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1. Humanity's Last Exam

Author

Phan, Long, Gatti, Alice, Han, Ziwen, Li, Nathaniel, Hu, Josephina, Zhang, Hugh, Shi, Sean, Choi, Michael, Agrawal, Anish, Chopra, Arnav, Khoja, Adam, Kim, Ryan, Hausenloy, Jason, Zhang, Oliver, Mazeika, Mantas, Anderson, Daron, Nguyen, Tung, Mahmood, Mobeen, Feng, Fiona, Feng, Steven Y., Zhao, Haoran, Yu, Michael, Gangal, Varun, Zou, Chelsea, Wang, Zihan, Wang, Jessica P., Kumar, Pawan, Pokutnyi, Oleksandr, Gerbicz, Robert, Popov, Serguei, Levin, John-Clark, Kazakov, Mstyslav, Schmitt, Johannes, Galgon, Geoff, Sanchez, Alvaro, Lee, Yongki, Yeadon, Will, Sauers, Scott, Roth, Marc, Agu, Chidozie, Riis, Søren, Giska, Fabian, Utpala, Saiteja, Giboney, Zachary, Goshu, Gashaw M., Xavier, Joan of Arc, Crowson, Sarah-Jane, Naiya, Mohinder Maheshbhai, Burns, Noah, Finke, Lennart, Cheng, Zerui, Park, Hyunwoo, Fournier-Facio, Francesco, Wydallis, John, Nandor, Mark, Singh, Ankit, Gehrunger, Tim, Cai, Jiaqi, McCarty, Ben, Duclosel, Darling, Nam, Jungbae, Zampese, Jennifer, Hoerr, Ryan G., Bacho, Aras, Loume, Gautier Abou, Galal, Abdallah, Cao, Hangrui, Garretson, Alexis C, Sileo, Damien, Ren, Qiuyu, Cojoc, Doru, Arkhipov, Pavel, Qazi, Usman, Li, Lianghui, Motwani, Sumeet, de Witt, Christian Schroeder, Taylor, Edwin, Veith, Johannes, Singer, Eric, Hartman, Taylor D., Rissone, Paolo, Jin, Jaehyeok, Shi, Jack Wei Lun, Willcocks, Chris G., Robinson, Joshua, Mikov, Aleksandar, Prabhu, Ameya, Tang, Longke, Alapont, Xavier, Uro, Justine Leon, Zhou, Kevin, Santos, Emily de Oliveira, Maksimov, Andrey Pupasov, Vendrow, Edward, Zenitani, Kengo, Guillod, Julien, Li, Yuqi, Vendrow, Joshua, Kuchkin, Vladyslav, Ze-An, Ng, Marion, Pierre, Efremov, Denis, Lynch, Jayson, Liang, Kaiqu, Gritsevskiy, Andrew, Martinez, Dakotah, Pageler, Ben, Crispino, Nick, Zvonkine, Dimitri, Fraga, Natanael Wildner, Soori, Saeed, Press, Ori, Tang, Henry, Salazar, Julian, Green, Sean R., Brüssel, Lina, Twayana, Moon, Dieuleveut, Aymeric, Rogers, T. Ryan, Zhang, Wenjin, Li, Bikun, Yang, Jinzhou, Rao, Arun, Loiseau, Gabriel, Kalinin, Mikhail, Lukas, Marco, Manolescu, Ciprian, Mishra, Subrata, Kamdoum, Ariel Ghislain Kemogne, Kreiman, Tobias, Hogg, Tad, Jin, Alvin, Bosio, Carlo, Sun, Gongbo, Coppola, Brian P, Tarver, Tim, Heidinger, Haline, Sayous, Rafael, Ivanov, Stefan, Cavanagh, Joseph M, Shen, Jiawei, Imperial, Joseph Marvin, Schwaller, Philippe, Senthilkuma, Shaipranesh, Bran, Andres M, Dehghan, Ali, Algaba, Andres, Verbeken, Brecht, Noever, David, P V, Ragavendran, Schut, Lisa, Sucholutsky, Ilia, Zheltonozhskii, Evgenii, Lim, Derek, Stanley, Richard, Sivarajan, Shankar, Yang, Tong, Maar, John, Wykowski, Julian, Oller, Martí, Sandlin, Jennifer, Sahu, Anmol, Hu, Yuzheng, Fish, Sara, Heydari, Nasser, Apronti, Archimedes, Rawal, Kaivalya, Vilchis, Tobias Garcia, Zu, Yuexuan, Lackner, Martin, Koppel, James, Nguyen, Jeremy, Antonenko, Daniil S., Chern, Steffi, Zhao, Bingchen, Arsene, Pierrot, Goldfarb, Alan, Ivanov, Sergey, Poświata, Rafał, Wang, Chenguang, Li, Daofeng, Crisostomi, Donato, Achilleos, Andrea, Myklebust, Benjamin, Sen, Archan, Perrella, David, Kaparov, Nurdin, Inlow, Mark H, Zang, Allen, Thornley, Elliott, Orel, Daniil, Poritski, Vladislav, Ben-David, Shalev, Berger, Zachary, Whitfill, Parker, Foster, Michael, Munro, Daniel, Ho, Linh, Hava, Dan Bar, Kuchkin, Aleksey, Lauff, Robert, Holmes, David, Sommerhage, Frank, Schneider, Keith, Kazibwe, Zakayo, Stambaugh, Nate, Singh, Mukhwinder, Magoulas, Ilias, Clarke, Don, Kim, Dae Hyun, Dias, Felipe Meneguitti, Elser, Veit, Agarwal, Kanu Priya, Vilchis, Victor Efren Guadarrama, Klose, Immo, Demian, Christoph, Anantheswaran, Ujjwala, Zweiger, Adam, Albani, Guglielmo, Li, Jeffery, Daans, Nicolas, Radionov, Maksim, Rozhoň, Václav, Ma, Ziqiao, Stump, Christian, Berkani, Mohammed, Platnick, Jacob, Nevirkovets, Volodymyr, Basler, Luke, Piccardo, Marco, Jeanplong, Ferenc, Cohen, Niv, Tkadlec, Josef, Rosu, Paul, Padlewski, Piotr, Barzowski, Stanislaw, Montgomery, Kyle, Menezes, Aline, Patel, Arkil, Wang, Zixuan, Tucker-Foltz, Jamie, Stade, Jack, Goertzen, Tom, Kazemi, Fereshteh, Milbauer, Jeremiah, Ambay, John Arnold, Shukla, Abhishek, Labrador, Yan Carlos Leyva, Givré, Alan, Wolff, Hew, Rossbach, Vivien, Aziz, Muhammad Fayez, Kaddar, Younesse, Chen, Yanxu, Zhang, Robin, Pan, Jiayi, Terpin, Antonio, Muennighoff, Niklas, Schoelkopf, Hailey, Zheng, Eric, Carmi, Avishy, Jones, Adam, Shah, Jainam, Brown, Ethan D. L., Zhu, Kelin, Bartolo, Max, Wheeler, Richard, Ho, Andrew, Barkan, Shaul, Wang, Jiaqi, Stehberger, Martin, Kretov, Egor, Sridhar, Kaustubh, EL-Wasif, Zienab, Zhang, Anji, Pyda, Daniel, Tam, Joanna, Cunningham, David M., Goryachev, Vladimir, Patramanis, Demosthenes, Krause, Michael, Redenti, Andrew, Bugas, Daniel, Aldous, David, Lai, Jesyin, Coleman, Shannon, Bahaloo, Mohsen, Xu, Jiangnan, Lee, Sangwon, Zhao, Sandy, Tang, Ning, Cohen, Michael K., Carroll, Micah, Paradise, Orr, Kirchner, Jan Hendrik, Steinerberger, Stefan, Ovchynnikov, Maksym, Matos, Jason O., Shenoy, Adithya, Junior, Benedito Alves de Oliveira, Wang, Michael, Nie, Yuzhou, Giordano, Paolo, Petersen, Philipp, Sztyber-Betley, Anna, Shukla, Priti, Crozier, Jonathan, Pinto, Antonella, Verma, Shreyas, Joshi, Prashant, Yong, Zheng-Xin, Tee, Allison, Andréoletti, Jérémy, Weller, Orion, Singhal, Raghav, Zhang, Gang, Ivanov, Alexander, Khoury, Seri, Mostaghimi, Hamid, Thaman, Kunvar, Chen, Qijia, Khánh, Tran Quoc, Loader, Jacob, Cavalleri, Stefano, Szlyk, Hannah, Brown, Zachary, Roberts, Jonathan, Alley, William, Sun, Kunyang, Stendall, Ryan, Lamparth, Max, Reuel, Anka, Wang, Ting, Xu, Hanmeng, Raparthi, Sreenivas Goud, Hernández-Cámara, Pablo, Martin, Freddie, Malishev, Dmitry, Preu, Thomas, Korbak, Tomek, Abramovitch, Marcus, Williamson, Dominic, Chen, Ziye, Bálint, Biró, Bari, M Saiful, Kassani, Peyman, Wang, Zihao, Ansarinejad, Behzad, Goswami, Laxman Prasad, Sun, Yewen, Elgnainy, Hossam, Tordera, Daniel, Balabanian, George, Anderson, Earth, Kvistad, Lynna, Moyano, Alejandro José, Maheshwari, Rajat, Sakor, Ahmad, Eron, Murat, McAlister, Isaac C., Gimenez, Javier, Enyekwe, Innocent, O., Andrew Favre D., Shah, Shailesh, Zhou, Xiaoxiang, Kamalov, Firuz, Clark, Ronald, Abdoli, Sherwin, Santens, Tim, Meer, Khalida, Wang, Harrison K, Ramakrishnan, Kalyan, Chen, Evan, Tomasiello, Alessandro, De Luca, G. Bruno, Looi, Shi-Zhuo, Le, Vinh-Kha, Kolt, Noam, Mündler, Niels, Semler, Avi, Rodman, Emma, Drori, Jacob, Fossum, Carl J, Jagota, Milind, Pradeep, Ronak, Fan, Honglu, Shah, Tej, Eicher, Jonathan, Chen, Michael, Thaman, Kushal, Merrill, William, Harris, Carter, Gross, Jason, Gusev, Ilya, Sharma, Asankhaya, Agnihotri, Shashank, Zhelnov, Pavel, Usawasutsakorn, Siranut, Mofayezi, Mohammadreza, Bogdanov, Sergei, Piperski, Alexander, Carauleanu, Marc, Zhang, David K., Ler, Dylan, Leventov, Roman, Soroko, Ignat, Jansen, Thorben, Lauer, Pascal, Duersch, Joshua, Taamazyan, Vage, Morak, Wiktor, Ma, Wenjie, Held, William, Huy, Tran Đuc, Xian, Ruicheng, Zebaze, Armel Randy, Mohamed, Mohanad, Leser, Julian Noah, Yuan, Michelle X, Yacar, Laila, Lengler, Johannes, Shahrtash, Hossein, Oliveira, Edson, Jackson, Joseph W., Gonzalez, Daniel Espinosa, Zou, Andy, Chidambaram, Muthu, Manik, Timothy, Haffenden, Hector, Stander, Dashiell, Dasouqi, Ali, Shen, Alexander, Duc, Emilien, Golshani, Bita, Stap, David, Uzhou, Mikalai, Zhidkovskaya, Alina Borisovna, Lewark, Lukas, Vincze, Mátyás, Wehr, Dustin, Tang, Colin, Hossain, Zaki, Phillips, Shaun, Muzhen, Jiang, Ekström, Fredrik, Hammon, Angela, Patel, Oam, Remy, Nicolas, Farhidi, Faraz, Medley, George, Mohammadzadeh, Forough, Peñaflor, Madellene, Kassahun, Haile, Friedrich, Alena, Sparrow, Claire, Sakal, Taom, Dhamane, Omkar, Mirabadi, Ali Khajegili, Hallman, Eric, Battaglia, Mike, Maghsoudimehrabani, Mohammad, Hoang, Hieu, Amit, Alon, Hulbert, Dave, Pereira, Roberto, Weber, Simon, Mensah, Stephen, Andre, Nathan, Peristyy, Anton, Harjadi, Chris, Gupta, Himanshu, Malina, Stephen, Albanie, Samuel, Cai, Will, Mehkary, Mustafa, Reidegeld, Frank, Dick, Anna-Katharina, Friday, Cary, Sidhu, Jasdeep, Kim, Wanyoung, Costa, Mariana, Gurdogan, Hubeyb, Weber, Brian, Kumar, Harsh, Jiang, Tong, Agarwal, Arunim, Ceconello, Chiara, Vaz, Warren S., Zhuang, Chao, Park, Haon, Tawfeek, Andrew R., Aggarwal, Daattavya, Kirchhof, Michael, Dai, Linjie, Kim, Evan, Ferret, Johan, Wang, Yuzhou, Yan, Minghao, Burdzy, Krzysztof, Zhang, Lixin, Franca, Antonio, Pham, Diana T., Loh, Kang Yong, Gul, Shreen, Chhablani, Gunjan, Du, Zhehang, Cosma, Adrian, White, Colin, Riblet, Robin, Saxena, Prajvi, Votava, Jacob, Vinnikov, Vladimir, Delaney, Ethan, Halasyamani, Shiv, Shahid, Syed M., Mourrat, Jean-Christophe, Vetoshkin, Lavr, Bacho, Renas, Ginis, Vincent, Maksapetyan, Aleksandr, de la Rosa, Florencia, Li, Xiuyu, Malod, Guillaume, Lang, Leon, Laurendeau, Julien, Adesanya, Fatimah, Portier, Julien, Hollom, Lawrence, Souza, Victor, Zhou, Yuchen Anna, Yalın, Yiğit, Obikoya, Gbenga Daniel, Arnaboldi, Luca, Rai, Bigi, Filippo, Bacho, Kaniuar, Clavier, Pierre, Recchia, Gabriel, Popescu, Mara, Shulga, Nikita, Tanwie, Ngefor Mildred, Lux, Thomas C. H., Rank, Ben, Ni, Colin, Yakimchyk, Alesia, Huanxu, Liu, Häggström, Olle, Verkama, Emil, Narayan, Himanshu, Gundlach, Hans, Brito-Santana, Leonor, Amaro, Brian, Vajipey, Vivek, Grover, Rynaa, Fan, Yiyang, Silva, Gabriel Poesia Reis e, Xin, Linwei, Kratish, Yosi, Łucki, Jakub, Li, Wen-Ding, Xu, Justin, Scaria, Kevin Joseph, Vargus, Freddie, Habibi, Farzad, Long, Lian, Rodolà, Emanuele, Robins, Jules, Cheng, Vincent, Grabb, Declan, Bosio, Ida, Fruhauff, Tony, Akov, Ido, Lo, Eve J. Y., Qi, Hao, Jiang, Xi, Segev, Ben, Fan, Jingxuan, Martinson, Sarah, Wang, Erik Y., Hausknecht, Kaylie, Brenner, Michael P., Mao, Mao, Jiang, Yibo, Zhang, Xinyu, Avagian, David, Scipio, Eshawn Jessica, Siddiqi, Muhammad Rehan, Ragoler, Alon, Tan, Justin, Patil, Deepakkumar, Plecnik, Rebeka, Kirtland, Aaron, Montecillo, Roselynn Grace, Durand, Stephane, Bodur, Omer Faruk, Adoul, Zahra, Zekry, Mohamed, Douville, Guillaume, Karakoc, Ali, Santos, Tania C. B., Shamseldeen, Samir, Karim, Loukmane, Liakhovitskaia, Anna, Resman, Nate, Farina, Nicholas, Gonzalez, Juan Carlos, Maayan, Gabe, Hoback, Sarah, Pena, Rodrigo De Oliveira, Sherman, Glen, Mariji, Hodjat, Pouriamanesh, Rasoul, Wu, Wentao, Demir, Gözdenur, Mendoza, Sandra, Alarab, Ismail, Cole, Joshua, Ferreira, Danyelle, Johnson, Bryan, Milliron, Hsiaoyun, Safdari, Mohammad, Dai, Liangti, Arthornthurasuk, Siriphan, Pronin, Alexey, Fan, Jing, Ramirez-Trinidad, Angel, Cartwright, Ashley, Pottmaier, Daphiny, Taheri, Omid, Outevsky, David, Stepanic, Stanley, Perry, Samuel, Askew, Luke, Rodríguez, Raúl Adrián Huerta, Dendane, Abdelkader, Ali, Sam, Lorena, Ricardo, Iyer, Krishnamurthy, Salauddin, Sk Md, Islam, Murat, Gonzalez, Juan, Ducey, Josh, Campbell, Russell, Somrak, Maja, Mavroudis, Vasilios, Vergo, Eric, Qin, Juehang, Borbás, Benjámin, Chu, Eric, Lindsey, Jack, Radhakrishnan, Anil, Jallon, Antoine, McInnis, I. M. J., Hoover, Alex, Möller, Sören, Bian, Song, Lai, John, Patwardhan, Tejal, Yue, Summer, Wang, Alexandr, and Hendrycks, Dan

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achieve over 90\% accuracy on popular benchmarks like MMLU, limiting informed measurement of state-of-the-art LLM capabilities. In response, we introduce Humanity's Last Exam (HLE), a multi-modal benchmark at the frontier of human knowledge, designed to be the final closed-ended academic benchmark of its kind with broad subject coverage. HLE consists of 3,000 questions across dozens of subjects, including mathematics, humanities, and the natural sciences. HLE is developed globally by subject-matter experts and consists of multiple-choice and short-answer questions suitable for automated grading. Each question has a known solution that is unambiguous and easily verifiable, but cannot be quickly answered via internet retrieval. State-of-the-art LLMs demonstrate low accuracy and calibration on HLE, highlighting a significant gap between current LLM capabilities and the expert human frontier on closed-ended academic questions. To inform research and policymaking upon a clear understanding of model capabilities, we publicly release HLE at https://lastexam.ai., Comment: 25 pages, 6 figures

Published
2025

5. STABLE trial of spectacle provision and driving safety among myopic motorcycle users in Vietnam: study protocol for a stepped-wedge, cluster randomised trial

Author

Le, Vinh Chi, To, Kien Gia, Le, Van Dat, Nguyen, Le, MacKenzie, Graeme, Sigwadhi, Lovemore Nyasha, Piyasena, Prabhath, Tran, Mai, Chan, Ving Fai, Khanna, Rohit C., Clarke, Mike, Lohfeld, Lynne, Dickey, Heather, Azuara-Blanco, Augusto, Mettla, Asha Latha, Rayasam, Sridevi, Doan, Han Thi Ngoc, Van Do, Dung, Le, Phuoc Hong, Klauer, Charlie, Hanowski, Richard, Bowden, Zeb, Murphy, Lynn, Thompson, Joanne, McMullan, Susan, McDowell, Cliona, Narayanan, Raja, Little, Julie-Anne, Ha, Huong Thu, Yoon, Sangchul, Goel, Rahul, Luong, Lan, Nguyen, Xuan, and Congdon, Nathan

Published
2024
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7. Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography

Author

Tuan, Nguyen, Nguyen, Phi, Tran, Dai, Pham, Hung, Nguyen, Quang, Le, Thanh, Van, Hanh, Do, Bach, Tran, Phuong, Le, Vinh, Nguyen, Thuy, Tran, Long, and Pham, Hieu

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Early detection and localization of myocardial infarction (MI) can reduce the severity of cardiac damage through timely treatment interventions. In recent years, deep learning techniques have shown promise for detecting MI in echocardiographic images. However, there has been no examination of how segmentation accuracy affects MI classification performance and the potential benefits of using ensemble learning approaches. Our study investigates this relationship and introduces a robust method that combines features from multiple segmentation models to improve MI classification performance by leveraging ensemble learning. Our method combines myocardial segment displacement features from multiple segmentation models, which are then input into a typical classifier to estimate the risk of MI. We validated the proposed approach on two datasets: the public HMC-QU dataset (109 echocardiograms) for training and validation, and an E-Hospital dataset (60 echocardiograms) from a local clinical site in Vietnam for independent testing. Model performance was evaluated based on accuracy, sensitivity, and specificity. The proposed approach demonstrated excellent performance in detecting MI. The results showed that the proposed approach outperformed the state-of-the-art feature-based method. Further research is necessary to determine its potential use in clinical settings as a tool to assist cardiologists and technicians with objective assessments and reduce dependence on operator subjectivity. Our research codes are available on GitHub at https://github.com/vinuni-vishc/mi-detection-echo.

Published
2023

10. Initial Design and Implementation of an Edge-to-Edge LoRaWAN Data Collection System

Author

Carthen, Chase, Estreito, Zach, Le, Vinh, Boehm, Jehren, Strachan, Scotty, Tavakkoli, Alireza, Harris, Frederick C., Jr., Dascalu, Sergiu M., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Latifi, Shahram, editor

Published
2024
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11. Options Matter: Exploring VR Input Fatigue Reduction

Author

Wilson, Michael, Scully, Levi, Le, Vinh, Harris, Frederick, Jr., Chu, Pengbo, Dascalu, Sergiu, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Latifi, Shahram, editor

Published
2024
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13. Building the Shortest Path Database in Urban Traffic Network Using RAO Algorithm

Author

Thinh, Le Vinh, Huan, Tran Thien, Long, Nguyen Van, Goos, Gerhard, Founding 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, Bouzefrane, Samia, editor, Banerjee, Soumya, editor, Mourlin, Fabrice, editor, Boumerdassi, Selma, editor, and Renault, Éric, editor

Published
2024
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14. Overview of Coastal Protection Structures in the Mekong River Delta

Author

An, Le Vinh, Thanh, Nguyen Viet, Van Hai, Pham, Lai, Trinh Dinh, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Nguyen-Xuan, Tung, editor, Nguyen-Viet, Thanh, editor, Bui-Tien, Thanh, editor, Nguyen-Quang, Tuan, editor, and De Roeck, Guido, editor

Published
2024
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15. Hydrodynamic Modelling of New Segment Channel to Navigation Channel in Hau River, Vietnam

Author

Thanh, Nguyen Viet, An, Le Vinh, Chi, Thai Thi Kim, Phong, Nguyen Dang, Binh, Hoang Nam, Tien, Nguyen Duy, Phuc, Bui Vinh, Lai, Trinh Dinh, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Nguyen-Xuan, Tung, editor, Nguyen-Viet, Thanh, editor, Bui-Tien, Thanh, editor, Nguyen-Quang, Tuan, editor, and De Roeck, Guido, editor

Published
2024
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17. Enterprise risk management and firm performance: Exploring the roles of knowledge, technology, and supply chain

Author

Le Vinh Quang, Nguyen Ngoc-Long, and Pham Xuan Giang

Subjects
enterprise risk management, firm performance, knowledge management, supply chain management, technology adoption, Vietnam, Business, HF5001-6182
Abstract

Risk management has become crucial for organizations in the current era. Therefore, this study assesses the impact of Enterprise Risk Management (ERM) on an organization’s performance and examines how knowledge management and technology adoption mediate this impact, along with the moderating effect of supply chain resilience based on the resource-based view and dynamic capabilities theory. Utilizing a questionnaire-based survey, data were collected from 297 respondents in Ho Chi Minh City, Binh Duong, and Dong Nai, Vietnam, by cluster random sampling. The data were statistically analyzed using the partial least squares method. The results indicated a positive effect of ERM on financial performance, while the association with non-financial performance lacked significance. Knowledge management and technology adoption fully mediated the positive impact of ERM on non-financial performance and partially mediated its relationship with financial performance. Furthermore, supply chain resilience strengthened the positive link between ERM and financial performance. In conclusion, these findings contribute to advancing the comprehension of the mechanisms and dynamics involved in knowledge management and technology adoption as mediators and supply chain resilience as a moderator, regarding an emerging country. The study enriches the risk management literature and significantly contributes to enhancing firm effectiveness.

Published
2024
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19. Assessing the soil physical and chemical properties of long-term pomelo orchard based on tree growth

Author

Linh Tran Ba, Thang La Cao, Khoi Chau Minh, Phuong Nguyen Thi Kim, and Thuc Le Vinh

Subjects
field capacity, ph, organic matter, soil compaction, Agriculture, Agriculture (General), S1-972
Abstract

The investigation in three groups of pomelo trees (good, average, bad) was conducted. Each group included 15 orchards. The number of soil samples collected for analysis is 15 samples × 2 depths (0–15 cm and 15–30 cm) × 3 groups of plants = 90 soil samples. The results indicated that the soil texture of the good pomelo orchard group and the average pomelo orchard group is silty clay loam, and the bad pomelo orchard group has a silty clay. The average pH value in the bad pomelo orchard group is lower than the average pomelo orchard group and the good pomelo orchard group at both soil depths of 0–15 cm and 15–30 cm. The soil EC of the three groups of pomelo orchards is not different at depths of 0–15 cm and 15–30 cm and does not affect the plants. The average organic matter content at both soil depths 0–15 cm and 15–30 cm of the good pomelo orchard group shows the highest organic matter value. Soil bulk density in the group of bad pomelo orchards had the highest value at both depths of 0–15 cm and 15–30 cm. The porosity of the good pomelo orchard group has the highest value at two depths, 0–15 cm and 15–30 cm. Field capacity of good pomelo orchards have the highest values at both depths of 0–15 cm and 15–30 cm. The K sat at a depth of 0–15 cm of the good pomelo orchard group is quite slow, while the average pomelo orchard group and the bad pomelo orchard group are at a slow level. The bad physical and chemical properties had negative effects on pomelo growth.

Published
2024
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20. Principal Leadership and Teacher Professional Development in a Vietnamese High School for Gifted Students: Perspectives into Practice

Author

Tran, Hai Ngoc, Ha, Xuan Van, Le, Vinh Anh, Nguyen, An Nhu, and Pham, Kien The

Abstract

Teacher professional development (TPD) is an important component of enhancing student learning and school education quality. Vietnamese Ministry of Education and Training is reforming education, including curricula, teaching methods, and textbooks. Many requirements have to been done to effectively implement the reform, and TPD is considered a significant contribution. Using data from an in-depth interview with the principal, teacher questionnaires, and school policy-related documents, this qualitative case-study research in a selected high school for gifted students in Central Vietnam aimed to find out how TPD had been implemented in response to education reforms in Vietnamese high schools. TPD was widely perceived and respected by the principal and teachers in this case study, and these positive perspectives were transferred into practice with numerous effectively employed TPD strategies at this high school for students' enhanced learning and achievements.

Published
2021

26. Platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio as predictors of refractory anaphylaxis

Author

Le Vinh Nghi, MD, Nguyen Hoang Phuc, MD, and Pham Dang Hai, MD, PhD

Subjects
Anaphylaxis, Refractory anaphylaxis, Adrenaline, Platelet-to-lymphocyte ratio, Neutrophil-to-lymphocyte ratio, Immunologic diseases. Allergy, RC581-607
Abstract

Background: Refractory anaphylaxis poses an ongoing, lethal hypersensitivity response that unpredictably involves multiple organs despite appropriate intramuscular (IM) adrenaline injections. Studies on the association of the platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) concerning anaphylactic severity have yet to be carried out. The study aimed to evaluate the association between blood PLR and NLR levels and refractory anaphylaxis. Methods: We carried out a retrospective cross-sectional study in which medical records of patients with anaphylaxis who sought urgent care at the Emergency Department (ED) of Tertiary Hospital in Hanoi, Vietnam, were evaluated. Based on the United Kingdom Resuscitation Council guidelines in 2021, patients were classified as refractory anaphylaxis if they needed more than two appropriate doses of intramuscular adrenaline for anaphylactic symptoms resolution. Clinical data and laboratory results were obtained in the medical records. Logistic regression analysis determined the association between contributing factors and refractory anaphylaxis. Results: One-hundred eighteen adults (age 51.80 ± 18.25 years) were analyzed, including 38 refractory anaphylaxis patients (32.2%). Refractory anaphylaxis patients exhibited notably elevated platelet-to-lymphocyte ratio (PLR) (P = 0.006) and increased neutrophil-to-lymphocyte ratio (NLR) (P

Published
2024
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27. Supplementation of P-solubilizing purple nonsulfur bacteria, Rhodopseudomonas palustris improved soil fertility, P nutrient, growth, and yield of Cucumis melo L.

Author

Xuan Ly Ngoc Thanh, Huyen Nguyen Phuong Truc, Thu Le Thi My, Thuy Vo Thi Bich, Tuan Le Minh, Quang Le Thanh, Dao Nguyen Thi Xuan, Thuc Le Vinh, and Khuong Nguyen Quoc

Subjects
bioremediation, canary melon, pnsb, plant growth promotion, phosphorus fertilizer, sustainable agriculture, Agriculture, Agriculture (General), S1-972
Published
2024
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34. Characterization of Novel Species of Potassium-Dissolving Purple Nonsulfur Bacteria Isolated from In-Dyked Alluvial Upland Soil for Maize Cultivation

Author

Le Thi My Thu, Ly Ngoc Thanh Xuan, Tran Chi Nhan, Le Thanh Quang, Nguyen Duc Trong, Vo Minh Thuan, Tran Trong Khoi Nguyen, Phan Chi Nguyen, Le Vinh Thuc, and Nguyen Quoc Khuong

Subjects
alluvial soil in dykes, staple crop, plant-growth-promoting substances, potassium solubilization, potassium uptake, Science
Abstract

Potassium (K) is immobilized within the clay minerals, making it unavailable for plant use. Therefore, the current study aimed to (i) select isolates of purple nonsulfur bacteria that can dissolve K (K-PNSB) and (ii) evaluate the production of plant-growth-promoting substances by the K-PNSB isolates. The results revealed that from in-dyked alluvial soils in hybrid maize fields, 61 K-PNSB isolates were obtained under the pH 5.50 conditions. The total dissolved K content (Kdis) by the 61 K-PNSB isolates fluctuated from 56.2 to 98.6 mg L−1. Therein, three isolates, including M-Sl-09, M-So-11, and M-So-14 had Kdis of 48.1–48.8 mg L−1 under aerobic dark condition (ADC) and 47.6–49.7 mg L−1 under microaerobic light condition (MLC). Moreover, these three isolates can also fix nitrogen (19.1–21.5 mg L−1 and 2.64–7.24 mg L−1), solubilize Ca-P (44.3–46.8 mg L−1 and 0.737–6.965 mg L−1), produce indole-3-acetic acid (5.34–7.13 and 2.40–3.23 mg L−1), 5-aminolevulinic acid (1.85–2.39 and 1.53–2.47 mg L−1), siderophores (1.06–1.52 and 0.92–1.26 mg L−1), and exopolymeric substances (18.1–18.8 and 52.0–56.0%), respectively, under ADC and MLC. The bacteria were identified according to their 16S rDNA as Cereibacter sphaeroides M-Sl-09, Rhodopseudomonas thermotolerans M-So-11, and Rhodospeudomonas palustris M-So-14. These potential bacteria should be further investigated as a plant-growth-promoting biofertilizer.

Published
2024
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35. Flavokawain A Reduces Tumor-Initiating Properties and Stemness of Prostate Cancer

Author

Song, Liankun, Mino, Merci, Yamak, Jana, Nguyen, Vyvyan, Lopez, Derron, Pham, Victor, Fazelpour, Ali, Le, Vinh, Fu, Dongjun, Tippin, Matthew, Uchio, Edward, and Zi, Xiaolin

Subjects
Stem Cell Research - Nonembryonic - Non-Human, Stem Cell Research, Urologic Diseases, Nutrition, Complementary and Integrative Health, Aging, Cancer, Prostate Cancer, Flavokawain A, Chemoprevention, prostate cancer, cancer stem cells, Neddylation, Oncology and Carcinogenesis
Abstract

We have previously demonstrated the in vivo chemopreventive efficacy of flavokawain A (FKA), a novel chalcone from the kava plant, in prostate carcinogenesis models. However, the mechanisms of the anticarcinogenic effects of FKA remain largely unknown. We evaluated the effect of FKA on prostate tumor spheroid formation by prostate cancer stem cells, which were sorted out from CD44+/CD133+ prostate cancer cells 22Rv1 and DU145. FKA treatment significantly decreased both the size and numbers of the tumor spheroids over different generations of spheroid passages. In addition, the dietary feeding of FKA-formulated food to Nonobese diabetic/severe combined immunodeficiency (NOD/SCID) mice bearing CD44+/CD133+ 22Rv1 xenograft tumors resulted in a significant reduction of tumor growth compared to those fed with vehicle control food-fed mice. Furthermore, the expression of stem cell markers, such as Nanog, Oct4, and CD44, were markedly downregulated in both tumor spheroids and tumor tissues. We also observed that FKA inhibits Ubc12 neddylation, c-Myc, and keratin-8 expression in both CD44+/CD133+ prostate tumor spheroids and xenograft tumors. Our results suggest that FKA can reduce the tumor-initiating properties and stemness of prostate cancer, which provides a new mechanism for the chemoprevention efficacy of FKA.

Published
2022

36. Influence of purple non-sulfur bacterial augmentation on soil nutrient dynamics and rice (Oryza sativa) growth in acidic saline-stressed environments

Author

Nguyen Quoc Khuong, Nguyen Minh Nhat, Le Thi My Thu, and Le Vinh Thuc

Subjects
Exopolymeric substances, Purple non-sulfur bacteria, Saline watering, Rice, Medicine, Biology (General), QH301-705.5
Abstract

The aim of the current study was to assess the potency of the exopolymeric substances (EPS)-secreting purple non-sulfur bacteria (PNSB) on rice plants on acidic salt-affected soil under greenhouse conditions. A two-factor experiment was conducted following a completely randomized block design. The first factor was the salinity of the irrigation, and the other factor was the application of the EPS producing PNSB (Luteovulum sphaeroides EPS18, EPS37, and EPS54), with four replicates. The result illustrated that irrigation of salt water at 3–4‰ resulted in an increase in the Na+ accumulation in soil, resulting in a lower rice grain yield by 12.9–22.2% in comparison with the 0‰ salinity case. Supplying the mixture of L. sphaeroides EPS18, EPS37, and EPS54 increased pH by 0.13, NH4+ by 2.30 mg NH4+ kg−1, and available P by 8.80 mg P kg−1, and decreased Na+ by 0.348 meq Na+ 100 g−1, resulting in improvements in N, P, and K uptake and reductions in Na uptake, in comparison with the treatment without bacteria. Thus, the treatments supplied with the mixture of L. sphaeroides EPS18, EPS37, and EPS54 resulted in greater yield by 27.7% than the control treatment.

Published
2024
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39. Generalized EEG Data Acquisition and Processing System

Author

Le, Vinh D., Carthen, Chase D., Kamaruddin, Norhaslinda, Tavakkoli, Alireza, Dascalu, Sergiu M., Harris, Frederick C., Jr., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Latifi, Shahram, editor

Published
2023
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41. Low energy housing for the hot humid climate of Vietnam : the value of a passive house approach

Author

Le, Vinh Tien and Pitts, Adrian

Subjects
TD Environmental technology. Sanitary engineering, TH Building construction
Abstract

In Vietnam, the climate is such that creating thermal comfort inside building consumes significant energy. Residential buildings are responsible for 35% of electricity consumption and 27% of total energy use in the country. Therefore, in the context of ongoing global warming and energy crises, there is an urgent need to use energy efficiently to create thermal comfort in Vietnamese housing. This study aims to identify a new approach, which is based on the Passive House methodology, as an alternative solution to conventional natural ventilation design and to support the development of more robust dwellings in Vietnam. This study firstly carried out a thermal comfort investigation to supplement the modest thermal comfort database of Vietnam. The thermal comfort zone of Vietnamese people was found to range 23.7 - 29.6°C, and this was used as an important criterion to evaluate indoor thermal conditions of Vietnamese dwellings. A field study was undertaken to examine existing conditions of Vietnamese housing. The results indicated a poor thermal performance of existing housing with houses failing to satisfy thermal comfort in the hot season. Based on the data collected from the field study and a complementary survey on household appliances and energy consumption, two typical terraced and detached houses were modelled. The simulations of whole-year thermal performance indicated that a significant amount of energy was required to maintain thermal comfort in the existing housing stock. To improve the performance of existing housing, passive design techniques were applied. While these techniques significantly reduced the cooling demand, high indoor humidity was a continuing disadvantage of conventional naturally ventilated dwellings and added to other indoor air quality concerns in polluted high-density areas. Consequently, the Passive House approach was proposed as an advance alternative solution for low energy housing in Vietnam. To investigate the potential of the Passive House approach, the housing models were improved to meet the Passive House standard. The standard was adapted to the hot humid climate of Vietnam with a higher thermal comfort zone, higher humidity limit and lower envelope air tightness. Substantial energy saving of the Passive House dwellings were demonstrated compared to the existing houses. Subsequently, a parametric simulation, based on key influencing building parameters, was used to calculate opportunities for Passive House dwellings in Vietnam. Based on the simulation outcomes, design guidance for Passive House dwellings was proposed. A questionnaire survey was carried out with 71 professionals to assess the value of the guidance. The results indicate that the Passive House approach should be further researched and developed in Vietnam, and that the proposed design guidance is a useful document to aid decision making at early stage design.

Published
2021

46. Geographic Information System-Based Approach and Analysis of Housing Mismatches in Searches during Housing Selection

Author

To Quyen Le and Le-Vinh-Lam Doan

Subjects
applied GIS, housing market, house price, housing search, housing mismatch, Building construction, TH1-9745
Abstract

This study aimed to explore the spatial interaction between search flow and house price levels. It utilized migration flow data from 2011 and house price data from the same year in Greater Manchester, United Kingdom. The methodology included Chi-square tests and a series of visual maps to explore and visualize the relationship between current areas and search areas. The study examined five house price ranges with matches and mismatches between search patterns and current patterns and tried to illuminate the underlying causes. The research results could prove beneficial for policymakers and planners in discerning distinct migratory patterns and geographical regions, thereby facilitating the formulation of well-informed decisions.

Published
2024
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50. Leadership Styles and Innovation Performance: The Role of Coopetition Capability and In-Learning in Financial Service Firms

Author

Saythongkeo, Vilay, Le, Vinh D., and Tran, Lobel Trong Thuy

Abstract

Profound technological changes and high network levels have triggered competitive innovations and leadership style among firms. However, few studies have explored the leadership style needed to innovate within the duality of coopetition capabilities and in-learning. Therefore, the authors explore how leadership style affects innovation performance in the context of financial service firms. Using a PLS analytical approach and dynamic capability perspective (DCP), the authors find that coopetition capability positively mediates the relationship between leadership style and innovation performance. The finding also indicates that in-learning negatively moderates the relationship between coopetition capability and innovation performance.

Published
2022
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