Publications

Author Correction: BCG immunization induces CX3CR1hi effector memory T cells to provide cross-protection via IFN-γ-mediated trained immunity.
Kim A. Tran
Erwan Pernet
Mina Sadeghi
Jeffrey Downey
Julia Chronopoulos
Elizabeth Lapshina
Oscar Tsai
Eva Kaufmann
Jun Ding
Maziar Divangahi
2024-01-31
Nature Immunology (publié)
doi.org
Co-developing The Canadian MPS Registry: A longitudinal rare disease patient registry
John J. Mitchell
Michal Inbar-Feigenberg
Kim Angel
Pranesh Chakraborty
Monica Lamoureux
John Adams
Beth K. Potter
Sylvia Stockler-Ipsirolgu
Alison H. Howie
Alex Pace
Nancy J. Butcher
Cheryl Greenberg
Robin Hayeems
Anne-Marie Laberge
Jeff Round
Martin Offringa
Maryam Oskoui
Chelsea Ruth
Andreas Schulze
Kathy N. Speechley … (voir 4 de plus)
Kednapa Thavorn
Yannis Trakadis
Kumanan Wilson
Thierry Lacaze
2024-01-31
Molecular Genetics and Metabolism (publié)
doi.org
Family‐centred care interventions for children with chronic conditions: A scoping review
Andrea J. Chow
Ammar Saad
Zobaida Al‐Baldawi
Ryan Iverson
Becky Skidmore
Isabel Jordan
Nicole Pallone
Maureen Smith
Pranesh Chakraborty
Jamie Brehaut
Eyal Cohen
Sarah Dyack
Jane Gillis
Sharan Goobie
Cheryl Greenberg
Robin Hayeems
Brian Hutton
Michal Inbar-Feigenberg
Shailly Jain-Ghai
Sara Khangura … (voir 18 de plus)
Jennifer MacKenzie
John J. Mitchell
Zeinab Moazin
Stuart G. Nicholls
Amy Pender
Chitra Prasad
Andreas Schulze
Komudi Siriwardena
Rebecca N. Sparkes
Kathy N. Speechley
Sylvia Stockler
Monica Taljaard
Mari Teitelbaum
Yannis Trakadis
Clara Van Karnebeek
Jagdeep S. Walia
Kumanan Wilson
Beth K. Potter
2024-01-31
Health Expectations (publié)
doi.org
Improving Pediatric Trauma Education by Teaching Non-technical Skills: A Randomized Controlled Trial
Fabio Botelho
Ayla Gerk
Jason M. Harley
Dan Poenaru
2024-01-31
Journal of Pediatric Surgery (publié)
doi.org
Inter- and intra-year forest change detection and monitoring of aboveground biomass dynamics using Sentinel-2 and Landsat
Flavie Pelletier
Jeffrey A. Cardille
Michael A. Wulder
Joanne C. White
Txomin Hermosilla
2024-01-31
Remote Sensing of Environment (publié)
doi.org
Linking biodiversity, ecosystem function, and Nature’s contributions to people: a macroecological energy flux perspective
Ana Carolina Antunes
Emilio Berti
Ulrich Brose
Myriam R. Hirt
Dirk N. Karger
Louise M. J. O'Connor
Laura J. Pollock
Wilfried Thuiller
Benoit Gauzens
2024-01-31
Trends in Ecology & Evolution (publié)
doi.org
Machine Learning Informed Diagnosis for Congenital Heart Disease in Large Claims Data Source
Ariane J. Marelli
Chao Li
Aihua Liu
Hanh Nguyen
Harry Moroz
James M. Brophy
Liming Guo
David L. Buckeridge
Jian Tang
Archer Y. Yang
Yue Li
2024-01-31
JACC: Advances (publié)
doi.org
Model Collapse Demystified: The Case of Regression
Elvis Dopgima Dohmatob
Yunzhen Feng
Julia Kempe
In the era of proliferation of large language and image generation models, the phenomenon of "model collapse" refers to the situation whereb… (voir plus)y as a model is trained recursively on data generated from previous generations of itself over time, its performance degrades until the model eventually becomes completely useless, i.e the model collapses. In this work, we study this phenomenon in the setting of high-dimensional regression and obtain analytic formulae which quantitatively outline this phenomenon in a broad range of regimes. In the special case of polynomial decaying spectral and source conditions, we obtain modified scaling laws which exhibit new crossover phenomena from fast to slow rates. We also propose a simple strategy based on adaptive regularization to mitigate model collapse. Our theoretical results are validated with experiments.
2024-01-31
arXiv (publié)
doi.org
arxiv.org
Neural semantic tagging for natural language-based search in building information models: Implications for practice
Mehrzad Shahinmoghadam
S Ebrahimi Kahou
Ali Motamedi
2024-01-31
Computers in industry (Print) (publié)
doi.org
Properties and Styles of Software Technology Tutorials
Deeksha M. Arya
Jin L.C. Guo
Martin P. Robillard
A large number of tutorials for popular software development technologies are available online, and those about the same technology vary wid… (voir plus)ely in their presentation. We studied the design of tutorials in the software documentation landscape for five popular programming languages: Java, C#, Python, Javascript, and Typescript. We investigated the extent to which tutorial pages, i.e. resources, differ and report statistics of variations in resource properties. We developed a framework for characterizing resources based on their distinguishing attributes, i.e. properties that vary widely for the resource, relative to other resources. Additionally, we propose that a resource can be represented by its resource style, i.e. the combination of its distinguishing attributes. We discuss three techniques for characterizing resources based on our framework, to capture notable and relevant content and presentation properties of tutorial pages. We apply these techniques on a data set of 2551 resources to validate that our framework identifies valid and interpretable styles. We contribute this framework for reasoning about the design of resources in the online software documentation landscape.
2024-01-31
IEEE Transactions on Software Engineering (publié)
doi.org
Prospective evaluation of bleeding risk among thrombocytopenic patients admitted in intensive care unit.
Geoffroy HARIRI
Vincent Belossi
Louis Pérol
Louai Missri
Paul GABARRE
Vincent BONNY
Tomas URBINA
Jean-Luc Baudel
Bertrand GUIDET
Jérémie JOFFRE
Eric Maury
Guillaume Dumas
Hafid AIT-OUFELLA
2024-01-31
Journal of Critical Care (publié)
doi.org
Recent Excavation of Nanoethosomes in Current Drug Delivery.
Sankha Bhattacharya
Aishwarya Agrawal
Aalind Joshi
In the current era, the Transdermal delivery of bioactive molecules has become an area of research interest. The transdermal route of admini… (voir plus)stration enables direct entry of bioactive molecules into the systemic circulation with better and easy accessibility, bypassing the hepatic metabolism and improving patient compliance. Permeation through the skin has always been a barrier. To overcome this challenge, an efficient route by the vesicular system has been adopted so as to have better skin permeation of the bioactive molecules. A novel vesicular and non-invasive drug delivery system called Nanoethosomes was developed. Nanoethosomes are lipid-based vesicular carriers that are used for deeper permeation of the bioactive agents into the skin. The main components of Nanoethosomes are Phospholipids, water, and ethanol. High ethanol concentration in Nanoethosomes distinguishes them from other nano-formulation and results in deeper permeation and smaller vesicular size. This review article gives detailed information on the formulation techniques, and characterization parameters of nanoethosomes along with the research work done by various researchers in the same field. The compiled manuscript gives detailed elaboration about the various drugs used to treat different diseases which when incorporated in nanoethosomes resulted in better permeability and enhanced bioavailability.
2024-01-31
Current Drug Delivery (publié)
doi.org