Results 101 to 110 of about 1,028,836 (338)
Objectives: Children with hearing loss listen and learn in environments with noise and reverberation, but perform more poorly in noise and reverberation than children with normal hearing.
Ryan W. McCreery+4 more
doaj +1 more source
NMDAR‐Antibody Encephalitis Diagnosed With Primary Central Nervous System Lymphoma: A Case Series
ABSTRACT N‐methyl‐D‐aspartate receptor‐antibody encephalitis (NMDAR encephalitis) is one of the most common forms of autoimmune encephalitis, with a paraneoplastic relationship described in approximately 38%. Primary central nervous system lymphoma (PCNSL) is a rare hematologic malignancy that is not often considered as the underlying neoplasm in this ...
Soo Hyun Ahn+4 more
wiley +1 more source
SARS‐CoV‐2 Is Linked to Brain Volume Loss in Multiple Sclerosis
ABSTRACT Objective The impact of SARS‐CoV‐2 infection on brain and spinal cord pathology in patients with multiple sclerosis (pwMS) remains unclear. We aimed to describe changes in brain lesion activity and brain and spinal cord volumes following SARS‐CoV‐2 infection.
Tomas Uher+12 more
wiley +1 more source
A Limited‐Vocabulary Adaptive Speech‐Recognition System [PDF]
Paul W. Ross
openalex +1 more source
Phenotyping Healthcare Use 2–3 Decades Before the First Multiple Sclerosis Demyelinating Event
ABSTRACT Objective Phenotype hospital, physician, and emergency department (ED) visits by diagnoses and specialty up to 29 years pre‐multiple sclerosis (MS) onset versus a matched population without MS. Methods We identified people with MS (PwMS) using population‐based administrative data from Ontario, Canada (1991–2020).
Helen Tremlett+8 more
wiley +1 more source
ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone+19 more
wiley +1 more source
Speech Emotion Recognition Based on Power Normalized Cepstral Coefficients in Noisy Conditions
Automatic recognition of speech emotional states in noisy conditions has become an important research topic in the emotional speech recognition area, in recent years.
M. Bashirpour, M. Geravanchizadeh
doaj
Speech recognition technology is an important branch in the field of artificial intelligence, aiming to transform human speech into computer-readable text information.
Xun Chen+3 more
doaj +1 more source
Detecting rs‐fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability
ABSTRACT Background Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice.
Jean Paul Medina Carrion+15 more
wiley +1 more source
Experiments in Automatic Speech Recognition [PDF]
Willard F. Meeker+2 more
openalex +1 more source