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Astronaut Alan B. Shepard Jr. sits in a flight couch for final testing before Mercury-Redstone 3. Credit: NASA
This Month in NASA History: Shepard Claims the Prize

Astronaut tells rocket: ‘Okay buster, let’s go and get the job done.’

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Bill Tindall (left) and Gene Kranz in Mission Control during Apollo 11. Credit: NASA
The Enduring Leadership Lessons of Bill Tindall

History Office presentation highlights master integrator of Gemini, Apollo.

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A full-scale model of the inflated aeroshell for NASA’s Low-Earth Orbit Flight Test of an Inflatable Decelerator (LOFTID) is displayed at NASA’s Langley Research Center in Hampton, Virginia. Credit: NASA/David C. Bowman
NASA Prepares for Hypersonic Test of Inflatable Decelerator

Technology could transform exploration of Mars, other planets.

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Graphic for Spotlight on Lessons Learned.
Spotlight on Lessons Learned: System / Facility Impedance Checks

Impedance compatibility problems between test facilities and electronics hardware can result in damage or failure.

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NASA researched vertical farming in the Biomass Production Chamber, a repurposed Project Mercury-era hypobaric test chamber at Kennedy Space Center. Credit: NASA/KSC
Radiant Barriers, Vertical Gardens, Robotic Gloves and More

Publication highlights NASA technology improving life on Earth.

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Screen shot of Kevin Rivers smiling and looking at the camera. Credit: NASA
Critical Knowledge inSight: The Importance of Resilience for Project Managers

A resilient project manager stays flexible and open to making changes when adversity or opportunities affect a project.

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Lessons Learned Bot API – Integrating Lessons Learned into Agency Applications

The Lessons Learned Bot API is a REST Application Programming Interface (API) that can be accessed using a variety of web technologies and programming languages from anywhere within the NASA agency firewall. If your application is capable of accessing a REST API, which most are these days, then it should be possible to integrate the LLB API and its datasets, including thousands of Lessons Learned, into your existing application.

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Figure 1 is showing an overview of the Lessons Learned Bot in Excel. One cell containing a paragraph is selected, and search results are displayed on a sidebar to the right. The sidebar is titled "Lessons Learned Bot Results." In this sidebar, you can see various titles and descriptions of relevant documents.
Lessons Learned Bot Excel Version

In near real-time, the Lessons Learned Bot, or LLB, brings lessons learned (LL) documents to users through a Microsoft Excel add-in application locally installed to search for LL content relevant to the text within the selected Excel cell. The application will encompass a corpus of documents, a trained Machine Learning (ML) model, built-in ML tools to train user’s documents, and an easy-to-use user interface to allow for the streamlined discovery of LL content.

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Langley Research Center CKO Kevin Rivers. Credit: NASA
Knowledge Community Corner: NASA Langley’s Kevin Rivers

Kevin Rivers discusses knowledge sharing at NASA’s Langley Research Center. 

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