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The Effect of the Combination of Organic Fertilizer and Spraying with Silicon and Calcium on the Growth and Production of Three Cultivars of Beet
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Abstract<p>Field experiments were carried out for the autumn season 2022- 2021 in the field of College of Agricultural Engineering Sciences - University of Baghdad - Jadiriyah Complex –Station A- to study a combination of organic fertilizer (Vermicompost) and cow manure as well as a control treatment (soil only) intertwined with Spraying with silicon, calcium and distilled water (control) in the growth and production of three cultivars of beet (Cylindra, Dark Red, Red) within the design of Completely Randomized Block Design at three replications, The number of treatments was 9 for each replicate. The means were compared according to the least significant difference (L.S.D) at a probability level of 5 %, the results were as follows:-The interaction treatment of the Vermicompost with calcium spraying in the number of leaves, the concentration of chlorophyll, the percentage of nitrogen and phosphorous), was significantly superior to the combination of Vermicompost with spraying silicon significantly (in the percentage of potassium, the concentration of silicon, the root yield, the leaf yield, the percentage of dry matter, phenols and sugars), at a rate of (387.67,3%.28 mg kg<sup>−1</sup>, 35.88 ton h<sup>−1</sup>, 50 ton h<sup>−1</sup>, 8.78%, 014% and 889%) respectively. As for the percentage of calcium, it was characterized by the combination treatment of cow manure with calcium spray, and the combination of cow manure with silicon spray was superior in T.S.S. and the percentage of fiber at 3.17 and 11.66% respectively for the Red variety.As for the variety Red Dark it was significantly superior to the mixture of the medium vericompost with silicon spray in the number of leaves, the concentration of chlorophyll and the percentage of nitrogen, the concentration of silicon, Root yield and leaf yield Percentage of dry matter T.S.S, phenols and sugars at (10 leaf plant<sup>−1</sup>, 82.2 mg 100 fresh wet<sup>−1</sup>, 3.53%, 313.00 mg kg<sup>−1</sup>, 36.35 ton h<sup>−1</sup>, 40.92 ton h<sup>−1</sup>, 6.86%, 11.03%, 0.16% and 845%) respectively, while the percentage of phosphorous and potassium, it was characterized by the combination of cow manure with silicon spray, and the combination of vermicompost with calcium spray was superior to the percentage of calcium and the percentage of fiber by giving it 2.19% and 2.50% respectively. As for the variety Cylindra it was significantly superior to the combination of the Vericompost with silicon spray in the number of leaves, concentration of chlorophyll, percentage of nitrogen, phosphorous, silicon, root yield, leaf yield, Percentage of dry matter, T.S.S, Whereas, the treatment with cow manure overlapping with silicon was superior in the percentage of potassium, phenols and sugars, as it gave 4.11% 0.13 and 665% respectively, The treatment of the Vermicompost with calcium spray was characterized in the percentage of calcium as it gave 1.65%.</p>
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Publication Date
Tue Apr 01 2025
Journal Name
Inorganic Chemistry Communications
Rapid sonochemical synthesis of Fe3O4@AC from waste rubber tires to use for azo dye removal
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Publication Date
Thu Jun 23 2022
Journal Name
International Journal Of Health Sciences
Taxonomical study of Caroxylon jordanicola (Eig) Akhani &amp; Roalson (Amaranthaceae) in Al-Tar Caves, Karbala, Iraq
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The present study dealt with the morphological, anatomical,trichomespollen grains,and ecological characteristics of Caroxylon jordanicola (EigAkhani & Roalson (Amaranthaceae) in Al-Tar Caves, Karbala, Iraq which belongs to the Amaranthaceae family. The results of the present study demonstrated that There are distinctive characteristics of the studied species distinguish it from other species and facilitate its diagnosis. The sample was diagnosed using the taxonomic keys of the Iraqi flora and the flora of neighboring countriesIn addition to some available research. The results of the morphological and anatomical features investigation provide really significant taxonomical value to distinguish the species. The results that showe

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Publication Date
Wed Apr 01 2020
Journal Name
Isa Transactions
Design of a Complex fractional Order PID controller for a First Order Plus Time Delay system
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Publication Date
Sun Jan 01 2017
Journal Name
International Journal Of Electrochemical Science
Natural dye extracted from Pandannus amaryllifolius leaves as sensitizer in fabrication of dye-sensitized solar cells
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Publication Date
Fri Mar 29 2024
Journal Name
Iraqi Journal Of Science
Determination of Timewise-Source Coefficient in Time-Fractional Reaction-Diffusion Equation from First Order Heat Moment
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     This article aims to determine the time-dependent heat coefficient together with the temperature solution for a type of semi-linear time-fractional inverse source problem by applying a method based on the finite difference scheme and Tikhonov regularization. An unconditionally stable implicit finite difference scheme is used as a direct (forward) solver. While by the MATLAB routine lsqnonlin from the optimization toolbox, the inverse problem is reformulated as nonlinear least square minimization and solved efficiently. Since the problem is generally incorrect or ill-posed that means any error inclusion in the input data will produce a large error in the output data. Therefore, the Tikhonov regularization technique is applie

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Publication Date
Tue May 12 2026
Journal Name
International Journal Of Environmental Analytical Chemistry
Eco-friendly chelating Ni(II) nano-compounds for colorimetric optical fiber sensing of heavy metal ions
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A new Ni(II) nanostructured chelating system (DHN) was introduced for selective optical heavy-metal ion sensing in an aqueous medium. The cooperative chelating system comprising 8-hydroxyquinoline (8-HQ) and dimethylglyoxime (DMG) has been developed for the first time in association with fibre optic sensing for selective optical heavy-metal ion sensing in an aqueous medium. The Ni(II) nanocompound fluoresces upon 578 nm excitation, showing a highly sensitive optical response with a linear calibration curve in the range 0–100 ng/mL. The regression equation of the calibration curve is y = 0.0035x + 0.9990, which indicates very good linearity, implying R2 = 0.999 with high sensitivity (calibration slope of 0.0035) and low baseline noise (bla

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Publication Date
Mon Jan 01 2024
Journal Name
Journal Of The College Of Languages (jcl)
Negation marker in Standard Persian : a typological analysis based on Givon’s functional model: عامل نفی در زبان فارسی معیار: بررسی رده‌شناختی براساس مدل نقش‌ گرایی گیون
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 Abstract:

Typological analysis about  the negation marker  in different languages is one of the fields of research that has attracted much attention.  In Persian language, this constituent has been analysed from different aspects. This study aimed to analyse  different aspects of negation marker  in  the adjectives,  the noun phrases and  the verb phrases based on typological analysis.  Many studies have been revealed that  the negation in adjectives has shown lexically and morphologically. In the noun phrases, /hich/  has used as a negative marker necessarily marking the verb phrase as negative too. In the verb phrases, negation occurs morphologically by the addition of the prefix /n

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Publication Date
Mon Sep 30 2019
Journal Name
Pharmacy Practice
Pharmacist intervention to enhance postoperative fluid prescribing practice in an Iraqi hospital through implementation of NICE guideline
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Publication Date
Mon Jan 13 2020
Journal Name
Day 3 Wed, January 15, 2020
Numerical Simulation of Gas Lift Optimization Using Genetic Algorithm for a Middle East Oil Field: Feasibility Study
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<p>Gas-lift technique plays an important role in sustaining oil production, especially from a mature field when the reservoirs’ natural energy becomes insufficient. However, optimally allocation of the gas injection rate in a large field through its gas-lift network system towards maximization of oil production rate is a challenging task. The conventional gas-lift optimization problems may become inefficient and incapable of modelling the gas-lift optimization in a large network system with problems associated with multi-objective, multi-constrained, and limited gas injection rate. The key objective of this study is to assess the feasibility of utilizing the Genetic Algorithm (GA) technique to optimize t</p> ... Show More
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Publication Date
Mon Mar 31 2025
Journal Name
The Iraqi Geological Journal
Evaluation of Machine Learning Techniques for Missing Well Log Data in Buzurgan Oil Field: A Case Study
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The investigation of machine learning techniques for addressing missing well-log data has garnered considerable interest recently, especially as the oil and gas sector pursues novel approaches to improve data interpretation and reservoir characterization. Conversely, for wells that have been in operation for several years, conventional measurement techniques frequently encounter challenges related to availability, including the lack of well-log data, cost considerations, and precision issues. This study's objective is to enhance reservoir characterization by automating well-log creation using machine-learning techniques. Among the methods are multi-resolution graph-based clustering and the similarity threshold method. By using cutti

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