Bismuth oxide nanoparticle Bi2O3NPs has a wide range of applications and less adverse effects than conventional radio sensitizers. In this work, Bi2O3NPs (D1, D2) were successfully synthesized by using the biosynthesis method with varying bismuth salts, bismuth sulfate Bi2(SO4)3 (D1) or bismuth nitrate. Penta hydrate Bi(NO3)3.5H2O (D2) with NaOH with beta-vulgaris extract. The Bi2O3NPs properties were characterized by different spectroscopic methods to determine Bi2O3NPs structure, nature of bonds, size of nanoparticle, element phase, presence, crystallinity and morphology. The existence of the Bi2O3 band was verified by the FT-IR. The Bi2O3 NPs revealed an absorption peak in the UV-visible spectrum, with energy gap Eg = 3.80eV. The X-ray pattern (D1) matching that of card of COD File-No-96-152-6459 indicating the presence of homogeneous Bi2O3NPs, Scaning Electron Microscopy (SEM) displayed shaped monoclinic phase with average diameter 30.28 nm. The size, structure and composition of synthetic Bi2O3 Nps were determined using the (EDX) pattern. The XRD pattern (D2) corresponds to JCPDS File No. 27-50. The SEM of D2 showed crystalline rhomobohedrral phase with average diameter 34.89 nm. The EDX for both (D1, D2) samples reveals an aggregation of thin sheet cluster. The antibacterial activity of Bi2O3NPs from (D1, D2) was tested against (G-) Escherichia coli and (G+) staphylococcus aureus. All of these clinical pathogens were examined for antifungal activity against Candida albicans fungus, and the results were compared with the standard medication. The adsorption experiment was successfully conducted on the following metal ions (M+2 = Co, Ni and Cu), where the results proved removal simultaneously from water using Bi2O3NPs (D1, D2) based on the affinity of three metal ions and Bi2O3 NPs surface shape. The removal efficiencies of mixed (M+2 = Co, Ni and Cu) ions for D1 were 89.68%, 85.56% and 94.5%. The removal efficiencies for D2 were 93.3%, 87.7% and 88.54%, respectively.
Sickle cell disease (SCD) is a hereditary ailment that can cause severe pain and suffering to people who are affected. However, with continued investment in research and treatment options, we can make progress towards improving the lives of those with SCD. Over 40% of patients experience painful vaso-occlusive crises (VOCs), so we must work towards finding solutions and providing support for those living with this condition, These episodes, a hallmark of SCD, significantly contribute to morbidity, mortality, and a diminished quality of life, while also incurring substantial healthcare costs. Chronic pain particularly affects older adolescents and adults with SCD, with over half reporting daily discomfort. Opioid-based analgesics, though sti
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The purpose of the current article lies in determining the impact of the suggestive exercises on the development of the mental capabilities of children. The researchers used the experimental method with a single-group design, which was appropriate for the core of the current article . The study samble has been specified as children aged 4-6 years in Umm Al-Rabi'een Kindergarten, with a total of 95 children. The study samble (15 children) was randomly selected. . After the exercises were completed, the post-tests have been carried out on the sample with similar circumstances as that of pre-tests. Researchers used statistical methods in the SPSS program. After the results were presented, analyzed, and discussed, The resear
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Arabian killifish,
In this study, the staging of normal embryonic development of
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The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of
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