Results 151 to 160 of about 717,764 (281)
Statistical Power in Musculoskeletal Research: A Meta-Review of 266 Randomised Controlled Trials. [PDF]
Bleakley C +4 more
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
A priori estimates for harmonic mappings
HILDEBRANDT, Stefan, Giaquinta, Mariano
openaire +4 more sources
Sample size estimation for local hypothesis testing of functional data in medical studies: method comparison, recommendations, and a web application. [PDF]
Seydi MR +3 more
europepmc +1 more source
Intravascular electroencephalography (ivEEG) using micro‐intravascular electrodes was developed. Cortical‐vein ivEEG showed a higher signal‐to‐noise ratio and finer spatial resolution of somatosensory evoked potentials (SEPs) than superior sagittal sinus ivEEG, and deep‐vein ivEEG captured clear visual evoked potentials.
Takamitsu Iwata +15 more
wiley +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Precision, accuracy, and reliability of a threshold hunting method for transcranial magnetic stimulation. [PDF]
Shirota Y, Otsuka J, Hamada M.
europepmc +1 more source
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source
Fixed Effect Versus Random Effects Models in Meta-analysis: As Simple as It Gets. [PDF]
Andrade C.
europepmc +1 more source

