Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity

Autor: R, Sujay, Perumal, Suki, Nagraj, Yash, Ghei, Anushka, S, Srinivas K

Question difficulty estimation remains a multifaceted challenge in educational and assessment settings. Traditional approaches often focus on surface-level linguistic features or learner comprehension levels, neglecting the intricate interplay of fac

Externí odkaz: http://arxiv.org/abs/2408.12850

pracpac: Practical R Packaging with Docker

Autor: Nagraj, V. P., Turner, Stephen D.

R packages are the fundamental units of reproducible code in R, providing a mechanism for distributing user-developed code, documentation, and data. Docker is a virtualization technology that allows applications and their dependencies to be distribut

Externí odkaz: http://arxiv.org/abs/2303.07876

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

Autor: Sarabeth M. Mathis, Alexander E. Webber, Tomás M. León, Erin L. Murray, Monica Sun, Lauren A. White, Logan C. Brooks, Alden Green, Addison J. Hu, Roni Rosenfeld, Dmitry Shemetov, Ryan J. Tibshirani, Daniel J. McDonald, Sasikiran Kandula, Sen Pei, Rami Yaari, Teresa K. Yamana, Jeffrey Shaman, Pulak Agarwal, Srikar Balusu, Gautham Gururajan, Harshavardhan Kamarthi, B. Aditya Prakash, Rishi Raman, Zhiyuan Zhao, Alexander Rodríguez, Akilan Meiyappan, Shalina Omar, Prasith Baccam, Heidi L. Gurung, Brad T. Suchoski, Steve A. Stage, Marco Ajelli, Allisandra G. Kummer, Maria Litvinova, Paulo C. Ventura, Spencer Wadsworth, Jarad Niemi, Erica Carcelen, Alison L. Hill, Sara L. Loo, Clifton D. McKee, Koji Sato, Claire Smith, Shaun Truelove, Sung-mok Jung, Joseph C. Lemaitre, Justin Lessler, Thomas McAndrew, Wenxuan Ye, Nikos Bosse, William S. Hlavacek, Yen Ting Lin, Abhishek Mallela, Graham C. Gibson, Ye Chen, Shelby M. Lamm, Jaechoul Lee, Richard G. Posner, Amanda C. Perofsky, Cécile Viboud, Leonardo Clemente, Fred Lu, Austin G. Meyer, Mauricio Santillana, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Michal Ben-Nun, Pete Riley, James Turtle, Chis Hulme-Lowe, Shakeel Jessa, V. P. Nagraj, Stephen D. Turner, Desiree Williams, Avranil Basu, John M. Drake, Spencer J. Fox, Ehsan Suez, Monica G. Cojocaru, Edward W. Thommes, Estee Y. Cramer, Aaron Gerding, Ariane Stark, Evan L. Ray, Nicholas G. Reich, Li Shandross, Nutcha Wattanachit, Yijin Wang, Martha W. Zorn, Majd Al Aawar, Ajitesh Srivastava, Lauren A. Meyers, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan L. Lewis, Madhav Marathe, Srinivasan Venkatramanan, Patrick Butler, Andrew Farabow, Naren Ramakrishnan, Nikhil Muralidhar, Carrie Reed, Matthew Biggerstaff, Rebecca K. Borchering

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)

Abstract Accurate forecasts can enable more effective public health responses during seasonal influenza epidemics. For the 2021–22 and 2022–23 influenza seasons, 26 forecasting teams provided national and jurisdiction-specific probabilistic predi

Externí odkaz: https://doaj.org/article/b22341a399b644b886f816887477dc5b

NEARER SCAN (LENO BESIK) evaluation of a task-sharing echocardiographic active case finding programme for rheumatic heart disease in Australia and Timor-Leste: protocol for a hybrid type II effectiveness-implementation study

Autor: Mike English, Alex Brown, James Marangou, Shobhana Nagraj, Jonathan Carapetis, Bo Remenyi, Karla Canuto, Jeffrey W Cannon, Paul Burgess, Peter Morris, Alex Kaethner, Anna Ralph, Jennifer Yan, Vicki Wade, Daniel Engelman, Andrew Steer, Judith M Katzenellenbogen, Bart J Currie, Benjamin Jones, Gavin Wheaton, David Simon, Holger Unger, Graham Hillis, Natasha J Howard, Joshua R Francis, Emma Haynes, Maida Stewart, Salvador Amaral, Alice Mitchell, Anferida Fernandes Monteiro, Marisa Gilles, Herculano Seixas, Joaquina Maurays, Jade Neave, Chantelle Pears, Meghan Bailey, Maria Tanesi, Helder Neto, Jacqui Williamson, Jessica de Dassel, Simon Slota-Kan

Publikováno v: BMJ Open, Vol 14, Iss 10 (2024)

Introduction Rheumatic heart disease (RHD) is underdiagnosed globally resulting in missed treatment opportunities and adverse clinical outcomes. We describe the protocol for a study which aims to co-design, implement and conduct an evaluation of a ta

Externí odkaz: https://doaj.org/article/b4ab7a24c91c41949d475bc71b6d0b21

A NOVEL AI TECHNIQUE FOR FORECASTING THE COMPRESSIBLE STRENGTH OF PAVEMENT WITH ASH PARTICLES

Autor: Raman Batra, Ashwini Kumar, Nagraj Patil, Dinesh Kumar

Publikováno v: Proceedings on Engineering Sciences, Vol 6, Iss 1, Pp 291-300 (2024)

Understanding cementitious composites' mechanical properties, particularly compressive strength (CS), is crucial for safety, with AI approaches being particularly useful for forecasting CS with ash particles.In this study, we proposed the ensemble ho

Externí odkaz: https://doaj.org/article/69e9a9482aa046999c45c92c6705a4ef