two omega-3 fatty acids including docosahexaenoic acid (dha) and eicosapentaenoic acid (epa) are essential for the physiologic function of neuronal cell membrane. normal function of neuronal cell membrane requires appropriate composition of fatty in its structure. present study was designed to compare the effect of short-term and long-term pretreatment with omega-3 fatty acids on scopolamine-in...

modern neuroscientific research help to solve the impotent challenge in curriculum design and teaching for enhancing students’ ability to organize information in a way that makes it efficient in response to an appropriate context such as problem solving and critical thinking via knowing about the mechanism of different type of memories especially long term memory. at first, we should to clarify...

in this paper we examine the effect of the oil volatility, consumer price index (cpi) and industrial production on the stock market return in tehran stock exchange (tse). we used seasonal data in period 1378-1390 and auto regressive distributed method (ardl) for the short-term and long-term relationship between the variables. as results of research indicate, we find that there is positive short...

This paper presents a dialogue response generator based on long short term memory (LSTM) neural networks for the SLG (Spoken Language Generation) pilot task of DSTC5 [1]. We first encode the input containing different number of semantic units as fixed-length semantic vector with a LSTM encoder. Then we decode the semantic vector with a variant of LSTM and generate corresponding text. In order t...

Feed-forward, Deep neural networks (DNN)-based text-tospeech (TTS) systems have been recently shown to outperform decision-tree clustered context-dependent HMM TTS systems [1, 4]. However, the long time span contextual effect in a speech utterance is still not easy to accommodate, due to the intrinsic, feed-forward nature in DNN-based modeling. Also, to synthesize a smooth speech trajectory, th...

the biggest challenges faced in big cities are greenhouse gas emission and growing energy needs. efficient utilization of existing infrastructures has a prominent role in response to the challenges. energy hub approach embraces performance of different energy networks. energy hub is defined as a super node in electrical system receiving distinctive energy carriers such as gas and electricity in...

accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. however, due to its time variant behavior and non-linear and non-stationary nature, electricity...