@@ -1,1 +1,1 @@ - +A software developer at SZ indicated "Developing an extensible app saved us so much time when reusing the solution for different applications". However, there are unwritten restrictions and a mutual understanding among competing partner companies to not reveal too much to each other. Many companies may collect years of such data and expect some value from it. Most employees recruited on the team were PhD students or postdoctoral fellows with a work contract of 2-3 years enabling long terms stability in the project. However, very often industrial partners need a good reason to share data, which is considered to be intellectual property and often can take several years to curate. However, such communication between projects, especially spread in time, is also contingent on the clauses of an intellectual property rights agreement (if one exists). Benefits: Establishing a legal framework such as a consortium agreement or a patent can simplify the collaboration and stem doubts that may arise around ownership of intellectual property. We propose a physics and data co-driven surrogate model framework for temperature field prediction on irregular domains<br><br>33), we constructed a matched comparison sample of KR2 galaxies located within the high-density regions flanking the void. In all cases, the authors conclude that there are no major differences when comparing metal abundances between galaxies in voids and those located in denser regions. In fact, the evidence tends to support just the opposite conclusion: the properties of the KR2 galaxies located in the Boötes Void are quite similar to those found in the high-density regions nearby. If there are any environment-driven differences between galaxies located in the high- and low-density regions these two samples should be able to reveal them. 2018) propose that O/H values of low-luminosity dwarfs found in nearby voids are systematically lower than those found in higher density regions. FLOATSUBSCRIPT color, and 39.5% for the log(SFR) values being drawn from the same parent population of objects. However, when exploring whether or not the local environment has an impact on the star-formation properties of galaxies, one must carefully control for these population differences. By matching the redshift distributions in this way, we effectively eliminate any distance-related biases that might affect the properties of the two samples. ∼ -19.0 (panel d) even though the overall distributions for the void and high-density luminosities are quite similar<br><br>While we do find a weak trend of decreasing stellar mass (and a corresponding decrease in B-band absolute magnitude) with decreasing density, we do not find any indication that the metallicity of galaxies or their SFRs depend on environment. FLOATSUBSCRIPT color, oxygen abundance, B-band absolute magnitude, stellar mass, and SFR for the KR2 galaxies in the Boötes Void overlaid with the same parameters for the high-density sample. KISS (KR2) catalog. In the second we identify the KR2 star-forming galaxies located within the Boötes Void and compare directly their properties with a matched comparison sample of KR2 galaxies located in nearby high-density regions. Many studies have found that galaxies in voids show systematically higher equivalent width emission lines (e.g., Grogin & Geller, 2000) and higher SFRs and sSFRs (e.g., Rojas et al., 2005; Ricciardelli et al., 2014; Moorman et al., 2016) when compared to galaxies in higher density regions. In studies where the properties of the non-void comparison sample were matched to those of the void sample (e.g., similar colors, masses, gas content), quantities like sSFR were found to be similar across environments (e.g., Patiri et al., 2006; Ricciardelli et al., 2014; Moorman et al., 2016). 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