Unsupervised Domain Adaptation for Constraining Star Formation Histories

Autor: Sankalp Gilda, Antoine de Mathelin, Sabine Bellstedt, Guillaume Richard

Publikováno v: Astronomy, Vol 3, Iss 3, Pp 189-207 (2024)

In astronomy, understanding the evolutionary trajectories of galaxies necessitates a robust analysis of their star formation histories (SFHs), a task complicated by our inability to observe these vast celestial entities throughout their billion-year

Externí odkaz: https://doaj.org/article/bc0b7d492bcf4ab09706d4e5a98521ab

Coxsackievirus A24 causing acute conjunctivitis in a 2023 outbreak in Vietnam

Autor: Huy Tran, Thao Ha, Linh Hoang, Yen Tran, Kevin Ruder, Lina Zhong, Cindi Chen, YuHeng Liu, Danny Yu, Thomas Abraham, Armin Hinterwirth, Michael Deiner, Travis C. Porco, Thomas M. Lietman, Thuy Doan, Gerami D. Seitzman, Lalitha Prajna, N. Venkatesh Prajna, Ramesh Gunasekaran, Sankalp Singh Sharma, Vishnu Teja, Meenu Chaudhary, Sanjeeta Sitaula, Ali Sié, Boubacar Coulibaly, Mamadou Bountogo, Thanapong Somkijrungroj, Vannarut Satitpitakul, Linh Hoàng Mai, Thảo Hạ Xuân, Cristhian A. Urzua, Fabian Vega, Felipe Salgado, Loreto Cuitino, Fernando Pérez Pérez, Jaime Macías Martínez, Van Charles Lansingh, Sukhumal Thanapaisal, Wipada Laovirojjanakul, George McKie, Program Officer, Kenia Chavez, Travis Redd, Winston Chamberlain, Angel Cheng, Vivien Tham, Wiwan Sansanayudh, Abba Kaka Hajia Yakoura, Abdou Amza, Abdoul Salam Youssoufou Souley, Adam Nouhou Diori, Beido Nassirou, Boubacar Kadri, Boubacar Mariama, Cissé Mamadou Ibrahim, Lamyne Aboubacar Roufaye, Ramatou Boulhassane, Saley Ali, Zakou Abdou, Lee Goren, Irit Bahar, Ruti Sella, Clare Kelliher, Laura Green, Hon Shing Ong, Jod Mehta, Yu-Chi Liu, Benjamin A. Pinsky, De-Kuang Hwang, Nai-Wen Fan, Hong Sheng Chiong, Javier Lacorzana, Maria Cabrera-Aguas, Stephanie Watson, Edmund Tsui, Nina M. Cherian, Rachel Feit-Leichman, Reginald E. Hughes, Jr, Tania Onclinx, Joseph K Privratsky, Carol Yu, Esmeralda McClean, Iliana Molina, David Liu, Elodie Lebas, Emily Colby, Gerami Seitzman, Thomas Lietman, Thuy Doan, Principal Investigator, Travis Porco, Stephen McLeod, Kuniyoshi Kanai, Meredith Whiteside, Steven Yeh, Tolulope Fashina, James Chodosh, Bridgit Tarkap, Jambi N. Garap, Magdalene Mangot, Edwin Amel, Fasihah Taleo, Johnson Kasso, Kalbule Willie, Madopule Nanu, Prudence Rymill, Anthony W. Solomon

Publikováno v: International Journal of Infectious Diseases, Vol 146, Iss , Pp 107133- (2024)

Objectives: To determine the associated pathogen during the 2023 conjunctivitis outbreak in Vietnam Methods: RNA-sequencing was used to identify pathogens before and during the outbreak. Results: 24 patients with infectious conjunctivitis between Mar

Externí odkaz: https://doaj.org/article/98f3ea148ae84c66b94e4832f902085e

Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system

Autor: Mahnaz Samadbeik, Andrew Staib, Justin Boyle, Sankalp Khanna, Emma Bosley, Daniel Bodnar, James Lind, Jodie A. Austin, Sarah Tanner, Yasaman Meshkat, Barbora de Courten, Clair Sullivan

Publikováno v: BMC Health Services Research, Vol 24, Iss 1, Pp 1-36 (2024)

Abstract Background Globally, emergency departments (EDs) are overcrowded and unable to meet an ever-increasing demand for care. The aim of this study is to comprehensively review and synthesise literature on potential solutions and challenges throug

Externí odkaz: https://doaj.org/article/1b934f960f844d5fac5d7a9d73a541a4

Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study

Autor: Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe

Publikováno v: JMIR Research Protocols, Vol 13, p e57981 (2024)

BackgroundPediatric asthma is a heterogeneous disease; however, current characterizations of its subtypes are limited. Machine learning (ML) methods are well-suited for identifying subtypes. In particular, deep neural networks can learn patient repre

Externí odkaz: https://doaj.org/article/b74db367afec49d098a801d3d058c4ba

Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions

Autor: Sankalp Gilda

Publikováno v: Astronomy, Vol 3, Iss 1, Pp 14-20 (2024)

Traditional spectral energy distribution (SED) fitting techniques face uncertainties due to assumptions in star formation histories and dust attenuation curves. We propose an advanced machine learning-based approach that enhances flexibility and unce

Externí odkaz: https://doaj.org/article/939a4764aa2f49c1bb8bfb20d634e2b5