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Suspended particulate matter promotes epithelial-to-mesenchymal transition in alveolar epithelial cells via TGF-β1-mediated ROS/IL-8/SMAD3 axis

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Journal of Environmental Sciences 2024年第7期141卷 139-150页

作者： Shahrzad Molavinia Dian Dayer Mohammad Javad khodayar Gholamreza goudarzi Maryam Salehcheh Cellular and Molecular Research Center Medical Basic Sciences Research InstituteAhvaz Jundishapur University of Medical SciencesAhvazIran Department of Toxicology School of PharmacyAhvaz Jundishapur University of Medical SciencesAhvazIran Student Research Committee Ahvaz Jundishapur University of Medical SciencesAhvazIran Toxicology Research Center Medical Basic Sciences Research InstituteAhvaz Jundishapur University of Medical SciencesAhvazIran Air Pollution and Respiratory Diseases Research Center Ahvaz Jundishapur University of Medical SciencesAhvazIran Iranian Scientific Association of Clean Air TehranIran

Epidemiological evidence presents that dust storms are related to respiratory diseases,such as pulmonary fibrosis(PF).However,the precise underlying mechanisms of SPM-elicited adverse effects still need to be ***-mesenchymal transition(EMT)process is a characteristic of *** discussed whether suspended particulate matter(SPM)is involved in EMT induction via transforming growth factor-β1(TGF-β1).In this study,a detailed elemental analysis(55 elements),particle size,and morphology were *** investigate the toxicity of SPM,an MTT test was performed to detect cell ***,A549cells were exposed to selected concentrations of SPM(20 and 40μg/mL)for single and repeated *** DCFH-DA assay showed that exposure to SPM could produce reactive oxygen species(ROS).The ELISA assay demonstrated increased levels of interleukin-8(IL-8)and TGF-β1 in the *** blot was used to detect the expression of proteins associated with EMT and the SMAD3-dependent *** of western blot demonstrated that E-cadherin was reduced,whereas p-SMAD3,vimentin,andα-smooth muscle actin were *** findings indicated that SPM triggered EMT by induction of oxidative stress,inflammation,and the TGF-β1/SMAD3 pathway activation.

关键词： Particulate matter TGF-β1 Oxidative stress Epithelial-mesenchymal transition Pulmonary fibrosis Cells

A Machine Learning Classification Model for Detecting Prediabetes

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Journal of Data Analysis and Information Processing 2024年第3期12卷 462-478页

作者： A. k. M. Raquibul Bashar Mahdi goudarzi Chris P. Tsokos Department of Mathematics & Computer Science Augustana College Rock Island Illinois USA Independent Researcher San Francisco California USA Department of Mathematics & Statistics University of South Florida Tampa Florida USA

The incidence of prediabetes is in a dangerous condition in the USA. The likelihood of increasing chronic and complex health issues is very high if this stage of prediabetes is ignored. So, early detection of prediabetes conditions is critical to decrease or avoid type 2 diabetes and other health issues that come as a result of untreated and undiagnosed prediabetes condition. This study is done in order to detect the prediabetes condition with an artificial intelligence method. Data used for this study is collected from the Centers for Disease Control and Prevention’s (CDC) survey conducted by the Division of Health and Nutrition Examination Surveys (DHANES). In this study, several machine learning algorithms are exploited and compared to determine the best algorithm based on Average Squared Error (ASE), kolmogorov-Smirnov (Youden) scores, areas under the ROC and some other measures of the machine learning algorithm. Based on these scores, the champion model is selected, and Random Forest is the champion model with approximately 89% accuracy.

关键词： Prediabetes Machine Learning SVM Forest Cumulative Lift

Feasibility of using wind turbines for renewable hydrogen production in Firuzkuh, Iran

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Frontiers in Energy 2019年第3期13卷 494-505页

作者： Ali MOSTAFAEIPOUR Mojtaba QOLIPOUR Hossein goudarzi Industrial Engineering Department Yazd UniversityYazd 89158-18411Iran School of Architecture and Environmental Design Iran University of Science and TechnologyTehran 16846-13114Iran

The present study was conducted with the objective of evaluating several proposed turbines from 25 kW to 1.65 MW in order to select the appropriate turbine for electricity and hydrogen production in Firuzkuh area using the decision making trial and evaluation (DEMATEL) and data envelopment analysis (DEA) methods. Initially, five important factors in selection of the best wind turbine for wind farm construction were determined using the DEMATEL technique. Then, technical-economic feasibility was performed for each of the eight proposed turbines using the HOMER software, and the performance score for each proposed wind turbine was obtained. The results show that the GE 1.5sl model wind turbine is suitable for wind farm construction. The turbine can generate 5515.325 MW of electricity annually, which is equivalent to $ 1103065. The average annual hydrogen production would be 1014 kg for Firuzkuh by using the GE 1.5sl model turbine.

关键词： wind turbine hydrogen production HOMER software decision making trial and evaluation (DEMA丒 TEL) data envelopment analysis (DEA) Firuzkuh

Microstructures, hardening and tribological behaviors of tin matrix composites reinforced with SiC and Zn particles

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Rare Metals 2021年第9期40卷 2584-2592页

作者： Fatemeh Ghasemi Mohammad Moazami-goudarzi Hamidreza Najaﬁ Department of Materials Engineering Science and Research BranchIslamic Azad UniversityTehran ***Iran

In order to strengthen pure tin and improve its dry sliding resistance, Sn/SiC and Sn/Zn composites were fabricated via a powder metallurgy route. Microstructure,hardness and pin-on-disk wear resistance of pure tin and the fabricated composites were compared to those of Sn–7.5 Sb–3.5 Cu Babbitt alloy. The dominant wear mechanism at different applied loads was determined by analyzing worn surfaces and wear debris in each case. The results showed that the hardening effect of Zn was much higher than that of SiC. The hardening role of Zn in the tin matrix was ascribed to the direct load transfer mechanism. Microscopic studies of the worn surfaces revealed that the pure tin was susceptible to surface fatigue wear and plowing damage, depending on the normal load applied during the wear test. In the case of Sn/SiC composite and the Babbitt alloy, delamination wear mechanism resulting from subsurface crack propagation controlled the wear rate. While the highest hardness and the lowest coefficient of friction were obtained for the Babbitt alloy, the Sn/Zn composite exhibited the highest wear resistance at a constant applied load, indicating the importance of asperity contact type in the wear process.

关键词： Tin matrix composites Babbitt alloy Microstructure Hardening mechanisms Wear behavior

NAPHTHALIMIDE BASED DISPERSE DYES FOR NYLON 6 AND POLYESTER(PET) FIBERS:SYNTHESIS AND EVALUATION OF TECHNICAL PROPERTIES IN THE PRESENCE OF UREA

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Chinese Journal of Polymer Science 2011年第6期29卷 712-718页

作者： Javad Mokhtari Mahdi Nouri Uranus goudarzi Department of Textile Engineering Faculty of EngineeringUniversity of GuilanRashtIran

Technical properties of two naphthalimide based disperse dyes on nylon 6 and polyester fibers were investigated in the presence of urea. The two naphthalimide based disperse dyes were synthesized. The dyes were purified and then fully characterized using 1H-NMR, FTIR and melting point analysis. Dispersion of the dyes was prepared in water and applied on nylon 6 and PET fibers. The dyes offered good build-up properties on the substrates. In order to increase dye adsorption of the substrates, urea was added into the dyebath. By adding urea, the dye adsorption of polyester was increased significantly, while the increase of that of nylon 6 was not marked. The dyes showed good fastness properties on the substrates.

关键词： Naphthalimide Nylon 6 Polyester Urea Disperse dye

Calculation of Hildebrand Solubility Parameters of Some Polymers Using QSPR Methods Based on LS-SVM Technique and Theoretical Molecular Descriptors

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Chinese Journal of Polymer Science 2014年第5期32卷 587-594页

作者： Nasser goudarzi M.Arab Chamjangali A.H.Amin Faculty of Chemistry Shahrood University of Technology

In this work, some chemometrics methods are applied for the modeling and prediction of the Hildebrand solubility parameter of some polymers. A genetic algorithm （GA） method is designed for the selection of variables to construct two models using the multiple linear regression （MLR） and least square-support vector machine （LS-SVM） methods in order to predict the Hildebrand solubility parameter. The MLR method is used to build a linear relationship between the molecular descriptors and the Hildebrand solubility parameter for these compounds. Then the LS-SVM method is utilized to construct the non-linear quantitative structure-activity relationship （QSAR） models. The results obtained using the LS-SVM method are then compared with those obtained for the MLR method; it was revealed that the LS-SVM model was much better than the MLR one. The root-mean-square errors of the training set and the test set for the LS-SVM model were 0.2912 and 0.2427, and the correlation coefficients were 0.9662 and 0.9518, respectively. This paper provides a new and effective method for predicting the Hildebrand solubility parameter for some polymers, and also reveals that the LS-SVM method can be used as a powerful chemometrics tool for the quantitative structure-property relationship （QSPR） studies.

关键词： Hildebrand solubility parameter Least square-support vector machine (LS-SVM) Quantitative structure- property relationship (QSPR) Multiple linear regression (MLR) Genetic algorithm (GA).

Analysis of p53 expression in partial hydatidiform mole and hydropic abortion

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Frontiers in Biology 2017年第5期12卷 357-360页

作者： Parvin kheradmand Maede goudarzi Mina Tavakoli Ahvaz Jundishapour University of Medical Sciences Ahvaz Iran

BACkGROUND： Gestational trophoblastic disease （GTD） is a heterogeneous group of disorders characterized by abnormal trophoblast tissue. Molar and non-molar hydropic placental changes are the most common forms of GTD. Differential diagnosis of GTD is sometimes problematic. Recently, p53 expression was identified as a good marker for distinguishing GTD types. ALMS： Comparison of p53 expression in partial hydatidiform mole （PHM） and hydropic abortion. METHODS： In this prospective cross-sectional study, molar and non-molar hydropic pregnancy specimens were collected. Immunohistochemical staining, based on the Labeled Streptavidin Biotin （LSAB） technique, was carried out on multiple 4 Ixm paraffin block sections prepared from formalin-fixed trophoblastic tissues. Polymer-based Envision was used to assess p53 tumor suppressor protein immunoreactivity, p53 expression was then compared between both groups. RESULTS： In the study, 40 patients were included： 20 with confirmed PHM and 20 with hydropic pregnancy, p53 protein was positive in 60% of patients with PHM and 25% of patients with hydropic pregnancy. The p53 positive rate was significantly higher in patients with PHM （p = 0.027）. Moreover, patients with PHM had a significantly high grade of staining （p 〈 0.001）. CONCLUSION： Our findings indicate that immunohistochemical analysis of p53 protein can be used to distinguish PHM and hydropic pregnancy.

关键词： Partial hydatidiform mole hydropic abortion p53 expression

Intuitionistic Menger inner product spaces and applications to integral equations

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Applied Mathematics and Mechanics(English Edition) 2010年第4期31卷 415-424页

作者：张石生 M.goudarzi R.SAADATI S.M.VAEZPOUR Department of Mathematics Yibin University Department of Mathematics and Computer Science Amirkabir University of Technology

In this paper, first introduce and define an intuitionistic Menger inner product space, and then, obtain a new fixed point theorem in a complete intuitionistic Menger inner product space. As an application, the result... 详细信息

关键词： intuitionistic Menger inner product space Volterra integral equation,h-type t-norm fixed point theorem

Tribological behavior of self lubricating Cu/MoS_2 composites fabricated by powder metallurgy

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Transactions of Nonferrous Metals Society of China 2018年第5期28卷 946-956页

作者： Mohammad MOAZAMI-goudarzi Aram NEMATI Department of Materials Engineering Science and Research Branch Islamic Azad University

The effects of MoS2 content on microstructure, density, hardness and wear resistance of pure copper were studied. Copper-based composites containing 0-10%（mass fraction） MoS2 particles were fabricated by mechanical milling and hot pressing from pure copper and MoS2 powders. Wear resistance was evaluated in dry sliding condition using a pin on disk configuration at a constant sliding speed of 0.2 m/s. Hardness measurements showed a critical MoS2 content of 2.5% at which a hardness peak was attained. Regardless of the applied normal load, the lowest coefficient of friction and wear loss were attained for Cu/2.5 MoS2 composite. While coefficient of friction decreased when the applied normal load was raised from 1 to 4 N at any reinforcement content, the wear volume increased with increasing normal load. SEM micrographs from the worn surfaces and debris revealed that the wear mechanism was changed from mainly adhesion in pure copper to a combination of abrasion and delamination in Cu/MoS2 composites.

关键词： copper matrix composite microstxucture coefficient of friction wear mechanism