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  1. ABSTRACT

    We have used the Ultraviolet Imaging Telescope (UVIT) aboard AstroSat to study star formation in a sample of nine dual nuclei galaxies with separations ⪅ 11 kpc, which is an expected outcome of galaxy mergers. To minimize the contribution of active galactic nuclei (AGN) emission, we have used mid-IR colour cut-offs and masked the AGN-dominated nuclei. The UV continuum slope (β) is used to calculate the internal extinction (AV) which ranges from 0.53 to 4.04 in the FUV band and 0.44 to 3.10 in the NUV band for the sample. We have detected 1−20 star-forming clumps in our sample galaxies. The extinction-corrected total FUV star formation rate (SFR) ranges from ∼0.35 to ∼32 M⊙ yr−1. Our analyses of AV, specific SFR (sSFR) show that dual nuclei sources are associated with dusty, star-forming galaxies. The FUV − NUV colour maps show redder colour in the nuclear and disc regions while bluer colour is observed in the outskirts of most galaxies which can be due to embedded dust or different stellar populations. We have found some signatures of possible stellar/AGN feedback like a ring of star formation, a redder ring around blue nuclei, etc. However, further observations are required to confirm this.

     
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  2. Antona M., Stephanidis C. (Ed.)
    Block-based programming applications, such as MIT’s Scratch and Blockly Games, are commonly used to teach K-12 students to code. Due to the COVID-19 pandemic, many K-12 students are attending online coding camps, which teach programming using these block-based applications. However, these applications are not accessible to the Blind/Low Vision (BLV) population since they neither produce audio output nor are screen reader accessible. In this paper, we describe a solution to make block-based programming accessible to BLV students using Google’s latest Keyboard Navigation and present its evaluation with four individuals who are BLV. We distill our findings as recommendations to developers who may want to make their Block-based programming application accessible to individuals who are BLV. 
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