Results 111 to 120 of about 195 (182)

Social-affective features drive human representations of observed actions. [PDF]

Elife, 2022
Dima DC, Tomita TM, Honey CJ, Isik L.
europepmc   +1 more source

Novel Bernstein‐Kantorovich Type Operators

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this paper, we introduce a novel class of Bernstein‐Kantorovich operators, denoted as Kβn,θ$$ {K}_{\beta}^{n,\theta } $$, parameterized by 0<β<1$$ 0<\beta <1 $$ and θ>0$$ \theta >0 $$. We first derive a recurrence formula that facilitates the computation of moments and central moments and provide explicit expressions for Kβn,θ(tm;x)$$ {K}_{\
Pembe Sabancigil, Nazim I. Mahmudov
wiley   +1 more source

Multi‐Contrast Human Brain CEST MRI at 11.7 T: First In Vivo Demonstration

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT PurposeTo implement and evaluate chemical exchange saturation transfer (CEST) at ultra‐high field on a whole‐body 11.7 T scanner using parallel transmission (pTx). MethodsTailored pTx CEST saturation pulses were optimized to achieve a spatially uniform target B1+ while satisfying SAR and power constraints either defined by conservatively ...
Camélia Ressam, Joseph Brégeat, Alfredo L. Lopez Kolkovsky, Alexis Amadon, Alexandre Vignaud, Aurélien Massire, Son Chu, Shajan Gunamony, Nicolas Boulant, Vincent Gras, Franck Mauconduit, Luisa Ciobanu   +11 more
wiley   +1 more source

Completeness and Geodesic Distance Properties for Fractional Sobolev Metrics on Spaces of Immersed Curves. [PDF]

J Geom Anal
Bauer M, Heslin P, Maor C.
europepmc   +1 more source

Accelerating Stroke MRI With Diffusion Probabilistic Models Through Large‐Scale Pre‐Training and Target‐Specific Fine‐Tuning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a data‐efficient strategy for accelerated MRI reconstruction with Diffusion Probabilistic Generative Models (DPMs) that enables faster scan times in clinical stroke MRI when only limited fully‐sampled data are available. Methods Our simple training strategy first pre‐trains a DPM on a large, diverse collection of publicly ...
Yamin Arefeen, Sidharth Kumar, Steven Warach, Hamidreza Saber, Jonathan Isaac Tamir   +4 more
wiley   +1 more source

Approximation of Classical Two-Phase Flows of Viscous Incompressible Fluids by a Navier-Stokes/Allen-Cahn System. [PDF]

Arch Ration Mech Anal
Abels H, Fischer J, Moser M.
europepmc   +1 more source

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman, Olivier Jaubert, Mark Wrobel, Tina Yao, Ruaraidh Campbell, Rebecca R Baker, Ruta Virsinskaite, Daniel Knight, Michael Quail, Jennifer A Steeden, Vivek Muthurangu   +10 more
wiley   +1 more source

1D Pre‐Acquisition Navigator Correcting Respiratory‐Induced Field Fluctuations in Multi‐Echo Gradient‐Echo Imaging of the Thoracic Spinal Cord

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose In the spinal cord (SC), multi‐echo gradient echo (ME‐GRE) increases gray (GM) and white matter (WM) contrast and improves sensitivity to lesions in people with multiple sclerosis (pwMS). However, SC ME‐GRE is susceptible to breathing‐induced field fluctuations, causing ghosting artifacts and signal loss.
Alicia E. Cronin, Alexandre D'Astous, Nathan Williams, Antoine Guénette, Aimee Salakhov, Seth Stubblefield, Colin D. McKnight, Lipika Narisetti, Subramaniam Sriram, Seth A. Smith, Ryan K. Robison, Guillaume Gilbert, Julien Cohen‐Adad, Kristin P. O'Grady   +13 more
wiley   +1 more source

An open, fully-processed data resource for studying mood and sleep variability in the developing brain. [PDF]

Apert Neuro
Brook JBH, Salo T, Luo AC, Bagautdinova J, Rush S, Alexander-Bloch AF, Baller EB, Calkins ME, Cieslak M, Cooper EC, Detre JA, Elliott MA, Fair DA, Freedman P, Gehrman PR, Gur RC, Gur RE, Klein A, Laney N, Laumann TO, Mehta K, Merikangas K, Milham MP, Mitchell JA, Moore TM, Nelson SM, Ruparel K, Sevchik BL, Shanmugan S, Shou H, Taso M, White LK, Wolf DH, Tisdall MD, Roalf DR, Satterthwaite TD.   +35 more
europepmc   +1 more source

Modeling Biocemented Sands: Hypoplastic Model for MICP‐Based Ground Improvement

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Bio‐cementation offers a sustainable and low‐carbon alternative to conventional ground improvement methods, aligning with the growing demand for green geotechnical solutions. To enable reliable numerical simulation of bio‐cemented soil behavior in engineering applications, advanced constitutive models are required to account for the effects of
Merita Tafili, Hossam Abdellatif, Nazanin Irani, Torsten Wichtmann   +3 more
wiley   +1 more source