Results 231 to 240 of about 1,067,198 (282)

Fibrillarin Resists Cellular Senescence Via SIRT1‐Dependent Nicotinamide Metabolism and Its Inhibition Sensitizes Senolytic Therapy in Esophageal Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
FBL directly binds to and stabilizes SIRT1 by blocking its ubiquitin‐proteasome degradation, thereby sustaining nicotinamide metabolism and redox homeostasis to counteract cellular senescence in ESCC. Genetic and pharmacological suppression of FBL sensitizes tumor cells to senolytic therapy.
Xing Jin   +9 more
wiley   +1 more source

Multimodal Bioinspired Self‐Healing Composites Enabling Durable and High‐Efficiency Wearable Perovskite Light‐Emitting Diodes

open access: yesAdvanced Science, EarlyView.
Butterfly wing–inspired intrinsically self‐healing polymer interlayers enable flexible perovskite optoelectronics with high luminance, strain‐insensitive stability, and environmental resilience. These hierarchically structured films redistribute mechanical stress, suppress defect formation, and maintain performance under repeated bending, paving the ...
Loganathan Veeramuthu   +13 more
wiley   +1 more source

Optimization by decoded quantum interferometry. [PDF]

open access: yesNature
Jordan SP   +8 more
europepmc   +1 more source

Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections. [PDF]

open access: yesMed Image Comput Comput Assist Interv
Karami M   +5 more
europepmc   +1 more source

Analog Digital Belief Propagation

open access: yesIEEE Communications Letters, 2012
We introduce a message passing belief propagation (BP) algorithm for factor graph over linear models that uses messages in the form of Gaussian-like distributions. With respect to the regular Gaussian BP, the proposed algorithm adds two operations to the model, namely the wrapping and the discretization of variables.
Montorsi, Guido, Guido Montorsi
openaire   +4 more sources

Computational models of belief propagation [PDF]

open access: yes, 2015
In this thesis we aim to gain better understanding on the working of the belief propagation algorithm designed for graphical models in other computational frameworks like the neural systems, as well as the error associated with loopy belief propagation in Bayesian networks.
Ng, Khin Hua
openaire   +4 more sources

Hardware-efficient belief propagation

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
Loopy belief propagation (BP) is an effective solution for assigning labels to the nodes of a graphical model such as the Markov random field (MRF), but it requires high memory, bandwidth, and computational costs. Furthermore, the iterative, pixel-wise, and sequential operations of BP make it difficult to parallelize the computation.
Chia-Kai Liang   +4 more
openaire   +1 more source

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