An analytical study on behavioral-cerebral system activities and alexithymia among drug abused and none drug abused people
Bibliographic record
Abstract
Introduction: One of the common problems in contemporary world is addiction and its side effects. Dependency and addiction due to drug consumption is a chronic disorder which is followed by cultural, psychological, social, and spiritual effects. The aim of the present research was comparing behavioral-cerebral systems with alexithymia among addictive and normal people. Materials and methods: The statistical population was all referred people to therapy centers of addiction in Ilam among which 40 cases were selected by accessible methods and also 40 cases of normal people without addiction background were selected based on their age, gender, education level, and married conditions by homogeneity procedure. Research method was comparative. Questionnaire of characterization by Wilson and questionnaire of Alexithymia by Toronto were used as research instrument to collect the data. Also, SPSS software and multi variable analysis were used to analysis the collected data. Results: The findings showed that activated systems of behavior and fight-flight in people with addiction background was more than normal people, while behavioral deterrent system activities in normal people was more than people with addiction background (P<0.001). Also the mean scores of Alexithymia in people with addiction background was significantly more than that of normal people (P>0.001). Conclusion: So, by identifying people that their behavioral activating system is more active than that of normal ones the risky group can be determined and then they can be benefited from behavioral and educational programs to be prevented from the likelihood of addiction in these groups. Also, cultivating capabilities of control and emotion regulation helps to prevent addiction and also helps people to adopt with changes and stress factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".