genetic diversity of 22 morphotypes of diploid wheat (t. urartu) was investigated using morphological traits and rapd markers. morphological characterizations were carried out based on 17 traits and statistical parameters of dispersion and diversity of agronomic traits were calculated. statistical analysis showed significant differences for all characters among morphotypes. dendrograms were gen...

Aims: The morphology of the condyle varies according to the race of the population in different places. Moreover, the identification of morphologies can be effective in diagnosing the pathogenesis and type of treatment of patients. Therefore, in this study, the researchers examine condyl morphology images using digital panoramic imaging. Materials and methods: This descriptive-analytical stud...

objective: morphological changes of ca1 neurons in rat hippocampus after transient and permanent focal cerebral ischemia were studied to clarify the nature of postischemic cell death in the subfield. materials and methods: male adult rats were divided into 3 groups: control (shamoperated), transient ischemic group (30 minutes of mcao followed by 48 hours of reperfusion), and permanent ischemic ...

We propose a novel method for learning morphological paradigms that are structured within a hierarchy. The hierarchical structuring of paradigms groups morphologically similar words close to each other in a tree structure. This allows detecting morphological similarities easily leading to improved morphological segmentation. Our evaluation using (Kurimo et al., 2011a; Kurimo et al., 2011b) data...

In pancreatic survey, quantitative and morphological characteristics could be fundamental variables for the evaluation of some structures. The aim of this study was the application of stereological methods for estimation of quantitative parameters and morphological evaluation of the pancreas in chickens. Ten adult male and ten adult female native chickens were used in this study. Routine tissue...

This paper presents a model for Arabic morphological disambiguation based on Recurrent Neural Networks (RNN). We train Long Short-Term Memory (LSTM) cells in several configurations and embedding levels to model the various morphological features. Our experiments show that these models outperform state-of-theart systems without explicit use of feature engineering. However, adding learning featur...