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Inhibition of asphaltene deposition by Al_(2)O_(3) nanoparticles during CO_(2) injection

Petroleum Research 2023年第4期8卷 499-504页

作者： Ali Amraeiniya Alireza Rahimi nadia Nikpour Siamand Salimi Baneh Farid Arabzadeh Mehdi Razavifar Department of Petroleum Engineering Islamic Azad UniversityCentral Tehran BranchTehranIran Department of Petroleum Engineering Islamic Azad UniversityLamerd BranchLamerdIran Department of Mechanical Engineering Urmia UniversityUrmiaIran Department of Petroleum and Natural Gas Engineering Sahand University of TechnologyTabrizIran Department of Petroleum Engineering Kharg BranchIslamic Azad UniversityKhargIran Department of Petroleum Enginering School of Chmical and Peoeum EngineeringShraz UnivertyShaz Iran

Carbon dioxide flooding is of interest due to its high oil-sweep efficiency for enhanced oil recovery and contribution to the reduction of greenhouse gas ***,when CO_(2)is injected into deep geological strata,asphaltene may *** this work,the effect of Al2O3 nanoparticles on the deposition of asphaltene was examined by assessing the variations of bond number and interfacial tension at different pressures and a temperature of 6℃.The asphaltene onset point and intensity were characterized using the bond number,which proved a better indicator of changes in oil droplet shape and interfacial tension with *** mixtures of toluene and n-heptane that contained two different kinds of asphaltenes were used as M and D oil samples.A 0.06 mass%addition of Al_(2)O_(3) nanoparticles,which worked best for reduction of interfacial tension,was also applied at various *** of nanoparticles to the oils prevented asphaltene precipitation in both synthetic samples by altering the slope of the plot of interfacial tension with pressure by 49.7% for the M sample and 9.0%for the D *** Al_(2)O_(3)nanoparticles were found to be more effective at inhibiting asphaltene precipitation for the M oil sample due to its lower H/C ratio and higher nitrogen content.

关键词： CO_(2)injection Enhanced oil recovery Asphaltenedeposition Aluminum oxidenanoparticles Interfacial tension Bond number

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Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network

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Computers, Materials & Continua 2021年第5期67卷 2585-2600页

作者： Gulzar Ahmad Saad Alanazi Madallah Alruwaili Fahad Ahmad Muhammad Adnan Khan Sagheer Abbas nadia Tabassum School of Computer Science NCBA&ELahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Department of Basic Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan

Security is a significant issue for everyone due to new and creative ways to commit *** Closed-Circuit Television(CCTV)systems are being installed in offices,houses,shopping malls,and on streets to protect *** monitor CCTV;however,it is difficult for a single person to monitor the actions of multiple people at one ***,there is a dire need for an automated monitoring system that detects a person with ammunition or any other harmful material Based on our research and findings of this study,we have designed a new Intelligent Ammunition Detection and Classification(IADC)system using Convolutional Neural Network(CNN).The proposed system is designed to identify persons carrying weapons and ammunition using CCTV *** weapons are identified,the cameras sound an *** the proposed IADC system,CNN was used to detect firearms and *** CNN model which is a Deep Learning technique consists of neural networks,most commonly applied to analyzing visual imagery has gained popularity for unstructured(images,videos)data ***,this system generates an early warning through detection of ammunition before conditions become *** the faster and earlier the prediction,the lower the response time,loses and potential *** proposed IADC system provides better results than earlier published models like VGGNet,OverFeat-1,OverFeat-2,and OverFeat-3.

关键词： CCTV CNN IADC deep learning intelligent ammunition detection DnCNN

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Load Balancing Framework for Cross-Region Tasks in Cloud Computing

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Computers, Materials & Continua 2022年第1期70卷 1479-1490页

作者： Jaleel Nazir Muhammad Waseem Iqbal Tahir Alyas Muhammad Hamid Muhammad Saleem Saadia Malik nadia Tabassum Department of Software Engineering The Superior CollegeLahorePakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Virtual University of PakistanLahore54000Pakistan

Load balancing is a technique for identifying overloaded and underloaded nodes and balancing the load between *** maximize various performance parameters in cloud computing,researchers suggested various load balancing *** store and access data and services provided by the different service providers through the network over different regions,cloud computing is one of the latest technology systems for both end-users and service *** volume of data is increasing due to the pandemic and a significant increase in usage of the internet has also been *** of the cloud are looking for services that are intelligent,and,can balance the traffic load by service providers,resulting in seamless and uninterrupted *** types of algorithms and techniques are available that can manage the load balancing in the cloud *** this paper,a newly proposed method for load balancing in cloud computing at the database level is *** database cloud services are frequently employed by companies of all sizes,for application development and business *** balancing for distributed applications can be used to maintain an efficient task scheduling process that also meets the user requirements and improves resource *** balancing is the process of distributing the load on various nodes to ensure that no single node is *** avoid the nodes from being overloaded,the load balancer divides an equal amount of computing time to all *** results of two different scenarios showed the cross-region traffic management and significant growth in revenue of restaurants by using load balancer decisions on application traffic gateways.

关键词： Load balancing performance database region virtualization

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Overexpression of GATA binding protein 4 and myocyte enhancer factor 2C induces differentiation of mesenchymal stem cells into cardiac-like cells

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World Journal of Stem Cells 2022年第9期14卷 700-713页

作者： Syeda Saima Razzaq Irfan Khan nadia Naeem Asmat Salim Sumreen Begum Kanwal Haneef University of Karachi Karachi 75270Pakistan Panjwani Center for Molecular Medicine and Drug Research International Center for Chemical and Biological SciencesUniversity of KarachiKarachi 75270Pakistan Dow Research Institute of Biotechnology&Biomedical Sciences(DRIBBS) Dow University of Health Sciences(DUHS)Ojha CampusKarachi 75200Pakistan Stem Cells Research Laboratory(SCRL) Sindh Institute of Urology and Transplantation(SIUT)Karachi 74200Pakistan

BACKGROUND Heart diseases are the primary cause of death all over the *** myocardial infarction,billions of cells die,resulting in a huge loss of cardiac *** cell-based therapies have appeared as a new area to support heart *** transcription factors GATA binding protein 4(GATA-4)and myocyte enhancer factor 2C(MEF2C)are considered prominent factors in the development of the cardiovascular *** To explore the potential of GATA-4 and MEF2C for the cardiac differentiation of human umbilical cord mesenchymal stem cells(hUC-MSCs).METHODS hUC-MSCs were characterized morphologically and immunologically by the presence of specific markers of MSCs via immunocytochemistry and flow cytometry,and by their potential to differentiate into osteocytes and ***-MSCs were transfected with GATA-4,MEF2C,and their combination to direct the *** differentiation was confirmed by semiquant itative real-time polymerase chain reaction and *** hUC-MSCs expressed specific cell surface markers CD105,CD90,CD44,and vimentin but lack the expression of *** transcription factors GATA-4 and MEF2C,and their combination induced differentiation in hUC-MSCs with significant expression of cardiac genes i.e.,GATA-4,MEF2C,NK2 homeobox 5(NKX2.5),MHC,and connexin-43,and cardiac proteins GATA-4,NKX2.5,cardiac troponin T,and *** Transfection with GATA-4,MEF2C,and their combination effectively induces cardiac differentiation in *** genetically modified MSCs could be a promising treatment option for heart diseases in the future.

关键词： Heart disease GATA binding protein 4 Myocyte enhancer factor 2C Transcription factors Differentiation Human umbilical cord-mesenchymal stem cells

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ABCB1 and ABCB19 auxin transporters have synergistic effects on early and late Arabidopsis anther development

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Journal of Integrative Plant Biology 2015年第12期57卷 1089-1098页

作者： Valentina Cecchetti Patrizia Brunetti nadia Napoli Laura Fattorini Maria Maddalena Altamura Paolo Costantino Maura Cardarelli IBPM-CNR Institute of Molecular Biology and Pathology National Research Council Sapienza University of Rome Department of Biology and Biotechnology Sapienza University of Rome Department of Environmental Biology Sapienza University of Rome

Arabidopsis abcbl abcb19 double mutants defective in the auxin transporters ABCB1/PGP1 and ABCB19/PGP19 are altered in stamen elongation, anther dehiscence and pollen maturation. To assess the contribution of these transporters to stamen development we performed phenotypic, histological analyses, and in situ hybridizations on abcbl and abcbl9 single mutant flowers. We found that pollen maturation and anther dehiscence are precocious in the abcbl but not in the abcb19 mutant. Accordingly, endothecium ligniflcation is altered only in abcbl anthers. Both abcbl and abcb1 abcb19 stamens also show altered early development, with asynchronous anther Iocules and a multilayer tapetum. DAPI staining showed that the timing of meiosis is asynchronous in abcbl abcb19 anther Iocules, while only a small percentage of pollen grains are non- viable according to Alexander＇s staining. In agreement, TAM （TARDY ASYNCHRONOUS MEIOSIS）, as well as BAM2 （BARELY ANY MERISTEM）involved in tapetal cell development--areoverexpressed in abcbl abcb19 young flower buds. Corre- spondingly, ABCB1 and ABCB19 mRNA localization supports the observed phenotypes of abcbl and abcbl abcb19 mutant anthers. In conclusion, we provide evidence that auxin transport plays a significant role both in early and late stamen development： ABCB1 plays a major role during anther development, while ABCB19 has a synergistic role.

关键词： Anther development Arabidopsis auxin transport endothecium lignification tapetum differentiation

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Incidence, clinical features and para-clinical findings of achalasia in Algeria: Experience of 25 years

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World Journal of Gastroenterology 2016年第38期22卷 8615-8623页

作者： Amar Tebaibia Mohammed Amine Boudjella Djamel Boutarene Farouk Benmediouni Hakim Brahimi nadia Oumnia Internal Medicine Department Kouba HospitalUniversity of Algiers 1 Department of Epidemiology National Public Health InstituteEl BiarUniversity of Algiers 1

AIM To investigate the incidence of achalasia in Algeria and to determine its clinical and para-clinical profile. To evaluate the impact of continuing medical education(CME) on the incidence of this *** From 1990 to 2014, 1256 patients with achalasia were enrolled in this prospective study. A campaign of CME on diagnosis involving different regions of the country was conducted between 1999 and 2003. Annual incidence and prevalence were calculated by relating the number of diagnosed cases to 105 inhabitants. Each patient completed a standardized questionnaire, and underwent upper endoscopy, barium swallow and esophageal manometry. We systematically looked for Allgrove syndrome and familial *** The mean annual incidence raised from 0.04(95%CI: 0.028-0.052) during the 1990 s to 0.27/105 inhabitants/year(95%CI: 0.215-0.321) during the 2000 s. The incidence of the disease was two and half times higher in the north and the center compared to the south of the country. One-hundred-and-twenty-nine(10%) were children and 97(7.7%) had Allgrove syndrome. Familial achalasia was noted in 18 different families. Patients had dysphagia(99%), regurgitation(83%), chest pain(51%), heartburn 24.5% and weight loss(70%). The lower esophageal sphincter was hypertensive in 53% and hypotensive in 0.6%.CONCLUSION The mean incidence of achalasia in Algeria is at least 0.27/105 inhabitants. A good impact on the incidence of CME was noted. A gradient of incidence between different regions of the country was found. This variability is probably related to genetic and environmental factors. The discovery of an infantile achalasia must lead to looking for Allgrove syndrome and similar cases in the family.

关键词： Achalasia Incidence Allgrove syndrome Manometry Continuing medical education

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Bit Rate Reduction in Cloud Gaming Using Object Detection Technique

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Computers, Materials & Continua 2021年第9期68卷 3653-3669页

作者： Daniyal Baig Tahir Alyas Muhammad Hamid Muhammad Saleem Saadia Malik nadia Tabassum Natash Ali Mian Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Virtual University of PakistanLahore54000Pakistan School of Computer and Information Technology Beaconhouse National University Lahore53700Pakistan

The past two decades witnessed a broad-increase in web technology and on-line *** the broadband confinements is viewed as one of the most significant variables that prompted new gaming *** immense utilization of web applications and games additionally prompted growth in the handled devices and moving the limited gaming experience from user devices to online cloud *** internet capabilities are enhanced new ways of gaming are being used to improve the gaming *** cloud-based video gaming,game engines are hosted in cloud gaming data centers,and compressed gaming scenes are rendered to the players over the internet with updated *** such systems,the task of transferring games and video compression imposes huge computational complexity is required on cloud *** basic problems in cloud gaming in particular are high encoding time,latency,and low frame rates which require a new methodology for a better *** improve the bandwidth issue in cloud games,the compression of video sequences requires an alternative mechanism to improve gaming adaption without input *** this paper,the proposed improved methodology is used for automatic unnecessary scene detection,scene removing and bit rate reduction using an adaptive algorithm for object detection in a game *** a result,simulations showed without much impact on the players’quality experience,the selective object encoding method and object adaption technique decrease the network latency issue,reduce the game streaming bitrate at a remarkable scale on different *** proposed algorithm was evaluated for three video game *** this paper,achieved 14.6%decrease in encoding and 45.6%decrease in bit rate for the first video game scene.

关键词： Video encoding object detection bit rate reduction game video motion estimation computational complexity

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ADAM10 facilitates rapid neural stem cell cycling and proper positioning within the subventricular zone niche via JAMC/RAP1Gap signaling

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Neural Regeneration Research 2022年第11期17卷 2472-2483页

作者： nadia McMillan Gregory W.Kirschen Sanket Desai Emma Xia Stella E.Tsirka Adan Aguirre Program in Neuroscience and Medical Scientist Training Program Renaissance School of Medicine at Stony Brook UniversityStony BrookNYUSA Department of Pharmacological Sciences Renaissance School of Medicine at Stony Brook UniversityStony BrookNYUSA Department of Neurology Beth Israel Deaconess Medical Center/Harvard Medical SchoolBostonMAUSA Department of Gynecology and Obstetrics Johns Hopkins HospitalBaltimoreMDUSA

The mechanisms that regulate neural stem cell(NSC)lineage progression and maintain NSCs within diffe rent domains of the adult neural stem cell niche,the subventricular zone are not well *** NSCs are arranged at the apical ventricular wall,while mitotically activated NSCs are found in the basal,vascular region of the subventricular ***,we found that ADAM 10(a disintegrin and metalloproteinase 10)is essential in NSC association with the ventricular wall,and via this adhesion to the apical domain,ADAM10 regulates the switch from quiescent and undiffe rentiated NSC to an actively prolife rative and differentiating cell *** of JAMC(junctional adhesion molecule C)by ADAM 10 increases Rap1 GAP *** molecular machinery promotes NSC transit from the apical to the basal compartment and subsequent lineage *** the molecular mechanisms responsible for regulating the proper positioning of NSCs within the subventricular zone niche and lineage progression of NSCs could provide new targets for drug development to enhance the regenerative prope rties of neural tissue.

关键词： ADAM10 adhesion junctional adhesion molecule C neural stem cells neurogenesis olfactory bulb Rap1Gap sub-ventricular zone

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Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

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Computers, Materials & Continua 2021年第6期67卷 3129-3141页

作者： nadia Tabassum Allah Ditta Tahir Alyas Sagheer Abbas Hani Alquhayz Natash Ali Mian Muhammad Adnan Khan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science NCBA&ELahore54000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia School of Computer and Information Technology Beaconhouse National UniversityTarogilLahore53700Pakistan Faculty of Computing Riphah School of Computing&InnovationRiphah International University Lahore CampusLahore54000Pakistan

Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the *** design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter *** a hyperconverged cloud ecosystem environment,building high-reliability cloud applications is a challenging *** selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud *** emergence of cloud computing is significantly reshaping the digital ecosystem,and the numerous services offered by cloud service providers are playing a vital role in this *** software-based unified utilities combine storage virtualization,compute virtualization,and network *** availability of the latter has also raised the demand for *** to the diversity of services,the respective quality parameters are also in abundance and need a carefully designed mechanism to compare and identify the critical,common,and impactful *** is also necessary to reconsider the market needs in terms of service requirements and the QoS provided by various *** research provides a machine learning-based mechanism to monitor the QoS in a hyperconverged environment with three core service parameters:service quality,downtime of servers,and outage of cloud services.

关键词： Cloud computing hyperconverged neural network QoS parameter cloud service providers ranking prediction

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Predicting groundwater level of wells in the Diyala River Basin in eastern Iraq using artificial neural network

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Journal of Groundwater Science and Engineering 2020年第1期8卷 87-96页

作者： Abdulrahman Th Mohammad Qassem H Jalut nadia L Abbas Baqubah Technical Institute Middle Technical University(MTU)BaghdadIraq Department of Civil Engineering College of EngineeringUniversity of DiyalaDiyalaIraq.

Al-Mansourieh zone is a part of Al-Khalis City within the province of Diyala and located in the Diyala River Basin in eastern Iraq with a total area about 830 *** is the main water source for agriculture in this *** well drilling without geological and hydraulic information has led the most of these wells to dry up ***,it is necessary to estimate the levels of groundwater in wells through observed *** this study,Alyuda NeroIntelligance 2.1 software was applied to predict the groundwater levels in 244 wells using sets of measured *** data included the coordinates of wells(x,y),elevations,well depth,discharge and groundwater *** ANN structures(5-3-3-1,5-10-10-1 and 5-11-11-1)were used to predict the groundwater levels and to acquire the best matching between the measured and ANN predicted *** coefficient of correlation,coefficient determination(R2)and sum-square error(SSE)were used to evaluate the performance of the ANN *** to the ANN results,the model with the three structures has a good predictability and proves more effective for determining groundwater level in *** best predictor was achieved in the structure 5-3-3-1,with R2 about 0.92,0.89,0.84 and 0.91 in training,validation,testing and all processes *** minimum average error in the best predictor is achieved in validation and testing processes at about 0.130 and 0.171 *** the other hand,the results indicated that the model has the potential to determine the appropriate places for drilling the wells to obtain the highest level of groundwater.

关键词： Groundwater Well ANN Diyala River

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