Publications by authors named "P V Sudeep"

Objectives:  Bulk-filled composite resins are popularly used for posterior restorations due to various advantages. Routine oral hygiene measures like toothbrushing and the use of various mouthrinses can influence the mechanical properties of composite resins. Desensitizing mouthrinses are widely used as well, to manage dentinal hypersensitivity.

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Despite decades of research, metallic corrosion remains a long-standing challenge in many engineering applications. Specifically, designing a material that can resist corrosion both in abiotic as well as biotic environments remains elusive. Here a lightweight sulfur-selenium (S-Se) alloy is designed with high stiffness and ductility that can serve as an excellent corrosion-resistant coating with protection efficiency of ≈99.

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Materials can suffer mechanical fatigue when subjected to cyclic loading at stress levels much lower than the ultimate tensile strength, and understanding this behaviour is critical to evaluating long-term dynamic reliability. The fatigue life and damage mechanisms of two-dimensional (2D) materials, of interest for mechanical and electronic applications, are currently unknown. Here, we present a fatigue study of freestanding 2D materials, specifically graphene and graphene oxide (GO).

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The transformation from semiconducting to metallic phase, accompanied by a structural transition in 2D transition metal dichalcogenides has attracted the attention of the researchers worldwide. The unconventional structural transformation of fluorinated WS (FWS ) into the 1T phase is described. The energy difference between the two phases debugs this transition, as fluorination enhances the stability of 1T FWS and makes it energetically favorable at higher F concentration.

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Article Synopsis
  • Retinal cysts are formed due to fluid accumulation from inflammation or vitreous fractures, which can impact the diagnosis and treatment of eye diseases like age-related macular degeneration and diabetic macular edema.
  • The study aims to compare various automated segmentation algorithms for detecting intra-retinal cysts, utilizing a standardized approach and publicly available datasets for consistent analysis.
  • Results indicate that factors such as signal-to-noise ratio, retinal layer structure, and post-processing techniques significantly affect the performance of automated cyst segmentation methods, offering valuable insights for improving diagnostic practices in retinal pathology.
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