Improving Attitude-Behavior Correspondence Through Exposure to Normative Support From a Salient Ingroup [PDF]
, 2002 Katherine M. White +2 more
openalex +1 more source
Arthritis Care &Research, EarlyView.Objective Targeted synthetic disease‐modifying antirheumatic drugs (tsDMARDs) have expanded the management of autoimmune diseases, including rheumatic diseases. As the use of these drugs grows, it is important to understand their effects on pregnancy.
Vienna Cheng +7 more
wiley +1 more source
Cross-Modal Weakly Supervised RGB-D Salient Object Detection with a Focus on Filamentary Structures. [PDF]
Sensors (Basel)Ding Y, Chen W, Zhang G, Feng Z, Li X.
europepmc +1 more source
Sensing of Feeling and "Kansei". Indirect Measurement of Feature Saliency in Face Processing.
, 1995 Takashi Kato, Masaomi Oda
openalex +2 more sources
Transducerless field orientation concepts employing saturation-induced saliencies in induction machines [PDF]
, 2002 P.L. Jansen, R. D. Lorenz
openalex +1 more source
Metabolic Consequences of Rheumatoid Arthritis
Arthritis Care &Research, EarlyView.Patients with rheumatoid arthritis (RA) may have metabolic disruption, which can contribute to adverse long‐term outcomes, for multiple reasons. Patients with RA appear to have a higher risk of sarcopenia, type 1 and type 2 diabetes mellitus, metabolic syndrome, and hypertension. Systemic inflammation in RA can cause a “lipid paradox,” with reduced low‐
Stevie Barry +2 more
wiley +1 more source
MCFNet: Multi-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images. [PDF]
Sensors (Basel)Ding J, Quan Y, Xu H.
europepmc +1 more source
Investor Reaction to Salient News in Closed‐End Country Funds
, 1998 Peter Klibanoff +2 more
openalex +2 more sources
Shoreline Salients and Tombolos on the Santa Catarina coast (Brazil): description and analysis of the morphological relationships [PDF]
, 2002 Antonio Henrique da Fontoura Klein +2 more
openalex +1 more source
International 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