On the management mechanism for AIDS prevention and control and patient care model
Bibliographic record
Abstract
Objective A comparison of the quality of life and present status of happiness between AIDS patients in Provinces A and B helps to analyze the impact of the prevention and control mechanism on choice of the AIDS patient care mode.Methods The quality of the life questionnaire designed by WHO for AIDS patients and the Subjective Well-being questionnaire from the Memorial University of Newfoundland were called into play to describe the quality of life and present subjective wellbeing of 93 and 57 AIDS patients respectively from Province A and Province B;these patients were interviewed to understand the systematic arrangements of AIDS control in the two provinces and their AIDS patient care models.Results Differences found in the scores of the total quality of life and subjective wellbeing between the two provinces are significant statistically (P＜0.05);differences found in the scores of respective dimensions of quality of life,except for social relations,are significant statistically (P＜0.05).Results of interview found that the prevention and control mechanism of Province A feature a combination of medical administration and disease control departments,management by level of city,county,township and village.The care mode is characteristic of that centering on village doctors.The patient care mechanism in Province B features sectionalized management,and its model is characteristic of that centering on local CDC aided by infectious disease hospitals.Conclusion Establishment of the AIDS prevention and control mechanism should take into account features of local resources,and different regions should provide care models to fit the needs of local AIDS patients. Key words: Acquired Immunodeficiency Syndrome; Quality of life; Wellheing; Maragement mechanism
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| 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 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".