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Abstract
In the process of learning and teaching the second language, errors are the inevitable part. According to the importance of this topic, this study attempts to investigate the errors of Arabic native speakers learning Persian based on the four morpheme model. Morphemes are classified into two groups of early systematic morphemes and late systematic morphemes in the frame of four morpheme model. The data have been collected  of 50 Arabic native speakers learning Persian in Imam Khomeini international university. it was found that Arabic native speakers learning Persian  have more errors in utilization of late systematic morphemes (for instance the sign of” را than early systematic morphemes and they will learn it  later. Their writing errors have been investigated on the basis of three inter lingual, interalingual, and ambiguous sources. After the analysis based on the origin, it has been determined that most of the errors of Arabic native speakers learning Persian are interalingual. By comparing the data of this study with previous studies, it was found that the arrangement pattern of learning morpheme is like mediator additional sign “ی”, the sign of “را”, extra letters, verb, plural morpheme.
 

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Goal: This study aims to develop a language-based skill test revolving around four main language skills, with principals and basics of language test development in mind intended to evaluate Persian language proficiency of non-Iranian students (In terms of language level). One of the main goals of this study is to develop a Persian language skill (proficiency) test. The purpose of language proficiency test is to measure one's overall ability to utilize the desired language without having to undergo specific training courses. So the content of a language proficiency test is not based on the content or purpose of the language courses. Also in this study, measures are foreseen to evaluate the validity and reliability of the designed test in order to obtain the Credibility of the standardized test.
Research Question:
The questions raised in this study are as follows:
•What are characteristics of designed tests in terms of analysis of test making procedures?
•To what extent does the test designed conform to the standard criteria?
Research hypothesis:
This test possesses the following characteristics in terms of analysis of test making procedures:
This test incorporates the necessary efficiency
This test is reliable.
This test is valid.
This test is applicable and practical.
This test is designed according to standardized criteria.
Research method:
In this research a descriptive-analytical method is firstly used to study previous researches, and to select a theoretical framework in order to present the theoretical concepts and basics; to construct the criterion test and standardize it the “agreement-oriented scaling method” was used, and to determine the validity of the proposed test, the “field method” was used. The statistical population of this study is the learners of Persian Language Learning Centre of Imam Khomeini International University of Qazvin. The total population of this statistical population is 200 people. The sample size of this study will be 130 members of this statistical population who have been learning Persian language for at least 2 months and a maximum of 1 year. Their mean age is 38-38 years. The sampling method utilized is cluster random sampling.
Conclusion:
The current study has presented the Persian language proficiency test based on the multidimensional concept of language derived from Stern theory. Since it was found that the average difficulty coefficient of reading questions was appropriate and optimal compared to the criteria of test designing, It can be claimed that the designed test were in accordance with the test designing criteria. Difficulty coefficient of listening comprehension questions were assessed easy, which after flaw scrutinizing was found that it was influenced by the nationality of some of the testees and the duration of Persian language learning. Since 15 of the subjects were Tajik and 24 of them have been leaning Persian in Faculty of Foreign Languages of Beijing for 1 year, they possessed a high listening comprehension skill and this had an impact on the difficulty coefficient factor. Cronbach's alpha coefficient of the test was 0.7, indicating the reliability of the test. The content validity of the test was also evaluated well, based on the judgment of the Persian language teachers. After calculating Pearson's correlation coefficient, structural validity between reading and listening skills was also evaluated well. The designed test can be used for placement since it also possesses the needed efficiency, it can be used to for placement of subjects and determine the base level of language learner, thus informing the Persian language learners of their own skill and making Professors cognizant of Students' Linguistic Status. Another attribute of a good test is its applicability and practicality, which the designed the test is also easy to conduct, easy to score and easy to interpret and apply. Finally, in response to the research question, it can be concluded that the designed test possesses the test designing criteria and features, and has been designed in accordance with standard criteria.

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The aim of this study was to determine the kinetics, effective moisture diffusivity, activation energy, specific energy consumption, and also predict the moisture content of white mulberry during the drying process with microwave-hot air dryer using mathematical models, Artificial Neural Networks (ANN) and Neuro-Fuzzy Inference System (ANFIS). Drying process was accomplished in three temperature levels (40, 55, and 70°C), three inlet air velocity levels (0.5, 1 and 1.5 m/s) and three microwave power levels (270, 450 and 630 W). To estimate the moisture ratio of white mulberry, 10 mathematical models, ANN and ANFIS were used to fit the experimental data of thin-layer drying. The results showed, the maximum and minimum effective moisture diffusivity during drying was calculated 3.56×10-9 and 3.86×10-10 m2/s, respectively. Also, the minimum and maximum effective moisture diffusivity during drying was achieved 48.54 and 1380.88 Mj/kg, respectively. Among the mathematical models under study, the Page model was the best model for describing the behavior of the thin layer of white mulberry drying. The mean square error (MSE) values for the mathematical models, ANN, and ANFIS were 0.00059, 0.0052 and 0.0044, respectively. Therefore, the ANFIS model with the highest Correlation Coefficient (R2=0.99995), the least percentage of mean relative error (ε=1.84) and mean square error (MSE=0.0044) were used to evaluate the moisture ratio in comparison with other methods implemented in this research Selected as the best model

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The goal of this study was to predict the moisture content of paddy using machine vision and artificial neural networks (ANNs). The grains were dried as thin layer with air temperatures of 30, 40, 50, 60, 70, and 80°C and air velocities of 0.54, 1.18, 1.56, 2.48 and 3.27 ms^-1. Kinetics of L*a*b* were measured. The air temperature, air velocity, and L*a*b* values were used as ANN inputs. The results showed that with increase in drying time, L* decreased, but a* and b* increased. The effect of air temperature and air velocity on the L*a*b* values were significant (P< 0.01) and not significant (P> 0.05), respectively. Changing of color values at 80°C was more than other temperatures. The optimized ANN topology was found as 5-7-1 with Logsig transfer function in hidden layer and Tansig in output layer. Mean square error, coefficient of determination, and mean absolute error of the optimized ANN were 0.001, 0.9630, and 0.031, respectively. 

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