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Macula fovea detection is a crucial prerequisite towards screening and diagnosing macular diseases. Without early detection and proper treatment, any abnormality involving the macula may lead to blindness. However, with the ophthalmologist shortage and time-consuming artificial evaluation, neither accuracy nor effectiveness of the diagnose process could be guaranteed. In this project, we proposed a deep learning approach on ultra-widefield fundus (UWF) images for macula fovea detection. This study collected 2300 ultra-widefield fundus images from Shenzhen Aier Eye Hospital in China. Methods based on U-shape network (Unet) and Fully Convolutional Networks (FCN) are implemented on 1800 (before amplifying process) training fundus images, 400 (before amplifying process) validation images and 100 test images. Three professional ophthalmologists were invited to mark the fovea. A method from the anatomy perspective is investigated. This approach is derived from the spatial relationship between macula fovea and optic disc center in UWF. A set of parameters of this method is set based on the experience of ophthalmologists and verified to be effective. Results are measured by calculating the Euclidean distance between proposed approaches and the accurate grounded standard, which is detected by Ultra-widefield swept-source optical coherence tomograph (UWF-OCT) approach. Through a comparation of proposed methods, we conclude that, deep learning approach of Unet outperformed other methods on macula fovea detection tasks, by which outcomes obtained are comparable to grounded standard method.

In the current context of intensified economic globalization, Chinese state-owned enterprises (SOEs) have actively responded to the "Belt and Road" initiative by expanding their overseas operations, seeking new growth points through competition and cooperation in the global market. However, along with opportunities come the necessity for risk management in the overseas operations of SOEs. Based on theories of systematic and non-systematic risks, this thesis employs methods such as case study analysis and multiple linear regression to thoroughly examine key risk types in SOEs’ overseas operations, including political risks and exchange rate risks. Using quantitative models like the Analytic Hierarchy Process (AHP) and neural network early-warning models, the thesis empirically tests the effectiveness of mechanisms for risk identification, assessment, and control. Data sources include national statistics and corporate annual reports, and techniques such as Principal Component Analysis (PCA) and cluster analysis are applied to reveal statistical characteristics of risk factors and the internal and external linkage mechanisms of risk events. The thesis points out that the management of risks in overseas operations of SOEs not only relies on scientific assessment and precise early warning but also requires the establishment of a risk management framework and governance system that aligns with international rules. Through in-depth analysis of the overseas operations of enterprises like PetroChina and Huawei, the thesis distills strategies for risk prevention and control, such as diversified investment strategies and the construction of compliance risk control systems, and conducts a comprehensive evaluation of the current risk management system, proposing pathways for sustainable development. The outcomes of the research aim to help SOEs enhance their level of risk management, ensure national economic security, and also provide theoretical guidance and practical reference for the implementation of international strategies by SOEs

The increasing contribution of Generation Z (Gen Z) to Macao’s economy may be the driving force behind the recent changes in Macao’s consumption patterns. This dissertation analyzes how consumption patterns of Macao’s Gen Z differ from other generations. To investigate the types of goods and services consumed, the shopping modes, and the factors that influence the consumption decisions of different generations of Macao, this study conducts a survey to collect primary quantitative data from 296 Macao residents. This study found that the most Macao residents consumed 21%-60% of their income, showing a balance between consumption and saving. They spent most on food and non-alcoholic beverages, healthcare, and education. In terms of receiving information about new products, many Macao consumers learned from family and friends and social media, such as the Red Book and TikTok. Electronic payments have become increasingly popular, such as the local payment system, MPay. The t tests for statistically significant differences show that Gen Z was more likely to make online purchases when buying beauty products and electronic devices than other generations. Compared to other generations, Gen Z was more concerned with the level of fun of the brand, impacts on the environment, society, and local community of the product, personal preference and research, and the recommendations of online reviewers, influencers, and salesperson. Based on the findings of this study, businesses can develop up-to-date marketing strategies to introduce their products to different generations in Macao

Peer-rewieved journal

The question of how to adequately integrate environment and labor provisions in free trade agreements is still a difficult one for both States and academicians. This article explores China’s approach to environment and labor issues in free trade agreements. For reference and comparison, it relies on the European Union’s and the United States’ approaches in their respective FTAs. The article identifies China’s preference for a case-by-case approach to the inclusion of environmental chapters in its FTAs. Additionally, in most FTAs it avoids to include provisions on labor standards. These two preferences represent major divergences from the European Union’s and the United States’ approaches, characterized by inclusion of chapters on environment and labor in all their modern FTAs. The article also finds that China’s FTAs rely solely on consultations and cooperation for the implementation of environmental and labor provisions, within the framework of Joint Committees and avoid the inclusion of civil society mechanisms. Moreover, resolution of disputes relies exclusively on consultations, in a diverse procedure than the one applicable to trade disputes. Despite alignment with the European Union model, this is another major point of divergence with the United States’ model, which applies the same enforcement mechanism for both environment and labor issues and trade issues and includes the possibility of applying sanctions. Finally, the article concludes that China’s options with regards to the treatment of environment and labor concerns in its free trade agreements aligns with both its domestic governance approach and its approach to international cooperation.

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

This dissertation examines the critical need to continuously update the international tax law against tax avoidance: “status quo” and perspectives for development of the current regime. Employing a doctrinal methodological approach, the research first seeks to uncover the most common forms of international tax avoidance through an extensive literature review. This crucial step provides invaluable insights into the diverse strategies and mechanisms utilized by individuals and businesses to circumvent taxation on a global scale. The dissertation then proceeds to examine how current international tax law addresses the identified forms of tax avoidance. This implies a multi-faceted analysis, including an identification of the relevant international norms and treaties, and an exploration of the main sources of international tax law and their practical application. Recognizing the dynamic nature of the global tax landscape, the dissertation also provides perspectives for the future development of international tax law to better address the challenge of tax avoidance. By thoroughly examining the strengths and limitations of the current international tax law regime, the dissertation offers recommendations for potential improvements to the application of international tax avoidance conventions. The findings of this comprehensive study contribute to the broader understanding of international tax avoidance and its regulation within the framework of international law. The research questions and objectives serve as a guiding framework, enabling a thorough analysis that can inform practitioners, and scholars engaged in the ongoing discourse surrounding global taxation and its implications for economic fairness and transparency

With the rapid expansion of mobile e-commerce, an increasing number of businesses have jumped into the fray in all facets of the mobile electric commerce industry chain. The payment link is the most competitive. From the norm in the sector to the consumer market, telecom operator rivalry, as well as third-party payment between different companies, never ceases. In the context of mobile e-commerce, however, competition has shifted from traditional product-centered to customer- centered, and business success frequently rests on the customer. As a result, the competition in the mobile e-commerce payment industry is essentially about competing for users. Mpay is characteristic of mobile e-commerce payment firm representatives; on the basis of theoretical analysis, combined with the reality of the economic background, the study chose Mpay mobile payment users as research subjects and analyzed the major variables of user acceptability. The model was built on the basis of an extensive evaluation of past research results of user acceptance model and reference to UTAUT model. The model considered performance expectancy, effort expectancy, and social influence, facilitating condition as independent variables determining user behavior intention, Based on the conceptual model, the paper conducted an empirical investigation as a case study of a Mpay mobile payment user using data from a questionnaire, while also conducting a separate discussion of the impact of perceived risk and trust on user acceptance. The empirical results indicate that for mobile payment users, performance expectancy has the greatest positive effect on behavior intention, while facilitating conditions, social influence, perceived risk, effort expectancy, and trust have no effect. In addition, gender and age were discovered to influence user acceptance