The plant Conyza canadensis, which belongs to Asteraceae (Compositae) family and known as Canadian horseweed. It was used as traditional medicine in China, Pakistan, India, and Africa for the treatment of various diseases causing by bacteria, fungi, or viruses. The plant has antimicrobial, antioxidant, anticoagulant, anti-inflammatory, and anticancer pharmacological activity. This study provides the first phytochemical investigation of the plant in Iraq and is concerned with extraction, fractionation, isolation, and purification of some of the important phytochemicals detected in the plant-like phenolic acids, flavonoids, and alkaloids. Also, the literature survey has revealed that the plant has a substantial antimicrobial activity, so it was deemed desirable to make a study for the antimicrobial activity of the plant. The whole plant was collected from Baghdad city / College of Pharmacy/ University of Baghdad farm during July (2020). The aerial parts and roots were washed thoroughly, dried in shade, chopped, pulverized into a coarse powder, and then weighed. The shade-dried crushed plant materials were first defatted by maceration in hexane for 24 h. Then extracted by two extraction methods (hot method using soxhlet apparatus and cold method by maceration in solvent), using 85% aqueous ethanol as solvent extraction, and fractionated by petroleum ether, chloroform, ethyl acetate, and n-butanol. The phytochemical screening of the ethanolic extract from both extraction methods revealed alkaloids, saponin glycosides, coumarins, flavonoids, steroids, phenolic compounds, proteins, anthraquinones, terpenoids, and cardiac glycosides. However, depending on the percentage yields, the hot method yield was better than the cold method, so the extraction method by soxhlet was preferred upon maceration as it gives a higher percentage yield. The petroleum ether, chloroform, and ethyl acetate fractions were analyzed by thin-layer chromatography (TLC) and high-performance liquid chromatography (HPLC) for their steroids, alkaloids, and polyphenolic (phenolic acids and flavonoids) contents, respectively. The different chromatographic results revealed the presence of stigmasterol and β- sitosterol in petroleum ether fraction, harmine alkaloid in chloroform fraction, quercetin, quercitrin, apigenin, p-coumaric acid, and caffeic acid in ethyl acetate fraction of the Iraqi C. canadensis plant. Three polyphenolics compounds (p-coumaric acid, caffeic acid, apigenin) were isolated from ethyl acetate fraction by preparative thin-layer chromatography plates (PLC), and Harmine alkaloid was isolated from chloroform fraction by high-performance liquid chromatography (HPLC) using a fraction collector. The isolated compounds were subjected to various chromatographic and spectral analytical techniques for their identification, such as TLC, FTIR, HPLC, and high-performance thin-layer chromatography (HPTLC). Petroleum ether fraction was analyzed for the detection of coumarins by TLC. One compound was isolated, purified by PLC, symbolized as MS compound, and identified by FTIR and 1H -NMR since there is no standard available for this compound. The isolated MS compound could be pyranocoumarin glycoside. To investigate the essential oil composition of Iraqi C. canadensis, hydrodistillation of fresh aerial part of the plant was done using Clevenger-type apparatus for 3hr. The essential oils components and the hexane fraction obtained by maceration of the plant material in hexane solvent were identified using GC/MS analysis. The results of GC/MS analysis of the essential oil were abundant by hydrocarbon compounds, particularly by sesquiterpene hydrocarbon. This study also involves a preliminary determination of the antimicrobial activity of ethyl acetate fraction of the plant against two Gram-positive bacteria (Staphylococcus aureus and Staphylococcus epidermidis), two Gram-negative bacteria (Escherichia coli and Klebsiella sp.) and one fungi species (Candida albicans) by measuring the inhibition zone diameter around the hole in mm, compared with streptomycin and fluconazole standard drugs for antibacterial and antifungal activity, respectively. The antimicrobial results showed significant antibacterial activity against S.aureus (gram-positive bacteria) and important antifungal activity against Candida albicans. In contrast, no antibacterial activity was demonstrated against the tested gram-negative bacteria. Furthermore, the antibacterial activity exerted against S. epidermidis (gram-positive bacteria) was affected by dilution dimethyl sulfoxide (DMSO).
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In this research, Artificial Neural Networks (ANNs) technique was applied in an attempt to predict the water levels and some of the water quality parameters at Tigris River in Wasit Government for five different sites. These predictions are useful in the planning, management, evaluation of the water resources in the area. Spatial data along a river system or area at different locations in a catchment area usually have missing measurements, hence an accurate prediction. model to fill these missing values is essential.
The selected sites for water quality data prediction were Sewera, Numania , Kut u/s, Kut d/s, Garaf observation sites. In these five sites models were built for prediction of the water level and water quality parameters.
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Reservoir characterization is an important component of hydrocarbon exploration and production, which requires the integration of different disciplines for accurate subsurface modeling. This comprehensive research paper delves into the complex interplay of rock materials, rock formation techniques, and geological modeling techniques for improving reservoir quality. The research plays an important role dominated by petrophysical factors such as porosity, shale volume, water content, and permeability—as important indicators of reservoir properties, fluid behavior, and hydrocarbon potential. It examines various rock cataloging techniques, focusing on rock aggregation techniques and self-organizing maps (SOMs) to identify specific and
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The electrocardiogram (ECG) is the recording of the electrical potential of the heart versus time. The analysis of ECG signals has been widely used in cardiac pathology to detect heart disease. The ECGs are non-stationary signals which are often contaminated by different types of noises from different sources. In this study, simulated noise models were proposed for the power-line interference (PLI), electromyogram (EMG) noise, base line wander (BW), white Gaussian noise (WGN) and composite noise. For suppressing noises and extracting the efficient morphology of an ECG signal, various processing techniques have been recently proposed. In this paper, wavelet transform (WT) is performed for noisy ECG signals. The graphical user interface (GUI)
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In information security, fingerprint verification is one of the most common recent approaches for verifying human identity through a distinctive pattern. The verification process works by comparing a pair of fingerprint templates and identifying the similarity/matching among them. Several research studies have utilized different techniques for the matching process such as fuzzy vault and image filtering approaches. Yet, these approaches are still suffering from the imprecise articulation of the biometrics’ interesting patterns. The emergence of deep learning architectures such as the Convolutional Neural Network (CNN) has been extensively used for image processing and object detection tasks and showed an outstanding performance compare
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Background: Diabetes mellitus is one of the commonest chronic disorders worldwide with a rapid rise in prevalence. In Iraq its prevalence is high especially in elderly age group. Patients with type 2 diabetes mellitus have higher vulnerability for complications, whether microvascular or macrovascular. Ocular complications are common in diabetes mellitus, and comprise diabetic retinopathy, diabetic papillopathy, cataract, glaucoma, dry eye disease and diabetic keratopathy. Diabetic keratopathy involves endothelial and epithelial tissues of the cornea, leading to persistent epithelial defect, corneal erosion, or corneal ulcers.
Aim of the Study: To compare the mean corneal endothelial cell count between patients wi
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The objective of this research paper is two-fold. The first is a precise reading of the theoretical underpinnings of each of the strategic approaches: "Market approach" for (M. Porter), and the alternative resource-based approach (R B V), advocates for the idea that the two approaches are complementary. Secondly, we will discuss the possibility of combining the two competitive strategies: cost leadership and differentiation. Finally, we propose a consensual approach that we call "dual domination".
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