Results 121 to 130 of about 1,954,648 (281)

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Reliability aware multimodal deep learning framework for real time stress and emotional state prediction using speech EEG and facial cues

Discover Computing
Close-to-real-time mental health monitoring has gained significant interest in affective computing, particularly for emotion recognition and affective state analysis in stressful situations.
Y. Ramadevi, T. Shailaja, C. Gireesh, Sabitha Valaboju, M. Raja Sekar, Naveen Kumar Aakuthota   +5 more
doaj   +1 more source

Style-Abstraction-Based Data Augmentation for Robust Affective Computing

Applied Sciences
Personality recognition and emotion recognition, two core tasks within affective computing, are fundamentally constrained by data scarcity as collecting and annotating human behavioral data is expensive and restricted by privacy concerns.
Xu Qiu, Taewan Kim, Bongjae Kim
doaj   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

Molecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu, Nicolas J. Niklaus, Anna M. Schläfli, Igor Tokarchuk, Magali Humbert, Federico La Manna, Bich Vu, David Maul, Ramin Radpour, Marianna Kruithof‐de Julio, Inti Zlobec, Jörn Dengjel, Bruce E. Torbett, Mario P. Tschan   +13 more
wiley   +1 more source

Food Choices after Cognitive Load: An Affective Computing Approach. [PDF]

Sensors (Basel), 2023
Kappattanavar AM, Hecker P, Moontaha S, Steckhan N, Arnrich B.   +4 more
europepmc   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola, Yasmine Illi, Anna Bircher, Marijn Wilmink, Rachele F. Malagutti, Solenn Ottié, Cordelia Schuler, Pedro A. Ruiz, Cheryl de Vallière, Klaus Seuwen, Gerhard Rogler, Martin Hausmann   +11 more
wiley   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Affective computing in automotive industry [PDF]

, 2011
Current state of the art in computer science is an attempt to build a system that understands us. Affective computing is one of the attempts made to build an information system that can detect, classify, and respond to human emotion.
Mohd Hafiz, Mohd Hassin
core   +1 more source

Reading psychology and news communication strategies for affective computing. [PDF]

Front Psychol, 2022
Xu B.
europepmc   +1 more source

AN ANALYSIS OF AFFECTIVE COMPUTING

, 2018
Nowadays, people spend a lot of time connecting with computers and technology. Because of the high expectations for everyday human-computer interaction, robots may learn from their surroundings and so converse more easily with people.
Pragya Singh Tomar* & Brahma Datta Shukla
core   +1 more source