Your search
Results 2,138 resources
-
To what extent is students' understanding of computer science culturally situated? This, possibly philosophical question, has come to the surface at Uppsala University, Uppsala, Sweden, where many Chinese students study computer science together with the local students. We did an exploratory study using email interviews to see if our intuitions could be relied on. We collected data from Chinese students studying in master programs and analysed the data using a phenomenographic perspective. A complex intertwined relationship between the content of their learning (the WHAT), the ways in which they went about studying (the HOW), the aims of their studies (the WHY), and the competencies developed from the intercultural context they studied in (the WHERE) was observed. In this paper we offer some insights from the results of the pilot study and discuss how they have shaped our on-going study in the field.
-
This paper presents an algorithm that applies metrics derived from automatic QRS detection and segmentation in electrocardiogram signals for analyzing Heart Rate Variability to study the evolution of metrics in the frequency domain of a clinical procedure. The analysis was performed on three sets of elderly people, who are categorized according to frailty phenotype. The first set was comprised of frail elderly, the second pre-frail elderly, and the third robust elderly. Investigators from many disciplines have been encouraged to contribute to the understanding of molecular and physiological changes in multiple systems that may increase the vulnerability of frail elderly. In this work, the frailty phenotype can be characterized by unintentional weight loss, as self-reported, fatigue assessed by self-report, grip strength (measured directly), physical activity level assessed by self-report and gait speed (measured). The results obtained demonstrate the existence of significant differences between Heart Rate Variability metrics for the three groups, especially considering a higher preponderance for sympathetic nervous system for the group of robust patients in response to postural maneuver.
-
This dissertation is a comprehensive academic examination of the characteristics and complex historical progress within the Pentecostal and Charismatic Movement in Macau Protestant Churches. Since Macau hosted the first Pentecostal and Charismatic missionary, Thomas J. McIntosh, who entered China in 1907, the history of the Pentecostal and Charismatic Movement in Macau lacks a consistent and synthesized research until now. Thus, primary and secondary resources have been analyzed and reconstructed and historically interpreted to gain a better and deeper understanding of the emergence and development of the Pentecostal and Charismatic Movement within Macau’s Protestant Churches from the beginning up to the present day. This academic review makes an important contribution to Macau with respect to its historical development and will fill the gap in knowledge within the Global church history of the Pentecostal and Charismatic Movement. Key Words: Charismatic, Christianity in China, History of Missionaries in China, Macao, Macau, Pentecostalism, Protestant, T. J. McIntosh
-
Text classification is an important topic in natural language processing, with the development of social network, many question-and-answer pairs regarding health-care and medicine flood social platforms. It is of great social value to mine and classify medical text and provide targeted medical services for patients. The existing algorithms of text classification can deal with simple semantic text, especially in the field of Chinese medical text, the text structure is complex and includes a large number of medical nomenclature and professional terms, which are difficult for patients to understand. We propose a Chinese medical text classification model using a BERT-based Chinese text encoder by N-gram representations (ZEN) and capsule network, which represent feature uses the ZEN model and extract the features by capsule network, we also design a N-gram medical dictionary to enhance medical text representation and feature extraction. The experimental results show that the precision, recall and F1-score of our model are improved by 10.25%, 11.13% and 12.29%, respectively, compared with the baseline models in average, which proves that our model has better performance.
-
The Mesozoic gold deposits in the North China Craton (NCC) were hosted by the Precambrian basement and Mesozoic intrusions. Thus, most researchers consider that these gold deposits were genetically linked to the Mesozoic intrusions. However, we suggest that a metamorphic devolatilization model provides an alternative based on a combined Fe and in-situ S isotopes study on auriferous pyrites from the Baiyun gold deposit in the NCC. The Triassic Baiyun gold deposit contains the quartz vein and altered rock ores that were developed in the Paleoproterozoic metavolcanic-sedimentary rocks (the Liaohe Group). Our in-situ S isotopic analyses show that pyrites from the quartz vein ores are characterized by negative δ34S values (-10.7 ∼ -5.5‰), while those from the altered rock ores have two distinct groups of δ34S values, one being positive (+13.5 ∼ +16.2‰) and the other negative (-10.6 ∼ -3.0‰). We suggest that pyrite grains with positive δ34S values should be relicts from the host rocks, because they show comparable δ34S values with those from the host rocks schists (+3.3 ∼ +16.1‰). Thus, only the negative δ34S values of pyrites in ores (-10.7 ∼ -3.0‰) and the Fe isotopes of the quartz vein ores (δ56Fe = +0.30 ∼ +0.48‰) can represent the isotopic characteristics of ore-forming fluids at Baiyun. Our study shows that the sulfur were probably from the pyritic volcanic-sedimentary sequences of the Liaohe Group, rather than from magmas. The calculated δ56Fe values of the ore-forming fluids (-0.78 ∼ -0.37‰; pyrite-fluid isotope fractionation) could be modelled in a metamorphic devolatilization model with Fe-species (pyrite&magnetite) of the Liaohe Group as sources. Therefore, our combined S- and Fe- isotope data indicate that the metamorphic devolatilization of the Liaohe Group could account for the genesis of the Baiyun gold deposit.
-
Drama-in-Education (DiE) has been recognised as a valuable teaching pedagogy in the western world for decades, and yet it has not been fully or systematically adopted in the secondary English classes in Asian contexts, including Macau, despite the numerous reported advantages for English language teaching (ELT) in the past studies. This study explores Macau’s secondary school English teachers’ perceptions of utilising DiE in their classes. A mixed-methods research (MMR) approach was adopted in this study, consisting of three phases. First, pre-survey interviews were conducted to understand the potential major concerns about the choices of teaching approaches and the application of DiE of Macau’s secondary school English teachers. Subsequently, a questionnaire survey targeting local secondary school English teachers was administered, the results of which were cross-examined by, and integrated with, the results of two post-survey group interviews. While the results affirm the local secondary school English teachers’ positive view on DiE as an ELT pedagogy and identify their perceived advantages of DiE, the study indicates the over-determination of multi-faceted challenges to its implementation in Macau’s secondary education context. The study identifies and recommends necessary substantial changes to further the application of DiE in Macau’s secondary education milieu
-
Investor sentiment and emotions have a strong impact on financial markets. In recent years there has been increasing interest in analyzing the sentiment of investors for stock price prediction using machine learning. Existing prediction models mostly depend on the analysis of trading data and company profit. few prediction theories have been built based on individual investors' sentiments. The fundamental reason is the difficulty to measure individual investors' sentiment.
-
Recently, a lot of Chinese patients consult treatment plans through social networking platforms, but the Chinese medical text contains rich information, including a large number of medical nomenclatures and symptom descriptions. How to build an intelligence model to automatically classify the text information consulted by patients and recommend the correct department for patients is very important. In order to address the problem of insufficient feature extraction from Chinese medical text and low accuracy, this paper proposes a dual channel Chinese medical text classification model. The model extracts feature of Chinese medical text at different granularity, comprehensively and accurately obtains effective feature information, and finally recommends departments for patients according to text classification. One channel of the model focuses on medical nomenclatures, symptoms and other words related to hospital departments, gives different weights, calculates corresponding feature vectors with convolution kernels of different sizes, and then obtains local text representation. The other channel uses the BiGRU network and attention mechanism to obtain text representation, highlighting the important information of the whole sentence, that is, global text representation. Finally, the model uses full connection layer to combine the representation vectors of the two channels, and uses Softmax classifier for classification. The experimental results show that the accuracy, recall and F1-score of the model are improved by 10.65%, 8.94% and 11.62% respectively compared with the baseline models in average, which proves that our model has better performance and robustness.
-
The number of tourist attractions reviews, travel notes and other texts has grown exponentially in the Internet age. Effectively mining users’ potential opinions and emotions on tourist attractions, and helping to provide users with better recommendation services, which is of great practical significance. This paper proposes a multi-channel neural network model called Pre-BiLSTM combined with a pre-training mechanism. The model uses a combination of coarse and fine- granularity strategies to extract the features of text information such as reviews and travel notes to improve the performance of text sentiment analysis. First, we construct three channels and use the improved BERT and skip-gram methods with negative sampling to vectorize the word-level and vocabulary-level text, respectively, so as to obtain more abundant textual information. Second, we use the pre-training mechanism of BERT to generate deep bidirectional language representation relationships. Third, the vectors of the three channels are input into the BiLSTM network in parallel to extract global and local features. Finally, the model fuses the text features of the three channels and classifies them using SoftMax classifier. Furthermore, numerical experiments are conducted to demonstrate that Pre-BiLSTM outperforms the baselines by 6.27%, 12.83% and 18.12% in average in terms of accuracy, precision and F1-score.
-
Neuropeptides are a group of neuronal signaling molecules that regulate physiological and behavioral processes in animals. Here, we used in silico mining to predict the polypeptide composition of available transcriptomic data of Turbinaria peltata. In total, 118 transcripts encoding putative peptide precursors were discovered. One neuropeptide Y/F-like peptide, named TpNPY, was identified and selected for in silico structural, in silico binding, and pharmacological studies. In our study, the anti-inflammation effect of TpNPY was evaluated using an LPS-stimulated C8-D1A astrocyte cell model. Our results demonstrated that TpNPY, at 0.75–3 μM, inhibited LPS-induced NO production and reduced the expression of iNOS in a dose-dependent manner. Furthermore, TpNPY reduced the secretion of proinflammatory cytokines. Additionally, treatment with TpNPY reduced LPS-mediated elevation of ROS production and the intracellular calcium concentration. Further investigation revealed that TpNPY downregulated the IKK/IκB/NF-κB signaling pathway and inhibited expression of the NLRP3 inflammasome. Through molecular docking and using an NPY receptor antagonist, TpNPY was shown to have the ability to interact with the NPY Y1 receptor. On the basis of these findings, we concluded that TpNPY might prevent LPS-induced injury in astrocytes through activation of the NPY-Y1R.
Explore
USJ Theses and Dissertations
-
Doctorate Theses
(66)
- Faculty of Art and Humanities (12)
- Faculty of Business and Law (14)
-
Faculty of Health Sciences
(2)
- Psychology (2)
- Faculty of Religious Studies and Philosophy (5)
- Institute for Data Engineering and Science (3)
-
Institute of Science and Environment
(10)
- Science (10)
-
School of Education
(20)
- Education (20)
-
Master Dissertations
(1,136)
-
Faculty of Arts and Humanities
(121)
- Architecture (8)
- Choral Conducting (10)
- Communication and Media (42)
- Design (25)
- History and Heritage Studies (28)
- Information System (3)
- Lusophone Studies in Linguistics and Literature (8)
- Faculty of Business and Law (514)
-
Faculty of Health Sciences
(207)
- Counselling and Psychotherapy (163)
- Organisational Psychology (23)
- Social Work (20)
-
Faculty of Religious Studies and Philosophy
(25)
- Philosophy (13)
- Religious Studies (12)
- Institute of Science and Environment (28)
-
School of Education
(244)
- Education (244)
-
Faculty of Arts and Humanities
(121)
Academic Units
- Domingos Lam Centre for Research in Education (1)
-
Faculty of Arts and Humanities
(261)
- Adérito Marcos (9)
- Álvaro Barbosa (32)
- Carlos Caires (15)
- Daniel Farinha (2)
- Denis Zuev (4)
- Filipa Martins de Abreu (11)
- Filipa Simões (2)
- Filipe Afonso (12)
- Francisco Vizeu Pinheiro (10)
- Gérald Estadieu (21)
- José Simões (40)
- Nuno Rocha (2)
- Nuno Soares (44)
- Olga Ng Ka Man, Sandra (7)
- Priscilla Roberts (4)
- Tania Marques (2)
-
Faculty of Business and Law
(205)
- Alessandro Lampo (21)
- Alexandre Lobo (90)
- Angelo Rafael (3)
- Douty Diakite (15)
- Emil Marques (2)
- Florence Lei (14)
- Ivan Arraut (17)
- Jenny Phillips (14)
- Sergio Gomes (2)
-
Faculty of Health Sciences
(40)
- Angus Kuok (17)
- Cynthia Leong (1)
- Helen Liu (1)
- Maria Rita Silva (1)
- Vitor Santos Teixeira (10)
-
Faculty of Religious Studies and Philosophy
(93)
- Andrew Leong (6)
- Cyril Law (11)
- Edmond Eh (6)
- Fausto Gomez (1)
- Franz Gassner (10)
- Jaroslaw Duraj (9)
- Judette Gallares (3)
- Stephen Morgan (18)
- Thomas Cai (4)
-
Institute for Data Engineering and Sciences
(29)
- George Du Wencai (23)
- Liang Shengbin (9)
-
Institute of Science and Environment
(122)
- Ágata Alveirinho Dias (39)
- Chan Shek Kiu (8)
- David Gonçalves (28)
- Karen Tagulao (17)
- Raquel Vasconcelos (11)
- Sara Cardoso (5)
- Shirley Siu (9)
- Thomas Lei (8)
- Wenhong Qiu (1)
-
Library
(3)
- Emily Chan (3)
-
Macau Ricci Institute
(17)
- Jaroslaw Duraj (4)
- Stephen Rothlin (13)
-
School of Education
(185)
- Elisa Monteiro (7)
- Hao Wu (5)
- Isabel Tchiang (2)
- Keith Morrison (85)
- Kiiko Ikegami (3)
- Miranda Chi Kuan Mak (11)
- Rochelle Ge (19)
- Susannah Sun (6)
Resource type
- Blog Post (3)
- Book (59)
- Book Section (128)
- Conference Paper (135)
- Document (4)
- Encyclopedia Article (1)
- Film (1)
- Journal Article (418)
- Magazine Article (17)
- Manuscript (1)
- Newspaper Article (34)
- Preprint (4)
- Presentation (63)
- Radio Broadcast (5)
- Report (62)
- Thesis (1,201)
- TV Broadcast (1)
- Web Page (1)
United Nations SDGs
- 01 - No Poverty (1)
- 02 - Zero Hunger (1)
- 03 - Good Health and Well-being (33)
- 04 - Quality Education (17)
- 05 - Gender Equality (1)
- 07 - Affordable and Clean Energy (3)
- 08 - Decent Work and Economic Growth (6)
- 09 - Industry, Innovation and Infrastructure (25)
- 10 - Reduced Inequalities (1)
- 11 - Sustainable Cities and Communities (11)
- 12 - Responsable Consumption and Production (6)
- 13 - Climate Action (8)
- 14 - Life Below Water (18)
- 15 - Life on Land (4)
- 16 - Peace, Justice and Strong Institutions (2)
- 17 - Partnerships for the Goals (1)
Cooperation
Student Research and Output
- Faculty of Business and Law (4)
-
School of Education
(4)
- Áine Ní Bhroin (1)
- Emily Chan (3)
Publication year
-
Between 2000 and 2024
- Between 2000 and 2009 (155)
- Between 2010 and 2019 (963)
- Between 2020 and 2024 (1,020)