The new Azo ligand and its metal complexes have been prepared and characterized The reaction of 4-nitroaniline and 2-hydroxy-1-naphthaldehyde in a 1: 1 mole ratio resulted in the synthesis of ((E)-2-hydroxy-3-((4-nitrophenyl) diazenyl)-1-naphthaldehyde)(HL). The separation of monomeric complexes was accomplished by reacting ((E)-2-hydroxy-3-((4-nitrophenyl) diazenyl)-1-naphthaldehyde)(HL) with Cr, Mn II, Co II, Ni II, and Cu II metal ions in a mole ratio of 2: 1 (L: M). Elemental microanalysis, magnetic susceptibility, conductance, FT-IR, electronic spectra, and 1 HNMR, 13 C-NMR, and mass spectra were among the analytical and spectroscopic techniques used to describe the products. Based on the data collected during the characterization process, six coordinates were determined. The ligand and its complexes were tested against certain bacteria and fungi. The findings acquired suggested that the metal complexes are more active against a variety of organisms have been studied as compared to the free ligand.
Data generated from modern applications and the internet in healthcare is extensive and rapidly expanding. Therefore, one of the significant success factors for any application is understanding and extracting meaningful information using digital analytics tools. These tools will positively impact the application's performance and handle the challenges that can be faced to create highly consistent, logical, and information-rich summaries. This paper contains three main objectives: First, it provides several analytics methodologies that help to analyze datasets and extract useful information from them as preprocessing steps in any classification model to determine the dataset characteristics. Also, this paper provides a comparative st
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In the present paper, an eco-epidemiological model consisting of diseased prey consumed by a predator with fear cost, and hunting cooperation property is formulated and studied. It is assumed that the predator doesn’t distinguish between the healthy prey and sick prey and hence it consumed both. The solution’s properties such as existence, uniqueness, positivity, and bounded are discussed. The existence and stability conditions of all possible equilibrium points are studied. The persistence requirements of the proposed system are established. The bifurcation analysis near the non-hyperbolic equilibrium points is investigated. Numerically, some simulations are carried out to validate the main findings and obtain the critical values of th
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Carbon fibre reinforced polymers are widely used to strengthen steel structural elements. These structural elements are normally subjected to static, dynamic and fatigue loadings during their life-time. A number of studies have focused on the characteristics of CFRP sheets bonded to steel members under static, dynamic and fatigue loadings. However, there is a gap in understanding the bonding behaviour between CFRP laminates and steel members under impact loading. This paper shows the effect of different load rates from quasi-static to 300 × 103 mm/min on this bond. Two types of CFRP laminate, CFK 150/2000 and CFK 200/2000, were used to strengthen steel joints using Araldite 420 epoxy. The results show a significant bond strength enhancemen
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Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting AD
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