Results 71 to 80 of about 1,638 (210)

A SEMI-ANALYTIC APPROACH FOR SOLVING FISHER’S REACTION-DIFFUSION EQUATION BY METHOD OF LINES USING REPRODUCING KERNEL HILBERT SPACE METHOD [PDF]

, 2022
Gautam Patel, Kaushal Patel
openalex   +1 more source

GWAS‐assisted genomic selection for achieving high‐precision early sex prediction in Populus deltoides

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Poplar (Populus spp.) breeding programs increasingly prioritize the development of male varieties due to the environmental issues caused by female catkins. Therefore, there is an urgent need for a reliable technique for early sex identification in Populus.
Xinglu Zhou, Min Zhang, Lei Zhang, Jianjun Hu   +3 more
wiley   +1 more source

Effectiveness of low‐density high‐throughput marker platform and easy‐to‐measure traits for genomic prediction of biomass yield in oat (Avena sativa L.)

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Genomic selection (GS) is a promising strategy for accelerating genetic gains of complex traits in breeding programs. Despite the recent advancements in high‐throughput genotyping technologies, the selection of the type of marker systems needed for GS remains challenging in breeding programs.
Samuel A. Adewale, Md Ali Babar, Diego Jarquin, Naeem Khan, Janam Prabhat Acharya, Sudip Kunwar, Jordan McBreen, Esteban Rios, Stephen Harrison, Noah DeWitt, Amir Ibrahim, Paul Murphy, Rick Boyles, Jason D. Fiedler, Raja Sekhar Nandety   +14 more
wiley   +1 more source

TVB C++: A Fast and Flexible Back‐End for The Virtual Brain

Advanced Science, Volume 13, Issue 2, 9 January 2026.
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín, Gorka Zamora‐López, Jan Fousek, Michael Schirner, Petra Ritter, Viktor Jirsa, Gustavo Deco, Gustavo Patow   +7 more
wiley   +1 more source

Quantifying the Single‐Cell Morphological Landscape of Cellular Transdifferentiation through Force Field Reconstruction

Advanced Science, Volume 13, Issue 1, 5 January 2026.
This study reconstructs the driving force field of fibroblast‐to‐neuron transdifferentiation from sparse single‐cell images by decomposing it into flux and time‐dependent potential gradient, extending the landscape‐flux framework to non‐steady‐state systems.
Chudan Yu, Chuanbo Liu, Erkang Wang, Jin Wang   +3 more
wiley   +1 more source

Neighborhood preserving sparse representation based on Nyström method for image set classification on symmetric positive definite matrices

Journal of Algorithms & Computational Technology, 2019
In the field of pattern recognition, using the symmetric positive-definite matrices to represent image set has been widely studied, and sparse representation-based classification algorithm on the symmetric positive-definite matrix manifold has attracted ...
Chu Li, Xiao-Jun Wu
doaj   +1 more source

Correction to: Numerical methods for solving Schröinger equations in complex reproducing kernel Hilbert spaces [PDF]

, 2021
Fazhan Geng
openalex   +1 more source

Iterative reproducing kernel Hilbert spaces method for Riccati differential equations

Journal of Computational and Applied Mathematics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, Volume 16, Issue 2, 14 January 2026.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

Modified analytical approach for generalized quadratic and cubic logistic models with Caputo-Fabrizio fractional derivative

Alexandria Engineering Journal, 2020
In this paper, a modified reproducing kernel algorithm is proposed to solve a class of quadratic and cubic logistic equations with Caputo-Fabrizio fractional derivative in Hilbert space.
Nadir Djeddi, Shatha Hasan, Mohammed Al-Smadi, Shaher Momani   +3 more
doaj   +1 more source