Corrigendum to "Isotopic insights from carpological remains: One of the first datasets for the Italian Bronze age" [Data in brief 57 (2024) 111000]. [PDF]
Cortese F +10 more
europepmc +1 more source
Accelerating the Adaptive Tempering Monte Carlo Method with CUDA Graphics Processing Units
Clifford T. Hall
openalex +1 more source
ABSTRACT Mitochondrial trifunctional protein (TFP) deficiency is an inherited disorder of long‐chain fatty acid β‐oxidation (FAO). TFP is a heteromeric enzyme composed of two α and two β‐subunits. Despite early detection and dietary treatment, TFP deficiency patients often develop hypoglycemia, rhabdomyolysis, cardiomyopathy, and peripheral neuropathy.
Eduardo Vieira Neto +8 more
wiley +1 more source
Protocol to predict the origin of cancer of unknown primary from gene expression data using BPformer. [PDF]
Xie J +5 more
europepmc +1 more source
High‐Resolution 3D Imaging with Tunable Point Cloud Projection Based on Meta‐Device
A meta‐based tunable point cloud projection that enables high‐resolution 3D imaging through a dynamic meta‐device is demonstrated. By adjusting spatial sampling, the system achieves significantly sharper reconstructions while remaining compact. The innovation opens new possibilities for applications such as facial recognition, augmented reality, and ...
Yin Zhou +6 more
wiley +1 more source
Neurofilament Light Chain from Neuronally Derived Extracellular Vesicles in Differentiating Parkinson's Disease from Essential Tremor with Resting Tremor. [PDF]
Mimmi S +11 more
europepmc +1 more source
Abstract Background Virtual clinical trials provide an efficient alternative to clinical imaging trials for evaluating imaging technologies. In x‐ray simulations, however, modeling material‐specific attenuation becomes computationally intensive as anatomical complexity and material heterogeneity in digital phantoms increase.
Martina Nassi +3 more
wiley +1 more source
Gpu-accelerated JEMRIS for extensive MRI simulations. [PDF]
Nurdinova A +4 more
europepmc +1 more source
Algoritmy zpracování digitálního obrazu využívající technologii NVIDIA CUDA
Jan Lesniak
openalex +1 more source
Accelerated water residual removal in MRS: Exploring deep learning versus fitting‐based approaches
Abstract PurposeRemoving water residual signals from MRS spectra is crucial for accurate metabolite quantification. However, currently available algorithms are computationally intensive and time‐consuming, limiting their clinical applicability. This work aims to propose and validate two novel pipelines for fast water residual removal in MRS. MethodsTwo
Federico Turco +2 more
wiley +1 more source

