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Macau, Macau Business, MAG, MB, MB Featured, Opinion | Just when diversification is the name of the game in Macau, and with the manifold benefits of diversity that internationals can bring, how sensible is it to treat its international non-resident workers so poorly, and with lamentable transparency and accountability?

The aim of this study is to examine the online learning experiences of university students with Special Educational Needs (SEN), and how their experiences might differ from their typically developing peers. Fifty typically developing students (mean age = 22; 29 females) and 31 students with SEN (mean age = 22; 15 females) from a local

This thesis mainly discusses and compares the human rights situation and the problems in China, the USA and the UK. Also, the thesis will give the solution of how to make the world's human rights situation more fairly. Because we sometimes listen to these countries use cruel ways to suppress the opponents from the news. So I think this will be very suitable for understanding the current human rights situation, problems and movements in these countries. This thesis mainly uses the secondary data analysis method to collect and analyse the data. After analysing the data, three main issues affecting human rights were identified. These issues are race, religion, and network privacy. Other important factors still influence human rights, but this dissertation focused on the three issues identified. Finally, I will give two to three recommendations to practice human rights more fairly. Although the step will be very small, we can greatly improve the fair human rights in the future

This research study explores the corporate communication strategies and media shifts adopted by large enterprises in Macau during the COVID-19 pandemic and post-pandemic era. Taking SJM Resorts, a large enterprise roots in Macau for over 60 years, as an example to analyze the shift and changes in its corporate communication practices and media usage during the pandemic and post-pandemic era. Moreover, recent literatures on related topic were reviewed to support this research. The researcher invited eight leaders from the case study to conduct semi-structured interviews for qualitative analysis, whilst to distribute 500 e-questionnaire surveys to public for collecting empirical data for quantitative analysis. Issues such as the proportion of offline and online media usage and corporate communication and media strategies and impacts were raised. The study result provides theory and practice reviews for related academic fields. Since there are relatively few research reviews on enterprises’ corporate communication and media landscape during the pandemic and the post-pandemic era at recent stage, this study can fill this gap, provide new research results to the related field as well as enrich the current literature database in related fields

The aim of this study is comparing the jurisdiction of the National Security Law in Hong Kong SAR and Macau SAR, also reviewing the practical implementation of the law in the two SARs, analyzing the Chinese government's participation in the governance of national security in two SARs, and exploring the future sustainability of National Security Law in two SARs

This study delves into the television news practices of TDM (Teledifusão de Macau, S.A.) and TVS (Televisão Santomense) over the past five years (2018-2023), using a systematic approach, this research begins with an introduction outlining the broadcasters' contexts and influences. A content analysis of a representative sample of news programs from both channels forms the core of the study. To gain deeper insights, the research employs a mixed methodological approach. Qualitative data is gathered through interviews with the chief journalist of TVS and 150 residents from Água Grande and Cauê Districts (Angolares ). Additionally, a quantitative analysis is conducted through an online survey targeting the Community of Portuguese-speaking Countries in Macao, garnering 150 responses. The findings highlight the need for improvements to increase viewership. While both broadcasters cover similar news topics (politics, economics, social issues), their presentation styles differ. TDM and TVS adopt a formal and structured approach, but their visual storytelling techniques reflect cultural and regional preferences. The study then interprets the results, examining historical context, cultural influences, and audience preferences to understand the divergent approaches to television journalism. This comprehensive analysis provides valuable insights to enhance news viewership and offers a deeper understanding of the factors shaping television journalism in these two distinct contexts

The aim of this study is to analyze the crisis management of Macao SAR and the extent to which the community were engaged in the COVID-19 pandemic prevention and control. There are some issues found that when the pandemic breaks out and after outbreaks, such as poor information communication, low efficiency of prevention and control work, unsatisfactory compliance of the public, lack of pandemic prevention materials which affect the government's control of the pandemic in the past study. In Macao SAR, densely residential areas and dense population are the main considerations for pandemic prevention and control. Communities, as the main first line of defense for pandemic prevention and control, are also the bridge for communication between the government and the residents. The community have the advantages of timely and accurate information collection and accurate implementation of prevention and control measures. In this study found that the involvement of the Macao community may not be the key to the success of epidemic prevention in Macao. Community participation also faces many challenges, such as uneven distribution of facilities and services, lack of medical expertise of community workers, shortage of manpower and other shortcomings of community participation. It is possible that the Macao community is not playing a key role in the COVID-19 pandemic prevention and control. Given this scenario, the government needs to give full play to social forces and the role of the community in pandemic prevention and control. Currently, there are few studies on community involvement in COVID-19 prevention and control. Through COVID-19, this study puts forward some ideas that the government needs to pay attention to community development and improve citizens' community awareness to promote the Macao community. Improving the Macao community is conducive to Macao in the future crisis and community cooperation

In the paper carried out by Wenjun et al. [Phys. Rev. A 95, 032124 (2017)], a generalization of the James effective dynamics theory based on a first version of the James method was presented. However, we contend that this is not a very rigorous way of deriving the effective third-order expansion for an interaction Hamiltonian with harmonic time-dependence. In fact, here we show that the third-order Hamiltonian obtained by Wenjun et al. is not Hermitian for general situations when we consider time dependence. Its non-Hermitian nature arises from the foundation of the theory itself. In this comment paper, the most general expression of the effective Hamiltonian expanded up to third order is obtained. Our derived effective Hamiltonian is Hermitian even in situations where we have time dependence.

Launonen and Mullins argue that if Classical Theism is true, human cognition is likely not theism-tracking, at least, given what we know from cognitive science of religion. In this essay, we develop a model for how classical theists can make sense of the findings from cognitive science, without abandoning their Classical Theist commitments. We also provide an argument for how our model aligns well with the Christian doctrine of general revelation.

Source-based summary writing is an important aspect of academic writing at the undergraduate level; it includes summarizing and paraphrasing when producing texts in essay, report, or thesis formats. For university students whose second language or foreign language is English, source-based writing can be a challenging task as it involves and requires complex cognitive processes as well as reading-and-writing demands. Organized into three phases, this mixed method, small-scale exploratory feasibility case study investigated: (i) challenges and difficulties in online and offline English source-based summary writing of English as a Foreign Language (EFL) university students in Macao, identifying the cognitive and writing processes they experienced in a timed reading-writing task; and (ii) how to design and conduct interventions that could be used to diagnose, assess, and address essay challenges in source-based summary essay writing in everyday classroom sessions. Quantitative and qualitative data were collected through a summary online writing essay using Inputlog, a keystroke logging software, and retrospective think-aloud protocol in Phase One, a source-based summary essay writing task in a quasi-experiment in Phase Two, and a survey questionnaire and error analysis of pre-test and post-test essays of the control and experimental groups in Phase Three. The processes of reading and writing in English were found to be challenging and complex for EFL university students to perform in a limited time. As an initial exploratory feasibility, efficacy trial, deliberately small scale to address issues of risk, this study found that the diagnostic assessment tools and interventions had the potential to improve the summary writing processes and proficiency of EFL students, focusing on their cognitive writing skills in everyday class sessions. The thesis recommends scaling up the research in future studies, in terms of sampling and the duration of interventions designed to improve source-based summary essay writing and the cognitive writing processes that are part of this

In this essay we argue that, based on current scientific data, the most prudential course of future actions that an American conservative can take, is one that assumes what we call climate change alarmism. In order to establish this thesis, we first provide a basic overview of the relevant climate change science, as well as give an analysis of the alarmist and lukewarming dialectic (the two primary interpretations of the data). We then move to develop our environmental wager. Finally, following Roger Scruton, we end this work by proposing what sort of policies conservatives should endorse going further.

The continuous development of robust machine learning algorithms in recent years has helped to improve the solutions of many studies in many fields of medicine, rapid diagnosis and detection of high-risk patients with poor prognosis as the coronavirus disease 2019 (COVID-19) spreads globally, and also early prevention of patients and optimization of medical resources. Here, we propose a fully automated machine learning system to classify the severity of COVID-19 from electrocardiogram (ECG) signals. We retrospectively collected 100 5-minute ECGs from 50 patients in two different positions, upright and supine. We processed the surface ECG to obtain QRS complexes and HRV indices for RR series, including a total of 43 features. We compared 19 machine learning classification algorithms that yielded different approaches explained in a methodology session.

COVID-19 is a respiratory disorder caused by CoronaVirus and SARS (SARS-CoV2). WHO declared COVID-19 a global pandemic in March 2020 and several nations’ healthcare systems were on the verge of collapsing. With that, became crucial to screen COVID-19-positive patients to maximize limited resources. NAATs and antigen tests are utilized to diagnose COVID-19 infections. NAATs reliably detect SARS-CoV-2 and seldom produce false-negative results. Because of its specificity and sensitivity, RT-PCR can be considered the gold standard for COVID-19 diagnosis. This test’s complex gear is pricey and time-consuming, using skilled specialists to collect throat or nasal mucus samples. These tests require laboratory facilities and a machine for detection and analysis. Deep learning networks have been used for feature extraction and classification of Chest CT-Scan images and as an innovative detection approach in clinical practice. Because of COVID-19 CT scans’ medical characteristics, the lesions are widely spread and display a range of local aspects. Using deep learning to diagnose directly is difficult. In COVID-19, a Transformer and Convolutional Neural Network module are presented to extract local and global information from CT images. This chapter explains transfer learning, considering VGG-16 network, in CT examinations and compares convolutional networks with Vision Transformers (ViT). Vit usage increased VGG-16 network F1-score to 0.94.