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Sentiment analysis is attracting more and more attentions and has become a very hot research topic due to its potential applications in personalized recommendation, opinion mining, etc. Most of the existing methods are based on either textual or visual data and can not achieve satisfactory results, as it is very hard to extract sufficient information from only one single modality data. Inspired by the observation that there exists strong semantic correlation between visual and textual data in social medias, we propose an end-to-end deep fusion convolutional neural network to jointly learn textual and visual sentiment representations from training examples. The two modality information are fused together in a pooling layer and fed into fully-connected layers to predict the sentiment polarity. We evaluate the proposed approach on two widely used data sets. Results show that our method achieves promising result compared with the state-of-the-art methods which clearly demonstrate its competency.Index Termssentiment analysis, visual sentiment, deep fusion, convolutional neural network

Recently, the main therapy of medullary thyroid cancer (MTC) is surgical, but by which way there is a poor prognosis with a mean survival of only 5 years. In some cases, some researchers found that it is the medullary thyroid cancer stem cells (MTCSCs) that cause metastasis and recurrence. This study aimed to eradicate MTCSCs through administration of all-trans-retinoic acid (ATRA). Here we demonstrate that MTCSCs possess stemlike properties in serum-free medium. The ABCG2, OCT4 and sodium iodide symporter (NIS) were changed by ATRA. Additionally, we found that ATRA can increase the expression of NIS in vivo. All the data suggested that ATRA could increase the iodine uptake of MTCSCs through NIS.Keywords: ATRA -medullary thyroid carcinoma stem cells -the capability of radioiodine uptake -131 I

The quality of Dendrobium nobile Lindl. is related to its endophytic fungi. It has been reported that the mycorrhizal fungus MF23 helps to increase the content of dendrobine in Dendrobium , but few studies have explained the mechanism underlying this phenomenon. In a previous study, we verified the mechanism of symbiosis between MF23 and D. nobile on agar medium. The research carried out in this study on bark medium, similar to the natural environment, is of great importance because of its benefits for wide application. We found a significant effect, especially in the later period of cultivation, in which the highest dendrobine content in the experimental group was 0.147%, which is equivalent to 2.88 times that of the control group, and suggesting that MF23 promoted D. nobile in the natural environment, which verifies the application of the technique in field conditions. This result also implied that post-modification enzyme genes might play an important role in stimulating the biosynthesis of dendrobine.