REFERENCES: 1-Ives, M., Rodda, J., Edmonds, A. and V.Long “Comparison of Methods for Measuring Corrosion in Drinking Water”. A paper presented at the NACE conference, Ottawa, Canada, (1999). 2-Hedge R.E.M., and Mclellan M., Archaeometry, 18,2, 203, (1976). 3- Giles C.H., MacEvan, T.H., Nakhwa. S.N. and Smit, D., J. Chem. Soc., 3973, (1960). 4-Wolfrum, C. and Fritz, P.[assessment of experimental research techniques for the investigation of radionuclide migration in aquifers} Nucl. Sci. T
Bibliographic record
Abstract
: Field experiments were carried out during winter seasons of 2000/20001 and 2001/2002 at the Experimental Farm of the Faculty of Agric., Al-Azhar Univ., Assiut on clay eyloamy soil to study the effect of irrigation levels and N fertilization rates on growth and yield as well as N uptake and water use efficiency of carrot. The results indicated that frequent irrigation with 100% replenishment of evaporation losses resulted in highest root yield, total dry matter, leaf area index, and N uptake. Water use efficiency recorded high value with 75% replenishment of evaporation losses. Also, the results showed that increasing nitrogen rate up to 120 kg N/fed significantly, increased the dry matter, root yields, water use efficiency and N uptake in all tested treatments. Apparently nitrogen recovery percent increased with evaporation replenishment up to 100% level and with increasing rate of nitrogen up to 80 kg N/fed, then decreased with increasing rate of applied nitrogen. There were two phases the interaction effect. First response of root yield to nitrogen increment was significant, at 75% level of evaporation replenishment. This indicate that evaporation replenishment improved nitrogen utilization. Secondly, that the response to irrigation level application was, particularly noticed when levels of nitrogen were applied. The highest root yields were obtained with at 100% evaporation replenishment and 120 kg N/fed. On the other hand, maximum water use value were recorded with 120 kg N/fed and at 75% level of evaporation replenishment. أجريت تجربة حقلية خلال موسمي النمو الشتوى 2000/2001 ، 2001/2002 بمزرعة کلية الزراعة - جامعة الأزهر بأسيوط على أرض طميية طينية لدراسة تأثير مستويات الرى مع معدلات من السماد الأزوتى على النمو والمحصول وکذلک المحتوى الکلى للنتروجين لنباتات الجزر والکفاءة الاستعمالية لمياه الرى. أکدت النتائج أن زيادة مرات الرى عند المستوى 100% لتعويض الفقد بالبخر – نتح يؤدى إلى زيادة المحصول والمادة الجافة الکلية ويتبعها زيادة محتوى النتروجين فى النبات. بينما کفاءة استعمال الماء أعطت أعلى معدل لها عند مستوى 75% لتعويض الفقد – نتح، کذلک تبين النتائج أن زيادة النتروجين إلى المعدل 120 کجم/فدان سجلت أعلى زيادة معنوية فى محصول المادة الجافة ومحصول الجذور وکفاءة استعمال الماء مع کل المعاملات تحت الدراسة. هناک صورتان لتأثير التداخل الناتج من استعمال السماد الأزوتى مع مستويات الرطوبة: أولاً- استجابة محصول الجذور فى نباتات الجزر لإضافة مستويات النتروجين کانت معنوية فقط مع الرى عند مستوى 75% لتعويض الفقد فى البخر – نتح، کذلک تؤکد النتائج أن زيادة الرطوبة تحسن من الاستفادة من النيتروجين. ثانياً- استجابة المحصول لمستويات الرطوبة کانت تلاحظ بوضوح خصوصاً مع إضافة السماد الأزوتى. وتبين النتائج أن أعلى محصول جذور من نباتات الجزر نتج من إضافة 120 کجم نتروجين/فدان وعند مستوى 100% لتعويض فى الفقد- نتح وفى المقابل کانت أعلى قيمة لکفاءة استعمال الماء عند مستوى 75% لتعويض الفقد فى البخر – نتح مع إضافة 120 کجم نتروجين/فدان.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.071 | 0.035 |
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".