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Performance evaluation of laterite soil embankment stabilized with bottom ash,coir fiber,and lime

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Journal of Mountain Science 2024年第7期21卷 2334-2351页

作者： Yunusa Hamdanu SANI amin EISAZADEH School of Civil Engineering and Technology Sirindhorn International Institute of TechnologyThammasat UniversityPathum Thani 12120Thailand

In tropical regions,heavy rainfall induces erosion and shallow landslides on road ***-based stabilization methods,common in these regions,contribute to climate change due to their high carbon *** study explored the potential application of coir fiber-reinforced laterite soil-bottom ash mixtures as embankment materials in the *** objective is to enhance engineered embankment slopes'erosion resistance and stability while offering reuse options for industrial *** study examined various mix designs for unconfined compressive strength(UCS)and permeability,utilizing 30%bottom ash(BA)and 1%coir fiber(CF)with varying sizes ranging from 10 to 40 mm,6%lime,and laterite soil(LS),followed by microstructural *** results demonstrate that the compressive strength increases as the CF length increases to 25 *** contrast,permeability increases continuously with increasing CF ***-treated mixtures exhibit superior short-and long-term strength and reduce permeability owing to the formation of cementitious materials,as confirmed by microstructural analyses.A lab-scale slope box was constructed to evaluate the surface erosion of the stabilized laterite soil *** on the rainfall simulation results,the LS-BA-CF mixtures show better resistance to erosion and deformation compared to untreated LS,especially when lime is added to the top *** study provides insights into a sustainable and cost-effective approach for slope stabilization using BA and CF,offering a promising solution for tropical regions susceptible to surface erosion and landslides.

关键词： Lateritic soil Bottom ash Coir fiber lime Unconfined compressive strength Permeability FESEM/EDS Rainfall simulation tests

Numerical study of flow and thermal characteristics of pulsed impinging jet on a dimpled surface

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Theoretical & Applied Mechanics Letters 2024年第2期14卷 106-117页

作者： amin Bagheri Kazem Esmailpour Morteza Heydari Renewable Energy Research Center Damavand BranchIslamic Azad UniversityDamavandIran

This research comprehensively investigates the flow and thermal characteristics of a pulsating impinging jet over a dimpled *** analyzes the impact of key parameters(e.g.,inlet velocity pulsation functions,pulsation frequency,amplitude,dimple pitch,dimple depth,Reynolds number)on flow patterns and heat *** computational fluid dynamics and the Re-normalization group turbulence model are employed to accurately simulate complex turbulent flow *** and average heat transfer coefficients are calculated and compared to steady impingement cases,revealing the potential benefits of pulsation for heat transfer *** study also examines how pulsation-induced flow modulation and thermal mixing affect heat transfer *** indicate that combining fluctuating flow with a dimpled surface can improve heat transfer *** summary,increasing pulsation amplitude consistently enhances heat transfer,while the effect of frequency varies between impinging and wall jet zones.

关键词： Pulsating impinging jet Dimpled surface Heat transfer enhancement Pulsation frequency and amplitude Coherent structures

Dual PPAR delta/gamma agonist offer therapeutic potential for Alzheimer's disease

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Neural Regeneration Research 2024年第6期19卷 1175-1176页

作者： Ian Steinke Meenakshi Singh Rajesh amin Department of Drug Discovery and Development Auburn UniversityAuburn AlabamaALUSA

The increasing incidence of Alzheimer's disease(AD)in the aging population,indicates the critical need for the development of novel targeted molecular therapies for ameliorating AD ***,clinical and preclinical evidence demonstrates that peroxisomal proliferator activating receptors(PPAR)agonists regulate energy and lipid homeostasis in models of diabetes,as well as improve spatial memory in animal models of AD(Khan et al.,2019).

关键词： Alzheimer clinical homeostasis

Three-dimensional seismic face stability of shield tunnels inundrained clay

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Underground Space 2024年第2期15卷 26-43页

作者： Milad Davoodi Salvador Senent amin Keshavarz Rafael Jimenez Civil Engineering Department School of EngineeringPersian Gulf UniversityBushehr ***Iran Universidad Polite´cnica de Madrid C/Prof.Aranguren s/nMadrid 28040Spain

Tunnel face stability has received increasing research interest over the past few decades. However, computing time-efficient and safethree-dimensional solutions under seismic loading is still an unsolved problem, while case studies indicate that seismic loading can be onecritical destabilizing factor affecting tunnel stability. The primary objective of this work is to fill this gap in knowledge by providing compromisingand computationally efficient solutions, along with their respective lower and upper bounds, to compute face stability underseismic conditions. The analyses employ the finite element limit analysis method to evaluate the limit support pressure in undrained clay,considering horizontal pseudo-static seismic forces pointing outwards from the face. Moreover, the analyses employ both constant andlinearly increasing shear strengths with depth. The results are summarized as dimensionless stability charts and tables to facilitate theirinterpretation and future use for tunnel design. A new design equation has been developed to evaluate the stability of the tunnel faceconsidering the effect of seismic forces. Additionally, the effects of different parameters on the shape of the failure mechanism have beeninvestigated by analysing the distribution of shear dissipation.

关键词： Tunnel face stability Finite element limit analysis Undrained clay Seismic stability

TFN-FICFM:sEMG-Based Gesture Recognition Using Temporal Fusion Network and Fuzzy Integral-based Classifier Fusion

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Journal of Bionic Engineering 2024年第4期21卷 1878-1891页

作者： Fo Hu Kailun He Mengyuan Qian Mohamed amin Gouda College of Information Engineering Zhejiang University of TechnologyHangzhou310023China Department of Mechanical Engineering and Automation Northeastern UniversityShenyang110819China

Surface electromyography(sEMG)-based gesture recognition is a key technology in the field of human–computer ***,existing gesture recognition methods face challenges in effectively integrating discriminative temporal feature representations from sEMG *** this paper,we propose a deep learning framework named TFN-FICFM comprises a Temporal Fusion Network(TFN)and Fuzzy Integral-Based Classifier Fusion method(FICFM)to improve the accuracy and robustness of gesture ***,we design a TFN module,which utilizes an attention-based recurrent multi-scale convolutional module to acquire multi-level temporal feature representations and achieves deep fusion of temporal features through a feature pyramid ***,the deep-fused temporal features are utilized to generate multiple sets of gesture category prediction confidences through a feedback ***,we employ FICFM to perform fuzzy fusion on prediction confidences,resulting in the ultimate *** study conducts extensive comparisons and ablation studies using the publicly available datasets Ninapro DB2 and *** demonstrate that the TFN-FICFM model outperforms state-of-the-art methods in classification *** research can serve as a benchmark for sEMG-based gesture recognition and related deep learning modeling.

关键词： Gesture recognition sEMG Deep learning Temporal fusion Fuzzy fusion

Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System

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Computers, Materials & Continua 2024年第9期80卷 3507-3521页

作者： Farhan amin Gyu Sang Choi School of Computer Science and Engineering Yeungnam UniversityGyeongsan38541Republic of Korea

Mobile networks possess significant information and thus are considered a gold mine for the researcher’s *** call detail records(CDR)of a mobile network are used to identify the network’s efficacy and the mobile user’s *** is evident from the recent literature that cyber-physical systems(CPS)were used in the analytics and modeling of telecom *** addition,CPS is used to provide valuable services in smart *** general,a typical telecom company hasmillions of subscribers and thus generatesmassive amounts of *** this aspect,data storage,analysis,and processing are the key *** solve these issues,herein we propose a multilevel cyber-physical social system(CPSS)for the analysis and modeling of large internet *** proposed multilevel system has three levels and each level has a specific ***,raw Call Detail Data(CDR)was collected at the first ***,the data preprocessing,cleaning,and error removal operations were *** the second level,data processing,cleaning,reduction,integration,processing,and storage were ***,suggested internet activity record measures were *** proposed system initially constructs a graph and then performs network *** proposed CPSS system accurately identifies different areas of internet peak usage in a city(Milan city).Our research is helpful for the network operators to plan effective network configuration,management,and optimization of resources.

关键词： Cyber-physical social systems big data cyber-physical systems pervasive computing smart city big data management techniques

Gonorrhea cluster detection in Manitoba,Canada:Spatial,temporal,and spatio-temporal analysis

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Infectious Disease Modelling 2024年第4期9卷 1045-1056页

作者： amin Abed Mahmoud Torabi Zeinab Mashreghi Department of Community Health Sciences University of ManitobaWinnipegManitobaR3E 0W3Canada Department of Mathematics and Statistics University of WinnipegWinnipegManitobaR3B 2E9Canada

In Canada,Gonorrhea infection ranks as the second most prevalent sexually transmitted *** 2018,Manitoba reported an incidence rate three times greater than the national *** study aims to investigate the spatial,temporal,and spatio-temporal patterns of Gonorrhea infection in Manitoba,using individual-level laboratory-confirmed administrative data provided by Manitoba Health from 2000 to *** and sex patterns indicate that females are affected by infections at younger ages compared to ***,there is an increase in repeated infections in 2016,accounting for 16%of the total *** analysis at the 96 Manitoba regional health authority districts highlights significant positive spatial autocorrelation,demonstrating a clustered distribution of the *** districts of Manitoba and central Winnipeg were identified as significant *** analysis shows seasonal patterns,with higher infections in late summer and ***,spatio-temporal analysis reveals clusters during high-risk periods,with the most likely cluster in the northern districts of Manitoba from January 2006 to June 2014,and a secondary cluster in central Winnipeg from June 2004 to November *** study identifies that Gonorrhea infection transmission in Manitoba has temporal,spatial,and spatio-temporal *** findings provide vital insights for public health and Manitoba Health by revealing high-risk clusters and emphasizing the need for focused and localized prevention,control measures,and resource allocation.

关键词： Cluster detection Gonorrhea Infectious disease Spatial analysis Spatio-temporal analysis

Production optimization in a fractured carbonate reservoir with high producing GOR

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Energy Geoscience

Energy Geoscience 2024年第4期5卷 224-239页

作者： amin Izadpanahi Reza Azin Shahriar Osfouri Reza Malakooti Escola Politécnica Universidade de São PauloBrazil Department of Petroleum Engineering Faculty of Petroleum Gas&Petrochemical EngineeringPersian Gulf UniversityBushehrIran Department of Chemical Engineering Faculty of Petroleum Gas&Petrochemical EngineeringPersian Gulf UniversityBushehrIran Computer Modelling Group LondonUK

The Gas-Oil Ratio(GOR)is a crucial production parameter in oil *** increase in GOR results in higher gas production and lower oil production,potentially leading to well shut-ins due to economic *** study focuses on a real fractured oil field that requires urgent production operations to reduce the producing *** this study,the static model for the field was developed using commercial software,involving steps such as data collection,fault modeling,meshing,and statistical analysis to prepare for dynamic *** dynamic model incorporates geometry,gridding,and rock properties from the static model,utilizing a dual-porosity approach for the naturally fractured reservoir and the Peng-Robinson equation for fluid phase *** reservoir conditions,production history,and rock-fluid interactions were defined,with relative permeability curves indicating a water-wet reservoir and low critical gas saturation affecting the *** better understand the relationship between reservoir and production parameters,a detailed sensitivity analysis was performed using the Response Surface Methodology(RSM).Following the sensitivity analysis,a history matching process was conducted using the Designed Exploration and Controlled Evolution(DECE)optimizer to validate the model for future *** operational scenarios were defined to decrease the production GOR and enhance final recovery from the *** results indicate that the water injection scenario is effective in preventing the GOR increase by maintaining reservoir pressure,thereby sustaining production over a longer *** scenario also improves oil recovery by approximately 6%compared to the base ***,optimization was carried out using the DECE optimizer for each scenario to fine-tune the operational *** goal was to maximize oil revenue for each scenario during the optimization *** study stands out as one of the few that provides a comprehensive analysis

关键词： Reservoir simulation Sensitivity analysis Response surface methodology High gas-oil ratio Production optimization

Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability:A comprehensive systematic review

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Environmental Science and Ecotechnology 2024年第3期19卷 29-59页

作者： Simon Elias Bibri John Krogstie amin Kaboli Alexandre Alahi School of Architecture Civil and Environmental Engineering(ENAC)Civil Engineering Institute(IIC)Visual Intelligence for Transportation(VITA)Swiss Federal Institute of Technology Lausanne(EPFL)LausanneSwitzerland Department of Computer Science Norwegian University of Science and Technology(NTNU)TrondheimNorway School of Engineering Institute of Mechanical EngineeringSwiss Federal Institute of Technology Lausanne(EPFL)LausanneSwitzerland

The recent advancements made in the realms of Artificial Intelligence(AI)and Artificial Intelligence of Things(AIoT)have unveiled transformative prospects and opportunities to enhance and optimize the environmental performance and efficiency of smart *** strides have,in turn,impacted smart eco-cities,catalyzing ongoing improvements and driving solutions to address complex environmental *** aligns with the visionary concept of smarter eco-cities,an emerging paradigm of urbanism characterized by the seamless integration of advanced technologies and environmental ***,there remains a significant gap in thoroughly understanding this new paradigm and the intricate spectrum of its multifaceted underlying *** bridge this gap,this study provides a comprehensive systematic review of the burgeoning landscape of smarter eco-cities and their leadingedge AI and AIoT solutions for environmental *** ensure thoroughness,the study employs a unified evidence synthesis framework integrating aggregative,configurative,and narrative synthesis *** the core of this study lie these subsequent research inquiries:What are the foundational underpinnings of emerging smarter eco-cities,and how do they intricately interrelate,particularly urbanism paradigms,environmental solutions,and data-driven technologies?What are the key drivers and enablers propelling the materialization of smarter eco-cities?What are the primary AI and AIoT solutions that can be harnessed in the development of smarter eco-cities?In what ways do AI and AIoT technologies contribute to fostering environmental sustainability practices,and what potential benefits and opportunities do they offer for smarter eco-cities?What challenges and barriers arise in the implementation of AI and AIoT solutions for the development of smarter eco-cities?The findings significantly deepen and broaden our understanding of both the significant potential of AI and AIoT technologi

关键词： Smarter eco-cities Smart eco-cities Smart cities Artificial intelligence Artificial intelligence of things Machine learning Environmental sustainability Climate change