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...

the median overall survival in glioblastoma multiforme is usually less than one year. long-term survival is rare and is seen in only 3%-6% of gbm patients. the present study reports the characteristics and treatment outcomes of six cases of glioblastoma multiforme with long-term survival. a literature review is also presented. between 1990 and 2008, 217 glioblastoma multiforme patients have bee...

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...

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 ...

Recently there has been considerable interest and research into the functional significance of postactivation potentiation (PAP) on sport performance. The interest has evolved around the potential for enhancing acute performance or the long-term training effect, typically in the form of complex training. Complex training usually involves performing a weight-training exercise with high loads bef...

Asphalt composite concrete pavement is one of the common forms in China. However, due to influence design, materials, construction quality, and other aspects, asphalt develops various degrees cracks after being put into use, which affects service performance life pavement. The Burgers model used examine effects fiber-volume-fraction length–diameter-ratio on viscoelastic mechanical behavior para...

Due to traffic loading and weathering, highway pavements deteriorate starting immediately after construction. Many rehabilitation methods are available to bring deteriorated pavements back to an appropriate level of service for road users. One of these methods, chip seal, has been widely used in many states, including Kansas. This study evaluated the performance of chip seal treatments in Kansa...

A full scale snow melting system with heat pipe technology is built in this work, which avoids the negative effects on concrete structure and environment caused by traditional deicing chemicals. The snow melting, ice-freezing performance and temperature distribution characteristics of heat pipe concrete runway were discussed by the outdoor experiments. The results show that the temperature of t...