Results 81 to 90 of about 110,431 (303)

amz78/Shape-uncertainty-quantification-for-TESLA-cavities: v1.0

open access: yes
Software for the paper "Shape uncertainty quantification of Maxwell eigenvalues and -modes with application to TESLA ...
amz78
core   +1 more source

Definition and Implementation of a Method for Uncertainty Aggregation in Component-Based System Simulation Models

open access: yes, 2017
Component-based system simulation models are used throughout all development phases for design and verification of both physical systems and control software, not least in the aeronautical industry.
Eek, Magnus,   +2 more
core   +1 more source

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

open access: yesFEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source

Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods [PDF]

open access: yes, 2015
In the context of prediction science, the sources of uncertainty can be from the uncertainties of the experiments, modeling, model inputs, numerical analysis, etc.
Hu, Junjun
core  

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

open access: yesFEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik   +6 more
wiley   +1 more source

Generalized Perturbation Techniques for Uncertainty Quantification in Lead-Cooled Fast Reactors (dataset and software)

open access: yes, 2021
Dataset and codes to allow the reproducibility of the results presented in the publication: N. Abrate, S. Dulla, P.Ravetto, "Generalized Perturbation Techniques for Uncertainty Quantification in Lead-Cooled Fast Reactors", Annals of Nuclear Energy ...
P. Ravetto, S. Dulla, N. Abrate
core   +1 more source

Why human connection is the true metric of research success

open access: yesFEBS Open Bio, EarlyView.
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan   +3 more
wiley   +1 more source

YIPFα1A expression is regulated by multilayered molecular mechanisms

open access: yesFEBS Open Bio, EarlyView.
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji   +2 more
wiley   +1 more source

Uncertainty quantification by large language models

open access: yesMachine Learning with Applications
As reasoning capabilities of large language models (LLMs) continue to advance, they are being integrated into increasingly complex scientific workflows, with the goal of developing agents capable of generating evidence-based explanations and testing ...
Dorianis M. Perez   +2 more
doaj   +1 more source

Inverse problems and uncertainty quantification

open access: yes, 2013
In a Bayesian setting, inverse problems and uncertainty quantification (UQ)— the propagation of uncertainty through a computational (forward) model—are strongly connected. In the form of conditional expectation the Bayesian update becomes computationally
Matthies, Hermann G.   +1 more
core  

Home - About - Disclaimer - Privacy