Results 81 to 90 of about 166,064,242 (247)

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

open access: yesMolecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim   +7 more
wiley   +1 more source

Optimizing anomaly detection models for edge IIoT with an enhanced firefly algorithm-based hyperparameter tuning strategy

open access: yesResults in Engineering
Security issues in the Industrial Internet of Things (IIoT) have grown more serious as industrial automation rises as these networks are especially prone to cyberattacks.
Mohemmed Yousuf Rahamathulla   +1 more
doaj   +1 more source

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

open access: yesMolecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez   +5 more
wiley   +1 more source

Representing Probability Measures using Probabilistic Processes [PDF]

open access: yes, 2006
In the Type-2 Theory of Effectivity, one considers representations of topological spaces in which infinite words are used as "names" for the elements they represent.
Schröder , Matthias   +3 more
core   +1 more source

Pattern selection and parameter optimization design of reaction-diffusion information propagation model

open access: yesAin Shams Engineering Journal
In modern society, with the rapid development of the Internet, the speed of information dissemination greatly increases. Information security has a profound impact on national and social safety.
Yingzi He, Shuling Shen, Linhe Zhu
doaj   +1 more source

Convergence Rates of Gradient Methods for Convex Optimization in the Space of Measures

open access: yesOpen Journal of Mathematical Optimization, 2023
We study the convergence rate of Bregman gradient methods for convex optimization in the space of measures on a d -dimensional manifold. Under basic regularity assumptions, we show that the suboptimality gap at iteration
openaire   +3 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

open access: yesFEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong   +3 more
wiley   +1 more source

Analogues of Non-Gibbsianness in Joint Measures of Disordered Mean Field Models [PDF]

open access: yes, 2002
It is known that the joint measures on the product of spin-space and disorder space are very often non-Gibbsian measures, for lattice systems with quenched disorder, at low temperature.
Külske, Christof, Külske, Christof,
core   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

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