j. mohammadzadeh

Over recent decades, there has been a growing interest in semi-supervised clustering. Compared to the supervised or unsupervised clustering methods for solving different real-life problems, reviewed articles show that semi-supervised clustering methods are more powerful, and even a small amount of supervised information can significantly improve the results of unsupervised methods. One popular method of incorporating partial supervised information is through labeled data. In this study, we propose a semi-supervised clustering algorithm called ConvexClust. The proposed method improves data clustering using a geometric view borrowed from the Lune concept in the connectivity index and 10% of labeled data. Clustering starts with the use of labeled data and the formation of a convex hull. It continues over the labeling of non-labeled data and the updating of the convex hull in an iterative process. Evaluations of three UCI datasets and sixteen artificial datasets show that the proposed method outperforms the other semi-supervised and traditional clustering techniques.

Barley were ranked fourth among the cereals, and due to their beneficial and nutritious properties their consumption is increasing in most countries of the world. In order to replace the new and risk-free methods to extend the shelf life of cereals (instead of chemical pesticides), the use of ozone gas. in this study the effect of ozone gas with two variables of ozone concentration (25, 50 and 75 ppm) on ozonation time (1, 3, 5 and 7 days) in barley (Reyhaneh cultivar) compared to the control sample by determining storage characteristics of barley in terms of control of fungal, insects growth, germination power and changes in grains quality characteristics. The results showed that increased ozone concentration and ozonation time increased control of fungal growth, spread of fungal toxins (aflatoxins) and increased effect of ozone on storage pests grains. The mean comparison test showed that this increase was not significant at concentrations greater than 50 ppm and 3 days ozonation time in both grains (P<0.05). Also, the use of 75 ppm ozone at 1, 3, 5 and 7 days caused significant oxidative changes compared to the control in fat (acidity and peroxide) and starch (carboxyl index) barley. The different ozonation conditions up to 50 ppm concentration and all time had no significant effect on protein content in barley compared to control (P<0.05). The results of seed germination evaluation showed no significant decrease in seed germination at 50 ppm concentration up to 5 days of ozonation compared to control and ozonation at 75 ppm and at 7 days compared to the control sample reduced germination to 31.5%. Therefore, based on the results, it was suggested to use ozone concentration of 50 ppm for 3 days of ozonation for storage of barley grains.

Game theory uses mathematical models to analyze the methods of cooperation or competition of intelligent beings. Game theory attempts to model the mathematical behavior of strategic interaction among rational decision-makers. The ultimate goal of this knowledge is to find the optimal strategy for the players. One of the newest ideas in the application of Game theory in the field of artificial intelligence and machine learning is Generative Adversarial Networks. GANs consist of two parts, use Game theory and compete with each other, making it possible for unsupervised or semi-supervised learning. In addition to generating data, these networks are also used to identify malicious software and software security, machine translation, and natural language processing, and to build a three-dimensional model of an image. However, GANs have a very long training time due to the high number of epochs and input parameters. In this paper, in order to solve the problem of long training time of these networks in the classification of imbalanced high-dimensional datasets, a solution is presented that first, GAN-based oversampling on minority classes. Then in order to improve the efficiency of the designed GAN, the mentioned network is parallelized and ensemble classification is done. The different scenarios performed on the classification of diabetic retinopathy dataset by the proposed method.The results showed the classification accuracy of 87%, the training time is reduced by 74%, which shows higher accuracy than the latest scientific advances.

Frustration and emotion dysregulation have been among the most factors contributing to suicidal tendencies faced currently by societies.  Therefore, developing a training program to decrease such tendencies seems necessary. This study aimed to investigate the effectiveness of an integrative intervention in decreasing frustration and emotion dysregulation as determinants of suicidal tendencies among adolescents and young people.

The present study is an experimental trial with a pretest-posttest design and control group and was conducted on 40 adolescents and young persons aged 15-25 who were selected through the random cluster sampling in 2018-19 in Ilam. All of the participants completed the Suicide Attitude Questionnaire, Children's Health Locus of Control Scale(CHLC), and Cognitive Emotion Regulation Questionnaire (CERQ-P). The experimental group received an integrative intervention, while the control group received no intervention. Upon the completion of the intervention and collecting the data, they were analyzed using multivariate covariance analysis (MANCOVA) and by SPSSV22 software.

The results of multivariate analysis of variance showed that there is significant difference in the scores of the two groups (Wilks' lambda=0.251, F=5.664, p=0.001) in terms of despair (F=6.843, p=0.013), self-blame (F=10.412, P=0.003), rumination (F=5.016, p=0.031), catastrophizing (F=6.331, p=0.016), blaming others (F=14.132, p=0.001), positive re-focus (F=9.126, p=0.005), planning re-focus (F=10.275, p=0.003), and positive re- evaluation (F=6.024, p=0.019). However, there was no significant intergroup difference in terms of acceptance (F=0.830, p=0.368) and perspective taking (F=0.121, p=0.730).

Organizing training programs based on an integrative approach has been effective in decreasing despair and emotion dysfunction among the adolescents and young people with suicidal tendencies. Conducting training programssuch as problem- solving, emotional, regulation, mindfulness, etc. for psychologists, parents, adolescents, health professionals, and social pathologists can be effective in decreasing and preventing suicide among adolescents.

Recent studies indicate the importance of early childhood in future development of the child. The attachment between mother and child is the beginning of development in many cognitive and social areas. The threat of this mutual relationship negatively impacts the child’s ability for communication with outside world. The aim of this research was to determine the effect of family-centered intervention based on Quinn Program on preschool children attachment.

The research method in this study was quasi-experimental with pretest-posttest follow-up design and control group. The study population consisted of all mothers of 5- year- old children in kindergartens of district 3 of Tehran between 2017-2018. Among them, 80 mothers were selected by cluster sampling method and randomly assigned into two groups of 40 individuals. The research instrument was child attachment security questionnaire of attachment Q-set (1987). The experimental group was subjected to 17 sessions of 90-minute training with Quinn program. Data were analyzed using covariance analysis with repeated measures.

The research showed that before the intervention, there was no significant difference in average attachment scores between two experimental and control groups, while after the intervention, there was a significant difference between the mean of attachment scores in two groups (p<0.01).

This intervention had a significant effect on the attachment of preschool children, so it is suggested that counselors and therapists to use this family-centered method based on Quinn program in order to improve the children attachment.

there is idea in society that some people have more accidents because they are more accident vulnerable. Usually، characteristics related to accident vulnerability are surveyed in researches’ backgrounds. But at this research influence of a human factor، attention in occurrence of dangerous behaviors، is studied.

statistical population was 140 drivers of a transportation company، selected based on large number of accidents. Participants attended in two steps of tests (providing matters unrelated to participant’s ear and their repetition by him in the first step، and three-digit report by participant in the second step which at least one digit from unrelated message is included in it).

research tools were 48 different pair messages including digits and words unrelated to each other، sent to both ears of participants simultaneously. Tools used from laboratory psychology for measurement of attention showed relation with accidents’ archived data (p<0. 05). Relation rate for deletion error and interference error in the first step was respectively 0. 31 and 0. 34 and attention deviation error in the second step was 0. 36 (p<0. 01). Also، second step error could predict accident vulnerability.

based on this research results، characteristics and attention have critical role in creation of accidents. Second، nature of errors in each steps of attention differs.