LONG SHORT-TERM MEMORY WITH QUADRATIC CONNECTIONS IN RECURSIVE NEURAL NETWORKS FOR REPRESENTING COMPOSITIONAL SEMANTICS

Long Short-Term Memory With Quadratic Connections in Recursive Neural Networks for Representing Compositional Semantics

Long short-term memory (LSTM) has been widely used in different applications, such as natural language processing, speech recognition, and computer vision over recurrent neural network (RNN) or recursive neural network (RvNN)-a tree-structured RNN.In addition, the Plush LSTM-RvNN has been used to represent compositional semantics through the connec

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An RFCSO-based grid stability enhancement by integrating solar photovoltaic systems with multilevel unified power flow controllers

Multilevel unified power flow controllers (ML-UPFCs) aim to improve grid stability, power quality, and fault management.This approach is particularly beneficial for renewable energy systems connected to a grid, where efficient power flow and robust fault handling are crucial for maintaining system reliability.However, current grid-integrated system

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Resistance associated metabolite profiling of Aspergillus leaf spot in cotton through non-targeted metabolomics.

Aspergillus 6 Piece Outdoor Sectional tubingensis is an important pathogen of economically important crops.Different biotic stresses strongly influence the balance of metabolites in plants.The aim of this study was to understand the function and response of resistance associated metabolites which, in turn are involved in many secondary metabolomics

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Polydopamine-modified chitin conduits with sustained release of bioactive peptides enhance peripheral nerve regeneration in rats

[INLINE:1] The introduction of neurotrophic factors into injured peripheral nerve sites is beneficial to peripheral nerve regeneration.However, neurotrophic factors are rapidly degraded in vivo and obstruct axonal regeneration when used at a supraphysiological dose, which limits their clinical benefits.Bioactive mimetic peptides have been developed

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