The aim of this study was to analyze scientific production on accounting strategies for the management of sporting events over the last 20 years. The methodology used was mixed, combining the quantitative perspective of bibliometric analysis and the qualitative perspective of the case study, to deepen the analysis of the data set. Using bibliometrics, the number of scientific papers on this topic was quantified. For the study, 853 papers from Scopus and Google Scholar were considered that met the inclusion criteria in terms of relevance and keywords in English (accounting strategies, financial strategies and sporting events). Between 2021 and 2024, scientific production increased significantly (n = 376; 44.1%), with the United States being the largest contributor, with 21.7%. In addition, Plos One was the most important source, with 22 publications. The most cited author was Crawford (333 citations). Most of the publications (81%) were scientific articles, with 37% focused on medicine and 12% focused on social sciences. It is concluded that the literature on accounting strategies for sport event management has been the subject of research, with a wide variety of authors, topics, countries, and resources in general. Thus, financial planning, cost control, proper revenue recognition, tax compliance, all these strategies enable the organization of a sporting event to be profitable, efficient and sustainable. As a result, there is a complete picture of the global influence, perception and importance of research on this topic, which lays the groundwork for future research in this field. The value of the research lies in its ability to provide evidence-based solutions to improve the financial efficiency and sustainability of sporting events.

With the development of college education and the increasing demand of students' comprehensive quality training, the second classroom in colleges and universities has attracted much attention as an important form of education. The purpose of this study is to investigate and analyze the development of the second classroom in colleges and universities, and put forward corresponding countermeasures and suggestions. Through mixed research methods, including questionnaire survey, interview and literature research, we have a comprehensive understanding of the type and quantity of college second classroom projects, student participation, project quality and effectiveness, and organization and management. On this basis, we put forward a series of targeted countermeasures and suggestions, including strategies and measures to improve student participation, suggestions to improve the quality and effect of the project, and optimize the program of organization and management. The results of this study have important theoretical and practical significance for universities to improve the level of the second classroom and promote the all-round development of students.

Relational database models offer a pathway for the storage, standardization, and analysis of factors influencing national sports development. While existing research delves into the factors linked with sporting success, there remains an unexplored avenue for the design of databases that seamlessly integrate quantitative analyses of these factors. This study aims to design a relational database to store and analyse quantitative sport development data by employing information technology tools. The database design was carried out in three phases: (i) exploratory study for context analysis, identification, and delimitation of the data scope; (ii) data extraction from primary sources and cataloguing; (iii) database design to allow an integrated analysis of different dimensions and production of quantitative indicators. An entity-relationship diagram and an entity-relationship model were built to organize and store information relating to sports, organizations, people, investments, venues, facilities, materials, events, and sports results, enabling the sharing of data across tables and avoiding redundancies. This strategy demonstrated potential for future knowledge advancement by including the establishment of perpetual data updates through coding and web scraping. This, in turn, empowers the continuous evaluation and vigilance of organizational performance metrics and sports development policies, aligning seamlessly with the journal’s focus on cutting-edge methodologies in the realm of digital technology.

In order to diversify a portfolio, find prices, and manage risk, derivatives products are now necessary. There is a lack of understanding of the true influence of derivatives on the behavior of the underlying assets, their volatility consequences, and their pricing as complex instruments. There is a dearth of empirical research on how these instruments impact company risk exposures and inconsistent findings. This study examines corporate derivatives’ impact on stock price exposure and systematic risk in South African non-financial firms. Using a dataset of listed firms from 2013 to 2023, we employ Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models to assess the effect of derivatives on return volatility and beta, a measure of systematic risk. Additionally, we apply the Generalized Method of Moments (GMM) to address potential endogeneity between firm characteristics and derivatives use. Our findings suggest that firms using derivatives experience lower overall volatility and reduced systematic risk compared to non-users. The results are robust to various control factors, including firm size, leverage, and macroeconomic conditions. This study fills a gap in the literature by focusing on an underrepresented emerging market and provides insights relevant to global risk management practices.

A numerical investigation utilizing water as the working fluid was conducted on a 2D closed loop pulsating heat pipe (CLPHP) using the CFD software AnsysFluent19.0. This computational fluid dynamics (CFD) investigation explores three instances where there is a consistent input of heat flux in the evaporator region, but the temperatures in the condenser region differ across the cases. In each case, the condenser temperatures are set at 10 ℃, 20 ℃, and 30 ℃ respectively. The transient simulation is conducted with uniform time steps of 10 s. Generally, the heat rejection medium operated at a lower temperature performs better than at a higher temperature. In this CFD study the thermal resistances gets decreased with the decreasing value of condenser temperatures and the deviation of 35.31% of thermal resistance gets decreased with the condenser region operated at the temperature of 10 ℃.

Agriculture is a determining factor regarding the development of the Romanian economy, noting its importance for population consumption and as a supplier of raw materials for the relaunch of other industries. Agricultural financing consists of credits granted to natural or legal persons for developing agricultural activities, expanding agricultural holdings, and commercializing agricultural production. The objective of this research is the statistical analysis of the determining factors in granting loans to Romanian farms. The study is based on the content analysis of the accounting reports of the 45 Romanian farms included in the research sample, based on which the profile of the farmer from the selected counties (Alba, Cluj, Mures, Sibiu, Dambovita and Prahova) is outlined. The obtained results highlight the fact that factors such as the requested amount (SUSO) are directly influenced by the worked area (TELU), by the turnover (CIAF), R = 0.6228, but also by the total value of the assets (TOTAL) R = 0.454. At the opposite pole, there is a weak correlation between SUSO and current liquidity (LICU), R = 0.2754, and the value of recorded expenses (CHEL), R = 0.3102. Implementing a credit policy that facilitates access to financing sources would support farms in modernization and development, increasing their competitiveness and general viability.