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Record W7160132535 · doi:10.5281/zenodo.14923413

Вплив застосування пінки для відновлення шкіри "SUN-EKT®" на процеси регенерації шкіри після косметологічних процедур та видалення новоутворень

2023· article· uk· W7160132535 on OpenAlexaboutno aff
Савоськіна, О.М. Орленко

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageuk
FieldAgricultural and Biological Sciences
TopicAnimal Diversity and Health Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCosmetologyRegeneration (biology)DermabrasionClinical PracticeSkin lesion

Abstract

fetched live from OpenAlex

Цитуйте українською у Ванкувер стилі: Савоськіна ВО, Орленко ОМ. Вплив застосування пінки для відновлення шкіри "SUN-EKT®" на процесирегенерації шкіри після косметологічних процедур та видалення новоутворень. Медицина сьогодні і завтра. 2023;92(3):62-9. https://doi.org/10.35339/msz.2023.92.3.sor Архівовано: https://doi.org/10.5281/zenodo.14923412 Резюме Дослідження було проведене з метою вивчення ефективності застосування пінки для відновлення шкіри "SUN-EKT®" у косметологічній практиці після видалення новоутворень, впливу хімічного пілінгу або подразнюючої дії косметологічних та апаратних процедур. Було обстежено 107 пацієнтів після видалення новоутворень та/або подразнюючих процедур, яких розділили на 3 групи: до І увійшло 38 пацієнтів, які використовували для відновлення шкіри "SUN-EKT®", до ІІ – 33 пацієнти, що використовували «Пантенол», до ІІІ – 36 пацієнтів, які використовували інші регенеруючі засоби або очікували самостійного загоєння пошкоджень. Були вивчені по порівняні показники гідратації рогового шару шкіри, 11-тибальна шкала відчуття болю, застосована дерматоскопія та шкірний аналізатор. За всіма показниками (тому числі за швидкістю зниження інтенсивності болю) процес загоєння проходив найкраще у І групі, що дозволяє рекомендувати "SUN-EKT®" для широкого використання. Ключові слова: рана, опіки, лазерна епіляція, загоєння, ін’єкційна та апаратна косметологія. Cite in English in Vancouver style: Savoskina V, Orlenko O. Effect of the use of foam for skin regeneration "SUN-EKT®" on the processes of skin regeneration after cosmetic procedures and removal of tumors. Medicine Today and Tomorrow. 2023;92(3):62-9. https://doi.org/10.35339/msz.2023.92.3.sor [in Ukrainian]. Archived: https://doi.org/10.5281/zenodo.14923412 Abstract The study was conducted to evaluate the effectiveness of foam for skin regeneration "SUN-EKT®" in cosmetology practice after removal of neoplasms, exposure to chemical peeling or the irritating effect of cosmetology and hardware procedures. 107 patients were examined after the removal of neoplasms and/or irritating procedures, who were divided into 3 groups: І included 38 patients who used "SUN-EKT®" for skin regeneration, ІІ – 33 patients who used "Panthenol", ІІІ – 36 patients who used other regenerative means or expected self-healing of injuries. The indicators of hydration of the stratum corneum, the 10-point scale of pain sensation (Numerical Rating Scale), applied dermatoscopy and skin analyzer were studied in comparison. In the І group, the intensity of pain was 5.9 points on the 1st day from the start of using "SUN-EKT®", 4.3 – on the 3rd day, 2.8 – on the 7th day. For comparison, in the II group this indicator was 6.8, 6.1 and 3.7; and in the III group – 7.7, 7.1 and 5.9 points in the corresponding terms. The average value of the "hydration of the stratum corneum" indicator in the I group on the 1st day from the start of using "SUN-EKT®" was 23.2; after 3 days – 27.6; after 7 days – 32.1, i.e. increased by 38.4% over 7 days. For comparison, in II and III groups it was 21.1; 22.3; and 27.1, as well as 18.4; 19.6; and 22.7 in the corresponding periods, and increased by 28.4% and 23.4%, respectively. Non-invasive skin monitoring revealed a gradual decrease in manifestations of hyperemia, edema, and hypervascularity within 7 days in all three groups, but the rate of recovery was the fastest in group I and the slowest in group III. It was concluded that according to all indicators, the healing process was the best in the I group, which allows us to recommend "SUN-EKT®" for wide use. Keywords: wounds, burns, laser epilation, healing, injection and hardware cosmetology.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0130.001
Scholarly communication0.0020.001
Open science0.0030.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0510.112

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 head0.107
GPT teacher head0.266
Teacher spread0.158 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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