Temperament education encompasses a wide range of concepts, focusing particularly on emotions within the context of Chinese culture. This article examines emotions through three key aspects: basic concepts, performance analysis, and intentional management. Understanding the basic concepts of emotions is essential. In Chinese culture, emotions are seen as complex experiences that influence individual behavior and social interactions. The seven emotions and six desires highlight the cultural significance of emotions in shaping human experience and communal harmony. Next, emotion performance analysis explores how emotions manifest in different situations. Traditional Chinese philosophy emphasizes the connection between emotions and moral decisions, underscoring the importance of emotional expression for balance and harmony. By analyzing normal stress responses and their variations, individuals can better understand their emotional patterns and triggers, affecting their relationships and decision-making. Lastly, intentional emotion management involves actively shaping emotional responses to achieve desired outcomes. Techniques like mindfulness and reflection can cultivate emotional awareness and control. This holistic approach enables individuals to navigate challenges more effectively, fostering resilience and well-being, ultimately leading to personal growth and enriched interpersonal relationships. By understanding, analyzing, and managing emotions, one can create a more harmonious and fulfilling life. The article establishes an inner clue of temperament education in the conclusion part to make it more vivid and comprehensive. The limitation of the article is much more theoretical than experimental. That’s the future extension of the research expected.

Ticket revenues are crucial for the financial success of sports teams. To maximize these revenues, teams continuously explore effective ticket promotional strategies. One such strategy includes partial season plans, which mirror bundle offers common across various industries. Another widespread promotional strategy across industries is offering discounted credit (i.e., store credit purchased at a lower price than its face value). However, its application in sports (e.g., providing a $500 credit for tickets at $450) remains limited. Therefore, this study explores critical questions such as: “How effective is offering discounted credit compared to partial season plans?” and “What factors influence ticket promotion preferences?” Consequently, the study employed a 2 × 2 × 2 experimental designs, considering three independent variables: promotion type (discounted credit vs. partial season plans), promotion flexibility (predefined vs. customizable), and the consumer’s distance to the venue (near vs. distant). Results indicated that partial season plans generated significantly higher perceived value and purchase intentions  while presenting lower perceived risks than discounted credit . Promotion flexibility did not significantly influence the three dependent variables , but the distance to the venue did . Both practical and theoretical implications of these findings are discussed.

This research investigates the safety status of water transport in Lake Towuti, South Sulawesi, employing the MICMAC and MACTOR methodologies to discern the factors that affect navigation safety and the interactions among the relevant stakeholders. The MICMAC analysis reveals that the effectiveness of sustainable transportation in Lake Towuti is significantly dependent on technical elements such as vessel certification, maintenance practices, and safety monitoring, alongside robust relationships among key entities like The South Sulawesi Class II Land Transportation Management Center (BPTD), The East Luwu District Transportation Office (Dishub), and the Timampu Port Service Unit (Satpel). When implementing the MICMAC-MACTOR model, it is essential to consider the technical implications of the proposed recommendations from the perspectives of social justice, environmental sustainability, and economic feasibility. The outcomes derived from the MICMAC and MACTOR assessments in Lake Towuti provide critical insights that can be utilized in other lakes across Indonesia, especially those that exhibit deficiencies in safety measures and adherence to inland water transport safety regulations.

Exploring the development path of badminton with Chinese characteristics is a key area in advancing the reform of China’s sports system and a crucial theoretical support for transitioning from a sports power to a sports powerhouse. This article reviews the overall situation of the development of badminton in China since the founding of the People’s Republic of China, and based on this, puts forward the basic connotations and directions of the development path of badminton with Chinese characteristics. It discusses the opportunities and challenges faced in aspects such as badminton management system and mechanism, accelerated optimization and upgrading of sports industry and brands, substantial breakthroughs in competitive level, cultivation of reserve talents, and diversified development of sports culture. It explores the future direction of the development path of badminton with Chinese characteristics from five aspects: system, management, talent, industry, and culture.

This article evaluates the Didactic Strategies for Teaching Mathematics (DSTM) program, designed to enhance the teaching of mathematical content in primary and secondary education in a hybrid modality. In alignment with SENACYT’s Gender-STEM-2040 Policy, which emphasizes gender equality as a foundational principle of education, this study aims to assess whether initial teacher training aligns with this policy through the use of mathematical strategies promoting gender equality. A descriptive-correlational approach was applied to a sample of 64 educators, selected based on their responses during the training, with the goal of improving teaching and data collection methodologies. Findings indicate that, although most teachers actively engage in training, an androcentric approach persists, with sexist language and a curriculum that renders girls invisible, hindering the fulfillment of the National Gender Equality Policy in Science, Technology, and Innovation of Panama (Gender-STEM Policy 2040). Additionally, through a serendipitous finding, a significant gap in student activity levels, especially in secondary school, was discovered. While in primary school, activity levels were similar between genders, a decline in active participation among girls in secondary school was observed. This discovery, not initially contemplated in the study’s objectives, provides valuable insights into gender differences in active participation, particularly in higher educational stages. The serendipity suggests the need for further exploration of social, environmental, and family factors that may influence this decrease in girls’ active participation. The article concludes with a preliminary diagnosis and a call to deepen gender equality training and the effective implementation of coeducation in Panama’s educational system.

The failure to achieve sustainable development in South Africa is due to the inability to deliver quality and adequate health services that would lead to the achievement of sustainable human security. As we live in an era of digital technology, Machine Learning (ML) has not yet permeated the healthcare sector in South Africa. Its effects on promoting quality health services for sustainable human security have not attracted much academic attention in South Africa and across the African continent. Hospitals still face numerous challenges that have hindered achieving adequate health services. For this reason, the healthcare sector in South Africa continues to suffer from numerous challenges, including inadequate finances, poor governance, long waiting times, shortages of medical staff, and poor medical record keeping. These challenges have affected health services provision and thus pose threats to the achievement of sustainable security. The paper found that ML technology enables adequate health services that alleviate disease burden and thus lead to sustainable human security. It speeds up medical treatment, enabling medical workers to deliver health services accurately and reducing the financial cost of medical treatments. ML assists in the prevention of pandemic outbreaks and as well as monitoring their potential epidemic outbreaks. It protects and keeps medical records and makes them readily available when patients visit any hospital. The paper used a qualitative research design that used an exploratory approach to collect and analyse data.