Rishabh chadha biography templates

  • Josh B. van Kampen MBA sits down with Emily Ekert, the Commercial Manager of Rowing Australia, to explore her dynamic career in sports administration.
  • Experience: Trinity College Dublin · Education: University of Galway.
  • UT Dallas CourseBook is an advanced tool for obtaining information about classes at The University of Texas at Dallas (UTD).

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    Welcome to the Arizona Science Center

    Congratulations To All Of The Participating Students Who Dedicated Their Hard Work And Effort To Each Entry.  

    Each year since 2008, AzSEF brings together Arizona’s most innovative students from across the state and showcases their imagination, nyhet, and wonder about the world around us. Even in this unprecedented year of virtual, hybrid, and in-person classes, the students have demonstrated innovation and problem-solving in order to seek the answers to their questions.

    Thank you to the teachers, parents, families, and mentors for the encouragement and support you have provided the students this year. 

    CategoryProject IDStudentProject Title
    Animal Science
    1EL-AS-010Walker, Scarlett-ElizabethHay or Nay: Can Coca-Cola Cure Choke?
    2EL-AS-009Moreno, SebyDesert Tortoise Tool
    3EL-AS-003Marr, NoahCustomizable Fish Tank Purifier
    Behavioral & Social Science
    1EL-BE-002Chislett, Miabe

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    Journal articles

    1. Augmenting insect olfaction performance through nano-neuromodulation
      P. Gupta, R. Chandak, A. Debnath, M. Traner, B. M. Watson, H. Huang, H. G. Derami, H. Baldi, S. Chakrabartty, B. Raman†, S. Singamaneni†
      Nature Nanotechnology 2024; https://doi.org/10.1038/s41565-023-01592-z
    2. Serotonergic amplification of odor-evoked neural responses maps flexibly onto behavioral outcomes
      Y. Bessonova and B. Raman†
      eLife 12:RP91890https://doi.org/10.7554/eLife.91890.1
    3. Conserved neural dynamics and computations across species in olfaction
      D. Ling, E. H. Moss, C. L. Smith, R. Kroeger, J. L. Reimer, B. Raman, B. R. Arenkiel
      bioRxiv 2023.04.24.538157; doi: https://doi.org/10.1101/2023.04.24.538157
    4. Adaptation invariant concentration discrimination in an insect olfactory system
      D. Ling, L. Zhang, D. Saha, A. B. Chen and B. Raman†
      eLife12:RP89330https://doi.org/10.7554/eLife.89330.1
    5. Neural manifolds for odor-driven innate and acq

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      Automatic Fact-Checking with Frame-Semantics

      Jacob Devasier, Rishabh Mediratta, Akshith Putta, Chengkai Li
      University of Texas at Arlington
      cli@uta.edu

      Abstract

      We propose a novel paradigm for automatic fact-checking that leverages frame semantics to enhance the structured understanding of claims, addressing the challenges posed by misinformation in today’s information ecosystem. To support this approach, we introduce a pilot dataset of real-world claims extracted from PolitiFact, specifically annotated for large-scale structured data. This dataset underpins two case studies: the first investigates voting-related claims using the Vote semantic frame, while the second explores various semantic frames and data sources from the Organisation for Economic Co-operation and Development (OECD). Our findings demonstrate the effectiveness of frame semantics in improving evidence retrieval, indicating a meaningful advancement in automatic fact-checking capabilities. Finally, we conducte

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