Dates are one of the most important agricultural products exported from Iran. This plant is sensitive to environmental conditions and is not able to live and reproduce in all hot and dry areas in terms of quantity and quality. Dates have different varieties; each of them has the potential to adapt to a region of arid regions and can have the most production and economic yield in its proper place. Global warming in the last century has led planners to design pre-awareness programs and algorithms due to future climatic conditions in order to choose long-lived durable plants that can survive in future environmental conditions and have good economic yield. One of the best is the Maximum Entropy model. The aim of the present study is to identify the growth potentials of dates palm verities using CCSM4 model and scenarios of 2.6, 4.5, 0.6 and 8.5. The phonological data of cultivars were harvested by field method in 2016 and 2017. According to the model,  The results showed that the dates of Astamaran and Berhi dates are different in terms of the length of phonological growth and thermal needs until the fruit ripened, and the places prone to their growth during the 2050 and 2070 periods were not the same based on the model. In addition, to bioclimatic variables for the long-term use of long-lived perennial crops, the location data required for cultivation should be used to introduce different cultivars to the environment.

The aim of the present study is to dynamically model the spatial-temporal characteristics of dust in the south and southeast of Iran with REG-CM4 model using monthly dust data and RegCM4 data. For this purpose, the dust distribution of the IDW method along with the dust diagrams were plotted. The RegCM4 model was implemented with the paired Lambert image imaging system for 40 km horizontal separation with the paired chemistry model. The location of monthly and annual dust distribution shows the highest amounts of dust for the cities of Zabol, Bandar Abbas, Zahedan and Jask compared to Sirjan, Kahnooj and Lar stations. The highest frequency of dust in Sistan and Baluchestan (48%), Hormozgan (27%) and Fars provinces with 16% and the lowest frequency for Kerman province (9%). In general, the summer seasons (at Sistan station) and the winter (Kerman station) have the highest and minimum dust events, respectively. The time survey also has the highest amount of dust for the warm months of the year and the lowest for the cold months of the year. July at Zabol station and November and December at Sirjan station have the highest and lowest dust levels, respectively. The RegCM4 climate model also shows maximum dust on the southeast, south and south coasts for different variables.

Climate change, including spatial changes in rainfall following the increase in greenhouse gases, is a challenge that affects various aspects of life in human societies today. In this study, the long-term spatial changes of the rainy season from September to May were studied using the statistics of "local Moran" and "Hot spots of Getis Ord-J" during 5 5-year periods from 1991 to 2015. The application of local Moran statistics showed that areas with long rainfall periods are in good agreement with the countrychr('39')s rainfall pattern. This adaptation is accompanied by a negative spatial correlation in lands with short rainfall periods. The pattern obtained from the hot spot statistics also showed itself to be more consistent and corresponded to two very low rainfall regimes in the southeast and center, while according to local Moran statistics, this pattern was more scattered and parts of it had a low southern precipitation regime. . In addition, the results of Alexandersonchr('39')s statistics to identify mutations in the long-term series of the rainy season showed that the time series of 13 stations out of 108 stations studied experienced a sudden jump that these mutations are more in the southern stations in the country and in later years. It has occurred since 2000 AD.

Rural indigenous entrepreneurship is one of the youngest research areas to show that in Iran, one of the largest countries in Asia and has rich cultural heritage and indigenous communities, the issue of native rural entrepreneurship has not been addressed so far. Therefore, the present article, as an analytical assessment and with a variety of approaches based on richness and conceptual diversity in the fields of social sciences, economic, planning and rural development, uses a systematic approach, while introducing entrepreneurship while introducing entrepreneurship. Rural native to introduce native rural entrepreneurship to the context of future research in the country. This article contributes to a comprehensive understanding of native entrepreneurship research by analyzing literature and research lines. In this regard, the present article, which is intended for the purpose and information provided by the documentary method, sought to answer the questions about what elements of the difference between native rural entrepreneurship and classical entrepreneurship? What are the unique goals and characteristics of rural native entrepreneurship? And what are the (model) pattern for the development of native rural entrepreneurship in Iran? The results of the study indicate that indigenous entrepreneurship is different from classical/ Western entrepreneurship, and emphasizes elements such as the use of indigenous resources, indigenous cultural values, collective interest, family relationships and family/ family ties. The results showed that rural native entrepreneurship is not necessarily in response to market needs and is mostly aimed at providing family livelihoods, environmental protection, cultural and spiritual value. Unlike Western-style entrepreneurship, rural native entrepreneurship shows elements of equality-equality, collective/kinship activity, and emphasis on available cultural values ​​and natural resources. Rural indigenous entrepreneurship is often carried out with intra -household livelihoods and mostly with non -economic goals such as preserving livelihoods, preserving indigenous culture, protecting the environment and spiritual goals.

The current research is based on the process of algorithmic design and simulation of village boundaries using the Grasshopper plugin in the Rhino software. The proposed algorithm utilizes the image simulator component and its importer in the Grasshopper plugin to input two-dimensional images taken from samples into this plugin. Before entering the data, the input images are converted to black and white to allow the system to distinguish between the background texture and the subject of analysis. Additionally, the proposed algorithm identifies the village boundary by comparing the subject and the text in the pixels of the two-dimensional image. By calculating the internal area of the identified boundary, the algorithm estimates the proportion of textures relative to the background. The main objective of this research is to examine the impact of green and dry textures as natural factors on the density of residential texture in terraced villages in Iran, across various climates. In addition to identifying the density of village textures, emphasizing the comparison of parameters will provide new insights into the texture of terraced villages. The simulation analysis tool, known as the density measurement algorithm, is developed based on aerial maps created by the researchers for this study. By using inverted aerial maps, this algorithm can determine the density of natural texture in the formation of villages and residential texture. This capability reduces the need for physical presence and enhances the accuracy of outputs in analyzing village texture. Furthermore, the identification of parameters will provide the next generation of rural housing with the density pattern of previous generations.

Each plant needs a certain amount of heat at the time of planting and during its growth and development. The purpose of this research is to determine the thermal requirements of grain corn in the stages of growth phenology in the climatic conditions of Moghan and to determine the suitable cultivation areas in terms of heat requirements in northwest Iran. For this purpose, the technology of corn variety Single Cross 704 recorded consecutively from 2011 to 2014 at the Moghan Meteorological Research Farm and agricultural data from 51 synoptic stations in the northwest of the country (1996-2016) selected from the General Meteorological Organization of the Country have been used. To carry out this research, thermal requirements in each of the 5 main phases of phenology have been determined at the Moghan station, then using the regression equation between the 15-day average of temperature and altitude, a temperature-temperature history map for seed cultivation in all stations from the first half of the year was drawn using Geographic Information System software. Also, the length of scientific periods and the degree of growth day were calculated and the relevant maps were drawn using the Kriging method. Then, it was combined with the layers of altitude, slope of the region and land use, and finally, a zoning map of lands suitable for grain corn cultivation in the northwest of the country was drawn. Based on the results obtained, 27.6 percent of the study area is capable of cultivating this plant.

Water is a strategic and scarce resource that has become increasingly limited in recent years due to a variety of national and transnational factors, significantly impacting security, stability, development, and prosperity in various countries. The profound influence of water on these domains has positioned it at the forefront of the foreign policy and hydropolitical relations of numerous nations, including those in South West Asia. In recent years, despite the prominence of the water crisis and its implications for the relations between Iran and Iraq within scholarly, political, and media discussions, the complexities of this issue remain poorly understood, leading to disparate interpretations. 
The current research, which is exploratory in nature, utilized library methods for data collection with the aim of achieving a qualitative understanding of the multifaceted hydropolitical relations between Iran and Iraq. This study not only seeks to identify the content and methodological characteristics of existing literature but also aims to uncover research gaps in this field employing a qualitative meta-analysis approach. Through this method, the research examined 34 studies published between 2014 and 2023, including domestic scientific articles, theses, and contributions to reputable international journals. The findings indicate that a comprehensive analysis of the various dimensions of hydropolitical relations between Iran and Iraq has yet to be undertaken. In this context, the absence of accurate and reliable data, alongside the inadequacy of theoretical and cognitive frameworks, represents significant deficiencies in the existing research on the bilateral relations of these two countries.
 

The contemporary global landscape is characterized by heightened geopolitical competition, in which energy resources have evolved from being mere support for nations to becoming pivotal elements in the contest for power. This context has transformed corridors into significant arenas for competition, as each country endeavors to establish its position within the intricate network created by these emerging corridors. In this regard, the prevailing global geopolitical trend has intensified the competition over maritime chokepoints and secured access to cross-border markets.This research serves as a theoretical foundation, employing a descriptive-analytical methodology that incorporates a comparative approach, utilizing library and internet resources for data collection. Within the chronopolitical framework of Iran-Iraq relations, each actor strives to delineate its role in international corridors while pursuing various objectives. For instance, Iraq is actively engaged in the "FAW Corridor" initiative, whereas Iran seeks to expand economic cooperation and secure a place in the burgeoning alliances of the East. While it is challenging to make definitive predictions regarding the future of relations between the two countries from a chronopolitical perspective, emerging signs suggest a trend toward diminished cooperation and increased competition, influenced by a multitude of variables. A key indicator of this potential competition is the rivalry over transit routes (corridors).
 

Extratropical cyclones, characterized by their frequency, duration, and intensity, serve as the primary drivers of mid- and high-latitude precipitation across the Mediterranean during the winter and autumn months. For this research, climatic variables obtained from the ECMWF network, featuring a temporal resolution of 6 hours and a spatial resolution of 0.25° × 0.25°, spanning from 1979 to 2016, were utilized. Additionally, precipitation data from four basin stations sourced from the Asfezari database for the same period were analyzed. Initially, geopotential height, temperature, humidity, and jet stream data for rainy days were extracted using MATLAB. Subsequently, a cyclonic center extraction algorithm was applied to identify cyclonic centers from the geopotential height data, based on the conditions that the geopotential height is at a minimum and the geopotential gradient is at a maximum. From the geopotential height matrix of rainy days (361×441×498), four distinct atmospheric patterns were identified through cluster analysis. The temporal and spatial frequency of these patterns, as well as the average temperature of cyclonic centers, were analyzed for the cold season months. The results indicated that the first pattern, identified as the Mediterranean trough pattern, is the most frequent, occurring 42% of the time. This pattern is characterized by the presence of a high-level system acting as a barrier, which deepens the low-level Mediterranean system and extends its axis toward the Red Sea. The interaction between low-level and high-level systems enhances instability, resulting in the highest precipitation levels among the identified patterns. Conversely, the fourth pattern, termed the western wind trough pattern, exhibits the lowest frequency at 10%. This pattern is characterized by a trough over the Caspian Sea; however, a high-level system in the southern region inhibits the entry of low-level systems, thereby confining cyclonic activity to the northern portion of the study area. Consequently, the isobars in the northern region assume a more orbital configuration, leading to a decreased influx of cyclones and, as a result, lower precipitation amounts compared to the other patterns. The analysis further revealed that cold-core cyclones accounted for 60% of occurrences in winter and 40% in autumn, while hot-core cyclones constituted 62% in winter and 38% in autumn. Notably, the frequency of hot-core cyclones increased relative to cold-core cyclones in winter, whereas an inverse trend was observed in autumn. Over the past decade, both the frequency and intensity of cyclones have diminished compared to the preceding two decades. In terms of cyclogenesis locations, the western part of the study area has consistently emerged as the most active region. Moreover, cyclogenesis activity exhibits a gradual increase from autumn to winter as the cold season progresses. These findings underscore the dynamic nature of extratropical cyclones and their significant role in shaping precipitation patterns across the Mediterranean region.
 

Following the victory of the Islamic Revolution, a new perspective on science and technology emerged in Iran. This scientific discourse was profoundly shaped by the principles of the Islamic Revolution and Islamic ideology, leading to the establishment of new values and objectives for the advancement of science and technology. In the post-revolutionary era, as policymakers recognized science and technology as pivotal drivers of societal progress and excellence, they devised scientific policies and strategies aimed at achieving revolutionary and Islamic ideals. This evolving attitude toward science and technology significantly influenced Iran’s scientific and technological development during this period. Given that the Islamic Republic of Iran has assumed a leading role in scientific leadership within the region since 1979, its contributions to the development of scientific capabilities under successive post-revolution governments are noteworthy. To explore this, a descriptive-analytical approach was employed, utilizing reliable data from both domestic and international sources. The research findings indicate that the prevailing discourse in different governmental periods included a focus on industrialization through import substitution and capital resource allocation (1981–1989), modernization and institutional development with an emphasis on advanced technologies (1989–1997), the promotion of advanced technologies, innovation, export expansion, and social justice centered on knowledge-based industries (1997–2005), the transition toward knowledge-based innovation in the economy (2005–2013), and the enhancement of international cooperation with an emphasis on identity and rationality in policy formulation and implementation (2013–2021). The results demonstrate that, in each phase, measures such as the expansion of higher education and scientific research, the establishment of universities and research centers, and the creation of domestic and international scientific networks were implemented in alignment with the dominant discourse.