Survey of Coleopteran Insects on Alfalfa Plant
Publication Date
Sat Apr 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
The Effect of Vitamin B9 and E on the Yield and Its Components of the Wheat Crop
Abstract<p>During the 2016–2017 and 2017–2018 winter semesters, researchers from the College of Agricultural Engineering Sciences at the University of Baghdad conducted a field experiment at the university’s research station. This inquiry set out to examine how spraying wheat plants with vitamins B9 (Folic acid) and E (Tocopherol) affected certain yield characteristics (Al-Fourat variety). The studies were set up as three repetitions of a factorial experiment using a Randomized Full Block Design. Vitamin E was sprayed at 0, 1, and 2 ml.L<sup>-1</sup>, while vitamin B9 was sprayed at 0, 1, and 3 ml.L<sup>-1</sup> (0, 250, and 500 mg. L<sup>-1</sup>). While the </p>
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(8)
(2)
Publication Date
Mon Apr 03 2023
Journal Name
Polymer Composites
(33)
(34)
Publication Date
Tue Feb 01 2022
Journal Name
Journal Of Ovonic Research
(19)
Publication Date
Mon Nov 11 2019
Journal Name
Day 3 Wed, November 13, 2019
Drill Bit Selection Optimization Based on Rate of Penetration: Application of Artificial Neural Networks and Genetic Algorithms
Abstract<p>The drill bit is the most essential tool in drilling operation and optimum bit selection is one of the main challenges in planning and designing new wells. Conventional bit selections are mostly based on the historical performance of similar bits from offset wells. In addition, it is done by different techniques based on offset well logs. However, these methods are time consuming and they are not dependent on actual drilling parameters. The main objective of this study is to optimize bit selection in order to achieve maximum rate of penetration (ROP). In this work, a model that predicts the ROP was developed using artificial neural networks (ANNs) based on 19 input parameters. For the</p>
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(11)
Publication Date
Thu Aug 08 2024
Journal Name
Computation
Evaluation of the Dynamics of Psychological Panic Factor, Glucose Risk and Estrogen Effects on Breast Cancer Model
Psychological Panic Factor
Glucose Risk
Estrogen effect
Breast cancer model.
Contracting cancer typically induces a state of terror among the individuals who are affected. Exploring how glucose excess, estrogen excess, and anxiety work together to affect the speed at which breast cancer cells multiply and the immune system’s response model is necessary to conceive of ways to stop the spread of cancer. This paper proposes a mathematical model to investigate the impact of psychological panic, glucose excess, and estrogen excess on the interaction of cancer and immunity. The proposed model is precisely described. The focus of the model’s dynamic analysis is to identify the potential equilibrium locations. According to the analysis, it is possible to establish four equilibrium positions. The stability analys
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(9)
Publication Date
Wed Jan 01 2014
Journal Name
Asian Journal Of Chemistry
(7)
(6)
Publication Date
Sun Oct 19 2025
Journal Name
Lecture Notes In Networks And Systems
Publication Date
Wed Oct 02 2024
Journal Name
International Development Planning Review
Publication Date
Wed Jan 01 2020
Journal Name
Modern Sport
Publication Date
Sat Nov 29 2025
Journal Name
Al-fatih Journal