Policy-making in tourism development planning necessitates the adoption of innovative methodologies within the domain of urban governance. In alignment with this framework, it is imperative to implement policies that focus on the processes of "developing a good governance model for tourism in the post-COVID-19 era in Iran." This approach aims to mitigate the challenges posed by the pandemic, which has imposed significant strain on the tourism industry by reducing the evaluation of tourism governance indicators and establishing a foundation for their implementation. The methodology of this research is descriptive-survey with a practical focus, employing both documentary studies and field research. The qualitative component of the study utilized interviews as a tool for data analysis and the examination of relevant tourism indicators. The statistical population comprises experts and stakeholders involved in the tourism sector in Iran, with a sample size of 14 individuals selected through a combination of purposive and snowball sampling techniques. In-depth semi-structured interviews were conducted, and the data were analyzed through a process of open, axial, and selective coding until theoretical saturation was achieved, leading to the categorization of main and sub-categories. The data analysis was informed by the grounded theory methodology. The findings of this research, which identify indicators of effective governance and elucidate the causal conditions for the application of such governance in Iran's tourism industry, provide a foundation for potential outcomes, including the enhancement of the business environment, particularly in the aftermath of the economic downturn experienced due to the COVID-19 pandemic. These outcomes may lead to the creation of competitive advantages through the establishment of conducive platforms, including organizational measures, infrastructure development, technological enhancements, and the implementation of information and communication management strategies, marketing strategies, and oversight mechanisms, all of which are articulated as a comprehensive model.

Understanding the daily weather types of any specific location is crucial for identifying its long-term climate patterns. In this study, we utilized the Wos classification method in conjunction with a comprehensive climatological approach to analyze key variables, including minimum, average, and maximum temperatures, as well as cloud cover and daily precipitation. Data from 1985 to 2021 were collected from 39 synoptic stations, which exhibited a well-distributed representation across the country and provided complete datasets. Weather types were identified using established coding techniques. The findings indicated that the predominant temperature types in the country are primarily categorized as hot and very hot, with sub-codes reflecting generally low to moderate cloud cover and negligible precipitation. Furthermore, the application of Ward's clustering method facilitated the identification of three distinct climatic groups. The geographical characteristics of each location, including factors such as altitude, latitude, proximity to the sea, and synoptic influences, play a significant role in the regional differentiation of these groups within the country. The outcomes of this research can be instrumental in developing weather calendars for various regions, with implications for numerous sectors including agriculture and tourism.
 

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).
 

To assess thermal comfort conditions in classrooms, a field study was conducted in Sabzevar. The thermal sensations reported by students regarding classroom conditions were documented at various times throughout the day during the 2009–2010 academic year across multiple classes. temperature and humidity data within the classrooms were recorded simultaneous using a data logger. To analyze differences, both ANOVA and the Kruskal-Wallis test were employed. The findings indicated that the geographical orientation and floor level of the classrooms did not significantly influence temperature and humidity levels. In contrast, significant hourly variations in these parameters were observed. Overall, reports of cooling sensations were more prevalent than those of heating sensations (24% vs. 12%). Thermal sensation exhibited considerable variation across different months, with October recording the lowest frequency of thermal comfort sensations. In all months except October, students expressed a preference for "heating." Although the performance of the heating system was deemed adequate, its operational schedule should be modified to commence closer to the beginning of morning classes in order to mitigate substantial energy waste. While temperature and humidity within the classrooms did not present significant monthly variations, students' thermal sensations varied markedly between months. This suggests that thermal sensation is influenced by factors beyond mere physical characteristics (temperature and humidity). In addition to climatic parameters, individual characteristics such as sex, age, weight, height, clothing, and activity level also play a significant role in shaping perceptions of thermal comfort. 

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. 

In the domain of spatial planning for border areas, it is imperative to adopt a macro-perspective view of geography to effectively identify the potentialities, capabilities, and limitations inherent to these regions. This approach aims to mitigate tensions and challenges arising from unbalanced development, deprivation, and spatial heterogeneity. The research methodology employed in this study is applied in purpose, utilizing a descriptive-analytical approach in terms of method. Specifically, a combination of multi-criteria decision-making techniques, including the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the Shannon entropy coefficient, has been utilized to evaluate the distribution and development of spatial development indicators within the health service sectors of Kurdistan Province. The border cities of this province have been classified according to their levels of these indicators. The central research question of this study is: What is the state of the cities in Kurdistan Province concerning the spatial distribution of health and service indicators? Preliminary findings suggest that the level of access to health services in each of the border cities in Kurdistan Province does not meet the desired standards. The results indicate that, despite its strategic geopolitical significance, Kurdistan Province remains one of the most deprived regions in the country. Furthermore, there exists a notable imbalance and heterogeneity in the distribution and development of facilities and indicators across the border cities of the province. An analysis of 13 indicators pertaining to spatial organization across four border cities reveals that Saqez and Baneh are classified within the semi-privileged (semi-deprived) group, while Marivan and Sarvabad fall within the deprived category. Consequently, the findings underscore that the spatial organization in the border cities of Kurdistan Province is markedly heterogeneous, positioning these cities at a middle to lower level in terms of health service development. It is essential to afford particular attention to this border province to ensure the enduring security and well-being of its citizens.