49 research outputs found
Pancreatic acini possess endothelin receptors whose internalization is regulated by PLC-activating agents
Space Shuttle Probabilistic Risk Assessment Incorporation into Entry Public Risk Estimates
Mission Activity Planning for Humans and Robots on the Moon
A series of studies is conducted to develop a systematic approach to optimizing, both in terms of the distribution and scheduling of tasks, scenarios in which astronauts and robots accomplish a group of activities on the Moon, given an objective function (OF) and specific resources and constraints. An automated planning tool is developed as a key element of this optimization system
Structural analysis of CGRP receptors on gastric smooth muscle and pancreatic acinar cells
START Analysis for ESAS Capability Needs Prioritization
START is a tool to optimize research and development primarily for NASA missions. It was developed within the Strategic Systems Technology Program Office, a division of the Office of the Chief Technologist at NASA's Jet Propulsion Laboratory. START is capable of quantifying and comparing the risks, costs, and potential returns of technologies that are candidates for funding. START can be enormously helpful both in selecting technologies for development -- within the constraints of budget, schedule, and other resources -- and in monitoring their progress. START's methods are applicable to everything from individual tasks to multiple projects comprising entire programs of investigation. They can address virtually any technology assessment and capability prioritization issue. In this report, START is used to analyze the capability needs using data from NASA's Exploration Systems Architecture Study (ESAS)
Technology Assessment in Support of the Presidential Vision for Space Exploration
This document is a viewgraph presentation that contains: (1) pictorial description of lunar context, (2) Definition of base case, (3) Optimization results, (4) Effects of cost uncertainties for base case and different assumed annual budget levels and (5) Effects of temporal optimization