Results 71 to 80 of about 1,258,536 (319)
Controllability of nonlinear stochastic neutral fractional dynamical systems
In this paper, we obtain an equivalent nonlinear integral equation to the stochastic neutral fractional system with bounded operator. Using the integral equation, the sufficient conditions for ensuring the complete controllability of the stochastic ...
Trujillo, Juan J. J. +2 more
core +1 more source
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel +8 more
wiley +1 more source
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
A one-to-one relation between a variable-coefficient (3+1)-dimensional nonlinear Schrödinger equation with linear and parabolic potentials and the standard nonlinear Schrödinger equation is presented, and then superposed rogue-wave-like breather solution
Zhu, Hai-Ping, Chen, Ya-Jiang
core +1 more source
Unifying attoclock and Larmor measurements through position-resolved weak values
The measurement of tunneling times in strong-field ionization has been the topic of much controversy in recent years, with the attoclock and Larmor clock being two of the main contenders for correctly reproducing these times.
Pablo M. Maier +3 more
doaj +1 more source
Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning
This study developed a machine learning-based methodology to classify gravitational wave (GW) signals from black holeneutron star (BH-NS) mergers by combining convolutional neural network (CNN) with conditional information for feature extraction.
Nurzhan Ussipov +6 more
doaj +1 more source
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie +3 more
wiley +1 more source
Nonlinear chemical processes fault detection based on adaptive kernel principal component analysis
When kernel Principal Component Analysis (KPCA) is applied to fault detection, kernel Principal Components (KPCs) are divided into two spaces according to the size of variance for fault detection, respectively.
Chen Miao, Zhaomin Lv
doaj +1 more source
Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis
Background/Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs Rheumatoid Arthritis (VARA) Registry.
Katherine D. Wysham +14 more
wiley +1 more source
The Application of Delta Gamma Normal Value at Risk to Measure the Risk in the Call Option of Stock
Call options of stock have a nonlinear dependence on market risk factors, thus encouraging the development of a method capable of measuring the risk of call option of stock, namely the Delta Gamma Normal Value at Risk (DGN VaR) method. The DGN VaR method
Ayu Astuti +3 more
doaj +1 more source

