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Record W4254522976 · doi:10.21608/auber.2004.150614

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

2004· article· en· W4254522976 on OpenAlexaboutno aff
S Abdel-Mawly

Bibliographic record

VenueAssiut University Bulletin for Environmental Researches · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsHedgeCorrosionEngineeringMetallurgyMaterials scienceBiologyBotany

Abstract

fetched live from OpenAlex

: 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.313
Teacher spread0.248 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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