Publications by authors named "M Ameenudeen Sultan"

The self-assembly of phenylalanine (F)-based peptides is a critical area of research with potential implications for the development of advanced biomaterials and technologies. Previous studies indicate that homo-oligopeptides with F-X residues (X = 1 to 6) can self-assemble into diverse nano-microstructures, but the role of oligopeptide chain length on this process remains unclear. This review investigates the role of F-X chain length on self-assembly processes and morphologies, considering the effect of incubation conditions and the capping group at the N and/or C terminals.

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Background: The factors influencing nurses' knowledge of delirium in acute care settings have not been fully investigated in Saudi Arabia. Therefore, this study aimed to investigate these factors among nurses in acute care settings in the northern region of Saudi Arabia.

Methodology: A cross-sectional study was conducted using a convenience sample of 234 acute care nurses at the main public hospitals in the Hail region of Saudi Arabia.

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The widespread presence of polycyclic aromatic hydrocarbons (PAHs) and toxic heavy metals in soils is having harmful effects on food crops and the environment. However, the defense mechanisms and capacity of plants to counteract these substances have not been comprehensively explored, necessitating a systematic categorization of their inhibitory effects. Accordingly, an experimental investigation was conducted to examine the growth and physiological response of maize ( L.

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Perivascular epithelioid cell tumors (PEComas) are rare mesenchymal neoplasms, commonly found in the uterus and retroperitoneum. Renal PEComas are exceedingly rare, often posing diagnostic challenges due to their resemblance to renal cell carcinoma (RCC) on imaging. We present the case of an 18-year-old male who presented with non-specific symptoms of fever, chills, and shivering.

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Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. Traditional breath-held imaging protocols, however, pose challenges for patients with arrhythmias or limited breath-holding capacity. We introduce Motion-Guided Deep Image prior (M-DIP), a novel unsupervised reconstruction framework for accelerated real-time cardiac MRI.

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