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Journal of Intensive Medicine 2024年第3期4卷 400-402页

作者： Martin Gérard Clair Douillard Julien Poissy mehdi marzouk Christophe Vinsonneau Intensive Care Unit Centre Hospitalier de Bethune-BeuvryBethuneFrance Endocrinology diabetologymetabolism departmentLille reference centre of inborn errors of metabolismLille University HospitalLilleFrance Inserm U1285 CHU LillePôle de réanimationCNRSUMR 8576-UGSF-Unitéde Glycobiologie Structurale et FonctionnelleUniv.LilleLilleFrance

Introduction A 21-year-old woman presented to the emergency department with fatigue,abdominal pain and *** physical activity in school was strictly *** had no family medical history and no personal history but reported frequent episodes of nausea and vomiting lasting 2 to 7 days during the past two years,as well as a weight loss of 9 kg due to reactive anorexia(Body Mass Index 17.5),without triggering factors or *** gastrointestinal symptoms led to the detection of isolated elevated transaminases(aspartate aminotransferase[AST]190 U/L and alanine aminotransferase[ALT]170 U/L);however,the patient did not pursue the proposed etiological *** has been using cannabis once a day for several years,with an increase in consumption over the past year,but no *** reported no other recent change in her habits.

关键词： diagnosis patient elevated

Chaotic Elephant Herd Optimization with Machine Learning for Arabic Hate Speech Detection

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Intelligent Automation & Soft Computing 2024年第3期39卷 567-583页

作者： Badriyya B.Al-onazi Jaber S.Alzahrani Najm Alotaibi Hussain Alshahrani Mohamed Ahmed Elfaki Radwa marzouk Heba Mohsen Abdelwahed Motwakel Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMecca24382Saudi Arabia Prince Saud AlFaisal Institute for Diplomatic Studies Riyadh12735Saudi Arabia Department of Computer Science College of Computing and Information TechnologyShaqra UniversityShaqra11911Saudi 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 Egypt New CairoNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipAl-Kharj16278Saudi Arabia

In recent years,the usage of social networking sites has considerably increased in the Arab *** has empowered individuals to express their opinions,especially in ***,various organizations that operate in the Arab countries have embraced social media in their day-to-day business activities at different *** is attributed to business owners’understanding of social media’s importance for business ***,the Arabic morphology is too complicated to understand due to the availability of nearly 10,000 roots and more than 900 patterns that act as the basis for verbs and *** speech over online social networking sites turns out to be a worldwide issue that reduces the cohesion of civil *** this background,the current study develops a Chaotic Elephant Herd Optimization with Machine Learning for Hate Speech Detection(CEHOML-HSD)model in the context of the Arabic *** presented CEHOML-HSD model majorly concentrates on identifying and categorising the Arabic text into hate speech and *** attain this,the CEHOML-HSD model follows different sub-processes as discussed *** the initial stage,the CEHOML-HSD model undergoes data pre-processing with the help of the TF-IDF ***,the Support Vector Machine(SVM)model is utilized to detect and classify the hate speech texts made in the Arabic ***,the CEHO approach is employed for fine-tuning the parameters involved in *** CEHO approach is developed by combining the chaotic functions with the classical EHO *** design of the CEHO algorithm for parameter tuning shows the novelty of the work.A widespread experimental analysis was executed to validate the enhanced performance of the proposed CEHOML-HSD *** comparative study outcomes established the supremacy of the proposed CEHOML-HSD model over other approaches.

关键词： Arabic language machine learning elephant herd optimization TF-IDF vectorizer hate speech detection

Analysing user daylight preferences in heritage buildings using virtual reality

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Building Simulation 2022年第9期15卷 1561-1576页

作者： Mohamed marzouk Maryam ElSharkawy Ayman Mahmoud Department of Structural Engineering Faculty of EngineeringCairo University12613GizaEgypt Department of Architecture Engineering Faculty of EngineeringCairo University12613GizaEgypt

Technology has always been creating effective ways to support human *** virtual reality(IVR)has emerged to engage users in a simulated world,and this has gained the interest of a wide variety of users in the heritage industry.A historical case study built in the early 19th century is considered for an adaptive reuse *** palace is located in Cairo,Egypt,and named after Prince Omar *** current palace state incorporates a smashed top-lit zone,which is being studied and analyzed for daylighting *** simulated distinct optimum skylight configurations are suggested for the redesign where the selection should not be based solely on simulation data,but should consider real-user *** daylight design criteria are previously based on simulation data that do not necessarily indicate the users'*** utilizing user interactive tools such as IVR to test daylight redesign options,a whole new dimension is *** this study,the VR users’survey data is statistically analyzed using Statistical Package for Social Sciences(SPSS),where results revealed that the assessment attributes succeeded in reflecting the users'preferences;which,motivated designers to consider potential users’daylight preferences in reused *** paper highlights the most significant emotional attributes that provide cost-effective and reliable information concerned with the performance of daylight in IVR before design *** study compares and analyzes the effect of three skylight designs(Cases A,B&C)on the users'perception before design implementation using(IVR)***-eight participants have contributed to the study,providing their feedback on six attributes namely:Pleasant,Contrasting,Brightness,Uniform Distribution,Visual Comfort,and *** attributes are evaluated for the three cases in space using five scale rating values to reveal that the"Pleasant"attribute is most reliable in the study to reflect th

关键词： daylight preferences heritage buildings rehabilitation immersive virtual reality statistical analysis

A Stochastic Collocation Approach to Bayesian Inference in Inverse Problems

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Communications in Computational Physics 2009年第9期6卷 826-847页

作者： Youssef marzouk Dongbin Xiu Department of Aeronautics&Astronautics Massachusetts Institute of TechnologyCambridgeMA 02139USA Department of Mathematics Purdue UniversityWest LafayetteIN 47907USA

We present an efficient numerical strategy for the Bayesian solution of inverse *** collocation methods,based on generalized polynomial chaos(gPC),are used to construct a polynomial approximation of the forward solution over the support of the prior *** approximation then defines a surrogate posterior probability density that can be evaluated repeatedly at minimal computational *** ability to simulate a large number of samples from the posterior distribution results in very accurate estimates of the inverse solution and its associated *** with high accuracy of the gPC-based forward solver,the new algorithm can provide great efficiency in practical applications.A rigorous error analysis of the algorithm is conducted,where we establish convergence of the approximate posterior to the true posterior and obtain an estimate of the convergence *** is proved that fast(exponential)convergence of the gPC forward solution yields similarly fast(exponential)convergence of the *** numerical strategy and the predicted convergence rates are then demonstrated on nonlinear inverse problems of varying smoothness and dimension.

关键词： Inverse problems Bayesian inference stochastic collocation generalized polynomial chaos uncertainty quantification

Numerical investigation of velocity ratio effect in combined wall and offset jet flows

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Journal of Hydrodynamics 2018年第6期30卷 1105-1119页

作者： Nidhal Hnaien Salwa marzouk Habib Ben Aissia Jacques Jay Unité de Métrologie et des systèmes énergétiques Ecole National d'ingénieurs de Monastir Tunisie Centre de Thermique de Lyon (CETHIL-UMR CNRS 5008) INSA de Lyon France

In the present work, we propose to numerically study a combined turbulent wall and offset jet flow(this combination will be denoted WOJ). Several turbulence models were tested in this study: the standard k-w, SST k-w, standard k-ε, RNG, and realizable k-ε model. A parametric study was performed to determine the effect of offset ratio H and the velocity ratio r on the longitudinal and transverse positions of the merge point(MP), the combined point(CP), the upper vortex center(UVC) and the lower vortex center(LVC). Correlations that predict the position of these characteristic points of the WOJ flow as a function of H and r have been provided. Results show that any increase in the velocity ratio causes a displacement of the MP, CP, UVC and LVC further upstream along the longitudinal direction. Concerning the transverse positions, the increase of velocity ratio results in a deviation of the merge point(MP) and the lower vortex center(LVC) toward the strong jet(LWJ) whereas the transverse position of combined point(CP) and the upper vortex center(UVC) is almost independent of the velocity ratio.

关键词： Finite volume combined point merge point offset jet velocity ratio

Replacement of alkali silicate solution with silica fume in metakaolin-based geopolymers

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International Journal of Minerals,Metallurgy and Materials 2019年第5期26卷 555-564页

作者： Ahmed Nmiri Myriam Duc Noureddine Hamdi Oumaya Yazoghli-marzouk Ezzeddine Srasra National Center for Research in Materials Sciences Technop?le Borj Cedria (CNRSM) Department of Chemistry Faculty of Sciences of Tunis University of Tunis El-Manar French Institute of Science and Technology for Transport Development and Networks (IFSTTAR) Center for Studies and Expertise on Risks Environment Mobility and Development (CEREMA)

A metakaolin(Mk)-based geopolymer cement from Tunisian Mk mixed with different amounts of silica fume(SiO_2/Al_2O_3 molar ratio varying between 3.61 and 4.09) and sodium hydroxide(10M) and without any alkali silicate solution, is developed in this work. After the samples were cured at room temperature under air for 28 d, they were analyzed by X-ray diffraction(XRD), Fourier transform infrared(FTIR) spectroscopy, environmental scanning electron microscopy, mercury intrusion porosimetry, ^(27)Al and ^(29)Si nuclear magnetic resonance(NMR) spectroscopy, and compression testing to establish the relationship between microstructure and compressive strength. The XRD, FTIR, and ^(27)Al and ^(29)Si NMR analyses showed that the use of silica fume instead of alkali silicate solutions was feasible for manufacturing geopolymer cement. The Mk-based geopolymer with a silica fume content of 6 wt%(compared with those with 2% and 10%), corresponding to an SiO_2/Al_2O_3 molar ratio of 3.84, resulted in the highest compressive strength, which was explained on the basis of its high compactness with the smallest porosity. Silica fume improved the compressive strength by filling interstitial voids of the microstructure because of its fine particle size. In addition, an increase in the SiO_2/Al_2O_3 molar ratio, which is controlled by the addition of silica fume, to 4.09 led to a geopolymer with low compressive strength, accompanied by microstructures with high porosity. This high porosity, which is responsible for weaknesses in the specimen, is related to the amount of unreacted silica fume.

关键词： metakaolin silica fume geopolymer cement compressive strength

Effects of Cadmium on Polar Lipid Composition and Unsaturation in Maize(Zea mays) in Hydroponic Culture

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Journal of Integrative Plant Biology 2007年第12期49卷 1693-1702页

作者： Radhouane Chaffai Tinni Nouhou Seybou Brahim marzouk Ezzedine EI Ferjani Laboratoire de Bio-Physiologie Cellulaires Vegetales Faculte des Sciences de Bizerte 7021 Zarzouna-BizerteTunisie Laboratoire ERTAC Physiologie et Genetique Vegetales 63177 AubiereClermont FerrandFrance Laboratoire d'Adaptation et d'Amelioration des Plantes Institut National de la Recherche Scientifique et Technique(INRST)BP 95-2050 Hammam-LifTunisie

This study aimed to evaluate the effect of Cd exposure （100 μmol/L） on polar lipid composition, and to examine the level of fatty acid unsaturation in maize （Zea mays L.）. In roots, the level of 16：0 and monounsaturated fatty acids （16：1 ＋ 18：1） decreased in phosphatidylcholine （PC） and phosphatidylethanolamine （PE）. In contrast, the proportion of unsaturated 18-C fatty acid species showed an opposite response to Cd. The content, on the other hand, of PC, PE, digalactosyldiacylglycerol （DGDG）, and steryl lipids increased in roots （2.9-, 1.6-, 5.3-, and 1.7-fold increase, respectively）. These results suggest that a more unsaturated fatty acid composition than found in control plants with a concomitant increase in polar lipids may favor seedling growth during Cd exposure. However, the observed increase in the steryl lipid （SL）： phospholipid （PL） ratio （twofold）, the decrease in monogalactosyldiacylglycerol （MGDG）： DGDG ratio, as well as the induction of lipid peroxidation in roots may represent symptoms of membrane injury. In shoots, the unsaturation level was markedly decreased in PC and phosphatidylglycerol （PG） after Cd exposure, but showed a significant increase in sulfoquinovosyldiacylglycerol （SQDG）, MGDG and DGDG. The content of PG and MGDG was decreased by about 65%, while PC accumulated to higher levels （4.4-fold increase）. Taken together, these changes in the polar lipid unsaturation and composition are likely to be due to alterations in the glycerolipid pathway. These results also support the idea that the increase in overall unsaturation plays some role in enabling the plant to withstand the metal exposure.

关键词： cadmium fatty acids heavy metal stress lipid peroxidation polar lipids unsaturation level Zea mays.

Modeling of Combined Economic and Emission Dispatch Using Improved Sand Cat Optimization Algorithm

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Computers, Materials & Continua 2023年第6期75卷 6145-6160页

作者： Fadwa Alrowais Jaber S.Alzahrani Radwa marzouk Abdullah Mohamed Gouse Pasha Mohammed Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMecca24382Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Combined Economic and Emission Dispatch(CEED)task forms multi-objective optimization problems to be resolved to minimize emission and fuel *** disadvantage of the conventional method is its incapability to avoid falling in local optimal,particularly when handling nonlinear and complex *** have recently received considerable attention due to their enhanced capacity to prevent local optimal solutions in addressing all the optimization problems as a black ***,this paper focuses on the design of an improved sand cat optimization algorithm based CEED(ISCOA-CEED)*** ISCOA-CEED technique majorly concen-trates on reducing fuel costs and the emission of generation ***,the presented ISCOA-CEED technique transforms the equality constraints of the CEED issue into inequality ***,the improved sand cat optimization algorithm(ISCOA)is derived from the integration of tra-ditional SCOA with the Levy Flight(LF)*** last,the ISCOA-CEED technique is applied to solve a series of 6 and 11 generators in the CEED *** experimental validation of the ISCOA-CEED technique ensured the enhanced performance of the presented ISCOA-CEED technique over other recent approaches.

关键词： Economic and emission dispatch multi-objective optimization metaheuristics fuel cost minimization sand cat optimization

Sign Language Recognition and Classification Model to Enhance Quality of Disabled People

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Computers, Materials & Continua 2022年第11期73卷 3419-3432页

作者： Fadwa Alrowais Saud S.Alotaibi Sami Dhahbi Radwa marzouk Abdullah Mohamed Anwer Mustafa Hilal Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia University of Tunis EL Manar Higher Institute of ComputerResearch Team on Intelligent Systems in Imaging and Artificial Vision(Siiva)–Lab LimticAryanah2036Tunisia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Research Centre Future University in EgyptNew Cairo11745Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

Sign language recognition can be considered as an effective solution for disabled people to communicate with *** helps them in conveying the intended information using sign languages without any *** advancements in computer vision and image processing techniques can be leveraged to detect and classify the signs used by disabled people in an effective *** optimization algorithms can be designed in a manner such that it fine tunes the hyper parameters,used in Deep Learning(DL)models as the latter considerably impacts the classification *** this motivation,the current study designs the Optimal Deep Transfer Learning Driven Sign Language Recognition and Classification(ODTL-SLRC)model for disabled *** aim of the proposed ODTL-SLRC technique is to recognize and classify sign languages used by disabled *** proposed ODTL-SLRC technique derives EfficientNet model to generate a collection of useful feature *** addition,the hyper parameters involved in EfficientNet model are fine-tuned with the help of HGSO ***,Bidirectional Long Short Term Memory(BiLSTM)technique is employed for sign language *** proposed ODTL-SLRC technique was experimentally validated using benchmark dataset and the results were inspected under several *** comparative analysis results established the superior performance of the proposed ODTL-SLRC technique over recent approaches in terms of efficiency.

关键词： Sign language image processing computer vision disabled people deep learning parameter tuning

Deep Consensus Network for Recycling Waste Detection in Smart Cities

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Computers, Materials & Continua 2023年第5期75卷 4191-4205页

作者： Manar Ahmed Hamza Hanan Abdullah Mengash Noha Negm Radwa marzouk Abdelwahed Motwakel Abu Sarwar Zamani Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz University16278AlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science and ArtsKing Khalid UniversityMahayil Asir62529Saudi Arabia

Recently,urbanization becomes a major concern for developing as well as developed *** to the increased urbanization,one of the important challenging issues in smart cities is waste ***,automated waste detection and classification model becomes necessary for the smart city and to accomplish better recyclable waste *** recycling of waste offers the chance of reducing the quantity of waste disposed to the land fill by minimizing the requirement of collecting raw *** study develops a novel Deep Consensus Network with Whale Optimization Algorithm for Recycling Waste Object Detection(DCNWORWOD)in Smart *** goal of the DCNWO-RWOD technique intends to properly identify and classify the objects into recyclable and non-recyclable *** proposed DCNWO-RWOD technique involves the design of deep consensus network(DCN)to detect waste objects in the input *** improving the overall object detection performance of the DCN model,the whale optimization algorithm(WOA)is ***,Na飗e Bayes(NB)classifier is used for the classification of detected waste objects into recyclable and non-recyclable *** performance validation of theDCNWO-RWOD technique takes place using the open access *** extensive comparative study reported the enhanced performance of the DCNWO-RWOD technique interms of several measures.

关键词： Smart city waste management object detection recycling deep consensus network