Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network
Jia Wang,
Zijie Zhang,
Haiji Luo,
Yinghao Liu,
Wei Chen,
Gang Wei
Issue:
Volume 8, Issue 6, November 2019
Pages:
112-120
Received:
26 October 2019
Accepted:
18 November 2019
Published:
26 November 2019
Abstract: With the continuous advancement of information construction in colleges and universities, a large number of student data have been accumulated and precipitated in the campus center database of colleges and universities. On the basis of social constructivist psychology, Maslow and Mittelmann's mental health standards and related research results of psychological crisis early warning, three first-level indicators and 15 second-level indicators of college student’s psychological crisis were established. The campus data of 1504 college students were collected on one data center of a college, and the weight of each indicator was determined on the basis of correlation analysis of each indicator and psychological status indicators through SPSS21.0 and the expert opinion. The early warning model of college students’ psychological crisis was basically constructed. With experimental simulation of 250 sets of real data, the early warning model based on the genetic BP Neural network for its initial weight and threshold with MATLAB was improved. The results indicated that the indicator system of college student’s psychological crisis in this paper was effective and feasible, and the early warning model based on genetic BP neural network had high accuracy and certain application value.
Abstract: With the continuous advancement of information construction in colleges and universities, a large number of student data have been accumulated and precipitated in the campus center database of colleges and universities. On the basis of social constructivist psychology, Maslow and Mittelmann's mental health standards and related research results of ...
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Alexithymia, Depression, Trait-anxiety and Their Relation to Self-reported Retrospective Dream Experience
Ornella Montebarocci,
Sara Giovagnoli
Issue:
Volume 8, Issue 6, November 2019
Pages:
121-132
Received:
14 November 2019
Accepted:
2 December 2019
Published:
7 December 2019
Abstract: The present research explored the relationship between alexithymia, self-reported depression and trait anxiety and dreaming experience in a non-clinical sample. Characteristics of the alexithymia trait, such as the deficit in the symbolic representation of emotions and the limited imaginative ability, can have an impact on the richness and quality of dream experience. Depression and trait anxiety are both reported to be related to alexithymia and dreaming. A group of 30 non-clinical subjects (20 females) participated in the study. Alexithymia was assessed with the Toronto Structured Interview for Alexithymia (TSIA), an observer-report instrument composed of 24 questions that assesses a general subjective level of alexithymia and 4 dimensions of alexithymia: Identifying emotional feelings (DIF), Describing emotional feelings (DDF), Imaginal Processes (IMP); and Externally oriented thinking (EOT). The subjective dreaming experience was assessed with the Mannheim Dream Questionnaire (MADRE), an instrument that was designed to elicit some form of dream history including dream recall frequency, use and correlates of dream, attitude towards dream and presence of different kinds of dreams experience, such as nightmares, lucid dreams, and déjà-vu. The BDI-2 and the STAI-Y2 were administered to evaluate negative affect. Two multivariate multiple regression analysis were carried on. Results showed that alexithymia was related to dream correlates and to attitude towards dream. Trait anxiety was found to be related to nightmares frequency and self-reported depression to déjà-vu event. In the future, it would be interesting to use a larger and more representative sample. The use of clinical population, such as nightmare sufferers or patients with sleep and/or mental disorders, could possibly disclosure further meaningful relationships among affect dysregulation, affect modulation and self-reported retrospective dream characteristics.
Abstract: The present research explored the relationship between alexithymia, self-reported depression and trait anxiety and dreaming experience in a non-clinical sample. Characteristics of the alexithymia trait, such as the deficit in the symbolic representation of emotions and the limited imaginative ability, can have an impact on the richness and quality ...
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