Nervous behavior and mental health changes in a case exposed to 192Ir source at"5.7"accident in Nanjing
Bibliographic record
Abstract
Objective To explore the changes in nervous behavior and mental health caused by radiation damage, and to provide clinical data and experience for the similar cases, based on the treatment process of the patient exposed to Iridium-192 source accident in Nanjing, Methods The changes in the mental status of the patient was observed closely in a manner ofone to one, orseveral to one, gave psychological intervention and drug treatment. The psychological evaluation for the patient was carried out by using Cattell 16 personality factors test (16PF), self-rating depression scale (SDS) and self-rating anxiety scale(SAS). The cognitive function assessment was carried out by using mini-mental state scale (MMSE) and Montreal cognitive assessment (MoCA) Beijing version. Results The patient showed tension, fear, upset, etc., in hospital, and psychological evaluation results showed that he had the emotions such as anxiety, depression and worry. The mental health was improved after a positive psychological counseling and treatment by using sertraline and olanzapine. Cognitive function assessment results showed that he had moderate-severe cognitive dysfunction for a time, which gradually returned to normal with the improvement of general condition. Conclusions Attention should be paid to the synchronization of physical therapy and psychological treatment in the process of clinical treatment of patients with radiation injury. Improvement to psychological problems is possible using reasonable intervention and treatment, and the cause of neurobehavioral changes still need further research. Key words: 192Ir; Acute radiation injury; Psychological assessment; Psychological intervention; Cognitive function assessment
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".