Statistical learning mechanisms play an important role in theories of language acquisition and processing. Recurrent neural network models have provided important insights into how these mechanisms might operate. We examined whether such networks capture two key findings in human statistical learning. In Simulation 1, a simple recurrent network (SRN) performed much like human learners: it was s...

micropapillary variant of urothelial carcinoma (uc) of the bladder is an aggressive tumour, comprising 0.6-6% of all uc. it generally presents with high-grade and stage, and has been reported as having a worse prognosis when compared to traditional uc. we report the case of a 58-year-old man who presented with macroscopic haematuria. the patient was diagnosed with high-grade urothelial carcinom...

Ahvaz can be regarded as one of the most polluted cities in the world in terms of air pollution. Successive years of drought and weather conditions in recent years have resulted in particulate matter (PM10) concentration in Ahvaz. In this study, using probability distribution techniques, an appropriate threshold to identify the PM10 maximum extreme concentrations (MEC) has been detected. Based ...

Recent data have been considered as evidence for a role of phonological constraints in speech segmentation processes. A distributional analysis of consonant sequences in the French lexicon shows that these results may be accounted for by lexical competition or by transitional probability models in which no claim is made about the usefulness of phonology in speech perception. Two word-spotting e...

Numerous studies over the past decade support the claim that infants are equipped with powerful statistical language learning mechanisms. The primary evidence for statistical language learning in word segmentation comes from studies using artificial languages, continuous streams of synthesized syllables that are highly simplified relative to real speech. To what extent can these conclusions be ...

Developmental research indicates that infants use low-level statistical regularities, or phonotactics, to segment words from continuous speech. In this paper, we present a segmentation framework that enables the direct comparison of different phonotactic models for segmentation. We compare a model using phoneme transitional probabilities, which have been widely used in computational models, to ...

The effect of inlet conditions on the mixing of a passive scalar was investigated in a planar shear layer with inlet boundary layers that were laminar, tripped and naturally turbulent–transitional. Planar laser-induced fluorescence measurements of acetone were used to directly evaluate the shear layer structure, and were processed to determine probability density functions ~PDFs! of the mixture...

In this paper, we discovered that RC4 can generate colliding key pairs with various hamming distances, other than those found by Matsui (with hamming distance one), and by Chen and Miyaji (with hamming distance three). We formalized RC4 colliding key pairs into two large patterns, namely, Transitional pattern and Self-Absorbing pattern, according to the behavior during KSA. The colliding key pa...

Predictive keyboards are software keyboards that, to conserve screen real estate, display a subset of the full set of alphabetic keys at any one time, predicting the letters to display on the basis of tables of letters’ transitional probabilities. Using different types of test texts (names, words, random strings), we evaluated the influence of various manipulations on the efficiency of letter s...