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    <link>http://hdl.handle.net/2080/17</link>
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        <rdf:li rdf:resource="http://hdl.handle.net/2080/5996" />
        <rdf:li rdf:resource="http://hdl.handle.net/2080/5995" />
        <rdf:li rdf:resource="http://hdl.handle.net/2080/5994" />
        <rdf:li rdf:resource="http://hdl.handle.net/2080/5993" />
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    <dc:date>2026-11-11T15:21:01Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/2080/5996">
    <title>Simulation of Extreme Rainfall Events Using the Indian Ocean-Land- Atmospheric (IOLA) Coupled Modeling Framework</title>
    <link>http://hdl.handle.net/2080/5996</link>
    <description>Title: Simulation of Extreme Rainfall Events Using the Indian Ocean-Land- Atmospheric (IOLA) Coupled Modeling Framework
Authors: Rajith, K; Osuri, K K
Abstract: In the context of global warming, the extreme rainfall frequency and intensity have significantly increased. Such events often trigger floods and landslides, causing severe damage to human life, infrastructure, and socio-economic assets. As defined by the India Meteorological Department (IMD), a cloudburst is high-intensity rainfall exceeding 100 mm/hr at a station or over a 20-30 sq km area. This study analyzes heavy rainfall events, including the cloudburst event, using the latest Indian Ocean Land Atmosphere (IOLA) coupled model. The IOLA model experiments are performed in two modes, with and without ocean coupling. The results show that the IOLA model well simulates cloudburst events with minimal spatial and temporal errors. The ocean-coupled simulation of the IOLA model yields better results than the uncoupled simulation: rainfall intensity prediction improves, and the thermodynamic parameters, especially omega and the 2 m surface temperature, are improved. The skill score tests also indicate that the IOLA model consistently simulates well, with better scores (&gt;0.4 for lower thresholds &lt;10 mm and &gt;0.2 for higher thresholds &gt;10 mm). The Skill score tests also show that, after coupling the IOLA model, rainfall prediction skills improve by ~10-15%. Overall, the coupled IOLA model simulation can help to improve predictions of heavy rainfall events and cloudbursts. Overall, this study provides valuable insights for the modeling community, enhancing understanding of cloudburst dynamics through an advanced coupled Ocean–Land–Atmosphere modeling framework.
Description: Copyright belongs to proceeding publisher</description>
    <dc:date>2026-10-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2080/5995">
    <title>Piperlongumine Targets BIRC5 to Suppress Oral Squamous Cell Carcinoma: An Integrated Computational and Experimental Study</title>
    <link>http://hdl.handle.net/2080/5995</link>
    <description>Title: Piperlongumine Targets BIRC5 to Suppress Oral Squamous Cell Carcinoma: An Integrated Computational and Experimental Study
Authors: Behera, Sachidananda; Khamari, Ashish Kumar; Biswal, Bijesh Kumar
Abstract: Oral squamous cell carcinoma (OSCC) is still a major clinical problem and need an effective and selective therapeutic agent. Piperlongumine (PIP), a bioactive alkaloid of Piper longum, has been shown to have anticancer activity in OSCC, although molecular targets and mechanisms are still not known completely. In this study, an integrated bioinformatics, computational and experimental approaches were used to investigate the anti-cancer potential of PIP. Common OSCC-associated DEGs were detected from three OSCC gene expression datasets, and protein-protein interaction and functional enrichment analyses were subsequently performed. The PIP-related targets were prioritized using molecular docking, molecular dynamics simulation, MM/PBSA, free-energy landscape, and ADMET analyses. The findings were then confirmed with 2D and 3D culture of SCC9 and H357 tumor cells. Among the 444 OSCC-associated DEGs, BIRC5, CDK1, BUB1, BIRC5, and KIF23 were determined as hub genes of which all except MAD2L1 were linked to poor patient survival. MD simulation and MM/PBSA showed that BIRC5 has a stable free-energy landscape and favourable binding energy (-102.938 ± 5.488 kJ/mol). PIP selectively suppressed OSCC growth, enhanced ROS production, reduced MMP led to DNA damage, G2/M arrest and apoptosis, and down-regulated the expression of hub-gene, suggesting BIRC5 as a potential molecular target.
Description: Copyright belongs to proceeding publisher</description>
    <dc:date>2026-10-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2080/5994">
    <title>Experimental Investigation of Red Mud Properties Through XRD, XRF, FTIR, ICP-OES, and BET Analysis</title>
    <link>http://hdl.handle.net/2080/5994</link>
    <description>Title: Experimental Investigation of Red Mud Properties Through XRD, XRF, FTIR, ICP-OES, and BET Analysis
Authors: Pathlavath, Kashinath; Ala, Charan Kumar
Abstract: Red mud is an alkaline waste material generated while processing aluminium by using Bayer process. Red mud is defined as a “High Volume Low Effect Waste” under the Hazardous and Other Wastes (Management and Transboundary Movement) Rules, 2016. Even though, the effects of red mud are low, the utilization is limited. To properly understand the characteristics of the red mud waste material being studied, it is imperative that its physicochemical, mineralogical, elemental, and surface properties be thoroughly assessed. In this study, a systematic experimental approach is used to investigate the red muds characteristics using X-ray diffraction (XRD), X-ray fluorescence (XRF), Fourier Transform Infrared Spectroscopy (FTIR), Inductively Coupled Plasma – Optical Emission Spectroscopy (ICP-OES), and Brunauer–Emmett–Teller (BET) surface area analyser techniques. These combined results from the various analytical techniques yield valuable insights into the physical, chemical, and surface characteristics of red mud, which will be helpful in understanding its possibility of mass utilization in mine backfilling’s.
Description: Copyright belongs to proceeding publisher</description>
    <dc:date>2026-10-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2080/5993">
    <title>First-Principles Analysis of Monolayer 1T′-WTe2 as the Narrow Bandgap 2D Semiconductor for Infrared Photodetection</title>
    <link>http://hdl.handle.net/2080/5993</link>
    <description>Title: First-Principles Analysis of Monolayer 1T′-WTe2 as the Narrow Bandgap 2D Semiconductor for Infrared Photodetection
Authors: Sravanthi, Panga; Saha, Sumit
Abstract: The distinctive material properties of monolayer 1T′Tungsten Ditelluride (WTe2) have drawn a lot of interest in optoelectronics. In this study, first-principle DFT calculations are carried out to examine the charge distribution and optical characteristics of monolayer 1T′-WTe2. The obtained results are further used to determine its potential for infrared photodetectors applications. It is found that the material has a narrow energy band gap, which indicates electronic transitions in the infrared spectral region. Moreover, optical spectrum measurements dis-play a distinct optical response along parallel and perpendicular directions. The material shows anisotropies and a high absorption coefficient in the infrared range. These features make the material a very good choice for infrared photodetection applications.
Description: Copyright belongs to proceeding publisher</description>
    <dc:date>2026-10-01T00:00:00Z</dc:date>
  </item>
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