Results 51 to 60 of about 460,263 (267)

Dectin-1 Activation Exacerbates Obesity and Insulin Resistance in the Absence of MyD88 [PDF]

, 2017
This work was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, grant numbers 11/15682-4, 12/02270-2, 15/18121-4), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Regenera INCT Process Grant 465656/2014-5 ...
Aguiar, Cristhiane Favero, Albuquerque, José Antonio T., Almeida, Rafael Ribeiro, Amano, Mariane Tami, Andrade-Oliveira, Vinicius, Belchior, Thiago, Braga, Tarcio Teodoro, Brown, Gordon D, Castoldi, Angela, Câmara, Niels Olsen Saraiva, da Silva, Marina Burgos, Festuccia, Willian T., Gaiarsa, Jonas W., Hiyane, Meire Ioshie, Hoffmann, Christian, Ignácio, Aline, Latância, Marcela Teatin, Lee, Jennifer, Lima, Joanna Darck Carola C., Loures, Flávio V, Macêdo, Marina Barguil, Martínez, Luis A. Luévano, Miyagi, Marcelli Terumi, Moraes-Vieira, Pedro Manoel, Mori, Marcelo A., Seelaender, Marília   +25 more
core   +5 more sources

Adaptive spatio-temporal attention neural network for crossdatabase micro-expression recognition

Virtual Reality & Intelligent Hardware, 2023
Background: Recognizing human emotions by micro-expression recognition is one of the most critical issues in human-computer interaction applications.
Yuhan Ran, Wenming ZHENG, Yuan ZONG, Jiateng LIU   +3 more
doaj   +1 more source

Micro-expression recognition from local facial regions

Signal Processing: Image Communication, 2021
Abstract MiE is a facial involuntary reaction that reflects the real emotion and thoughts of a human being. It is very difficult for a normal human to detect a Micro-Expression (MiE), since it is a very fast and local face reaction with low intensity.
Aouayeb, M., Hamidouche, Wassim, Soladie, Catherine, Kpalma, Kidiyo, Seguier, Renaud   +4 more
openaire   +2 more sources

Microexpression recognition model based on non negative matrix decomposition in intelligent classroom

Intelligent Systems with Applications
At present, intelligent systems with the function of automatic micro expression recognition are gradually applied in intelligent classrooms, but there is still a problem of low recognition rate.
Mingwei Li, Jianyuan Li
doaj   +1 more source

Micro Expression Recognition Using Convolution Patch in Vision Transformer

IEEE Access, 2023
Humans possess an intrinsic ability to hide their true emotions. Micro-expressions are subtle changes in facial muscles that are involuntary by nature and easy to hide.
Sakshi Indolia, Swati Nigam, Rajiv Singh, Vivek Kumar Singh, Manoj Kumar Singh   +4 more
doaj   +1 more source

Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition

, 2019
In the recent year, state-of-the-art for facial micro-expression recognition have been significantly advanced by deep neural networks. The robustness of deep learning has yielded promising performance beyond that of traditional handcrafted approaches ...
Gan, Y. S., Huang, Yen-Chang, Khor, Huai-Qian, Liong, Sze-Teng, See, John   +4 more
core   +1 more source

New Tests to Measure Individual Differences in Matching and Labelling Facial Expressions of Emotion, and Their Association with Ability to Recognise Vocal Emotions and Facial Identity [PDF]

, 2015
Although good tests are available for diagnosing clinical impairments in face expression processing, there is a lack of strong tests for assessing "individual differences"--that is, differences in ability between individuals within the typical ...
Davis, Joshua M., Irons, Jessica, McKone, Elinor, O’Connor, Kirsty B., Palermo, Romina   +4 more
core   +1 more source

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

FEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga, Toshiki Takahashi, Akiko Kuma, Hiroyuki Kawahara   +3 more
wiley   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

TKRM: Learning a Transfer Kernel Regression Model for Cross-Database Micro-Expression Recognition

Mathematics, 2023
Cross-database micro-expression recognition (MER) is a more challenging task than the conventional one because its labeled training (source) and unlabeled testing (target) micro-expression (ME) samples are from different databases.
Zixuan Chen, Cheng Lu, Feng Zhou, Yuan Zong   +3 more
doaj   +1 more source