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).
The primary objective of the current paper is to suggest and implement effective computational methods (DECMs) to calculate analytic and approximate solutions to the nonlocal one-dimensional parabolic equation which is utilized to model specific real-world applications. The powerful and elegant methods that are used orthogonal basis functions to describe the solution as a double power series have been developed, namely the Bernstein, Legendre, Chebyshev, Hermite, and Bernoulli polynomials. Hence, a specified partial differential equation is reduced to a system of linear algebraic equations that can be solved by using Mathematica®12. The techniques of effective computational methods (DECMs) have been applied to solve some s
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'Steganography is the science of hiding information in the cover media', a force in the context of information sec, IJSR, Call for Papers, Online Journal
Water quality sensors have recently received a lot of attention due to their impact on human health. Due to their distinct features, environmental sensors are based on carbon quantum dots (CQDs). In this study, CQDs were prepared using the electro-chemical method, where the structural and optical properties were studied. These quantum dots were used in the environmental sensor application after mixing them with three different materials: CQDs, Alq3 polymer and CQDs and Alq3 solutions using two different methods: drop casting and spin coating, and depositing them on silicon. The sensitivity of the water pollutants was studied for each case of the prepared samples after measuring the change in resistance of the samples at a temperature of
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Moderately, advanced national election technologies have improved political systems. As electronic voting (e-voting) systems advance, security threats like impersonation, ballot tampering, and result manipulation increase. These challenges are addressed through a review covering biometric authentication, watermarking, and blockchain technologies, each of which plays a crucial role in improving the security of e-voting systems. More precisely, the biometric authentication is being examined due to its ability in identify the voters and reducing the risks of impersonation. The study also explores the blockchain technology to decentralize the elections, enhance the transparency and ensure the prevention of any unauthorized alteration or
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The Recent days witness an in creasing importanc of Islamic Banks which stems from the wide spread in Islamic and non-Islamic countries,Especially in USA and European countries.the consideration in Islamic Banks came after the financial crisis in 2008.Islamic Banks work with conventional banks in most countries,that is,the formers may face the same risks which face the latters,that represent the larger percent of the International Banking system.the problms that may affect Islamic Banks related to many causes,some related to the working in common economic environment.others related to the possibility of simulation to the method of investment and financing in conventional Banks,this mean,the work with principles not compling with
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Semi-parametric models analysis is one of the most interesting subjects in recent studies due to give an efficient model estimation. The problem when the response variable has one of two values either 0 ( no response) or one – with response which is called the logistic regression model.
We compare two methods Bayesian and . Then the results were compared using MSe criteria.
A simulation had been used to study the empirical behavior for the Logistic model , with different sample sizes and variances. The results using represent that the Bayesian method is better than the at small samples sizes.
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Background: Coronavirus, which causes respiratory illness, has been a public health issue in recent decades. Because the clinical symptoms of infection are not always specific, it is difficult to expose all suspects to qualitative testing in order to confirm or rule out infection as a test. Methods: According to the scientific studies and investigations, seventy-three results of scientific articles and research were obtained using PubMed, Medline, Research gate and Google Scholar. The research keywords used were COVID-19, coronavirus, blood parameters, and saliva. Results: This review provides a report on the changes in the blood and saliva tests of those who are infected with the COVID-19.COVID-19 is a systemic infection that has
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