Unlike images or videos data which can be easily labeled by human being, sensor data annotation is a timeconsuming process. However, traditional methods of human activity recognition require a large amount of such strictly labeled data for training classifiers. In this paper, we present an attentionbased convolutional neural network for human recognition from weakly labeled data. The proposed attention model can focus on labeled activity among a long sequence of sensor data, and while filter out a large amount of background noise signals. In experiment on the weakly labeled dataset, we show that our attention model outperforms classical deep learning methods in accuracy. Besides, we determine the specific locations of the labeled activity in a long sequence of weakly labeled data by converting the compatibility score which is generated from attention model to compatibility density. Our method greatly facilitates the process of sensor data annotation, and makes data collection more easy.Index Terms-Human activity recognition, attention-based convolutional neural network, compatibility density, weakly supervised learning, wearable sensor data.
SUMMARY
Body and organ size regulation in mammals involves multiple signaling pathways and remains largely enigmatic. Here, we report that
Pum1
and
Pum2
, which encode highly conserved PUF RNA-binding proteins, regulate mouse body and organ size by post-transcriptional repression of the cell cycle inhibitor
Cdkn1b
. Binding of PUM1 or PUM2 to Pumilio binding elements (PBEs) in the 3
’
UTR of Cdkn1b inhibits translation, promoting G1-S transition and cell proliferation. Mice with null mutations in Pum1 and Pum2 exhibit gene dosage-dependent reductions in body and organ size, and deficiency for
Cdkn1b
partially rescues postnatal growth defects in
Pum1
−/−
mice. We propose that coordinated tissue-specific expression of
Pum1
and
Pum2
, which involves auto-regulatory and reciprocal post-transcriptional repression, contributes to the precise regulation of body and organ size. Hence
PUM
-mediated post-transcriptional control of cell cycle regulators represents an additional layer of control in the genetic regulation of organ and body size.
A sandwich-type electrochemical immunosensor for the detection of alpha-fetoprotein based on a Au-antibody nanocomposite thin film as an electrode platform which was prepared by a liquid-liquid interface method was developed.
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