In this study 31 stations were selected according to climatic parameters such as temperature and precipitation. Climatic parameters such as rainfall Monthly and 5 temperature parameters during plant growth from October to June, for 25 years of statistical period from 1982 to 2006, as well as data on wheat yield in each station, a test run test for Data was randomized and then the reconstruction test was performed on missing and missing data. In each station, the correlation coefficient between wheat yield and climatic parameters was calculated and ultimately the model Regression for stations was used to identify effective climatic parameters in estimating wheat yield. In wheat, all stations except Gorgan station had a regression model. In w

Objective: Transforming growth factor beta/single mothers against decapentaplegic (TGFβ/SMAD) signaling pathway plays important roles in various biological processes. It acts as a tumor suppressor during the early stages of cancer progression. Discovering the regulators of this pathway provides important options for therapeutic strategies. Here, we searched for candidate microRNAs (miRNAs) that potentially target the critical components of the TGFβ signaling pathway.Materials and Methods: In the current experimental study, we first predicted miRNAs that target TGFβ components using a bioinformatics software. After that, quantitative real-time polymerase chain reaction (RT-qPCR) was used to detect the expression of miR-587, TGFBR2, SMAD4,

In this research, monthly data on the frequency of dust storms of 44 synoptic stations of Iran during a 50-year period from 1968 to 2017 and methods of Ward’s hierarchical cluster analysis, linear regression, Mann–Kendall test, and kriging geostatistic were used. After calculating the frequency of occurrence of dust storms and its related statistical characteristics, suitable probability distribution function was fitted with dust storm data and then, using cluster analysis, the classification of different regions of the country into homogeneous groups was done and by using the kriging method, the zoning of dust storms was performed. After examining the descriptive statistics of spring dust storms in Iran, it was found that the probabil

In this research, monthly data on the Frequency of Dust Storm Days (FDSD) of 44 synoptic stations of Iran during a 50-year period from 1968–2017 were used. Temporal variations in Iran's dust storms were investigated using hierarchical cluster analysis, linear regression methods, and nonparametric test of Mann Kendall. According to the cluster analysis, five climatic zones were identified with similar trends in the frequency of occurrence of dust storms including:(1) Southeast,(2) South and Central regions,(3) Western regions,(4) Eastern and Central regions, and (5) the Northern part of the country. The results of the distribution of Iranian dust storms indicated that the highest frequency of the occurrence of this phenomenon was in July,

In this study, the temporal and spatial characteristics of droughts in Iran, including severity, duration, frequency, and extent, were studied using the GPCC-DI, in a 68-year period from 1952 to 2019. To display and analyze these features, time trend components, intensity, duration, and area diagrams, Mann-Kendall non-parametric test and Kriging geostatistical method were used. The result of plotting intensity-duration-frequency maps shows an increasing trend in regional drought severity and spread. It was also found that the most severe droughts occurred in the 12-and 24-month periods from 2000 onward. Mann-Kendall test results also show that significant increases in droughts occurred in the central desert basins of Hamoon basin and south

Climate change is one of the major challenges facing mankind today. Various climatic parameters such as temperature, precipitation and wind in one place are factors that influence the climate of that area and Their knowledge determines the climate of that region. Occurrence of phenomena such as sudden increase or decrease of temperature, rainfall and velocity and direction of wind over one or more years can be attributed to climate change in that region. One of the most important climate issues in recent years has been the opinion of researchers and even heads of governments and organizations due to their effects on political, social, economic and other activities. In our country this issue has been less attention, but in recent years has b

In this paper, by using the sixteen directions Polar graph-Wind Roses, was calculated the usability factor of the present runway of Zahedan Airport (runway 17-35) in two statistical periods 1991-2017 and 2020-2050 and taking into account the permissible Crosswind (13 knots per hour) by Federal Aviation Administration (FAA) method. In this regard, using the SDSM software and CanESM2 model based on three scenarios RCP2.6, RCP4.5 and RCP8.5, the wind speed and direction of the Zahedan station were studied to 2050. And using the WRPLOT software, for these statistical periods were drawn sixteen directions daily Wind Roses. The results show that the usability factor of the present runway of Zahedan Airport in the statistical period 1991-2017 equa

1066. Application of (1) GIS in analyzing transport arteries and examining the application and implementation of the network analysis model (2) and determining the shortest path algorithms in it (Case study: East Azarbaijan Province-Tabriz)

The Sudanese system is the most important system for supplying rainfall and water accumulation in the southern catchments. In the years when suitable synoptic conditions are provided for strengthening and expanding this system on Iran, not only the southern part of the country but also most parts of the country are associated with good rainfall. Therefore, increasing or decreasing the number of Sudanese systems entering the region is very important and vital in theEco-biological structure of wetlandsand water balance of the most water-rich basins in the south and southwest of the country. In the present study, the aim is to study the historical trend of the entry of this system (1995-2017) into this part of the country. Therefore, after val

To answer the question “what has changed the surface temperatures of water bodies around Iran under climate change conditions,” Moderate Resolution Imaging Spectroradiometer (MODIS) sea surface temperature (SST) data with 9.2-km spatial resolution and monthly time step were evaluated. A significant increasing trend was obtained using Pearson’s correlation coefficient and Mann-Kendall trend test on data from the Caspian Sea (June) and the Southern Gulfs (September). High correlations of 0.69 and 0.97 between remotely sensed data and ERA-Interim reanalysis data were also obtained for June and September, respectively. To assess the impact of some climatic parameters on SST variability in those two months, zonal and meridional wind at 10

Purpose Tehran, Iran, is an interesting location for aerosol studies because it is affected by anthropogenic pollution and desert dust aerosols. The aim of this study was to discriminate the aerosol types using satellite data over the city. Method The study was performed using Level-2 daily Aerosol Optical Depth (AOD) and ?ngstr?m Exponent (AE) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites for the years 2011 to 2015. As the Deep Blue (DB) AE retrievals are more reliable than the Dark Target (DT) AE retrievals, the study was performed using DB data.

Emergency Department (ED) overcrowding adversely affects patients’ health, accessibility, and quality of healthcare systems for communities. Several studies have addressed this issue. This study aimed to conduct a systematic review study concerning challenges, lessons and way outs of clinical emergencies at hospitals. Original research articles on crowding of emergencies at hospitals published from 1st January 2007, and 1st August 2018 were utilized. Relevant studies from the PubMed and EMBASE databases were assessed using suitable keywords. Two reviewers independently screened the titles, abstracts and the methodological validity of the records using data extraction format before their inclusion in the final review. Discussions with the

Greenhouse warming poses the main cause of atmospheric hazards’ exacerbation and emergence in recent years. Earth planet has been witnessing frequent and severe natural hazards from the distant past; however, global warming has strongly influenced the occurrence of some atmospheric hazards, especially the ones induced by temperature and has increased the frequency and severity of those risks. Such extreme risks arising from temperature element and being affected by global warming could be referred to hot days and their frequency more than one day which undergo heat waves. Of the studies conducted worldwide in conjunction with the phenomenon of heat waves, the following can be pointed out; Sch?r (2015) has focused his studies on the Persia