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本文透過教父尼薩的額我略的早期著作《真福八端講道集》，探討其神學體系中天主的恩寵和人的自由之間的關係。作者著眼於天主的恩寵和人的自由在聖化過程中的動態關係，首先闡釋額我略對人的聖化即是回歸本性的縱向旅程的理解；其後具體分析該講道集中額我略對天主的恩寵（外在恩寵、內在恩寵）和人的自由（選擇的自由和自主性的自由）的理解；最後分析兩種恩寵和兩種自由在靈性旅程中本質上是並行發展、相容互惠的關係。

Artificial Intelligence (AI) is being applied in different areas of Administration and Management including finance, e-commerce, etc. Project Management (PM) is one area that may benefit from the use of AI to support project managers in making more accurate predictions, more quickly, such as deadline adjustments and cost updates, while at the same time helping with some of repetitive tasks of PM by relieving managers from these processes. Nevertheless, multiple aspects are still in consideration to allow AI to be widely adopted in PM, including lack of validated systems, including aspects of quality and prevalence, trust from users, market and specialists, and how the government will play a role to support the wider adoption of AI tools. This research explores the integration of Artificial Intelligence (AI) in Project Management and its potential to enhance four aspects: service quality, trust, prevalence, and government support. The proposed methodology employs a systematic literature review (SLR) combining with a quantitative survey to assess the current state of AI in project management. The SLR covers scholarly articles from 2016 to 2021, focusing on AI's impact on project management across various industries. The survey, conducted among 200 professionals, gathers insights into AI's perceived benefits and challenges in project management. The research findings indicate a positive inclination towards AI in project management, with respondents recognizing its potential to improve efficiency, support data-driven decisions, and enhance risk management. However, the study also reveals concerns regarding data quality, privacy, and the need for ethical considerations in AI applications. Most respondents agree on the necessity of government support to foster AI adoption and the importance of establishing trust in AI systems through transparency and security measures. The thesis concludes with recommendations for practitioners and policymakers to effectively leverage AI in project management. It proposes a framework including the development of training programs, the establishment of quality standards for AI services, and the promotion of public-private partnerships to drive innovation. The study emphasizes the importance of a multi-faceted approach to AI integration, considering technological, organizational, and ethical dimensions.

This dissertation investigates the impact of the COVID-19 pandemic on teachers' perceptions of digital technology in education, particularly in the context of Macau. As traditional classrooms transitioned to online and blended learning environments in March 2020, the necessity for teachers to adapt and utilize technology became paramount. This study explores how future educators' experiences with e-learning during this crisis have shaped their views on the benefits and challenges of various instructional methods, including online, face-to-face, and blended learning. Utilizing a quantitative research methodology, data were collected from a sample of 30 primary teachers through structured surveys. Findings reveal a significant shift in attitudes towards digital tools, with many educators reporting increased confidence in their digital literacy and recognizing the importance of technology in modern education. The research further elucidates the factors influencing teachers' preparedness for digital instruction and the effectiveness of their internship experiences during the pandemic. The implications of this study underscore the critical role of teacher training programs in enhancing digital literacy and pedagogical skills, ensuring that future educators are well-equipped to navigate the complexities of contemporary educational environments. This dissertation contributes to the growing body of literature on technology integration in education and emphasizes the need for ongoing professional development to support teachers in leveraging digital tools effectively.

Autism Spectrum Disorder (ASD) is receiving growing attention as the number of diagnoses continues to rise. However, there is a lack of resources focused on investigating interventions that could improve the quality of life for individuals with ASD. People with ASD often encounter difficulties in social interactions, and their challenges in recognizing emotions further hinder their ability to understand social cues and build relationships. This emotional recognition deficit is thought to be influenced by observed brain abnormalities in the frontal lobe for people with ASD. Given these significant factors, it is crucial to explore potential interventions. The present study utilized Dance Movement Therapy (DMT) as an intervention for individuals with ASD and assessed their emotional recognition abilities, complemented by EEG recordings to explore the efficacy of DMT. A total of 12 one-hour DMT sessions were conducted with the experimental group (n=6), while the control group (n=5) received no intervention. Participants were presented with the Revised Version of the Averaged Karolinska Directed Emotional Faces (AKDEF), which included 36 images (excluding neutral images and full left and right profiles) at four intervals: pre-therapy (T1), after the 4th session (T2), after the 8th session (T3), and post-therapy (T4), while task for control group was present in two-week intervals. EEG band power for alpha and beta frequencies in the frontal lobe was recorded using the EMOTIV EPOC X at the AF4, F4, F3, and AF3 sites. Results indicated that the experimental group demonstrated a significant improvement in accuracy on emotional recognition tasks compared to the control group, although no significant differences were found between trials. In contrast, EEG signal analysis revealed significant differences between trials in both groups. A comparison of the correlation between emotional recognition tasks and EEG band power highlighted intriguing contrasts, suggesting potential insights into the learning effects. The experimental group exhibited peak performance at T2, followed by a decline at T3 and T4; while the control group showed a decrease at T2, an increase at T3, and another decrease at T4. It is proposed that the learning observed in the experimental group at T2, following four sessions of DMT, enhanced their ability to perform the emotional recognition tasks, resulting a subsequent decrease in alpha and beta power at T3 and T4, suggesting that less effort was needed during image perception and. In contrast, the control group struggled to learn, which may indicate that learning was not occurred for the controls. This relationship has not been explicitly explored in current research, and further investigations are recommended. Nonetheless, the findings indicate that DMT is effective to some extent in enhancing emotional recognition skills among individuals with ASD, suggesting its potential utility for social services to consider in their offerings. Future studies would benefit from incorporating a larger sample size or employing clinical EEG recording devices to further refine the results.

Counterfeiting in luxury fashion presents unique opportunities for brands. While it negatively impacts them by diluting exclusivity, it also affects consumer psychology in unexpectedly positive ways. Authentic consumers may feel pride in being copied, enhancing their perceived status by owning something only a few can possess. Additionally, counterfeits act as free marketing tools, increasing brand awareness on a scale not otherwise accessible, especially for niche or inconspicuous luxury brands. Moreover, counterfeiting offers an opportunity for differentiation through sustainability. Counterfeiters, focused on low-cost production, often cannot commit to sustainable and ethical standards. Luxury brands can leverage this by emphasizing their commitment to sustainability, distancing themselves from counterfeits. Strategically, this allows brands to attract consumers who previously purchased counterfeits, converting them into loyal customers of authentic products. This chapter explores how luxury fashion brands can leverage these dual dynamics to strengthen their market position.

With the rapid development of Internet technology and the acceleration of globalization, cross-border cybercrime has become a global challenge, and its complexity and severity are increasingly prominent. Cyberspace is unbounded, anonymous and real-time, which provides unprecedented convenience for criminals, enabling them to easily cross-national borders and commit a series of criminal acts that seriously endanger national security, social stability and citizens' rights and interests, including online fraud, online gambling, online money laundering and infringement of intellectual property rights. These crimes not only destroy the order of cyberspace, but also pose new challenges to the legal system and jurisdiction of the real world. As two closely linked economies, Macao and China enjoy the convenience brought by the Internet, but they are also deeply troubled by cross-border cybercrimes. Although the two places belong to the same sovereign country, there are significant differences in legal systems, judicial systems and law enforcement practice, which may lead to conflicts and differences in the jurisdiction, investigation, prosecution and trial of cases. These legal conflicts not only affect the fairness of cases, but also hinder the effective cooperation between Macao and China in combating cross-border cybercrimes, posing a serious threat to maintain social stability and protecting citizens' rights and interests in the two places. Therefore, it is not only of great theoretical significance, but also of far-reaching practical significance to study the criminal jurisdiction over cross-border cybercrimes between Macao and China. From a theoretical point of view, the criminal jurisdiction of cross-border cybercrime involves many disciplines such as constitutional law, criminal law, criminal procedure law, and also the application of the Basic Law of Macao, which is a complex research topic. With the continuous innovation of Internet technology, the applicability of the traditional criminal jurisdiction principle in cross-border cybercrimes is seriously challenged. How to re-examine and define the criminal jurisdiction of cross-border cybercrimes in the new era and how to coordinate the jurisdiction conflicts between different jurisdictions have become urgent problems in current legal research. From a practical point of view, cross-border cybercrime has seriously endangered the social stability and economic development of Macao and China. Criminals use the Internet to engage in cross-border gambling, cross-border fraud, spread network viruses and other criminal activities, which not only bring huge economic losses and psychological trauma to the victims, but also seriously undermine the social atmosphere and market order. Therefore, it is of great significance to strengthen the crackdown on cross-border cybercrimes and improve the criminal jurisdiction system of cross-border cybercrimes for maintaining the stability of the society and promoting healthy economic development in both places.

This dissertation investigates the key factors influencing citizens to adopt e-government services in Macao, focusing on the Macao One Account platform. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, the study examines factors such as Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, with additional factors including Trust and Perceived Risk. This study is essential to provide a guideline for adopting e-government services effectively, helping policymakers and government entities optimize digital platforms for improved service delivery and user engagement. The research employed a quantitative methodology. The survey data was collected through an online survey in Google Forms distributed to Macao residents who use the Macao One Account platform. The responses of the 126 respondents were analyzed using descriptive statistical methods to identify trends and relationships between the key constructs. The findings reflect that performance expectations, effort expectations, trust, and facilitating conditions are the most influential drivers, with social influence playing a more moderate role. Perceived risk is low, indicating minimal concerns about security or privacy. Usability is an important driver, as most respondents find the platform easy to learn and use. Additionally, the users’ attitudes to the e-government platform could be affected by their trust in the government; reducing risk and increasing confidence can improve the platform's reliability to users. This study shows the need to improve the e-government platform by focusing on users. It includes making it easier to use, building trust with strong data protection, and making it accessible to all citizens. These results give ideas for adopting e-government in Macao and offer simple steps for policymakers to create more inclusive digital services.

This study aims to explore the difficulties and challenges faced by regular primary school teachers in Macao when dealing with inclusive students in the classroom. As the concept of inclusive education deepens, the number of inclusive students in Macao has been increasing, but the growth of schools participating in inclusive education has been slow, posing more challenges for regular primary school teachers. This research adopts a mixed-method approach, combining classroom observations and in-depth interviews to comprehensively understand the issues teachers face. The study conducted structured observations of 15 lessons, covering 5 grade levels and 5 subjects, and carried out in-depth interviews with 7 teachers. The findings reveal: (1) Inclusive students generally experience difficulties in classroom participation, task completion, and independent learning; (2) Teachers generally lack sufficient professional knowledge and skills to effectively address the needs of inclusive students; (3) Schools lack resources and support, including adaptive curriculum arrangements and assessment methods for inclusive students; (4) There are contradictions between current educational policies and practical needs, such as the no-retention policy for grades 1-4, which may lead to missing the best intervention timing for inclusive students. Based on the research results, this paper proposes recommendations including strengthening teacher professional development, optimizing school resource allocation, improving educational policies, reinforcing early identification and intervention mechanisms, and promoting home-school cooperation. These findings and suggestions provide important references for policy-making and practical improvements in inclusive education in Macao. 本研究旨在探討澳門普通小學教師在課堂應對融合學生時所面臨的困難及挑戰。隨著融合教育理念的普及，澳門融合學生數量不斷增加，但參與融合教育的學校數量增長緩慢，使得普通小學教師面臨更多挑戰。本研究採用混合研究方法，結合課堂觀察和深度訪談，以全面了解教師面臨的問題。 研究對15節課進行了結構化觀察，涵蓋5個年級和5個學科，並對7位教師進行了深度訪談。研究發現：（一、）融合學生在課堂參與、任務完成和自主學習等方面普遍存在困難；（二、）教師普遍缺乏足夠的專業知識和技能來有效應對融合學生；（三、）學校資源和支援不足，缺乏針對融合學生的適應性課程安排和評核方式；（四、）現行教育政策與實際需求之間存在矛盾，如一至四年級不留級制度可能導致錯過融合學生最佳干預時機。 基於研究結果，本文提出了加強教師專業發展、優化學校資源配置、完善教育政策、強化早期識別和干預機制，以及促進家校合作等建議。這些發現和建議為澳門融合教育的政策制定和實踐改進提供了重要參考。 關鍵詞：融合教育，普通小學教師，融合學生，澳門

While the initial adoption of technology is widely studied, the factors driving its long-term retention remain a critical gap. This research shifts the focus from adoption to sustained use by applying the Model for Sustained Technology Use (MSTU) to investigate generative AI engagement among Vietnamese university students. A cross-sectional survey of 100 students measured the key constructs of Habit, Satisfaction, and Perceived Usefulness, as well as their impact on Sustained Technology Use. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that Habit is the strongest direct predictor of sustained use, surpassing the influence of Perceived Usefulness (PU). While PU drives initial adoption, its effect diminishes over time, whereas Satisfaction (ST) plays a crucial mediating role in long-term engagement. These results challenge the prevailing assumption that perceived usefulness alone is sufficient to ensure long-term success. The study offers key implications for researchers and practitioners, emphasizing the importance of designing AI educational tools that seamlessly integrate into and adapt to user workflows to promote habitual use. For educators and developers, this means prioritizing features that create engaging, positive, automatic user experiences to ensure generative AI remains a retained educational resource, not a momentary novelty.

本研究旨在探討跨學科教學方法在數學教育中的應用效果,特別聚焦於編 程與數學課程的整合。探討結合數學與編程的跨學科教學設計對小學四年級學 生的影響,旨在提升學生的數學和編程學習的成效。研究採用 5E 教學模式, 將 Scratch 3.0 編程活動融入數學課程,並進行實驗以評估其成效。研究對象為 澳門一所學校兩個四年級普通班級(A 班和 B 班)的學生,分為實驗組和對照 組。研究採用交叉設計,進行兩次實驗:實驗一以 A 班為實驗組、B 班為對照 組,進行《旋轉對稱圖形》單元的跨學科教學;實驗二則互換角色,以 B 班為 實驗組、A 班為對照組,進行《可以被 3 整除的數》單元的跨學科教學。研究 使用數學單元測驗卷、數學學習動機量表,以及學生的數學測驗成績和編程學 習動機量表作為評估工具。 研究結果顯示: 一、數學成績提升:實驗組學生的數學成績顯著高於對照組。 二、數學學習動機增強:實驗組學生在數學興趣和自我效能感方面均有顯 著提升。 三、編程學習動機提升:實驗組在編程社會價值、感知編程效用、編程興 趣和自我效能方面均有顯著的提升。 結論指出,實施編程活動融入數學科的跨學科教學,提升學生的數學成 績、數學和編程的學習動機。建議應推廣此類跨學科教學,並加強教師培訓及 教學資源開發,以提高學生的學習動機和成效。未來研究可擴大樣本範圍,探 討長期效果及多學科整合的影響。 This study investigates the impact of interdisciplinary teaching design integrating mathematics and programming on fourth-grade elementary school students, aiming to enhance their learning outcomes in both subjects. The research employs the 5E instructional model, incorporating Scratch 3.0 programming into the mathematics curriculum, and conducts experiments to evaluate its effectiveness. The study subjects are two regular fourth-grade classes (Class A and Class B) from a school in Macau, divided into experimental and control groups. A crossover design is used, conducting two experiments: in Experiment 1, Class A serves as the experimental group and Class B as the control group for the "Rotational Symmetry Figures" unit; in Experiment 2, the roles are reversed, with Class B as the experimental group and Class A as the control group for the "Numbers Divisible by 3" unit. The study uses mathematics learning motivation and programming learning motivation scales as assessment tools. Major research findings are as follows: 1. Improved mathematics performance: The experimental group's mathematics scores were significantly higher than the control group's. 2. Enhanced mathematics learning motivation: The experimental group showed significant improvements in mathematics interest and self-efficacy. 3. Increased programming learning motivation: The experimental group demonstrated significant improvements in programming social value, perceived programming utility, programming interest, and self-efficacy. The conclusion indicates that the 5E instructional model effectively promotes the integration of mathematics and programming, enhancing students' learning outcomes. It is recommended that educational institutions promote such interdisciplinary teaching and strengthen teacher training and teaching resource development to improve students' learning motivation and effectiveness. Future research could expand the sample size to explore long-term effects and the impact of multi-disciplinary integration.

This study aims to conduct a comprehensive analysis of the dual effects of Macao's economic diversification policy, with the intention of exploring its role in fostering economic sustainability. By thoroughly examining Macao's economy, which has traditionally been heavily reliant on the gaming and tourism industries, the study uncovers the implementation effects of the economic diversification policy, the challenges it encounters, and its potential influence on the economy's future trajectory. The research utilizes a mixed-methodology approach, integrating extensive quantitative data analysis with qualitative interviews to ensure the comprehensiveness and systematic nature of the findings. The study's outcomes underscore the beneficial effects of Macao's economic diversification policy in stimulating the growth of new industries, bolstering economic resilience, and attracting foreign investment. However, the policy also faces challenges such as skill shortages, uneven resource distribution, and the impact on traditional economic pillar industries. The research indicates that despite certain progress, Macao's economic diversification process still needs to overcome various internal and external obstacles. In response to the research findings, this study proposes a series of targeted recommendations, including strengthening the connection between education and industry, optimizing resource allocation strategies, stimulating innovation and entrepreneurship, and promoting the collaborative development of traditional and emerging industries. These suggestions aim to assist the Macao government in effectively addressing current challenges and laying a solid foundation for the long-term development of Macao's economy.

本書由36 位不同界別的領袖、專家和學者，分享與人口老齡化相關的精闢觀察與洞見，探索創新永續的生活和經濟模式，包括相關的政策、黃金時代經濟的發展、中國安老服務的新視野、醫康養老新發展、智齡科技的應用、永續人才和社區發展等議題，為業界提供參考，亦為45 歲以上的黃金一代應對未來退休生活提供啟發。 「我們的生活越來越受創新技術的影響，我們的社會也更加重視綠色生活和可持續發展。科技和綠色生活方式必須融入智齡產品和服務中。」 —— 陳茂波 香港特別行政區財政司司長 「我們的共同目標是在老齡化世界中不讓任何人掉隊。」 —— 威廉•史密斯博士 聯合國紐約總部老年事務非政府組織委員會主席 「我們深信人口老化為全球帶來嶄新的機遇。中、老年人是唯一正在不斷增長的人力資源，也是創新產品和服務的龐大消費群體。」 —— 容蔡美碧 黃金時代基金會創會主席

The pandemic exposed weaknesses in the global trade system, making it clear that climate actions are the priority in the recovery. International organizations are urging countries to seize this opportunity and integrate climate-friendly trade and investment rules to promote sustainable development. Trade is recognized as a powerful tool for tackling climate change, offering economies ways to both reduce emissions and adapt to environmental changes. In this paper, we investigate the digital and sustainable trade facilitation measures implemented in ASEAN countries, namely Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam. We use a well-established trade model, the gravity model, to assess the impacts of trade facilitation efforts, particularly those that leverage digital technologies and promote sustainability. The data for this analysis comes from the UN Global Survey on digital and sustainable trade facilitation in 2017, 2019, and 2021. The results show that trade facilitation measures are crucial to increasing trade among the ASEAN countries. Measures of transparency of trade procedures, trade formality alleviation, and cross-border paperless trade have significant positive impacts on bilateral trade between ASEAN countries.

本研究旨在探討澳門 25-34 歲年齡層個人對生育權的認知與理解,以及這 些觀點對其生涯規劃和性別平等態度的影響。澳門作為一個快速發展的特別行 政區,關於生殖權的討論仍然較為缺乏,這使得本研究特別重要,因為它有助 於填補這一領域的知識空白。本研究採用質性研究方法,通過有目的抽樣,對 20 名年齡在 25-34 歲之間的澳門居民進行半結構訪談,並以詮釋學方法分析數 據。 研究發現如下: 1. 男性參與者更關注個人角色和責任,並反思社會期望和文化價值觀。 2. 女性參與者則更關注社會期望與個人自主權的衝突,並關心性別平等和 個人權利。 這些差異突顯了性別角色和社會責任在男性和女性身上的不同詮釋,並反映 了社會、文化和個人因素對於性別觀點的塑造作用。研究結果對於推動澳門的 性別平等政策和生殖權利保障具有重要意義,並為後續研究提供了實證基礎。 This study aims to explore the awareness and understanding of reproductive rights among individuals aged 25-34 in Macau, as well as the impact of these views on their career planning and attitudes towards gender equality. As a rapidly developing Special Administrative Region, Macau still lacks extensive discussion on reproductive rights, making this research particularly important as it helps to fill the knowledge gap in this field. The study employs qualitative research methods, using purposive sampling to conduct semi-structured interviews with 20 Macau residents aged 25-34, and analyzes the data using hermeneutic methods. The findings of the study are as follows: 1. Male participants are more concerned with individual roles and responsibilities, and they reflect on societal expectations and cultural values. 2. Female participants are more focused on the conflict between societal expectations and personal autonomy, and they are concerned with gender equality and individual rights. These differences highlight the varying interpretations of gender roles and social responsibilities between men and women and reflect the influence of social, cultural, and personal factors on gender perspectives. The research results have significant implications for promoting gender equality policies and reproductive rights protection in Macau, providing an empirical basis for subsequent studies.

Este livro é resultado do I International Meeting da Law and Development Research Network (LDRN) ou Rede de Pesquisa Direito e Desenvolvimento. As temáticas do encontro internacional foram os objetivos do desenvolvimento sustentável, o desenvolvimento e a inclusão socioeconômicos. O evento foi organizado pelo grupo de pesquisa Direito e Sociedade Econômica (DISE), que completa uma década, orientado à pesquisa e à solução de problemas socioeconômicos sob a ótica jurídica. Está vinculado ao Programa de Pós-Graduação em Direito da Universidade do Extremo Sul Catarinense (PPGD/UNESC), localizado em Criciúma, Santa Catarina, Brasil. O evento contou com o apoio institucional da Universidade São José (USJ, Macau-China), da Universidade Eduardo Mondlane (UEM, Moçambique) e da UNESC. Participaram do comitê científico Prof. Dr. Almeida Zacarias Machava (UEM); Prof. Dr. Ângelo Patrício Rafael (USJ); Prof. Dra. Camila Villard Duran, ESSCA School of Management, França; Prof. Dr. Fernando de Magalhães Furlan, UNICEPLAC, Brasil; e Prof. Dra. Rúbia Carneiro Neves, Universidade Federal de Minas Gerais, Brasil. A coordenação-geral coube ao Prof. Dr. Yduan de Oliveira May, UNESC, coordenador do DISE e da LDRN. Cumprimenta-se o Prof. Dr. Ansoumane Douty Diakité (USJ) pelo prefácio, no qual discorre com generosidade suas impressões das atividades da LDRN e a ordenação temática deste livro.

The study aimed to analyze teachers' perceptions of co-teaching within an inclusive educational environment, focusing on the challenges they face, the tools and resources available, and how these factors contribute to promoting inclusion. Conducted with 16 primary and secondary school teachers from an inclusive school in Macau, the research utilized in-depth semi- structured interviews to gather qualitative data on their experiences and perceptions. Overall, the findings highlight co-teaching as a powerful strategy in educational settings, particularly for enhancing students’ learning outcomes. Teachers reported positive views on co-teaching, recognizing its potential to promote collaboration and support diverse learners effectively. Nevertheless, cultural factors significantly influenced teachers’ attitudes toward inclusion. The study revealed that teachers varied cultural and professional backgrounds lead to different perspectives on inclusive practices. This complexity highlights the need for culturally responsive approaches in teacher training and professional development. Despite the positive perceptions of co-teaching, teachers encountered several challenges, namely inconsistent school practices, lack of institutional support from school administration and leadership and inadequate training opportunities. This study suggests that addressing these challenges is crucial for the successful implementation of co-teaching approaches, namely policy adjustments by stakeholders to support co-teaching initiatives, effective allocation of resources for teachers, professional development for school leaders to enhance their ability to foster a collaborative environment, and ongoing training focused on co-teaching methodologies for teachers.

This research unveils to predict consumer ad preferences by detecting seven basic emotions, attention and engagement triggered by advertising through the analysis of two specific physiological monitoring tools, electrodermal activity (EDA), and Facial Expression Analysis (FEA), applied to video advertising, offering a twofold contribution of significant value. First, to identify the most relevant physiological features for consumer preference prediction. We integrated a statistical module encompassing inferential and exploratory analysis tools, which identified emotions such as Joy, Disgust, and Surprise, enabling the statistical differentiation of preferences concerning various advertisements. Second, we present an artificial intelligence (AI) system founded on machine learning techniques, encompassing k-Nearest Neighbors, Support Vector Machine, and Random Forest (RF). Our findings show that the RF technique emerged as the top performer, boasting an 81% Accuracy, 84% Precision, 79% Recall, and an F1-score of 81% in predicting consumer preferences. In addition, our research proposes an eXplainable AI module based on feature importance, which discerned Attention, Engagement, Joy, and Disgust as the four most pivotal features influencing consumer ad preference prediction. The results indicate that computerized intelligent systems based on EDA and FEA data can be used to predict consumer ad preferences based on videos and effectively used as supporting tools for marketing specialists.

This dissertation studies the regulatory framework of aviation reform in the Macau Special Administrative Region, focus on the balance between protecting local businesses and promoting market liberalization. The study explores how Macau, as a highly autonomous local administrative region in China with a relatively small economy, can effectively reform its aviation industry while safeguarding local interests in the face of open market competition. The importance of this study lies in its analysis of Macau's aviation sector reforms. As Macau seeks to diversify its economy and strengthen its position as a member of the Greater Bay Area initiative, the aviation industry presents both opportunities and challenges. This research contributes to the broader discussion of how small jurisdictions with special political status can participate in regional economic integration while maintaining their distinct advantages and protecting local interests. The research uses Doctrinal Legal Research and Comparative Legal Research methodologies, utilizing documentary analysis and comparative study methods. This research examines the legal framework of the aviation industry in Macau and the challenges it is currently facing. A comprehensive review of international aviation laws, bilateral air service agreements, and domestic regulations provides the foundation for analyze. The study also conducts a comparative analyze with Hong Kong's aviation framework, offering alternative regulatory approaches for a similar Special Administrative Region of China. Several interesting findings emerged from this research. First, the study identified a fundamental tension between Macau's stated open skies policy and its practical implementation, particularly in limitations of its current concession-based system and the underutilization of international traffic rights. Second, the analysis highlights how the current concession-based system has created a monopolistic market structure that hinders competition and innovation, exacerbated by outdated legislation. Third, the comparative analysis with Hong Kong highlights the importance of a clear legal framework and rules in balancing market liberalization with local industry protection, areas where Macau's current regulations show deficiencies. The concluding thought based on these findings is that Macau's aviation industry reform requires a careful approach that gradually introduces competitive elements while maintaining protections for local enterprises. The study suggests that successful reform will depend on establishing a comprehensive legal framework, implementing a flexible multi-tiered licensing system, enhancing regulatory oversight, and developing mechanisms for regional integration. These reforms must be tailored to Macau's unique circumstances, considering its small market size, political status, and strategic position within the Greater Bay Area.