Results 61 to 70 of about 185,199 (284)

RETRACTED: A Survey on a Nonlinear Regression Application to Machine Learning Techniques for Geomagnetic Data Reconstruction Processing [PDF]

, 2020
Chimata Komala, Dr K Butchi Raju
openalex   +1 more source

Nonlinear function-on-function regression by RKHS [PDF]

, 2022
Peijun Sang, Bing Li
openalex   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
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, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Global and Regional Temporal Changes in Cross‐Country Inequalities of Site‐Specific Osteoarthritis Burden, 1990 to 2021

Arthritis Care &Research, EarlyView.
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rates (ASYRs) for site‐specific OA across 204 countries and territories were obtained from the Global Burden of Diseases, Injuries, and ...
Haowei Chen, Lei Si, David J. Hunter, Lei Zhang, Zhe‐Sheng Chen, Xiaomeng Wang, Vicky Duong, Zhounan Zhou, Peihua Cao, Han Cen, Su'an Tang, Tianyu Chen, Houjun Xue, Zhaohua Zhu, Changhai Ding   +14 more
wiley   +1 more source

Fuzzy Clustering and Nonlinear Regression Imputation for Incomplete Data of Tunnel Boring Machine [PDF]

, 2023
WANG Yitang, Yong Pang, Liyong Zhang, Yanjun Shi, Wei Sun, Xueguan Song   +5 more
openalex   +1 more source

Temporal Trends in and Associations With Nonsteroidal Anti‐inflammatory Drug Prescription in Adult and Pediatric Patients With Inflammatory Bowel Disease

Arthritis Care &Research, EarlyView.
Objective Recent inflammatory bowel disease (IBD) treatment guidelines have recommended against nonsteroidal anti‐inflammatory drug (NSAID) use despite prevalent musculoskeletal symptoms and opioid overuse in this population. Given the discordance between changing national guidelines and potential clinical utility, we sought to assess national temporal
Adam S. Mayer, Rui Xiao, Andrew Grossman, Meenakshi Bewtra, Michael D. George, Pamela F. Weiss   +5 more
wiley   +1 more source

Use of a Molecular Signature Response Classifier to Inform Treatment Selection Improves Clinical Disease Activity Among Patients with Rheumatoid Arthritis Initiating a Biologic or Targeted Synthetic Disease‐Modifying Antirheumatic Drug

Arthritis Care &Research, EarlyView.
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, Timothy Beukelman, Nicholas P. McCormick, Jeffrey R. Curtis   +3 more
wiley   +1 more source

Water retention and penetration resistance equations for the least limiting water range

Scientia Agricola
: The least limiting water range is a soil physical quality indicator, which is useful to predict the optimum water range for plant growth in a given soil and to study the effects of soil use and management over this optimum water range by integrating ...
Tairone Paiva Leão
doaj   +1 more source

Likelihood interval for nonlinear regression. [PDF]

Transl Clin Pharmacol, 2023
Lee MH, Bae KS.
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source