Publications by authors named "B Yuva Priya"
Article Synopsis
- Neurological disorders (NDs) like Alzheimer's, Parkinson's, and ischemic stroke are serious conditions that currently lack effective treatments to slow their progression.
- Stilbenes, a group of natural compounds including resveratrol, have shown promise in protecting the nervous system by influencing cellular pathways involved in neurodegeneration.
- While preclinical studies suggest beneficial effects of stilbenes, especially resveratrol, clinical research is still limited and variable, highlighting the need for more targeted studies to fully understand their therapeutic potential.
Article Synopsis
- Color stability is vital in restorative dentistry, influencing both the durability and aesthetic quality of dental restorations, with nanoparticle-rich composites expected to perform better in this regard.
- The study aimed to evaluate and compare how different esthetic restoration materials change color after being submerged in various antioxidant beverages, including pomegranate, beetroot, black plum juices, and distilled water, over a 21-day period.
- Results indicated that both microhybrid and nanohybrid composites experienced color changes, with microhybrid composites showing greater discoloration overall, especially when exposed to black plum juice.
Article Synopsis
- Glioblastoma multiforme (GBM) is a highly aggressive brain tumor with limited treatment options, and TMZ, the current standard drug, has been criticized for its minimal impact on survival and frequent relapses.
- The study investigates new phenothiazine-based inhibitors targeting Tousled-like kinase-1 (TLK1), which is overexpressed in GBM and contributes to DNA repair, potentially enhancing the efficacy of TMZ.
- Results show that the combination of phenothiazines with TMZ reduces tumor growth and invasion in MGMT-deficient cells, while also increasing DNA damage, suggesting TLK1 inhibitors could be a promising new treatment for GBM patients.
Aim: This study aims to evaluate the microleakage between the gingival seat and base material and to assess the interface integrity between the base material and overlying composite in class II cavities restored using deep margin elevation.
Materials And Methods: Thirty maxillary molars ( = 30) were taken, and class II cavities were prepared with a gingival seat extending below the cementoenamel junction. These teeth were divided into three groups for subgingival margin elevation using different materials: Group A ( = 10) - flowable composite, Group B ( = 10) - glass ionomer cement (GIC), and Group C ( = 10) - GIC with nanohydroxyapatite (GIC n-HAp).
This research study aims to understand the application of Artificial Neural Networks (ANNs) to forecast the Self-Compacting Recycled Coarse Aggregate Concrete (SCRCAC) compressive strength. From different literature, 602 available data sets from SCRCAC mix designs are collected, and the data are rearranged, reconstructed, trained and tested for the ANN model development. The models were established using seven input variables: the mass of cementitious content, water, natural coarse aggregate content, natural fine aggregate content, recycled coarse aggregate content, chemical admixture and mineral admixture used in the SCRCAC mix designs.
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