Publications by authors named "H A Rezk"
The current study aimed to investigate the therapeutic potential of a novel benzimidazole derivative (BMPE) and a prebiotic bacterial levan (LevAE) against triple-negative breast cancer (TNBC) in a 4T1-cell syngeneic mouse model and to elucidate the immunological and molecular mechanisms underlying the phenotypic changes observed in treated tumors. The metastatic TNBC model was successfully established by subcutaneous inoculation of 100 μl of 4T1 cell suspension (~6000 cells) in the mammary glands of adult female BALB/c mice after brief immunosuppression one day before cell implantation. The therapeutic efficacy of BMPE and LevAE was biochemically, immunologically, and immunohistochemically evaluated.
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- Worsening renal function (WRF) is common in patients with acute decompensated heart failure (ADHF) and indicates a higher risk of negative outcomes, with a potential connection to abdominal congestion that needs further investigation.
- A study involving 100 ADHF patients assessed factors like intra-abdominal pressure and splenic Doppler indices to predict WRF, defining it as a rise in serum creatinine levels.
- Results showed that 37% of patients developed WRF, with significant predictors identified as high splenic resistivity index, elevated intra-abdominal pressure, and low left ventricular ejection fraction during hospitalization.
Direct methanol fuel cells (DMFCs) are promising form of energy conversion technology that have the potential to take the role of lithium-ion batteries in portable electronics and electric cars. To increase the efficiency of DMFCs, many operating conditions ought to be optimized. Developing a reliable fuzzy model to simulate DMFCs is a major objective.
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- PEM fuel cells (FCs) are important for clean energy solutions due to their efficiency and environmental benefits, and this study focuses on improving their power output using Adaptive Neuro-Fuzzy Inference System (ANFIS) and optimization algorithms.
- An ANFIS model is created to simulate the PEM-FC's output power density, factoring in variables like pressure, humidity, and membrane compression; the Salp swarm algorithm (SSA) is then used to optimize these input parameters.
- Results show that SSA outperforms other optimization methods, achieving the highest power density of 716.63 mW/cm, with strong model validation indicated by low RMSE values and high coefficients of determination.
This study suggests a new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy from detecting the prey until the swoop stage. There are three stages during the hunting process.
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