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Optimization Studies of Porous Carbon Preparation from Oil Shale Using Response Surface Methodology and Its Application for Phenol Adsorption

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Chemical Research in Chinese Universities 2020年第6期36卷 1339-1347页

作者： mansouri said MAJDOUBI Hicham HADDAJI Younesse TAMRAOUI Youssef ELACHABY Mounir MANOUN Bouchaib ABOURRICHE Abdelkrim HANNACHE Hassan OUMAM Mina Materials Science Energy and Nanoengineering Department(MSN) Mohammed VI Polytechnic University(UM6P)Lot 660-Hay Moulay Rachid43150 BenguerirMorocco LIMA T-Thermostructural Materials and Polymers Team Faculty of Science Ben M'sikUniversity HassanⅡof CasablancaBoulevard Cdt Driss HartiBP.7955Ben M'sikCasablancaMorocco Universite Hassan ler Laboratoire des Sciences des Materiauxdes Milieux et de la Modelisation(LS3M)FST SettatMorocco Laboratory Materials ProcessesEnvironment and QualityNational School of Applied SciencesSafiMorocco

This paper discusses the elaboration of adsorbents from oil *** experimental designs a response surface methodology(RSM),which has been applied to optimize the significant preparation factors,such as tempera-ture,time,and the activating agent *** results obtained from central composite design(CCD)revealed that the interaction between the factors was significant for the maximum quantity of adsorption(response).Planned results have shown that a maximum quantity of adsorption for methylene blue is 65 mg/g,which could be achieved with a temperature of 275℃over 2 h and a percentage of the activating agent of 45%.The predicted values agreed with the experimental finding,with a determination coefficient(R2)of *** model has been validated by experi-ments after conditions *** new material(RHO)was characterized by cation exchange capacity,zero charge pH,surface functions,X-ray fluorescence,specific surface area,and electron microscopy *** adsorption was determined using Langmuir,Freundlich and Temkin,which were used to describe the adsorption *** adsorption capacity of the material was about 263 mg/g,and the kinetic studies showed rapid adsorption.

关键词： Oil shale Activated carbon Adsorption Activation process Response surface methodology

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Investigation of Organic Matter Extraction from Moroccan Oil Shale

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Journal of Modern Physics 2023年第8期14卷 86-108页

作者： Abdelkrim Abourriche Abdelaziz Benhammou Younes Abouliatim Yassine Rakcho said mansouri Mossaab Mouiya Jones Alami Hassan Hannache Laboratory Materials Processes Environment and Quality National School of Applied Sciences Safi Morocco Laboratory of Process and Environmental Engineering (L. P. E. E) Higher School of Technology of Casablanca Hassan II University Casablanca Morocco LIMAT-Thermostructural Materials and Polymers Team Faculty of Science Ben M’sik Casablanca Morocco Department of Materials Science and Nanoengineering University of Mohamed VI Polytechnic Rabat Morocco

This study focuses on investigating the effect of various solvents on the supercritical extraction of organic matter from Moroccan oil shales, with the goal of determining the optimal operating conditions that result in a high yield of high-quality oil rich in aromatic compounds. The results of this study demonstrate that the extraction yield and quality of the extracted oil heavily depend on the chosen operating conditions for supercritical or subcritical extraction of organic matter from oil shale. Additionally, the study found that phenol can effectively degrade oil shale and enable extraction of nearly all the organic matter, even under mild conditions (T = 390˚C, P = 1.2 MPa, Time = 2.5 h. Furthermore, the oils obtained through this extraction process are of high quality, with a rich content of maltenes, and a higher concentration of aromatic compounds and lower levels of sulfur than those obtained using other solvents.

关键词： Moroccan Oil Shale Mineral Matter Sub/Supercritical Extraction Nature of Solvent Phenol

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Detection of internal crack growth in polyethylene pipe using guided wave ultrasonic testing

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Earthquake Engineering and Engineering Vibration 2024年第2期23卷 319-329页

作者： Jay Kumar Shah Hao Wang said El-Hawwat Centre of Advanced Infrastructure and Transportation RutgersThe State University of New JerseyNJ 08854USA Department of Civil and Environmental Engineering RutgersThe State University of New JerseyNJ 08854USA

Despite the success of guided wave ultrasonic inspection for internal defect detection in steel pipes,its application on polyethylene(PE)pipe remains relatively *** growth of internal cracks in PE pipe severely affects its pressure-holding capacity,hence the early detection of internal cracks is crucial for effective pipeline maintenance *** study extends the scope of guided wave-based ultrasonic testing to detect the growth of internal cracks in a natural gas distribution PE *** experiments and a finite element model were planned to study the wave-crack interaction at different stages of axially oriented internal crack growth with a piezoceramic transducer-based setup arranged in a pitch-catch *** dispersion analysis supplemented with preliminary experiments was performed to isolate the optimal inspection frequency,leading to the selection of the T(0,1)mode at 50-kHz for the investigation.A transmission index based on the energy of the T(0,1)mode was developed to trace the extent of simulated crack *** findings revealed an inverse linear correlation between the transmission index and the crack depth for crack growth beyond 20%crack depth.

关键词： polyethylene pipes internal cracks guided wave ultrasonic testing torsional modes finite element modeling

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Enhanced IDS with Deep Learning for IoT-Based Smart Cities Security

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Tsinghua Science and Technology 2024年第4期29卷 929-947页

作者： Chaimae Hazman Azidine Guezzaz said Benkirane Mourade Azrour Higher School of Technology Essaouira Cadi Ayyad UniversityMarrakesh 81000Morocco Faculty of Sciences and Technologies Moulay Ismail UniversityErrachidia 52000Morocco

Cyberattacks against highly integrated Internet of Things (IoT) servers, apps, and telecoms infrastructure are rapidly increasing when issues produced by IoT networks go unnoticed for an extended period. IoT interface attacks must be evaluated in real-time for effective safety and security measures. This study implements a smart intrusion detection system (IDS) designed for IoT threats, and interoperability with IoT connectivity standards is offered by the identity solution. An IDS is a common type of network security technology that has recently received increasing interest in the research community. The system has already piqued the curiosity of scientific and industrial communities to identify intrusions. Several IDSs based on machine learning (ML) and deep learning (DL) have been proposed. This study introduces IDS-SIoDL, a novel IDS for IoT-based smart cities that integrates long shortterm memory (LSTM) and feature engineering. This model is tested using tensor processing unit (TPU) on the enhanced BoT-IoT, Edge-IIoT, and NSL-KDD datasets. Compared with current IDSs, the obtained results provide good assessment features, such as accuracy, recall, and precision, with approximately 0.9990 recording time and calculating times of approximately 600 and 6 ms for training and classification, respectively.

关键词： intrusion detection LSTM IoT security ML DL TPU

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Classifying Modulations in Communication Intelligence Using Deep Learning Networks

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Journal of Systems Science and Information 2024年第3期12卷 379-392页

作者： Yahya BENREMDANE said JAMAL Oumaima TAHERI Jawad LAKZIZ said OUASKIT Department of Physics Faculty of Science Ben M'sikUniversity HassanⅡCasablanca 20100Morocco

The present research employs artificial intelligence to come up with an automatic solution for the modulation's classification of various radio signal *** a result,the work we performed involved selecting the database required for supervised deep learning,evaluating the performance of current techniques on unprocessed communication signals,and suggesting a deep learning networkbased method that would enable the classification of modulation types with the best possible ratio between computation time and *** started by examining the automatic classification models that are currently in *** light of the difficulty of forecasting in low Signal Noise Ratio(SNR)situations,we suggested an ensemble learning strategy based on adjusted Res Net and Transformer Neural Network,which is effective at extracting multi-scale features from the raw I/Q sequence ***,we produced an architecture that is simple to use and apply to communication *** architecture of this solution is strong and optimal,enabling it to determine the type of modulation with up to 95%accuracy automatically.

关键词： automatic modulation classification artificial intelligence deep learning radio frequency electronicwarfare

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Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections

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Computers, Materials & Continua 2024年第5期79卷 1995-2014页

作者： Dmitry Gura Bo Dong Duaa Mehiar Nidal Al said Department of Cadastre and Geoengineering Kuban State Technological UniversityKrasnodar350072Russian Federation Department of Geodesy Kuban State Agrarian UniversityKrasnodar350072Russian Federation School of Innovation and Entrepreneurship Liaoning UniversityLiaoning110031China Department of IT Middle East UniversityAmman11831Jordan College of Mass Communication Ajman UniversityP.O Box 346AjmanUnited Arab Emirates

The motivation for this study is that the quality of deep fakes is constantly improving,which leads to the need to develop new methods for their *** proposed Customized Convolutional Neural Network method involves extracting structured data from video frames using facial landmark detection,which is then used as input to the *** customized Convolutional Neural Network method is the date augmented-based CNN model to generate‘fake data’or‘fake images’.This study was carried out using Python and its *** used 242 films from the dataset gathered by the Deep Fake Detection Challenge,of which 199 were made up and the remaining 53 were *** seconds were allotted for each *** were 318 videos used in all,199 of which were fake and 119 of which were *** proposedmethod achieved a testing accuracy of 91.47%,loss of 0.342,and AUC score of 0.92,outperforming two alternative approaches,CNN and ***,our method succeeded in greater accuracy than contemporary models such as XceptionNet,Meso-4,EfficientNet-BO,MesoInception-4,VGG-16,and *** novelty of this investigation is the development of a new Convolutional Neural Network(CNN)learning model that can accurately detect deep fake face photos.

关键词： Deep fake detection video analysis convolutional neural network machine learning video dataset collection facial landmark prediction accuracy models

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Evaluation of urea breath test as a diagnostic tool for Helicobacter pylori infection in adult dyspeptic patients

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World Journal of Gastroenterology 2024年第17期30卷 2302-2307页

作者： Zeinab Nabil Ahmed said Asmaa Mohamed El-Nasser Department of Medical Microbiology&Immunology Faculty of Medicine for Girls Al-Azhar UniversityNasr City 11754CairoEgypt

In this editorial,we discuss the article in the World Journal of *** article conducts a meta-analysis of the diagnostic accuracy of the urea breath test(UBT),a non-invasive method for detecting Helicobacter pylori(***)infection in *** is based on radionuclide-labeled *** methods,both invasive and non-invasive,are available for diagnosing *** infection,inclu-ding endoscopy with biopsy,serology for immunoglobulin titers,stool antigen analysis,and *** guidelines recommend UBTs as the primary choice for diagnosing *** infection and for reexamining after eradication *** is used to be the first choice non-invasive test due to their high accuracy,specificity,rapid results,and ***,its performance remains unaffected by the distribution of *** in the stomach,allowing a high flow of patients to be *** its widespread use,the performance characteristics of UBT have been inconsistently described and remain incompletely *** are two UBTs available with Food and Drug Administration approval:The 13C and 14C *** tests are affordable and can provide real-time *** may prefer the 13C test because it is non-radioactive,compared to 14C which uses a radioactive isotope,especially in young children and pregnant *** there was heterogeneity among the studies regarding the diagnostic accuracy of both UBTs,13C-UBT consistently outperforms the *** makes the 13C-UBT the preferred diagnostic ***,the provided findings of the meta-analysis emphasize the significance of precise considerations when choosing urea dosage,assessment timing,and measurement techniques for both the 13C-UBT and 14C-UBT,to enhance diagnostic precision.

关键词： Helicobacter pylori Urea breath test Diagnosis Diagnostic test accuracy Meta-analysis

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Comparison of ERA5 turbulent fluxes at the air-sea interface with measurements from a wave-following platform

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Atmospheric and Oceanic Science Letters 2024年第3期17卷 32-36页

作者： said Benjeddou Denis Bourras Christopher Luneau Aix Marseille Universite National Center for Scientific ResearchMediterranean Institute of OceanographyMarseilleFrance Observatory of the Sciences of the Universe Pytheas Institute National Center for Scientific ResearchMarseilleFrance

Turbulent fluxes at the air-sea interface were estimated with data collected in 2011-2020 with a low-profile platform named OCARINA during eight experiments in five regions:2011,2015,and 2016 in the Iroise Sea;2012 in the tropical Atlantic;2014 in the Chilie-Peru upwelling;2017 and 2018 in the Mediterranean Sea,and 2018 and 2020 in *** observations were carried out with moderate winds(2-10 m s^(-1))and average wave heights of 1.5 *** this study,the authors used the fluxes calculated by the bulk method using OCARINA-sampled data as the *** data can validate the fluxes estimated from ERAS reanalysis *** OCARINA and ERA5 data were taken *** do this,the authors established an algorithm to extract the OCARINA data as closely as possible to the reanalysis data in time and *** measurements of the OCARINA platform can conclude on the relevance of the widely used reanalysis data.

关键词： Ocarina ECMWF ERA5 Turbulent fluxes Louis formulation

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Mapping lineaments using Landsat 8 OLI and SRTM data;a case study of the eastern part of the Ouarzazate Basin,Morocco

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Journal of Mountain Science 2024年第3期21卷 987-1003页

作者： MOUJANE said ALGOUTI Ahmed ALGOUTI Abdellah FARAH Abdelouahed ABOULFARAJ Abdelfatah NAFOURI Imane Geoscience Geotourism Natural Hazards and Remote Sensing Laboratory(2GRNT) Department of GeologyFaculty of Sciences SemlaliaUniversity of Cadi AyyadBP 239040000MarrakechMorocco

The integration of remote sensing and geographic information system(GIS)was employed in this study to delineate the structural lineaments within the eastern section of the Ouarzazate Basin,situated between the southern front of the Central High Atlas and the northern slopes of the Eastern Anti-Atlas(also known as the Saghro Massif).To achieve this objective,Landsat 8 Operational Land Imager(OLI)and Shuttle Radar Topography Mission(SRTM)data were *** Component Analysis(PCA)was computed and a directional filter was applied to the first PCA and the panchromatic band(B8).Additionally,shading was applied to the SRTM data in four directions;N0°,N45°,N90°,N135°.After removing of the non-geological linear structures,the results obtained,using the automatic extraction method,allowed us to produce a synthetic map that included 1251 lineaments with an average length of 1331 m and was dominated by NE-SW,ENE-WSW and E-W directions,***,the high lineament density is clearly noted in the Anti-Atlas(Saghro Massif)and at the level of the northern part,extending from the Ait Ibrirne to Arg-Ali Oubourk *** lineament density can always be found around the major faults affecting this *** data collected during the field investigations and from geological maps show that the major direction of the faults and structural accidents range mostly between N45°,N70°and N75°.The correlation of remote sensing results with those collected in the field shows a similarity and coincidence with each *** these results,it is possible to consider the automatic extraction method as a supplementary kind that can serve classical geology by quickly enriching it with additional *** shown in this work,this method provides more information when applied in arid areas where the fields are well outcropped.

关键词： Remote sensing GIS Landsat 8 OLI SRTM Ouarzazate Basin Central High Atlas

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Assessing Food Waste Practices and Implementing an Awareness Campaign at Hainan Tropical Ocean University: A Holistic Approach to Minimize Environmental and Economic Impact

Assessing Food Waste Practices and Implementing an Awareness...

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作者： MOUGHNI said MAENROUF 海南热带海洋学院

学位级别：硕士

全球粮食危机使得减少食物浪费成为研究和实践的重要领域,特别是在食物浪费问题较为严重的海南热带海洋大学(HNTOU)食堂。本研究的主要目的是从预防、行为、态度和意识等角度,调查海南热带海洋大学学生对食物浪费实践的情况。为此,我们... 详细信息

全球粮食危机使得减少食物浪费成为研究和实践的重要领域,特别是在食物浪费问题较为严重的海南热带海洋大学(HNTOU)食堂。本研究的主要目的是从预防、行为、态度和意识等角度,调查海南热带海洋大学学生对食物浪费实践的情况。为此,我们调查了来自中国不同地区的528名学生,以评估他们对食物浪费管理的态度、知识和实践。结果显示,参与者的食物消费模式在受教育程度、性别或中国地理起源方面没有显著差异。然而,不同教育水平和性别之间在食物浪费理解上存在显著区别。性别之间也存在购物习惯的显著差异。但是,学生们对不同的食物浪费管理方法的认识存在差异。观察到学生们对参与减少食物浪费的活动感兴趣,这表明通过教育和媒体努力提高意识具有积极影响。本研究的第二个目的是确定大学食堂中年轻学生的食物浪费产生情况。本研究识别了影响大学食堂食物浪费的多个维度,包括物质、经济、心理、社会、文化和健康等方面。研究结果不仅验证了之前的一些发现,还补充了一些之前未被发现的新因素。研究的第三个目标是通过FW(减少食物浪费)宣传活动努力减少食物浪费。该宣传活动在HNTOU食堂进行了试点。“空盘,满口袋!”活动是一项直接且成本效益高的教育活动,旨在提高大家对减少餐盘浪费的认识,通过展示食物浪费与其经济和环境影响之间的联系。我们结合了直接称重和问卷调查,制定了一种方法来评估食物浪费的环境和经济影响成本,并识别了关键影响因素。这些都是基于两种不同餐厅服务风格(自助餐厅SS和桌边服务餐厅TS)的观察。研究发现,80%的食物浪费是由于对食物味道的不满意。该宣传活动显著减少了人均食物浪费,自助餐厅减少了83%,桌边服务餐厅减少了68%。总食物浪费量减少了50%。在环境和经济方面均观察到显著的减少,使我们能够确定减少食物浪费的策略并识别出循环中的关键关注领域。本研究认为,食物浪费嵌入在一个复杂的社会文化环境中,因此很难采取简单直接的管理措施来减少浪费。应该采取措施提高消费者对节俭和生态保护的意识,同时提高所供应食物的质量和口感。这些发现可以为全国范围内的可持续食物浪费管理实践提供启示,强调宣传活动在促进可持续餐饮实践方面的有效性。

关键词：食物浪费意识行为预防食物浪费管理食堂经济宣传活动

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