Results 141 to 150 of about 127,975,471 (298)
Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors
Advanced Science, EarlyView.Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu +4 more
wiley +1 more source
Symphysis-fundal height measurements in predicting fetal macrosomia
International Journal of Medicine and Health Development, 2000 The predictive value of symphysio-funtfai height(SFH) measurements in fetal macrosomia was evaluated in a prospective cross-sectional study of 378 consecutive parturients at the University of Nigeria Teaching Hospital, Enugu, Eastern Nigeria over a three
H E Onah
doaj
Comparison of various prediction methods in terms of the area under the ROC curve (AUC).
, 2013 Comparison of various prediction methods in terms of the area under the ROC curve (AUC).
Türker Basel (486491) +1 more
core +1 more source
Advanced Science, EarlyView.Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
Predictive ability of the biomarkers measured as assessed by area under the ROC curve analyses.
, 2015 Predictive ability of the biomarkers measured as assessed by area under the ROC curve analyses.
Mahir Karakas (106271) +6 more
core +1 more source
Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG
Advanced Science, EarlyView.Simultaneous MEG and stereotactic EEG (SEEG) recordings provide a direct validation framework for MEG source imaging in focal epilepsy. Virtual SEEG signals derived from MEG reconstructions reveal significant agreement with intracranial measures of spike localization, resting‐state oscillations, and functional connectivity, while also identifying ...
Jawata Afnan +10 more
wiley +1 more source
Predicting potentially hazardous chemical reactions using an explainable neural network. [PDF]
Chem Sci, 2021 Kim J +6 more
europepmc +1 more source
, 2019 ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation cohort by different cancer stages.
Pei-Tseng Kung (593657) +5 more
core +1 more source
Advanced Science, EarlyView.A non‐invasive periodontitis diagnosis platform was developed using Au nanoparticles‐decorated mesoporous Cr2O3 (Au@mCr2O3) particles with Schwarz P surface as matrix for saliva metabolic fingerprinting (SMFs) analysis via MALDI‐MS. With the assistance of machine learning of SMFs, this platform enables efficient diagnosis and the screening of potential
Yue Sun +9 more
wiley +1 more source
Advanced Science, EarlyView.Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source