Results 81 to 90 of about 161,242 (287)
Affective Computing: Recent Advances, Challenges, and Future Trends
Affective computing is a rapidly growing multidisciplinary field that encompasses computer science, engineering, psychology, neuroscience, and other related disciplines.
Guanxiong Pei +5 more
doaj +1 more source
Prerequisites for Affective Signal Processing (ASP) - Part V: A response to comments and suggestions [PDF]
In four papers, a set of eleven prerequisites for affective signal processing (ASP) were identified (van den Broek et al., 2010): validation, triangulation, a physiology-driven approach, contributions of the signal processing community, identification of
Broek, Egon L. van den +4 more
core +1 more source
Continual Learning for Affective Computing
Real-world application requires affect perception models to be sensitive to individual differences in expression. As each user is different and expresses differently, these models need to personalise towards each individual to adequately capture their expressions and thus, model their affective state.
openaire +2 more sources
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
Mistaken Pedal Pressing during Emergency Braking by Analyzing Pedal Behaviors
Affective computing has been used to improve computer usability and user interface by considering user's emotion. There is still ample scope for exploration of affective computing especially for applications in a driver assistance system to ...
Rahadian Yusuf +2 more
doaj +1 more source
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Predicting cardiovascular disease in patients with mental illness using machine learning
Background Cardiovascular disease (CVD) is twice as prevalent among individuals with mental illness compared to the general population. Prevention strategies exist but require accurate risk prediction.
Martin Bernstorff +4 more
doaj +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Special Issue on Socio-Cognitive and Affective Computing
Social cognition focuses on how people process, store, and apply information about other people and social situations. [...]
Antonio Fernández-Caballero +3 more
doaj +1 more source

