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1. Risk of Periodontitis in Adolescents with Attention Deficit Hyperactivity Disorder: A Cohort Study of 81,055 Participants

Author

Ju-Wei Hsu, Li-Chi Chen, Kai-Lin Huang, Shih-Jen Tsai, Ya-Mei Bai, Tung-Ping Su, Tzeng-Ji Chen, Wen-Liang Lo, and Mu-Hong Chen

Abstract

Objectives: Previous studies have demonstrated poor oral hygiene in children with attention deficit hyperactivity disorder (ADHD). However, the association between ADHD and periodontitis is still unclear. Methods: In all, 16,211 adolescents with ADHD and 162,110 age- and sex-matched controls participated in the study between 2001 and 2011. To identify the occurrence of periodontitis, the participants were followed up till the end of 2011. Confounding factors, including smoking, diabetes, and depressive disorder, were assessed and adjusted in the Cox regression models. Results: Adolescents with ADHD (HR: 2.29) were more likely to develop periodontitis later in life than controls. We additionally observed the beneficial effect of atomoxetine (HR: 0.42) on the periodontitis risk among adolescents with ADHD. However, this finding should be interpreted cautiously given the small sample (n = 290) of children taking atomoxetine in the present study. Conclusions: ADHD is an independent risk factor for subsequent periodontitis development. Oral health should be closely monitored in adolescents with ADHD. Future investigation of the shared pathomechanisms between periodontitis and ADHD is warranted.

Published
2024
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2. A Mobile Contextualized Educational Game Framework with ChatGPT Interactive Scaffolding for Employee Ethics Training

Author

Yu-Chi Chen and Huei-Tse Hou

Abstract

Technologies like ChatGPT and other AI tools have impacted learning by giving students more chances to ask questions and explore knowledge. The inclusion of Non-Player Characters (NPCs) as scaffolding in game-based situated learning activities can have a positive impact on learning. The application of ChatGPT to role-playing has potential; therefore, this study designed a "ChatGPT-based NPCs scaffolding Workflow Framework" and used it as the basis for designing and evaluating an educational game for employee ethics training with empirical evidence. This study had 61 participants, divided into a document scaffolding group (n = 32) and a ChatGPT-based NPC group (n = 29) and examined the learning achievement, flow, motivation, and anxiety in the two groups. The results showed that the designs of both groups benefited learning achievement, and both groups could maintain a certain level of high motivation and engagement. Through qualitatively analyzing the content of students' discussions with NPCs, it was found that there is potential for NPC-assisted learning through ChatGPT. Overall, this study explored the efficacy and limitations of using ChatGPT-based NPCs as scaffolding in game-based learning and found that it is extensible. We also present a framework for the design of ChatGPT-based NPCs scaffolding mechanism.

Published
2024
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3. Predicting Students' Genuine Learning Interest in Socio-Scientific Issues within an Engaged Learning Context

Author

Brady Michael Jack, Chi-Chen Chen, Thomas J. Smith, and Hsin-Hui Wang

Abstract

This study investigated the predictive effect of 11th grade Taiwanese students' (N = 878) self-assessed critical thinking, group participation self-efficacy, and active learning on their genuine learning interest (GLI) in socio-scientific issues (SSI). Results showed that active learning had a direct effect on GLI, while critical thinking and group participation self-efficacy had indirect effects on GLI as mediated by active learning. Critical thinking showed a significant direct effect on active learning, and a significant indirect effect on active learning that was mediated by group participation self-efficacy.

Published
2024
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4. Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling

Author

Pei-Ying Chen, Cheng-Wei Ho, An-Chi Chen, Ching-Yi Huang, Tsung-Yun Liu, and Kung-Hao Liang

Subjects
Medicine, Science
Abstract

Abstract Seafood is commonly seen in cuisines of the Asia–Pacific regions. The rates and consequences of seafood substitution frauds in Taiwan were elusive. To address this, we conducted a consumer-centered study, collecting seafood dishes and cooking materials from restaurants and markets easily accessible to the residents in Taiwan. Seafood substitutions were evaluated using DNA barcodes in the mitochondrial MT-CO1 gene. Among the 127 samples collected, 24 samples were mislabeled (18.9%, 95% Confidence interval [CI] = [12.5–26.8%]). The mislabel rates vary in different fish and product types (snapper [84.6%, 54.6–98.1%], cod [25%, 5.5–57.2%], swordfish [16.7%, 2.1–48.4%], cobia [16.7%, 0.4–64.1%], surimi products [100.0%]). A deep microbiome profiling was performed in 8 correctly-labeled conventional sushi and 2 tilapia sashimi mislabeled as snapper, with sequencing depths greater than 100,000 reads for every sample. The relative abundance of Pseudomonas genus is significantly higher in tilapia sashimi than in conventional sushi (P = 0.044). In conclusion, the gross seafood mislabel rate in Taiwan is 18.9% (12.5–26.8%). Snapper, cod and surimi products are particularly vulnerable to fraudulent substitutions. The high abundance of Pseudomonas in tilapia sashimi mislabeled as snapper unveils a potential health issue pertaining to the consumption of raw mislabeled seafood.

Published
2020
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5. Implementation of human factors engineering approach to improve environmental cleaning and disinfection in a medical center

Author

I-Chen Hung, Hao-Yuan Chang, Aristine Cheng, Mei-Wen Chen, An-Chi Chen, Ling Ting, Yeur-Hur Lai, Jann-Tay Wang, Yee-Chun Chen, and Wang-Huei Sheng

Subjects
Environmental cleaning and disinfection, Human factors engineering, Fluorescent marker, ATP bioluminescence assay, Carriage incidence of multidrug-resistant organism, Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background Inadequate hospital cleaning may contribute to cross-transmission of pathogens. It is important to implement effective cleaning for the safe hospital environment. We conducted a three-phase study using human factors engineering (HFE) approach to enhance environmental cleanliness. Methods This study was conducted using a prospective interventional trial, and 28 (33.3%) of 84 wards in a medical center were sampled. The three-phases included pre-intervention analysis (Phase 1), implementing interventions by HFE principles (Phase 2), and programmatic analysis (Phase 3). The evaluations of terminal cleaning and disinfection were performed using the fluorescent marker, the adenosine triphosphate bioluminescence assay, and the aerobic colony count method simultaneously in all phases. Effective terminal cleaning and disinfection was qualified with the aggregate outcome of the same 10 high-touch surfaces per room. A score for each high-touch surface was recorded, with 0 denoting a fail and 10 denoting a pass by the benchmark of the evaluation method, and the total terminal cleaning and disinfection score (TCD score) was a score out of 100. Results In each phase, 840 high-touch surfaces were collected from 84 rooms after terminal cleaning and disinfection. After the interventions, the TCD score by the three evaluation methods all showed significant improved. The carriage incidence of multidrug-resistant organism (MDRO) decreased significantly from 4.1 per 1000 patient-days to 3.6 per 1000 patient-days (P = .03). Conclusion The HFE approach can improve the thoroughness and the effectiveness of terminal cleaning and disinfection, and resulted in a reduction of patient carriage of MDRO at hospitals. Larger studies are necessary to establish whether such efforts of cleanliness can reduce the incidence of healthcare-associated infection.

Published
2020
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6. Stakeholder Perspectives of Experiential Education in Tertiary Institutions and Learning from COVID-19

Author

Hanna Chidwick, Lydia Kapiriri, and En Chi Chen

Abstract

Background: Many universities in Canada offer experiential education (EE) opportunities for students that are both field-based and on-campus. Despite a commitment to EE, there is a paucity of information about various stakeholder perspectives of EE and the equity implications of the different approaches to EE. Furthermore, it is unclear how EE programs at universities changed in response to the COVID-19 pandemic and related restrictions. Purpose: This study aims to explore stakeholder perspectives of EE experiences and understand the shifts to EE, perhaps towards more equitable and accessible EE opportunities, prompted by the COVID-19 pandemic. Methodology/Approach: We used an exploratory case study approach involving a survey with university students, interviews with university instructors and community organizations, and a document review, to understand stakeholder perspectives and shifts to EE due to COVID-19. Findings/Conclusions: Findings suggest that there are consistent benefits of EE, and barriers to EE, across student, instructor, and organization perspectives, where learning from changes prompted by the pandemic could be beneficial to increase equity in EE. Implications: We recommend that instructors and institutions continue to work in partnership with students and community organizations to build virtual, on-campus, and local field-based EE (FBEE) opportunities that aim to increase equitable access and impact.

Published
2024
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7. Eyes on the Streets: Leveraging Street-Level Imaging to Model Urban Crime Dynamics

Author

Qi, Zhixuan, Luo, Huaiying, and Chi, Chen

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

This study addresses the challenge of urban safety in New York City by examining the relationship between the built environment and crime rates using machine learning and a comprehensive dataset of street view images. We aim to identify how urban landscapes correlate with crime statistics, focusing on the characteristics of street views and their association with crime rates. The findings offer insights for urban planning and crime prevention, highlighting the potential of environmental design in enhancing public safety.

Published
2024

10. Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing

Author

Yu, Jongmin, Chi, Chen Bene, Fichera, Sebastiano, Paoletti, Paolo, Mehta, Devansh, and Luo, Shan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Road pavement detection and segmentation are critical for developing autonomous road repair systems. However, developing an instance segmentation method that simultaneously performs multi-class defect detection and segmentation is challenging due to the textural simplicity of road pavement image, the diversity of defect geometries, and the morphological ambiguity between classes. We propose a novel end-to-end method for multi-class road defect detection and segmentation. The proposed method comprises multiple spatial and channel-wise attention blocks available to learn global representations across spatial and channel-wise dimensions. Through these attention blocks, more globally generalised representations of morphological information (spatial characteristics) of road defects and colour and depth information of images can be learned. To demonstrate the effectiveness of our framework, we conducted various ablation studies and comparisons with prior methods on a newly collected dataset annotated with nine road defect classes. The experiments show that our proposed method outperforms existing state-of-the-art methods for multi-class road defect detection and segmentation methods., Comment: Accepted to the ICRA 2024

Published
2024

11. Abstracts from the 8th International Congress of the Asia Pacific Society of Infection Control (APSIC)

Author

Nantanit Sutthiruk, Mari Botti, Julie Considine, Andrea Driscoll, Ana Hutchinson, Kumthorn Malathum, Cucunawangsih Cucunawangsih, Veronica Wiwing, Vivien Puspitasari, Rathina Kumar Shanmugakani, Yukihiro Akeda, Takuya Kodera, Pitak Santanirand, Kazunori Tomono, Takayuki Yamanaka, Hiroyuki Moriuchi, Hiroyuki Kitajima, Yuho Horikoshi, Alyona Lavrinenko, Ilya Azizov, Nurlan Tabriz, Margulan Kozhamuratov, Yekatherine Serbo, Dahae Yang, Woonhyoung Lee, Il Kwon Bae, Jae Hyun Lee, Hyukmin Lee, Jung Ok Kim, Seok Hoon Jeong, Kyungwon Lee, Thiba Peremalo, Priya Madhavan, Sharina Hamzah, Leslie Than, Eng Hwa Wong, Mohd Nasir Mohd Desa, Kee Peng Ng, Marionne Geronimo, Maria Fe Tayzon, Maria Jesusa Maño, Angela Chow, Pei-Yun Hon, Mar-Kyaw Win, Brenda Ang, Yee-Sin Leo, Tina See, Rocio Alvarez Marin, Marta Aires de Sousa, Nicolas Kieffer, Patrice Nordmann, Laurent Poirel, Wison Laochareonsuk, Sireekul Petyu, Pawin Wanasitchaiwat, Sutasinee Thana, Chollathip Bunyaphongphan, Woranan Boonsomsuk, Pakpoom Maneepongpermpoon, Silom Jamulitrat, Dorairajan Sureshkumar, Kalyanaraman Supraja, Soundararajan Sharmila, Benny Setiawan, Nicolaski Lumbuun, Haruo Nakayama, Toshiko Ota, Naoko Shirane, Chikako Matuoka, Kentaro Kodama, Masanobu Ohtsuka, Silverose Ann Andales Bacolcol, Melecia Velmonte, Allan Alde, Keithleen Chavez, Arlene Joy Esteban, Aisa Jensen Lee, Tai-Chin Hsieh, Shio-ShinJean, Huey-Jen Huang, Shu-Ju Huang, Yu-Huan Huang, Pei-Chen Cheng, Su-Fang Yu, Shih-Ming Tsao, Yuan-Ti Lee, Chien-Feng Li, Min-Chi Lu, Nattapol Pruetpongpun, Thana Khawcharoenporn, Pansachee Damronglerd, Nuntra Suwantarat, Anucha Apisarnthanarak, Sasinuch Rutjanawech, Lisa Cushinotto, Patty McBride, Harding Williams, Hans Liu, Phan Thi Hang, Dinh Pham Phuong Anh, Ngai Le, Dung Khu, Lam Nguyen, Roel Beltran Castillo, Ram Gopalakrishnan, Venkatasubramanian Ramasubramanian, Subramanian Sreevidya, Ranganathan Jayapradha, Atsushi Umetsu, Tetsuhiro Noda, Kenyuu Hashimoto, Akihiro Hayashi, Mikie Kabashima, Ursula Jadczak, Knut Elvelund, Marit Johnsen, Bente Borgen, Egil Lingaas, Chia-Hua Mao, Fu-Chieh Chang, Chang-Pan Liu, Ru-Hui Chao, Fu-chieh Chang, Chang-pan Liu, Junpen Pawapotako, Chadanan Prasertpan, Wantanee Malaihuan, Phisit Uirungroj, Chalermpong Saenjum, Teerapat Ouirungrog, Sue Borrell, Pauline Bass, Leon Worth, Zhao Xian-li, Li Xiao-long, Yao Xue-hua, Ren Wei, Zhang Xia Zeng, Man Ying Kong, Christopher Koon Chi Lai, Suet Yi Lee, Ngai Chong Tsang, M. M. O’Donoghue, M. V. Boost, L. K. P. Suen, G. K. Siu, K. W. Mui, C. K. C. Lai, D. N. C. Tsang, Yuka Sato, Mariko Tateishi, Mutsuko Mihashi, Jose Paulo Flor, Marko Bautista, V. Jay De Roxas, Justine Vergara, Nicolo Andrei Añonuevo, Marion Kwek, Jose Acuin, Anna Josea Sanchez, Avel Bathan, Jamilah Binte Jantan, Chua Chor Guek, Eu Chiow Kian, Pampe Anak Pirido, Nur Fadilah Binte Mohd Aron, Leah May Estacio, Francis Alvarez Palana, Michelle Gracia, Nur Syafiqah Binte Shamsuddin, Kersten Timbad Castro, Madonna Baloria, Faezah Binte Adam, Zhang Wei, Poh Bee Fong, Marimuthu Kalisvar, I-Ju Chuang, Yi-ChunCho, Yu-Fen Chiu, Lung-Chih Chen, Yi-Chun Lin, Shao-Xing Dong, Yi-Chieh Lee, Hui-Chen Kuan, Hsin-Hua Lin, Chia-Chun Chi, Chin-Te Lu, Tang Ya-Fen, Su Li-Hsiang, Liu Jien-Wei, Hsuehlan Chao, PinRu ChangChien, WeiFang Chen, ChungHsu Lai, Lutfe Ara, Syed Mohammad Niaz Mowla, Shaikh Mahmud Kamal Vashkar, Wai Fong Chan, Mabel Yin ChunYau, Karen Kam LingChong, Tze OnLi, Rajwinder Kaur, Ng Po Yan, Gloria Chor Shan Chiu, Christina W. Y. Cheung, Patricia T. Y. Ching, Radley H. C. Ching, Conita H. S. Lam, C. H. Kan, Shirley S. Y. Lee, C. P. Chen, Regina F. Y. Chan, Annie F. Y. Leung, Isadora L. C. Wong, S. S. Lam, Queenie W. L. Chan, Cecilia Chan, Seyed Sadeq Seyed Nematian, Charles John Palenik, Mehrdad Askarian, Nahid Hatam, Itaru Nakamura, Hiroaki Fujita, Ayaka Tsukimori, Takehito Kobayashi, Akihiro Sato, Shinji Fukushima, Tetsuya Matsumoto, V. James De Roxas, V James De Roxas, Nicolo AndreiAñonuevo, Yeng May Ho, Jia Qi Kum, Bee Fong Poh, Kalisvar Marimuthu, Tzu-Yin Liu, Sin-Man Chu, Hui-Zhu Chen, Tun-chieh Chen, Yichun Chen, Ya-Ching Tsao, Sumawadee Skuntaniyom, Pirawadee Tipluy, Sangwan Paengta, Ratchanee wongsaen, Sutthiphun thanomphan, Samettanet Tariyo, Buachan Thongchuea, Pattama Khamfu, Sutthiphan Thanomphan, Wipaporn Natalie Songtaweesin, Suvaporn Anugulruengkit, Rujipat Samransamruajkit, Darintr Sosothikul, Ornanong Tansrijitdee, Anry Nakphunsung, Patchareeyawan Srimuan, Jirachaya Sophonphan, ThanyaweePuthanakit, Kunyanut Payuk, Wilawan Picheansathian, Nongkran Viseskul, Elizabeth DeNardo, Rachel Leslie, Todd Cartner, Luciana Barbosa, Heinz-Peter Werner, Florian H. H. Brill, Julia Yaeko Kawagoe, Elizabeth De Nardo, Sarah Edmonds- Wilson, David Macinga, Patricia Mays-Suko, Collette Duley, Tran Thi Thuy Hang, Tran Thi My Hanh, Christopher Gordon, Roopa Durairaj, Anusha Rohit, Saujanya Saravanakumar, Jothymani Hemalatha, Ryuichi Hirano, Yuichi Sakamoto, Shoji Yamamoto, Naoki Tachibana, Miho Miura, Fumiyo Hieda, Yoshiro Sakai, Hiroshi Watanabe, Silverose Ann Bacolcol, Keitleen Chavez, Jia-Wei Lim, Aung-Aung Hein, Grace Tin, Vanessa Lim, Huwi-chun Chao, Chiu-Yin Yeh, Mei-feng Lo, Chonlada Piwpong, Songyos Rajborirug, Ploypailin Preechawetchakul, Yada Pruekrattananapa, Tharntip Sangsuwan, Ratchanee Wongsaen, Sungwan Paengta, Napatnun Nilchon, Sutthipun Thanompan, Samattanet Tariyo, Svetlana Kolesnichenko, Yerbol Tishkambayev, Asylkhan Alibecov, Yekaterina Serbo, Youngwon Nam, Jae Hyeon Park, Yun Ji Hong, Taek Soo Kim, Jeong Su Park, Kyoung Un Park, Eui-Chong Kim, Samuel Abumhere Aziegbemhin, Onaiwu Enabulele, Yao-Shen Tung, An-Chi Chen, Shen-Min Huang, Yui-Yein Yang, Li-Hung Wu, Chin-cheng Lin, Tzu Hao Lien, Jia Hao Chang, Yu Shan Huang, Yi Shun Chen, Sasithorn Sirilun, Phisit Ouirungroj, Suwanna Trakulsomboon, Patcharee Prasajak, Maryanne W. N. Kwok, Lady S. H. Ng, Lindy M. T. Wong, Lenina S. L. Poon, Mary K. L. Lai, Holly H. S. Cheng, S. K. Fong, Cindy F. Y. Leung, Jumpei Hasegawa, Hiroki Shirakawa, Sachiko Wakai, Makiko Mieno, Shuji Hatakeyama, Manu Deeudom, Prasit Tharavichitkul, Terrence Chinniah, Jackson Tan, Kavitha Prabu, Sartaj Alam, Aung Kyaw Wynn, Rashidah Ahmad, Amalina Sidek, Dg Azizah Samsuddin, Noraini Ajis, Aliyah Ahmad, Susylawathi Magon, Boon Chu, Jiqiu Kuang, Yan Gao, Shoujun Wang, Yunxiao Hao, Rong Liu, Dongmei Li, Hui Wang, Hisanori Nishio, Hitomi Mori, Yoshiko Morokuma, Takaaki Yamada, Makiko Kiyosuke, Sachie Yasunaga, Kazuhiro Toyoda, Nobuyuki Shimono, Dmitriy Babenko, Anar Turmuhambetova, Antonella Cheşcă, Mark A. Toleman, Lyudmila L. Akhmaltdinova, Mark Albert Magsakay, Angelo Macatibag, Jeannica Kriselle Lerios, Alyona Lavrineko, Dmitry Babenko, Eugene Sheck, Mikhail Edelstein, Lih-Yue Li, Chiung-Wen Chan, Hui-Chuan Pan, Wipa Vanishakije, Warisra Jaikampun, Su-Yin Li, Jian-Feng Li, Yu-Ping Wu, Chiao-Hui Lin, Ping-Chin Chang, Samatanet Tariyo, Suttsiphan Thanompan, Suchada Sukkra, Khalequ Zaman, Sheikh Farzana Zaman, Farzana Zaman, Asma Aziz, Sayeed-Bin Faisal, Magali Traskine, Javier Ruiz-Guiñazú, Dorota Borys, Wendy Wai Yee Lam, May Chow, Lucy Choy, Joseph Kam, Sharifah Azura Salleh, Razila Yacob, Siti Rokiah Yusof, Nordiah Awang Jalil, Maria Lourdes Millan, Jose Lito Acuin, Melecia A. Velmonte, Silverose Ann A. Bacolcol, Ching-I Ting, Sunisa Dissayasriroj, Terrence Rohan Chinniah, Jauharatud DiniSuhaimi, Aizzuddin Mirasin, Nurul Morni, Azizah Samsuddin, Amalina AbuBakar, Amanie Shafiee, Julaini Safar, Leung Annie, Fung Yuk Ling, Lau Edna, Luk Kristine, Satoshi Shinomiya, Kumiko Yamamoto, Kayoko Kjiwara, Mitsuhiro Yamaguchi, Wei Zhang, Bee-Fong Poh, Ming-Chin Chan, Chih-Chien Wang, Huan-Yu Huang, Chiung-Ling Lai, Sajeerat Kosol, Wantana Sakolwirat, Patchanee Paepong, Sawalee Jansanga, Pattarin Jaisamoot, Nuttha Thongnuanual, Chittima Srithong, Somporn Somsakul, Sutima Plongpunth, Mukkapon Punpop, Porntip Malathum, Kulada Peautiwat, Nattawipa boon kirdram, Pimpaporn Klunklin, Geetha Samethadka, Naoko Suzuki, Hitomi Asada, Masao Katayama, Atsushi Komano, Hidehiro Watanabe, Hye Kyung Seo, Joo-Hee Hwang, Myoung Jin Shin, Su Young Kim, Eu Suk Kim, Kyoung-Ho Song, Hong Bin Kim, Lai-Si Un, Choi-Ian Vong, Jocelyn Koh, Sherly Agustinus, Rozita Bte Abu Hassan, Yin Phyu Thinn, Benjamin Ng, Soe Pyae Tun, Su Mon Thi Ha, Xue Xiaoting, Lin Li, Leyland Chuang, Attanayaka Mudiyanselage Chulani Niroshika, Kaluarachchige Anoma Kaluarachchi Perera, Dimingo Kankanamalage Diana Grace Fernando, Bodhipakshage Rohini Hemamala, Chiu-yin Yeh, Hui-Chun Yang, Hsiang-Ju Chiu, Ya-Ling Shih, Yu-Shan Chien, Wan-Yi Lin, Chia-Yun Pan, Ying-Yun Chang, Chiu-Yuch Yea, Ming-Hsien Chu, Li-Chu Lee, Lin Yu-Hsiu, Guo Siao-Pei, Leung Pak-On, Sie Mei-Fe, Chen Jyh-Jou, Chang Yong-Yuan, Shu-Yuan Kuo, Yu-Hsiu Lin, Ji-Sheng Zhang, Pak-On Leung, Mei-Fe Sie, Jyh-Jou Chen, Yan-Ru Chen, Ying-Ling Chen, Chi-Fen Taou, Hsiao-Shan Chen, Hung-Jen Tang, Shin Yu Chen, Yin Yin Chen, Fu Der Wang, Tzu-Ping Shih, Chin-Yu Chen, Su-Jung Chen, Mei-chi Wu, Wan-ju Yang, Mei-ling Chou, Man-Ling Yu, Li-Chu Li, Cheng-Wei Chu, Wen-Hao Tsou, Wen-Chih Wu, Wen-Chi Cheng, Cho-Ching Sun, Shu-Hua Lu, Hsin-Ling Yang, Cheng-Yu Lu, Nitchawan Hirunprapakorn, Sirilux Apivanich, Ttipakorn Pornmee, Chonnikarnt Beowsomboon, Itthaporn Kumkoom, Nongyao Kasatpibal, Jittaporn Chitreecheur, JoAnne D. Whitney, Surasak Saokaew, Kirati Kengkla, Margaret M. Heitkemper, Thanomvong Muntajit, Siriluk Apivanich, Hang Thi Phan, Anh Pham Phuong Dinh, and Tuyet Thi Kim Nguyen

Subjects
Infectious and parasitic diseases, RC109-216
Published
2017
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16. Intelligent medicine in focus: the 5 stages of evolution in robot-assisted surgery for prostate cancer in the past 20 years and future implications

Author

Li, Jia-Kun, Tang, Tong, Zong, Hui, Wu, Er-Man, Zhao, Jing, Wu, Rong-Rong, Zheng, Xiao-Nan, Zhang, Heng, Li, Yi-Fan, Zhou, Xiang-Hong, Zhang, Chi-Chen, Zhang, Zi-Long, Zhang, Yi-Hang, Feng, Wei-Zhe, Zhou, Yi, Wang, Jiao, Zhu, Qi-Yu, Deng, Qi, Zheng, Jia-Ming, Yang, Lu, Wei, Qiang, and Shen, Bai-Rong

Published
2024
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22. University Students' Perceptions of 'Good Citizens' in Greater China: A Comparative Study of Taiwan, Hong Kong, Macau, and Mainland China

Author

Meng U. Ieong, Koon Lin Wong, Hui Li, Chi-Chen Chen, and Jinxin Zhu

Abstract

The purpose of civic education is to prepare students to become 'good citizens' aligned with the policies and political purposes of the regime to which they belong. This exploratory study employed a mixed methods design to construct a typology of 'good citizens' to understand university students' perceptions of citizenship in Taiwan, Hong Kong, Macau and Mainland China. It found that the university students' perceptions of 'good citizens' is constructed from two components: internal political efficacy and the connection between 'good citizens' and the regime. Students in these societies share a similar understanding of the first component but have significant divergences in the second component. These findings demonstrate a correlation between regime type and the perceptions of 'good citizens' and our typology could provide a conceptual framework to guide researchers in organising and conducting further comparative studies.

Published
2024
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23. Understanding Partnerships in Teacher and Student Feedback Literacy: Shared Responsibility

Author

Chi Chen and Andy Jiahao Liu

Abstract

Feedback literacy has been phenomenally studied across research and practices in the past decade. However, the partnership in teacher and student feedback literacy (TFL and SFL) has been scarcely studied. As a response, this study explored the statistical relationship between TFL and SFL and the perceptions of feedback-literate students and teachers, using two parallel questionnaires' data from 200 students and 20 teachers at a southwestern Chinese university. Analyses revealed mismatched understandings of the TFL and SFL (at micro and macro level) and a medium positive correlation between TFL and SFL (at meso and macro level). Such empirical evidence validates that student-teacher partnerships should be well foregrounded to improve their feedback literacy. Meanwhile, new empirical insights -- 'awareness of the student-teacher partnership' and 'perception of the relationship between feedback and learning effects' -- should be added to existing SFL frameworks.

Published
2024
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24. Influences of Internet Access on Civic Knowledge Measurement in Taiwan

Author

Chi-Chen Chen, Chia-Wei Tang, and Kuan-Yu Jin

Abstract

Internet-related issues have influenced how civic knowledge is educated and measured. The International Civic and Citizenship Education Study (ICCS) is a well-known large-scale assessment concerning how civic knowledge is educated and measured globally. Regardless of the emerging roles of internet access and usage, the influences of internet access on civic knowledge have yet to be investigated in ICCS research. Hence, this study aims to study whether the multiple-choice items in the civic knowledge test of ICCS 2016 are affected by internet access, what causes the effect, and to what degree Internet access influences the measurement. Results indicated that the ICCS civic knowledge test included six differential item functioning (DIF) items on internet access, of which five favored families with internet access, and one favored families without internet access. In addition, the primary source of DIF items was highly related to socioeconomic status. Overall, the students in families where the internet was available possessed higher civic knowledge than the students who were not. In conclusion, this study provides evidence of item inequivalence and identifies suspicious sources. These results can be used as a basis to investigate related research on digital learning, online teaching, and social media engagement in civic literacy.

Published
2024
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27. Preventing Unauthorized AI Over-Analysis by Medical Image Adversarial Watermarking

Author

Wei, Xingxing, Pu, Bangzheng, Zhao, Shiji, Chi, Chen, and Fu, Huazhu

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Cryptography and Security, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Multimedia
Abstract

The advancement of deep learning has facilitated the integration of Artificial Intelligence (AI) into clinical practices, particularly in computer-aided diagnosis. Given the pivotal role of medical images in various diagnostic procedures, it becomes imperative to ensure the responsible and secure utilization of AI techniques. However, the unauthorized utilization of AI for image analysis raises significant concerns regarding patient privacy and potential infringement on the proprietary rights of data custodians. Consequently, the development of pragmatic and cost-effective strategies that safeguard patient privacy and uphold medical image copyrights emerges as a critical necessity. In direct response to this pressing demand, we present a pioneering solution named Medical Image Adversarial watermarking (MIAD-MARK). Our approach introduces watermarks that strategically mislead unauthorized AI diagnostic models, inducing erroneous predictions without compromising the integrity of the visual content. Importantly, our method integrates an authorization protocol tailored for legitimate users, enabling the removal of the MIAD-MARK through encryption-generated keys. Through extensive experiments, we validate the efficacy of MIAD-MARK across three prominent medical image datasets. The empirical outcomes demonstrate the substantial impact of our approach, notably reducing the accuracy of standard AI diagnostic models to a mere 8.57% under white box conditions and 45.83% in the more challenging black box scenario. Additionally, our solution effectively mitigates unauthorized exploitation of medical images even in the presence of sophisticated watermark removal networks. Notably, those AI diagnosis networks exhibit a meager average accuracy of 38.59% when applied to images protected by MIAD-MARK, underscoring the robustness of our safeguarding mechanism.

Published
2023

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