Results 71 to 80 of about 2,076,683 (280)

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

open access: yes, 2018
An activation boundary for a neuron refers to a separating hyperplane that determines whether the neuron is activated or deactivated. It has been long considered in neural networks that the activations of neurons, rather than their exact output values ...
Choi, Jin Young   +3 more
core   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

open access: yesFEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva   +5 more
wiley   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

open access: yesFEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka   +11 more
wiley   +1 more source

Self-reconfiguring solar cell system [PDF]

open access: yes, 1979
A self-reconfiguring solar cell array is disclosed wherein some of the cells are switched so that they can be either in series or in shunt within the array.
Gruber, R. P.
core   +1 more source

Brain-mediated Transfer Learning of Convolutional Neural Networks

open access: yes, 2019
The human brain can effectively learn a new task from a small number of samples, which indicate that the brain can transfer its prior knowledge to solve tasks in different domains.
Blanc, Antoine   +5 more
core   +1 more source

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

open access: yesFEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva   +10 more
wiley   +1 more source

AST+SVMNet: A Novel Decomposition Method for Micro-Expression Recognition Based on Fusion Attention and Improved Spatio- Temporal Convolution by Feature Transfer

open access: yesIEEE Access
Micro-expression (ME) is spontaneous, rapid, and subtle facial mechanism that can reveal the concealed emotions. However, the short duration, low motion intensity, and small dataset of MEs make the extraction and learning of features from ME samples more
Peiyun Xue   +3 more
doaj   +1 more source

Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition

open access: yesIEEE Transactions on Medical Imaging, 2019
Probe-based confocal laser endomicroscopy (pCLE) is an emerging tool for epithelial cancer diagnosis, which enables in-vivo microscopic imaging during endoscopic procedures and facilitates the development of automatic recognition algorithms to identify the status of tissues.
Yun Gu   +3 more
openaire   +4 more sources

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

Efficiency-Sensitive Feature Selection and Probabilistic Feature Transfer for Scenic Image Recomposition

open access: yesIEEE Access
In this research, we address the sophisticated task of reconstructing the semantic elements within complex scenes, a critical endeavor for a broad range of artificial intelligence (AI) applications.
Zhendong Du, Yu Yu
doaj   +1 more source

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