Results 171 to 180 of about 7,428 (262)

Response to Allopurinol and Febuxostat According to the Fractional Excretion of Urate in Men With Gout

Arthritis Care &Research, EarlyView.
Objective Body mass index (BMI), glomerular filtration rate (GFR), and pretreatment urate levels have been reported to influence the urate‐lowering response to allopurinol. We investigated whether the fractional excretion of uric acid (FEUA) also modulates this response and relates to oxypurinol concentrations.
Pascal Richette, Anouk Walter‐Petrich, Quang Dinh Nguyen, Matthieu Resche‐Rigon, Quang Huy Dinh Nguyen, Minh Duc Do, Thao Phuong Mai, Tuan Duc Nguyen, Fernando Perez‐Ruiz, Emmanuel Letavernier, Tristan Pascart, Augustin Latourte, Hang Korng Ea, Thomas Bardin   +13 more
wiley   +1 more source

Validation of a Genetic Risk Score Combined With Clinical Variables for Predicting Pulmonary Fibrosis in Early Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). This study aimed to externally validate a genetic risk score (GRS) and a combined risk score (CRS) for predicting the risk of RA‐associated PF in an independent cohort of patients with early RA.
Mikael Brink, Austin Wheeler, Bryant R. England, Solbritt Rantapää‐Dahlqvist   +3 more
wiley   +1 more source

Rethinking expertise in artificial intelligence ethics for global health. [PDF]

Int Health
Irfan B, Sirvent R.
europepmc   +1 more source

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis–Associated Interstitial Lung Disease Risk

Arthritis Care &Research, EarlyView.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr, Austin M. Wheeler, Brent A. Luedders, Michael Duryee, Halie Frideres, Katherine D. Wysham, Grant W. Cannon, Gary Kunkel, Dana P. Ascherman, Paul A. Monach, Gail S. Kerr, Andreas M. Reimold, Scott M. Matson, Joshua F. Baker, Geoffrey M. Thiele, Ted R. Mikuls, Bryant R. England   +16 more
wiley   +1 more source

Demography and dynamics of giant kelp cohorts across four decades: Lessons for conservation and resilience planning. [PDF]

Ecol Appl
Parnell PE, Lennert-Cody CE, Ladah LB, Riser KL, Bulach B, Leichter JJ, Latker AK, Schroeter SC, Dayton PK.   +8 more
europepmc   +1 more source

Comparison of Roman Domination Number with Domination Number, Independent Domination Number and Chromatic Number of a Graph

International Journal for Research in Applied Science and Engineering Technology, 2019
openaire   +1 more source

Algorithms for weighted domination number and weighted independent domination number of a tree

International Journal of Contemporary Mathematical Sciences, 2018
Min-Jen Jou, Jenq-Jong Lin
openaire   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

"Empowerment" without transformation? A critique of women empowerment without a masculinities lens in gender and agriculture literature. [PDF]

Front Sociol
Mwiine AA, Mangheni MN, Businge M, Shimali F, Angudubo S, Nakyewa B, Nanyonjo G, Asiimwe E, Sanya LN.   +8 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source