Results 131 to 140 of about 3,189,648 (337)

American College of Rheumatology Guidance Statements for Addressing Mental Health Concerns in Youth With Pediatric Rheumatologic Diseases

open access: yesArthritis Care &Research, EarlyView.
Objective Pediatric rheumatologic diseases (PRDs) are characterized by high rates of anxiety and depression known to impact health‐related outcomes. We present guidance statements to assess and manage mental health concerns for youth with PRDs in pediatric rheumatology practice.
Natoshia R. Cunningham   +21 more
wiley   +1 more source

Adhesively bonded single lap joints with GFRP and CFRP composites in maritime conditions: A comparative study

open access: yesAdvances in Mechanical Engineering
Composites consisting of two or more different macroscopic structures are becoming increasingly popular. This study investigates the long-term effects of single lap-joined GFRP and CFRP specimens on the material after exposure to seawater. Seven-ply GFRP
Gurcan Atakok, Dudu Mertgenc Yoldas
doaj   +1 more source

Gastrointestinal Perforation as a Safety Concern Among Patients With Rheumatoid Arthritis Receiving JAK Inhibitor Therapy: A Systematic Review and Network Meta‐Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective Gastrointestinal perforation (GIP) is a rare and life‐threatening safety concern associated with JAK inhibitors (JAKi). We aimed to review the evidence regarding the risk of GIP associated with the use of JAKi in patients with rheumatoid arthritis (RA) using a systematic review and network meta‐analysis approach.
Thipsukhon Sathapanasiri   +7 more
wiley   +1 more source

The Hygiene of Drawing [PDF]

open access: green, 1907
Wm. H. Burnham
openalex   +1 more source

Drawing in the Collective [PDF]

open access: yes, 2014
MacDonald, Juliet
core   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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