Results 71 to 80 of about 302,068 (315)

Multiple roles of motor imagery during action observation [PDF]

open access: yes, 2013
Over the last 20 years, the topics of action observation (AO) and motor imagery (MI) have been largely studied in isolation from each other, despite the early integrative account by Jeannerod (1994, 2001). Recent neuroimaging studies demonstrate enhanced
Stefan eVogt   +9 more
core   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Metric learning by simultaneously learning linear transformation matrix and weight matrix for person re‐identification

open access: yesIET Computer Vision, 2019
Mahalanobis metric learning is one of the most popular methods for person re‐identification. Most existing metric learning methods regularly formulate the person re‐identification as an unconstrained optimisation problem and the constraints on the ...
Jian'an Zhang, Qi Wang, Yuan Yuan
doaj   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

Early Action Prediction With Generative Adversarial Networks

open access: yesIEEE Access, 2019
Action Prediction is aimed to determine what action is occurring in a video as early as possible, which is crucial to many online applications, such as predicting a traffic accident before it happens and detecting malicious actions in the monitoring ...
Dong Wang, Yuan Yuan, Qi Wang
doaj   +1 more source

Mental imagery. [PDF]

open access: yesPsychological Review, 1903
n ...
openaire   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Olfactory and gustatory mental imagery : modulation by sensory experience and comparison to auditory mental imagery

open access: yes, 2012
Olfactory and gustatory mental images are defined as short-term memory representations of olfactory or gustatory events that give rise to the experience of “smelling with the mind’s nose” or “tasting with the mind’s tongue.” This chapter reviews ...
Przybylski, Lauranne   +9 more
core   +1 more source

RGB-D Scene Recognition via Spatial-Related Multi-Modal Feature Learning

open access: yesIEEE Access, 2019
RGB-D image-based scene recognition has achieved significant performance improvement with the development of deep learning methods. While convolutional neural networks can learn high-semantic level features for object recognition, these methods still ...
Zhitong Xiong, Yuan Yuan, Qi Wang
doaj   +1 more source

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