Results 91 to 100 of about 2,035,018 (274)
A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
FEBS Letters, EarlyView.Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source
, 2017 The author provides an in-depth history of affective computing and its potential in the near-term ...
Yates, Heath
core +1 more source
Affective computing: challenges and prospect [PDF]
, 2015 -Affective computing simulates empathy through machine that could recognize, interpret, process and respond to human affects. With the use of sensors and computational devices, it proposes to exhibit either innate emotional capabilities or that is ...
Nitigya Sambyal
core
Improving classification of posture based attributed attention assessed by ranked crowd-raters
EAI Endorsed Transactions on Pervasive Health and Technology, 2015 Attribution of attention from observable body posture is plausible, providing additional information for affective computing applications. We previously reported a promissory 69. 72 ± 10.
Patrick Heyer +3 more
doaj +1 more source
Metastatic niche shaped by host factors influences disseminated cancer cell fate
FEBS Letters, EarlyView.Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward +2 more
wiley +1 more source
Review of Affective Computing.
AI Mag., 1999 Review of Affective Computing, Rosalind Picard, The MIT Press, Cambridge, Massachusetts, 1997.
openaire +2 more sources
Enhancing health care via affective computing [PDF]
, 2018 Affective computing is a multidisciplinary field that studies the various ways by which computational processes are able to elicit, sense, and detect manifestations of human emotion.
Yannakakis, Georgios N.
core +1 more source
Smaller is better: nanobodies meet NMR
FEBS Letters, EarlyView.Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
FEBS Letters, EarlyView.The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source
Affective Computing and Intelligent Interaction
, 2012 2012 International Conference on Affective Computing and Intelligent Interaction (ICACII 2012) was the most comprehensive conference focused on the various aspects of advances in Affective Computing and Intelligent Interaction.
Luo, Jia
core +1 more source