This paper studies the product language construction of the twisted porcelain cultural heritage. Through field research, we collected and sorted out samples of twisted porcelain products, explored the product language characteristics of twisted porcelain from multiple aspects such as production process, product shape, and product color, interpreted cultural value, captured potential connotations, extracted representative words from user comments, quantified the relationship between users and twisted porcelain culture, realized the construction and transmission of traditional cultural language information, conveyed the traditional cultural information of the product to users, and promoted the sustainable dissemination and development of this cultural heritage. The research results show that after mining and extraction at the level of twisted porcelain characteristics, the core language constructs the cultural expression of twisted porcelain products, which is more in line with the needs of the market and users, and has the potential to be developed and disseminated using the language generation of cultural heritage products.

Air cargo transportation accounts for less than 1% of the global trade volume, yet it represents approximately 35% of the total value of goods transported, highlighting its strategic importance in trade and economic development. This study investigates the relationship between domestic air cargo transport in Brazil and key macroeconomic variables, focusing on how regional economic dynamism, logistical infrastructure, and population density impact the country’s development. Using a panel data regression model covering the period from 2000 to 2020, the study analyzes the evolution of air cargo transportation and its role in redistributing economic growth across Brazil’s regions. The findings emphasize the key factors influencing the air cargo sector and demonstrate how these factors can be leveraged to optimize public policies and business strategies. This research provides valuable insights into the relevance of air cargo transportation for regional and national development, particularly in emerging economies like Brazil, offering guidance for the formulation of strategies that promote balanced economic growth across regions.

This study explores the role of arts management in regional economic development within major Chinese cities, including Beijing, Shanghai, and Shenzhen. Cultural organizations—such as museums, theaters, and galleries—contribute significantly to local economies through tourism, job creation, and the enhancement of cultural branding. Using a qualitative approach, 18 semi-structured interviews with arts managers and policymakers selected based on their influential roles in cultural organizations across these cities. The interviews were analyzed using thematic analysis, which identified key themes including the economic impact of cultural organizations, the influence of government policies, challenges in arts management, and the role of cultural tourism in fostering regional growth. The findings reveal that while government policies play a pivotal role in supporting cultural organizations, providing crucial funding, tax incentives, and infrastructure development, concerns remain about the long-term sustainability of funding due to shifting political and economic priorities. Additionally, arts managers face challenges related to balancing artistic goals with financial viability, particularly as the sector becomes increasingly competitive and technology-dependent. Key challenges identified include securing stable funding sources, adapting to digital technologies, talent retention, and maintaining artistic integrity amid commercial pressures. The study highlights the need for diversified funding models such as public-private partnerships and alternative revenue streams and suggests further exploration into the role of smaller cultural organizations in rural regions to promote inclusive regional development. Practical recommendations include developing strategies to enhance financial sustainability, investing in digital capabilities, and formulating policies that provide long-term support for the cultural sector. Overall, the research contributes to a better understanding of how effective arts management can drive regional economic development and offers practical recommendations for strengthening the sustainability of China’s cultural sector.

Malaria is an infectious disease that poses a significant global health threat, particularly to children and pregnant women. Specifically, in 2020, Rampah Village, Kutambaru sub-district, Langkat Regency, North Sumatra Province, Indonesia, reported 22 malaria cases, accounting for 84% of the local cases. This study aims to develop a malaria prevention model by leveraging community capital in Rampah Village. A mixed-method sequential explanatory approach, combining quantitative and qualitative methods, was employed. Quantitative data were collected through questionnaires from a sample of 200 respondents and analyzed using structural equation modeling (SEM) with Smart PLS (Partial Least Squares) software. The qualitative component utilized a phenomenological design, gathering data through interviews. Quantitative findings indicate that natural capital significantly influences malaria prevention principles. There is also a positive and significant relationship between developmental capital and malaria prevention. Cultural capital shows a positive correlation with malaria prevention, as does social capital. The qualitative phase identified cultural capital within the Karo tribe, such as ‘Rakut si Telu,’ which signifies familial bonds fostering mutual aid and respect. The results of this study are crucial for formulating policies and redesigning community-capital-based malaria prevention programs. These programs can be effectively implemented through cross-sectoral collaboration among health departments, local government, and community members. Malaria is a communicable disease threatening global health, particularly affecting children and pregnant women. In 2020, there were 229 million cases of Malaria worldwide, resulting in 409,000 deaths. In Indonesia, specifically in North Sumatra’s Langkat Regency, Kutambaru District, Rampah Village had 22 cases (84%). The purpose of this research is to formulate a Malaria prevention model using community resources in Rampah Village, Kutambaru District, Langkat Regency. The study employed a mixed-methods sequential explanatory approach, combining quantitative and qualitative methods. Quantitative data was collected through questionnaires, with 200 respondents, and structural equation modeling (SEM) analysis using smart PLS (Partial Least Squares) software. Qualitative data was gathered through interviews. The research findings showed a positive relationship between cultural modalities and Malaria prevention (p = 0.000) with a path coefficient T-value of 12.500. The cultural modality and Malaria prevention relationship were significantly positive (p = 0.000) with a path coefficient T-value of 3.603. A positive and significant correlation also exists between development modalities and Malaria prevention (p = 0.011) with a path coefficient T-value of 2.555. Qualitative research revealed the Rakut si Telu cultural modality of the Karo tribe, meaning that family-based social connections create a sense of helping and respecting one another. The Orat si Waluh cultural modality represents daily life practices in the Karo tribe as a form of community-based Malaria prevention.

This article identifies the role of anti-corruption legislation in sustainable development. The descriptive approach is used to achieve the research objectives, as it is the appropriate scientific method suitable for the nature of the study subject in terms of presenting information related to combating administrative corruption. The results indicate that efforts to combat administrative corruption to achieve sustainable development in countries can only be achieved through strict legislation specialized in combating administrative corruption with the activation of accountability mechanisms in all state departments, bodies, and ministries. The results also demonstrate the alignment of the national and international efforts to reduce the phenomenon of corruption through international agreements and treaties. Towards the end, key conclusions and recommendations are also appropriately incorporated.

Every plant is significantly important in tackling climate change, including Makila (Litsea angulata BI) an endemic wood species found in the forest of Moluccas Provinces. Therefore, this research aimed to examine the role of the Makila plant in tackling climate change by measuring biomass content using constructing an allometric equation. The method used was a destructive sampling, where 40 units of Makila plant at the sampling level were felled, and sorted according to root, stem, branch, rating, and leaf segments. Each segment was weighed both at wet and after drying, followed by a classical assumption test in data processing, and the formulation of an allometric equation. The regression model was examined for normality and suitability in predicting independent variables, ensuring there were no issues with multicollinearity, heteroscedasticity, and autocorrelation. The results yielded a multiple linear regression, namely: Y = −1131.146 + 684.799X₁ + 4.276X₂, where Y is biomass, X₁ is the diameter, and X₂ is the tree height. Based on the results of the t-test: variable X₁ partially affected Y while variable X₂ partially had no effect on Y. The F-test indicated that variables X₁ and X₂ jointly affected Y with R Square: 0.919 or 91.9% and the rest was influenced by other unexplored factors. To simplify biomass prediction and field measurement, a regression equation that used only 1 independent variable, namely tree diameter, was used for the experiment. Allometric equation only used 1 variable, Y = −1,084,626 + 675,090X₁, where X₁ = tree diameter, Y = Total biomass with R = 0.957, and R² = 0.915. Considering the potential for time, cost, and energy savings, as well as ease of measurement in the field, the biomass of young Makila trees was simply predicted by measuring the tree diameter and avoiding the height. This method used the strong relationship between biomass, plant diameter, and height to facilitate the estimation of biomass content accurately by entering the results of field measurements.