The purpose of this study is to find out how EFL instructors see their own 21st century skills and how these skills fit into their instructional strategies. The study adopted a qualitative research strategy, which goes beyond binary replies or pre-selected alternatives seen in quantitative methodologies to offer deeper insights into the motivations, mechanisms, and contextual information that underpin their perceptions [1]. Sixteen EFL teachers that taught English in different public and private preparatory schools participated in the study. Semi-structured in-person, online, and on-site interviews with the participating teachers were used to gather qualitative data and the obtained data were analyzed using the inductive coding procedure. The results have revealed that a variety of diverse teaching strategies, such as project-based learning, technological integration, and teamwork, must be used. By taking care of these issues, EFL teachers may design engaging classrooms that provide students the practices they need to succeed in the twenty-first century.

Artificial intelligence (AI) is increasingly used in the Internet of Things (IoT), and allows physical devices in the real world to connect with the Internet. Now, with the emergence of resource conservation, energy efficient utilization and social harmony, the rapid realization of the new Internet of Things combined with artificial intelligence technology also puts forward higher requirements for the sustainable design of modern interior environment designers. This paper mainly studies the distributed positioning algorithm based on relative position information in 3D environment, provides the latest algorithm model for the application of new communication and sensor technology in indoor environment design, and proposes sufficient conditions. The algorithm uses Laplace matrix to skillfully transform the position information in local coordinate system, and gives the process of calculating the weight of the directed edge. Then, the algorithm is simulated using Matlab. The simulation starts from whether there is noise, and verifies the robustness of the distributed algorithm by introducing noise interference. Simulation results show that the algorithm can achieve high positioning accuracy, and verify that noise interference has no effect on the effectiveness of the algorithm.

This research explores the international expansion of new products in Europe, seeking answers to the following questions: Do growth patterns vary significantly across European countries? If so, are these differences driven by cultural or economic factors? What strategic implications do these findings have for new product development?

The results reveal substantial variations in growth patterns across European countries, primarily attributed to economic affluence rather than cultural differences. This study examines the implications of these findings on: (a) selecting a concentrated or dispersed approach for introducing new products; (b) adopting a global or localized marketing strategy for new products; and (c) managing expectations for new product growth within organizations.

In the reform of teaching mode, the supply of large-scale teaching does not match the needs of students’ personalized training. In terms of teaching concept innovation, teaching practice can hardly catch up with the pace of theoretical innovation and the evolution of social market demand. Considering the increasingly common global communication, the digitalization and intelligence upgrade in the economic field, and the reform of the teaching paradigm driven by a new round of scientific and technological revolution, this paper discusses the necessity of reforming the teaching ideas and methods of flight attendant management from the perspective of cross-cultural communication competence. At the same time, this paper proposes that the actual teaching should be student-centered and market-oriented. Through the integration of virtual and reality, teachers and students can communicate with each other in both virtual and real dimensions. By accelerating the practice and reform of the teaching in this way, we can improve the cross-cultural communication ability of talents in the field of flight attendant management and cultivate high-quality talents more suitable for modern civil aviation business.

Location factors are crucial in understanding the spatial distribution of economic activities and the selection of locations by companies. Essentially, location factors represent the spatial manifestation of the production factors a company needs. One such factor, accommodation, has often been overlooked, despite its significant relevance to location choice. The type and size of premises can impact a company’s productivity. Therefore, accommodation should be viewed as a cost item that varies by location. This article examines the role of accommodation in the search for a new office location. Our findings indicate that it plays a crucial role in this decision-making process, especially for companies looking to rent office space. This has implications for location theory, which typically assumes that companies will construct their own buildings. However, firms seeking rental office space are dependent on the available supply in the real estate market. We conclude that location theory does not adequately address the search for office space through the rental market or the issue of supply and demand mismatches.

In recent years, with the proposal and implementation of my country’s carbon peaking and carbon neutrality strategic goals, my country has formed complete regulations on semi-mandatory disclosure of environmental information, and the disclosure rate of ESG reports is on a large scale. sexual growth. This article examines the effect of ESG performance on corporate financing costs based on the notion of information asymmetry and other theories. Next, using a sample of 1044 A-share listed businesses between 2016 and 2020, by sorting out and analyzing ESG report disclosure and rating data, the company’s ESG performance indicators are obtained, order to examine the connection between financing costs and ESG performance, an empirical model is built. The final half of this paper looks more closely at how company heterogeneity affects the relationship between ESG performance and costs. Furthermore, the moderating impacts of company size and media attention are explored in relation to the influence of ESG performance on corporate finance costs. The empirical findings demonstrate that business size has a moderating influence that is favourable.

Living space is included for discussion. Therefore, the research on living environment in this paper refers to the research on living space in urban high rise residential buildings, and in the context of the Above the Jiangxi puts forward the point of view: the so called design research on the suitability of aging in the urban living environment starts from the subjectivity of the elderly, follows the aging of the elderly, the influence of physiological factors, and the development of modern informatization. With the rapid development of deep learning, in the face of the age appropriateness of urban living spaces, we propose to use a graph neural network mechanism to treat each housing space as a graph node to construct a large scale graph network relationship structure. Thus, qualitative conclusions of the ageing suitability of living space environment are given. The realization shows that proposed method can give a good interpretable conclusion on the design problem of urban living space environment suitability for aging under the background of aging and help alleviate the lack of social resources caused by urban aging. And compared our model with the baseline model, the experimental results show that the prediction effect of the graph neural network model is significantly improved.

Postmodernism has provided significant insights into the cultural importance of shopping and retail environments in developed societies. However, most postmodern research has focused on shopping in public areas like malls and high streets. This paper argues that these analyses should be broadened to encompass home shopping and the wider context of remote shopping. Recommendations for future research are also outlined.

Financial time series data forecasting is difficult since the data typically exhibit complicated characteristics such high non-linearity and non-smoothness and a lot of noise. In order to do this, it is suggested in this paper that a CNN-GRU neural network be built by combining the serial dependencies of financial time series data and the local correlation features of various financial market time series data into a single model. In order to create a forecasting model based on the various frequencies and fluctuations of the financial time series data, the financial time series data are simultaneously decomposed and reconstructed into trend, low-frequency, and high-frequency terms using an integrated empirical modal decomposition and travel judgment method. The empirical findings demonstrate that the CNN-GRU neural network’s prediction accuracy is superior to that of the GRU neural network, which only takes into account serial dependencies, and the CNN, which only takes into account local correlation characteristics. Compared to the deep learning and machine learning methods for the direct prediction of the SSE index, the integrated prediction accuracy of the SSE index is higher.

This study investigates vertical equity in real estate assessment, emphasizing the importance of fair and consistent property valuations. Vertical equity ensures that properties of similar value are assessed comparably, regardless of their location or other attributes. By analyzing current assessment practices and case studies, this research identifies disparities and challenges that undermine fairness in real estate taxation. It explores how market dynamics, appraisal techniques, and regulatory frameworks influence assessment equity. The study highlights the necessity for reforms in assessment methodologies and oversight to promote greater fairness. It concludes with recommendations for policymakers and stakeholders to improve equity and transparency in property assessment systems.