World strategy on tobacco control and mortality from cardiovascular diseases in Ukraine
Bibliographic record
Abstract
1. Thesis, тезисы In English: [Ognev, V.A., Mishchenko, M.M., Mishchenko, A.N., Shevchenko, A.S. (2020) World strategy on tobacco control and mortality from cardiovascular diseases in Ukraine. Modern science: problems and innovations: Abstracts of the 2nd International scientific and practical conference (Stockholm, Sweden, 2020, May 03-05). SSPG Publish (ISBN 978-91-87224-07-2). Pp. 102-108. https://doi.org/10.5281/zenodo.3787953] Since 2003, Ukraine has been participating in the WHO Framework Convention on Tobacco Control and has achieved a slight decrease in the number of smokers according to state medical statistics. The decrease in mortality from cerebral stroke and coronary heart disease over the past 10 years is associated with this fact. Keywords: tobacco epidemic, cardiovascular disease, cerebral stroke, coronary heart disease, mortality, WHO Framework Convention on Tobacco Control, epidemiology. На русском: [Огнев, В.А., Мищенко, М.М., Мищенко, А.Н., Шевченко, А.С. (2020) Мировая стратегия по борьбе против табака и смертность от сердечно-сосудистых заболеваний в Украине. Современная наука: проблемы и инновации: Тезисы докладов 2-й Международной научно-практической конференции (Стокгольм, Швеция, 03-05 мая 2020 года). Издательство SSPG (ISBN 978-91-87224-07-2). C. 102-108. https://doi.org/10.5281/zenodo.3787953 (На английском)] C 2003 года Украина участвует в Рамочной конвенции ВОЗ по борьбе против табака и добилась небольшого снижения количества курильщиков по данным государственной медицинской статистикой. Снижение смертности от церебрального инсульта и ишемической болезни сердца за последние 10 лет связаны с этим фактом. Ключевые слова: эпидемия табакокурения, сердечно-сосудистые заболевания, церебральный инсульт, ишемическая болезнь сердца, смертность, Рамочная конвенция ВОЗ по борьбе против табака, эпидемиология. 2. Certificates of conference participants Interconnected publications, взаимосвязанные публикации 03 [Shevchenko, A.S., Shevchenko, V.V., Guzenko, E.V., et al. (2000) Smoking – the factor of reducing the mental capacity of students. Materials of the scientific and practical conference of young scientists of the Kharkov Medical Academy of Postgraduate Education "New technologies in medicine", p. 61. https://doi.org/10.5281/zenodo.2426041 (In Ukr.)] [Шевченко О.С., Шевченко В.В., Гузенко К.В., Савенко І.О., Гончарова Л.В. Паління – фактор зниження розумової працездатності студентів // Матеріали науково-практичної конференції молодих вчених Харківської медичної академії післядипломної освіти "Нові технології в медицині". - Україна, Харків: ХМАПО, 2000. - С. 61. https://doi.org/10.5281/zenodo.2426041] 10 [Ognev, V.A., Mishchenko, M.M., Mishchenko, A.N., Shevchenko, A.S. (2020) Study of risk factors of cerebral strokes according to the data of regional registers and national services of medical statistics. Perspectives of world science and education: Abstracts of the 8th International scientific and practical conference (Osaka, Japan, 2020, April 22-24). CPN Publishing Group (ISBN 978-4-9783419-8-3). Pp. 122-128. https://doi.org/10.5281/zenodo.3766421] 11 [Mishchenko, M.M., Shevchenko, A.S., Mishchenko, A.N. (2020) Risk factors of ishemic stroke and their interconnection. Dynamics of the development of world science: Abstracts of the 8th International scientific and practical conference (Vancouver, Canada, 2020, April 15-17). Publishing House “ACCENT” (ISBN 978-1-4879-3791-1). Pp. 124-129. https://doi.org/10.5281/zenodo.3755806] 13 [Ognev, V.A., Mishchenko, M.M., Mishchenko, A.N., Shevchenko, A.S. (2020) About value and study of the various risk factors for the development of a cerebral stroke. Topical issues of the development of modern science: Abstracts of the 8th International scientific and practical conference (Sofia, Bulgaria, 2020, April 08-10). Publishing House “ACCENT” (ISBN 978-619-93537-5-2). Pp. 62-69. https://doi.org/10.5281/zenodo.3747558] 14 [Mishchenko, M.M., Shevchenko, A.S., Mishchenko, A.N., (2020) About the influence of health care financing, medical personnel’s qualification and staffing to provide medical care for a patients with a cerebral stroke in Ukraine. Innovative development of science and education: Abstracts of the 2nd International scientific and practical conference (Athens, Greece, 2020, April 26-28). ISGT Publishing House (ISBN 978-618-04-3761-4). Pp. 73-78. https://doi.org/10.5281/zenodo.3774416]
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 teacher head, 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".