Childhood encephalitis in the Greater Mekong region (the SouthEast Asia Encephalitis Project): a multicentre prospective study

Autor: Jean David Pommier, MD, Chris Gorman, PhD, Yoann Crabol, MD, Kevin Bleakley, PhD, Heng Sothy, MD, Ky Santy, MD, Huong Thi Thu Tran, MD, Lam Van Nguyen, MD, Em Bunnakea, MD, Chaw Su Hlaing, MD, Aye Mya Min Aye, MD, Julien Cappelle, DVM, Magali Herrant, PhD, Patrice Piola, MD, Bruno Rosset, Veronique Chevalier, DVM, Arnaud Tarantola, MD, Mey Channa, MD, Jerome Honnorat, MD, Anne Laure Pinto, MSc, Sayaphet Rattanavong, MD, Manivanh Vongsouvath, MD, Mayfong Mayxay, MD, Sommanikhone Phangmanixay, MD, Khounthavy Phongsavath, MD, Ommar Swe Tin, MD, Latt Latt Kyaw, MD, Htay Htay Tin, MD, Kyaw Linn, MD, Thi Mai Hung Tran, MPH, Philippe Pérot, PhD, Nguyen Thi Thu Thuy, PhD, Nguyen Hien, MD, Phuc Huu Phan, MD, Philippe Buchy, MD, Philippe Dussart, PharmD, Denis Laurent, PharmD, Marc Eloit, DVM, Audrey Dubot-Pérès, PhD, Olivier Lortholary, MD, Xavier de Lamballerie, MD, Paul N Newton, FRCP, Marc Lecuit, Prof, Philippe Buchy, Em Bunnakea, Julien Cappelle, Mey Channa, Veronique Chevalier, Yoann Crabol, Xavier de Lamballerie, Audrey Dubot-Pérès, Philippe Dussart, Marc Eloit, Chris Gorman, Magali Herrant, Nguyen Hien, Chaw Su Hlaing, Jérôme Honnorat, Tran Thi Mai Hung, Tran Thi Thu Huong, Latt Latt Kyaw, Nguyen Van Lam, Denis Laurent, Marc Lecuit, Kyaw Linn, Olivier Lortholary, Mayfong Mayxay, Aye Mya Min Aye, Paul Newton, Philippe Perot, Sommanikhone Phangmanixay, Khounthavy Phongsavath, Phan Huu Phuc, Anne-Laurie Pinto, Patrice Piola, Jean-David Pommier, Sayaphet Rattanavong, Ky Santy, Heng Sothy, Arnaud Tarantola, Nguyen Thi Thu Thuy, Htay Htay Tin, Ommar Swe Tin, Manivanh Vongsouvath, Pham Nhat An, Dang Duc Anh, Pascal Bonnet, Kimrong Bun, Danoy Chommanam, Viengmon Davong, Patrice Debré, Jean-François Delfraissy, Christian Devaux, Anousone Douangnouvong, Veasna Duong, Benoit Durand, Chanreaksmey Eng, Catherine Ferrant, Didier Fontenille, Lukas Hafner, Le Thanh Hai, Do Thu Huong, Marc Jouan, May July, Magali Lago, Jean-Paul Moatti, Bernadette Murgue, Khin Yi Oo, MengHeng Oum, Khansoudaphone Phakhounthong, Anh Tuan Pham, Do Quyen, Malee Seephonelee, Maud Seguy, Bountoy Sibounheunang, Kanarith Sim, Luong Minh Tan, Cho Thair, Win Thein, Phung Bich Thuy, Hervé Tissot-Dupont, Malavanh Vongsouvath

Publikováno v: The Lancet Global Health, Vol 10, Iss 7, Pp e989-e1002 (2022)

Summary: Background: Encephalitis is a worldwide public health issue, with a substantially high burden among children in southeast Asia. We aimed to determine the causes of encephalitis in children admitted to hospitals across the Greater Mekong regi

Externí odkaz: https://doaj.org/article/4e741c1b79f84afebb500686730470de

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers

Autor: Jia, Hong, Kwon, Young D., Ma, Dong, Pham, Nhat, Qendro, Lorena, Vu, Tam, Mascolo, Cecilia

Traditional machine learning techniques are prone to generating inaccurate predictions when confronted with shifts in the distribution of data between the training and testing phases. This vulnerability can lead to severe consequences, especially in

Externí odkaz: http://arxiv.org/abs/2402.09264

Distributed Learning of Mixtures of Experts

Autor: Chamroukhi, Faïcel, Pham, Nhat Thien

In modern machine learning problems we deal with datasets that are either distributed by nature or potentially large for which distributing the computations is usually a standard way to proceed, since centralized algorithms are in general ineffective

Externí odkaz: http://arxiv.org/abs/2312.09877

Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods

Autor: Pham, Nhat-Hao, Vo, Khanh-Linh, Vu, Mai Anh, Nguyen, Thu, Riegler, Michael A., Halvorsen, Pål, Nguyen, Binh T.

Correlation matrix visualization is essential for understanding the relationships between variables in a dataset, but missing data can pose a significant challenge in estimating correlation coefficients. In this paper, we compare the effects of vario

Externí odkaz: http://arxiv.org/abs/2305.06044

TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval

Autor: Le, Trung-Nghia, Nguyen, Tam V., Le, Minh-Quan, Nguyen, Trong-Thuan, Huynh, Viet-Tham, Do, Trong-Le, Le, Khanh-Duy, Tran, Mai-Khiem, Hoang-Xuan, Nhat, Nguyen-Ho, Thang-Long, Nguyen, Vinh-Tiep, Diep, Tuong-Nghiem, Ho, Khanh-Duy, Nguyen, Xuan-Hieu, Tran, Thien-Phuc, Yang, Tuan-Anh, Tran, Kim-Phat, Hoang, Nhu-Vinh, Nguyen, Minh-Quang, Nguyen, E-Ro, Nguyen-Nhat, Minh-Khoi, To, Tuan-An, Huynh-Le, Trung-Truc, Nguyen, Nham-Tan, Luong, Hoang-Chau, Phong, Truong Hoai, Le-Pham, Nhat-Quynh, Pham, Huu-Phuc, Hoang, Trong-Vu, Nguyen, Quang-Binh, Nguyen, Hai-Dang, Sugimoto, Akihiro, Tran, Minh-Triet

3D object retrieval is an important yet challenging task that has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and ske

Externí odkaz: http://arxiv.org/abs/2304.06053