Results 41 to 50 of about 4,710,511 (291)

GPU-accelerated ECSW hyper-reduction: implementation and performance evaluation

Data-Centric Engineering
This paper investigates the computational relevance of the Energy-Conserving Sampling and Weighting (ECSW) method for hyper-reduction in reduced-order models (ROMs), with particular attention to modern Graphical Processing Unit (GPU)-accelerated and deep-
Nicolas Lepage, Samir Beneddine, Michele Giuliano Carlino, Camilla Fiorini, Iraj Mortazavi, Denis Sipp, Nicolas Thome   +6 more
doaj   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Efficient Hyper-Reduction of contact problems treated by Lagrange multipliers.

, 2022
The resolution of contact mechanics problems is often costly in terms of computing time because ofthe non-linearity of the contact constraints. For contact problems treated by Lagrange multipliers(ensuring the Signorini contact conditions to be respected), applying reduced-order modeling remainschallenging due in particular to the non-negativity ...
Le Berre, S, Ramière, I, Ryckelynck, David   +2 more
openaire   +2 more sources

BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells

FEBS Open Bio, EarlyView.
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley   +1 more source

Hyper-parameters description and tuning range.

, 2022
Hyper-parameters description and tuning range.
Tuan Anh Pham (1346049), Van Quan Tran (12269790)   +1 more
core   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source

Data Pruning of Tomographic Data for the Calibration of Strain Localization Models

Mathematical and Computational Applications, 2019
The development and generalization of Digital Volume Correlation (DVC) on X-ray computed tomography data highlight the issue of long-term storage. The present paper proposes a new model-free method for pruning experimental data related to DVC, while ...
William Hilth, David Ryckelynck, Claire Menet   +2 more
doaj   +1 more source

Fully Adaptive Structure-Preserving Hyper-reduction of Parametric Hamiltonian Systems

SIAM Journal on Scientific Computing
Abstract. Model order reduction provides low-complexity high-fidelity surrogate models that allow rapid and accurate solutions of parametric differential equations. The development of reduced order models for parametric nonlinear Hamiltonian systems is challenged by several factors: (i) the geometric structure encoding the physical ...
Cecilia Pagliantini, Federico Vismara
openaire   +4 more sources

Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs

Journal of Scientific Computing, 2022
Abstract To speed-up the solution of parametrized differential problems, reduced order models (ROMs) have been developed over the years, including projection-based ROMs such as the reduced-basis (RB) method, deep learning-based ROMs, as well as surrogate models obtained through machine learning techniques.
Ludovica Cicci, Stefania Fresca, Andrea Manzoni   +2 more
openaire   +4 more sources

Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer, Jan Valošek, Lynn Farner, Enamundram Naga Karthik, Gergely David, Norbert Weidner, Rainer Abel, Doris Maier, Armin Curt, Margret Hund‐Georgiadis, Mirko Aach, Michael Baumberger, Julien Cohen‐Adad, Patrick Freund, the Nogo Inhibition in Spinal Cord Injury Study Group, Rainer Abel, Kerstin Rehahn, Mirko Aach, Klaus Röhl, Norbert Weidner, Marion Saur, Nikolaus Weiskopf, Doris Maier, Andreas Badke, Margret Hund‐Georgiadis, Michael Baumberger, Armin Curt, Jesus Benito‐Penalva, Jiri Kriz   +28 more
wiley   +1 more source