63,295 research outputs found
Implementation of PAL in a learning organization
This chapter presents the project action learning (PAL) implementation experience as real-life cases. PAL uses real-life projects to align individual and team learning with organizational learning (OL). The case company adopted a wavelike approach in its PAL implementation. PAL became the OL vehicle of the case company. An enabling IT-based infrastructure was developed to provide a platform for easy communication, knowledge sharing, and information interchange. The knowledge gained or generated throughout the PAL-driven OL processes could be captured and retained as retrievable organization knowledge. OL facilitation is another vital pillar for PAL implementation, which provides cognitive coaching and coordination to guide the PAL teams, especially their new members through the established PAL process.Department of Industrial and Systems Engineerin
avik-pal/RayTracer.jl: v0.1.4
RayTracer v0.1.4
<p><a href="https://github.com/avik-pal/RayTracer.jl/compare/v0.1.3...v0.1.4">Diff since v0.1.3</a></p>
<p><strong>Closed issues:</strong></p>
<ul>
<li>Question about DTM rendering (#40)</li>
</ul>
<p><strong>Merged pull requests:</strong></p>
<ul>
<li>CompatHelper: bump compat for "ImageIO" to "0.2" (#33) (@github-actions[bot])</li>
<li>CompatHelper: bump compat for "Zygote" to "0.5" (#34) (@github-actions[bot])</li>
<li>Remove manifest (#37) (@avik-pal)</li>
<li>Update paper.tex (#38) (@matbesancon)</li>
<li>CompatHelper: bump compat for "Images" to "0.23" (#39) (@github-actions[bot])</li>
</ul>
avik-pal/RayTracer.jl: v0.1.4
RayTracer v0.1.4
<p><a href="https://github.com/avik-pal/RayTracer.jl/compare/v0.1.3...v0.1.4">Diff since v0.1.3</a></p>
<p><strong>Closed issues:</strong></p>
<ul>
<li>Question about DTM rendering (#40)</li>
</ul>
<p><strong>Merged pull requests:</strong></p>
<ul>
<li>CompatHelper: bump compat for "ImageIO" to "0.2" (#33) (@github-actions[bot])</li>
<li>CompatHelper: bump compat for "Zygote" to "0.5" (#34) (@github-actions[bot])</li>
<li>Remove manifest (#37) (@avik-pal)</li>
<li>Update paper.tex (#38) (@matbesancon)</li>
<li>CompatHelper: bump compat for "Images" to "0.23" (#39) (@github-actions[bot])</li>
</ul>
avik-pal/RayTracer.jl: v0.1.2
RayTracer v0.1.2
<p><a href="https://github.com/avik-pal/RayTracer.jl/compare/v0.1.1...v0.1.2">Diff since v0.1.1</a></p>
<p><strong>Closed issues:</strong></p>
<ul>
<li>inverse lighting example missing definition of <code>opt</code> (#17)</li>
</ul>
<p><strong>Merged pull requests:</strong></p>
<ul>
<li>Install TagBot as a GitHub Action (#16) (@JuliaTagBot)</li>
<li>Update the Package to use the latest versions for Zygote (#19) (@avik-pal)</li>
<li>CompatHelper: add new compat entry for "Zygote" at version "0.4" (#20) (@github-actions[bot])</li>
<li>CompatHelper: add new compat entry for "Flux" at version "0.10" (#21) (@github-actions[bot])</li>
<li>CompatHelper: add new compat entry for "Compat" at version "3.8" (#22) (@github-actions[bot])</li>
<li>CompatHelper: add new compat entry for "ImageMagick" at version "1.1" (#23) (@github-actions[bot])</li>
<li>CompatHelper: add new compat entry for "Images" at version "0.22" (#24) (@github-actions[bot])</li>
</ul>
PAL
Please note: This software is no longer being updated or maintained, and is out of date.
Profit and Loss (PAL) Farm Budgeting Economic Software for Colorado Agriculture is a windows desktop software for analyzing farm operations budgets. The software was developed in cooperation with Colorado State University. Resources in this dataset:Resource Title: PAL. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=243&modecode=30-12-30-25 Download page link: https://www.ars.usda.gov/research/software/download/?softwareid=243&modecode=30-12-30-25</p
The PAL framework
The project-based action learning (PAL) provides a structured framework that serves as the organizational learning (OL) vehicle for the different team-based learning activities. Through a systematic and phase implementation of PAL, it can be aimed at gradually instilling team and individual learning capability and mindset, build up the learning culture within an organization. Based on the grounds and underpinnings for the DELO model constructed in the previous chapter, the research model decomposes OL into drivers, enablers, learning and outcome. Each of these components is further ‘exploded’ in this chapter, to allow detailed study of the relationships of independent variables (influencing factors) and on the dependent variables of OL.Department of Industrial and Systems Engineerin
A dataset for systematic testing of crackle separation techniques
Dataset supports: A dataset for systematic testing of crackle separation techniques by Ravi Pal and Anna Barney in the Forty First Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'19, 23-27 July 2019 in Berlin, Germany.</span
Xenin-25[Lys(13)PAL]: a novel long-acting acylated analogue of xenin-25 with promising antidiabetic potential
AIMS: Xenin-25 is co-secreted with glucose-dependent insulinotropic polypeptide (GIP) from intestinal K-cells following a meal. Xenin-25 is believed to play a key role in glucose homoeostasis and potentiate the insulinotropic effect of GIP.
METHODS: This study investigated the effects of sub-chronic administration of the stable and longer-acting xenin-25 analogue, xenin-25[Lys(13)PAL] (25 nmol/kg), in diabetic mice fed with a high-fat diet.
RESULTS: Initial studies confirmed the significant persistent glucose-lowering (p < 0.05) and insulin-releasing (p < 0.05) actions of xenin-25[Lys(13)PAL] compared with native xenin-25. Interestingly, xenin-25 retained significant glucose-lowering activity in GIP receptor knockout mice. Twice-daily intraperitoneal (i.p.) injection of xenin-25[Lys(13)PAL] for 14 days had no significant effect on food intake or body weight in high-fat-fed mice. Non-fasting glucose and insulin levels were also unchanged, but overall glucose levels during an i.p. glucose tolerance and oral nutrient challenge were significantly (p < 0.05) lowered by xenin-25[Lys(13)PAL] treatment. These changes were accompanied by significant improvements in i.p. (p < 0.05) and oral (p < 0.001) nutrient-stimulated insulin concentrations. No appreciable changes in insulin sensitivity were observed between xenin-25[Lys(13)PAL] and saline-treated high-fat mice. However, xenin-25[Lys(13)PAL] treatment restored notable sensitivity to the biological actions of exogenous GIP injection. Consumption of O2, production of CO2, respiratory exchange ratio and energy expenditure were not altered by 14-day twice-daily treatment with xenin-25[Lys(13)PAL]. In contrast, ambulatory activity was significantly (p < 0.05 to p < 0.001) increased during the dark phase in xenin-25[Lys(13)PAL] mice compared with high-fat controls
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