Showing 5 results for Cognition
Saied Moosavipour, Mahmmd Golzary,
Volume 13, Issue 5 (2-2011)
Abstract
Background: Quran views sleep as a divine sign with deep meaning and interpretation. The aim of this study was to investigate the content of dreams from the perspective of Quran and psychology, as an appropriate method for understanding human characteristics and presenting a proper treatment approach. Materials and Methods: The present study is a descriptive, content analysis one. First a collection of psychology and interpretation books on this issue were considered. Then 75 students at Arak University of Medical Sciences were asked to report their dreams on daily or weekly basis which totaled 5688 dreams over a 6.5 month period. The dreams were analyzed using content analysis method and descriptive statistics, including the number of dreams, age, mean, and frequency of the reported parameters. Results: Noticing the nature of dreams, the interpretation of their content and concepts is of significance to the understanding of human traits and provision of treatment methods. The content of the reported dreams were, respectively, indicative of a high percentage of ethnic (93.33%), university and professors (89.33%), family (88%), religious beliefs (86.66%), friends (86%), nightmares (66.66%) returning to the past (61.33%), lucid dreaming (42.7%), and neurosis (41.33%). Conclusion: In the view of commentators on divine verses and psychologists, the elements present in the content of dreams can be utilized in obtaining a better understanding of the unconscious stream of human mind, knowing more about human beings, and treating mental disorders. The difference between these two perspectives, religious and psychological, is in dreams known as "true dreams" which are emphasized in Quran and Islamic sources, while psychology has failed to recognize them.
Monir Shayesteh Far, Reza Mastery Farahani, Fateme Fadayi Fath Abadi, Mohsen Norouziyan, Amirhossein Memari,
Volume 18, Issue 1 (4-2015)
Abstract
Background: Head circumference (and its related morphologic factors such as head length and width) is one of the morphologic indices that people with autism spectrum disorders (ASD) have different developmental patterns in comparison to their peers. So the aim of this study is to assess head circumference indices in relation to cognitive factors in ASD children and adolescents.
Materials and Methods: In this cross-sectional study, the case group was consisted of 129 students with ASD aged 7-18 years old. The control group was consisted of 103 students with intellectual disability (ID) aged 7-18 years old. Head circumference, head length and width was measured by meter and caliper respectively. In addition, socio- cognitive factors questionnaire was responded by parents.
Results: Results showed that the head circumference, length and width of ASD group was significantly greater than ID group (p<0.001). Moreover, ASD group achieved lower score on SSIS questionnaire than ID group (p<0.001). Furthermore, results showed that in ASD group with increasing the size of head circumference the score on socio-cognitive abilites and skills decreased (p<0.05).
Conclusion: Generally, this study indicated that the developmental trajectory as well as the relation of anthropmetric indices of head circumference and socio-cognitive factors in children and adolescents with ASDs is different from ID population.
Seyede Faezeh Fazelian, Ali Mohammadzadeh, Homa Zarinkub, Alireza Akbarzadeh Baghban,
Volume 23, Issue 3 (8-2020)
Abstract
Background and Aim: Lip reading is extraction of speech data from the activity of the lower part of face, particularly jaws, lips, tongue, and teeth that is a natural skill in people with hearing loss. The main purpose of lip reading is to increase the independence of people with hearing loss. Looking at the speakers facial movements significantly increase the ability to understand the spoken words, particularly in the environments where noise is present. In fact this reflects the important role of visual signals. In current study we consider the effects of education on lip reading ability by planning and instructing a lip reading program in male subjects.
Methods & Materials: Sara lip reading test 1 and 2 were used for the assessment of lip reading skills and for studying the effects of lip reading training on recognition of speech. This intervention as a semi-experimental study, was conducted on 27 male students, selected by available sampling. For data analysis, statistical analysis of variance with repeated measurements and Mcnemar was used.
Ethical Considerations: This research with the code IR.SBMU.REC.1394.144 has been approved by the ethics committee of Shahid Beheshti University of Medical Sciences.
Results: There were significant differences between Sara lip reading test 1 scores in 2 positions (P=0.000).Lip reading test scores also showed significant differences in Sara lip reading test 2 in 2 positions (P=0.000). Also between the scores of Consonant-vowel, consonant-vowel syllables, in the position before teaching lip-reading and then ,was significant difference (P<0.05).
Conclusion: The findings of this study showed that instructing lip reading has a positive effect on lip-reading ability in people.
Ms Kobraa Mastery Farahani, Dr Soghra Akbari Chermahini,
Volume 25, Issue 5 (12-2022)
Abstract
Introduction: Investigating the psychological issues of patients with diabetes, especially in adolescence and youth, is particularly important. Therefore, this study aims to compare the health anxiety and response inhibition of people with type 1 diabetes with healthy people.
Methods: This research is a description of the causal and comparative types. Its statistical population consists of all boys and girls aged 14 to 24 years old with type 1 diabetes in Arak city who were referred to the treatment clinics of this city in 1400. From this population, 30 people were selected by purposive sampling, and 34 healthy teenagers participated in this study as a comparison group. The tools of this research included the health anxiety questionnaire (Salkoskis and Warwick, 2002) and the open-ended task, and multivariate analysis of variance was used to analyze the data.
Ethical Considerations: The present research has been registered with the code IR.ARAKU.REC.1401.015 in the Ethics Committee of Arak University.
Results: The present study's findings showed a significant difference between health anxiety and cognitive inhibition of adolescents with type 1 diabetes and healthy adolescents (P<0.05).
Conclusions: The results of this research show the higher level of health anxiety and poor performance of adolescents with type 1 diabetes in choosing the right answer and neglect the wrong answer, which indicates a weakness in their inhibition system. Considering the placement of these problems along with the psychological characteristics of adolescence, it is suggested to use suitable psychological treatment approaches and suitable cognitive rehabilitation interventions to solve or reduce these problems and increase the health of these patients.
Seyed Sadegh Hosseini, Mohammad Reza Yamaghani,
Volume 27, Issue 4 (10-2024)
Abstract
Introduction: Nowadays, the use of artificial intelligence and machine learning has impacted all fields of study. Utilizing these methods for identifying individuals' emotions through integrating audio, text, and image data has shown higher accuracy than conventional methods, presenting various applications for psychologists and human-machine interaction. Identifying human emotions and individuals' reactions is crucial in psychology and psychotherapy. Emotional identification has traditionally been conducted individually and by analyzing facial expressions, speech patterns, or handwritten responses to stimuli and events. However, depending on the subject's conditions or the analyst's circumstances, this approach may lack the required accuracy. This paper aimed to achieve high-precision emotional recognition from audio, text, and image data using artificial intelligence and machine learning methods.
Methods: This research employs a correlation-based approach between emotions and input data, utilizing machine learning methods and regression analysis to predict a criterion variable based on multiple predictor variables (the emotional category as the criterion variable and the features, audio, image, and text variables as predictors). The statistical population of this study is the IEMOCAP dataset, and the data type of this research is a mixed quantitative-qualitative approach.
Results: The results indicated that combining audio, image, and text data for multi-modal emotional recognition significantly outperformed the recognition of emotions from each data alone, exhibiting a precision of 82.9% in the baseline dataset.
Conclusions: The results demonstrate a considerably acceptable precision in identifying human emotions through audio integration, text, and image data compared to individual data when using machine learning and artificial intelligence methods.
