Iran, due to its geographical location, has low rainfall and is considered a dry land. As a result, different regions of the country grapple with drought. The presence of water management systems, such as aqueducts and reservoirs, in most parts of the country, along with a variety of methods for conserving water for irrigation, may contribute to this claim. Considering that drought is an inherent phenomenon in Iran's climate, people have invented and used numerous methods to combat it and store water. The aim of this study is to monitor and evaluate drought in Iran. In order to realize this goal, precipitation data from synoptic, rain gauge, and climatology stations were extracted over a 51-year period, from 1970 to 2020. The results obtained from examining drought occurrences in five ten-year periods reveal that, with the exception of the third decade (1991 to 2000), drought has prevailed in the majority of Iran's regions compared to other decades. On the other hand, in the recent decades leading to 2020, the intensity of drought occurrences, especially in the Middle Zagros, has intensified, which has consistently been among the regions with the highest rainfall in Iran after the Caspian region. This situation can cause concern in Iran, a country where its agricultural production hub is established along the Zagros mountain range. Moreover, the fluctuating behavior of Iran's droughts, with return periods of 2 to 5 years, has complicated the management strategies for these types of hazards. These conditions appear to have created numerous issues in many areas of Iran, particularly in the agricultural sector of the western provinces, due to the lack of conformity with these types of occurrences.

Introduction: Reciprocal changes are ST depression ?1 mm in electrocardiogram of the patients with acute myocardial infarction in the reciprocal leads. This question that these changes are merely secondary to ST elevation in infarction area or that they are truly subendocardial ischemia secondary to involvement of coronary artery that perfuse that area is not clearly defined. Methods and Materials: In this study, 33 patients with acute myocardial infarction and reciprocal changes in ECG at the time of admission, were selected and coronary angiography was performed in them in a week of infarction. Results: Correlation between reciprocal changes in ECG and involvement of reciprocal coronary artery the coronary artery that perfuse area of myocardium related to reciprocal changes in ECG were studied. 32-63 percent of patients (1/3-2/3) with reciprocal changes had significant stenosis of reciprocal coronary artery in coronary angiography (CI=95 percent). The incidence of multivessel disease was about 60.6 percent. After coronary angiography 33.3 percent of patients referred for coronary arteries bypass graft surgery (CABGS) and 27.3 percent for percutaneous transluminal coronary artery angioplasty (PTCA). In the other words, 60.6 percent of our patients refered for revascularization, PTCA or CABGS. Conclusion: We concluded that because of the need for intervention in about 60 percent of our patients, coronary angiography could be recommended in all patients with acute myocardial infarction and reciprocal changes in ECG.

A B S T R A C T Tourism as a socio-economic activity plays an essential role in the economic, social, physical, and cultural dimensions of rural settlements in developing countries, which can have significant impacts on rural physical identity. The purpose of this study was to evaluate the impact of tourism on the identity changes of rural settlements in Oraman area of Sarvabad Township in Kurdistan province. Therefore, the present study questions 1. What is the relationship between tourism development and rural identity changes in the study area? What are the most critical factors influencing the physical development of rural settlements? He answers. The present study is a descriptive-analytical based on data collection using a questionnaire. The statistical population of the study consisted of 7 villages located in the Dezli-Hajij communication axis in Oraman District based on population and housing census data of 1395 with 1572 households and 306 households were selected using Cochran formula. One-sample t-test and factor analysis were used for data analysis. The findings of the study showed that tourism development in the sample villages in terms of continuity over time such as housing construction quality (3/67), sanitation (3/39) and land-use changes (3/78) and unity and plurality such as Design and style of housing architecture (3/01) and public transit architecture (3/23) and then differentiation and homogeneity such as proportionality with rural life (3/58) and rurality or location (3/43) have a positive impact on the physical dimensions of rural settlements in the region. The results of the exploratory factor analysis showed that tourism development plays a vital role in the development of rural physical identity in the region. So that the proportion of rural life with a specific amount of 13/6 and 27% of the total variance had the most influence among the factors Extended Abstract Introduction  As an important socio-economic activity in local and regional development, tourism has a high potential for political, social, and economic changes in communities. Scholars widely regard it as the engine of development. Today, rural areas in developing countries face various economic, social, and environmental challenges. Planners need to pay more attention to complementary sectors of agricultural activities such as the development of handicrafts, food industries, and tourism because agriculture is now retreating from its hegemonic position in some rural areas. Therefore, tourism as one of the essential approaches to rural development has multiple effects on the socio-economic dimensions of rural areas. Tourism can play a vital role in shaping spaces, reconfiguring and rebuilding processes, creating new socio-economic opportunities in less-developed rural areas,  and leads to changes in the physical dimensions and physical identity of the villages.   Methodology This study aims to investigate the role of tourism development in the physical identity of  rural settlements located in the Dezley-Hajij road axis in Oraman County (Sarvabad Township- Kurdistan province) in western Iran. This applied study methodology of research was based on analytical– descriptive methods using questionnaires. After the survey of theoretical bases, the questionnaire was set using a Likert spectrum and distributed randomly among the sample. The statistical population of this study consisted of 1572 households residing in the villages of Daraki (Dezli County), Veisiyan and Kamaleh (Oraman County), Belbar, Jivar, Celin, and Novin (Shalyar County), with a sample of 306 was selected by Cochran formula. A questionnaire was further validated by an academic panel of experts in the field of research. Cronbach's alpha determined its reliability, which was up to 0.890 for measured indexes. The data were analyzed by One sample T-test and Factor   analysis tests in the SPSS software package.    Results and discussion To investigate the role of tourism activities in the physical identity change of rural settlements, the research indices in terms of three components of time continuity (quality of constructions, health, and environmental cleanliness and land-use transformations), unity/multiplicity (Landscape of free passages and the type of architectural style), and differentiation/similarity (proportional to rural life and Compliance with the physical environment) were classified. The results of the one-sample t-test showed that assuming numerical utility (3 mean spectra), the components of continuity in time, variance, multiplicity, and differentiation and similarity with numerical mean values (3.62), (3.35), and (3.27), respectively. The effect of tourism development is affected, and the difference is positive and means between upper and lower boundaries. There is a significant difference at the 95% level between the components. Evaluation of the importance of tourism in the physical development of rural settlements from the viewpoint of the respondents using factor analysis statistical test showed that the relevant data according to the KMO coefficient (0.812) is appropriate, and the Bartlett's test is 99% significant. Therefore, 50 variables extracted from the questionnaire were classified into six main factors, namely rural planning and architecture, beautification and environmental hygiene, privacy and road improvement, rural livelihoods, cultural regeneration, and physical security.   Conclusion Findings based on the utility analysis of indicators indicate the positive impact of tourism development on the development of physical identity changes in rural settlements in the study area. Thus, the development of tourism in the villages under study has been able to positively influence the three dimensions of identity, such as continuity in time, unity and plurality, and differentiation and similarity. Therefore, it can be concluded that tourism development due to its social and economic impacts on the villages has also led to changes in rural physical identity. Moreover, hygiene and cleanliness of the rural environment were observed with a numerical mean (3.81) and (3.67), respectively, both of which are indices in the continuity component over time. The results of the data analysis using factor analysis showed that the studied variables had 6% of the total variance in 5% of total variance. Based on the results of this analysis, it can be concluded that tourism development in two factors in terms of continuity in time has the most impact on the physical identity of rural settlements at 41%. Thus, planning and architecture of rural housing with 27% of the total variance and beautification and sanitation of the physical environment with 14% of the total variance have a significant impact on the physical changes and, consequently, the physical identity of the rural settlements. Based on the research findings, the following suggestions can be considered: Strengthening local institutions, such as the Islamic Council and the local managers, in order to promote the use of local patterns in the construction of new instruments to conform to the physical structure and function of the villages in the region; Management of land use changes on the edge of the village in order to prevent unnecessary physical changes in the way of preservation and environmental beauty; Prevent the accumulation of pesticides in public passages due to tourism in the area; Improving public beauties and beautifying them using the social and cultural elements of the region.   Funding There is no funding support.   Authors’ Contribution The authors contributed equally to the conceptualization and writing of the article. All of the authors approved the content of the manuscript and agreed on all aspects of the work.   Conflict of Interest The Authors declared no conflict of interest.   Acknowledgments The authors appreciate to all the scientific consultants of this paper.

A B S T R A C TFor choosing suitable place multiple methods are introduced, which examine the qualities, methods and patterns of location selection. The current methods use global approach and do not pay attention to spatial differences, environmental variation in variables, local changes modeled by local weighting indicators. It has been selected as a case study to evaluate the EMS center of Fars province and to evaluate the indicators of distance from the power plant, distance from logistics centers, industries, transportation terminals, hospitals, hotels and tourism, cities, rural areas and custom centers. has been used, using the AHP method to weight the qualities, and then for local weights, non-overlapping neighborhood filtering within a radius of 25 km are used and calculate the corresponding changes, quantity, ratio Presented in this article, the obtained weights, then the compute local weighted layers, and then local weight was multiplied in the normalized layers and the final layer were obtained. In the next step, it was combined and calculated to compare the data using the global method. The results of the two methods were transferred to the points of the EMS and the results were analyzedExtended AbstractIntroductionIn geographical studies and spatial planning, there are different approaches to choosing the right place for all kinds of applications and uses, and a process is followed to choose the best places. This process includes stating the research problem (cognition), choosing the criteria and preferences of decision makers and how to determine the weight of indicators, combining criteria (design) and finally, choosing the best option. In the current methods of spatial decision, the criteria are given a fixed weight, while in geographical locations, the distribution of geographical phenomena is not uniform. In this case, attention should be paid to the spatial distribution pattern of geographical phenomena based on the principle of sensitivity of the range of changes, the size of the range of changes affects the outputs, and the data with a smaller range of changes also have a lesser effect on the output. The data with a larger range of changes will have a more significant effect on the output. Therefore, in spatial analysis, indicators that have small changes are less important. Local models have been presented to model local changes in spatial multi-criteria decision-making; in this research, the main issue is how to model the local changes that affect the expected outputs. MethodologyThe research process is based on multi-criteria spatial decision-making methods (national and local). First, spatial patterns of indicators were analyzed through exploratory analyzes of ESDA spatial data. Then based on the review of the research criteria, the direct weighting method was used to calculate the weight of the indicators, and the experts were asked to specify the weight of the criteria in the range of 1 to 10. The opinions were combined, and the final weight was obtained. First, the data were spatially modelled to model and calculate the local weights. Then Block Statistics spatial filter without overlap was used to determine the neighborhood. The range of local changes, maximum and minimum values, were calculated, and local weights were obtained based on that. Finally, the information layers were descaled. After that, the unscaled criterion layers were multiplied by the national weights and the final national scores were obtained. In the next step, the data of the evaluated information layers (local and national) were transferred to the points of emergency databases. Based on the analysis, the fit was done. Results and discussionGeneral or global weights pay attention to the relative importance of indicators, which is the starting point for calculating local weights. Based on the research results, the most critical indicators are industries, cities and hospitals, which are more important in the location of road emergency stations. However, in order to achieve better results, it is necessary to build a local weight layer. The results of the research show that the indicators' weight and the difference in the criteria (general weight) are not equal in the entire geographical area, and the areas with a larger range of changes have a higher coefficient.Because, unlike general weights that are obtained based on different methods, local weights are estimated based on the principle of sensitivity of the range of changes and are changed spatially, and a fixed value is not considered for all areas. According to the research findings, the highest level in the general and local evaluation method corresponds to 0.5 to 0.7. Based on the local (geographic) weight method, it is less than the national or general method in the range of 0.9 to 1. Furthermore, this is due to the more precise nature of this method, which models the effects of local changes. To evaluate the compliance of the emergency centers with the final maps of suitability assessment, the information on the suitability maps was transferred to the map of the emergency center points of Fars province. Based on the evaluation of 207 emergency stations, according to the general method, 14 percent are in the high group (0.9-1), and according to the local or geographical method (16.9), percent are in this group. ConclusionAt the level of space and geographical regions, phenomena and geographical complications are not uniformly distributed, some phenomena have a homogeneous distribution, and some have a heterogeneous distribution. On the one hand, the phenomena and decision issues are affected by the context in which they are formed and evolve; on the other hand, these phenomena are placed in the network of mutual relations. Furthermore, the results of the set of phenomena may differ from the results of the phenomena individually and separately; in this article, an attempt has been made to address the issue that in spatial analysis and planning, it is necessary to pay attention to geographical differences in decision-making. Furthermore, it should not be evaluated in general terms of spatial decision problems; one of the methods of modelling these differences and spatial changes is to consider the local weight of the criteria. Based on the research findings, local (geographical) and national analysis results are different and can better show these changes. On the other hand, the pattern of spatial differences also has its spatial pattern, and paying attention to these differences in spatial differences can be the subject of further studies. FundingThere is no funding support. Authors’ ContributionAuthors contributed equally to the conceptualization and writing of the article. All of the authors approved the content of the manuscript and agreed on all aspects of the work declaration of competing interest none. Conflict of InterestAuthors declared no conflict of interest. Acknowledgments We are grateful to all the scientific consultants of this paper.

ABSTRACT Today, climate change and its obvious negative effects on ecosystems have caused concern. This research seeks to test whether vegetation changes are sensitive to climate shocks and also how the ecosystem recovery process is through this index. In this regard, by using the GEE platform, Java coding, GIS and statistical analysis, vegetation and Palmer indices were calculated and based on time series climate data, vegetation and climate changes were presented. The results of Palmer's drought index show that during the statistical period (1985-2020) the study area is facing drought or is moving towards drought. Also, the results indicate the longest period of drought in the region from 2013 to 2020. Totaly from 420 evaluated months, the NDVI index is below the change threshold in 70 months. Among these, 31 months of the study period is below the acceptable threshold in green and non-reservoir seasons, which is ecologically worrying. The distribution of the vegetation index based on hexagons in 1985 and 2005 had a normal and almost normal distribution; But in 2020, the graph deviated from the normal state and skewed towards the vegetation cover index under stress or even thin covers. According to the analysis of the indicators, it is predicted that the Gorgan region is on the border of such ecological developments and the historical ecosystem of the region is moving towards new ecosystems or being in a new equilibrium state with climatic conditions and human disturbances Extended Abstract Introduction Today, climate change and its obvious negative effects on terrestrial ecosystems have caused great concern to humans. These changes are effective on vegetation performance, plant distribution patterns, and have economic and environmental consequences. Therefore, it is important to know the behavioral pattern of vegetation changes against climate changes. Reviewing the studies of scientists in the world shows many researchers have used the NDVI index to study temporal and spatial changes in vegetation and its relationship with the climatic index of precipitation in different parts of the world. Studies have shown that NDVI follows precipitation with different time scales. Surveys showed that there are very few studies on determining the threshold of changes in the vegetation cover index in the face of climate shocks. Determining these thresholds can provide a suitable solution for evaluating the state of the ecosystem, the consequences of climate shocks and the reversibility or disturbance in the ecosystem. This study was conducted with the aim of improving our understanding of the dynamics of vegetation in the forest city of Gorgan during 1985-2020 against climatic stresses.   Methodology The current research is a comparative and monitoring research and seeks to test whether changes in vegetation cover are sensitive to climate shocks and also how the ecosystem recovery process is through this index. To achieve the gole, first, NDVI index was selected among the optimal vegetation indices and its calculation process was done as a time series in the GEE system. In parallel with those climate shocks, the main elements including temperature, precipitation and storm were calculated during the historical process of 35 years and the average and standard deviation statistical indicators were calculated for them and the trend of changes in the thresholds was determined. The results of climate plots and climate changes show that in the years before 1985, 2005 and 2020, drastic changes have occurred in climatic elements and climatic factors. Therefore, these years can be considered as the periods when the climate shock happened.. Next, the region was divided into 436 hexagons and the NDVI index for each of the hexagons was calculated and modeled for the years 1985, 2005 and 2020 as selected years affected by climate shocks. In conclusion, to analyze the trend of changes in the time series of the vegetation index and compare the behavior of its changes with climatic indices, the Palmer index was calculated.   Results and discussion The results of climate change monitoring based on the Palmer index showed that during the statistical period the study area is facing drought in most years. The most severe climatic fluctuations and drought in the region were recorded in 2018 and in the months of October to December. The longest period of drought has also prevailed in the region from 2013 to 2020. During this period, rainfall, temperature and storm fluctuations have the most changes. The results of drought monitoring show that in 270 months, the region is facing climatic drought stress, 57 months of the study period, the region is facing severe and very severe drought stress. The results of the time series of the NDVI vegetation index showed that, out of the 420 evaluated months, 70 months of the year the NDVI index is below the change threshold, 31 of which are in the green and non-accumulating seasons, the seasons when the vegetation is expected to be at its maximum. Placing below the acceptable range means crossing the ecological thresholds and challenges the recovery and restoration of the ecosystem, also the ecological performance will be affected at this point. Based on the assessment of the Palmer index, from 2014 to 2019, the situation of the Palmer index is in the extreme drought range. Also, since 2015, i.e. with a one-year time delay, NDVI index has experienced the lower limit of the equilibrium threshold of vegetation cover. These conditions are also valid for the years 2008, 2009, 2002 and 1997. In general, it can be said that the vegetation cover index is dependent on climatic changes and fluctuations and shows high sensitivity to changes. The important point in this section is that in the years when the NDVI index changes are at the lower limit of the threshold, we witness the most climate shocks and temperature changes, the occurrence of severe storms and precipitation fluctuations. The distribution of the vegetation index based on hexagons in 1985 and 2005 have a normal distribution; but in 2020, the graph has deviated from the normal state and skewed towards the vegetation cover index under stress or even thin covers. The visual interpretation done on the vegetation cover index in 1985 confirms the condition of the vegetation cover in the southern and western limits of the region in a state with suitable dense and pasture vegetation and forest cover on the edges. However, in 2005 and 2020, this cover has been changed and mainly turned into agricultural land and poor rangeland. In such a way that in 2020, the situation of the region has revealed the critical state of vegetation. The vegetation cover index in the central areas of the city has also reached from a relatively favorable situation in 1985 to a critical situation with almost no dense and stress-free vegetation cover in 2020. The results of the present studies are consistent with the studies of Visentr Serrano et al. in 2013 and confirm the relationship between NDVI vegetation and climate change. In addition, the results of the studies are consistent with the studies of Alwesabi 2012, Xiai & Moody, 2005 and Yan et al. 2001. In such a way that the present study and the aforementioned studies all confirm the influence of the vegetation index on climate fluctuations and precipitation with a one-year time difference.       Conclusion In general, the threshold is defined as a border with different conditions. After crossing the thresholds, the stability and positioning of the NDVI in the equilibrium range is often difficult, and the ecosystem is constantly spending energy to restore itself or to position itself in a new stability state. The result of the mentioned disorders is the reduction of resilience and resistance in the region, which leads the ecosystem to alternative states or crossing the threshold or being in a new equilibrium state. The results showed that the areas where green vegetation is concentrated and denser are less affected by climatic stresses and show more resilience. However, the areas that have become spots and islands due to destruction in the urban areas are more affected by climatic stress and destruction and show less tolerance against the destruction factors. The results help managers to focus their management plans for the preservation and maintenance of urban green spaces as well as forest and pasture ecotones on the edge of the city by knowing the thresholds.   Funding There is no funding support.   Authors’ Contribution Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.   Conflict of Interest Authors declared no conflict of interest.   Acknowledgments  We are grateful to all the scientific consultants of this paper.

Facilities built in areas affected by earthquake activity, such as tunnels, which have always been an integral part of human life, must withstand both dynamic and static loading. It has led to the need for practical studies on the effects of earthquakes on underground structures and the factors affecting their destruction. For this purpose, in this research, at first different patterns of tunnel’s excavation were investigated and by using Plaxis 2D software and based on Tabas earthquake in Iran, sensitivity analysis on geotechnical parameters of the soil surrounding tunnel such as cohesion, friction angle, unit weight and modulus of elasticity was carried out, and the parameters whose changes have the greatest and least effects on the bending moment changes on the tunnel lining are introduced. The results show that tunnel excavation patterns significantly affect the bending moment, axial forces, displacements, and surface settlement of the tunnel. Often, by dividing tunnel excavation area to small parts, the values of bending moment, axial forces, displacements, and surface settlement of the tunnel decreases in static analysis. Also, outputs of sensitivity analysis on geotechnical parameters of the soil surrounding tunnel showed that modulus of elasticity of the soil surrounding tunnel has the most effect and cohesion changes have the least effect on bending moment induced on tunnel lining..

Background: Acute coronary syndrome (ACS) is one of the causes of disability and death. Levels of Uric acid, blood glucose, and dyslipidemia are the risk factors for the disease, but their role in electrocardiographic changes has not been studied. Based on this, this study aimed to investigate the relationship between some demographic and clinical characteristics with electrocardiographic changes. Methods: This cross-sectional study was performed on 484 patients with Acute Coronary Syndrome admitted to Shahroud Imam Hossein Hospital from the beginning of January to the end of June 2018. In this study, the relationship between demographic, clinical and laboratory variables in patients with the acute coronary syndrome with STE, STD, Dynamic changes and inverted T waves were investigated. The required information was extracted from the Patientschr('39') records using the researcher-made checklist. Statistical analysis of data was conducted by using descriptive tests for estimating mean and frequency and statistical-analytical tests including chi-square and ANOVA were performed by SPSS software version 22. Results: The results show that the proportion of STD deviations in women with ACS was 12. 6% higher than in men, but the proportion of STE and Dynamic changes in men was 10. 4% and 12. 2% higher than women, respectively. The proportion of STD, STE, inverted T and Dynamic changes in people with hyperlipidemia was 67. 8%, 77. 6%, 64. 7% and 75. 8%, respectively. The proportion of STD, STE, inverted T and Dynamic changes in patients with hypertension were 0. 12%, 5. 1%, 11. 2%, and 19. 1%, respectively that there was a difference with patients without high blood pressure. Between addiction, fasting blood sugar and LDL with STD; Between History of heart disease, history of angiography, hypertension, creatinine and WBC with STE; and between creatinine and fasting blood sugar statistically significant differences were observed. Conclusion: There were significant correlations between electrocardiogram changes, gender, addiction, hypertension, creatinine, LDL level, fasting glucose and white blood cell count.

During some years of the past decade, the social structures in Ahwaz city are changed, in this field we can point to changes in social communication and social stratification. Assessment of social changes in modernization process context in this territory have a different nature that in small and long term period have a variety influences, in this article has study the effect of modernization process and its elements like: urbanization, education, technology, transportation, public media, modern health and mechanism of these effects on social and social stratification. This research was conduct by survey method. We use self-built questionnaire to data collection. Statistical population in research is all family in Ahwaz that is 270632, sampling method is multistage cluster sampling, for determining sample size was used Cochran’s formula that are 1082 person. For Analysis data, was used SPSS version 21, for examine the relation between variable and factor validity was used Smart PLS. Findings of structuring modeling indicate those are significant relationship between education, urbanization, medium& transportation with social changes, these relationship can predictable, two variable exit from model because are prediction variable.

Capital is one of the fundamental factors in assessing the health and stability of the banking system. On the other hands, the value of the banks’ capital has a significant effect on their competitive position. Therefore, the utility and appropriateness of the capital base is as safe cover against a wide range of banking risks. The purpose of this study was to determine the effect of Buffer capital changes on the risk changes of banks’ portfolios. This research has been collected in term of applied methodology and accomplished transaction data in the period of five years from 2011 to 2015. The statistical population of the study consisted of 17 with systematic elimination sampling from Stock Exchange organization. For analyzing the data, Linear Regression and Correlation tests were used Eviewse software. The research results show, changes in Buffer capital have a significant effect on portfolio risk changes and given the negative coefficient of the variable of the Buffer capital changes, there is an inverse relationship between Buffer capital changes and portfolio risk changes. Also, Buffer capital changes in interaction with the business cycle, income diversification and asset fluctuation affects banks’ portfolio risk changes.