Results 71 to 80 of about 1,180,741 (266)

Domain‐specific feature recalibration and alignment for multi‐source unsupervised domain adaptation

IET Computer Vision, 2023
Traditional unsupervised domain adaptation (UDA) usually assumes that the source domain has labels and the target domain has no labels. In a real environment, labelled source domain data usually comes from multiple different distributions. To handle this
Mengzhu Wang, Dingyao Chen, Fangzhou Tan, Tianyi Liang, Long Lan, Xiang Zhang, Zhigang Luo   +6 more
doaj   +1 more source

Consistent Assistant Domains Transformer for Source-Free Domain Adaptation

IEEE Transactions on Image Processing
Source-free domain adaptation (SFDA) aims to address the challenge of adapting to a target domain without accessing the source domain directly. However, due to the inaccessibility of source domain data, deterministic invariable features cannot be obtained.
Renrong Shao, Wei Zhang 0056, Kangyang Luo, Qin Li 0002, Jun Wang 0006   +4 more
openaire   +3 more sources

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

METAPHORISATION OF BREXIT IN MODERN POLITICAL DISCOURSE

Novìtnâ Osvìta, 2018
The article deals with an interdisciplinary perspective to a political discourse presenting conceptual metaphors as a powerful and effective means for conceptualising life experience of modern society. The focus of the study is on the analysis of topics
Olha Bilyk, Nataliia Pyliachyk
doaj   +1 more source

Unified Source-Free Domain Adaptation

CoRR
In the pursuit of transferring a source model to a target domain without access to the source training data, Source-Free Domain Adaptation (SFDA) has been extensively explored across various scenarios, including Closed-set, Open-set, Partial-set, and Generalized settings.
Song Tang 0001, Wenxin Su, Mao Ye 0001, Jianwei Zhang 0001, Xiatian Zhu   +4 more
openaire   +2 more sources

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Quasimonochromatic LISA sources in the frequency domain

Physical Review D
14 pages, 9 figures; added ...
Vladimir Strokov, Emanuele Berti
openaire   +2 more sources

Uncertainty-Guided Source-Free Domain Adaptation

, 2022
Source-free domain adaptation (SFDA) aims to adapt a classifier to an unlabelled target data set by only using a pre-trained source model. However, the absence of the source data and the domain shift makes the predictions on the target data unreliable. We propose quantifying the uncertainty in the source model predictions and utilizing it to guide the ...
Subhankar Roy, Martin Trapp 0001, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci 0001, Arno Solin   +6 more
openaire   +4 more sources