A field experiment was carried out at the research station of the College of Agriculture - Wasit University / Kut, during the fall season 2021 in soil with texture (sandy mixture) using the RCBD design in the arrangement of splintered plates and with three replications, to study the effect of spraying different combinations of organic emulsion (Appetizer) and NPK nano fertilizer with urea fertilizer on the growth of synthetic cultivars of yellow corn. The main panels included three synthetic varieties of yellow corn (Fajr1, Sumer and Baghdad3), which symbolized by (V1,V2,V3) in sequence, while the secondary panels included five fertilization treatments in which mineral fertilizer (urea) was used 46% nitrogen with the full recommendation (300 kg/ha-1) (control treatment) symbolized by T1 and (adding urea according to the recommendation with the addition of the organic emulsion (Appetizer) in two batches before flowering and full flowering) and symbolized by T2 and (adding urea according to the recommendation with nano-NPK in two batches before flowering and full flowering) and symbolized by T3 and (reduction of the recommendation treatment in the first and second batches with the addition of the organic emulsion (Appetizer) in two batches before flowering and full flowering) and symbolized by T4 and (reduction of the recommendation treatment in the first and second batches with the addition of nano-NPK in two batches before flowering and full flowering) It is symbolized by T5. The results showed that there were significant differences between the different fertilization treatments, as the T5 nano fertilization treatment achieved the highest average in most of the growth and quality indicators, It gave the highest average number of days from planting up to 75% of male flowering amounted to 68.00 days and the highest average number of days from planting to 75% of female flowering amounted to 73.44 days and the highest plant height (172.96 cm) and ear height (70.01 cm), the number of leaves per plant (15.23) and the content of The chlorophyll of the leaf under the ear (60.09). The results also showed that the Baghdad3 variety excelled in most of the growth indicators and gave the highest average number of days from planting up to 75% of male flowering amounting to 66.07 days and the highest average number of days from planting up to 75% of female flowering amounted to 72.00 days and the highest plant height (170.04 cm) and ear height (67.11 cm), the number of leaves per plant (14.26), the chlorophyll content of the leaf under the ear (55.49). The interaction between fertilization treatments and cultivars was not significant for most of the growth characteristics.
Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date. A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-stage MCDM s
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Herein, a biocomposite of crosslinked chitosan polyethylene glycol diglycidyl ether (CS-PEDGE), montmorillonite (MMT), and foodgrade algae (FGA) was successfully prepared by a hydrothermal technique. The resulting absorbent (CS-PEDGE/FGA/MMT) was assessed for its adsorption property with methyl violet 2B (MV 2B) a toxic cationic dye. The physicochemical properties of CS-EDGE/ FGA/MMT were assessed via various analytical techniques, including BET, Elemental analysis, pHpzc, and spectroscopy (FTIR, XRD, SEM-EDX). The influence of three adsorption variables, namely adsorbent dose (A: 0.02–0.1 g/100 mL), solution pH (B: 4–10), and contact time (C: 10–420 min) on the rate of MV 2B dye removal was examined using the Box-Behnken design (RSM-
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Sequencing technologies have reshaped the study of the subgingival microbiome, but selecting the appropriate method remains challenging because of differences in resolution, cost, host DNA contamination, and computational complexity. This review compares 16S rRNA sequencing, full-length 16S, shotgun metagenomics, and metatranscriptomics with respect to taxonomic resolution, functional output, sample requirements, and analytical limitations. Key practical issues, including low microbial biomass, contamination control, and the choice of appropriate bioinformatic tools, are emphasized to help researchers avoid common pitfalls. A decision-making framework is provided to link study goals to suitable sequencing methods while outlining rea
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This study refers to the development and characterization of silver oxide nanoparticles obtained by X-ray diffraction, nanostructured silver oxide was used in order to calculate the micro strain and crystal size by Halder-Wagner method and by relying on X-ray diffraction diagram of the nonstructural silver oxide, where the results of the crystal size and the micro-strain were 4nm and 0.33 respectively. Other analysis techniques, such as the Size-strain plot, The X-ray diffraction study confirmed that the crystalline nature of silver oxide nanoparticles has a cubic structure. Through the X-ray diffraction results, the crystal size was calculated using Debye-Scherrer and Williamson-Hall methods. Halder-Wagner (HW), Size-strain plot, D
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