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Surface modification techniques of membranes to improve their antifouling characteristics:recent advancements and developments

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Frontiers of Chemical Science and Engineering 2023年第12期17卷 1837-1865页

作者： Muhammad Tawalbeh Haya aljaghoub Muhammad Qasim amani al-othman Sustainable and Renewable Energy Engineering Department University of SharjahSharjah 27272United Arab Emirates Sustainable Energy&Power Systems Research Centre RISEUniversity of SharjahSharjah 27272United Arab Emirates Industrial Engineering and Engineering Management Department University of SharjahSharjah 27272United Arab Emirates Department of Chemical and Biological Engineering American University of SharjahSharjah 26666United Arab Emirates Materials Science and Engineering Program College of Arts and SciencesAmerican University of SharjahSharjah 26666United Arab Emirates

Extensive research efforts are currently devoted to developing and improving conventional technologies for water treatment. Membrane-based water treatment technologies are among the most preferred options due to their commercial success, simple operation, low energy and space requirements, and high separation efficiency. Despite the advances made in membrane-based technologies, fouling remains a critical challenge. Fouling occurs upon the accumulation of unwanted impurities on the membrane surface and within the membrane pores which results in a significant decline in the membrane permeate flux. To alleviate the operational challenges from fouling, surface modification to develop antifouling membranes appears to be an effective technique. A comprehensive review of the surface modification techniques for the development of antifouling membranes is provided in this paper. Chemical surface modification techniques (grafting and plasma treatment), physical modification techniques (blending, coating, adsorption, and thermal treatment), and combined physical and chemical modification techniques have been discussed. Moreover, the challenges related to surface modification and the future research directions are addressed.

关键词： fouling antifouling membrane surface modification membrane pretreatment

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Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more

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Energy and AI 2021年第3期5卷 375-378页

作者： Waad Abuwatfa Nada Zamel amani al-othman Department of Chemical Engineering American University of SharjahSharjahUAE Fraunhofer Institute for Solar Energy Systems ISEFreiburgGermany

The participation of women science,technology,engineering and mathematics(STEM)and energy fields is essential in advancing knowl-edge,securing economic growth,promoting prosperity and contribut-ing to the well-being of *** the number of women in-volved in STEM fields has recently witnessed an increase in compar-ison to their natural counterparts,the“leaky pipeline”metaphor still applies.A greater number of women“leak out”and leave the educa-tional and professional pipelines at every stage of their lives,transition-ing from school to university to their careers,than men[1].The epitome of gender differences in the fields of STEM and energy industry can be captured by the disparities in representation of women in publications,salaries,senior rankings,annual productivity and resources allocation[2].

关键词： learned senior publications

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也门共和国妇女权利与政治参与研究

也门共和国妇女权利与政治参与研究

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作者：阿玛尼（amani MOHAMMED othman al-JABalI）吉林大学

学位级别：硕士

人类社会不断发展，呈现着日新月异的变化，同时，女性的权利问题也出现了从未有过的变化。他们的生存与发展是判断这个时代进步或倒退的一个因素，因此，应关注女性，重视社会中的女性需求，保护他们的各项权利。传统的平等权利观认为... 详细信息

人类社会不断发展，呈现着日新月异的变化，同时，女性的权利问题也出现了从未有过的变化。他们的生存与发展是判断这个时代进步或倒退的一个因素，因此，应关注女性，重视社会中的女性需求，保护他们的各项权利。传统的平等权利观认为，作为公民的主体之一，女性应得到同男性一样的法律层面的保障，这也是法律面前人人平等的一个重要体现。人权和一般女性的权利逐渐引起越来越多的兴趣，同时也门女性也正在扮演越来越重要的角色，他们同男性一起在不同领域发挥着他们的作用，因此有必要按照伊斯兰法律和也门共和国的民主制度探讨女性权利，以及他们在加强女性权利和政治参与中扮演的角色。也门女性遭仍然遭受暴政和不公正地对待，因为他们的公民权、经济权和社会权利受到侵犯，同时他们的政治实践权利也被阻止。由于也门女性的政治参与率还很低，了解伊斯兰法律和民主制度对女性权利和他们的政治参与的立场，以及影响女性权利、政治参与的因素是非常重要的。本文的研究涉及以下几个问题：伊斯兰法律中，女性权利以及他们的政治参与的地位如何;民主制度对于加强女性权利和政治参与作用，以及破坏女性权利及其政治参与的因素。本文使用历史研究方法，描述研究方法和数值研究方法，目的是讨论伊斯兰法律和民主制度中女性权利和政治参与的地位，以及他们对于加强女性权益、政治参与的作用。该研究分为为代表下面的五个主要章节。第一部分是关于本文关于人类和女性权利研究的理论背景，以及研究意义、研究方法、工具、论文结构和前人研究的讨论。关于人权没有具体和全面的定义，但它继承了伊斯兰法确立的帮助人们和平与尊严生活的特点。人权这一观点在古代的想法是模糊的，但它随着社区的组成开始出现，特别是当暴政蔓延、独裁统治出现后。在18世纪，各种哲学家如卢梭，约翰·斯图亚特·穆勒和约翰·洛克采用了自然权利这一理论。这一理论以社会契约为基础，主要来自于人权理论资源。美国，法国，英国革命和社会主义运动，以将人民从暴政和独裁中解放的为目的，他们在保障、发展人权中发挥了重要作用。第一次和第二次世界大战后，签署了很多协议和公约，这有助于保护人类的权利和尊严免受侵犯。发达国家推迟了承认女性权利和他们政治参与，直到它在1920年被美国、1928年被英国以及第二次世界大战后被法国所确认自19世纪初，女性问题的出现引起了这方面的需要，旨在改善他们的状况。保护女性合法权益的努力一直继续，并且签署了多个国际协定。因此，西方女性运动在维护女性权利、摆脱男性对女性不平等的统治关系中取得了重大作用。女性权利表面看似简单，具有明确的研究对象和研究基础，但其涉及庞大的理论基础和复杂的现实环境。文章第二部分讨论了犹太教，基督教和伊斯兰教法中的人权和女性权利。犹太教和基督教中，上帝制定法律而提高人类的地位和尊重他们的权利。但这些法律被扭曲了，因此，人权被侵犯、女性的政治实践权利被剥夺。在公元7世纪，伊斯兰教的出现赋予了人权和女性权利新的概念。伊斯兰教平等地对待所有人并且捍卫他们的权利，这后来也在国际社会以及法律所要求。伊斯兰教约中赋予女性和男性同等的社会地位，并尊崇女性作为母亲，妻子，姐妹和女儿。它认为女性应该像男性一样享有自身在社会和经济权利方面，如生命权，荣誉权、所有权和财务资格、继承权、言论自由、思想和宗教的权利、教育权和工作的权利。在政治权利方面，伊斯兰法律并没有区分男女之间在政治实践权利上的区别，除了那些涉及到男性女性天生的不同之处的权利。在早期的伊斯兰教中，穆斯林女性在政治方面并没有工作，也没有参与伊斯兰国家政权的经历，他们的工作仅仅被限制在家庭中。西方文明的支持者一直在要求女性的政治权利应同男性一样。女性得到选举权和选举提名，并得到了在国家事务中担任领导职务的权利。关于女性的投票权，伊斯兰法律给予女性在选举中投票的权利并且也没有禁止他们自由选择，这是为了捍卫他们作为共同体公民所享有的权利。伊斯兰法律也赋予女性被提名为国会议员的权利。女性拥有代表男性公民和女性公民的权利，且没有男女之间的区别，只要他们具有相应的能力。女性参与议会委员会在提名是他们的政治权利、他们的资格，并且同他们性格的独立性是一致的。然而，伟大的伊斯兰教的法学家对女性在国家的领导地位，例如作为一个国家的总统领导职位的职能有着不同的教义，并相应地分为两种意见。一种是，伟大的伊斯兰教长、部长以及各种司法工作和军队领导类的工作，都是不允许女性掌握领导权力的。另一种观点是，允许女性承担一个国家中的其他领导地位，除了一个国家的总统。文章的第三部分主要内容如下，根据也门共和国的民主制度的形式、特点和民主的原则、民主的演变分析女性的权利和女性政治参与的定义。首先是民主在希腊文明的出现，那里有直接民主的实践，但随着希腊文明的消亡民主的概念消失了。17世纪初开始，民主的概念成为了最重要的理论知识，并在启蒙时期加强

关键词：妇女权利政治参与伊斯兰法律民主制度

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Leveraging Gradient-Based Optimizer and Deep Learning for Automated Soil Classification Model

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Computers, Materials & Continua 2023年第7期76卷 975-992页

作者： Hadeel alsolai Mohammed Rizwanullah Mashael Maashi Mahmoud othman amani A.alneil Amgad Atta Abdelmageed Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityP.O.box 103786Riyadh11543Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Soil classification is one of the emanating topics and major concerns in many *** the population has been increasing at a rapid pace,the demand for food also increases *** approaches used by agriculturalists are inadequate to satisfy the rising demand,and thus they have hindered soil *** comes a demand for computer-related soil classification methods to support *** study introduces a Gradient-Based Optimizer and Deep Learning(DL)for Automated Soil Clas-sification(GBODL-ASC)*** presented GBODL-ASC technique identifies various kinds of soil using DL and computer vision *** the presented GBODL-ASC technique,three major processes are *** the initial stage,the presented GBODL-ASC technique applies the GBO algorithm with the EfficientNet prototype to generate feature *** soil categorization,the GBODL-ASC procedure uses an arithmetic optimization algorithm(AOA)with a Back Propagation Neural Network(BPNN)*** design of GBO and AOA algorithms assist in the proper selection of parameter values for the EfficientNet and BPNN models,*** demonstrate the significant soil classification outcomes of the GBODL-ASC methodology,a wide-ranging simulation analysis is performed on a soil dataset comprising 156 images and five *** simulation values show the betterment of the GBODL-ASC model through other models with maximum precision of 95.64%.

关键词： Soil classification earth sciences machine learning parameter optimization metaheuristics

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A Deep Learning-Based Recognition Approach for the Conversion of Multilingual Braille Images

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Computers, Materials & Continua 2021年第6期67卷 3847-3864页

作者： Abdulmalik alSalman Abdu Gumaei amani alSalman Suheer al-Hadhrami Department of Computer Science College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Special Education College of EducationKing Saud UniversityRiyadh11543Saudi Arabia

Braille-assistive technologies have helped blind people to write,read,learn,and communicate with sighted individuals for many *** technologies enable blind people to engage with society and help break down communication barriers in their *** Optical Braille Recognition(OBR)system is one example of these *** plays an important role in facilitating communication between sighted and blind people and assists sighted individuals in the reading and understanding of the documents of Braille ***,a clear gap exists in current OBR systems regarding asymmetric multilingual conversion of Braille *** systems allow sighted people to read and understand Braille documents for self-learning *** this study,we propose a deep learning-based approach to convert Braille images into multilingual *** is achieved through a set of effective steps that start with image acquisition and preprocessing and end with a Braille multilingual mapping *** develop a deep convolutional neural network(DCNN)model that takes its inputs from the second step of the approach for recognizing Braille *** experiments are conducted on two datasets of Braille images to evaluate the performance of the DCNN *** rst dataset contains 1,404 labeled images of 27 Braille symbols representing the alphabet *** second dataset consists of 5,420 labeled images of 37 Braille symbols that represent alphabet characters,numbers,and *** proposed model achieved a classication accuracy of 99.28%on the test set of the rst dataset and 98.99%on the test set of the second *** results conrm the applicability of the DCNN model used in our proposed approach for multilingual Braille conversion in communicating with sighted people.

关键词： Optical Braille recognition OBR Braille cells blind sighted deep learning deep convolutional neural network

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Isogeometric analysis of coupled thermo-elastodynamic problems under cyclic thermal shock

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Frontiers of Structural and Civil Engineering 2019年第2期13卷 397-405页

作者： Asghar amani DASHLEJEH Faculty of Engineering University of Mohaghegh ArdabiliIran

The isogeometric analysis (IGA) method was extended for the solution of the coupled thermoelastodynamic equations. The dimensionless formulation was accepted in discretization of the uncoupled and coupled thermoelasticity equations and the Generalized Newmark method was used in the time integration procedure. First, the performance of the proposed method was verified against a two-dimensional benchmark example subjected to constant thermal shock with available exact analytical solutions. Then a two-dimensional half^space benchmark example under thermal shock was solved. Finally, cyclic thermal shock (CTS) loading was applied on the half-space problem. The results dedicated that IGA can be used as a suitable approach in the analysis of the general thermomechanical problems.

关键词： isogeometric analysis coupled thermo-elastodynamic dynamic analysis generalized newmark cyclic thermal

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Recrystallization and mechanical properties of WE43 magnesium alloy processed via cyclic expansion extrusion

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International Journal of Minerals,Metallurgy and Materials 2018年第6期25卷 672-681页

作者： Soheil amani Ghader Faraji School of Mechanical Engineering College of Engineering University of Tehran

In this study, cyclic expansion extrusion（CEE）, as a relatively new severe plastic deformation（SPD） process, is applied to a rare earth（RE） containing Mg alloy WE43. The effects of the processing temperature and the number of passes are also investigated. The results showed that dynamic recrystallization（DRX） occurred after CEE processing at 400°C, and a bimodal structure with ultrafine DRXed grains surrounded the unrecrystallized grains. However, the DRX at 330°C was retarded because of the existence of RE elements. The tensile tests showed that a simultaneous increase in the strength and the ductility of WE43 is obtained after CEE processing at 400°C via two passes. Furthermore, the highest ultimate tensile strength of 440 MPa was achieved after the second pass of CEE at 330°C, and the highest ductility of 21% was attained after the second pass of CEE at 400°C. The microhardness measurements showed that the hardness increased from HV 80 to HV 114 and HV 98 after two passes of CEE processing at 330 and 400°C, respectively. In conclusion, increasing the processing passes could increase the mechanical properties and the volume fraction of the recrystallized grains. Moreover, increasing the temperature reduced the strength and the microhardness even if the elongation increased.

关键词： severe plastic deformation (SPD) grain refinement mechanical properties WE43 microhardness deformation behavior

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Sailfish Optimizer with EfficientNet Model for Apple Leaf Disease Detection

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Computers, Materials & Continua 2023年第1期74卷 217-233页

作者： Mazen Mushabab alqahtani Ashit Kumar Dutta Sultan almotairi M.Ilayaraja amani Abdulrahman albraikan Fahd N.al-Wesabi Mesfer al Duhayyim Physical Therapy Department Majmaah UniversityMajmaah11952Saudi Arabia Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd Diriyah13713RiyadhSaudi Arabia Department of Natural and Applied Sciences Faculty of Community CollegeMajmaah UniversityMajmaah11952Saudi Arabia School of Computing Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid University62529Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’a1247Yemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam Bin Abdulaziz UniversitySaudi Arabia

Recent developments in digital cameras and electronic gadgets coupled with Machine Learning(ML)and Deep Learning(DL)-based automated apple leaf disease detection models are commonly employed as reasonable alternatives to traditional visual inspection *** this background,the current paper devises an Effective Sailfish Optimizer with EfficientNet-based Apple Leaf disease detection(ESFO-EalD)*** goal of the proposed ESFO-EalD technique is to identify the occurrence of plant leaf diseases *** this scenario,Median Filtering(MF)approach is utilized to boost the quality of apple plant leaf ***,SFO with Kapur’s entropy-based segmentation technique is also utilized for the identification of the affected plant region from test ***,Adam optimizer with EfficientNet-based feature extraction and Spiking Neural Network(SNN)-based classification are employed to detect and classify the apple plant leaf images.A wide range of simulations was conducted to ensure the effective outcomes of ESFO-EalD technique on benchmark *** results reported the supremacy of the proposed ESFO-EalD approach than the existing approaches.

关键词： Agriculture computer vision image processing deep learning metaheuristics image segmentation

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Artificial Intelligence Based Solar Radiation Predictive Model Using Weather Forecasts

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Computers, Materials & Continua 2022年第4期71卷 109-124页

作者： Sathish Babu Pandu A.Sagai Francis Britto Pudi Sekhar P.Vijayarajan amani Abdulrahman albraikan Fahd N.al-Wesabi Mesfer al Duhayyim Department of Electrical and Electronics Engineering University College of EngineeringPanruti607106India Department of Mechanical Engineering Rohini College of Engineering&TechnologyPalkulam629401India Department of Electrical and Electronics Engineering Vignan’s Institute of Information TechnologyAndra Pradesh530046India Department of Electrical and Electronics Engineering University College of EngineeringBIT CampusTiruchirappalli620024India Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia&Faculty of Computer and ITSana’a UniversitySana’aYemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Solar energy has gained attention in the past two decades,since it is an effective renewable energy source that causes no harm to the *** Irradiation Prediction(SIP)is essential to plan,schedule,and manage photovoltaic power plants and grid-based power generation *** models have been proposed for SIP in the literature while such studies demand huge volumes of weather data about the target location for a lengthy period of *** this scenario,commonly available Artificial Intelligence(AI)technique can be trained over past values of irradiance as well as weatherrelated parameters such as temperature,humidity,wind speed,pressure,and ***,in current study,the authors aimed at developing a solar irradiance prediction model by integrating big data analytics with AI models(BDAAI-SIP)using weather forecasting *** order to perform long-term collection of weather data,Hadoop MapReduce tool is *** proposed solar irradiance prediction model operates on different ***,data preprocessing take place using various sub processes such as data conversion,missing value replacement,and data ***,Elman Neural Network(ENN),a type of feedforward neural network is also applied for predictive *** is divided into input layer,hidden layer,loadbearing layer,and output *** overcome the insufficiency of ENN in choosing the value of weights and hidden layer neuron count,Mayfly Optimization(MFO)algorithm is *** order to validate the performance of the proposed model,a series of experiments was *** experimental values infer that the proposed model outperformed other methods used for comparison.

关键词： Solar irradiation prediction weather forecast artificial intelligence Elman neural network mayfly optimization

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Design aspect of a novel L-shaped pulsed column for liquid–liquid extraction applications: Energy consumption and the characteristics velocity concept

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Chinese Journal of Chemical Engineering 2018年第4期26卷 723-730页

作者： Pouria amani Elham Mohammadi Sahar Akhgar School of Chemical Engineering College of Engineering University of Tehran Chemical Engineering Department Tarbiat Modares University

This article deals with the evaluation of the consumption of energy for a steady state solvent extraction in a novel L-shaped pulsed sieve-plate column, which is highly required for design and optimization of the periodic flow processes for industrial applications. In this regard, a comprehensive evaluation on the energy consumption in case of a pulsed flow for three different chemical systems is conducted and besides the influence of pulsation intensity, the effect of geometrical parameters including the plate spacing and the plate free area is investigated as well. Moreover, the concept of characteristic velocity models at flooding points is evaluated with respect to the variation of pressure drop along the column at different operational conditions.

关键词： Solvent extraction Pulsed plate column Pressure drop Energy consumption Pulsed flow Characteristic velocity

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