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ELEMENTAL STATUS OF ADULT NON-INDIGENOUS POPULATION OF KHANTY-MANSI AUTONOMOUS REGION

2019· article· en· W2979639310 on OpenAlex
T Ya Korchina, В.И. Корчин, A.S. Sukhareva, Ol’ga Aleksandrovna Safarova, Kristina Aleksandrovna Cherepanova, Aleksandr Borisovich Bogdanovich, Mamed Ifrat-ogly Sharifov, S. S. Nekhoroshikh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEkologiya Cheloveka (Human Ecology) · 2019
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)IndigenousDemographyPopulationMedicineGeographyBiologyArchaeologySociology

Abstract

fetched live from OpenAlex

The aim of the work is to study the elemental status of adult non-indigenous residents of the Khanty-Mansi Autonomous Okrug. Methods. The elemental composition of the hair was examined in 1 211 adult non-indigenous inhabitants of the Khanty-Mansi Autonomous Okrug: 348 (28.7 %) men and 863 (71.3 %) women aged 18 to 60 years. In the hairs of all examined individuals, the concentration of 25 chemical elements was determined by a combination of ICP- AES and MS-ICP methods. The results obtained were compared with reference values for the corresponding age. Results. In both groups, most of the average values of the concentration of chemical elements in the hair were in the range of physiologically optimal values. Mn concentration exceeded the upper limit in men by 1.5 times and in women by 1.7 times, Mg in women by 1.4 times and Hg in men by 1.4 times. A quarter of men and a fifth of women had Ca deficiency; in 26.4 % of men and 23.7 % of women - I. Mg excess was detected in 38.8 % of men and almost half of women; Mn excess - in half of men and 63.6 % of women. A quarter of the population of Khanty-Mansi Autonomous Okrug has I deficiency; a quarter of men and more than 40 % of women have Se deficiency. Zn excess in the hair was detected in 44.3 % of men and 34.5 % of women, and Hg in a quarter of men and 10 % of women. Conclusions. The relatively favorable picture of the elemental status of Khanty-Mansi Autonomous Okrug residents indicates the absence of serious environmental problems and reflects the high level of consumption and, probably, the availability of high quality medical services. Among women of childbearing age, the need to reduce the nutritional load of Hg should be promoted in order to reduce the risk of negative effects on fetal development during pregnancy.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.294
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it