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Comparative study of natural chemical for enhanced oil recovery: Focus on extraction and adsorption at quartz sand surface

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Petroleum 2023年第1期9卷 83-93页

作者： Azza Hashim Abbas Ramzi A.Abd Alsaheb jaafar Kamil abdullah School of Mining and Geosciences Nazarbayev UniversityKazakhstan Al-khwarizmi College of Engineering University of BaghdadIraq Basrah University College of Science and Technology Iraq

In chemical enhanced oil recovery(CEOR),it is very important to utilize the excessive usage of chemicals.A great opportunity lies in adopting natural surfactants,since it is cheaper,ecosystem friendly,and less toxic than their counterpart synthetic *** the availability of natural surfactant sources,it is yet very early to decide on their ***,this research focuses on natural-saponin extracted from different raw materials available in the Middle East and their interaction with quartz-sand.A special focus was given to the adsorption isotherm models to describe the interaction with the reservoir *** raw materials were investigated are fenugreek,sugar beet leaves and *** main extraction method employed was the chemical extraction using the *** study used Uv–vis spectrometer to investigate the micellization behaviour and the consequent adsorption on *** presence of triterpenoid saponin is found dominant in all the sample,the intensity and purity differed according to the raw material *** critical micelle concentration(CMC)was at a close range of 4–5.5 wt%in all the *** highest adsorption was obtained by sugar beet leaves which is 192 g/*** is 25%and 37%higher than the Fenugreek and chickpeas,*** the salinity resulted in adsorption reduction between 2%and 56%.For the adsorption isotherms,it showed good agreement with the Langmuir model *** remarkable finding is that the sugar beet leaves heterogeneous model seems to be valid by Frendluich and Halsey isotherms.

关键词： Natural surfactants Quartz Adsorption isotherm Salinity Fenugreek Sugar beet leaves Chickpeas

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Gender-Based Analysis of User Reactions to Facebook Posts

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Big Data Mining and Analytics 2024年第1期7卷 75-86页

作者： Yassine El Moudene jaafar Idrais Rida El Abassi Abderrahim Sabour Mathematical Engineering and Computer Science Laboratory Faculty of SciencesIbn Zohr UniversityAgadir 8706Morocco Department of Computer Science Mathematical−High School of Technology Ibn Zohr UniversityAgadir 8706Morocco

Online Social Networks(OSNs)are based on the sharing of different types of information and on various interactions(comments,reactions,and sharing).One of these important actions is the emotional reaction to the *** diversity of reaction types available on Facebook(namely FB)enables users to express their feelings,and its traceability creates and enriches the users’emotional identity in the virtual *** paper is based on the analysis of 119875012 FB reactions(Like,Love,Haha,Wow,Sad,Angry,Thankful,and Pride)made at multiple levels(publications,comments,and sub-comments)to study and classify the users’emotional behavior,visualize the distribution of different types of reactions,and analyze the gender impact on emotion *** of these can be achieved by addressing these research questions:who reacts the most?Which emotion is the most expressed?

关键词： profiling knowledge extraction data mining emotion mining social media data crawling Facebook reactions gender

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An Optical Based Biosensor for the Determination of Ammonium in Aqueous Environment

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American Journal of Analytical Chemistry 2012年第5期3卷 364-370页

作者： Nur Ellina Azmi jaafar abdullah Musa Ahmad Hamidah Sidek Lee Yook Heng Samsulida Abd Rahman Industrial Biotechnology Research Centre SIRIM Berhad Shah Alam Malaysia Industrial Biotechnology Research Centre SIRIM Berhad Shah Alam Malaysia. School of Chemical Sciences and Food Technology Faculty of Sciences and Technology Universiti Kebangsaan Malaysia Bangi Malaysia. School of Chemical Sciences and Food Technology Faculty of Sciences and Technology Universiti Kebangsaan Malaysia Bangi Malaysia.

A simple and rapid optical biosensor for the determination of ammonium was developed by immobilization of gluta-mate dehydrogenase (GLDH) and diaphorase (Dph) in chitosan film coated on a glass slide employing thiazolyl blue tetrazolium bromide (MTT) as a color indicator. The developed biosensor displays a purple color formation of formazan attributed to the unreacted NADH in the reaction system in the presence of ammonium. The color intensity was found to decrease proportionally with the increase of ammonium concentrations after 10 min exposure. The linearity of the biosensor towards ammonium was in the range of 16.8 – 70 μM (R2 = 0.9955) with detection limit of 11 μM. A good agreement (R2 = 0.9984) with indothymol method was obtained in the measurement of fish pond water samples. The effect of potential interferences such as metals ion has also been evaluated.

关键词： Optical Biosensor Glutamate Dehydrogenase Diaphorase Ammonium

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Overview of Jute Fibre as Thermoplastic Matrix Polymer Reinforcement

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Journal of Renewable Materials 2024年第3期12卷 457-483页

作者： Tezara Cionita Mohammad Hazim Mohamad Hamdan Januar Parlaungan Siregar Deni Fajar Fitriyana Ramli Junid Wong Ling Shing Jamiluddin jaafar Agustinus Purna Irawan Teuku Rihayat Rifky Ismail Athanasius Priharyoto Bayuseno Emilianus Jehadus Faculty of Engineering and Quantity Surveying INTI International UniversityNilaiNegeri Sembilan71800Malaysia Technical Department Dyna Forming Engineering Technology(DFETECH)SDN.BHD.SerembanNegeri Sembilan70300Malaysia Faculty of Mechanical and Automotive Engineering Technology UniversitiMalaysia Pahang Al-Sultan Abdullah(UMPSA)PekanPahang26600Malaysia Automotive Engineering Center(AEC) UniversitiMalaysia Pahang Al-Sultan Abdullah(UMPSA)PekanPahang26600Malaysia Department of Mechanical Engineering Universitas Negeri SemarangKampus SekaranGunungpatiSemarang50229Indonesia Faculty of Manufacturing and Mechatronic Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahPekanPahang26600Malaysia Faculty of Health and Life Sciences INTI International UniversityNilai71800Malaysia Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn MalaysiaParit RajaBatu PahatJohor86400Malaysia Faculty of Engineering Universitas TarumanagaraJakarta Barat11440Indonesia Department of Chemical Engineering Politeknik Negeri LhokseumaweLhokseumawe24301Indonesia Department of Mechanical Engineering Faculty of EngineeringDiponegoro UniversitySemarang50275Indonesia Department of Mathematics Education Universitas Katolik Indonesia Santu Paulus RutengNusa Tenggara Timur8651Indonesia

Recent decades have seen a substantial increase in interest in research on natural fibres that is aligned with sustainable development goals(SDGs).Due to their renewable resources and biodegradability,natural fiberreinforced composites have been investigated as a sustainable alternative to synthetic materials to reduce the usage of hazardous waste and environmental *** the natural fibre,jute fibre obtained from a bast plant has an increasing trend in the application,especially as a reinforcement *** research works have been performed on jute fibre with regard to reinforced thermoset and thermoplastic ***,current demands on sustainable materials have required new developments in thermoplastic *** this paper,the author reviews jute plants as reinforcement materials for thermoplastic matrix *** review provides an overview of the sustainability of jute plants as reinforcement material for thermoplastic matrix *** overview on jute based thermoplastic composites focused on the thermal behavior and mechanical *** from physical,chemical,and mechanical properties,the study also covers the current and perspectives for future research challenges faced by the researchers on jute fibre reinforced thermoplastic composites.

关键词： Jute fibre sustainable development goals(SDGs) natural fibre thermoplastic composite sustainable manufacturing

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Nutritional and therapeutic benefits of coconut milk and its potential as a plant-based functional yogurt alternative: a review

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Food Science and Human Wellness 2024年

作者： Gengghatarani Gengan Nurul Solehah Mohd Zaini Nazamid Saari Anis Shobirin Meor Hussin Ahmad Haniff jaafar Hanan Hasan Elicia Jitming Lim Wan Abd Al Qadr Imad Wan-Mohtar Muhamad Hafiz Abd Rahim Functional Omics and Bioprocess Development Laboratory Institute of Biological Sciences Faculty of Science Universiti Malaya Faculty of Food Science and Technology Universiti Putra Malaysia School of Life and Environmental Sciences The University of Sydney

Plant-based milks are on the rise due to an increased awareness of their sustainability and health benefits. Currently， dairy milk is the most nutritionally complete beverage， but it suffers from the presence of indigestible lactose and allergenic proteins. Coconut milk has been around for a long time， but its application is limited due to a perceived lack of specific nutrients， high saturated fat levels， and low acceptability. Recent evidence indicates， however， that the saturated fat and other plant-based components found in coconut milk are good for metabolic outcomes and brain health. The conversion of coconut milk to yoghurt will further improve its functionality by boosting its existing nutritional qualities. In this article， the nutritional value of coconut milk， as well as its potential downsides， its application as yoghurt， and suggestions for enhancing its nutritional functionality will be examined.

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Cardiovascular Disease Prediction Among the Malaysian Cohort Participants Using Electrocardiogram

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Computers, Materials & Continua 2022年第4期71卷 1111-1132页

作者： Mohd Zubir Suboh Nazrul Anuar Nayan Noraidatulakma abdullah Nurul Ain Mhd Yusof Mariatul Akma Hamid Azwa Shawani Kamalul Arinfin Syakila Mohd Abd Daud Mohd Arman Kamaruddin Rosmina jaafar Rahman Jamal Faculty of Engineering and Built Environment Universiti Kebangsaan MalaysiaBangi43600Malaysia Medical Engineering Technology Section Universiti Kuala Lumpur British Malaysian InstituteGombak53100Malaysia Institut Islam Hadhari Universiti Kebangsaan MalaysiaBangi43600Malaysia UKM Medical Molecular Biology Institute(UMBI) Kuala Lumpur56000Malaysia Faculty of Health Sciences Universiti Kebangsaan MalaysiaBangi43600Malaysia

A comprehensive study was conducted to differentiate cardiovascular disease (CVD) subjects from non-CVD subjects using short recording electrocardiogram (ECG) of 244 Malaysian adults in The MalaysianCohort project. An automated peak detection algorithm to detect nine fiducialpoints of electrocardiogram (ECG) was developed. Forty-eight features wereextracted in both time and frequency domains, including statistical featuresobtained from heart rate variability and Poincare plot analysis. These includefive new features derived from spectrum counts of five different frequencyranges. Feature selection was then made based on p-value and correlationmatrix. Selected features were used as input for five classifiers of artificialneural network (ANN), k-nearest neighbors (kNN), support vector machine(SVM), discriminant analysis (DA), and decision tree (DT). Results showedthat six features related to T wave were statistically significant in distinguishingCVD and non-CVD groups. ANN had performed the best with 94.44% specificity and 86.3% accuracy, followed by kNN with 80.56% specificity, 86.49%sensitivity and 83.56% accuracy. The novelties of this study were in providingalternative solutions to detect P-onset, P-offset, T-offset as well as QRS-onsetpoints using discrete wavelet transform method. Additionally, two out of thefive newly proposed spectral features were significant in differentiating bothgroups, at frequency ranges of 1–10 Hz and 5–10 Hz. The prediction outcomeswere also comparable to previous related studies and significantly importantin using ECG to predict cardiac-related events among CVD and non-CVDsubjects in the Malaysian population.

关键词： Cardiovascular disease ECG fiducial point detection electrocardiogram feature extraction machine learning

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多信道有限缓存下混合业务接入控制的排队性能研究

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控制理论与应用 2022年第6期39卷 1011-1019页

作者：黎锁平徐倩毓 jaafar Gaber 兰州理工大学电气工程与信息工程学院甘肃兰州730050 兰州理工大学理学院甘肃兰州730050 Universite de Technologie Belfort-Montbeliard Belfort 90010France

基于无线通信网的运行机制和实时性、非实时性混合业务对无线通信网络的不同服务质量(QoS)要求,设计了有限缓存下实时性业务优先接入控制策略,并建立了无线通信网络在有限缓存下混合业务带有优先接入控制的多服务台离散时间排队模型Geom... 详细信息

基于无线通信网的运行机制和实时性、非实时性混合业务对无线通信网络的不同服务质量(QoS)要求,设计了有限缓存下实时性业务优先接入控制策略,并建立了无线通信网络在有限缓存下混合业务带有优先接入控制的多服务台离散时间排队模型Geom_(1)±Geom_(2)/Geom_(1),Geom_(2)/s,s(PP)/n+s,s.精确划分了系统的状态组成,分析了系统性能和状态转移概率,获得了系统的稳态分布、平均队长、损失率、以及信道的平均利用率.最后,对所建模型进行数值模拟,得到各业务到达率、服务率、信道个数、缓冲器容量与各业务损失率的关系.针对网络拥塞控制,本文提出通过增加信道个数、提高优先级业务的服务率能有效地降低两类业务的损失率.

关键词：混合业务网络拥塞控制有限缓存离散时间排队

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Combined Effect of Concept Drift and Class Imbalance on Model Performance During Stream Classification

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Computers, Materials & Continua 2023年第4期75卷 1827-1845页

作者： Abdul Sattar Palli Jafreezal jaafar Manzoor Ahmed Hashmani Heitor Murilo Gomes Aeshah Alsughayyir Abdul Rehman Gilal Department of Computer and Information Sciences Universiti Teknologi PETRONAS(UTP)Seri Iskandar32610Malaysia Centre for Research in Data Science UTPPerak32610Malaysia High Performance Cloud Computing Centre(HPC3) UTPPerak32610Malaysia School of Engineering and Computer Science Victoria University of WellingtonWellington6012New Zealand AI Institute University of Waikato WellingtonHamilton3240New Zealand Anti-Narcotics Force Ministry of Narcotics ControlIslamabad46000Pakistan College of Computer Science and Engineering Taibah UniversityMadinah42353Saudi Arabia

Every application in a smart city environment like the smart grid,health monitoring, security, and surveillance generates non-stationary datastreams. Due to such nature, the statistical properties of data changes overtime, leading to class imbalance and concept drift issues. Both these issuescause model performance degradation. Most of the current work has beenfocused on developing an ensemble strategy by training a new classifier on thelatest data to resolve the issue. These techniques suffer while training the newclassifier if the data is imbalanced. Also, the class imbalance ratio may changegreatly from one input stream to another, making the problem more *** existing solutions proposed for addressing the combined issue of classimbalance and concept drift are lacking in understating of correlation of oneproblem with the other. This work studies the association between conceptdrift and class imbalance ratio and then demonstrates how changes in classimbalance ratio along with concept drift affect the classifier’s *** analyzed the effect of both the issues on minority and majority classesindividually. To do this, we conducted experiments on benchmark datasetsusing state-of-the-art classifiers especially designed for data stream ***, recall, F1 score, and geometric mean were used to measure theperformance. Our findings show that when both class imbalance and conceptdrift problems occur together the performance can decrease up to 15%. Ourresults also show that the increase in the imbalance ratio can cause a 10% to15% decrease in the precision scores of both minority and majority *** study findings may help in designing intelligent and adaptive solutionsthat can cope with the challenges of non-stationary data streams like conceptdrift and class imbalance.

关键词： Classification data streams class imbalance concept drift class imbalance ratio

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A Survey on Deep Learning-Based 2D Human Pose Estimation Models

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Computers, Materials & Continua 2023年第8期76卷 2385-2400页

作者： Sani Salisu A.S.A.Mohamed M.H.jaafar Ainun S.B.Pauzi Hussain A.Younis School of Computer Science Universiti Sains MalaysiaPenang11800Malaysia Department of Information Technology Faculty of ComputingFederal University DutseJigawa720211Nigeria School of Industrial Technology Universiti Sains MalaysiaPenang11800Malaysia College of Education for Women University of BasrahBasrah61004Iraqi

In this article,a comprehensive survey of deep learning-based(DLbased)human pose estimation(HPE)that can help researchers in the domain of computer vision is *** is among the fastest-growing research domains of computer vision and is used in solving several problems for human *** the detailed introduction,three different human body modes followed by the main stages of HPE and two pipelines of twodimensional(2D)HPE are *** details of the four components of HPE are also *** keypoints output format of two popular 2D HPE datasets and the most cited DL-based HPE articles from the year of breakthrough are both shown in tabular *** study intends to highlight the limitations of published reviews and surveys respecting presenting a systematic review of the current DL-based solution to the 2D HPE ***,a detailed and meaningful survey that will guide new and existing researchers on DL-based 2D HPE models is ***,some future research directions in the field of HPE,such as limited data on disabled persons and multi-training DL-based models,are revealed to encourage researchers and promote the growth of HPE research.

关键词： Human pose estimation deep learning 2D dataset models body parts

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Performance evaluation of nanosilica derived from agro-waste as lost circulation agent in water-based mud

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Petroleum Research 2023年第2期8卷 256-269页

作者： Augustine Agi Jeffrey O.Oseh Afeez Gbadamosi Cheo Kiew Fung Radzuan Junin Mohd Zaidi jaafar Faculty of Chemical and Process Engineering Technology College of Engineering TechnologyUniversiti Malaysia Pahang26300GambangPahangMalaysia Institute for Oil and Gas(IFOG) Universiti Teknologi Malaysia81310Johor BahruMalaysia Federal University of Technology P.M.B.1526OwerriImo StateNigeria Department of Petroleum Engineering College of Petroleum and GeosciencesKing Fahd University of Petroleum and Minerals31261DhahranSaudi Arabia Department of Petroleum Engineering School of Chemical and Energy EngineeringFaculty of EngineeringUniversiti Teknologi Malaysia81310 Johor BahruMalaysia

Seepage or loss of the mix-water from the drilling muds into the porous and permeable formations is a common problem during drilling *** drilling mud design requires a good knowledge of sealing integrity and all the factors influencing the mud to bridge through fractures or pore throat of exposed *** circulation materials(LCMs)are commonly introduced into the drilling mud to prevent or minimize filtrate *** study investigates silica nanoparticle(SNP)derived from rice husk(RH)termed RH-SNP using the wet-milling method as an LCM inwater-based mud(WBM).The impact of the RH-SNP in the enhancement of rheology and filtrate loss control properties of WBM was ***,the sealing integrity of the RH-SNP in a 1 mm and 2 mm simulated fracture for 7 min was determined using a stainless-steel slotted filter *** performance of the developed RH-SNP was compared with the widely applied *** synthesized RH-SNP at amount of 2.0 wt% significantly enhanced the yield point and plastic viscosity of the WBM by 75% and 386%,respectively,and minimized the fluid loss of the WBM by 47% at 80°*** enhancement is due to the particles ability to spread and interact efficiently with the *** the use of 1 mm and 2 mm simulated fracture for 7 min,the mud loss volume of the base mud reduced by 50%,66.7%,86%,and 90%(for 1 mm)and 40%,65.7%,77.1%,and 80%(for 2 mm)with the inclusion of 0.5 wt%,1.0 wt%,1.5 wt%,and 2.0 wt% of RH-SNP,***,the results showed that RH-SNP enhanced the seal integrity of the drilling mud and was more resistant to deformation compared to the *** findings of this study can help for better understanding of the application of RH-SNP as a loss circulation agent owing to its superior ability to seal fractured formation compared with the often used nutshell.

关键词： Rice husk silica nanoparticles Loss circulation material Fractured formation Water based-mud Rheology

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