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ABSTRACT This study introduces the Paradox of Escapism, exploring how the act of escaping reality can evolve from a short‐term avoidance strategy to a mechanism for self‐regulation and enhanced life satisfaction. Employing five rigorous, multimethod investigations, including qualitative interviews and sentiment analysis (Study 1), Structural Equation ...
Thamiris Magalhães de Sousa +3 more
wiley +1 more source
Examination of hydrological variations and their effect on water shortage trends and water-energy production using convolutional neural network and ISSA. [PDF]
Liu X, Xuan G, Safarzadeh J.
europepmc +1 more source
Application of virtual overlapping technology for the selection of appropriate metal plate dimensions in rib fracture surgery. [PDF]
Song S, Yang J, Zhang C.
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Adversarial feature learning for semantic communication in human 3D reconstruction. [PDF]
Liu S, Zou J, Liu Z, Dong M, Wan Z.
europepmc +1 more source
Exploring the Impact of Additive Shortcuts in Neural Networks via Information Bottleneck-like Dynamics: From ResNet to Transformer. [PDF]
Lyu Z, Rodrigues MRD.
europepmc +1 more source
Organic Electrochemical Transistors for Neuromorphic Devices and Applications. [PDF]
Xiang K, Song J, Liu H, Chen J, Yan F.
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Input-to-state stability (ISS) analysis for dynamic neural networks
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1999Summary: A novel approach to assess the stability of dynamic neural networks is presented. Using a Lyapunov function, we determine conditions to guarantee input-to-state stability which also ensures global asymptotic stability. The applicability of these conditions is illustrated by two examples.
Edgar N. Sánchez, José P. Pérez
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