EFFECT OF OMEGA-3 FATTY ACID SUPPLEMENTATION ON DIFFERENCES SICK EXPOSURE, ENERGY CONSUMPTION AND ANTHROPOMETRY OF STUNTING CHILDREN AGED 12-36 MONTHS (Case Study in Sikumana Health Center Work Area Kupang City)
Bibliographic record
Abstract
Stunting merupakan masalah gizi kronis yang disebabkan oleh asupan gizi yang tidak adekuat dalam waktu lama akibat makan yang tidak sesuai dengan kebutuhan gizi. Jenis penelitian ini adalah penelitian eksperimen (eksperimental) yang dibagi menjadi dua kelompok, yaitu kelompok kontrol dan kelompok perlakuan. Penelitian ini dilaksanakan di Wilayah Kerja Puskesmas Sikumana Kota Kupang pada bulan Desember-Januari 2021. Populasi dalam penelitian ini berjumlah 68 orang, sampel dalam penelitian adalah 22 orang yang terdiri dari sampel perlakuan 11 orang dan kontrol sampel sebanyak 11 dengan teknik pengambilan sampel menggunakan simple random sampling. . Hasil penelitian menunjukkan bahwa terjadi peningkatan imunitas yang terlihat dari berkurangnya frekuensi penyakit balita stunting yang diberikan asam lemak omega-3. Hasil penelitian menunjukkan pengaruh suplementasi asam lemak omega-3 terhadap peningkatan konsumsi energi dengan nilai signifikan (P=0,046), peningkatan lingkar lengan atas dengan nilai signifikan (P=0,048). Disimpulkan bahwa anak balita stunting yang diberikan suplementasi asam lemak omega-3 dapat meningkat imunitas anak yang diperlihatkan dengan berkurangnya paparan sakit, adanya perubahan konsumsi energi, lingkar lengan atas secara signifikan.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".