China is currently at a critical juncture in implementing the rural revitalization strategy, with urbanization and tourism development as crucial components. This study investigates 41 counties (cities) in the Wuling Mountain area of central China, constructing an evaluation system for the coordinated development of these two sectors. The coupling coordination degree is calculated using a combination weighting method and the coupling coordination degree model. Spatio-temporal evolution characteristics are analyzed through spatial autocorrelation, while the geographic detector explores the driving factors of spatial variation. The findings reveal a significant increase in coupling coordination between urbanization and tourism, transitioning towards a coordinated phase. Spatially, urbanization and tourism exhibit positive correlations, with high-value clusters in the southeast and northwest and low-value clusters in the south. The geographical detector identifies industrial factors as the most critical drivers of spatial variation. This study offers novel insights into the dynamics of urbanization and tourism, contributing to the broader literature by providing practical implications for regional planning and sustainable development. The results are relevant to the Wuling Mountain area and serve as a reference for similar regions globally. However, the study has certain limitations, such as regional specificity and data availability, which should be considered in the context of this research.

The scientificity and truthfulness of Marxist theory are crucial aspects of our research. To gain a comprehensive understanding, it is essential to examine Marxism within a reference frame and comparative perspective. In this regard, exploring Marx's critique of Proudhonism becomes significant, as it provides insights into the ideological transformations he achieved. Proudhonism, a small bourgeoisie socialism and anarchism that emerged in France in the 1840s and spread across Western Europe in the 1850s-1860s, had intricate connections with Marxism. This analysis not only broadens our research horizon but also holds practical implications for today's society. Thus, our research holds both theoretical and practical significance.

The recent crisis-filled period has placed a significant burden on various businesses, including in the tourism sector. As a result, the concept of resilience, the flexible ability to resist, has become more and more tangible. This study aims to update the quantitative organizational resilience assessment scale of Orchiston, Prayag and Brown. The paper analyses a sample of 87 tourism service providers managing attractions, and factor analysis was carried out to identify the factors in order to be able to measure the resilience of tourism service providers. Four factors could be identified: Leadership and Organization, Strategy, Independence, and Internal Identity. These identified factors and the included 14 items mean the key contribution, as a new, updated assessment system.

From the perspective of urban school symbiosis, examining the relationship between art universities and their respective cities has pointed out new social service paths for the development of art universities. This article summarizes the characteristics of art universities serving society in the context of urban school symbiosis, which helps to better understand the important role of art universities in serving society and provides theoretical reference for the specific practice of art universities serving society; Summarizing and summarizing the development path of art universities serving society under the background of urban school symbiosis can help better play the role of art universities in serving society and improve their effectiveness in serving society.

Historically, women have faced progressive and persistent obstacles and prejudices preventing them from fully participating in and receiving recognition for scientific research in academia. In Panama, local gender studies specifically targeting the area of academia are scarce. However, to close the gender gap, this article tries to uncover the realities of women academics who dare to research and do science in Panama, beyond statistics. A virtual survey was distributed from May to August 2023, in which 921 academics (45% men and 55% women) affiliated with public universities in Panama were surveyed. Through an empirical analysis from a gender perspective, participants’ attitudes and perceptions on the effects of the covid-19 pandemic on research, the quality of higher education in Panama, the dissemination and transmission of knowledge, and research as an adjuvant to higher education were revealed. Findings reiterate the gender bias and underrepresentation of women in Panamanian public universities and the lack of commitment to their capacity building, research, and dissemination of results. It also confirmed that, despite the covid-19 pandemic and its negative effects in all areas, the importance and recognition of scientific research were highlighted, allowing women academics to excel competitively and take advantage of new opportunities in their career development.

In rural areas, land use activities around primary arterial roads influence the road section’s traffic characteristics. Regulations dictate the design of primary arterial roads to accommodate high speeds. Hence, there is a mix of traffic between high-speed vehicles and vulnerable road users (pedestrians, bicycles, and motorcycles) around the land. As a result, researchers have identified several arterial roads in Indonesia as accident-prone areas. Therefore, to improve the road user’s safety on primary arterial roads, it is necessary to develop models of the influence of various factors on road traffic accidents. This research uses binary logistic regression analysis. The independent variables are carelessness, disorderliness, high speed, horizontal alignment, road width, clear zone, road shoulder width, signs, markings, and land use. Meanwhile, the dependent variable is the frequency of accidents, where the frequency of accidents consists of multi-accident vehicles (MAV) and single-accident vehicles (SAV). This study collects data for a traffic accident prediction model based on collision frequency in accident-prone areas. The results, road shoulder width, and road sign factor all have an impact on the frequency of traffic accidents. According to a realistic risk analysis, MAV and SAV have no risk difference. After validation, this model shows a confidence level of 92%. This demonstrates that the model generates estimations that accurately reflect reality and are applicable to a wider population. This research has the potential to assist engineers in improving road safety on primary arterial roads. In addition, the model can help the government measure the impact of implemented policies and engage the public in traffic accident prevention efforts.