Zobrazeno 1 - 10
of 2 527
pro vyhledávání: '"J, GAUTHIER"'
Autor:
S. Fiorenza, Y. Zheng, J. Purushe, T. J. Bock, J. Sarthy, D. H. Janssens, A. S. Sheih, E. L. Kimble, D. Kirchmeier, T. D. Phi, J. Gauthier, A. V. Hirayama, S. R. Riddell, Q. Wu, R. Gottardo, D. G. Maloney, J. Y. H. Yang, S. Henikoff, C. J. Turtle
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Chimeric antigen receptor-modified T cell (CAR-T) immunotherapy has revolutionised blood cancer treatment. Parsing the genetic underpinnings of T cell quality and CAR-T efficacy is challenging. Transcriptomics inform CAR-T state, but the nat
Externí odkaz:
https://doaj.org/article/99952e45b80a494cbf0a1c52b7763252
Autor:
Alfie Wearn, Stéfanie A. Tremblay, Christine L. Tardif, Ilana R. Leppert, Claudine J. Gauthier, Giulia Baracchini, Colleen Hughes, Patrick Hewan, Jennifer Tremblay-Mercier, Pedro Rosa-Neto, Judes Poirier, Sylvia Villeneuve, Taylor W. Schmitz, Gary R. Turner, R. Nathan Spreng, PREVENT-AD Research Group
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The neuromodulatory subcortical nuclei within the isodendritic core (IdC) are the earliest sites of tauopathy in Alzheimer’s disease (AD). They project broadly throughout the brain’s white matter. We investigated the relationship between
Externí odkaz:
https://doaj.org/article/d8062ce17ab54c72b84934986e6ff3ee
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Machine learning provides a data-driven approach for creating a digital twin of a system – a digital model used to predict the system behavior. Having an accurate digital twin can drive many applications, such as controlling autonomous sys
Externí odkaz:
https://doaj.org/article/261294193d8a4f1ca78cdfb8ec784e37
Autor:
Aud H. Halbritter, Vigdis Vandvik, Sehoya H. Cotner, William Farfan-Rios, Brian S. Maitner, Sean T. Michaletz, Imma Oliveras Menor, Richard J. Telford, Adam Ccahuana, Rudi Cruz, Jhonatan Sallo-Bravo, Paul Efren Santos-Andrade, Lucely L. Vilca-Bustamante, Matiss Castorena, Julia Chacón-Labella, Casper Tai Christiansen, Sandra M. Duran, Dagmar D. Egelkraut, Ragnhild Gya, Siri Vatsø Haugum, Lorah Seltzer, Miles R. Silman, Tanya Strydom, Marcus P. Spiegel, Agustina Barros, Kristine Birkeli, Mickey Boakye, Fernanda Chiappero, Adam Chmurzynski, Josef C. Garen, Joseph Gaudard, Tasha-Leigh J. Gauthier, Sonya R. Geange, Fiorella N. Gonzales, Jonathan J. Henn, Kristýna Hošková, Anders Isaksen, Laura H. Jessup, Will Johnson, Erik Kusch, Kai Lepley, Mackenzie Lift, Trace E. Martyn, Miguel Muñoz Mazon, Sara L. Middleton, Natalia L. Quinteros Casaverde, Jocelyn Navarro, Verónica Zepeda, Korina Ocampo-Zuleta, Andrea Carmeli Palomino-Cardenas, Samuel Pastor Ploskonka, Maria Elisa Pierfederici, Verónica Pinelli, Jess Rickenback, Ruben E. Roos, Hilde Stokland Rui, Eugenia Sanchez Diaz, Andrea Sánchez-Tapia, Alyssa Smith, Erickson Urquiaga-Flores, Jonathan von Oppen, Brian J. Enquist
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses
Externí odkaz:
https://doaj.org/article/d6a89709ccff4d92b1579f638f8d7687
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Reservoir computers are artificial neural networks that can be trained on small data sets, but require large random matrices and numerous metaparameters. The authors propose an improved reservoir computer that overcomes these limitations and shows ad
Externí odkaz:
https://doaj.org/article/a188e94135aa40e8af0b78655f0dc46a
Autor:
Sonya R. Geange, Jonathan vonOppen, Tanya Strydom, Mickey Boakye, Tasha‐Leigh J. Gauthier, Ragnhild Gya, Aud H. Halbritter, Laura H. Jessup, Sara L. Middleton, Jocelyn Navarro, Maria Elisa Pierfederici, Julia Chacón‐Labella, Sehoya Cotner, William Farfan‐Rios, Brian S. Maitner, Sean T. Michaletz, Richard J. Telford, Brian J. Enquist, Vigdis Vandvik
Publikováno v:
Ecology and Evolution, Vol 11, Iss 8, Pp 3577-3587 (2021)
Abstract As Open Science practices become more commonplace, there is a need for the next generation of scientists to be well versed in these aspects of scientific research. Yet, many training opportunities for early career researchers (ECRs) could be
Externí odkaz:
https://doaj.org/article/cc23b8e66d23498d8ae66fe91b4a8200
Publikováno v:
Harm Reduction Journal, Vol 18, Iss 1, Pp 1-9 (2021)
Abstract Background Indigenous communities in Canada face significant challenges with intergenerational trauma, which manifests in substance use disorders. There is consensus that connecting treatment approaches to culture, land, community, and spiri
Externí odkaz:
https://doaj.org/article/f4bd36d9694d47cdb89904ed99410f38
Publikováno v:
IEEE Access, Vol 9, Pp 44855-44867 (2021)
We introduce a Physically Unclonable Function (PUF) based on an ultra-fast chaotic network known as a Hybrid Boolean Network (HBN) implemented on a field programmable gate array. The network, consisting of $N$ coupled asynchronous logic gates display
Externí odkaz:
https://doaj.org/article/63346cb911644d138becac654a607eba
Publikováno v:
IEEE Access, Vol 9, Pp 146203-146213 (2021)
We introduce the waveform capture device (WCD), a flexible measurement system capable of recording complex digital signals on trillionth-of-a-second (ps) time scales. The WCD is implemented via modular code on an off-the-shelf field-programmable gate
Externí odkaz:
https://doaj.org/article/08a31150e08846ccabe15a6b249f7a81
Autor:
M. Shadman, C. Yeung, M. Redman, S. Y. Lee, D. H. Lee, S. Ra, D. Qian, C. Ujjani, B. Dezube, C. Poh, E. H. Warren, A. Chapuis, D. Green, A. Cowan, R. Cassaday, H.-P. Kiem, V. Chow, J. Gauthier, C. Turtle, R. Lynch, S. Smith, A. Gopal, D. Maloney, B. Till
Publikováno v:
HemaSphere, Vol 6, Pp 108-109 (2022)
Externí odkaz:
https://doaj.org/article/c3fd61abcae845f5867a36b1d3c9750a