Results 71 to 80 of about 1,871,607 (274)

A role for symmetry in the Bayesian solution of differential equations

open access: yes, 2020
The interpretation of numerical methods, such as finite difference methods for differential equations, as point estimators suggests that formal uncertainty quantification can also be performed in this context.
Cockayne, Jonathan   +3 more
core   +1 more source

Probing the Energy Landscape of α‐Synuclein Amyloid Fibril Formation by Systematic K‐to‐Q Mutagenesis

open access: yesAdvanced Science, EarlyView.
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka   +10 more
wiley   +1 more source

A Classical and Bayesian Approach for Parameter Estimation in Structural Equation Models

open access: yesJournal of New Theory, 2020
Structural Equation Models (SEMs) with latent variables provide a general framework for modelling relationships in multivariate data. Although SEMs are most commonly used in studies involving intrinsically latent variables, such as happiness, quality of ...
Naci Murat, Mehmet Ali Cengiz
doaj  

Inference of gene regulatory networks from genetic perturbations with linear regression model. [PDF]

open access: yesPLoS ONE, 2013
It is an effective strategy to use both genetic perturbation data and gene expression data to infer regulatory networks that aims to improve the detection accuracy of the regulatory relationships among genes.
Zijian Dong, Tiecheng Song, Chuang Yuan
doaj   +1 more source

Retrospective Grid Cells in the Medial Entorhinal Cortex Encode Past Paths During Spatial Navigation

open access: yesAdvanced Science, EarlyView.
Retrospective grid cells are identified in the medial entorhinal cortex, with spatial firing patterns that become most grid‐like when activity is projected onto recently traversed locations. Their coding loses spatial precision in darkness and is disrupted during assisted movement, indicating that entorhinal representations incorporate recent path ...
Ruojin Liu   +10 more
wiley   +1 more source

Understanding biodiversity effects on trophic interactions with a robust approach to path analysis

open access: yesCell Reports Sustainability
Summary: With its facility to assess causal mechanisms among multiple variables, the application of path analysis in medical, natural, and social sciences has become widespread.
Yu-Quan Wang   +5 more
doaj   +1 more source

Analyzing indirect effects in cluster randomized trials. The effect of estimation method, number of groups and group sizes on accuracy and power.

open access: yesFrontiers in Psychology, 2014
Cluster randomized trials assess the effect of an intervention that is carried out at the group or cluster level. Ajzen’s theory of planned behaviour is often used to model the effect of the intervention as an indirect effect mediated in turn by attitude,
Joop eHox   +4 more
doaj   +1 more source

Relationship between haemodynamic indicators and haemogram in patients with heart failure

open access: yesESC Heart Failure, 2023
Aims Pulmonary congestion, reduced cardiac output, neurohumoral factor activation, and decreased renal function associated with decreased cardiac function may have various effects on haemograms.
Takuya Oh   +6 more
doaj   +1 more source

Functional MXene Inks for Printed Electronics: Chemistry, Rheology, and Devices

open access: yesAdvanced Science, EarlyView.
Functional MXene inks are emerging as building blocks for MXetronics, connecting MXene synthesis, surface functionalization, ink formulation, and advanced printing with device‐level applications. This review maps how composition, stability, rheology, and processability govern printed structures and enable high‐performance sensors, energy‐storage ...
Shahzaib Ali   +6 more
wiley   +1 more source

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

open access: yesAdvanced Science, EarlyView.
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo   +4 more
wiley   +1 more source

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