Results 41 to 50 of about 460,263 (267)

AVNP2 protects against cognitive impairments induced by C6 glioma by suppressing tumour associated inflammation in rats [PDF]

, 2020
© 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).Glioblastoma is a kind of malignant tumour and originates from the central nervous system.
Bankier, Barkal, Barria, Benros, Braganhol, Campos-Pires, Chen, Cheong, Chicoine, Crossen, D'Alessandris, d'Isa, da Silva, Dalton, Del Sol-Fernandez, Ferrandon, Froklage, Gong, Graf, Graus, Guogang Ren, Hao, Hara, He, Heppner, Hilverda, Hwang, Jacob, Janelsins, Ji, Jin Gao, Junyang Li, Lang, Liang, Limin Wu, Liu, McFarland, Meicen Liu, Meng, Mineharu, Mostofa, Murata, Myung, Nagano, Nan, Nan, Noy, Oh, Ohgaki, Okada, Ostrom, Ovais, Park, Parrott, Platten, Quant, Reichel, Reid, Ren, Ren, Ren, Saalik, Shan, Sholl, Sim, Solanki, Sorensen, Sorra, Spacek, Stupp, Stupp, Tanaka, Thompson, Thorsson, Van Dyk, Vecht, Venkatesh, Walker, Walker Ii, Wan, Wang, Wang, Weitzner, Williams, Woodward, Wu, Wu, Yang, Yang, Yang, Yang, Yu, Yu Jiang, Yuen-Ki Cheong, Zhang, Zhu, Zhuo Yang, Zong, Zou   +98 more
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Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods [PDF]

, 2017
Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions that people do not intend to show. Studying MEs is valuable as recognizing them has many important applications, particularly in forensic science and psychotherapy ...
Hong, Xiaopeng, Huang, Xiaohua, Li, Xiaobai, Moilanen, Antti, Pfister, Tomas, Pietikäinen, Matti, Zhao, Guoying   +6 more
core   +2 more sources

Micron-BERT: BERT-Based Facial Micro-Expression Recognition

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Micro-expression recognition is one of the most challenging topics in affective computing. It aims to recognize tiny facial movements difficult for humans to perceive in a brief period, i.e., 0.25 to 0.5 seconds. Recent advances in pre-training deep Bidirectional Transformers (BERT) have significantly improved self-supervised learning tasks in computer
Nguyen, Xuan-Bac, Duong, Chi Nhan, Li, Xin, Gauch, Susan, Seo, Han-Seok, Luu, Khoa   +5 more
openaire   +2 more sources

Facial micro-expression recognition: A machine learning approach

Scientific African, 2020
Micro-expression recognition is a growing research area owing to its application in revealing subtle intention of humans, especially while under high stake conditions.
Iyanu Pelumi Adegun, Hima Bindu Vadapalli   +1 more
doaj   +1 more source

CR3 and Dectin-1 Collaborate in Macrophage Cytokine Response through Association on Lipid Rafts and Activation of Syk-JNK-AP-1 Pathway [PDF]

, 2015
Copyright: © 2015 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source ...
Brown, Gordon D, Chen, Wen-Yu, Chu, Ching-Liang, Chuu, Chih-Pin, Huang, Juin-Hua, Lin, Ching-Yu, Wu, Sheng-Yang, Wu-Hsieh, Betty A   +7 more
core   +4 more sources

Deep Learning for Micro-Expression Recognition: A Survey

IEEE Transactions on Affective Computing, 2022
20 pages, 8 ...
Li, Yante, Wei, Jinsheng, Liu, Yang, Kauttonen, Janne, Zhao, Guoying   +5 more
openaire   +3 more sources

Micro-expression recognition algorithm based on separate long-term recurrent convolutional network

工程科学学报, 2022
With the rapid development of machine learning and deep neural network and the popularization of intelligent devices, face recognition technology has rapidly developed.
Xue-han LI, Si-quan HU, Zhi-guo SHI, Ming ZHANG   +3 more
doaj   +1 more source

Microguards and micromessengers of the genome [PDF]

, 2016
The regulation of gene expression is of fundamental importance to maintain organismal function and integrity and requires a multifaceted and highly ordered sequence of events.
A Bobrie, A Gioti, A Leiblich, A Lukasik, A Sharma, A Weiberg, AE Hall, AH Buck, B-C Yoo, C Braicu, C Fricke, D Green, D Haig, D Kim, DJ Sharkey, DM Pegtel, DP Bartel, E Marin-Gonzalez, E Tili, G Arnqvist, GL Hager, H Liu, H Valadi, H Zhou, J Lotvall, J Skog, JA Andres, JM Perkel, JR Chevillet, JS Parent, K Ohshima, K Sun, K Wang, L Corrigan, L Vojtech, LA McGraw, LA McGraw, LK Sirot, M Ghildiyal, M Greaves, M Mittelbrunn, MK Lawniczak, ML Squadrito, NS Barteneva, O Rechavi, P Cayirlioglu, P Kumar, P Xu, PB Medawar, PS Mitchell, S Mathivanan, S Sarker, S Weilner, S Wigby, S Wigby, T Chapman, T Chapman, T Chapman, T Chapman, T Chapman, T Dalmay, T Dalmay, T Kogure, TE Swingler, VN Kim, W Filipowicz, WX Chen, X Chen, Y Lee, Y Ouyang   +69 more
core   +1 more source

A False Trail to Follow: Differential Effects of the Facial Feedback Signals From the Upper and Lower Face on the Recognition of Micro-Expressions

Frontiers in Psychology, 2018
Micro-expressions, as fleeting facial expressions, are very important for judging people’s true emotions, thus can provide an essential behavioral clue for lie and dangerous demeanor detection.
Xuemei Zeng, Qi Wu, Siwei Zhang, Zheying Liu, Qing Zhou, Meishan Zhang   +5 more
doaj   +1 more source

Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition

, 2018
Facial micro-expression (ME) recognition has posed a huge challenge to researchers for its subtlety in motion and limited databases. Recently, handcrafted techniques have achieved superior performance in micro-expression recognition but at the cost of ...
Khor, Huai-Qian, Lin, Weiyao, Phan, Raphael C. W., See, John   +3 more
core   +1 more source