Modeling the Intermediate Flow Regime in Flow‐Compensated Intravoxel Incoherent Motion MRI
ABSTRACT Purpose The intravoxel incoherent motion (IVIM) model is commonly used to separate the effects of motion related to diffusion and blood microcirculation (perfusion) on the MR signal. Depending on the encoding time (T), it is possible to probe the different temporal regimes of blood motion, which resemble a ballistic flow at short T and a ...
Louise Rosenqvist +5 more
wiley +1 more source
Hydraulic In Vitro Characterization of MR-Conditional Blood Pumps. [PDF]
Schulte DT +6 more
europepmc +1 more source
A Compact Algorithm for Applying Periodic Boundary Conditions in 3D RVE Modeling with Abaqus
ABSTRACT Periodic boundary conditions (PBCs) are essential in multiscale modeling for computing the effective properties of heterogeneous materials via representative volume elements (RVEs). While several automated solutions have been developed for implementing PBCs in finite element software, many rely on structured node classification and predefined ...
Reza Sadeghpour, Martin Kraska
wiley +1 more source
Attention to detail: A conditional multi-head transformer for traffic sign recognition. [PDF]
Naz I +5 more
europepmc +1 more source
Investigating Hydrogel Structural Parameters in the Flory–Rehner Model Using Bayesian Optimization
ABSTRACT Hydrogels exhibit tunable solvent absorption driven by environmental stimuli such as temperature, pH, and light. While prior work established connections between synthesis processes and swelling behavior of temperature‐responsive hydrogels, the current study bridges the internal structure and the temperature‐responsive swelling behavior. First,
Yawen Wang +2 more
wiley +1 more source
Human brain integrates both unconditional and conditional timing statistics to guide expectation and behavior. [PDF]
Huang YT, Chao ZC.
europepmc +1 more source
Abstract Rainfall nowcasting, the short‐term prediction of precipitation, is a vital component of early warning systems aimed at mitigating the effects of extreme weather events. In this study, we develop a deep learning approach based on convolutional neural networks (CNNs) for rainfall nowcasting and train it exclusively on data from rain gauge ...
Fereshteh Taromideh +4 more
wiley +1 more source
Research on Takeover Safety of Intelligent Vehicles Based on Accident Scenarios in Real-Vehicle Testing. [PDF]
Li P +8 more
europepmc +1 more source
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi +9 more
wiley +1 more source
Identifying causal neural oscillations underlying working memory. [PDF]
Mirjalili M +5 more
europepmc +1 more source

