نتایج جستجو برای: short term context
تعداد نتایج: 1274417 فیلتر نتایج به سال:
Abstract Background: Diabetes is a common disease that is characterized by hyperglycemia or High blood sugar. Central neuropathic is one of the most common Diabetic complications.The increase of blood sugar levels can cause adverse effects on cognitive functions such as information processing speed, memory, and the learning. The aim of this study was to assess short term memory function in pa...
The temporal context model posits that search through episodic memory is driven by associations between the multiattribute representations of items and context. Context, in turn, is a recency weighted sum of previous experiences or memories. Because recently processed items are most similar to the current representation of context, M. Usher, E. J. Davelaar, H. J. Haarmann, and Y. Goshen-Gottste...
Abstract Background: Diabetic patients are more prone to oral infections and periradicular lesions due to changes in their immune system and qualitative and quantitative changes in normal flora of their mouth. The aim of this study was to evaluate the frequency of periradicular lesions in diabetic patients in Babol, North of Iran. Methods: From October 2011 to March 2012, 135 diabetic patient...
Community Question Answering (CQA) sites provide knowledge sharing facility as the users can post questions and other share their answers. The selection of top-quality answers from set in a thread is significant challenging task Natural Language Processing (NLP). To address this issue, we propose deep learning based spatial temporal Bidirectional Long Short-Term Memory (Bi-LSTM) algorithm. exis...
Short-term load forecasting (STLF) is fundamental for the proper operation of power systems, as it finds its use in various basic processes. Therefore, advanced calculation techniques are needed to obtain accurate results consumption prediction, taking into account numerous exogenous factors that influence results’ precision. The purpose this study integrate, additionally conventional (weather,...
Short-term traffic flow prediction is to automatically predict the changes in a period of future time based on extraction spatiotemporal features road network. For governments, timely and accurate crucial plan manage-ment improve efficiency. Recent advances deep learning have shown their dominance short-term prediction. However, previous methods are mainly limited temporal so far failed bidirec...
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...
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