Publications by authors named "T S Saranya"

Aim And Objectives: To characterize and analyze the structural presentation of a new denture base copolymer with a spiro-acetal cross-linker at 10 and 20 wt.% concentrations by nuclear magnetic resonance (NMR) and field emission scanning electron microscopy-energy-dispersive X-ray (FESEM-EDX) spectroscopies. Also, to evaluate the glass transition temperature (T) of the new copolymer.

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Accurate pest classification plays a pivotal role in modern agriculture for effective pest management, ensuring crop health and productivity. While Convolutional Neural Networks (CNNs) have been widely used for classification, their limited ability to capture both local and global information hinders precise pest identification. In contrast, vision transformers have shown promise in capturing global dependencies and enhancing classification performance.

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Nisin, a thermostable, approved food preservative, has limited therapeutic applications because of its high pH and proteolytic enzyme instability. The unavailability of a rapid, simple method of detection also restricts the research of nisin. The objective of this study was to adapt the simple, rapid protein estimation method of detection for nisin formulation and to formulate and evaluate site-specific nanoformulation for therapeutic applications, viz.

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Article Synopsis
  • - The study examines the prevalence of endometrial malignancies in asymptomatic post-menopausal women with a thickened endometrium, involving 72 participants who underwent trans-vaginal ultrasound and subsequent histopathological analysis.
  • - Results showed that 72.22% of cases were benign, while 18.05% were pre-malignant and 9.72% were malignant, indicating no clear correlation between endometrial thickness and lesion type.
  • - The findings highlight the importance of further evaluation for thickened endometria in post-menopausal women, regardless of risk factors, due to the significant occurrence of pathological conditions.
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Groundwater vulnerability assessment using the fuzzy logic technique is attempted in this study. A hierarchical fuzzy inference system is created to serve the selected objective. The parameters considered in this study are similar to the seven parameters used in conventional DRASTIC methods; however, the effect of land use and land cover is studied by including it as an additional parameter in a model.

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