Investigation of the Effect of Second-Generation Virtual Reality Interventions on Hot and Cold Executive Functions in Children with Attention-Deficit/Hyperactivity Disorder: Single-Blind Randomized Controlled Study
Bibliographic record
Abstract
Objective: The aim of this study was to examine the effects of the second-generation virtual reality intervention (SG-VRI) on the hot and cold executive functions (EFs) of children with attention-deficit/hyperactivity disorder (ADHD). Methods: Seventy children were included in the study and randomly divided into control ( n = 35) and intervention ( n = 35) groups. Stroop TBAG Form, Trail Making Test, and Childhood Executive Functioning Inventory were administered to the participants before SG-VRI. SG-VRI was applied to the intervention group as two sessions per week for 8 weeks. During this period, the control group did not receive any intervention. Results: At the end of these 8 weeks, assessment tests were administered to both groups again. The final results showed that the SG-VRI was effective in improving hot and cold EF skills of children with ADHD ( P < 0.05). Conclusion: We believe that the use of virtual reality interventions may be effective in the cognitive rehabilitation processes of children with ADHD.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".