun Ouadii Mouaqit Benajah Dafr-Allah Abdelmalek Ousadden Khalid Mazaz Khalid Ait Taleb Department of Visceral Surgery Hassan II University Hospital Fez Morocco Department of Gastroenterology and Hepatology Hassan II University Hospital Fez Morocco

Neuroendocrine tumors (NET) of the gallbladder are a rare entity with only 0.2% of all NET located in the gall bladder. Well-differentiated NETs occur at a relatively lower age group unlike other gallbladder tumors, whereas neuroendocrine carcinoma (NEC) occurs in an older category of patients. The aim of our study is to discuss the current level of evidence regarding this pathological entity by means of a rare case report on a neuroendocrine carcinoma of the gall bladder in a 63-year-old patient with a history of diabetes. Patient underwent cholecystectomy for acute cholecystitis. Pathology findings on surgical specimen came back for neuroendocrine tumour.

关键词： Neuroendocrine Tumors Endocrine Carcinoma Gall Bladder

An Efficient Hybrid Model for Arabic Text Recognition

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Computers, Materials & Continua 2023年第2期74卷 2871-2888页

作者： hicham Lamtougui hicham el Moubtahij Hassan Fouadi Khalid Satori LIIAN Laboratory Faculty of Sciences Dhar-MahrazFez30000Morocco Modeling Systems and Technologies of Information TeamUniversity of Ibn ZohrAgadir

In recent years,Deep Learning models have become indispensable in several fields such as computer vision,automatic object recognition,and automatic natural language *** implementation of a robust and efficient handwritten text recognition system remains a challenge for the research community in this field,especially for the Arabic language,which,compared to other languages,has a dearth of published *** this work,we presented an efficient and new system for offline Arabic handwritten text *** new approach is based on the combination of a Convolutional Neural Network(CNN)and a Bidirectional Long-Term Memory(BLSTM)followed by a Connectionist Temporal Classification layer(CTC).Moreover,during the training phase of the model,we introduce an algorithm of data augmentation to increase the quality of *** proposed approach can recognize Arabic handwritten texts without the need to segment the characters,thus overcoming several problems related to this *** train and test(evaluate)our approach,we used two Arabic handwritten text recognition databases,which are IFN/ENIT and *** Experimental results show that our new approach,compared to other methods in the literature,gives better results.

关键词： Deep learning arabic handwritten text recognition convolutional neural network(CNN) bidirectional long-term memory(BLSTM) connectionist temporal classification(CTC)

Influence of the Inclination Angle on Mixed Convection and Heat Transfer in a“T”Shaped Double Enclosure

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Fluid Dynamics & Materials Processing 2023年第7期19卷 1753-1774页

作者： M’Barka Mourabit Meryam Meknassi Soukaina Fekkar Soumia Mordane hicham Rouijaa el Alami Semma Polymer Physics and Critical Phenomena Laboratory Department of PhysicsFaculty of Sciences of Ben M’SikHassanⅡUniversityCasablancaMorocco Laboratory of Control and Mechanical Characterization of Materials and Structures National Higher School of Electricity and MechanicsHassanⅡUniversityCasablancaMorocco Laboratory of electrical Systems and Telecommunications Department of Applied PhysicsFSTHassan 1^(st)UniversitySettatMorocco Laboratory of Engineering Industrial Management and Innovation FSTHassan 1^(st)UniversitySettatMorocco

The effect of the tilt angle on mixed convection and related heat transfer in a“T”shaped double enclosure with four heated obstacles on the bottom surface is numerically *** considered obstacles are constantly kept at a relatively high(fixed)temperature,while the cavity’s upper wall is *** finite volume approach is used to solve the mass,momentum,and energy equations with the SIMPLEC algorithm being exploited to deal with the pressure-velocity *** is put on the influence of the tilt angle on the solution symmetry,flow structure,and heat exchange through the *** following parameters and related ranges are considered:Rayleigh number 104≤Ra≤5.105,tilt angle 0°≤φ≤90°,Reynolds number 100≤Re≤1000,Prandtl number Pr=0.72,block height B=0.5,opening width C=0.15,and distance between blocks D=*** results reveal different branches of solutions on varying Re andφ.They also show that the symmetry of the solution regarding the P_(2)axis is retained for all cases with no tilt and for values of Re between 100 and 1000.

关键词： Mixed convection heat transfer inclination angle “T”shaped double cavity

Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

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Computers, Materials & Continua 2022年第7期72卷 739-753页

作者： Khalid A.AlAfandy hicham Omara Hala S.el-Sayed Mohammed Baz Mohamed Lazaar Osama S.Faragallah Mohammed Al Achhab ENSA Abdelmalek Essaadi UniversityTetouan 93002Morocco FS Abdelmalek Essaadi UniversityTetouan 93002Morocco Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia ENSIAS Mohammed V University in Rabat 10000Morocco Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia

Remote sensing image processing engaged researchers’attentiveness in recent years,especially *** main problem in classification is the ratio of the correct predictions after *** extraction is the foremost important step to build high-performance image *** convolution neural networks can extract images’features that significantly improve the image classifiers’*** paper proposes two efficient approaches for remote sensing images classification that utilizes the concatenation of two convolution channels’outputs as a features extraction using two classic convolution models;these convolution models are the ResNet 50 and the DenseNet *** elicited features have been used by the fully connected neural network classifier and support vector machine classifier as input *** results of the proposed methods are compared with other antecedent approaches in the same experimental *** is based on learning curves plotted during the training of the proposed classifier that is based on a fully connected neural network and measuring the overall accuracy for the both proposed *** proposed classifiers are used with their trained weights to predict a big remote sensing scene’s classes for a developed *** results ensure that,compared with the other traditional classifiers,the proposed classifiers are further accurate.

关键词： Remote sensing images deep learning ResNet DenseNet SVM

A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images

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Computer Systems Science & Engineering 2023年第8期46卷 1789-1809页

作者： hicham Moujahid Bouchaib Cherradi Oussama el Gannour Wamda Nagmeldin Abdelzahir Abdelmaboud Mohammed Al-Sarem Lhoussain Bahatti Faisal Saeed Mohammed Hadwan EEIS Laboratory ENSET of MohammediaHassan II University of CasablancaMohammedia28820Morocco STIE Team CRMEF Casablanca-SettatThe Provincial Section of El JadidaEl Jadida24000Morocco Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Information Systems King Khalid UniversityMuhayel Aseer61913Saudi Arabia College of Computer Science and Engineering Taibah UniversityMedina42353Saudi Arabia Department of Computer Science University of Sheba RegionMarib14400Yemen DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City UniversityBirminghamB47XGUK Department of Information Technology College of ComputerQassim UniversityBuraydah 51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaiz6803Yemen

Due to the rapid propagation characteristic of the Coronavirus(COVID-19)disease,manual diagnostic methods cannot handle the large number of infected individuals to prevent the spread of ***,new automated diagnostic methods have been brought on board,particularly methods based on artificial intelligence using different medical data such as X-ray *** imaging,for example,produces several image types that can be processed and analyzed by machine and deep learning methods.X-ray imaging materials widely exist in most hospitals and health institutes since they are affordable compared to other imaging *** this paper,we propose a novel Convolutional Neural Network(CNN)model(COV2Net)that can detect COVID-19 virus by analyzing the X-ray images of suspected *** model is trained on a dataset containing thousands of X-ray images collected from different *** model was tested and evaluated on an independent *** order to approve the performance of the proposed model,three CNN models namely Mobile-Net,Residential Energy Services Network(Res-Net),and Visual Geometry Group 16(VGG-16)have been implemented using transfer learning *** experiment consists of a multi-label classification task based on X-ray images for normal patients,patients infected by COVID-19 virus and other patients infected with *** proposed model is empowered with Gradient-weighted Class Activation Mapping(Grad-CAM)and Grad-Cam++techniques for a visual explanation and methodology debugging *** finding results show that the proposed model COV2Net outperforms the state-of-the-art methods.

关键词： Artificial intelligence intelligent diagnostic systems decisionmaking COVID-19 convolutional neural network

Antioxidant,antimicrobial,and α-glucosidase inhibitory activities of saponin extracts from walnut(Juglans regia L.) leaves

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Asian Pacific Journal of Tropical Biomedicine 2023年第2期13卷 60-69页

作者： Youssef elouafy Adil el Yadini Salma Mortada Mohamed Hnini hicham Harhar Asaad Khalid Ashraf NAbdalla Abdelhakim Bouyahya Khang Wen Goh Long Chiau Ming My el Abbes Faouzi Mohamed Tabyaoui Laboratory of Materials Nanotechnology and EnvironmentFaculty of SciencesMohammed V University in RabatRabatMorocco Laboratories of Pharmacology and Toxicology Pharmaceutical and Toxicological Analysis Research TeamFaculty of Medicine and PharmacyMohammed V University in RabatRabatMorocco Center of Plant and Microbial Biotechnology Biodiversity and EnvironmentMicrobiology and Molecular Biology TeamFaculty of SciencesMohammed V University in RabatRabatMorocco Substance Abuse and Toxicology Research Center Jazan UniversityJazan 45142Saudi Arabia Medicinal and Aromatic Plants and Traditional Medicine Research Institute National Center for ResearchKhartoumSudan Department of Pharmacology and Toxicology College of PharmacyUmm Al-Qura UniversityMakkahSaudi Arabia Laboratory of Human Pathologies Biology Faculty of SciencesMohammed V University in RabatMorocco Faculty of Data Science and Information Technology INTI International UniversityNilaiMalaysia School of Medical and Life Sciences Sunway UniversitySunway CityMalaysia

Objective:To investigate the relationship between triterpenoid saponin content and antioxidant,antimicrobial,and α-glucosidase inhibitory activities of 70%ethanolic,butanolic,aqueous,supernate and precipitate extracts of Juglans regia ***:Triterpenoid saponins of different Juglans regia leaf extracts were measured by the vanillin *** activity was evaluated against DPPH and ABTS free *** also assessed α-glucosidase inhibitory and antimicrobial activities of the leaf ***’s correlation coefficient was evaluated to determine the correlation between the saponin content and biological ***:The butanolic extract was most effective against DPPH with an IC50of 6.63μg/mL,while the aqueous extract showed the highest scavenging activity against ABTS free radical with an IC50of 42.27μg/***’s correlation analysis indicated a strong negative correlation (r=-0.956) between DPPH radical scavenging activity (IC50) and the saponin content in the samples *** addition,the aqueous extract showed the best α-glucosidase inhibitory activity compared with other *** the extracts had fair antibacterial activity against Bacillus subtilis,Escherichia coli,and Klebsiella pneumoniae except for the aqueous ***:Juglans regia extracts show potent antioxidant,antimicrobial,and α-glucosidase inhibitory *** is a correlation between saponin levels in Juglans regia leaf extracts and the studied ***,additional research is required to establish these relationships by identifying the specific saponin molecules responsible for these activities and elucidating their mechanisms of action.

关键词： Juglans regia leaves Triterpenoid saponin Antioxidant activity DPPH ABTS Antidiabetic activity α-Glucosidase Antimicrobial activity

Selenium containing macrocycles:transformation between Se-N/Se-S/Se-Se bonds

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Science China Chemistry 2017年第9期60卷 1191-1196页

作者： Shaobo Ji hicham el Mard Mario Smet Wim Dehaen Huaping Xu Key Laboratory of Organic Optoelectronics and Molecular Engineering Department of ChemistryTsinghua UniversityBeijing 100084China Department of Chemistry University of LeuvenCelestijnenlaan 20OFB-3001 Heveriee(Leuven)Belgium

Macrocycles possess potential applications in supramolecular chemistry and *** development of new kinds of macrocycles is of ***,novel macrocycles containing Se-Se/Se-S bonds were synthesized via transformation between selenium related dynamic covalent bonds.A monomer containing two ebselen moieties was synthesized(M1).The Se-N bonds in M1 were reduced by dithiothreitol,forming Se-S linked dimer(D1).To realize the transformation from Se-S bonds to Se-Se bonds,guest molecules were added as template,triggering the formation of Se-Se linked dimer(D2).The formation of these two new kinds of macrocycles was determined by ~1H NMR and ^(77)Se NMR,and the necessity of guest molecules was also *** introduction of ebselen moieties and Se-S bonds or Se-Se bonds into macrocycles may endow it with new responsiveness and bioactivities,as well as new types of host-guest chemistry.

关键词： macrocycles, selenium, dynamic covalent bonds

天然硅藻土矿物的高值化利用:在批式和固定床反应器中去除水溶液中的阴离子染料

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Journal of Central South University 2022年第6期29卷 2084-2098页

作者： HADRI Mohamed el MRABET Imane CHAOUKI Zineb DRAOUI Khalid HAMDAOUI Mustapha DOUHRI Hikmat ZAITAN hicham Processes MaterialsEnvironment Laboratory(LPME)Faculty of Sciences and TechnologySidi Mohamed Ben Abdellah UniversityB.P.2202FezMorocco Laboratory MSI Faculty of SciencesAbdel Malek Essaadi UniversityB.P.2121M’hannech II93002TetouanMorocco

以摩洛哥硅藻土(ND)为低成本吸附剂,采用批式和柱式吸附法对污染水体中刚果红(CR)染料的去除效率进行研究。考察了实验条件(p H、吸附剂剂量和温度)对ND吸附CR的影响。实验结果表明,在15 g/L ND、p H=6、接触时间为3 h、温度为25℃的条... 详细信息

以摩洛哥硅藻土(ND)为低成本吸附剂,采用批式和柱式吸附法对污染水体中刚果红(CR)染料的去除效率进行研究。考察了实验条件(p H、吸附剂剂量和温度)对ND吸附CR的影响。实验结果表明,在15 g/L ND、p H=6、接触时间为3 h、温度为25℃的条件下,CR的吸附量为6.07 mg/g,拟二级吸附模型与实验动力学数据吻合较好,Langmuir等温线模型能较好地描述吸附平衡数据。再生实验结果表明,当以乙醇为洗脱剂时,ND的解吸率达到50%。此外,还研究了连续模式下的吸附过程。用Yoon-Nelson模型可以很好地解释穿透曲线。在25℃条件下,当吸附剂用量为0.114 g,CR浓度为6 mg/L,流量为1 m L/min时,吸附量可达5.71 mg/g。

关键词：刚果红吸附硅藻土固定床柱动力学模型

Comparative study on yields and quality parameters of argan oils extracted by conventional and green extraction techniques

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Grain & Oil Science and Technology 2021年第3期4卷 125-130页

作者： hicham Mechqoq Mohamed el Yaagoubi Svetlana Momchilova Fouad Msanda Noureddine el Aouad Department of Biology Faculty of SciencesIbn Zohr UniversityAgadir 80000Morocco Institute of Organic Chemistry with Centre of Phytochemistry Bulgarian Academy of SciencesSofia 1113Bulgaria Polydisciplinary Faculty of Larache University Abdelmalek EssaadiTetouanLarache 92000Morocco

Argan oil is most frequently sold as pure oil,which can be directly applied topically due to its cosmetological proprieties or ingested in order to provide several health ***'s also commonly mixed into a number of cosmetic products like shampoos,soaps and *** this study we aimed to improve the argan oil extraction yield and quality parameters by comparing the effects of different extraction *** kernel oils were extracted using four methods:mechanical cold press,Soxhlet extraction with n-hexane,supercritical fluid extraction(SFE),and enzyme assisted extraction with three different enzyme solutions cellulase(cellulast),pectinase(Pectinex)and a mixture of carbohydrase enzymes(Viscozyme®).The quality parameters was evaluated by determining the acid,peroxide and iodine values aswell as the extinction coefficients K_(232) and K_(270) as measures of conjugated dienes and trienes,*** results showed that the highest yield(66.37%±3.3%)was obtained by enzyme assisted extraction using the carbohydrases enzymes mixture(Viscozyme®),followed by Soxhlet extraction(59.5%±3.1%)and pectinase extraction(52.03%±3.55%).All argan oils samples obtained by the different methods showed a good oxidation stability,with acid,peroxide and iodine values lower than 0.8 mg/g,15 meq/kg and 110 g/100 g according to the official argan oil norm,*** results of argan oils quality parameters demonstrated that the enzyme extracted argan oils showed low oxidation,with the following quality parameters:acid values(0.4-0.6 mg/g),iodine values(95-100 g/100 g),dienes(K_(232)eld without affecting the oil *** enzyme extraction method may be a great alternative to solvent and cold press extractions for this eco-friendly processing approach.

关键词： Argan oil Cold press Soxhlet extraction Supercritical fluid extraction Enzyme assisted extraction