Background: Acute myeloid leukemia (AML) is a heterogeneous malignancy that responds to various therapies. The sensitivity of leukemia cells to chemotherapy is affected by the DNA damage response (DDR). In this study, we examined the association between RAD51 rs1801320, XRCC3 rs861539, NBS1 rs1805794, MRE11 rs569143, and RAD50 rs2299014 variants of the homologous recombination repair (HRR) pathway and AML outcomes.
View Article and Find Full Text PDFIn this study, we present the synthesis of a silver nanocomposite by utilizing a β-cyclodextrin (βCD) polymer anchored onto the surface of magnetic g-CN (referred to as g-CN-FeO/βCD-Ag). The structure and composition of the g-CN-FeO/βCD-Ag nanocomposite were thoroughly characterized using various techniques, including FT-IR, FE-SEM-EDS, TEM, TGA, XRD, ICP, and VSM. This catalytic system exhibited excellent selectivity in reducing nitro groups, even in the presence of other reactive functional groups, resulting in high yields ranging from 85 to 98%.
View Article and Find Full Text PDFBackground And Objectives: Nosocomial pneumonia caused by multidrug-resistant gram-negative bacteria presents a significant challenge for healthcare systems, as there are limited effective treatments available. This systematic review and meta-analysis aim to investigate the outcomes of colistin plus meropenem combination therapy on nosocomial pneumonia.
Materials And Methods: An exhaustive search of PubMed, Scopus, Web of Science (WOS), and Embase databases was conducted, resulting in the extraction of 5 studies for qualitative assessment and meta-analysis.
Background: Recent studies have focused on the connection between nutrition, inflammation, and infectious diseases. This study was conducted to investigate the relationship between the Mediterranean diet adherence score (MDS) and the healthy eating index (HEI) with some clinical findings of patients with COVID-19.
Methods: This case-control study was conducted in 29 Bahman hospital of Tabriz, Iran, from June to December 2022.
Hydrogen-based electric vehicles such as Fuel Cell Electric Vehicles (FCHEVs) play an important role in producing zero carbon emissions and in reducing the pressure from the fuel economy crisis, simultaneously. This paper aims to address the energy management design for various performance metrics, such as power tracking and system accuracy, fuel cell lifetime, battery lifetime, and reduction of transient and peak current on Polymer Electrolyte Membrane Fuel Cell (PEMFC) and Li-ion batteries. The proposed algorithm includes a combination of reinforcement learning algorithms in low-level control loops and high-level supervisory control based on fuzzy logic load sharing, which is implemented in the system under consideration.
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