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Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions

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Pedosphere 2022年第5期32卷 718-732页

作者： Khabat khosravi Phuong T.T.NGO Rahim BARZEGAR John QUILTY Mohammad T.AALAMI Dieu T.BUI Department of Watershed Management Engineering Ferdowsi University of MashhadMashhad 93(Iran) Department of Earth and Environment Florida International UniversityMiami 33199(USA) Institute of Research and Development Duy Tan UniversityDa Nang 550000(Vietnam) Department of Bioresource Engineering McGill UniversitySte Anne de Bellevue QC H9X(Canada) Faculty of Civil Engineering University of TabrizTabriz 51(Iran) Department of Civil and Environmental Engineering University of WaterlooWaterloo N2L 3G1(Canada) Department of Business and IT University of South-Eastern NorwayNotodden 3603(Norway)

Water infiltration into soil is an important process in hydrologic cycle;however,its measurement is difficult,time-consuming and *** and physical models have been developed to predict cumulative infiltration(CI),but are often *** this study,several novel standalone machine learning algorithms(M5Prime(M5P),decision stump(DS),and sequential minimal optimization(SMO))and hybrid algorithms based on additive regression(AR)(i.e.,AR-M5P,AR-DS,and AR-SMO)and weighted instance handler wrapper(WIHW)(i.e.,WIHW-M5P,WIHW-DS,and WIHW-SMO)were developed for CI *** Soil Conservation Service(SCS)model developed by the United States Department of Agriculture(USDA),one of the most popular empirical models to predict CI,was considered as a ***,154 measurements of CI(explanatory/input variables)were taken from 16 sites in a semi-arid region of Iran(Illam and Lorestan provinces).Six input variable combinations were considered based on Pearson correlations between candidate model inputs(time of measuring and soil bulk density,moisture content,and sand,clay,and silt percentages)and *** dataset was divided into two subgroups at random:70%of the data were used for model building(training dataset)and the remaining 30%were used for model validation(testing dataset).The various models were evaluated using different graphical approaches(bar charts,scatter plots,violin plots,and Taylor diagrams)and quantitative measures(root mean square error(RMSE),mean absolute error(MAE),Nash-Sutcliffe efficiency(NSE),and percent bias(PBIAS)).Time of measuring had the highest correlation with CI in the study *** best input combinations were different for different *** results showed that all hybrid algorithms enhanced the CI prediction accuracy compared to the standalone *** AR-M5P model provided the most accurate CI predictions(RMSE=0.75 cm,MAE=0.59 cm,NSE=0.98),while the SCS model had the lowest performance(RMSE=4.77 cm,MAE=2.64 cm,NSE=

关键词： additive regression hybrid algorithms empirical model soil water infiltration weighted instances handler wrapper

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Effects of compocasting process parameters on microstructural characteristics and tensile properties of A356-SiC_p composites

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Transactions of Nonferrous Metals Society of China 2014年第8期24卷 2482-2488页

作者： Hamed khosravi Hamed BAKHSHI Erfan SALAHINEJAD Faculty of Materials Science and Engineering K.N. Toosi University of Technology

The effects of compocasting process parameters on some structural and tensile characteristics of the A356-10% SiCp (volume fraction) composites were studied. Semisolid stirring was carried out at temperatures of 590, 600 and 610 °C with stirring speeds of 200, 400 and 600 r/min for 10, 20 and 30 min. The distribution of the SiC particles within the matrix, porosity content and tensile properties of the obtained samples were examined. The structural evaluations show that by increasing the stirring time and decreasing the stirring temperature, the uniformity in the particle distribution is improved;however, by increasing the stirring speed the homogeneity firstly increases and then declines. It is also found that by increasing all of the processing parameters, the porosity content is enhanced. From the tensile characteristics viewpoint, the optimum values of the speed, temperature and time are found to be 400 r/min, 590 °C and 30 min, respectively. The contribution of the reinforcement distribution uniformity prevails over that of the porosity level to the tensile properties.

关键词： A356-SiC_p composite semisolid stirring compocasting porosity reinforcement distribution tensile properties

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Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditions

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International Journal of Sediment Research 2020年第2期35卷 115-124页

作者： Khabat khosravi Amir H.N.Chegini James R.Cooper Prasad Daggupati Andrew Binns Luca Mao School of Engineering University of Guelph School of the Built Environment Heriot-Watt University Department of Geography and Planning School of Environmental SciencesUniversity of Liverpool Department of Geography University of Lincoln

Bed-load transport plays a critical role in river morphological change and has an important impact on river *** there is good understanding of the role of the variation of river bed grain size on transport dynamics in equilibrium conditions,much less is understood for non-equilibrium conditions when the channel is either aggrading or *** particular,the relative role of different grain sizes in the promotion and hindering of the transport of coarse and fine fractions in a degrading channel has yet to be *** current study attempts to provide new understanding through a series of flume experiments done using uniform and graded sediment *** experiments revealed coarser grain-size fractions for a poorly-sorted sediment,relative to uniform-sized sediment,reduced the transport of finer grains and finer fractions enhanced the transport of coarse *** hinderingpromotion effect,caused by relative hiding and exposure of finer and coarse fractions,increased with bed slope and decreased with relative *** particular,as relative submergence increased,the graded fractions tended towards behaving more like their unifo rm-sized ***,the bed-load parameter of the graded fractions increased more with a rise in bed slope than observed for the uniformsized *** results revealed,for degrading channel conditions,such as downstream of a dam,bed-load equations developed for uniform bed sediment are inappropriate for use in natural river systems,particularly in mountain ***,changes in river bed composition due to activities that enhance the input of hill-slope sediment,such as fire,logging,and agricultural development,are likely to cause significant changes in river morphology.

关键词： Graded sediment Exposure Hiding Flume experiments Non-equilibrium

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High-Performance Flow Classification of Big Data Using Hybrid CPU-GPU Clusters of Cloud Environments

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Tsinghua Science and Technology 2024年第4期29卷 1118-1137页

作者： Azam Fazel-Najafabadi Mahdi Abbasi Hani H.Attar Ayman Amer Amir Taherkordi Azad Shokrollahi Mohammad R.khosravi Ahmed A.Solyman Department of Computer Engineering Faculty of EngineeringBu-Ali Sina UniversityHamedan ***Iran Department of Energy Engineering Zarqa UniversityZarqa 13132Jordan Department of Informatics University of OsloOslo 0316Norway Department of Computer Science MalmöUniversityMalmö20506Sweden Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 261100China Department of Electrical and Electronics Engineering NişantaşıUniversityIstanbul 34481742Türkiye

The network switches in the data plane of Software Defined Networking (SDN) are empowered by an elementary process, in which enormous number of packets which resemble big volumes of data are classified into specific flows by matching them against a set of dynamic rules. This basic process accelerates the processing of data, so that instead of processing singular packets repeatedly, corresponding actions are performed on corresponding flows of packets. In this paper, first, we address limitations on a typical packet classification algorithm like Tuple Space Search (TSS). Then, we present a set of different scenarios to parallelize it on different parallel processing platforms, including Graphics Processing Units (GPUs), clusters of Central Processing Units (CPUs), and hybrid clusters. Experimental results show that the hybrid cluster provides the best platform for parallelizing packet classification algorithms, which promises the average throughput rate of 4.2 Million packets per second (Mpps). That is, the hybrid cluster produced by the integration of Compute Unified Device Architecture (CUDA), Message Passing Interface (MPI), and OpenMP programming model could classify 0.24 million packets per second more than the GPU cluster scheme. Such a packet classifier satisfies the required processing speed in the programmable network systems that would be used to communicate big medical data.

关键词： OpenMP Compute Unified Device Architecture(CUDA) Message Passing Interface(MPI) packet classification medical data tuple space algorithm Graphics Processing Unit(GPU)cluster

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Multi-step ahead soil temperature forecasting at different depths based on meteorological data:Integrating resampling algorithms and machine learning models

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Pedosphere 2023年第3期33卷 479-495页

作者： Khabat khosravi Ali GOLKARIAN Rahim BARZEGAR Mohammad T.AALAMI Salim HEDDAM Ebrahim OMIDVAR Saskia D.KEESSTRA Manuel LÓPEZ-VICENTE Department of Earth and Environment Florida International UniversityMiami 33199(USA) Department of Watershed Management Engineering Ferdowsi University of MashhadMashhad 91779-48974(Iran) Department of Bioresource Engineering McGill University21111 LakeshoreSte Anne de BellevueMontreal H9X 3V9(Canada) Department of Geography&Environmental Studies Wilfrid Laurier UniversityWaterloo N2L 3G1(Canada) Faculty of Civil Engineering University of Tabriz29 Bahman BlvTabriz 51666-16471(Iran) Laboratory of Research in Biodiversity Interaction Ecosystem and Biotechnology University 20 Août 1955Route El HadaikBP 26Skikda 21000(Algeria) Department of Watershed Management Engineering University of KashanKashan 87317-53153(Iran) Team Soil Water and Land UseWageningen Environmental ResearchDroevendaalsesteeg 3Wageningen 6708RC(Netherlands) Departamento de Análisis Geográfico Regional y Geografía Física Facultad de Filosofía y LetrasCampus Universitario de CartujaUniversidad de GranadaGranada 18071(Spain) Group Aquaterra CICAUniversidade da CoruñaAs Carballeiras s/nCampus de ElviñaA Coruña 15071(Spain)

Direct soil temperature(ST)measurement is time-consuming and costly;thus,the use of simple and cost-effective machine learning(ML)tools is *** this study,ML approaches,including KStar,instance-based K-nearest learning(IBK),and locally weighted learning(LWL),coupled with resampling algorithms of bagging(BA)and dagging(DA)(BA-IBK,BA-KStar,BA-LWL,DA-IBK,DA-KStar,and DA-LWL)were developed and tested for multi-step ahead(3,6,and 9 d ahead)ST *** addition,a linear regression(LR)model was used as a benchmark to evaluate the results.A dataset was established,with daily ST time-series at 5 and 50 cm soil depths in a farmland as models’output and meteorological data as models’input,including mean(T_(mean)),minimum(Tmin),and maximum(T_(max))air temperatures,evaporation(Eva),sunshine hours(SSH),and solar radiation(SR),which were collected at Isfahan Synoptic Station(Iran)for 13 years(1992–2005).Six different input combination scenarios were selected based on Pearson’s correlation coefficients between inputs and outputs and fed into the *** used 70%of the data to train the models,with the remaining 30%used for model evaluation via multiple visual and quantitative ***?ndings showed that T_(mean)was the most effective input variable for ST forecasting in most of the developed models,while in some cases the combinations of variables,including T_(mean)and T_(max)and T_(mean),T_(max),Tmin,Eva,and SSH proved to be the best input *** the evaluated models,BA-KStar showed greater compatibility,while in most cases,BA-IBK and-LWL provided more accurate results,depending on soil *** the 5 cm soil depth,BA-KStar had superior performance(i.e.,Nash-Sutcliffe efficiency(NSE)=0.90,0.87,and 0.85 for 3,6,and 9 d ahead forecasting,respectively);for the 50 cm soil depth,DA-KStar outperformed the other models(i.e.,NSE=0.88,0.89,and 0.89 for 3,6,and 9 d ahead forecasting,respectively).The results con?rmed that all hybrid models had higher prediction

关键词： bootstrap aggregating algorithm data mining disjoint aggregating algorithm ensemble modeling hybrid model

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Black radish root extract alleviates sodium valproate-induced liver damage via inhibiting mitochondrial membrane potential collapse and oxidative stress in mice

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Asian Pacific Journal of Tropical Biomedicine 2024年第7期14卷 298-306页

作者： Mohammad Hadi Zarei Sami Akbulut Maryam Zafari Elham Saghaei Zahra Lorigooini Hossein AminiKhoei Somaye khosravi Elham Bijad Medical Plants Research Center Basic Health Sciences InstituteShahrekord University of Medical SciencesShahrekordIran Department of Liver Transplant Institute and Biostatistics Inonu University Faculty of Medicine44280MalatyaTurkey Student Research Committee Shahrekord University of Medical SciencesShahrekordIran Physiology and Pharmacology Department School of MedicineShahrekord University of Medical SciencesShahrekordIran Department of Anatomical Sciences School of MedicineShahrekord University of Medical SciencesShahrekordIran

Objective:To explore the effect of black radish(Raphanus sativus *** niger)root extract on liver enzymes,oxidative stress,and histopathological alterations in mice with sodium valproate-induced ***:Thirty-two mice were divided into four groups:the control group received drinking water by gavage,the second group was administered with 100 mg/kg of sodium valproate,the third group received 300 mg/kg of black radish root extract,and the fourth group was given both sodium valproate(100 mg/kg)and black radish root extract(300 mg/kg).After 28 days,the mice were euthanized,and serum levels of aspartate aminotransferase(AST),alanine aminotransferase(ALT),and alkaline phosphatase(ALP),along with liver malondialdehyde(MDA),reactive oxygen species(ROS),mitochondrial parameters,tumor necrosis factor-alpha(TNF-α)gene expression,and histopathological changes were ***:Sodium valproate caused hepatic damage in mice,characterized by elevated serum levels of liver enzymes,increased MDA and ROS levels and TNF-αgene expression,as well as histopathological *** black radish root extract significantly alleviated sodium valproate-caused hepatic injury by decreasing the serum levels of ALT and AST,MDA,ROS,TNF-αgene expression,as well as mitochondrial impairment,but did not have a significant effect on sodium valproate-induced histopathological ***:The black radish root extract demonstrates protective effects against sodium valproate-induced liver injury,possibly through mitigating oxidative stress,mitochondrial impairment,and inflammatory mediator expression.

关键词： Black radish Raphanus sativus Sodium valproate Hepatotoxicity Oxidative stress Anti-inflammation

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On the Relationship between Iranian EFL Students’ Writing Strategies and Writing Ability

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Journal of Linguistics and Education Research 2019年第1期2卷 1-7页

作者： Behrooz Ghoorchaei Maryam khosravi Department of English Farhangian UniversityTehranIran Islamic Azad University of Gorgan Iran

This study aimed at investigating the relationship between writing strategies,and writing ability of Iranian EFL *** participants were 120 students learming English in the Iranian EFL *** were gathered by means of a writing strategies questionnaire and an IELTS writing *** results of Pearson correlation test revealed that there was a statistically significant relationship between writing strategies,and writing abilties of the *** results have some implications for teaching writing in the EFL context.

关键词： Writing strategy Writing ability EFL students

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Mobile blood collection sites and their roles in providing safe andadequate supply： A six-year experience

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Frontiers in Biology 2018年第3期13卷 226-234页

作者： Mostafa Paridar Abbas khosravi Mohammad-Ali Jalali-Far Sima Zolfaghari Omid Kiani Ghaleh Sardi Mehdi Sajadi Deputy of Management and Resources Development Ministry of Health and Medical Education Tehran Iran Transfusion Research Center High Institute for Research and Education in Transfusion Medicine Tehran Iran Department of Hematolog Iran University of Medical Sciences Tehranlran Faculty of Allied Medicine Bitjand University of Medical Sciences Birjand Iran

The determination of the role of mobile sites, as compared with fixed sites, in providing safe blood supply will help with the planning of future programs. This retrospective study was carried out at the Khuzestan Blood Transfusion Organization from 2007 to 2012. Samples of the blood collected at mobile sites and fixed sites were compared. Comparisons took into consideration noticeable trends as well as the prevalence of major TTIs including HIV, HBV and HCV. The total number of blood donations from 2007 to 2012 was 621117 out of which 89590 (14.43%) were collected from mobile sites. The overall blood donation index was estimated at 23.8 per 1000 population. The prevalence of HIV, HBV and HCV in mobile site donations was 5.31, 320.34 and 117.4, and in fixed sites was 5.31, 214.72 and 104.83 per 100000 donations respectively. HBV prevalence in mobile sites was significantly higher than in fixed sites (p = 0.014). The blood donation index in Khuzestan province is much better when compared with areas of similar socioeconomic status as well as neighboring countries. The allotment of blood units collected by mobile teams is lower than that of national reports. In addition, the prevalence of TTIs in mobile site blood donations was higher than at fixed sites.

关键词： fixed sites, mobile sites, blood donations, TTIs, Iran

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Higher order aberration comparison between two aspherical intraocular lenses: MC6125AS and Akreos advanced optics

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International Journal of Ophthalmology(English edition) 2015年第3期8卷 565-568页

作者： Mohammad Taher Rajabi Sara Korouji Mahgol Farjadnia Mohammad Naderan Mohammad Bagher Rajabi Bahram khosravi Seyed Mehdi Tabatabaie Eye Research Center Farabi Eye Hospital Qazvin SquareTehran University of Medical Sciences

AIM: To compare higher order aberrations in two aspherical intraocular lenses(IOLs): Akreos advanced optics(AO) and Dr. Schmidt Microcrystalline 6125 aspheric anterior surface(MC6125AS) with each other. METHODS: Forty eyes of 39 patients underwent phacoemulsification and Akreos AO and MC6125 AS were implanted in their eyes in a random manner. Three months post-operatively, higher order aberrations including spherical aberration, coma aberration, and total aberrations were measured and ***: The total aberration was 0.24±0.17 in eyes with Dr. Schmidt and 0.20 ±0.01 in eyes with Akreos AO(P =0.361). The mean of coma aberration was 0.17 ±0.21 and 0.09 ±0.86 in Dr. Schmidt and Akreos lenses,respectively(P =0.825). Total spherical aberration was almost the same in both groups(mean: 0.05, P =0.933).Best corrected visual acuity in Akreos AO(0.10±0.68) and Dr. Schmidt(0.09±0.67) did not differ significantly(P =0.700). CONCLUSION: There is no statistically significant difference in the higher order aberrations between these two aspherical lenses.

关键词： aspherical lenses higher order aberrations cataract intraocular lens

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Nanospheroidal particles as convenient nanoantenna elements

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Chinese Optics Letters 2013年第11期11卷 96-99页

作者： M.khosravi R.A.Sadeghzadeh M.S.Abrishamian Department of Electrical and Computer Engineering K. N. Toosi University of Technology

A highly tunable optical nanoantenna element is proposed through gradual transformation from a sphere to a prolate spheroid. This new element induces field enhancement and an increase in resonance frequency. Rather than a purely metallic material, we propose the use of a metal-coated dielectric spheroid as a nanoelement because of its flexibility. We show that a spheroidal element enhances the near-field better than its rod and sphere counterparts. As such, spheroidal elements are good candidates for improving solar-cell performance.

关键词： Nanospheroidal particles as convenient nanoantenna elements

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