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Laboratory to field scale assessment for EOR applicability in tight oil reservoirs

Petroleum Science 2022年第5期19卷 2131-2149页

作者： fahad iqbal Syed Amirmasoud Kalantari Dahaghi Temoor Muther Center for Net Carbon Zero GeoEnergy Intelligence and Sustainability(C0GEiS) USA The University of Kansas School of EngineeringChemical and Petroleum Engineering1450 Jayhawk Blvd.LawrenceKS66045USA

Tight oil reservoirs are contributing a major role to fulfill the overall crude oil needs,especially in the ***,the dilemma is their ultra-tight permeability and an uneconomically short-lived primary recovery ***,the application of EOR in the early reservoir development phase is considered effective for fast-paced and economical tight oil *** achieve these objectives,it is imperative to determine the optimum EOR potential and the best-suited EOR application for every individual tight oil reservoir to maximize its ultimate recovery *** most of the tight oil reservoirs are found in wide spatial source rock with complex and compacted pores and poor geophysical properties yet they hold high saturation of good quality oil and therefore,every single percent increase in oil recovery from such huge reservoirs potentially provide an additional million barrels of ***,the EOR application in such reservoirs is quite ***,the physical understanding of EOR applications in different circumstances from laboratory to field scale is the key to success and similarly,the fundamental physical concepts of fluid flow-dynamics under confinement conditions play an important *** paper presents a detailed discussion on laboratory-based experimental achievements at micro-scale including fundamental concepts under confinement environment,physics-based numerical studies,and recent actual field piloting experiences based on the *** *** objective of this paper is to discuss all the critical reservoir rock and fluid properties and their contribution to reservoir development through massive multi-staged hydraulic fracture networks and the EOR *** the CO_(2)and produced hydrocarbon gas injection through single well-based huff-n-puff operational constraints are discussed in detail both at micro and macro scale.

关键词： UEOR UEOR pilots Shale oil Tight oil reservoir Gas injection Hydraulic fracture Huff-n-puff

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Enhanced Topic-Aware Summarization Using Statistical Graph Neural Networks

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Computers, Materials & Continua 2024年第8期80卷 3221-3242页

作者： Ayesha Khaliq Salman Afsar Awan fahad Ahmad Muhammad Azam Zia Muhammad Zafar iqbal Department of Computer Science University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan School of Computing Faculty of TechnologyUniversity of PortsmouthSouthseaPortsmouthPO12UPUK Department of Mathematics and Statistics University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan

The rapid expansion of online content and big data has precipitated an urgent need for efficient summarization techniques to swiftly comprehend vast textual documents without compromising their original *** approaches in Extractive Text Summarization(ETS)leverage the modeling of inter-sentence relationships,a task of paramount importance in producing coherent *** study introduces an innovative model that integrates Graph Attention Networks(GATs)with Transformer-based Bidirectional Encoder Representa-tions from Transformers(BERT)and Latent Dirichlet Allocation(LDA),further enhanced by Term Frequency-Inverse Document Frequency(TF-IDF)values,to improve sentence selection by capturing comprehensive topical *** approach constructs a graph with nodes representing sentences,words,and topics,thereby elevating the interconnectivity and enabling a more refined understanding of text *** model is stretched to Multi-Document Summarization(MDS)from Single-Document Summarization,offering significant improvements over existing models such as THGS-GMM and Topic-GraphSum,as demonstrated by empirical evaluations on benchmark news datasets like Cable News Network(CNN)/Daily Mail(DM)and *** results consistently demonstrate superior performance,showcasing the model’s robustness in handling complex summarization tasks across single and multi-document *** research not only advances the integration of BERT and LDA within a GATs but also emphasizes our model’s capacity to effectively manage global information and adapt to diverse summarization challenges.

关键词： Summarization graph attention network bidirectional encoder representations from transformers Latent Dirichlet Allocation term frequency-inverse document frequency

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Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 525-543页

作者： Mohamed Abdel-Mongy Mudassir iqbal M.Farag Ahmed.M.Yosri fahad Alsharari Saif Eldeen A.S.Yousef Department of Civil Engineering College of EngineeringJouf UniversitySakaka72388Saudi Arabia Department of Civil Engineering University of Engineering and TechnologyPeshawar54890Pakistan Civil Engineering Department Faculty of EngineeringAl-Azhar UniversityCairo11884Egypt Civil Engineering Department Faculty of EngineeringAswan UniversityAswan81528Egypt

Alkali-activated materials/geopolymer(AAMs),due to their low carbon emission content,have been the focus of recent studies on ecological *** terms of performance,fly ash and slag are preferredmaterials for precursors for developing a one-part ***,determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely ***,in this study,machine learning methods such as artificial neural networks(ANN)and gene expression programming(GEP)models were developed usingMATLAB and GeneXprotools,respectively,for the prediction of compressive strength under variable input materials and content for fly ash and slag-based one-part *** database for this study contains 171 points extracted from literature with input parameters:fly ash concentration,slag content,calcium hydroxide content,sodium oxide dose,water binder ratio,and curing *** performance of the two models was evaluated under various statistical indices,namely correlation coefficient(R),mean absolute error(MAE),and rootmean square error(RMSE).In terms of the strength prediction efficacy of a one-part geopolymer,ANN outperformed *** and parametric analysis were also performed to identify the significant contributor to *** to a sensitivity analysis,the activator and slag contents had the most effects on the compressive strength at 28 *** water binder ratio was shown to be directly connected to activator percentage,slag percentage,and calcium hydroxide percentage and inversely related to compressive strength at 28 days and curing temperature.

关键词： Artificial intelligence techniques one-part geopolymer artificial neural network gene expression modelling sustainable construction polymers

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Disease clearance in ulcerative colitis:A new therapeutic target for the future

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World Journal of Gastroenterology 2024年第13期30卷 1801-1809页

作者： Syed Adeel Hassan Neeraj Kapur fahad Sheikh Anam fahad Somia Jamal Division of Digestive Disease and Nutrition University of KentuckyLexingtonKY 40536United States Department of Pathology and Laboratory Medicine Montefiore Medical CenterAlbert Einstein College of MedicineNew YorkNY 10461United States Division of Primary Care Essen HealthcareNew YorkNY 10457United States Department of Internal Medicine Karachi Medical and Dental CollegeKarachi 74700SindhPakistan

Advancements in murine modeling systems for ulcerative colitis have diversified our understanding of the pathophysiological factors involved in disease onset and *** has fueled the identification of molecular targets,resulting in a rapidly expanding therapeutic ***,management strategies have evolved from symptomatic resolution to well-defined objective endpoints,including clinical remission,endoscopic remission and mucosal *** the incorporation of these assessment modalities has permitted targeted intervention in the context of a natural disease history and the prevention of complications,studies have consistently depicted discrepancies associated with ascertaining disease status through clinical and endoscopic *** recommendations lack consideration of histological *** simultaneous achievement of clinical,endoscopic,and histologic remission has not been fully *** has laid the groundwork for a novel therapeutic outcome termed disease clearance(DC).This article summarizes the concept of DC and its current evidence.

关键词： Inflammatory bowel disease Ulcerative colitis Clinical remission Endoscopic remission Histological remission Mucosal healing Disease clearance

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Deciphering the role of rGO in tuning dielectric properties of Er_(2)O_(3)/ZnO/rGO nanocomposites synthesized via facile approach

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Journal of Rare Earths 2024年第3期42卷 578-585,I0006页

作者： Saiqa Hafeez Saima Perveen Muhammad Zarrar Khan Awab Hashmi fahad Azad School of Natural Sciences(SNS) National University of Sciences and Technology(NUST)IslamabadPakistan Electronic and Magnetic Materials Laboratory School of Chemical and Materials Engineering(SCME)National University of Sciences and Technology(NUST)IslamabadPakistan

The present research investigated the effect of reduced graphene oxide(rGO) integration with assynthesized Er_(2)O_(3)/ZnO nanocomposites on dielectric properties. The samples were characterized by Xray diffraction(XRD), Fourier transform infrared spectroscopy(FTIR), scanning electron microscopy(SEM), diffuse reflectance spectroscopy(DRS), and energy dispersive spectroscopy(EDS). Complex impedance spectroscopy was utilized to characterize dielectric relaxation phenomena in Er_(2)O_(3)/ZnO and Er_(2)O_(3)/ZnO/rGO nanocomposites. All the samples exhibit single relaxation phenomena which are ascribed to grain boundaries. The addition of rGO to Er_(2)O_(3)/ZnO nanocomposite results in the enhancement of dielectric response due to increased local field intensity caused by the formation of conductinginsulating interfaces. Furthermore, the AC conductivity of the Er_(2)O_(3)/ZnO/rGO is increased at higher frequencies due to the presence of free charge carriers in rGO. At higher frequencies, Er_(2)O_(3)/ZnO/rGO nanocomposite with increased concentration of ZnO exhibits a more stable dielectric constant with extremely low dielectric loss. Hence, the inclusion of rGO in Er_(2)O_(3)/ZnO nanocomposites makes it a novel prospective candidate in the field of energy storage devices.

关键词： Erbium oxide(Er_(2)O_(3)) Rare earths Stable dielectric constant Impedance Polarization Grain boundaries

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Medical management of urolithiasis: Great efforts and limited progress

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Asian Journal of Urology 2024年第2期11卷 149-155页

作者： Victoria Jahrreiss Christian Seitz fahad Quhal Department of Urology Comprehensive Cancer CenterMedical University of ViennaViennaAustria Department of Urology King Fahad Specialist HospitalDammamSaudi Arabia

Objective:To provide a comprehensive review on the existing literature on medical management of ***:A thorough literature review was performed using Medline,PubMed/PMC,Embase,and the Cochrane Database of Systematic Reviews up to December 2022 to identify publications on the medical management of *** that assessed dietary and pharmacologic management of urolithiasis were reviewed;studies on medical expulsive therapy were not included in this ***:Medical management of urolithiasis ranges from the prophylactic management of kidney stone disease to dissolution *** most treatment concepts have been long established,large randomized controlled trials are *** modification and increased fluid intake remain cornerstones in the conservative management of urolithiasis.A major limitation for medical management of urolithiasis is poor patient ***:Medical management of urolithiasis is more important in patients with recurrent urolithiasis and patients with metabolic abnormalities putting them at higher risk of developing *** medical management can be effective in limiting stone recurrence,medical interventions often fail due to poor compliance.

关键词： Medicalmanagement Medical therapy Urolithiasis Kidneystonedisease

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Optimal configuration analysis for a campus microgrid—a case study

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Protection and Control of Modern Power Systems 2017年第1期2卷 245-256页

作者： fahad iqbal Anwar Shahzad Siddiqui Department of Electrical Engineering Jamia Millia IslamiaNew DelhiIndia

The foremost issues of 21st century are challenging demand of electrical energy and to control the emission of Green House Gases(GHG)*** energy resources based sustainable microgrid emerges as one of the best feasible solution for future energy demand while considering zero carbon emission,fossil fuel independency,and enhanced *** this paper,optimization and implementation of institutional based sustainable microgrid are discussed based on cost analysis,carbon emission,and availability of energy *** microgrid topologies are considered for addressing the most ideal *** metrological data such as irradiance is acquired from solar satellite data of NASA(National Aero Space Agency)while the data for wind speed is taken from synergy enviro engineer’s ***®simulation tool is used for modelling and optimization purpose.

关键词： Microgrids Distributed generation Renewable energy resources Battery bank Diesel generator Solar photovoltaic system Wind turbine system

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基于机器学习的风力发电预测

基于机器学习的风力发电预测

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作者： fahad iqbal Khan 华北电力大学(北京)

学位级别：硕士

风力发电已经成为一些国家的重要动力来源,因为风能是可再生的,风力发电是清洁的,而且与今天主要用于发电的化石燃料相比,没有产生污染物。由于这些原因,世界对风力发电的关注日益增加。在过去的十年中,在几分钟,几天,几个月和几年的时... 详细信息

风力发电已经成为一些国家的重要动力来源,因为风能是可再生的,风力发电是清洁的,而且与今天主要用于发电的化石燃料相比,没有产生污染物。由于这些原因,世界对风力发电的关注日益增加。在过去的十年中,在几分钟,几天,几个月和几年的时间内对风力发电的预测进行了大量研究。本文重点关注短期预测,并从风能理论概述入手。关注短期预测的主要原因是确保电力需求和供应之间的平衡。基于风电预测领域的文献研究,发现地理位置,数据来源和预测方法等因素对风电预测的准确性有影响。此外,在文献中发现,诸如风速,风向,天气稳定性,可用性,相对湿度和季节数据的输入参数作为用于预测风力的预测方法的输入数据非常有用。从大量预测方法中发现,最常用的预测风能的技术是物理方法,以及统计或混合方法,如神经网络。该研究已经获得了使用RNN,LSTM,混合方法和集合方法的预测结果。

关键词：递归神经网络(RNN) 长短期记忆网络(LSTM) 风电功率预测时间序列分析混合方法集合预测

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A Novel Approach to Energy Optimization:Efficient Path Selection in Wireless Sensor Networks with Hybrid ANN

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Computers, Materials & Continua 2024年第5期79卷 2945-2970页

作者： Muhammad Salman Qamar Ihsan ulHaq Amil Daraz Atif MAlamri Salman A.AlQahtani Muhammad fahad Munir Department of Electrical and Computer Engineering International Islamic UniversityIslamabad44000Pakistan School of Information Science and Engineering NingboTech UniversityNingbo315100China Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11495Saudi Arabia Computer Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11495Saudi Arabia

In pursuit of enhancing the Wireless Sensor Networks(WSNs)energy efficiency and operational lifespan,this paper delves into the domain of energy-efficient routing ***,the limited energy resources of Sensor Nodes(SNs)are a big challenge for ensuring their efficient and reliable *** data gathering involves the utilization of a mobile sink(MS)to mitigate the energy consumption problem through periodic network *** mobile sink(MS)strategy minimizes energy consumption and latency by visiting the fewest nodes or predetermined locations called rendezvous points(RPs)instead of all cluster heads(CHs).CHs subsequently transmit packets to neighboring *** unique determination of this study is the shortest path to reach *** the mobile sink(MS)concept has emerged as a promising solution to the energy consumption problem in WSNs,caused by multi-hop data collection with static *** this study,we proposed two novel hybrid algorithms,namely“ Reduced k-means based on Artificial Neural Network”(RkM-ANN)and“Delay Bound Reduced kmeans with ANN”(DBRkM-ANN)for designing a fast,efficient,and most proficient MS path depending upon rendezvous points(RPs).The first algorithm optimizes the MS’s latency,while the second considers the designing of delay-bound paths,also defined as the number of paths with delay over bound for the *** methods use a weight function and k-means clustering to choose RPs in a way that maximizes efficiency and guarantees network-wide *** addition,a method of using MS scheduling for efficient data collection is *** simulations and comparisons to several existing algorithms have shown the effectiveness of the suggested methodologies over a wide range of performance indicators.

关键词： Wireless Sensor Networks(WSNs) mobile sink(MS) rendezvous point(RP) machine learning Artificial Neural Networks(ANNs)

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Betalains protect various body organs through antioxidant and anti-inflammatory pathways

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Food Science and Human Wellness 2024年第3期13卷 1109-1117页

作者： Nilesh Prakash Nirmal Seema Medhe Merina Dahal Pankaj Koirala Siriwan Nirmal fahad Al-Asmari Baojun Xu Institute of Nutrition Mahidol UniversityNakhon Pathom 73170Thailand Department of Nutrition and Dietetics Central Campus of TechnologyTribhuvan UniversityKathmandu 46000Nepal Department of Adult Nursing Faculty of NursingBurapha UniversityChonburi 20131Thailand Department of Food Science and Nutrition College of Agriculture and Food SciencesKing Faisal UniversityAl-Ahsa 31982Saudi Arabia Food Science and Technology Program Department of Life SciencesBNU-HKBU United International CollegeZhuhai 519088China

Betalains are natural coloring pigments with betalamic acid as the core structure of all *** their coloring properties,betalains exhibit various biological activities,including antioxidant and anti-inflammatory properties,which are highly *** in-vivo studies reported that betalains protect various body organs,leading to health *** organs,including the heart,liver,kidney,lung,etc.,are important for a healthy ***,these organs can be affected or damaged by various stress factors,toxicants,and harmful *** studies have claimed that betalains could protect all vital organs of the body through antioxidant and anti-inflammatory *** review article described the in-vivo antioxidant and anti-inflammatory activities of betalains in various cell-line or animal models.A comprehensive discussion has been provided on the mechanism of action of betalains in protecting various body organs,including cardio-protective effect,hepato-protective ability,renal protection capacity,repro-protective ability,neuro-protective effect,lung protection,and gut protection ***,future research directions and conclusions have been outlined.

关键词： Betalains Antioxidant Anti-inflammatory Bioactivities Ogans-protection

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