Publications by authors named "S Gurumurthy"

Background: The slow breeding cycle presents a significant challenge in legume research and breeding. While current speed breeding (SB) methods promise faster plant turnover, they encounter space limitations and high costs. Enclosed environments risk pest and disease outbreaks, and supplying water and electricity remains challenging in many developing nations.

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  • This study investigates the measurement of residual stress in titanium samples created through wire-arc additive manufacturing (WAAM) using phased array ultrasonics, a non-destructive technique.
  • The research verifies these ultrasonic results with the contour method (CM), allowing for a comparison of the two techniques on Ti-6Al-4V samples.
  • The findings demonstrate that phased array ultrasonics effectively measures residual stress and shows improved accuracy by averaging results, suggesting it could be more beneficial than other existing methods for WAAM components.
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Background: Machine Learning (ML) has demonstrated potential in enhancing care in adult oncology. However, its application in paediatric haematological malignancies is still emerging, necessitating a comprehensive review of its capabilities and limitations in this area.

Methods: A literature search was conducted through Ovid.

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  • A study aimed to differentiate between chronic ocular Stevens-Johnson syndrome non-responders (SJS-NR) and responders (SJS-CR), analyzing their cytokine profiles for better understanding and treatment options.
  • Researchers analyzed tear samples from 32 SJS patients (24 responders and 8 non-responders) and 25 healthy controls, focusing on differences in 27 cytokines to identify inflammation markers.
  • The study found significant differences in cytokine expression between SJS-NR and SJS-CR, suggesting that non-responders have a pro-inflammatory environment that hampers corneal healing, with PDGF-BB, IL-4, IL-10, and IL-6 identified as potential biomarkers for
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  • The article describes a simple method to create silver nanoparticles (Ag NPs) embedded in a graphene oxide and cross-linked polyvinyl alcohol (PVA) matrix, which is treated with gamma radiation.
  • It was found that the thermal conductivity ('k') of the samples first decreases with radiation doses up to 5 kGy and then increases at higher doses, indicating that gamma irradiation affects the material's structural properties.
  • The PVA/GO-Ag/GA composite exhibits low thermal conductivity and strong electrical insulation, making it suitable for applications in thermal management, such as thermal insulation for microsensors and wire insulation in nuclear reactors.
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