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In government studies, electronic government has become a hot topic in recent decades. Many scholars believe that soon, the government might not be able to operate smoothly without the help of ICTs as the Internet has been overwhelming people's daily lives already. In analyzing people's behavioral factors towards adopting e-government services, most studies targeted the adult population, while those in the hard-to-reach groups are minimal. This study was designed especially to understand the behavioral factors of the younger generation aged between 18 and 24 and the senior citizens above 60 on their adoption of e-government services in Macao SAR. Sixteen in-depth interviews were conducted based on the semi-structured interview questions developed from the prior literature on the Theory of Planned Behavior and e-government studies. Six significant findings are yielded, which could serve as an important reference for policymakers designing e-government policy and promoting its implementation strategy. These behavioral factors also contribute empirical data to support the theoretical framework of TPB in the context of Macao SAR e-government services.

As the number of students with diverse learning needs continues to rise in Macau, teachers face numerous challenges in addressing individual differences in the classroom. This research aims to explore the awareness and implementation of differentiation instruction among Macau primary school teachers, as well as the challenges encountered in its practice. Differentiation instruction is an instructional approach that seeks to cater to the individual learning needs of students by adapting teaching methods, content, and assessment strategies. It involves recognizing and responding to the readiness, interest, and learning profile of students within a classroom. This study employs a mixed-methods approach, primarily utilizing questionnaires to assess the knowledge and skills of Macau primary school teachers in both regular and inclusive classrooms regarding differentiation instruction. Additionally, semi-structured interviews will be conducted with a purposive sample of eight professional Macao primary school teachers who have implemented differentiation instruction. The findings were organized and analyzed, revealing as follows: （1） Macau Primary School Teachers' Knowledge and Skills in Differentiated Instruction: The motivation of Macau primary school teachers to receive training in differentiated instruction is relatively low. However, most teachers have gained a basic understanding of the definition and concept of differentiated instruction through participation in professional development courses and school training. Teachers also accumulate experience in teaching practice, enhancing their ability to implement differentiated instruction. （2） Models of Differentiated Instruction Implementation by Macau Primary School Teachers: Macau primary school teachers primarily reflect students' learning profile through basic background information, classroom observation, and reviewing assignments and tests. When designing teaching content, teachers adjust according to learning profile, personal interests, and readiness, aligning with the differentiated instruction practices. （3） Macau Primary School Teachers' Attitudes Toward Implementing Differentiated Instruction: Most Macau primary school teachers have a positive attitude towards differentiated instruction, agreeing that adjusting teaching according to individual student needs can enhance learning outcomes and motivation. However, they face numerous challenges during implementation. （4） Challenges Faced by Macau Primary School Teachers in Implementing Differentiated Instruction: The educational policies in Macau pose challenges to the implementation of differentiated instruction. Schools lack clear guidelines, teachers face heavy workloads, have limited knowledge and experience in differentiated instruction, parents have insufficient understanding of the concept and purpose of differentiated instruction, and unbalanced educational resource limit its effective implementation. （5） Favorable Conditions for the Development of Differentiated Instruction: Positive progress in the allocation of human resources, resource distribution, and tiered assessments in schools, as well as cooperation between families and schools, has promoted the successful implementation of differentiated instruction. Based on the research findings, specific recommendations are provided offer recommendations to optimize teaching effectiveness and better address the diverse learning needs of students, ultimately ensuring optimal learning outcomes. 隨着本澳有着不同學習需要的學生的數量漸增，教師在課堂上面對不少困難與挑戰，因此教師關顧學生間個別差異不容忽視。本研究旨在瞭解澳門小學教師對於差異化教學概念的認知程度、如何作教學實踐，及當中遇到的問題。 根據研究目的，本研究以「詮釋主義」作理論框架，採用混合研究法，「以質性研究為主，量化研究為輔」，先以問卷調查瞭解本澳小學普通班和融合班教師對差異化教學的知識與技能，繼而透過半結構訪談法，並經立意採樣，選取曾實踐差異化教學的小學教師進行訪談，整理和分析研究結果顯示： （1） 本澳小學教師對差異化教學的知能程度：澳門小學教師對差異化教學的培訓動機較低。通過參加專業發展課程和校本培訓，大多數教師對差異化教學的定義和概念有一定程度的掌握。教師亦可在教學實踐中累積經驗，提升實施差異化教學的能力。 （2） 本澳小學教師實施差異化教學的模式：澳門小學教師查閱學生的基本背景資料、觀察課堂學習進度，以及通過批改作業和測試檢視學生能力，主要反映學生的學習水平。教師在設計教學內容時，根據學習風格、個人興趣和學習準備度進行調整，符合差異化教學實踐形式。 （3） 本澳小學教師對實施差異化教學的態度：多數澳門小學教師對差異化教學持積極態度，認同根據學生個別需求進行教學調整能提升學習效果和動機，但在實施過程中面臨諸多挑戰。 （4） 本澳小學教師在實施差異化教學時面對的困難：澳門的教育政策對差異化教學實施造成阻力，學校缺乏清晰的指導方針，教師面臨繁重的工作負擔，教師對差異化教學的知識與經驗有限、家長對差異化教學的概念與目的理解不夠，和有限的教學環境和統一教材，限制了差異化教學的有效實施。 （5） 有利發展差異化教學條件：學校在人力資源配置、資源調配和評估分層等方面的積極進展，以及家庭與學校的密切合作，推動了差異化教學的成功實施。 基於研究結果，提出具體建議，從而讓本澳的教育工作者有所參考，使得學生能獲得最適合的學習方式。

Vietnamese migrant workers in Macao encounter numerous difficulties that significantly impact both their mental well-being and overall health. Daily life can be challenging due to language barriers, cultural differences, workplace stress, and financial hardships. Through an exploratory quantitative approach, this study examines these challenges in greater detail, collecting data from 268 participants, the majority of whom—93.7%—are women. Psychological assessment tools were employed to evaluate resilience, coping strategies, coping mechanisms, and levels of stress, anxiety, and depression. The findings indicate that despite working full-time, many participants receive low wages, live in inadequate conditions, and have limited access to healthcare services. A significant portion of Vietnamese migrant workers send money home to support their families, creating substantial financial pressure. Long working hours, difficulties in communication, and job-related insecurities contribute to mental distress. However, rather than seeking professional counselling, most individuals rely on informal social networks for emotional support. In conclusion, the study emphasizes the pressing need for more robust support systems, enhanced mental health resources, and improved workplace policies to aid in the social integration and well-being maintenance of these workers. Furthermore, it encourages future research to incorporate a greater number of male participants and qualitative data in order to gain a more thorough understanding of their experiences.

Theories and models try to describe the complexity of how people embrace and make use of innovations. The determinants of behavior concerning battery electric vehicles (BEVs) have traditionally revolved around factors such as vehicles’ price and range. Surprisingly, despite being small and one of the wealthiest territories in the world, Macau SAR faces challenges in BEV market penetration, underscoring the need to explore alternative causes of behavioral intention. To explain the adoption of technologies, this paper focuses on technology show-off (TS), which combines Rogers’ (2003) concepts of visibility and trialability of technology in a single construct as a determinant of behavioral intention. Therefore, when individuals perceive technology as more visible and available for trial, their behavioral intention to adopt it strengthens. Using structural equation modeling for quantitative analysis, this study examines the significance of TS in terms of the intention to adopt battery electric vehicles. The findings highlight the salience of the technology show-off construct in explaining behavioral intention, underscoring its significance in the context of modern society’s characteristics. This study contributes to advances in understanding technology acceptance and highlights the importance of incorporating experiential aspects (such as TS) into the traditional technology acceptance models.

Reproduction of the sea cucumber Apostichopus japonicus is critical for aquaculture production. Gonadal development is the basis of reproduction, and lipids, which are among the main nutrients required for gonadal development, directly affect reproduction. We investigated whether gonadal and intestinal lipid metabolism differed between male and female A. japonicus. Transcriptome analysis of the intestines of sexually mature male and female wild-caught individuals revealed differences in gene expression, with 27 and 39 genes being up-regulated in females and males, respectively. In particular, the expression of the fatty acid synthase gene was higher in males than in females. Metabolome analysis of the gonads identified 141 metabolites that were up-regulated and 175 metabolites that were down-regulated in the testes compared with the ovaries in the positive/negative mode of an LC-MS/MS analysis. A variety of polyunsaturated fatty acids were found at higher concentrations in the testes than in the ovaries. 16 s rDNA sequencing analysis showed that the composition and structure of the intestinal microbiota were similar between males and females. These results suggest that sex differences in intestinal metabolism of A. japonicus are not due to differences in the microbiota, and we speculate that gonadal metabolism may be related to intestinal morphology. This information might be useful in improving the reproductive efficiency of sea cucumbers in captivity.

Abstract Much controversy has occurred in the past few decades regarding the nature of the sources, the petrogenetic processes, and the tectonic regime(s) of the Jurassic magmatism within the Southeast China magmatic belt. This study aims to contribute to the discussion with mineral chemistry, and whole-rock element and Sr-Nd-Hf-Pb isotopic geochemical data from granitic rocks and microgranular mafic enclaves from Macao, where two discrete groups of I-type biotite granites have been identified (referred to as Macao Group I [MGI] and Macao Group II [MGII]). It is proposed that the granitic magmas were generated by partial melting of infracrustal medium- to high-K, basaltic Paleoproterozoic to Mesoproterozoic protoliths (Nd depleted mantle model age [TDM2] = 1.7–1.6 Ga and Hf TDM2 = 1.8–1.6 Ga), triggered by underplating of hot mantle-derived magmas in an extensional setting related to the foundering of a previously flat slab (paleo–Pacific plate) beneath the SE China continent. The main differences between the two groups of Macao granites are attributed to assimilation and fractional crystallization processes, during which upper-crustal Paleozoic metasediments were variably assimilated by MGI magmas. This is evidenced by an increase in initial 87Sr/86Sr ratios with degree of evolution, presence of metasedimentary enclaves, and high percentage of zircon xenocrysts with Paleozoic ages. In addition, other processes like late-stage fluid/melt interaction and magma mixing also left some imprints on granite compositions (rare earth element tetrad effect plus non–charge-and-radius-controlled behavior of trace elements and decoupling between different isotope systems, respectively). The distribution of isotopically distinct granites in SE China reflects the nature of the two Cathaysia crustal blocks juxtaposed along the Zhenghe-Dapu fault.

It is plausible to assume that the component waves in ECG signals constitute a unique human characteristic because morphology and amplitudes of recorded beats are governed by multiple individual factors. According to the best of our knowledge, the issue of automatically classifying different ’identities’ of QRS morphology has not been explored within the literature. This work proposes five alternative mathematical models for representing different QRS morphologies providing the extraction of a set of features related to QRS shape. The technique incorporates mechanisms of combining the mathematical functions Gaussian, Mexican-Hat and Rayleigh probability density function and also a mechanism for clipping the waveform of those functions. The searching for the optimal parameters which minimize the normalized RMS error between each mathematical model and a given QRS search window enables to find an optimal model. Such modeling behaves as a robust alternative for delineating heartbeats, classifying beat morphologies, detecting subtle and anomalous changes, compression of QRS complex windows among others. The validation process evaluates the ability of each model to represent different QRS morphology classes within 159 full ECG signal records from QT database and 584 QRS search windows from MIT-BIH Arrhythmia database. From the experimental results, we rank the winning rates for which each mathematical model best models and also discriminates the most predominant QRS morphologies Rs, rS, RS, qR, qRs, R, rR’s and QS. Furthermore, the average time errors computed for QRS onset and offset locations when using the corresponding winner mathematical models for delineation purposes were, respectively, 12.87±8.5 ms and 1.47±10.06 ms.

Climate change is a global issue but its impact can be felt locally. Macau SAR has been rapidly developing since the single shift towards a gaming industry-dominated economy, the overwhelming anthropogenic activities contributing to increasing pollution. Mangroves, which play an essential role as the blue carbon system with a high carbon sequestration rate could be a natural base solution to the pollution. This study aims to determine 1) the total organic Carbon (TOC) in the soil of Macau mangrove sites, 2) comparison with the methodology evaluating the organic Carbon, and 3) organic Carbon comparison between Macau and other regions. Soil sampling were processed under the Blue Carbon Initiative guideline, and the samples were divided into two parts for determining the TOC%, combustion method from Hong Kong, and methodology of ashing in our laboratory. The overall estimated TOC% of Macau mangrove sites was 1.29%. There are still a lot of potentials in Carbon storage and for climate change mitigation in Macau

<jats:p>To comply with the United Nations Sustainable Development Goals (UN SDGs), in particular with SDG 3, SDG 11, and SDG 13, a reliable air pollution prediction model must be developed to construct a sustainable, safe, and resilient city and mitigate climate change for a double win. Machine learning (ML) and deep learning (DL) models have been applied to datasets in Macau to predict the daily levels of roadside air pollution in the Macau peninsula, situated near the historical sites of Macau. Macau welcomed over 28 million tourists in 2023 as a popular tourism destination. Still, an accurate air quality forecast has not been in place for many years due to the lack of a reliable emission inventory. This work will develop a dependable air pollution prediction model for Macau, which is also the novelty of this study. The methods, including random forest (RF), support vector regression (SVR), artificial neural network (ANN), recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), were applied and successful in the prediction of daily air pollution levels in Macau. The prediction model was trained using the air quality and meteorological data from 2013 to 2019 and validated using the data from 2020 to 2021. The model performance was evaluated based on the root mean square error (RMSE), mean absolute error (MAE), Pearson’s correlation coefficient (PCC), and Kendall’s tau coefficient (KTC). The RF model best predicted PM10, PM2.5, NO2, and CO concentrations with the highest PCC and KTC in a daily air pollution prediction. In addition, the SVR model had the best stability and repeatability compared to other models, with the lowest SD in RMSE, MAE, PCC, and KTC after five model runs. Therefore, the results of this study show that the RF model is more efficient and performs better than other models in the prediction of air pollution for the dataset of Macau.</jats:p>

In 2020, the World Health Organization declared the Coronavirus Disease 19 a global pandemic. While detecting COVID-19 is essential in controlling the disease, prognosis prediction is crucial in reducing disease complications and patient mortality. For that, standard protocols consider adopting medical imaging tools to analyze cases of pneumonia and complications. Nevertheless, some patients develop different symptoms and/or cannot be moved to a CT-Scan room. In other cases, the devices are not available. The adoption of ambulatory monitoring examinations, such as Electrocardiography (ECG), can be considered a viable tool to address the patient’s cardiovascular condition and to act as a predictor for future disease outcomes. In this investigation, ten 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) extracted from 2 ECG signals (collected from 2 different patient’s positions). Windows of 1 second segments in 6 ways of windowing signal analysis crops were evaluated employing statistical analysis. Three categories of outcomes are considered for the patient status: Low, Moderate, and Severe, and four combinations for classification scenarios are tested:  (Low vs. Moderate, Low vs. Severe, Moderate vs. Severe) and 1 Multi-class comparison  (All vs. All)). The results indicate that some statistically significant parameter distributions were found for all comparisons.  (Low vs. Moderate—Approximate Entropy p-value = 0.0067 < 0.05, Low vs. Severe—Correlation Dimension p-value = 0.0087 < 0.05, Moderate vs. Severe—Correlation Dimension p-value = 0.0029 < 0.05, All vs. All—Correlation Dimension p-value = 0.0185 < 0.05. The non-linear analysis of the time-frequency representation of the ECG signal can be considered a promising tool for describing and distinguishing the COVID-19 severity activity along its different stages.

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

"Macau's rapid economic development in recent decades and relatively low usage of public transportation have put considerable pressure on the city's carrying capacity. Improving the transportation system has been a major policy goal of Macau's urban planners. To deepen the understanding of the perspectives of local road users, this dissertation's main research question is: what factors determine the satisfaction of local road users of Macau? After collecting responses using an online questionnaire, quantitative research methods were adopted to analyze travel patterns, satisfaction toward different road usage dimensions, and sociodemographic characteristics of local residents. 145 responses were collected and quota samples were generated to match the distribution of each sociodemographic feature of the population. Most respondents used private vehicles to travel during peak hours on weekdays for work or for school and to travel during the entire afternoon and evening on weekends for shopping necessities and for leisure. The most traveled districts were Baixa de Taipa, Costa & Ouvidor Arriaga, and Baixa de Macau. It was found that the mean overall satisfaction score inclined to the dissatisfaction side (below 3). Only clarity of traffic lights and number of road signs (measuring infrastructure) and temperature and price of fares (measuring public transportation) had mean satisfaction scores that were significantly higher than 3, indicating higher satisfactions. Meaningful hypotheses regarding the differences of different road user groups were set out, then Kruskal-Wallis ANOVA tests and Mann-Whitney U tests were run. The significant findings were such that the elderly aged 65 or above were less satisfied and the unemployed were more satisfied with road usage. The better educated were more satisfied with the environment, and the unemployed were more satisfied with the public transportation. Drivers were less satisfied with transportation costs, and peakhour road users were less satisfied with the infrastructure. The Spearman correlation analyses found that infrastructure had moderately positive correlation with facilities and with travel safety. Based on the findings and their policy implications, policy suggestions could be made. The policies suggested in this study should have favorable short-term and long-term effects on more than one road usage aspects."

Macau, Macau Business, MAG, MB, MB Featured, Opinion | Macau used to be very appealing to expatriates from across the world. Its low tax rate (and zero tax for low-paid expatriates), blends of cultures, business opportunities, life style, history, unique features and a host of other attractions fuelled an ongoing supply of foreign nationals to this small, unusual city. It is an interestingly idiosyncratic place in which to live. For many expatriates, Macau has been home, in many cases reaching back more than one generation. This is perhaps unsurprising, as people here are typically exquisitely polite, a delight to be with, and very accepting. Its acceptance of differences in values is an example to countries across the world. Macau is a safe place to live.

Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.

This research used a qualitative approach to explore the environmental, social, and governance (ESG) practices implemented by SME restaurants in Macau. In-depth interviews were conducted with eight (8) SME restaurant owners and managers to understand their ESG initiatives and their challenges. Key findings include: Environmental Initiatives: Many restaurants have adopted practices such as limiting plastic use, better food management, and organic waste recycling, often driven by government regulations rather than broader ESG considerations. Community Engagement and Social Responsibility: Social practices are less adopted, with some restaurants collaborating with charities, hiring individuals with disabilities, and donating food. However, most do not make monetary donations or engage in sponsorship activities due to financial concerns rather than a lack of consumer trust. Governance Initiatives: Restaurants have adopted electronic workflows, risk management practices, and stakeholder management approaches, including a flexible approach to employee management focused on operational efficiency rather than investor attraction. The findings indicate that for SME restaurants, the key drivers for ESG implementation are more focused on factors such as cost-savings and operational efficiency rather than broader considerations around investor interest or consumer trust. This study provides insights into how SME restaurants integrate ESG elements into their operations