Objective: The main objective of this study was to investigate the explicit memory bias in the people with high BAS/BIS sensitivity in the different manipulated mood states.  Methods: By using purposive sampling method, seventy-four participants (undergraduate students) were selected based on z-scores of 480 using the Carver and White’s BAS/BIS scale. They were distributed as: 24 wi...

We discuss our ongoing work with an agent-based password simulation which models how site-enforced password requirements affect aggregate security when people interact with multiple authentication systems. We model two password memorization techniques: passphrase generation and spaced repetition. Our simulation suggests system-generated passphrases lead to lower aggregate security across servic...

The zero input future behaviour of a dynamical system is determined by its initial state or initial function. For nontrivial regulatory systems involving adoption, learning, specialization, differentiation that corresponds to the memorization of initial information. In this work, we studied neutrally stable systems involving delays, under aspect of memorization. In particular we showed that tho...

Two experiments were conducted to investigate the existence of long-term, detailed visual memory and whether this memory can be acquired incidentally. In both experiments, participants performed an intentional (Memorization) and an incidental (Visual Search) learning task while viewing photographs of real-world scenes. A memory test for previously viewed objects from both tasks then followed. P...

rhetorical figures, which are frequently applied in advertisements, can add literary flavor to the texts, gratify audiences’ aesthetic needs, and deepen their impression. in advertisement translation, it is very common that the rhetorical figures applied in the original text are replaced with new ones in the translation. this research focuses on rhetorical figures’ function of enhancing audienc...

We have created a radial basis function network that allocates a new computational unit whenever an unusual pattern is presented to the network. The network learns by allocating new units and adjusting the parameters of existing units. If the network performs poorly on a presented pattern, then a new unit is allocated which memorizes the response to the presented pattern. If the network perform...

We propose an approach to address two undesired properties of unsupervised GANs. First, since GANs use only a continuous latent distribution to embed multiple classes or clusters of a dataset, GANs often do not correctly handle the structural discontinuity between disparate classes in a latent space. Second, discriminators of GANs easily forget about past generated samples by generators, incurr...