Results 121 to 130 of about 584,753 (230)
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi+5 more
wiley +1 more source
This study investigates how gaze mode and stimulus brightness affect augmented reality‐based steady‐state visual evoked potentials (AR‐SSVEP) brain‐computer interface (BCI) performance. Experiments with 20 participants show that binocular gaze improves recognition accuracy and stimulus luminance impacts performance.
Yiting Geng+6 more
wiley +1 more source
Background Energy communities and local electricity markets (e.g., as peer-to-peer trading) are on the rise due to increasingly decentralized electricity generation and favorable adjustment of the legal framework in many European countries.
Theresia Perger, Hans Auer
doaj
Veilederblikket: Hvordan arbeidsbetingelser former Nav-ansattes syn på brukerne og deres problemer
Artikkelen undersøker hvordan Nav-veilederes blikk på brukerne og deres problemer formes av de institusjonelle og organisatoriske rammene de jobber under. Datamaterialet består av seks fokusgruppeintervjuer med to ulike grupper Nav-veiledere.
Silje Andresen, Maria G. Volckmar-Eeg
doaj +1 more source
Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification
We propose an algorithm targeting the identification of more sources than channels for electroencephalography (EEG). Our overcomplete source identification algorithm, Cov-DL, leverages dictionary learning methods applied in the covariance-domain ...
Balkan, Ozgur+2 more
core
Variation in visual input and the occipital EEG [PDF]
Anthony Gale+2 more
openalex +1 more source
A mobile robot equipped with a 3D‐printed, noninvasive electrophysiological sensor for real‐time monitoring of tomato plant health based on irrigation levels is presented. The sensor provides high electrical reliability, sensitive electrophysiological signal detection (0.0122 mV), and 86.91% classification accuracy using scalogram images, thereby ...
Yiting Chen+4 more
wiley +1 more source
Human neonatal EEG: Frequency analysis of awake and asleep samples from four areas [PDF]
Alexander K. Bartoshuk
openalex +1 more source
ABSTRACT NM_000141.5: FGFR2 c.1032G>A is a pathogenic variant that causes Crouzon syndrome through activation of a new donor splice site. This clinical report highlights the intrafamilial variability that can exist with this specific variant. The proband is a 4‐year‐old boy who initially presented with concern for seizures.
Jessica T. Ogawa+3 more
wiley +1 more source