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"Abstract The core concept of drama education is the integration and int- ernalization of experience. In the empirical content of the improvis- ational drama, it lays a profound foreshadowing for future life prac- tice through different physical behaviors and facial perceptions. Through drama education, children with autism spectrum disorder can be emotionally adjusted. Emotional and social behavior is essent- ial for children with autism spectrum disorders. The use of improvis- ational drama to study children's emotions with autism spectrum diso- rders is not yet found in Macau. Therefore, this study aimed to inve- stigate the intervention strategies for children with autism spectrum disorders through improvisational drama to fill the research gap. A case study of emotional interventions as a ten-day improvisa- tional drama with an autism spectrum disorder in Macau. The following findings were obtained: 1. The study found that improvisational drama was used to address the theoretica deficits of the mind of children with autism spectrum disorders. 2. Improvisational drama supports the understanding of self-emotions in children with autism spectrum disorder with positive behavior. 3. Shared attention cultivated by improvisational drama can develop social interaction behavior. 4. The improvisational drama techniques can deal with children with autism spectrum disorder and peer conflict. Based on these results, the researcher identified three main is sues in the use of improvisational drama to deal with the emotions of VII children with autism spectrum disorders in Macau: 1. The relative lack of knowledge on the use of improvisational drama as a strategy to support children with autism in Macau. 2. The number of hours and sessions of the Macao training course is too small to be satisfied with frontline teachers' use of improvi- sational drama to provide quality teaching to children with an au- tism spectrum disorder. 3. Failing to understand the emotional needs of children with autism frontline teachers must practice improvisational drama teaching, failing to understand it’s core subjects in depth. Therefore, researchers on the emotions of children with an aut- ism spectrum disorder in improvisational drama. The proposal is divi- ded into three main areas, which are proposed to the government, sch- ools, and teachers: I. Suggestions to the government: 1. Improve the special education policy 2. Increase the number of training courses II. Suggestions for schools: 1. Increase the teaching content of the curriculum for children wi- th autism spectrum disorders III. Suggestions for teachers: 1. Children should lead the curriculum with autism spectrum disord- ers. 2. The curriculum should enhance the cooperation between children VIII with autism spectrum disorders and their peers. This study has identified feasible intervention strategies to he- lp further improve the Macau government's special education policy. The study also aims to help schools to adapt their teaching cont- ents better to suit the needs of children with autism spectrum disord ers. Finally, the study aims to provide teachers with a better unders- tanding of the characteristics and social-emotional behaviors of ch- ildren with autism spectrum disorders to help each other practice education effectively. Only one child with autism spectrum disorder were studied in Mac- ao. As a result, this study failed to represent all children in Macao in practicing emotional interventions in improvisational drama. This study aimed to promote -improvisational comedy strategies in Macau to help children with aut-ism spectrum disorders to understand and expre ss their emotions appr-opriately. It is also expected that the Macau SAR government will re-cognize the importance of drama education for children with autism spectrum disorders and develop policies and ada- pt the content of the curriculum framework to enable the effective i- mplementation of drama education in teaching emotions to children wi- th autism spectrum disorders."

How can we provide more sports areas in a high-density urban environment? Nowadays, most cities in Asia are experiencing high-speed development (Satterthwaite, 2023). There is an intensely increasing demand for land that is confronted with an insufficient supply of space, resulting in a shortfall of suitable construction space to meet the rising demand. Over the past few decades, different countries and cities have created various solutions for this issue. This shortage of space has been resolved in various ways, for example: through land reclamation, renovation, and architectural design (Grydehoj, 2015). This dissertation seeks to analyse and discuss how architects have used design to expand spaces within the limited available areas for public spaces like sports facilities (Carmona, 2021). Understanding how sports modalities influence architecture and space utilisation for sports activities will also be covered. Additionally, it will examine case studies on how to better implement the program in a limited urban area with regards to the typology connections of sports facilities and their interaction with users. Finally, this dissertation is practice-based and oriented, the case study and project development will focus on a sports facility in the high-density populated Taipa Centre (Macau). This specific project solution will address the real problem for the city, and research will conclude by analysing the constraints of sports architecture in high-density areas, providing design solutions for these situations, and thereby contributing to the improvement of public spaces in a city

This study identifies Portuguese residents’ behavioural intention towards Chinese electric vehicles from the perspective of the Country-of-Origin Effect (COE) and uses the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) as a guide to design interview questions. According to the existing literature, UTAUT-2, a comprehensive technology acceptance model, has not been used to assess the Portuguese electric vehicle market, and no relevant research has been found to apply the method of combining the COE into the UTAUT-2 framework. The purpose of this study is exploratory in nature, it uses qualitative methods to identify the behavioural intention of Portuguese residents towards the acceptance of Chinese electric vehicles. Data from 16 Portuguese residents was collected through semi-structured interviews and analyzed with qualitative methodology. The study found that factors such as performance expectations, environmental concerns, effort expectations, hedonic motivation, and social influence have a positive impact on Portuguese residents' purchase of electric vehicles, while price value, habits, and convenience conditions have a neutral or negative impact. Regarding COE, apart from social influence, it has no impact on other factors. To increase the popularity and sales of Chinese electric vehicles in Portugal, it is recommended that advertising and marketing efforts focus on price, charging services, after-sales service, and design

Nowadays, the increasing number of medical diagnostic data and clinical data provide more complementary references for doctors to make diagnosis to patients. For example, with medical data, such as electrocardiography (ECG), machine learning algorithms can be used to identify and diagnose heart disease to reduce the workload of doctors. However, ECG data is always exposed to various kinds of noise and interference in reality, and medical diagnostics only based on one-dimensional ECG data is not trustable enough. By extracting new features from other types of medical data, we can implement enhanced recognition methods, called multimodal learning. Multimodal learning helps models to process data from a range of different sources, eliminate the requirement for training each single learning modality, and improve the robustness of models with the diversity of data. Growing number of articles in recent years have been devoted to investigating how to extract data from different sources and build accurate multimodal machine learning models, or deep learning models for medical diagnostics. This paper reviews and summarizes several recent papers that dealing with multimodal machine learning in disease detection, and identify topics for future research.

Medical classification is affected by many factors, and the traditional medical classification is usually restricted by factors such as too long text, numerous categories and so on. In order to solve these problems, this paper uses word vector and word vector to mine the text deeply, considering the problem of scattered key features of medical text, introducing long-term and short-term memory network to effectively retain the features of historical information in long text sequence, and using the structure of CNN to extract local features of text, through attention mechanism to obtain key features, considering the problems of many diseases, by using hierarchical classification. To stratify the disease. Combined with the above ideas, a deep DLCF model suitable for long text and multi-classification is designed. This model has obvious advantages in CMDD and other datasets. Compared with the baseline models, this model is superior to the baseline model in accuracy, recall and other indicators.

Macau, Macau Business, MAG, MB, MB Featured, Opinion | When the casino resorts applied for the first licenses to operate in Macau, one of the commitments that they made was to serve the Macau society. Many of them have honoured those commitments outstandingly well, and continue to do so, and in ways too many and diverse to list here.

Molecular Chinese Medicine (MCM) is a recent method of manufacturing and dosing prescriptions that brings several advantages when compared with Traditional Chinese Medicine (TCM). For instance, MCM is highly dissoluble, tastes better than the usual decoction, and the active principles are easily absorbed. Also, the manufacturing process is subject to better quality control. In spite of these benefits, consumers' intentions remain unclear due to the novelty of this technique. Therefore, an assessment of individuals' perceptions is relevant since molecular medicine is redefining how scientists understand and treat diseases, and it can be considered a medical innovation. To fill the research gap, the Value-based Acceptance Model (VAM) (Kim et al., 2007) is used to assess the individuals' perceptions of value and intention to accept MCM. Data from a sample of Macau residents are analyzed by means of structural equation modeling (SmartPLS). The results support the use of the model in our context, thus extending the applicability of the VAM to other settings. Except for 'technicality', the constructs of 'usefulness', 'enjoyment', and 'perceived fee' had a significant impact on the overall 'perceived value' of MCM, and in turn on the behavioral intention to use the innovation. To facilitate the diffusion of this dosage method in the marketplace, it is suggested that communications strategies consider the proposed sources of value when promoting MCM. To further explain the adoption process, it is recommended to include additional factors that may affect consumers' intention to adopt the innovation and extend the analysis to the actual usage.

José Manuel Simões

Social workers’ work engagement and burnout were tested in relation to (a) personal variable, i.e., emotional intelligence; (b) organizational variables, i.e., work satisfaction and affective commitment. Regressions revealed emotional intelligence - controlling self – negatively predicted depersonalization and reduced personal accomplishment and positively predicted three facets of work engagement. Emotional intelligence - understanding others – was a negative predictor of reduced personal accomplishment. In addition, work satisfaction negatively predicted three components of burnout and positively predicted emotional work engagement. Affective commitment was a positive predictor of three facets of work engagement and negatively predicted reduced personal accomplishment. Implications for management are discussed.

"Jornalismo e Qualidade no Mundo de Expressão Portuguesa"propõe uma análise sobre a paisagem do jornalismo nos oitopaíses de língua oficial portuguesa - Portugal, Angola, Brasil, Cabo Verde, Moçambique, Guiné-Bissau, São Tomé e Príncipee Timor-Leste - e na Região Autónoma Especial de Macau. Olivro é uma reflexão sobre a legislação, o plano jurídico-constitucionalque enquadra os media no espaço lusófono, os contextosde mercado, as especificidades inscritas em fatoreshistóricos e económicos, em percursos políticos, bem comosobre as relações entre os media e os jornalistas e estes e opoder regulador do Estado.Os trabalhos reunidos nesta obra escrita por autores que partilhamentre si um dos idiomas mais falados do planeta, mostram as diferentes realidades do jornalismo no espaço dalíngua portuguesa, nomeadamente as suas redes de conhecimento, de empenho na promoção da qualidade da informação, de intercompreensão entre povos e culturas, de novas einovadoras formas de parcerias sociais com vista à partilha e àconstrução de mundividências.

Investor sentiment and emotions have a strong impact on financial markets. In recent years there has been increasing interest in analyzing the sentiment of investors for stock price prediction using machine learning. Existing prediction models mostly depend on the analysis of trading data and company profit. few prediction theories have been built based on individual investors' sentiments. The fundamental reason is the difficulty to measure individual investors' sentiment.

Citizens' trust in eGovernment is crucial for the successful implementation of new electronic services. This relationship in the Greater Bay Area (GBA) plays an essential role since the Government services rely on mobile mini-programs This study investigates the trust towards government service mini-programs in WeChat and Alipay. A user feedback questionnaire was designed, and a total of 609 valid samples were collected from Shenzhen, Guangzhou, Hong Kong, and Macau. The findings imply that competence, integrity, and benevolence are the key components of trust in e-government (TIEG). TIEG positively influences perceived value (PV), which positively affects citizens' Intention to adopt service mini-programs. PV significantly mediates the relationship between TIEG and Intention. Although TIEG does not effectively reduce perceived risk (PR), risk issues cannot be ignored in the adoption process. Finally, this article proposes relevant implications and suggestions for the GBA government agents and policy makers.

Technology research offers several theories and models to explain how individuals accept and use technology innovations. While these often focus on the technical aspects of the innovation, they tend to downplay the affective component of technology. Recognizing that the adoption of technology is also determined by what it means and represents to the users, this paper aims to fill the gap in the literature by studying the effects of social influence and image on the behavioral intention to adopt a technology. We used structural equation modeling (SmartPLS) to analyze data collected from 238 self-administrated surveys regarding the behavioral intention of Macau residents to use battery electric vehicles. The result showed significant relationships among the variables in the model and depicted the construct of image as a strong factor in the adoption decision. Our findings suggest that social influence may not exhibit substantial impact in the case of innovations in their initial phase and, more importantly, the construct of image could be included as a key predictor of behavioral intention in technology acceptance models, particularly in contexts where the choices that consumers make are public, and therefore subject to judgments from the members of the community.

The Guangdong-Hong Kong-Macau Greater Bay Area (GBA) was first conceptualized in 2016, which aimed to facilitate trade and finance liberalization among the three regions. The trade and financial environment of the GBA is unique. Due to the “one country, two systems” principle, Mainland China, Hong Kong and Macau are considered to be trading partners bounded by WTO rule, but bilateral free trade agreements have been signed between Mainland China and Hong Kong, and between Mainland China and Macau, but not between Hong Kong and Macau. Furthermore, each of the three regions circulates a local currency subject to its own exchange rate policy, with Hong Kong Dollar and Macau Pataca currently pegged to the US Dollar. These affect the mobility of trade and capital flows in the area. Hence, this paper applies the widely-used price-based approach due to Cheung et al. [5] to analyze the degrees of real and financial integration in the GBA based on interest rates, exchange rates, and price indexes data from January, 2016 to November, 2021. The real interest differential (RID), uncovered interest differential (UID) and the deviation from purchasing power parity (PPD) between each regional pair have means that are statistically and economically close to zero, implying high real and financial integration in the GBA. The unit root tests for stationarity also confirm that the time series are mean-reverting, so the economic integration in the GBA in the long run is foreseeable.