Results 21 to 30 of about 27,515,411 (316)

Data for Fully 3D Modeling of Single-Phase Fluid Flow

open access: yes, 2020
Data for a Fully 3D Modeling of Single-Phase Fluid Flow in Fractured-Vuggy Carbonate Formations Using the Transient Brinkman Equation Coupled with the Second-order Gradient Rock Mechanics Equation Including Porosity Evolution ...
Alhubail, M (via Mendeley Data)   +1 more
core   +1 more source

A nonparametric Bayesian continual reassessment method in single-agent dose-finding studies

open access: yesBMC Medical Research Methodology, 2018
Background The main purpose of dose-finding studies in Phase I trial is to estimate maximum tolerated dose (MTD), which is the maximum test dose that can be assigned with an acceptable level of toxicity.
Niansheng Tang, Songjian Wang, Gen Ye
doaj   +1 more source

Correction to: On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

open access: yesBMC Genomics, 2020
An amendment to this paper has been published and can be accessed via the original article.
Alemu Takele Assefa   +2 more
doaj   +1 more source

On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

open access: yesBMC Genomics, 2020
Background In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have been reported to optimize both the cost ...
Alemu Takele Assefa   +2 more
doaj   +1 more source

Variational Bayesian Inference in High-Dimensional Linear Mixed Models

open access: yesMathematics, 2022
In high-dimensional regression models, the Bayesian lasso with the Gaussian spike and slab priors is widely adopted to select variables and estimate unknown parameters. However, it involves large matrix computations in a standard Gibbs sampler.
Jieyi Yi, Niansheng Tang
doaj   +1 more source

Closure modeling

open access: yes, 2021
Advanced Approaches in Turbulence: Theory, Modeling, Simulation and Data Analysis for Turbulent Flows focuses on the updated theory, simulation and data analysis of turbulence dealing mainly with turbulence modeling instead of the physics of turbulence ...
Davidson, Lars   +2 more
core   +1 more source

Modelling the data at the LHC [PDF]

open access: yesProceedings of Particles and Nuclei International Conference 2021 — PoS(PANIC2021), 2022
5 pages, 2 figures, to appear in the Proceedings of Particles and Nuclei International Conference - PANIC2021, 5-10 September ...
openaire   +2 more sources

Data for: Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning

open access: yes, 2021
Data generated from DEM assembles used in the meta-modeling ...
Sun, WaiChing   +1 more
core   +1 more source

Data for: Large dry-humid fluctuations in Asia during the Late Cretaceous due to orbital forcing: a modeling study

open access: yes, 2020
The research data files only include the processed data from the modeling ...
Zhang, J (via Mendeley Data)   +1 more
core   +1 more source

Adaptive Differential Privacy Cox-MLP Model Based on Federated Learning

open access: yesMathematics
In the data-driven healthcare sector, balancing privacy protection and model performance is critical. This paper enhances accuracy and reliability in survival analysis by integrating differential privacy, deep learning, and the Cox proportional hazards ...
Jie Niu   +6 more
doaj   +1 more source

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