Open Access. Powered by Scholars. Published by Universities.®
Nanoscience and Nanotechnology Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Additive manufacturing (3)
- Breast cancer (2)
- Cell progression (2)
- Mechanical loading (2)
- Mechanotransduction (2)
-
- Metastasis (2)
- Microstructure (2)
- Substrate microenvironments (2)
- Surface wettability (2)
- Wound healing (2)
- ARDS (1)
- Additive manufacturing (AM); artificial intelligence (AI); data analytics; engineering design; quality management; sensor systems; simulation modeling (1)
- Adhesive scaffolds (1)
- Alignment (1)
- Aluminium foam sandwich panels; low velocity impact tests; lightweight structures; offshore structures; non-destructive evaluation; ultrasonic phased array; digital radiography (1)
- Al–Si eutectic; laser rapid solidification; ductility; strain hardening; dislocation (1)
- Anisotropic materials (1)
- Artificial vertebral disc (1)
- Assistive technology (1)
- Attenuation (1)
- Augmentative and alternative communication (1)
- Autoantautoantibodies; cell–cell adhesion; desmosome; mechanical stress; pemphigus (1)
- Autoantibodies; cell–cell adhesion; desmosome; mechanical stress; pemphigus (1)
- Backscatter (1)
- Balance (1)
- BioMEMS (1)
- Brain injury (1)
- CNN (1)
- Camptothecin (1)
- Cell mechanics (1)
- Publication
- Publication Type
Articles 61 - 61 of 61
Full-Text Articles in Nanoscience and Nanotechnology
Social Connectedness And Negative Affect Uniquely Explain Individual Differences In Response To Emotional Ambiguity, Maital Neta, Rebecca L. Brock
Social Connectedness And Negative Affect Uniquely Explain Individual Differences In Response To Emotional Ambiguity, Maital Neta, Rebecca L. Brock
Department of Mechanical and Materials Engineering: Faculty Publications
Negativity bias is not only central to mood and anxiety disorders, but can powerfully impact our decision-making across domains (e.g., financial, medical, social). This project builds on previous work examining negativity bias using dual-valence ambiguity. Specifically, although some facial expressions have a relatively clear negative (angry) or positive valence (happy), surprised expressions are interpreted negatively by some and positively by others, providing insight into one’s valence bias. Here, we examine putative sources of variability that distinguish individuals with a more negative versus positive valence bias using structural equation modeling. Our model reveals that one’s propensity toward negativity (operationalized as temperamental …