Results 141 to 150 of about 88,366 (316)

Numerical investigation of hyperelastic solids with contact interaction

Учёные записки Казанского университета: Серия Физико-математические науки, 2018
The paper is devoted to the construction of a computational algorithm for the investigation of hyperelastic solids with the contact interaction. In the framework of the previously developed algorithm for the investigation of large deformations of three ...
A.I. Abdrakhmanova, L.U. Sultanov
doaj  

An inexact-penalty method for GNE seeking in games with dynamic agents [PDF]

, 2021
Andrew R. Romano, Lacra Pavel
openalex   +1 more source

Modulating Purothionin Accumulation and Signal Peptide Cleavage Fine‐Tunes Wheat Flour Gluten Properties to Improve Cookie‐Making Quality

Advanced Science, EarlyView.
Dual genetic strategies for improving wheat processing quality by regulating purothionin accumulation to modulate gluten quantity and quality. The first strategy involves targeting signal peptide (SP) cleavage sites (e.g., through mutation) to indirectly reduce gluten content, thereby disrupting gluten network formation.
Yijie Liu, Siyuan Chang, Zhaoheng Zhang, Tianqi Kang, Mingde Liu, Yuan Zong, Fei Ni, Yinguang Bao, Ruijie Zhang, Xiaobang Zhang, Jinkun Du, Mingming Xin, Zhaorong Hu, Jie Liu, Zhongfu Ni, Qixin Sun, Yingyin Yao   +16 more
wiley   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

Advanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang, Jie Cao, Chang Zhou, Haifeng Yao, Qun Hao   +4 more
wiley   +1 more source

Multigrid algorithms for $hp$-version Interior Penalty Discontinuous Galerkin methods on polygonal and polyhedral meshes [PDF]

, 2014
Paola F. Antonietti, Paul Houston, Xiaozhe Hu, Marco Sarti, Marco Verani   +4 more
openalex   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

An Interior Penalty Method with $C^0$ Finite Elements for the Approximation of the Maxwell Equations in Heterogeneous Media: Convergence Analysis with Minimal Regularity [PDF]

, 2014
Andrea Bonito, Jean‐Luc Guermond, Francky Luddens   +2 more
openalex   +1 more source

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source

Dirichlet control of unsteady Navier–Stokes type system related to Soret convection by boundary penalty method [PDF]

, 2014
S. S. Ravindran
openalex   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source