Results 21 to 30 of about 88,366 (316)
This study aimed to evaluate the impact of different proportions (i.e., 20%, 40%, 60% and 80%) of censored (CEN) or penalized (PEN) data in the prediction of breeding values (EBVs), genetic parameters, and computational efficiency for two longevity ...
Hinayah R. Oliveira +3 more
doaj +1 more source
This study is devoted to incorporating a nonmonotone strategy with an automatically adjusted trust-region radius to propose a more efficient hybrid of trust-region approaches for constrained optimization problems.
Bothina El-Sobky +2 more
doaj +1 more source
Penalty method for obliquely reflected diffusions [PDF]
Take a multidimensional normally or obliquely reflected diffusion in a smooth domain. Approximate it by solutions of stochastic differential equations without reflection using the penalty method. That is, we approximate the reflection term with an additional drift term.
openaire +2 more sources
On the dynamics of grounded shallow ice sheets: Modeling and analysis
In this article, we formulate a model describing the evolution of thickness of a grounded shallow ice sheet. The thickness of the ice sheet is constrained to be nonnegative. This renders the problem under consideration an obstacle problem.
Piersanti Paolo, Temam Roger
doaj +1 more source
In this work, we used reflexive Banach spaces to study the differential variational—hemivariational inequality problems with constraints. We established a sequence of perturbed differential variational–hemivariational inequality problems with perturbed ...
Shih-Sen Chang +4 more
doaj +1 more source
The Multi-Objective Transportation Problem Solve with Geometric Mean and Penalty Methods
The traditional (classical) Transportation Problem (TP) can be viewed as a specific case of the Linear Programming (LP) problem, as well as its models are used to find the best solution for the problem of predetermined how many units of a good or service
K.P.O.Niluminda, E.M.U.S.B.Ekanayake
doaj +1 more source
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Tumor mutational burden as a determinant of metastatic dissemination patterns
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Motion analysis of furniture under seismic excitation using the finite element method
Improperly secured furniture, especially on the upper floors of high‐rise buildings under long‐period ground motion, can prove dangerous to human life. Fallen items of furniture such as chairs and desks could become fatal obstacles that prevent efficient
Daigoro Isobe +5 more
doaj +1 more source

