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).
A 3D Geological model was generated using an advanced geostatistical method for the Cretaceous reservoir in the Bai Hassan oil field. In this study, a 3D geological model was built based on data from four wells for the petrophysical property distribution of permeability, porosity, water saturation, and NTG by using Petrel 2021 software. The geological model was divided into a structural model and a property model. The geological structures of the cretaceous reservoir in the Bai Hassan oil field represent elongated anticline folds with two faults, which had been clarified in the 3D Structural model. Thirteen formations represent the Cretaceous reservoir which includes (Shiranish, Mashurah, U.kometan, Kometan Shale, L. Kometan, Gulnen
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Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
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The aim of this study is to develop a novel framework for managing risks in smart supply chains by enhancing business continuity and resilience against potential disruptions. This research addresses the growing uncertainty in supply chain environments, driven by both natural phenomena-such as pandemics and earthquakes—and human-induced events, including wars, political upheavals, and societal transformations. Recognizing that traditional risk management approaches are insufficient in such dynamic contexts, the study proposes an adaptive framework that integrates proactive and remedial measures for effective risk mitigation. A fuzzy risk matrix is employed to assess and analyze uncertainties, facilitating the identification of disr
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The study seeks the relationship between the mathematical-procedural Knowledge and the logical-mathematical intelligence among students at the third stage in mathematics department. To this end, three questions were arisen: what is the level of mathematical-procedural Knowledge among the third stage students in mathematics department regarding their gender? Do male or female students have more logical-mathematical intelligence and are there significant differences base on their gender? What kind of correlation is between the level of mathematical-procedural Knowledge and the logical-mathematical intelligence of male and female students in the third stage in the mathematics department? A sample of (75) male and female students at the thir
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There is a theoretical controversy in the books of Usul al-Fiqh, in the past and the present, about whether the ruling should be attached to its reason (al-Hikmah), or its apparent and stable cause (al-Illah). Looking at the practical cases of the jurists, we found them sometimes attaching rulings to its reason, and sometimes to its cause, so there is a need to know the factors that affect their choices. By extrapolation, the researcher reached at nine factors that affect referring the ruling to its cause or to its reason in jurisprudential cases.
The aim of this paper is to derive a posteriori error estimates for semilinear parabolic interface problems. More specifically, optimal order a posteriori error analysis in the - norm for semidiscrete semilinear parabolic interface problems is derived by using elliptic reconstruction technique introduced by Makridakis and Nochetto in (2003). A key idea for this technique is the use of error estimators derived for elliptic interface problems to obtain parabolic estimators that are of optimal order in space and time.
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A paraffin wax and copper foam matrix were used as a thermal energy storage material in the double passes air solar chimney (SC) collector to get ventilation effect through daytime and after sunset. Air SC collector was installed in the south wall of an insulated test room and tested with different working angles (30o, 45o and 60o). Different SC types were used; single pass, double passes flat plate collector and double pass thermal energy storage box collector (TESB). A computational model based on the finite volume method for transient tw dimensional domains was carried out to describe the heat transfer and storage in the thermal energy storage material of collector. Also, equivalent specific heat metho
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