many textbooks include semantically related words and sometimes teachers add synonyms, antonyms, etc. to the words in order to present new vocabulary items without questioning the possible effects. this study sought to investigate the effect of teaching vocabulary through synonym, semantically unrelated, and hyponym sets based on higa’s (1963) proposed continuum. a total of 120 iranian intermed...

This paper aims to present a review of neural networks used in medical image processing. We classify neural networks by its processing goals and the nature of medical images. Main contributions, advantages, and drawbacks of the methods are mentioned in the paper. Problematic issues of neural network application for medical image processing and an outlook for the future research are also discuss...

Multiphoton ionization provides a clear window into the nature of electron correlations in helium atom. In present study, final state energy range extends up to region near $N=2$ and $N=3$ thresholds, where two-photon proceeds via continuum intermediate states above lowest threshold. Our calculations are performed using multichannel quantum defect theory (MQDT) streamlined R-matrix method. The ...

Steganography is a technique used to disguise the existence of secret communication. It in many fields solve information security problems. embed data carrier image and obtain new that can't actually be distinguished from original image. This paper proposes steganography method based on least significant bit (LSB) replacement integer wavelet transform IWT through lifting scheme achieve high qua...

introduction: the aim of this study was to investigate the presence and distribution of cell surface terminal sugars in developing cartilage of the primordial vertebrae in rat embryo. material and methods: fifty female and 25 male wistar rats were chosenrandomly. after adaptation, mating was done. vaginal plug observationwas performed on o-day of gestation. specimens were collected from 9-18 da...

In this note, we compare two approaches for handling risk-variability features arising in discrete-time Markov decision processes: models with exponential utility functions and mean variance optimality models. Computational approaches for finding optimal decision with respect to the optimality criteria mentioned above are presented and analytical results showing connections between the above op...

This paper describes an emotion-based approach to acquire sentiment similarity of word pairs with respect to their senses. Sentiment similarity indicates the similarity between two words from their underlying sentiments. Our approach is built on a model which maps from senses of words to vectors of twelve basic emotions. The emotional vectors are used to measure the sentiment similarity of word...