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1,873 results on '"Nguyen, Hang"'

1. The doctor will polygraph you now: ethical concerns with AI for fact-checking patients

Author

Anibal, James, Gunkel, Jasmine, Huth, Hannah, Nguyen, Hang, Awan, Shaheen, Bensoussan, Yael, and Wood, Bradford

Subjects
Computer Science - Computers and Society
Abstract

Clinical artificial intelligence (AI) methods have been proposed for predicting social behaviors which could be reasonably understood from patient-reported data. This raises ethical concerns about respect, privacy, and patient awareness/control over how their health data is used. Ethical concerns surrounding clinical AI systems for social behavior verification were divided into three main categories: (1) the use of patient data retrospectively without informed consent for the specific task of verification, (2) the potential for inaccuracies or biases within such systems, and (3) the impact on trust in patient-provider relationships with the introduction of automated AI systems for fact-checking. Additionally, this report showed the simulated misuse of a verification system and identified a potential LLM bias against patient-reported information in favor of multimodal data, published literature, and the outputs of other AI methods (i.e., AI self-trust). Finally, recommendations were presented for mitigating the risk that AI verification systems will cause harm to patients or undermine the purpose of the healthcare system., Comment: 9 pages, 1 figure, 2 tables

Published
2024

2. Voice EHR: Introducing Multimodal Audio Data for Health

Author

Anibal, James, Huth, Hannah, Li, Ming, Hazen, Lindsey, Lam, Yen Minh, Nguyen, Hang, Hong, Phuc, Kleinman, Michael, Ost, Shelley, Jackson, Christopher, Sprabery, Laura, Elangovan, Cheran, Krishnaiah, Balaji, Akst, Lee, Lina, Ioan, Elyazar, Iqbal, Ekwati, Lenny, Jansen, Stefan, Nduwayezu, Richard, Garcia, Charisse, Plum, Jeffrey, Brenner, Jacqueline, Song, Miranda, Ricotta, Emily, Clifton, David, Thwaites, C. Louise, Bensoussan, Yael, and Wood, Bradford

Subjects
Computer Science - Sound, Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Large AI models trained on audio data may have the potential to rapidly classify patients, enhancing medical decision-making and potentially improving outcomes through early detection. Existing technologies depend on limited datasets using expensive recording equipment in high-income, English-speaking countries. This challenges deployment in resource-constrained, high-volume settings where audio data may have a profound impact. This report introduces a novel data type and a corresponding collection system that captures health data through guided questions using only a mobile/web application. This application ultimately results in an audio electronic health record (voice EHR) which may contain complex biomarkers of health from conventional voice/respiratory features, speech patterns, and language with semantic meaning - compensating for the typical limitations of unimodal clinical datasets. This report introduces a consortium of partners for global work, presents the application used for data collection, and showcases the potential of informative voice EHR to advance the scalability and diversity of audio AI., Comment: 19 pages, 2 figures, 7 tables

Published
2024

3. Gα13 restricts nutrient driven proliferation in mucosal germinal centers

Author

Nguyen, Hang T., Li, Moyi, Vadakath, Rahul, Henke, Keirstin A., Tran, Tam C., Li, Huifang, Yamadi, Maryam, Darbha, Sriranjani, Yang, Yandan, Kabat, Juraj, Albright, Anne R., Centeno, Enoc Granados, Phelan, James D., Roulland, Sandrine, Huang, Da Wei, Kelly, Michael C., Young, Ryan M., Pittaluga, Stefania, Difilippantonio, Simone, and Muppidi, Jagan R.

Published
2024
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6. The status of dialysis patients in Asian countries under COVID-19 disaster as of December 2019–June 2022: Vietnam, Indonesia, and Mongolia

Author

Hyodo, Toru, Hirawa, Nobuhito, Kuragano, Takahiro, Takemoto, Yoshiaki, Pham, Bui Van, Nguyen, Ha Minh, Nguyen, Loc Duc, Vu, Hoa, Le, Giang, Nguyen, Hang, Nguyen, Tung, Phan, An, Widiana, I. Gde Raka, Adiya, Saruultuvshin, Nergui, Mandkhai, Dashmend, Galmunkh, Bayankhuu, Narantungalag, Dorjsuren, Tsatsral, Ulziibayar, Dolzodmaa, Zulpihar, Nurguli, Batbold, Bolorchimeg, Bat-Ochir, Amartuvshin, and Dorj, Chuluuntsetseg

Published
2024
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11. AcneAI: A New Acne Severity Assessment Method Using Digital Images and Deep Learning

Author

Gazeau, Léa, Nguyen, Hang, Nguyen, Zung, Lebedeva, Mariia, Nguyen, Thanh, To, Tat-Dat, Le Digabel, Jimmy, Filiol, Jérome, Josse, Gwendal, Perlis, Clifford, Wolfe, Jonathan, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Linguraru, Marius George, editor, Dou, Qi, editor, Feragen, Aasa, editor, Giannarou, Stamatia, editor, Glocker, Ben, editor, Lekadir, Karim, editor, and Schnabel, Julia A., editor

Published
2024
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13. Novel Variant and Known Mutation in 23S rRNA Gene of Mycoplasma pneumoniae, Northern Vietnam, 2023

Author

Nguyen, Dinh-Dung, Ho, Nhan Thi, Dover, Lynn G., Vo, Anh Hang Mai, Ly, Ha Thi Thanh, Doan, Phuong Mai, Nguyen, Hang Thi, Luu, Nguyen Thi Thao, Pham, An Nhat, and Tran, Huyen Thi Thanh

Subjects
Gene mutations -- Research, Epidemics -- Causes of -- Vietnam, Community-acquired infections -- Causes of, Mycoplasma pneumonia -- Causes of, RNA -- Research, Pneumonia in children -- Causes of, Microbiological research, Mycoplasma pneumoniae -- Identification and classification -- Genetic aspects, Health
Abstract

Mycoplasma pneumoniae is a common etiologic agent of community-acquired pneumonia (CAP) among children. Although M. pneumoniae infection often causes a mild and self-limiting disease, pneumonia develops in [approximately equal to] [...]

Published
2024
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14. EFL Students' Perspectives on the Employment of Language Learning Strategies

Author

Duong, Tham My and Nguyen, Hang Thi Thu

Abstract

It is widely acknowledged that language learning strategies (LLSs) are beneficial to learners' academic achievements, learner autonomy, and motivation; however, it is indicated that Vietnamese students, particularly high school students, have found it hard to employ LLSs. This paper aims at exploring language learning strategies used by high school students and underlying reasons at a high school located in Ho Chi Minh City. The study involved 238 EFL high school students in responding to a closed-ended questionnaire and twenty of them in answering the semi-structured interview questions. The quantitative data collected from the questionnaire were processed by SPSS version 25.0 in terms of descriptive statistics, and the qualitative data were analyzed by the content-based approach. The results of the study indicated the EFL high school students' moderate use of LLSs. Remarkably, metacognitive strategies were the most commonly used category, compared to memory strategies -- the least employed category. The findings may serve as a guideline for EFL teachers on facilitating high school students' English language learning. It is also hoped that the results of this study may contribute to the literature about English language learning strategies in EFL contexts.

Published
2021

18. Factors Affecting Academic Performance of First-Year University Students: A Case of a Vietnamese University

Author

Le, Hien Thu Thi, Nguyen, Hang Thu Thi, La, Thuy Phuong, Le, Trinh Tuyet Thi, Nguyen, Nhi Thi, Nguyen, Tram Phuong Thuy, and Tran, Trung

Abstract

Having research-informed and evidence-based information into factors that impact students' academic performance is crucial for institutions to be able to identify gaps in the provision of training and support for students. This study is motivated by the need to determine and analyse such factors at a university that has been experiencing high academic failure and dropout rates. The study employed quantitative research methods with the leading research instrument being a survey administered to 397 first-year students from 13 disciplines and 7 faculties. Exploratory Factor Analysis (EFA) and multiple linear regression were used to identify the underlying relationships between variables. According to the research findings, there are five key factors that contribute to academic performance and success of first-year university students, namely, students' motivation, lecturers' pedagogical knowledge and skills, lecturers' professional knowledge and credential, learning resources and conditions and course structure. . These factors have been ranked from the one with the most substantial effect to the one that confers least impact. The findings can have important implications for proposing measures to improve academic performance for the university as well as other institutions in the higher education sector.

Published
2020

23. Unified modelling of epidemics by coupled dynamics via Monte-Carlo Markov Chain algorithms

Author

Protin, Frédéric, Jules, Martel, Nguyen, Duc Thang, Nguyen, Hang T. T., Piffault, Charles, Rodríguez, Willy, Iglesias, Susely Figueroa, Tô, Tat Dat, Tuschmann, Wilderich, Lê, Hông Vân, Yeo, Tenan, and Nguyen, Tien Zung

Subjects
Mathematics - Probability, Physics - Physics and Society, Quantitative Biology - Populations and Evolution
Abstract

To forecast the time dynamics of an epidemic, we propose a discrete stochastic model that unifies and generalizes previous approaches to the subject. Viewing a given population of individuals or groups of individuals with given health state attributes as living in and moving between the nodes of a graph, we use Monte-Carlo Markov Chain techniques to simulate the movements and health state changes of the individuals according to given probabilities of stay that have been preassigned to each of the nodes. We utilize this model to either capture and predict the future geographic evolution of an epidemic in time, or the evolution of an epidemic inside a heterogeneous population which is divided into homogeneous sub-populations, or, more generally, its evolution in a combination or superposition of the previous two contexts. We also prove that when the size of the population increases and a natural hypothesis is satisfied, the stochastic process associated to our model converges to a deterministic process. Indeed, when the length of the time step used in the discrete model converges to zero, in the limit this deterministic process is driven by a differential equation yielding the evolution of the expectation value of the number of infected as a function of time. In the second part of the paper, we apply our model to study the evolution of the Covid-19 epidemic. We deduce a decomposition of the function yielding the number of infectious individuals into "wavelets", which allows to trace in time the expectation value for the number of infections inside each sub-population. Within this framework, we also discuss possible causes for the occurrence of multiple epidemiological waves.

Published
2021

29. On cylindrical smooth rational Fano fourfolds

Author

Nguyen, Hang Thi Anh, Hoff, Michael, and Hoang, Truong Le

Subjects
Mathematics - Algebraic Geometry
Abstract

We construct new families of smooth Fano fourfolds with Picard rank $1$ which contain open $\Bbb A^1$-cylinders, that is, Zariski open subsets of the form $Z \times \Bbb A^1$, where $Z$ is a quasiprojective variety. In particular, we show that every Mukai fourfold of genus $8$ is cylindrical and there exists a family of cylindrical Gushel-Mukai fourfolds., Comment: revised version, accepted in the Journal of the Korean Mathematical Society. arXiv admin note: text overlap with arXiv:1406.6339 by other authors

Published
2021

30. Sudden Cardiac Arrest Detection Using Deep Learning and Principal Component Analysis

Author

Pham, Van-Su, Nguyen, Hang Duy Thi, Le, Hai-Chau, Nguyen, Minh Tuan, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Vo, Nguyen-Son, editor, and Tran, Hoai-An, editor

Published
2023
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40. The Pandemic Experience in Southeast Asia: Interface Between SARS-CoV-2, Malaria, and Dengue

Author

Yek, Christina, Nam, Vu Sinh, Leang, Rithea, Parker, Daniel M, Heng, Seng, Souv, Kimsan, Sovannaroth, Siv, Mayxay, Mayfong, AbuBakar, Sazaly, Sasmono, R Tedjo, Tran, Nhu Duong, Le Nguyen, Hang Khanh, Lon, Chanthap, Boonnak, Kobporn, Huy, Rekol, Sovann, Ly, and Manning, Jessica E

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Clinical Sciences, Emerging Infectious Diseases, Rare Diseases, Malaria, Biodefense, Infectious Diseases, Vaccine Related, Clinical Research, Prevention, Vector-Borne Diseases, Immunization, Infection, Good Health and Well Being, COVID-19, SARS-CoV-2, Southeast Asia, dengue, malaria
Abstract

Southeast Asia (SEA) emerged relatively unscathed from the first year of the global SARS-CoV-2 pandemic, but as of July 2021 the region is experiencing a surge in case numbers primarily driven by Alpha (B.1.1.7) and subsequently the more transmissible Delta (B.1.617.2) variants. While initial disease burden was mitigated by swift government responses, favorable cultural and societal factors, the more recent rise in cases suggests an under-appreciation of prior prevalence and over-appreciation of possible cross-protective immunity from exposure to endemic viruses, and highlights the effects of vaccine rollout at varying tempos and of variable efficacy. This burgeoning crisis is further complicated by co-existence of malaria and dengue in the region, with implications of serological cross-reactivity on interpretation of SARS-CoV-2 assays and competing resource demands impacting efforts to contain both endemic and pandemic disease.

Published
2021

42. New Measures of Academic Collocation Knowledge: Wordlist-Based Test Development and Argument-Based Validation, PhD celebration - Erandi Kithulgoda, Intercultural Language Teaching in Vietnamese Tertiary EFL Classes: A Participatory Action Research Study

Author

Nguyen, Hang, speaker, Kithulgoda, Erandi, speaker, and Thao, Tran Thi Phuong, speaker

Abstract

This study addresses the need for an assessment of academic collocation knowledge, which is an essential component of academic vocabulary for second or foreign language learners preparing to study at English-medium universities. Existing tests target knowledge of general academic vocabulary based on single-word lists, but there is a lack of tests for academic collocation knowledge. This study developed and validated two separate measures of recognition and recall knowledge of general academic collocations for diagnostic purposes, using an argument-based approach to collect validity evidence. Results showed that the Academic Collocation List (Ackermann & Chen, 2013) was the best source of items for testing purposes, and the tests were reliable and positively correlated with scores on other tests of similar constructs. The study provides pedagogical implications to support teaching and learning of academic collocation knowledge and advances the field of vocabulary assessment. Abstract not yet added. Abstract: Intercultural competence is seen as vital for 21st century citizens, but research suggests it is not widely addressed in English-as-a-Foreign-Language (EFL) pedagogy in Asian contexts. Thao Tran’s research investigates how EFL teachers at a Vietnamese university address culture in their classrooms, and the impact on their teaching practice of professional learning workshops in which the teachers design intercultural teaching materials and later teach using these materials. Thao’s research provides a principled framework for designing intercultural lessons and a model for teacher-centred professional learning.

Published
2023
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50. African Trypanosomiasis

Author

Magez, Stefan, Nguyen, Hang Thi Thu, Torres, Joar Esteban Pinto, Radwanska, Magdalena, Parija, Subhash Chandra, Series Editor, and Chaudhury, Abhijit, editor

Published
2022
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