Anatomical Variations in Nasal Cavities and Paranasal Sinuses on Computed Tomography in Chronic Rhinosinusitis: Implications for Diagnosis and Treatment.

Chronic rhinosinusitis is a prevalent condition characterized by inflammation of the nasal and paranasal sinus cavities, significantly impacting quality of life and healthcare utilization. Computed tomography imaging is vital in assessing anatomical variations that may contribute to chronic rhinosinusitis pathogenesis. This study aimed to identify anatomical variations in the nasal cavities and paranasal sinuses using CT imaging and explore their relationship with sinus mucosal abnormalities.

Frequencies of different blood group antigens and phenotypes in Northern Vietnamese donors.

Background And Objectives: Blood safety is the top priority in transfusion medicine. However, patients in Vietnam are only transfused with ABO and RhD compatible blood products, which could pose a threat to induce alloimmunization. This study was performed to provide information about the frequencies of antigens and phenotypes of clinically significant blood groups in Vietnamese donors.

Umbilical cord blood-derived platelet-rich plasma as a coating substrate supporting cell adhesion and biological activities of wound healing.

Background: Platelet-rich plasma (PrP) is a blood derivative with positive roles in regenerative medicine, particularly in wound healing. Evidence has been reported for using peripheral blood-derived PrP in disease treatments, but umbilical cord blood (UCB)-derived PrP remains limited. Thus, we investigate the roles of UCB-derived PrP in cellular behaviours in vitro and in wound healing in vivo models.

From Data to Insights: Modeling Urban Land Surface Temperature Using Geospatial Analysis and Interpretable Machine Learning.

This study introduces an innovative machine learning method to model the spatial variation of land surface temperature (LST) with a focus on the urban center of Da Nang, Vietnam. Light Gradient Boosting Machine (LightGBM), support vector machine, random forest, and Deep Neural Network are employed to establish functional relationships between urban LST and its influencing factors. The machine learning approaches are trained and validated using remote sensing data from 2014, 2019, and 2024.

Tissue-specific modulation of NADH consumption as an anti-aging intervention in Drosophila.

Aging is characterized by extensive metabolic dysregulation. Redox coenzyme nicotinamide adenine dinucleotide (NAD) can exist in oxidized (NAD) or reduced (NADH) states, which together form a key NADH/NAD redox pair. Total levels of NAD decline with age in a tissue-specific manner, thereby playing a significant role in the aging process.