Modeling temporal sequences plays a fundamental role in various modern applications and has drawn more and more attentions in the machine learning community. Among those efforts on improving the capability to represent temporal data, the Long Short-Term Memory (LSTM) has achieved great success in many areas. Although the LSTM can capture long-range dependency in the time domain, it does not exp...

introduction: verapamil, a phenylalkylamin –type ca2+ channel blocker, is widely used in the treatment of cardiovascular disorders especially as an antiaryhthmic and antiangina agent. theoretically, calcium can influence thyroid function and there are evidences that ca2+ channel blockers are able to interfere with thyroid function. in this study, the effects of chronic oral administration of ve...

Based on the experiences of Japan and Germany, Ikegami argues that middle-income countries should introduce public long-term care insurance (LTCi) at an early stage, before benefits have expanded as a result of ad hoc policy decisions to win popular support. The experience of the Netherlands, however, shows that an early introduction of public LTCi may not prevent, but ...

Target-dependent sentiment classification remains a challenge: modeling the semantic relatedness of a target with its context words in a sentence. Different context words have different influences on determining the sentiment polarity of a sentence towards the target. Therefore, it is desirable to integrate the connections between target word and context words when building a learning system. I...

Target-dependent sentiment classification remains a challenge: modeling the semantic relatedness of a target with its context words in a sentence. Different context words have different influences on determining the sentiment polarity of a sentence towards the target. Therefore, it is desirable to integrate the connections between target word and context words when building a learning system. I...

The widely used pull-based method for high-frequency sensor data acquisition from Sensor Observation Services (SOS) is not efficient in real-time applications; therefore, further attention must be paid to real-time mechanisms in the provision process if sensor webs are to achieve their full potential. To address this problem, we created a data provision problem model, and compare the recursive ...