Bibliographic record
Abstract
While nitrogen fertilizer is added substantially to harvest augmentation in plants produce, nonetheless unnecessary usage of this chemical has raised severe dangers to human health and environment.Rate of nitrogen fertilizer use has an adjacent affiliation by nitrate gathering in soil, ground water, surrounding environment, plus leafy and root vegetables.This article concentrates on research information on the harmful effects of too much addition of nitrogen fertilizer and its fate in the surroundings.Generally, public water utilities are required to maintain nitrate levels below a Maximum Contaminant Level (MCL) of 10 mg/ L nitrate-nitrogen (N) that is instituted to defend contrary to methemoglobinemia (blue baby syndrome), to which children are specifically vulnerable.Besides methemoglobinemia, various further health hazards have been connected with consumption of nitrate-polluted drinking water, together with diabetes, different cancers and thyroid conditions, and adversative reproductive outcomes (particularly neural tube faults).The paramount way out is to discover a substitute water resource for consumption and food preparation purposes of water otherwise decrease the basis of nitrate contamination.Infant nourishing ways to decrease ingestion of nitrate and nitrite are consume of breast milk, use of previously diluted fluid formulas otherwise usage of low-nitrate water to dilute concentrated fluid or else processed formulas, and the consumption of vegetables that are rich in nitrate must be restricted till infants are 4-6 months old.Consumers can reduce hazard of acquaintance to nitrogen through cautiously usage of domestic foodstuffs and by escaping of spaces wherever it is being dispensed excessively to fertilize crops.Poisonous activity and other adversative effects of N-nitroso compounds can be prohibited by consuming of antioxidants containing fruits and vegetables and vitamin C.This article might be helpful to reduce negative effects of nitrogenous chemicals to human health and safety in many outlined ways by usage of fertilizers safely to maximize their benefits and limit risks.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.999 | 0.998 |
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; both teacher heads agree on what is shown here.
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".