Results 111 to 120 of about 1,046,371 (288)
Noise Minimization in Factor Models
Abstract In this brief paper we formulate an approach to system identification which treats all variables in a symmetric way. For this purpose we introduce a class of factor analysis models where the dynamical factor process satisfies linear system restrictions. In a sense this integrates the behavioural approach to system identification, which up to
Heij, Christiaan, Roorda, B (Berend)
openaire +2 more sources
Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis
ABSTRACT Paramagnetic rim lesions (PRLs) are a subset of chronic active multiple sclerosis (MS) lesions marked by iron‐laden microglia and macrophages. Ocrelizumab, a monoclonal antibody targeting CD20+ B cells, suppresses acute MS activity, but its effect on PRLs remains unclear. In a longitudinal study of 29 ocrelizumab‐treated patients with at least
Kimberly H. Markowitz +9 more
wiley +1 more source
Data-driven noise modeling of digital DNA melting analysis enables prediction of sequence discriminating power. [PDF]
Langouche L +5 more
europepmc +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Speech Enhancement Based on Unidirectional Interactive Noise Modeling Assistance
It has been demonstrated that interactive speech and noise modeling outperforms traditional speech modeling-only methods for speech enhancement (SE). With a dual-branch topology that simultaneously predicts target speech and noise signals and employs ...
Yuewei Zhang, Huanbin Zou, Jie Zhu
doaj +1 more source
Input noise approximation in tracker modeling [PDF]
The validity of approximating random Gaussian distributed inputs used in human response modeling by sums of discrete sine waves is studied. An ideal rectangular power density spectrum is simulated using both filtered Gaussian white noise and sums-of ...
Hannen, R. A., Torrey, P. F.
core +1 more source
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier +12 more
wiley +1 more source
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1‐8) assigned to each domain.
Kevin Zhang +8 more
wiley +1 more source
Modeling and Measurement of Noise in Aluminium Nitride Piezoelectric MEMS
This study presents a comprehensive investigation into the noise behavior of piezoelectric MEMS devices using a combined experimental and modeling‐based approach. A detailed analysis is performed to decompose the total noise into its constituent sources,
Sina Zare Pakzad +8 more
doaj +1 more source

