Bibliographic record
Abstract
OBJECTIVE: This study aims at investigating the effect of dance on rehabilitation training after COVID-19. PATIENTS AND METHODS: In this study, a total of 112 patients with COVID-19 were recruited for rehabilitation training. Before enrollment, a neurologist conducted medical history inquiry, basic information collection, MMSE (MiniMental State Examination), MoCA (Montreal Cognitive Assessment) and MHIS (Mental Health Information Systems) assessment. In the end, 68 patients with COVID-19 who met the entry criteria and signed the informed consent were included in the training. 8 patients with greater exercise risk after the ECG exercise test were not included in the group. Therefore, 60 patients were finally included in the group. The improved BMCE (Basic Medicine Comprehensive Examination) protocol was used to evaluate the cardiac function and exercise adaptability of the patients. The 12 lead ECG and gas metabolism instrument were used to monitor the changes of ECG and gas metabolism, and the blood pressure was measured at the same time. The exercise intensity was evaluated by subjective fatigue degree. The patient stopped the exercise test and rested for 15 minutes under the following conditions: (1) complained of any discomfort or intolerable fatigue; (2) horizontal or oblique ST segment pressure in ECG not shorter than 3 mm; (3) moderate to severe angina pectoris or reduction of systolic blood pressure greater than 10 mmhg. The heart rate when stopping the test was the maximum heart rate of the patient. RESULTS: The average participation times of MCI patients in the aerobic dance group were 33.9 (IQR = 34, 36), 89.7% of MCI patients participated in 90% of aerobic dance training, and only 3.4% of MCI patients participated in less than 80% of aerobic dance courses. Compared with the control group, the 3-month change value of Wechsler's logical memory of MCI patients in the aerobic dance group was significantly improved (p < 0.01). The 3-month change value of digital connection test B score was significantly improved (mean value of difference between groups = -32. The treatment speed was significantly shortened at 6 months (P300 latency 6 months change value = -20 ms). CONCLUSIONS: The intensity and frequency of aerobic dance play a key role in the effect of cognitive improvement, requiring long-term persistence and ensuring the intensity and frequency of training. Second, the patient's processing speed (P300 latency) tends to gradually extend with the passage of time, and aerobic dance intervention helps shortening the P300 latency, suggesting that patients can delay the decline of their cognitive function through early aerobic dance intervention.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".