Tourist visits to a destination or attraction as a result of the destination being featured on television, video, or the cinema screen were the ones, that stimulated the creation and development of film tourism, which quickly established itself in global conditions. The main objective of the paper was focused on the identification and the perception of the conditions of film tourism development in Slovak republic. So far, a lot of film production has been realized in the country, but this potential has not yet been properly used for the creation of tourism products. Implementation of the study from a methodological point of view took place using several research methods. The pilot scientific abstraction of the issue was followed by the analysis of film conditions in the territory of Slovak Republic and their categorization. The given starting points were followed by the implementation of questionnaire research, the results of which were verified using several research methods such as Doornik-Hansen test, Kruskal-Wallis test. The results of the questionnaire research show a significant positive perception of the potential of filmmaking as a significant factor in the creation of new tourism products. At the same time, they identify key destinations that could potentially become objects of product realization. Due to the fact that this issue has not received adequate attention in domestic conditions, the study brings a new, more comprehensive view of the topic and emphasizes the power of the potential for further development.

The extent to which businesses incorporate Naga worship into their strategies and operations and its effect on their success remains ignored. This study employed a multidisciplinary approach to examine the diverse practices of Naga worship in business contexts across different regions. This study utilized a mixed-methods research design to provide insights into the strategic integration of Naga worship into business practices and its impact on business performance. It employed a questionnaire to gather insights from respondents about their demographic data, awareness of Naga worship, its integration into business practices, consumer perceptions and behaviors, and overall business performance. Follow-up, in-depth interviews were developed to probe deeper into respondents’ experiences, motivations, and perceptions regarding the integration of Naga worship into their business practices. Most respondents agreed to integrate Naga worship into their company practices or marketing plans by using Naga symbols in branding, doing rituals for success, providing Naga-themed products and services, and scheduling activities on auspicious Naga-related dates. Respondents perceived companies that venerate Naga as culturally genuine and focused on the community. Worshipping the Naga deity improved the brand’s and corporation’s image and reputation. People patronized these enterprises by buying products and services associated with Naga culture. A substantial portion of respondents believe that worshiping Naga enhances commercial prosperity. Yet, a few participants from different regions mentioned difficulties regarding the integration of Naga religious customs.

The sea level rise under global climate change and coastal floods caused by extreme sea levels due to the high tide levels and storm surges have huge impacts on coastal society, economy, and natural environment. It has drawn great attention from global scientific researchers. This study examines the definitions and elements of coastal flooding in the general and narrow senses, and mainly focuses on the components of coastal flooding in the narrow sense. Based on the natural disaster system theory, the review systematically summarizes the progress of coastal flood research in China, and then discusses existing problems in present studies and provide future research directions with regard to this issue. It is proposed that future studies need to strengthen research on adapting to climate change in coastal areas, including studies on the risk of multi- hazards and uncertainties of hazard impacts under climate change, risk assessment of key exposure (critical infrastructure) in coastal hotspots, and cost-benefit analysis of adaptation and mitigation measures in coastal areas. Efforts to improve the resilience of coastal areas under climate change should be given more attention. The research community also should establish the mechanism of data sharing among disciplines to meet the needs of future risk assessments, so that coastal issues can be more comprehensively, systematically, and dynamically studied.

Afforestation is a main tool for preventing desertification and soil erosion in arid and semiarid regions of Iran. Large-scale afforestation, however, has poorly understood consequences for the future ecosystems in the term of ecosystems protection. The objective of the present study is to identify changes in soil properties following different intervals of planting of Ailanthus altissima (tree of heaven) in semiarid afforestation of Iran (Chitgar Forest Park, Tehran). For this purpose, sand, silt and clay ratios, bulk density, soil moisture, pH, electrical conductivity, phosphorus, potassium, magnesium, calcium, sodium, total soil N, and total carbon was measured. Our study highlighted the potential of the invasive trees by A. altissima, to alter soil properties along chronosequence. Almost all soil quality attributes showed a declining trend with stand age. A continuous decline in soil quality indicated that the present land management may not be sustainable. Therefore, an improved management practice is imperative to sustain soil quality and maintain long-term productivity of plantation forests. Thinning activity will be required to reduce the number of trees competing for the same nutrients especially in a older stand to protect forest soils.

Fire, a phenomenon occurs in most parts of the world and causes severe financial losses, even, irreparable damages. Many parameters are involved in the occurrence of a fire; some of which are constant over time (at least in a fire cycle), but the others are dynamic and vary over time. Unlike the earthquake, the disturbance of fire depends on a set of physical, chemical, and biological relations. Monitoring the changes to predict the occurrence of fire is efficient in forest management. Method: In this research, the Persian and English databases were structurally searched using the keywords of fire risk modeling, fire risk, fire risk prediction, remote sensing and the reviewed papers that predicted the fire risk in the field of remote sensing and geographic information system were retrieved. Then, the modeling and zoning data of fire risk prediction were extracted and analyzed in a descriptive manner. Accordingly, the study was conducted in 1995-2017. Findings: Fuzzy analytic hierarchy process (AHP) zoning method was more practical among the applied methods and the plant moisture stress measurement was the most efficient among the remote sensing indices. Discussion and Conclusion: The findings indicate that RS and GIS are effective tools in the study of fire risk prediction.

In view of the fact that the convolution neural network segmentation method lacks to capture the global dependency of infected areas in COVID-19 images, which is not conducive to the complete segmentation of scattered lesion areas, this paper proposes a COVID-19 lesion segmentation method UniUNet based on UniFormer with its strong ability to capture global dependency. Firstly, a U-shaped encoder-decoder structure based on UniFormer is designed, which can enhance the cooperation ability of local and global relations. Secondly, Swin spatial pyramid pooling module is introduced to compensate the influence of spatial resolution reduction in the encoder process and generate multi-scale representation. Multi-scale attention gate is introduced at the skip connection to suppress redundant features and enhance important features. Experiment results show that, compared with the other four methods, the proposed model achieves better results in Dice, loU and Recall on COVID-19-CT-Seg and CC-CCIII dataset, and achieves a more complete segmentation of the lesion area.