Results 231 to 240 of about 385,180 (273)

Engineering of Glioblastoma‐Derived Biomimetic Vesicles and Their Structural and Molecular Features

Advanced Healthcare Materials, EarlyView.
ABSTRACT Biomimetic nanosystems and vesicles have arisen as a novel approach to design vesicular transport systems with diverse therapeutic potential. The ‘biomimetic’ strategy involves the integration of cell membrane components into lipid bilayers, conferring them with biological properties originating from the cell of origin. Until now, most studies
Noelia Hernández‐Lobato, Hanan Abumanhal‐Masarweh, Martí de Cabo, Pablo Guerra, Marilena Hadjidemetriou, Neus Lozano, Kostas Kostarelos   +6 more
wiley   +1 more source

Chamber‐Specific Decellularized Extracellular Matrices Differentially Modulate Cardiomyocyte Subtypes to Drive Engineered Heart Tissue Development and Function

Advanced Healthcare Materials, EarlyView.
Chamber‐specific decellularized extracellular matrices (ECMs) were developed, preserving native proteomic profiles of ventricular and atrial myocardium. These innate biochemical cues differentially modulate cardiomyocyte subtypes to drive engineered heart tissue development and function, highlighting the importance of incorporating regional ECM cues in
Dong Gyu Hwang, Myungji Kim, Hwanyong Choi, Jinseon Park, Minji Kim, Donghwan Kim, Bo Ram Lee, Jinah Jang   +7 more
wiley   +1 more source

Characterization of an Injectable Poly(vinyl alcohol)‐gelatin Hydrogel for Growth Factor Delivery in an Orthopedic Application

Advanced Healthcare Materials, EarlyView.
This work introduces photo‐crosslinkable tyraminated poly(vinyl alcohol)‐gelatin (PVA‐GT) hydrogels as tunable injectable platforms for tissue engineering and growth factor delivery applications. This schematic illustrates the two developed hydrogel formulations and the experimental workflow used to evaluate their physico‐chemical properties in vitro ...
Alessia Longoni, Gretel S. Major, Sam Arnold, Samuel Tomkins, Eugenia Spessot, Scott Loeffler, Kieran Lau, Richard Tan, Jessica Harte, Roslyn Kemp, Tess Reynolds, Jelena Rnjak‐Kovacina, Gary J. Hooper, Tim B. F. Woodfield, David C. Kieser, Khoon S. Lim   +15 more
wiley   +1 more source

Micro-attention for micro-expression recognition [PDF]

Neurocomputing, 2020
Micro-expression, for its high objectivity in emotion detection, has emerged to be a promising modality in affective computing. Recently, deep learning methods have been successfully introduced into the micro-expression recognition area. Whilst the higher recognition accuracy achieved, substantial challenges in micro-expression recognition remain.
Chongyang Wang, Min Peng, Tao Bi
exaly   +4 more sources

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Micro-expression recognition system

Optik, 2016
Abstract Micro-expressions are rapid involuntary facial expressions which reveal one's genuine emotions people trying to disguise. To the best of our knowledge, few works have been done in designing a micro-expression recognition visual platform.
Peng Zhang, Xianye Ben, Rui Yan, Chen Wu, Chang Guo   +4 more
openaire   +1 more source

Micro-expressions in Animated Agents

AHFE International, 2022
The overall goal of our research is to develop a system of intelligent multimodal affective pedagogical agents that are effective for different types of learners (Adamo et al., 2021). While most of the research on pedagogical agents tends to focus on the cognitive aspects of online learning and instruction, this project explores the less-studied role ...
Tianyu Hou, Nicoletta Adamo, Nicholas Villani   +2 more
openaire   +1 more source

Micro-Expression Recognition Using Color Spaces

IEEE Transactions on Image Processing, 2015
Micro-expressions are brief involuntary facial expressions that reveal genuine emotions and, thus, help detect lies. Because of their many promising applications, they have attracted the attention of researchers from various fields. Recent research reveals that two perceptual color spaces (CIELab and CIELuv) provide useful information for expression ...
Su-Jing, Wang, Wen-Jing, Yan, Xiaobai, Li, Guoying, Zhao, Chun-Guang, Zhou, Xiaolan, Fu, Minghao, Yang, Jianhua, Tao   +7 more
openaire   +3 more sources

OFF-ApexNet on micro-expression recognition system [PDF]

Signal Processing: Image Communication, 2019
When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-expression. Exploration of automatic facial micro-expression recognition systems is relatively new in the computer vision domain. This is due to the difficulty in implementing optimal feature extraction methods to cope with the subtlety and brief motion ...
Ys Gan, Sze-Teng Liong, Wei-Chuen Yau
exaly   +4 more sources

Domain Regeneration for Cross-Database Micro-Expression Recognition [PDF]

IEEE Transactions on Image Processing, 2018
Recently, micro-expression recognition has attracted lots of researchers' attention due to its potential value in many practical applications, e.g., lie detection. In this paper, we investigate an interesting and challenging problem in micro-expression recognition, i.e., cross-database micro-expression recognition, in which the training and testing ...
Yuan Zong, Wen-Ming Zheng, Xiaohua Huang
exaly   +4 more sources

Emotion Recognition using Micro-expressions

2019 IEEE Bombay Section Signature Conference (IBSSC), 2019
Micro-expressions (MEs) are involuntary, subtle expressions which can reveal concealed emotions that people don’t want to show. However, analyzing such rapid facial micro-expressions is very challenging due to their short duration and low intensity. Here, we are emphasizing on macro & micro-expressions recognition on diverse Indian faces and emotions ...
Dharni Shah, Saloni Shah, Vineetkumar Sharma, Prof. Vijaya Kamble   +3 more
openaire   +1 more source