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<jats:p>Personalized recommendation plays an important role in many online service fields. In the field of tourism recommendation, tourist attractions contain rich context and content information. These implicit features include not only text, but also images and videos. In order to make better use of these features, researchers usually introduce richer feature information or more efficient feature representation methods, but the unrestricted introduction of a large amount of feature information will undoubtedly reduce the performance of the recommendation system. We propose a novel heterogeneous multimodal representation learning method for tourism recommendation. The proposed model is based on two-tower architecture, in which the item tower handles multimodal latent features: Bidirectional Long Short-Term Memory (Bi-LSTM) is used to extract the text features of items, and an External Attention Transformer (EANet) is used to extract image features of items, and connect these feature vectors with item IDs to enrich the feature representation of items. In order to increase the expressiveness of the model, we introduce a deep fully connected stack layer to fuse multimodal feature vectors and capture the hidden relationship between them. The model is tested on the three different datasets, our model is better than the baseline models in NDCG and precision.</jats:p>

The marine medaka is emerging as a potential behavioral model organism for ocean studies, namely on marine ecotoxicology. However, not much is known on the behavior of the species and behavioral assays lack standardization. This study assesses the marine medaka as a potential model for chemical communication. We investigated how short exposure to visual and chemical cues mediated the stress response to social isolation with the light/dark preference test (LDPT) and the open field test (OFT). After a 5-day isolation period, and 1 h before testing, isolated fish were randomly assigned to one of four groups: (1) placed in visual contact with conspecifics; (2) exposed to a flow of holding water from a group of conspecifics; (3) exposed to both visual and chemical cues from conspecifics; or (4) not exposed to any stimuli (controls). During the LDPT, the distance traveled and transitions between zones were more pronounced in animals exposed to the conspecific's chemical stimuli. The time spent in each area did not differ between the groups, but a clear preference for the bright area in all animals indicates robust phototaxis. During the OFT, animals exposed only to chemical cues initially traveled more than those exposed to visual or both stimuli, and displayed lower thigmotaxis. Taken together, results show that chemical cues play a significant role in exploratory behavior in this species and confirm the LDPT and OFT as suitable tests for investigating chemical communication in this species.

Government service mini-programs (GSMPs) in mobile payment have become integral to the eGovernment in China’s Greater Bay Area (GBA). The ubiquitous nature of WeChat and Alipay provides excellent flexibility for accessing public e-services. Yet, the determinants and mechanisms of adoption have not been identified. A convenience sample was collected from GBA core cities for statistical and SEM analysis. The findings suggest that service quality, trust in eGovernment, ubiquity, and social influence constitute the determinants. A structural model grounded on Self-Determination and Motivation theory is verified, where perceived value and intention contribute a high explanatory power. Benevolence, integrity, and competence are crucial indicators of trust, while social influence amplifies risk perception. Surprisingly, government support negatively moderates the impact of determinants on intention, indicating that over-intervention leads to inhibition. The mechanism illustrates the beneficial impact of GSMPs as the smart government channel and provides insights into addressing service homogeneity and policy applicability. Relevant theoretical and managerial implications are instructive to policymakers and practitioners of smart city innovation and in-depth integration in GBA.

<jats:p>Worldwide, cardiovascular diseases are some of the primary causes of death; yet the early detection and diagnosis of such diseases have the potential to save many lives. Technological means of detection are becoming increasingly essential and numerous techniques have been created for this purpose, such as forecasting. Of these techniques, the time series forecasting technique seeks to predict future events. The long-term time series forecasting of physiological data could assist medical professionals in predicting and treating patients based on very early diagnosis. This article presents a model that utilizes a deep learning technique to predict long-term ECG signals. The forecasting model can learn signals’ nonlinearity, nonstationarity, and complexity based on a long short-term memory architecture. However, this is not a trivial task as the correct forecasting of a signal that closely resembles the original complex signal’s structure and behavior while minimizing any differences in amplitude continues to pose challenges. To achieve this goal, we used a dataset available on the Physio net database, called MIT-BIH, with 48 ECG recordings of 30 min each. The developed model starts with pre-processing to reduce interference in the original signals, then applies a deep learning algorithm, based on a long short-term memory (LTSM) neural network with two hidden layers. Next, we applied the root mean square error (RMSE) and mean absolute error (MAE) metrics to evaluate the performance of the model and obtained an average RMSE of 0.0070±0.0028 and an average MAE of 0.0522±0.0098 across all simulations. The results indicate that the proposed LSTM model is a promising technique for ECG forecasting, considering the trends of the changes in the original data series, most notably in R-peak amplitude. Given the model’s accuracy and the features of the physiological signals, the system could be used to improve existing predictive healthcare systems for cardiovascular monitoring.</jats:p>

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.

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.

In the first half of the 20th century, Macao’s three traditional handicraft industries were: making matches, firecrackers, and incense, and these three became important pillars of Macao's economy. These industries were supported by four other industries, namely: shipbuilding, wine, printing and the clothing that are integral to understanding the history of Macao. The purpose of this research has been to document the importance of Macao's seven traditional industries, in particular the firecracker factories with special reference to the Yick Loong factory. This dissertation makes a significance contribution to the subject of the historical development of Macao’s traditional handicraft industries in reviewing each of the traditional industries and in particular detailing the Yick Loong factories operations and the understanding of the local Macao people to the past importance of this operation. These industries need to be discussed so that society can have a deeper understanding of the importance of them, as up to now they have been little explored. So, by visiting the location of the Yick Loong Firecracker Factory, gathering knowledge, and conducting in-depth research and in books and through a survey about the Macao firecracker business, the author has been able to show that there appears to be limited understanding of the significance of the firecracker industry in Macao. Though, people most recall the Yick Loong factory’s name when prompted about naming a firecracker factory in Macao and associate firecrackers with the Lunar New Year celebrations. However, they seem to have limited understanding of the significance of the firecrackers to Macao, except for childhood memories of them being released.

Inclusive preschool education in Macao is in its infancy and resource teachers (RTs) play a pivotal role in supporting kindergarten teachers. This study aimed to investigate Macao kindergarten teachers’ demand for and satisfaction of RTs’ support services in inclusive education. Using a mixed method design, the researcher administered a self-developed questionnaire (including a need scale and a satisfaction scale) to 70 kindergarten teachers and interviewed four kindergarten teachers. Based on the quantitative and qualitative data analyses, results showed that: 1) Kindergarten teachers had a high demand for RTs’ support services no matter whether they had previously received such services, and kindergarten teachers who had received RTs’ support services (N = 43) were moderately satisfied with their support services. 2) There was a moderate correlation between the demand and satisfaction scales and respective dimensions. The need level was significantly higher than the satisfaction level on all six dimensions. Teachers reported highest scores on both their need and satisfaction on the dimension of Cooperation, Interaction, and Communication. 3) Kindergarten teachers’ need level increased significantly when the number of inclusive students taught during the school year was three or more, compared to a number below three. Teachers’ satisfaction level did not differ significantly across any demographic variables. 4) Kindergarten teachers were satisfied with RTs’ support services in terms of improved classroom management by handling inclusive students’ problem behaviors, pull-out instruction, test-taking assistance, reduction of IEP workload, and the provision of professional support to parents. 5) Kindergarten teachers were dissatisfied with RTs’ support services in terms of cooperative interaction and communication, co-teaching, assessment of inclusive students’ performance, and supervision of RTs' work. Based on the kindergarten teachers’ expectations for RTs’ support services, the implications of this study were discussed to provide meaningful and evidence-based directions for the research and practice of inclusive preschool education in Macao. 澳門學前融合教育處於發展階段，資源教師在支持幼稚園教師學前融合教育中起著舉足輕重的作用。本研究旨在探究澳門幼稚園教師對資源教師支援服務的需求及滿意度情況。通過問卷調查法和半結構訪談法相結合的混合研究方法，研究者採用自編問卷調查了澳門70名幼稚園教師並訪談了4名幼稚園教師，其中問卷的需求和滿意度量表均分別由六個維度組成，包括：「專業知能」、「擬定和執行個別化教育計劃」、「教學資源與課程」、「成績評量」、「合作互動溝通」、「家長溝通」。量化及質性數據分析結果顯示：1）無論之前是否接受過資源教師的支援服務，幼稚園教師對資源教師的支援服務都有著較高的需求，而接受過資源教師支援服務的幼稚園教師（N = 43）對其支援服務的滿意度則達到一般滿意的水準；2）需求與滿意度量表及各維度之間呈現中度正相關，同時需求程度在各維度上均顯著高於滿意度；需求與滿意度得分最高的都是「合作互動溝通」維度；3）在不同的背景變量下，需求程度只有在「本學年為多少位融合生提供教學」該變量上有顯著差異，當融合生人數達到3名或以上時，教師對資源教師的需求有所增加，而滿意度在不同的背景變量下則沒有顯著差異；4）幼稚園教師對資源教師在改善融合生行為問題造成的班級影響、抽離教學、測考協助、減少IEP工作量、以專業角度向家長提供支援服務方面感到滿意；5）幼稚園教師對資源教師在合作互動溝通、合作教學模式、成績評量、對資源教師工作監管等方面感到不太滿意。最後，結合幼稚園教師對資源教師所提出的期望，筆者提出本研究的啟示，包括完善資源教師的政策規定、加強資源教師的專業化程度、拓展幼稚園教師與資源教師合作教學的模式，以及促進雙方之間的溝通與合作互動關係，為本澳學前融合教育的研究與實踐提供有意義的、循證的方向。

The quiet fashion trend is becoming one of the most common fashion trends among Gen Zs. Quiet normally means not making noise. Within the fashion industry it refers to style of luxury fashion that is understated, subtle, and free from obvious branding. The study that was reported in this paper is about the factors that affect consumer preference and purchase intention towards quiet luxury fashion products, with a focus on the Gen Z population. This research is important since it will help in outlining how different factors affect consumer purchase intention and preference towards various products within the fashion industry. Thus, enabling decision-makers and marketers to make effective decisions. The research method that was used was quantitative research with primary and secondary data. The primary data was collected through a survey questionnaire, which included 300 responses. The research found that social media influencers, brand collaboration, and status value are among the factors that have a significant relationship with consumer preference and purchase intention toward the quiet luxury brand among Gen Zs. Also, the research found that sustainability value does not have a direct impact on consumer preference and purchase intention for quiet luxury products. Hence, the research concluded that social media influencers, brand collaboration, and status value are part of the factors that have a significant impact on consumer preference and purchase intention.

In the 21st century, complex problem-solving (CPS) serves as a key indicator of educational achievement. However, the elements of successful CPS have not yet been fully explored. This study investigates the role of strategic exploration and different problem-solving and test-taking behaviors in CPS success, using logfile data to visualize and quantify students’ problemsolving behavior on 10 CPS problems with different characteristics and levels of difficulty. Additionally, in the present study, we go beyond the limits of most studies that focus on students’ problem-solving behavior pattern analyses in European cultures and education systems to examine Arabic students’ CPS behavior. The results show that computer-based assessments of CPS are feasible and valid in Jordanian higher education. The findings also confirm the structural validity of CPS, indicating that the processes of knowledge acquisition (KAC) and knowledge application (KAP) can be distinguished and separated in the problem-solving process. Large differences were identified in students’ test-taking behavior in terms of the efficacy of their exploration strategy. We identified four latent classes based on the students’ exploration strategy behavior. The study thus leads to a better understanding of how students solve problems and behave during the problem-solving process in uncertain situations.

It has been claimed in \cite1, that the idea proposed in \cite2 has certain mistakes based on arguments of energy conditions and others. Additionally, some of the key arguments of the paper are criticized. Here we demonstrate that the results obtained in \cite2 are correct and that there is no violation of any energy condition. The statements claimed in \cite1 are based on three things: 1). Misinterpretation of the metric solution. 2). Language issues related to the physical quantities obtained in \cite1, where the authors make wrong interpretations about certain results over the geometry proposed in \cite2. 3). Non-rigorous evaluations of the vacuum condition defined via the result over the Ricci tensor R_\mu\nu=0.

Abstract The Jesuit missionary Matteo Ricci's teaching on the goodness of human nature in The True Meaning of the Lord of Heaven represents the fruit of the first encounter between Catholicism and Confucianism. This article will consider the Thomistic and neo‐Confucian sources in Ricci's enunciation of the Catholic doctrine on the goodness of human nature in this Chinese catechism. It will illustrate that Ricci developed his teaching, which is fundamentally Thomistic, with the help of terminology borrowed from the Chinese philosophical tradition. His distinction between the good of nature and the good of virtue leads to prioritising the cultivation of human nature. Ricci's teaching reflects the early modern Jesuits’ appreciation of human freedom. It also displays a Catholic reaction to the sixteenth‐century neo‐Confucian intellectual trend that ignored the importance of moral cultivation.

The aim of this study was to investigate the relationship between job burnout and subjective well-being among primary school teachers in Macao during the post- pandemic era. The research questions included understanding the current status of teachers' job burnout and subjective well-being, analyzing the differences in these aspects across different background variables, and examining the relationship between them. Data were collected through an online questionnaire designed to measure teachers' job burnout and subjective well-being. SPSS 25 and Mplus 8 statistical software were used to ensure the reliability and validity of the questionnaire through Cronbach's alpha analysis and confirmatory factor analysis, ensuring that both were within acceptable ranges. The collected data were analyzed using descriptive statistics, independent samples t-tests, one-way ANOVA, Pearson correlation analysis, and linear regression. The results indicated that Macao primary school teachers' job burnout and subjective well-being were both at a moderate level. There were no significant differences in job burnout and subjective well-being among teachers of different genders, ages, school types, and school sizes. Moreover, there was no significant relationship between different educational backgrounds and subjective well-being among Macao primary school teachers. However, regarding educational background and teaching experience, primary school teachers with a "Master's degree or above" and those with teaching experience of "1-3 years" showed significant differences in the "Emotional Exhaustion" dimension. Additionally, the data revealed a significant relationship between job burnout and subjective well- being among Macao primary school teachers, with job burnout predicting subjective well-being. Teachers, as frontline educators, deserve attention to their mental health, particularly in the post-pandemic era. Therefore, this study provided empirical evidence for educational authorities, schools, and the public to reduce job burnout and enhance the well-being of primary school teachers in Macao, thereby supporting the development of primary education in the region. 本研究旨在探討後疫情時期澳門小學教師職業倦怠感與主觀幸福感之間的關係。研究問題包括瞭解教師的職業倦怠感與主觀幸福感現況，分析不同背景變量對教師職業倦怠感與主觀幸福感的差異。透過線上問卷形式蒐集資料，以測量教師的職業倦怠感和主觀幸福感。通過SPSS25和Mplus8統計軟件，以克隆巴赫係數分析和驗證性因子分析確定問卷的信效度均在可接受的範圍內，並對蒐集所得之數據進行描述性統性、獨立樣本 t 檢定、單因子變異數分析、皮爾森積差相關分析及線性迴歸進行分析。 研究結果顯示，澳門小學教師的職業倦怠感與主觀幸福感分別處於中位程度。不同性別、年齡、任教學校類型及學校規模對教師職業倦怠感與主觀幸福感無顯著差異，而且不同學歷的澳門小學教師在主觀幸福感無顯著差異。然而，在學歷和教師年資方面，除主觀幸福感外，具備「碩士或以上」學歷及教學年資為「1-3 年」的小學教師與「情感耗竭」維度之間呈現顯著差異。此外，數據也顯示，教師的職業倦怠感與主觀幸福感之間存在相關關係，且教師職業倦怠感對主觀幸福感有預測作用。 教師作為教育工作的前線人員，其心理健康值得被關注，尤其在後疫情這特殊時期，教師的心理健康問題更突出。因此，本研究為教育行政當局、學校、 社會大眾提供實證依據，為減輕澳門小學教師職業倦怠感，提高主觀幸福感提出建議，以促進本澳小學教育事業的發展。

With the continuous reform of education and the ongoing development of teaching methods by the Macao government, the teaching model of biology is also constantly evolving. The “5E” instructional model, proposed and developed by the Biological Sciences Curriculum Study (BSCS) in the United States, consists of a learning cycle divided into five phases: Engagement, Exploration, Explanation, Elaboration, and Evaluation. Each phase begins with the letter “E,” hence it named as the 5E teaching model. This model is currently widely applied in inquiry-based teaching across multiple countries. This article is a research study on practical teaching, where the researcher attempts to integrate information technology with the 5E learining method in an 8th Grade biology class. The aim is to explore whether the learning attitudes and academic performance of middle school students can be enhanced in the context of the 21st century. The focus of this study is on the chapter about the “Immune System,” selecting two parallel classes of 8th Grade students from a secondary school in Macao as research subjects. One class uses the 5E model, while the other teaching with traditional lecturing methods. Through Document Analysis, equivalent-group design, and questionnaire surveys and lesson plan based on 5E model, statistical software SPSS 22 is used to analyze the data regarding students’ biology learning attitudes and academic performance, thereby assessing the effectiveness of teaching using the 5E model and identifying issues encountered during the teaching process to provide targeted teaching strategies. The research findings indicate: (1) There is no significant difference in the learning attitudes and performance of students in the experimental class compared to the control class regarding the immune system unit. (2) There is no significant difference in the learning attitudes and performance of students in the experimental class before and after receiving 5E teaching. (3) For students with average academic performance, the experimental class shows significant differences in learning interest and strategies compared to the control class after undergoing 5E teaching. (4) Among students with average academic performance in the experimental group, there is a significant difference in learning interest after 5E teaching compared to before. (5) Students express high satisfaction with the teacher’s integration of information technology into the 5E teaching model, which can stimulate their interest in learning natural sciences.

In the everchanging environment of the digital era, incorporating new technologies has become a critical engine for company development and progress Mobile applications, for example, have emerged as important tools for reaching and engaging a diverse client base These apps° user interface ¥UI¦ design is essential to this engagement since it directly influences the ease of use, user experience ¥UX¦, and, ultimately, the organisation°s overall reputation Macau has experienced a significant shift in food delivery service in recent years, with a quick transition to an online platform Three significant companies have emerged in this fastpaced atmosphere, each vying for a piece of the market These platforms act as meal order brokers, linking customers and restaurants, with most eateries available on all three apps In this situation, it is vital to identify the factors that influence clients to pick one application over another Simultaneously, pinpointing the pain points inside competitors° applications that generate unhappiness among certain customers becomes a crucial goal This research aims to uncover the primary factors influencing user app preferences in the Macau food delivery business, providing insight into the strengths and weaknesses that impact customer choices and, as a result, the trajectory of these organisations

The purpose of this study is to examine the current situation of work stress and school support among teachers in integrated schools in Macau, to analyze the differences and correlations between work stress and school support among different background variables. This study utilized the questionnaire survey method as the research method, with secondary, primary and kindergarten teachers of integrated schools in Macau as the research subjects. The research instrument was a self-administered questionnaire on the relationship between work stress and school support among teachers of integrated schools in Macau, which was filled out in the form of an electronic questionnaire. A total of 253 questionnaires were collected and 253 questionnaires were usable, with a usability rate of 100%. The collected data were analyzed by descriptive statistics, independent sample t-test, single factor analysis of variance, and Pearson's cumulative difference correlation analysis, among other statistical methods. Based on the analysis, the following conclusions are as follows: (1) The overall work stress of Macau's integrated teachers is moderately high, and the mean values of each level are ranked from highest to lowest as workload, professional knowledge, and administrative cooperation, among which workload and professional knowledge belong to the medium-high level, and administrative cooperation belongs to the medium level. (2) The overall school support of Macau's integrated teachers is of medium-high level, with the mean values of each level ranked from high to low as family and friends' support, peer support, parents' support and administrative support, among which family and friends' support, peer support and parents' support are of medium-high level, while administrative support is of medium-low level. (3) The overall work stress of Macau's integrated teachers varies significantly across the highest level of education and stages of education. (4) The overall school support of Macau's integrated teachers varies significantly by marital status, highest academic qualification, years of teaching experience, position held, integrated education courses pursued, number of students in the classroom, and the size of the school. (5) The relationship between total work stress and total school support of Macau's integrated teachers was found to be low and negative. In Macau, there are no systematic research has been conducted on these two topics. Through this study, the authors localize these existing research findings, explore their applicability in Macau, and make recommendations for the education sector, school units, and integration teachers respectively, based on the actual situation in Macau. 本文旨在探討澳門融合學校教師的工作壓力及學校支持之現況，分析不同教師背景變項在工作壓力及學校支持的差異情況及兩者之間的相關性。 本研究以問卷調查法為研究方法，以澳門融合學校的中、小、幼教師為研究對象。研究工具為自編的澳門融合學校教師工作壓力與學校支持關係之研究問卷，以電子問卷的方式進行填寫。共回收問卷253份，可用問卷為253份，可用率為100%，回收的數據以描述性統計、獨立樣本t檢定、單因數變異數分析法、皮爾遜積差相關分析等統計方法進行分析。 根據分析所得結論如下：（一）澳門融合學校教師總體工作壓力屬於中等偏高程度，在各個層面平均值由高至低排列為工作負荷、專業知能及行政配合，其中工作負荷及專業知能屬於中高水準，行政配合屬中等水準。（二）澳門融合學校教師總體學校支持屬於中等偏高程度，在各個層面平均值由高至低排列為親朋支持、同儕支持、家長支持及行政支持，其中親朋支持、同儕支持及家長支持屬於中高水準，行政支持屬中低水準。（三）澳門融合教師總體工作壓力在不同學歷及任教教育階段有顯著差異。（四）澳門融合教師總體學校支持在不同婚姻狀態、學歷、教學年資、擔任職務、融合教育課程進修、任教班級學生數目及校部規模有顯著差異。（五）澳門融合教師總體工作壓力與總體學校支持兩者之間的關係為顯著低度負相關。 在澳門地區，目前尚未進行過針對這兩個主題相關的系統性研究。作者透過本研究，將已有的研究成果進行本土化，探索它們在澳門環境下的適用性，結合當地的實際情況，分別為教育部門、學校單位及融合教師提出建議。