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In the age of the information society, the prominence of internet communication and social media has meant that the role of face-to-face encounters in public life has been diminished. This trend has been exacerbated by public health concerns in the aftermath of the COVID pandemic. The social role of architecture and its contribution to the sustainability of interpersonal relationships has become a significant issue for architects. As a place to accommodate sporting activities and social space in the community, sports centers play an important role in promoting social cohesion and interaction. This is the focal topic of the present thesis. The principal tasks of this thesis are as follows: (1) This thesis collects and studies relevant literature on sports centers as social spaces. A special emphasis is placed on discussions of social spaces. The intention is to articulate design characteristics of community sports centers that merit further exploration. (2) This thesis selects three representative sports facilities as case studies and considers how they promote the formation of social bonds and interactions. The thesis offers a review of design ideas, planning strategies and specific methods of implementation. (3) This thesis takes the design project for a sports center in New District A in Macau as an example, and puts forward a design strategy of ""vertical intensification + shared application"". This strategy aims to promote the integration of the sports center with the urban environment, while creating a flexible public space that can adapt to the needs of spontaneous and social activities. The intention is to make the sports center a place that promotes community interaction and connectivity. Overall, this thesis argues that community sports centers can become important places to promote social interaction through well-designed architectural space. Specific design factors and strategies explored in this thesis provide useful points of reference for architects. Through on-going processes of optimization and innovation, sports centers can better serve the community of Macau

Against the backdrop of escalating global climate change and China being the world’s largest carbon emitter, this study explores the impact of the carbon trading system on green finance in Chinese power sector. This study uses a quantitative research method, namely a difference-in-differences (DID) model, to investigate power companies that participated or had the potential to participate in carbon trading in 2019 and 2022. The key finding is that companies that participated in carbon trading had significantly higher green finance than those that did not participate, indicating that the carbon trading system has a positive impact on promoting green finance. However, the impact does not significantly intensify after the national carbon trading scheme was implemented in mid-2021. The green finance of listed companies and state-owned enterprises were less affected by carbon trading, possibly because these companies rely on alternative financing options and government financial support. Due to the findings, this study recommends that policy makers should strengthen the promotion of the carbon trading scheme and provide more support for non-listed companies and non-state-owned enterprises. At the same time, the companies should actively participate in the carbon market to take advantage of the industrial policies to enhance green finance, and ultimately promote environmental protection and their own sustainable development

As technology evolves swiftly and consumers call for more customization, the study of interactive fashion design is increasingly emerging as a key topic within the fashion industry. The goal of this research is to investigate merging intelligent technology with apparel design, realizing functional enlargements and enriching the user experience by employing interactive design. Initially, this document examines key theories and ongoing studies in interaction design, intelligent textiles, and wearable tech, pinpointing the current research voids and difficulties. This section then presents a range of methodologies used in the study, encompassing literature review, case analysis, and interviews with experts, to thoroughly analyze and assess all facets of interactive apparel design. This document suggests a methodical design of interactive clothing, outlining the entire process from initial design to the creation of prototypes. The practicality and efficiency of the design methodology are proven by creating prototypes and conducting trials. Findings from the experiments indicate that interactive attire offers substantial benefits in terms of functionality, comfort, and user experience. The research offers both theoretical backing and pragmatic advice for designing interactive attire, while also highlighting paths for upcoming advancements in fashion technology. In conclusion, the document examines the shortcomings of the existing research and potential research paths, aiming to offer valuable guidance for advancing the development of clothing styling and wearable tech

Research suggested that students struggle because of lacking understanding of basic concepts, formulas, and procedures in algebra, leading to inefficiency in logical thinking and problem-solving skills. (Julius et al., 2018; Jupri et al., 2021). Schemabased instruction (SBI) aims to enhance learning and problem-solving by activating and building upon students' prior knowledge structures, known as schemas (Powell et al., 2008). The common schemas include the total, difference, change, equal groups, comparison, ratios/proportions (Hughes & Cuevas, 2020). SBI has been found to be effective, particularly for students who struggle with mathematics word problems (Marshall, 2012; Hughes & Cuevas, 2020). Research related to SBI has not yet been conducted in Macau region. An early pre-test was administered by the researcher, thirty-one students were asked to solve 10 questions about percentages. The results showed that some students lacked the fundamental knowledge needed to investigate and explore the abstract ideas, patterns, and relationships in percentages problems. A daily schema-based instruction (SBI) as a part of an experimental intervention study was implemented, pre-test and post-tests were administered to investigate the effect of SBI on students' mathematical procedural fluency skills. Thirty-one students from the researcher’s class were invited to engaged in 40 minutes of daily SBI lessons for two weeks, 12 lessons in total. During each of the twelve 40-minute session, students practiced schemas to develop procedural fluency competencies, such as solid number sense and arithmetic operations, to solve percentages problems. Within-group descriptive and inferential statistics were adopted. The results indicated that after SBI, students can solve mathematical problems with greater procedural fluency. This research shares implications and provides suggestions regarding SBI and procedural fluency

This paper selects Noble Fitness Club in Zhongshan as a research object, adopting a qualitative method and conducting in-depth interviews with its members to determine what factors affect customers’ choice of a fitness club. This study is important because it enriches the theoretical guidance framework of the fitness market. Moreover, it helps partitioners from the fitness industry realize what factors directly impact customer satisfaction, providing recommendations for them to foster sustainable development. In-depth interviewing is the primary method for data collection. And, the thematic content analysis (TCA) approach is used to analyze the data derived from interview transcripts. Existing research identified eight factors affecting customers’ choice of a fitness club. However, the author discovered three additional factors that also significantly influenced their selection of a fitness club: geographical location, group courses, and fitness atmosphere. The fitness industry has an issue of product homogenization. Attracting more customers while retaining existing members is a challenge many fitness clubs face nowadays. Therefore, operators should avoid engaging in a price war, reducing the profit margin to attract more customers at the expense of sacrificing service quality. Instead, they should prioritize customers’ practical needs and make the best effort to meet their expectations

Since 2006, the Government of Macau has been promoting inclusive education. This has now been ongoing for seventeen years. As education policies gradually improve, the focus has shifted from students in inclusive settings to the realm of teachers. With an increasing number of inclusive students, the corresponding work pressures faced by teachers has also increased. The aims of this study are to better understand the work-related stress, sources of stress, and subsequent coping strategies used by mainstreamteachers within the inclusive education sector of Macau. This study used qualitative research methods, interviewing twelve frontline teachers from eight different private primary educational institutions. Eight of these teachers work in schools practicing inclusive education, while four were employed in regular schools. However, all twelve participating teachers had experience in teaching inclusive students but also lacked any specialized background in special education. Following and obtaining and meticulously analyzing interview data, supported by relevant literature, the study findings are presented as follows: 1. Views and Attitudes of Regular Teachers in Inclusive Schools towards Inclusive Education The interviewed teachers support the concept of inclusive education but were concerned about student behaviors and their learning challenges. These concerns included inappropriate behaviors, learning disabilities, and the teachers’ own pedagogical demands. In managing student behaviors, teachers found it difficult to handle the emotional control of inclusive students, leading to disruptions in class. Regarding learning, teachers had to use additional and extra time on after-class tutoring, increasing their workload. Teaching inclusive students also complicated the instruction, requiring teachers to undergo additional training and preparation. 2. Work-Related Stress and its Sources among Regular Teachers within Inclusive Schools The participating teachers rated their stress-resilience as not low, but rather they experienced medium to high levels of work-related stress, mainly due to long working hours and extensive workloads. The study identifies four main sources of stress: （i） The nature of work, including extensive teaching and non-teaching tasks, including heavy class management, or multiple roles. （ii） Social relationships, where regular teachers lacked an understanding of resource teachers’ roles, leading to ineffective communication and an underutilization of resource teachers in schools. （iii） Organizational structure, where schools involved in inclusive education required improvements in facilities and teaching environments, particularly in the safety of sports areas. Additionally, not all mainstream teachers had access to inclusive education resources, and the instructional adjustments for inclusive students did not fully meet their needs. （iv） Social aspects, where the public did not fully understand the concepts of inclusive education, and expectations on teachers were excessively high. Furthermore, teachers were dissatisfied with their salaries and benefits, which they felt were not commensurate with their heavy workload. The study also found that female teachers faced additional stress from both work and family responsibilities, as they also bear the burden of caring for and educating their own children at home. 3. Responses and Coping Methods of Regular Teachers in Inclusive Schools to Work-Related Stress The study analyzed the negative impacts of work-related stress on teachers’ physical health, psychological state, and behavior. The impacts included poor sleep quality or insomnia and emotional states of worry and anxiety. In response to stress, teachers engaged in communication and social activities, exercise and rest, and dietary adjustments. However, these stress-relief methods did not effectively address the root causes of the stress, making long-term stress management a crucial issue for teachers. Based on the findings regarding stress perceptions, sources, and coping methods, the researcher proposes recommendations for teachers, educational institutions, and relevant government departments, with an aim to support and aid future policymaking in the area of inclusive education in Macau

The Revenue Management (RM) problem in airlines for a fixed capacity, single resource and two classes has been solved before by using a standard formalism. In this paper we propose a model for RM by using the semi-classical approach of the Quantum Harmonic Oscillator. We then extend the model to include external factors affecting the people’s decisions, particularly those where collective decisions emerge.

Battery electric vehicles (BEVs) are living up to their claims as consumers choose them more frequently. The increasing demand for sustainable vehicles translates into the global need for specific components, materials, and infrastructures and drives the regulatory frameworks in each country. While BEVs offer environmental benefits and global business opportunities, the technology has not yet gained mainstream acceptance. Thus, this work aims to investigate the characteristics of BEV users and their role in the diffusion of products to larger segments, as this may vary from country to country. For this purpose, a survey based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) (Venkatesh et al., 2012) framework and structural equation modeling (SmartPLS) was adopted. The results indicated that, except for the constructs of effort expectancy (EE) and social influence (SI), the predictors in the model performed well in this context. Current users are satisfied with their vehicles and are supportive of BEVs in the future. The analysis also revealed that in addition to the availability of financial resources, early adopters are attracted by new technologies in a way that leads them to make decisions outside of the traditional influence of the other members of society. It is suggested to leverage the perceived benefits of status, differentiation, or uniqueness motives, to appeal to those seeking to appear trendy and tech-savvy in society. Companies and policymakers should acknowledge the peculiarities of early customers in their communication strategies to reach a wider audience around the globe and encourage the adoption of BEV technology.

Objective: This study highlights the potential of an Electrocardiogram (ECG) as a powerful tool for early diagnosis of COVID-19 in critically ill patients with limited access to CT–Scan rooms. Methods: In this investigation, 3 categories of patient status were considered: Low, Moderate, and Severe. For each patient, 2 different body positions have been used to collect 2 ECG signals. Then, from each collected signal, 10 non-linear features (Energy, Approximate Entropy, Logarithmic Entropy, Shannon Entropy, Hurst Exponent, Lyapunov Exponent, Higuchi Fractal Dimension, Katz Fractal Dimension, Correlation Dimension and Detrended Fluctuation Analysis) were extracted every 1s ECG time-series length to serve as entries for 19 Machine learning classifiers within a leave-one-out cross-validation procedure. Four different classification scenarios were tested: Low vs. Moderate, Low vs. Severe, Moderate vs. Severe and one Multi-class comparison (All vs. All). Results: The classification report results were: (1) Low vs. Moderate - 100% of Accuracy and 100% of F1–Score; (2) Low vs. Severe - Accuracy of 91.67% and an F1–Score of 94.92%; (3) Moderate vs. Severe - Accuracy of 94.12% and an F1–Score of 96.43%; and (4) All vs All - 78.57% of Accuracy and 84.75% of F1–Score. Conclusion: The results indicate that the applied methodology could be considered a good tool for distinguishing COVID-19’s different severity stages using ECG signals. Significance: The findings highlight the potential of ECG as a fast and effective tool for COVID-19 examination. In comparison to previous studies using the same database, this study shows a 7.57% improvement in diagnostic accuracy for the All vs All comparison.

Critical thinking (CT), as a form of higher-order thinking, is intended to help individuals form reasonable reflection and judgment to deal with increasingly severe employment situations. As the primary workforce in the labor market, undergraduates must possess a strong critical thinking disposition (CTD) to make better use of CT. Despite extensive research on components of CTD from the perspective of educational practices, there is limited emphasis on investigating the components and their relationships of CTD in the labor market and the impact of gender differences. Therefore, this study presented an analysis of 1535 Chinese undergraduates (Mage = 20.89; SD = 1.43) using the Employer-Employee-Supported Critical Thinking Disposition Inventory (2ES-CTDI), aiming to explore the CTD that undergraduates should possess before entering the labor market. The relationships among the components were examined using SmartPLS4.0 in conjunction with Partial Least Squares Structural Equation Modeling (PLS-SEM). Additionally, a multigroup analysis (PLS-MGA) with a measurement invariance (MI) test was conducted to validate the moderating effects of gender. The findings indicate that (a) self-efficacy has a significant negative effect on habitual truth-digging, and boys are more affected than girls, instant judgment plays a competitive partial mediating role in this relationship; (b) self-efficacy has a significant positive effect on instant judgment, and boys are more likely to make instant judgments than girls; (c) instant judgment significantly positively affects habitual truth-digging. These findings highlight the dynamic equilibrium among the internal components of CTD in the labor market and call for increased attention from educators to the importance of gender differences in the cultivation process.

Integrating financial technologies with green initiatives is critical to the sustainable development agenda. This is particularly true for newly developed smart cities like Tongzhou, the sub-city center of Beijing. To assess the adoption of green fintech in Tongzhou, this paper extends the EnergyAugmented Technology Acceptance Model (EA-TAM) to incorporate two green factors – environmental awareness and green knowledge. This paper applies structural equation modeling techniques to analyze data from 403 respondents who live, work, or study in Tongzhou and finds allhypothesized constructs significant. Since green knowledge is significant to the adoption of green fintech, this paper further divides the sample into a high-education group (162 respondents with university-or-above degrees) and a low-education group (251 respondents with post-secondary-orlower degrees) to evaluate the impact of education. All the hypothesized factors are significant to the high-education group,but environmental awareness and perceived usefulness are insignificant to the low- education group. Hence, the results provide evidence that people in the newly developed smart city adopt green fintech due to their environmental sensitivity. The adoption of green fintech is more environmentally sensitive for people with high education levels.

Under Macau Arbitration Law (MAL, art 64.1), an award shall be made in writing and shall be signed by the arbitrator or arbitrators. Furthermore, the law provides that in case of arbitral proceedings with more than one arbitrator, the signatures of the majority of all members of the arbitral tribunal shall suffice, provided that the reason for any omitted signature is stated (MAL, art 64.2).

Intended as an economic and development hub, the Hengqin Cooperation Zone aims to foster collaboration and integration between mainland China, Hong Kong, and Macao, serving as a platform for economic development and innovation among the three regions. The zone's development has increased demand for financial services, often offered through fintech. There is, however, a lack of interoperability between the fintech services currently used in Macao and Hengqin. This may hinder Macao users' adoption of the technology. Thus, our research objective is to identify the factors determining Macao residents' adoption of fintech services in the area and provide insights for service providers, developers, and policymakers. A framework based on the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) was used for this purpose. The responses of 103 Macao residents provided evidence that ease of use significantly and positively impacts the usefulness of the technology. This in turn influences attitudes towards fintech usage. Subjective norms and perceived behavioral control positively impact fintech adoption intentions. The fintech industry and the governments of Macao and Hengqin can work on improving technology's ease of use and usefulness. They can also promote them to Macao users, and provide the resources required for better access to fintech in the zone

We demonstrate that black hole evaporation can be modeled as a process where one symmetry of the system is spontaneously broken continuously. We then identify three free parameters of the system. The sign of one of the free parameters governs whether the particles emitted by the black hole are fermions or bosons. The present model explains why the black hole evaporation process is so universal. Interestingly, this universality emerges naturally inside certain modifications of gravity.

After the Covid-19 Pandemic crisis in international economic relations it became evident that climate-smart aspects should be considered when re-establishing a new international trade order. International organizations have proclaimed that this momentum should be used to include climate-smart trade and investment provisions to enable sustainable development. It has been acknowledged that trade has an important role to play in the global response to climate change, providing economies with tools to draw on in their efforts to mitigate climate change and to adapt to its consequences. In this paper we focus the analysis on investigating the digital and sustainable component of trade facilitation measures applied in Western Balkans countries. To evaluate the importance of trade facilitation measures and their digital and sustainable components we apply standard gravity model with the data from UN Global Survey on digital and sustainable trade facilitation. The results show that trade facilitation measures are important for improving and increasing trade among the Western Balkans countries. Especially, measures connected to improving transparency procedures in trade and measures for alleviating trade formalities are most significant for increasing bilateral trade among Western Balkans countries. With a lower level of importance are the measures for improving cross-border paperless trade between these countries.