Data literacy is an important skill for students in studying physics. With data literacy, students have the ability to collect, analyze and interpret data as well as construct data-based scientific explanations and reasoning. However, students’ ability to data literacy is still not satisfactory. On the other hand, various learning strategies still provide opportunities to design learning models that are more directed at data literacy skills. For this reason, in this research a physics learning model was developed that is oriented towards physics objects represented in various modes and is called the Object-Oriented Physics Learning (OOPL) Model. The learning model was developed through several stages and based on the results of the validity analysis; it shows that the OOPL model is included in the valid category. The OOPL model fulfils the elements of content validity and construct validity. The validity of the OOPL model and its implications are discussed in detail in the discussion.

This study investigates the intricate relationship between a nation’s GDP growth rate and three key variables: the number of granted patents, research and development (R&D) expenditure, and education expenditure. The purpose of the research is to discern the impact of these factors on GDP growth rates. Drawing on theoretical frameworks, including Dynamic Ordinary Least Squares (DOLS), Fully Modified Ordinary Least Squares (FMOLS), and Canonical Correlation Regression (CCR) techniques, the paper employs a robust methodological approach to unveil insights into the dynamics of economic growth. Contrary to conventional assumptions, the results reveal a negative correlation between R&D expenditure and GDP growth rate. In contrast, the number of patents granted and education expenditure shows a positively significant effect on the GDP growth rate, underscoring the pivotal roles of intellectual property creation and education investment in fostering economic growth. The conclusion emphasizes the importance of a nuanced understanding of these relationships for policymakers. The research’s implications highlight the need for balanced investments in innovation and education. The originality and value of this study lie in its unique findings challenging established beliefs about the impact of R&D expenditure on economic growth.

Background: The hotel industry is labor-intensive. Both technical and behavioral aspects of quality are considered to ensure service quality and customer satisfaction among the internal and external customers as a whole, creating a competitive advantage. Significance: Recruiting and selecting the right people is paramount to the success of the hospitality industry in the sense that the best delivery will be enhanced if proper procedures are used and the right people are selected who can handle their tasks to the best satisfaction of the customer. Method: The goal of the research was to explore the recruiting and selection practices/methods used in the hotel industry, as well as their employability. The study aims to explore the differences in the mix of recruitment and selection methods implemented in 4- and 5-star and different category hotels. As an enterprise, HRD comprises change, learning, and performance. Results: Based on the findings, it is imperative to invest in human resources as a capital asset to boost staff entities in terms of knowledge and capabilities, thereby contributing to better service quality and enhanced customer satisfaction. This would help fulfil the organizations’ objectives. Conclusion: The study concludes that the selected candidates are being analyzed properly and effectively. It is very important to note that the results of this study cannot be generalized as it deals with a restricted clientele, and this could only add on variables and instances to form a common standpoint for the other hotel managers.

Since entering the new era, in the face of the changing international situation, China is faced with both development opportunities and challenges. How to cultivate English talents to meet the needs of national development and national rejuvenation in the new era has become an urgent problem to be solved in English education in China. The application of applied linguistics to English teaching in colleges and universities plays a positive role in promoting the innovation of English teaching concept and teaching mode in colleges and universities and the improvement of teaching efficiency and quality. This requires college English teachers to master the relevant concepts and connotations of applied linguistics, and clarify the content scope of applied linguistics and the value of practical application. This paper will focus on the analysis of the current situation of English teaching in colleges and universities, and on the basis of the concept and scope of applied linguistics, put forward some practical application strategies, hoping to provide a reference for the innovation of teaching mode and teaching methods of English curriculum in colleges and universities.

In casting industries, issue of spent molding sand disposal is the origin of molding sand reclamation. Among from all reclamation concepts the thermal reclamation method is better for no-bake sand system. This study focuses on the evaluation of sand quality by considering physical and chemical characteristics of molding sand, which is reclaimed by thermal reclamation method. Electric fuel and fluidization mechanism is used in thermal reclamation system. Effect of reclamation temperature, soaking period and sand quantity on % reclamability, grain size, ADV and on LOI is investigated. The average grain size, low ADV, low LOI and acceptable % reclamability of thermally reclaimed sand are studied.