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Evaluating of Different Types of Agricultural Nozzles Locally Used in Iraq
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The experiment aimed to Manufacture a device for checking the nozzles and testing its efficiency and to study the effect of research factors on the studied traits. The device was manufactured locally through using materials available in the Iraqi market. The system is Both Hydraulic and electronic (ISO 5682-1)1 relay on sensors technology and the test platform was built and designed on a movable trolly at the department of Agricultural Machines and Equipment / College of Agricultural Science / University of Baghdad. The design includes the use of mechanical water pump and electrical AC water pump. The design includes a nozzle holder that can accommodate three nozzles per test. The design also consists of spreading wings and stationary wing that can accommodate 50 vessels and 50 ultra-sonic sensors. All that is controlled by a main control unit which consists of three branch modules (each one of them is responsible to collect and analyze data from several sensors on each of the wings. The idea behind the design is to merge between actual spraying and the use of electronic sensors to analyze the size of the sprayed liquid in each of the vessels, the concept of the design is based upon Volumetric distribution of the liquid. The concept of the device was based on using ultra sonic sensors to measure the volumetric distribution of liquids. The experiment aimed to determine the effects of these factors on flow rate, spraying angle, sprayed area, spraying swath, volumetric distribution (CV), and symmetry. The experiment was conducted at the college of Agricultural science, Baghdad University. The results showed that the spraying pressure had a non-significant effect on flow rate. However, increasing the pressure from 3.0 to 5.0 and then to 7.0 bar resulted in flow rates of 1.314, 1.286, and 1.36 l/m, respectively. The status of the nozzle (new or worn) did not significantly affect the flow rate, with new nozzles registering a slightly higher flow rate of 1.327 l/m compared to worn nozzles (1.312 l/m). On the other hand, the type of nozzle had a significant impact on flow rate, with plastic, brass, and steel nozzles registering flow rates of 1.243, 1.422, and 1.29 l/m, respectively. Regarding the spraying angle, the results indicated that the spraying pressure had a significant effect. Increasing the pressure from 3.0 to 5.0 and then to 7.0 bar resulted in spraying angles of 132, 132, and 136 degrees, respectively. The nozzle status significantly affected the spraying angle, with worn nozzles resulting in a higher angle of 137 degrees compared to new nozzles (130 degrees). However, the type of nozzle did not significantly affect the spraying angle. For the sprayed area, the spraying pressure had a significant effect, with higher pressures resulting in larger sprayed areas. Worn nozzles also significantly increased the sprayed area compared to new nozzles. The type of nozzle had a significant impact on the sprayed area, with plastic, brass, and steel nozzles resulting in areas of 70.4, 80.44, and 89.16 cm2, respectively. The experiment proved that nozzles must be tested periodically, otherwise they start to perform beyond the parameters they were designed to perform with.

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Publication Date
Sun Jan 01 2023
Journal Name
Materials Today: Proceedings
Preparation, characterization and preliminary cytotoxic evaluation of 6-mercaptopurine-coated biotinylated carbon dots nanoparticles as a drug delivery system
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Publication Date
Sat Nov 19 2022
Journal Name
Journal Of Solid State Electrochemistry
Thermal, electrical and electrochemical properties of ionic liquid-doped poly(ethylene oxide)–LiTDI polymer electrolytes for Li-ion batteries
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Publication Date
Sat Apr 30 2022
Journal Name
Revue D'intelligence Artificielle
Performance Evaluation of SDN DDoS Attack Detection and Mitigation Based Random Forest and K-Nearest Neighbors Machine Learning Algorithms
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne

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Publication Date
Mon Jun 07 2021
Journal Name
Journal Of Molecular Histology
Structural and functional relations between the connective tissue and epithelium of enamel organ and their role during enamel maturation
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Publication Date
Thu Apr 01 2021
Journal Name
Computer Methods And Programs In Biomedicine
A hybrid approach based on multiple Eigenvalues selection (MES) for the automated grading of a brain tumor using MRI
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Publication Date
Wed Mar 13 2024
Journal Name
Journal Of Robotics
Hierarchical Stabilization and Tracking Control of a Flexible-Joint Bipedal Robot Based on Anti-Windup and Adaptive Approximation Control
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Bipedal robotic mechanisms are unstable due to the unilateral contact passive joint between the sole and the ground. Hierarchical control layers are crucial for creating walking patterns, stabilizing locomotion, and ensuring correct angular trajectories for bipedal joints due to the system’s various degrees of freedom. This work provides a hierarchical control scheme for a bipedal robot that focuses on balance (stabilization) and low-level tracking control while considering flexible joints. The stabilization control method uses the Newton–Euler formulation to establish a mathematical relationship between the zero-moment point (ZMP) and the center of mass (COM), resulting in highly nonlinear and coupled dynamic equations. Adaptiv

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Publication Date
Mon Feb 01 2021
Journal Name
Meta Gene
Association analysis of FTO gene polymorphisms rs9939609 and obesity risk among the adults: A systematic review and meta-analysis
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Publication Date
Mon Aug 01 2022
Journal Name
Baghdad Science Journal
Evaluation of Turkish Delight Prepared With Pigments And Essential Oils Extracted From Clementine (Citrus Clementine) Peels As Natural Antioxidants
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This experiment presented essential oils by GC/MS, pigment content, and their antioxidant activities as well as sensory evaluation of delight samples. Limonene (66.88%) was the most prevalent yield. The peels of clementine had DPPH and ABT Scavenging activity. All levels of pigment extract had better scores for all sensory values and recorded acceptable scores in terms of appearance, color, aroma, and overall acceptability compared to control delight. Besides, delight samples containing 15 mg astaxanthin pigment extract showed maximum sensory scores compared to other samples and control delight. On the other hand, the product was less acceptable to the panelists compared to control in the case of the addition of 3.75 mg astaxanthin pigme

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Publication Date
Sat Jun 01 2024
Journal Name
Results In Engineering
Thermodynamic modeling and performance analysis of photovoltaic-thermal collectors integrated with phase change materials: Comprehensive energy and exergy analysis
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Publication Date
Sat Jan 01 2022
Journal Name
Arab Journal For Plant Protection
Toxicity Stress of the Durah Power Plant Ash and its Effect on the Alga Chlorococcum humicola (Naeg) Rabenhorst 1868
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Al-Naymi, N.A.Sh., H.A.S. AL-Nuaimi and M.R. Nashaat. 2022. Toxicity Stress of the Durah Power Plant Ash and its Effect on the Alga Chlorococcum humicola (Naeg) Rabenhorst 1868. Arab Journal of Plant Protection, 40(2): 188-192. https://doi.org/10.22268/AJPP-040.2.188192 This study illustrates the acute toxic effect of ash released from Durah power plant (DPP) on the biology of the phytoplankton species Chlorococcum humicola in Iraq. The results showed that the median lethal concentration for killing 50% of the Alga population (LC50) was 0.15 and 0.13 ppt (parts per thousand) for 24 and 48 hours exposure to crude ash concentrations, respectively. In contrast, no LC50 value was recorded for 72 and 96 hrs after exposure. The reduction

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