The study was conducted at research station A, department of field crops, college of agricultural engineering sciences, university of Baghdad during summer 2021 to evaluate the effect of boron and some growth regulators on some growth criteria and yield of soybean crop (cv. shimaa). The experiment was carried out according to split plots by using randomized complete block design with three replications. The main plots included three concentrations of boron (75, 150 and 225) mg.L-1, the sub-plots included three levels of growth regulators, spraying kinetin (100 mg. L-1), spraying ethrel (200 mg.L-1) and spraying kinetin (100 mg.L-1) + spraying ethrel (200 mg.L-1) as well as spraying of distilled water as control treatment. The findings revealed that the spraying of ethrel at 200 mg.L-1 gave the lower means of plant height (114.68 cm), and gave the higher means of No. of branches (5.60 branch. plant-1), leaf area (97.86 dcm2), plant dry weight (206.64 g plant-1) and this led to give higher means of seed yield (2.715 ton. ha-1), while the concentrations of growth regulators did not significantly affect the leaf area index. Boron concentrations affected most of studied traits, 150 mg.L-1 of boron effect on most of traits and gave higher means of plant height (143.93cm), No. of branches (6.21 branch plant-1), leaf area (111.53 dcm2 plant), leaf area index (7.47), plant dry weight (246.45 g), this led to give higher means of seed yield (3.071 ton.ha-1). Result showed that boron and some growth regulators interaction have a significant effect on some characteristics under study. It has achieved spray treatments Boron with 150 mg.L-1 and ethrel of 200 mg.L-1 gave the higher means of No. of branches (6.97 branch plant-1), leaf area (114.26 dcm2.plant), LAI (7.62), plant dry weight (265.24 g.plant-1).
The developments accelerated in technology and rapid changes in the environment and increase numbers industrial countries and different desires and requirements of customers, lead to be produced in large quantities is not feasible due to changes listed above as well as the need to product variety and change in tastes and desires of consumers, all above led not to enable companies to discharge their products in the case of mass production and created the need to devise ways and new methods fit with the current situation, and accounting point no longer the traditional accounting systems able to meet the requirements needed by the companies to make decisions and know where waste and loss of resources resulting to invent new style away from
... Show More Problem solving methods and mechanisms contribute to facilitating human life by providing tools to solve simple and complex daily problems. These mechanisms have been essential tools for professional designers and design students in solving design problems.
This research dealt with one of those mechanisms, which is the (the substance-field model model), as it has been mentioning that this mechanism is characterized by the difficulty of its application, which formed the main research problem. In home gardens (the sub-problem of research), an analysis of this problem was applied and then a solution was found to address it. The researcher used the 3dsmax program to implement the proposed design.
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Irak Türkmen edebiyatının divan şiirlerinde büyük simalardan sayılan , ve
Irak Türklerinin en içli şairi olan Osman Mazlum .Şiirleri yalnızlık hem ve kederle
dolu olan şairin , her zaman büyük bir üzüntüye kablandığı için bunun tüm
şiirlerinde yansıtmıştır . Her zaman kaderden şikayetci olan şiirlerinde (Mazlum)
mahlasını kullanmıştır . Şairin klasik edebiyatında önemli bir yeri vardır . Hoyrat
yoluyla edebiyata giren mazlum'un gönül yarası bu aşıkla dolunca feyizlenmeye
ve türlü nağmelerle seslenmeğe başladı . İşte bu güne kadar yazmış olduğu şiirler
o sesler hep ahang , terennüm ve tesavırıdır . Bende bu araştırmada i
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Document source identification in printer forensics involves determining the origin of a printed document based on characteristics such as the printer model, serial number, defects, or unique printing artifacts. This process is crucial in forensic investigations, particularly in cases involving counterfeit documents or unauthorized printing. However, consistent pattern identification across various printer types remains challenging, especially when efforts are made to alter printer-generated artifacts. Machine learning models are often used in these tasks, but selecting discriminative features while minimizing noise is essential. Traditional KNN classifiers require a careful selection of distance metrics to capture relevant printing
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