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Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads

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Frontiers of Structural and Civil Engineering 2022年第5期16卷 657-666页

作者： Hamid MIRZAHOSSEIN Milad SASHURPOUR Seyed mohsen HOSSEINIAN Vahid najafi Moghaddam GILANI Civil–Transportation Planning Department Faculty of Technical and EngineeringImam Khomeini International University(IKIU)Qazvin 34148-96818Iran School of Civil Engineering Iran University of Science and Technology(IUST)Tehran 13114-16846Iran

The purpose of this research was to develop statistical and intelligent models for predicting the severity of road traffic accidents(RTAs)on rural *** Logistic Regression(MLR)was used to predict the likelihood of *** more accurate prediction,Multi-Layer Perceptron(MLP)and Radius Basis Function(RBF)neural networks were *** indicated that in MLR,the model obtained from the backward method with the correct percent of 84.7%and R2 value of 0.893 was the best method for predicting the likelihood of ***,MLR showed that the variables of not paying attention to the front not paying attention to the frontroad ahead,followed byand then vehicle-motorcycle/bike accidents were the greatest *** the models,MLP had a better performance,so that the prediction accuracy of MLR,MLP,and RBF were 84.7%,96.7%,and 92.1%,*** model,due to higher accuracy,showed that the variable of reason of accident had the highest effect on the prediction of accidents,and considering MLR results,the variables of not paying attention to the front and then vehicle-motorcycle/bike accidents had the most influence on the occurrence of ***,motorcyclists and cyclists are more prone to accidents,and appropriate solutions should be adopted to enhance their safety.

关键词： safety rural accidents multiple logistic regression artificial neural networks

Presentation of regression analysis,GP and GMDH models to predict the pedestrian density in various urban facilities

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Frontiers of Structural and Civil Engineering 2022年第2期16卷 250-265页

作者： Iraj BARGEGOL Seyed mohsen HOSSEINIAN Vahid najafi MOGHADDAM GILANI Mohammad NIKOOKAR Alireza OROUEI School of Civil Engineering University of GuilanRasht41996-13776Iran School of Civil Engineering Iran University of Science and Technology(IUST)Tehran13114-16846Iran School of Civil Engineering Islamic Azad UniversitySemnan35131-37111Iran

In this study,the relationship between space mean speed(SMS),flow rate and density of pedestrians was investigated in different pedestrian facilities,including 1 walkway,2 sidewalks,2 signalized crosswalks and 2 mid-block ***,statistical analysis was performed to investigate the normality of data and correlation of *** analysis was then applied to determine the relationship between SMS,flow rate,and density of ***,two prediction models of density were obtained using genetic programming(GP)and group method of data handling(GMDH)models,and k-fold and holdout cross-validation methods were used to evaluate the *** the use of regression analysis,the mathematical relationships between variables in all facilities were calculated and plotted,and the best relationships were observed in flow rate-density *** also indicated that GP had a higher R2 than GMDH in the prediction of pedestrian density in terms of flow rate and SMS,suggesting that GP was better able to model SMS and pedestrian ***,the application of k-fold cross-validation method in the models led to better performances compared to the holdout cross-validation method,which shows that the prediction models using k-fold were more ***,density relationships in all facilities were obtained in terms of SMS and flow rate.

关键词： pedestrian density regression analysis GP model GMDH model

Evolution of Building Envelopes through Creating Living Characteristics

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Journal of Civil Engineering and Architecture 2017年第12期11卷 1086-1102页

作者： Elaheh najafi mohsen Faizi School of Architecture and Environmental Design Iran University of Science and Technology (I. U.S. T) Tehran 16846-13114 Iran

Building envelopes include facades and roof, which have the most interaction and exchange with outside and natural environment. In the future, meeting buildings various complicated needs with new technological advances necessitates a change and evolution in building envelopes. Controlling the energy consumption of the buildings is mostly through controlling the energy performance of the building envelopes. New technologies lead to the intelligent facades and envelopes. The envelope can be designed to be a part of the whole building＇s metabolism （energy production, storage and consumption） and morphology. The envelope would be a controlled part of the building which is managed through the central control system of the building, which connects it to other parts. It caused building envelope design to be changed fundamentally, so that there is a need to interact with engineering disciplines including computer engineering, mechanical engineering, material engineering and so on. All of these caused building envelope to get closer to biological and living systems. The physical restrictions which affect buildings system and living systems are the same. So they cause the same forces to shape the structure and form of the systems and the same rules to interact with the environment. The restrictions of material and energy resources caused living systems to be energy efficient and consuming less material. But the most important difference between living systems and building systems is in maximum use of different resources. As living systems use information maximally, the building system technology is based on using maximum energy. Now, there are many reasons and restrictions that building envelopes cannot act like living systems. But technological developments and contributing more disciplines in design and construction of building envelopes caused the future way of these envelopes get close to living systems for their energy efficiency. Some of living systems characteristics w

关键词： Intelligent envelopes living systems new technologies environmentally respondent energy consumption.

Isolation and Characterization of Novel Microsatellite Markers in Walnut (<i>Juglans regia</i>L.)

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American Journal of Plant Sciences 2014年第3期5卷 409-415页

作者： Fatemeh najafi mohsen Mardi Baratali Fakheri Seyed Moustafa Pirseyedi Nafiseh Mehdinejad Maryam Farsi Agricultural Biotech- nology Research Institute of Iran (ABRII) Karaj Iran Department of Agronomy and Plant Breeding Faculty of Agri-culture University of Zabol Zabol Iran Department of Agronomy and Plant Breeding Faculty of Agriculture University of Zabol Zabol Iran Agricultural Biotech- nology Research Institute of Iran (ABRII) Karaj Iran Faculty of Agriculture University of Tehran Karaj Iran

Thirteen microsatellite markers were isolated and characterized from Juglans regia L. Successful polymorphism of the 13 primer pairs was observed in various genotypes of J. regia. The number of polymorphic alleles ranged from 2 to 4 (with an average of 4.35). The polymorphic information content values ranged from 0.47 to 0.88 (with an average of 0.69). TC/AG and GAA/CTT class of repeats were the most abundant di-nucleotide and tri-nucleotide repeats, respectively.

关键词： Isolation Microsatellite Juglans regia L. Polymorphism SSR Markers

Radiation-induced inflammation and autoimmune diseases

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Military Medical Research 2018年第1期5卷 62-71页

作者： Rasoul Yahyapour Peyman Amini Saeed Rezapour mohsen Cheki Abolhasan Rezaeyan Bagher Farhood Dheyauldeen Shabeeb Ahmed Eleojo Musa Hengameh Fallah Masoud najafi School of Medicine Jiroft University of Medical Sciences Department of Radiology Faculty of ParamedicalTehran University of Medical Sciences Department of Radiologic Technology Faculty of ParamedicineAhvaz Jundishapur University of Medical Sciences Department of Medical Physics School of MedicineIran University of Medical Sciences Departments of Medical Physics and Radiology Faculty of Paramedical SciencesKashan University of Medical Sciences Department of Medical Physics and Biomedical Engineering Faculty of MedicineTehran University of Medical Sciences (International Campus) Department of Physiology College of MedicineUniversity of Misan Research center for molecular and cellular imaging Tehran University of Medical Sciences Department of Chemistry Faculty of ScienceIslamic Azad University Radiology and Nuclear Medicine Department School of Paramedical Sciences Kermanshah University of Medical Science

Currently,ionizing radiation(IR)plays a key role in the agricultural and medical industry,while accidental exposure resulting from leakage of radioactive sources or radiological terrorism is a serious *** to IR has various detrimental effects on normal *** an increased risk of carcinogenesis is the best-known long-term consequence of IR,evidence has shown that other diseases,particularly diseases related to inflammation,are common disorders among irradiated *** disorders are among the various types of immune diseases that have been investigated among exposed *** diseases and diabetes are two autoimmune diseases potentially induced by ***,the precise mechanisms of IR-induced thyroid diseases and diabetes remain to be elucidated,and several studies have shown that chronic increased levels of inflammatory cytokines after exposure play a pivotal ***,cytokines,including interleukin-1(IL-1),tumor necrosis factor(TNF-α)and interferon gamma(IFN-α),play a key role in chronic oxidative damage following exposure to ***,these cytokines change the secretion of insulin and thyroid-stimulating hormone(TSH).It is likely that the management of inflammation and oxidative damage is one of the best strategies for the amelioration of these diseases after a radiological or nuclear *** the present study,we reviewed the evidence of radiation-induced diabetes and thyroid diseases,as well as the potential roles of inflammatory *** addition,we proposed that the mitigation of inflammatory and oxidative damage markers after exposure to IR may reduce the incidence of these diseases among individuals exposed to radiation.

关键词： Radiation Inflammation Autoimmune diseases Thyroid Diabetes