Zobrazeno 1 - 10
of 1 316
pro vyhledávání: '"Wyeth, P."'
Autor:
Li, Ziguang, Huang, Chao, Wang, Xuliang, Hu, Haibo, Wyeth, Cole, Bu, Dongbo, Yu, Quan, Gao, Wen, Liu, Xingwu, Li, Ming
Modern data compression methods are slowly reaching their limits after 80 years of research, millions of papers, and wide range of applications. Yet, the extravagant 6G communication speed requirement raises a major open question for revolutionary ne
Externí odkaz:
http://arxiv.org/abs/2407.07723
Autor:
Alissandra de Moura Gomes, Terri L. Petkau, Andrea J. Korecki, Oriol Fornes, Adriana Galvan, Ge Lu, Austin M. Hill, Siu Ling Lam, Anqi Yao, Rachelle A. Farkas, Wyeth W. Wasserman, Yoland Smith, Elizabeth M. Simpson, Blair R. Leavitt
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Compact cell type-specific promoters are important tools for basic and preclinical research and clinical delivery of gene therapy. In this work, we designed novel MiniPromoters to target D1 and D2 type dopaminoceptive medium spiny neurons in
Externí odkaz:
https://doaj.org/article/ccbb413e18624dfaadafe59f90e06ce7
Autor:
Wyeth, Cole, Sturtivant, Carl
Inspired by Solomonoffs theory of inductive inference, we propose a prior based on circuit complexity. There are several advantages to this approach. First, it relies on a complexity measure that does not depend on the choice of UTM. There is one uni
Externí odkaz:
http://arxiv.org/abs/2306.14087
Autor:
Eric Chow, Alice Virani, Susan Pinkney, Fatema S Abdulhussein, Tibor van Rooij, Matthias Görges, Wyeth Wasserman, Jeffrey Bone, Holly Longstaff, Shazhan Amed
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e53657 (2024)
BackgroundCombining patient-generated health data and digital health platforms may improve patient experience and population health, mitigate rising health care costs, reduce clinician burnout, and enable health equity. However, lack of trust may be
Externí odkaz:
https://doaj.org/article/14347507974c4dbb9bd62256a92af859
We propose a novel quadratic programming formulation for estimating the corruption levels in group synchronization, and use these estimates to solve this problem. Our objective function exploits the cycle consistency of the group and we thus refer to
Externí odkaz:
http://arxiv.org/abs/2206.08994
Publikováno v:
Frontiers in Global Women's Health, Vol 5 (2024)
IntroductionLittle appears to be known regarding the work-related injury (WRI) experiences of migrants (those born in a country other than their identified host country) and specifically, women migrants.MethodsAs part of a wider PhD project investiga
Externí odkaz:
https://doaj.org/article/46fc2fe0a90c42f283f1f5a478bbb900
Mobile robots in unstructured, mapless environments must rely on an obstacle avoidance module to navigate safely. The standard avoidance techniques estimate the locations of obstacles with respect to the robot but are unaware of the obstacles' identi
Externí odkaz:
http://arxiv.org/abs/2107.06401
Autor:
Nikolai Schleussner, Pierre Cauchy, Vedran Franke, Maciej Giefing, Oriol Fornes, Naveen Vankadari, Salam A. Assi, Mariantonia Costanza, Marc A. Weniger, Altuna Akalin, Ioannis Anagnostopoulos, Thomas Bukur, Marco G. Casarotto, Frederik Damm, Oliver Daumke, Benjamin Edginton-White, J. Christof M. Gebhardt, Michael Grau, Stephan Grunwald, Martin-Leo Hansmann, Sylvia Hartmann, Lionel Huber, Eva Kärgel, Simone Lusatis, Daniel Noerenberg, Nadine Obier, Ulrich Pannicke, Anja Fischer, Anja Reisser, Andreas Rosenwald, Klaus Schwarz, Srinivasan Sundararaj, Andre Weilemann, Wiebke Winkler, Wendan Xu, Georg Lenz, Klaus Rajewsky, Wyeth W. Wasserman, Peter N. Cockerill, Claus Scheidereit, Reiner Siebert, Ralf Küppers, Rudolf Grosschedl, Martin Janz, Constanze Bonifer, Stephan Mathas
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Disease-causing mutations in genes encoding transcription factors (TFs) can affect TF interactions with their cognate DNA-binding motifs. Whether and how TF mutations impact upon the binding to TF composite elements (CE) and the interaction
Externí odkaz:
https://doaj.org/article/89617bbfc2d9437a8c22b2474e5ec08c
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-24 (2023)
Abstract Deep learning models such as convolutional neural networks (CNNs) excel in genomic tasks but lack interpretability. We introduce ExplaiNN, which combines the expressiveness of CNNs with the interpretability of linear models. ExplaiNN can pre
Externí odkaz:
https://doaj.org/article/5dc1fe360e0b4bc9bf55c6065e4d7237
We compute the firing rate of a leaky integrate-and-fire (LIF) neuron with stochastic conductance-based inputs in the limit when synaptic decay times are much shorter than the membrane time constant. A comparison of our analytical results to numeric
Externí odkaz:
http://arxiv.org/abs/2002.11181