Results 81 to 90 of about 106,956 (270)
Instance-Level Salient Object Segmentation
, 2017 Image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. However, none of the existing methods is able to identify object instances in the detected salient regions.
Li, Guanbin +3 more
core +1 more source
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
The mind-body problem; three equations and one solution represented by immaterial-material data [PDF]
, 2018 Human life occurs within a complex bio-psycho-social milieu, a heterogeneous system that is integrated by multiple bidirectional interrelations existing between the abstract-intangible ideas and physical-chemical support of environment.
Motofei, Ion G., Rowland, David L.
core +1 more source
Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
Attentional Encoder Network for Targeted Sentiment Classification
, 2019 Targeted sentiment classification aims at determining the sentimental tendency towards specific targets. Most of the previous approaches model context and target words with RNN and attention.
Jiang, Tao +4 more
core +1 more source
Attentive Group Equivariant Convolutional Networks
Proceedings of Machine Learning Research, 2020 Proceedings of the 37th International Conference on Machine Learning (ICML ...
Romero, D.W. +3 more
openaire +4 more sources
Developing brain networks of attention [PDF]
Current Opinion in Pediatrics, 2016 Purpose of review Attention is a primary cognitive function critical for perception, language, and memory. We provide an update on brain networks related to attention, their development, training, and pathologies. Recent findings An executive attention network, also called the ...
Michael I, Posner +2 more
openaire +2 more sources
FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
eLife, 2016 Neuronal activity in sensory and fronto-parietal (FP) areas underlies the representation and attentional control, respectively, of sensory information maintained in visual working memory (VWM).
Felix Siebenhühner +3 more
doaj +1 more source
Spatial Neglect and Attention Networks [PDF]
Annual Review of Neuroscience, 2011 Unilateral spatial neglect is a common neurological syndrome following predominantly right hemisphere injuries and is characterized by both spatial and non-spatial deficits. Core spatial deficits involve mechanisms for saliency coding, spatial attention, and short-term memory and occur in conjunction with nonspatial deficits that involve reorienting ...
CORBETTA, MAURIZIO, Shulman, Gordon L.
openaire +3 more sources