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Assessment of assembly shape and geometric effects on amplification of shear waves using discrete element method

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Particuology 2022年第7期20卷 85-99页

作者： Leila Karbor Seyed Majdeddin Mir Mohammad Hosseini ahad Bagherzadeh Khalkhali Civil and Environmental Engineering Faculty Amirkabir University of TechnologyTehranIran Civil Engineering Faculty Science and Research BranchIslamic Azad UniversityTehranIran

The discrete element method(DEM)is a capable tool used to simulate shear wave propagation in granular assemblies for many *** have studied assembly shapes such as rectangles(in 2D simulations)or cylinders and cubes(in 3D simulations).This paper aimed to qualify the effect of assembly shape on the shear wave propagation and maximum amplification in the vertical plane(horizontal and vertical directions)caused by this *** this end,shear wave propagations in different assembly shapes such as rectangle,trapezium,and triangle with rigid boundary conditions were simulated.A sine wave pulse was applied with a point source by moving a particle as the transmitter *** evaluate the shear wave velocity of the assemblies,the transmitter and receiver particles were *** the simulations were performed with 2D DEM which is a useful tool to determine the amount and location of the maximum amplification factor of the assembly in both horizontal and vertical *** advantage of this study was assessing the effect of parameters such as input wave frequency,assembly height,shape,and aspect ratios on the amplification of the input waves.

关键词： Wave propagation Granular assembly DEM Assembly shape Shear wave

Gut microbiome in non-alcoholic fatty liver disease associated hepatocellular carcinoma:Current knowledge and potential for therapeutics

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World Journal of Gastrointestinal Oncology 2022年第5期14卷 947-958页

作者： Imaad Said Hassan ahad Adnan Said Brown University ProvidenceRI 02912United States Kansas University LawrenceKS 66045United States Division of Gastroenterology and Hepatology Department of MedicineWilliam S.Middleton VAMCUniversity of Wisconsin School of Medicine and Public HealthMadisonWI 53705United States

Metabolic diseases such as nonalcoholic fatty liver disease(NAFLD)are rising in incidence and are an increasingly common cause of cirrhosis and hepatocellular carcinoma(HCC).The gut microbiome is closely connected to the liver via the portal vein,and has recently been identified as a predictor of liver disease *** in NAFLD,cirrhosis and HCC have identified certain microbial signatures associated with these diseases,with the disease-associated microbiome changes collectively referred to as *** pathophysiologic underpinnings of these observations are an area of ongoing investigation,with current evidence demonstrating that the gut microbiome can influence liver disease and carcinogenesis via effects on intestinal permeability(leaky gut)and activation of the innate immune *** the innate immune system,pathogen recognition receptors(Toll like receptors)on resident liver cells and macrophages cause liver inflammation,fibrosis,hepatocyte proliferation and reduced antitumor immunity,leading to chronic liver disease and ***-associated changes include increase in secondary bile acids and reduced expression of FXR(nuclear receptor),which have also been associated with deleterious effects on lipid and carbohydrate metabolism associated with progressive liver *** experimental and clinical studies are needed in different populations to examine these questions *** role of therapeutics that modulate the microbiome is an emerging field with experimental studies showing the potential of diet,probiotics,fecal microbiota transplantation and prebiotics in improving liver disease in experimental *** studies are ongoing with preliminary evidence showing improvement in liver enzymes and *** microbial profile is different in responders to cancer immunotherapy including liver cancer,but whether or not manipulation of the microbiome can be utilized to affect response is being investigated.

关键词： Microbiome Gut microbiome Hepatocellular carcinoma Nonalcoholic fatty liver disease Pathophysiology Treatment

Geochemical analysis of multi-element in archaeological soils from Tappe Rivi in Northeast Iran

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Acta Geochimica 2022年第1期41卷 132-146页

作者： Abdulmannan Rouhani Hamidreza Azimzadeh ahad Sotoudeh Judith Thomalsky Hojat Emami Graduate of School of Natural Resources and Desert Studies Department of Environmental ScienceYazd UniversityYazdIran German Archaeological Institute Tehran BranchTehranIran Department of Soil Science Ferdowsi University of MashhadMashhadIran

Multi-element analysis in historical sites is a major issue in archaeological studies;however,this approach is almost unknown among Iranian *** multi-element analysis of soil is very important to evaluate anthropogenic *** aim of this study consists of assessing the potential usefulness of multi-elemental soil analysis,obtained by Analytical Jena atomic absorption spectrophotometer(AAS) and ICP-MS,to recognize ancient anthropogenic features on the territory of Tappe Rivi(North Khorasan,Iran).For that purpose,a total of 80 ancient soil samples were sampled from each soil horizon and cultural *** research involved Fe,Al,Cd,Cu,Ni,Co,Cr,Pb,and P which trace element samples were extracted according to the International Standard ISO 11466 and phosphorus samples by Olsen ***,the contamination of the soils was assessed based on enrichment factors(EFs) by using Fe as a reference *** geochemical/archaeological approach highlights that the content of most elements in the Parthian and Sassanid ages were significantly higher than the contents of the elements in other zones,which shows that by the development of the eras,the content of the elements has also ***,the accumulation of metals in the Rivi site was significantly higher than in the control *** the sampled zones,enrichment factor(EF) indicated that the enrichment of Cu and phosphate at the Parthian and Sassanid had the highest *** result is important because it shows that the amount of metals and human activities are directly related to each other during different ages.

关键词： Tappe Rivi Multi-element Phosphorus Ancient human impact Samalghan plain

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Investigation of factors affecting rural drinking water consumption using intelligent hybrid models

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Water Science and Engineering 2023年第2期16卷 175-183页

作者： Alireza Mehrabani Bashar Hamed Nozari Safar Marofi Mohamad Mohamadi ahad ahadiiman Department of Water Science and Engineering Faculty of AgricultureBu-Ali Sina UniversityHamedan 65178-38695Iran University of Kurdistan Sanandaj 66177-15175Iran Sustainable Development Office of Hamedan Water and Wastewater Company Hamedan 65159-14478Iran

Identifying the factors affecting drinking water consumption is essential to the rational management of water resources and effective environment protection. In this study, the effects of the factors on rural drinking water demand were studied using the adaptive neuro-fuzzy inference system (ANFIS) and hybrid models, such as the ANFIS-genetic algorithm (GA), ANFIS-particle swarm optimization (PSO), and support vector machine (SVM)-simulated annealing (SA). The rural areas of Hamadan Province in Iran were selected for the case study. Five drinking water consumption factors were selected for the assessment according to the literature, data availability, and the characteristics of the study area (such as precipitation, relative humidity, temperature, the number of subscribers, and water price). The results showed that the standard errors of ANFIS, ANFIS-GA, ANFIS-PSO, and SVM-SA were 0.669, 0.619, 0.705, and 0.578, respectively. Therefore, the hybrid model SVM-SA outperformed other models. The sensitivity analysis showed that of the parameters affecting drinking water consumption, the number of subscribers significantly affected the water consumption rate, while the average temperature was the least significant factor. Water price was a factor that could be easily controlled, but it was always one of the least effective parameters due to the low water fee.

关键词： ANFIS Water distribution network Simulated annealing algorithm Support vector machine Adaptive neuro-fuzzy inference system

Comparison of CNN-based deep learning architectures for rice diseases classification

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Artificial Intelligence in Agriculture 2023年第3期9卷 22-35页

作者： Md Taimur ahad Yan Li Bo Song Touhid Bhuiyan Department of Computer Science and Engineering Daffodil International UniversitySavarBangladesh School of Mathematics Physics and Computing University of Southern QueenslandToowoombaAustralia School of Engineering University of Southern Queensland ToowoombaAustralia Department of Computer Science and Engineering Faculty of Science and Information TechnologyDaffodil International UniversityBangladesh

Although convolutional neural network(CNN)paradigms have expanded to transfer learning and ensemble models from original individual CNN architectures,few studies have focused on the performance comparison of the applicability of these techniques in detecting and localizing rice ***,most CNN-based rice disease detection studies only considered a small number of diseases in their *** these shortcomings were addressed in this *** this study,a rice disease classification comparison of six CNN-based deep-learning architectures(DenseNet121,Inceptionv3,MobileNetV2,resNext101,Resnet152V,and Seresnext101)was conducted using a database of nine of the most epidemic rice diseases in *** addition,we applied a transfer learning approach to DenseNet121,MobileNetV2,Resnet152V,Seresnext101,and an ensemble model called DEX(Densenet121,EfficientNetB7,and Xception)to compare the six individual CNN networks,transfer learning,and ensemble *** results suggest that the ensemble framework provides the best accuracy of 98%,and transfer learning can increase the accuracy by 17%from the results obtained by Seresnext101 in detecting and localizing rice leaf *** high accuracy in detecting and categorisation rice leaf diseases using CNN suggests that the deep CNN model is promising in the plant disease detection domain and can significantly impact the detection of diseases in real-time agricultural *** research is significant for farmers in rice-growing countries,as like many other plant diseases,rice diseases require timely and early identification of infected diseases and this research develops a rice leaf detection system based on CNN that is expected to help farmers to make fast decisions to protect their agricultural yields and quality.

关键词： Deep learning Convolutional neural networks(CNNs) Transfer learning Plant leaf disease detection

Deep learning long short-term memory combined with discrete element method for porosity prediction in gravel-bed rivers

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International Journal of Sediment Research 2023年第1期38卷 128-140页

作者： Duong Tran Anh ahad Hasan Tanim Daniel Prakash Kushwaha Quoc Bao Pham Van Hieu Bui HUTECH University Center for River Harbor and Landslide Research Chittagong University of Engineering & Technology Govind Ballabh Pant University of Agriculture and Technology Institute of Applied Technology Thu Dau Mot University Faculty of Mechanical Engineering Thuyloi University

The porosity of gravel riverbed material often is an essential parameter to estimate the sediment transport rate, groundwater-river flow interaction, river ecosystem, and fluvial geomorphology. Current methods of porosity estimation are time-consuming in simulation. To evaluate the relation between porosity and grain size distribution(GSD), this study proposed a hybrid model of deep learning Long Short-Term Memory(LSTM) combined with the Discrete Element Method(DEM). The DEM is applied to model the packing pattern of gravel-bed structure and fine sediment infiltration processes in threedimensional(3D) space. The combined approaches for porosity calculation enable the porosity to be determined through real time images, fast labeling to be applied, and validation to be done. DEM outputs based on the porosity dataset were utilized to develop the deep learning LSTM model for predicting bed porosity based on the GSD. The simulation results validated with the experimental data then segregated into 800 cross sections along the vertical direction of gravel pack. Two DEM packing cases, i.e., clogging and penetration are tested to predict the porosity. The LSTM model performance measures for porosity estimation along the z-direction are the coefficient of determination(R~2), root mean squared error(RMSE), and mean absolute error(MAE) with values of 0.99, 0.01, and 0.01 respectively, which is better than the values obtained for the Clogging case which are 0.71, 0.14, and 0.03, respectively. The use of the LSTM in combination with the DEM model yields satisfactory results in a less complex gravel pack DEM setup, suggesting that it could be a viable alternative to minimize the simulation time and provide a robust tool for gravel riverbed porosity prediction. The simulated results showed that the hybrid model of the LSTM combined with the DEM is reliable and accurate in porosity prediction in gravel-bed river test samples.

关键词： Numerical modeling Discrete element method LSTM Bed porosity Gravel-bed river

Internal Combustion Engine as a New Source for Enhancing Distribution System Resilience

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Journal of Modern Power Systems and Clean Energy 2021年第5期9卷 1130-1136页

作者： ahad Abessi Shahram Jadid Department of Electrical Engineering Iran University of Science and TechnologyTehranIran

Enhancing distribution system resilience is a new challenge for *** distribution loads,especially the residential customers and high-priority loads after disasters,is vital for this *** this paper,the internal combustion engine(ICE)vehicles are firstly introduced as valuable backup energy sources in the aftermath of disasters and the use of this technology is ***,the improvement of distribution system resilience is investigated through supplying smart residential customers and injecting extra power to the main *** this method,it is assumed that the infrastructure of distribution system is partially damaged(common cases)and it can be restored in less than one *** extra power of residential customer can be delivered to other loads.A novel formulation for increasing the injected power of the smart home to the main grid using ICE vehicles is ***,the maximum backup duration in case of extensive damages in the distribution system is calculated for some commercial ICE *** this case,the smart home cannot deliver extra energy to the main grid because of its *** results demonstrate the effectiveness of the proposed method for increasing backup power during power *** is also shown that ICE vehicles can supply residential customers for a reasonable amount of time during a power outage.

关键词： Internal combustion engine(ICE) smart home building energy management system(BEMS) distribution system resilience

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Exploring the criteria and factors affecting firefighters’resilience:A qualitative study

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Chinese Journal of Traumatology 2022年第2期25卷 107-114页

作者： ahad Heydari Abbas Ostadtaghizadeh Ali Ardalan Abbas Ebadi Iraj Mohammadfam Davoud Khorasani-Zavareh Department of Health in Emergencies and Disasters School of Public HealthTehran University of Medical SciencesTehranIran Behavioral Sciences Research Center Life Style InstituteBaqiyatallah University of Medical SciencesTehranIran Nursing Faculty Baqiyatallah University of Medical SciencesTehranIran Center of Excellence for Occupational Health Occupational Health and Safety Research CenterSchool of Public HealthHamadan University of Medical SciencesHamadanIran Workplace Health Promotion Research Center(WHPRC) Shahid Beheshti University of Medical SciencesTehranIran Department of Health in Emergencies and Disasters School of Public Health and SafetyShahid Beheshti University of Medical SciencesTehranIran

Purpose:Firefighters are exposed to high levels of occupational risk factors,such as safety risks,chemical,ergonomic,and physical hazards that may jeopardize their *** overcome these hazards,firefighters must be physically,mentally,and personally fit to *** study aimed to explore the criteria and factors affecting firefighters'resilience based on stakeholders’***:This qualitative study was carried out using conventional content *** total,21 face-to-face interviews were conducted by firefighters who were experienced in the *** interviews were carried out from July 2019 to January *** data were collected using 3 unstructured interviews and then resumed by 18 semi-structured *** analysis was done using Graneheim ***:The participants had more than 5 years of experience in the field of search and *** extracted codes through data analysis were classified into 3 main categories(individual,organizational,and social factors),9 sub-categories(mental,physical,occupational,managerial,colleagues-related,equipment-related,environmental,community-related,and family-related factors),as well as 19 sub-sub-categories and 570 ***:Firefighters'personality,physical condition,behavior and psychological characteristics can affect their resilience along with organizational and management factors that play significant role in people's *** a tool for assessing resilience can help decision makers to have a real depict of firefighters'job qualifications.

关键词： Qualitative research Safety Resilience Firefighters

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FUZZY LOGIC BASED UNCERTAINTY REPRESENTATION AND SIMULATION IN A FLEXIBLE ASSEMBLY SYSTEM

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International Journal of Modeling, Simulation, and Scientific Computing 2012年第3期3卷 118-139页

作者： ahad ALI A.Leon Linton Department of Mechanical Engineering Lawrence Technological University 21000 West Ten Mile Road Southfield Michigan 48075USA

This paper provides intelligent simulation approach using manufacturing uncertainty in the form of simulation intelligence to improve the performances of manufacturing production *** shows how simulation can be used to evaluate alternative designs in an uncertain manufacturing *** rule-based manufacturing uncertainties are addressed in this study.A combination of product mix and production volume is analyzed using intelligent simulation model for an optimal production *** intelligent simulation approach would improve the modeling accuracy in terms of more realistic presentation of uncertain *** proposed intelligent simulation modeling shows significant improvement and validated with real life application.

关键词： Simulation manufacturing systems uncertainty product mix modeling