Results 111 to 120 of about 3,221,975 (292)

Exploring the influence of lactoferrin on wound healing and related signaling pathways: a systematic review

open access: yesFEBS Open Bio, EarlyView.
Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo   +4 more
wiley   +1 more source

Fast Object Tracking on a Many-Core Neural Network Chip

open access: yesFrontiers in Neuroscience, 2018
Fast object tracking on embedded devices is of great importance for applications such as autonomous driving, unmanned aerial vehicle, and intelligent monitoring. Whereas, most of previous general solutions failed to reach this goal due to the facts that (
Lei Deng   +10 more
doaj   +1 more source

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

open access: yesFEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph   +7 more
wiley   +1 more source

Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks

open access: yeseLife
In probabilistic reversal learning, the choice option yielding reward with higher probability switches at a random trial. To perform optimally in this task, one has to accumulate evidence across trials to infer the probability that a reversal has ...
Christopher M Kim   +2 more
doaj   +1 more source

Evolution‐guided yeast complementation reveals functional differences in human PSPH variants

open access: yesFEBS Open Bio, EarlyView.
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez   +6 more
wiley   +1 more source

Attractor Dynamics in Delay Discounting: A Call for Complexity [PDF]

open access: yes, 2017
The outcomes of intertemporal choices indicate that people discount rewards by their delay. These outcomes are well described by discounting functions.
Schoemann, Martin, Scherbaum, Stefan
core  

In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols

open access: yesFEBS Open Bio, EarlyView.
Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton   +6 more
wiley   +1 more source

Attractor dynamics reflect decision confidence in macaque prefrontal cortex. [PDF]

open access: yesNat Neurosci, 2023
Wang S   +3 more
europepmc   +1 more source

Adenosine triphosphate as a modulator of protein interactions and stability

open access: yesFEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

Attractor Dynamics in Feedforward Neural Networks [PDF]

open access: yes
We study the probabilistic generative models parameterized by feedforward neural networks. An attractor dynamics for probabilistic inference in these models is derived from a mean field approximation for large, layered sigmoidal networks. Fixed points of
Michael I. Jordan, Lawrence Saul
core   +1 more source

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