Atypical working practices in the East Midlands

The aim of this research was to examine the extent and nature of atypical working practices in the East Midlands region and, in particular, look at the way in which these forms of work are likely to encourage employment and economic development in remote rural areas, and more generally, promote social inclusion

Special Libraries, March 1955

Volume 46, Issue 3https://scholarworks.sjsu.edu/sla_sl_1955/1002/thumbnail.jp

Enabling Dynamic Vehicle Analyses With Improved Atmospheric Attenuation Models in Glenn Research Center Communication Analysis Suite

To aid in meeting the NASA objective of returning humans to the Moon, the Glenn Research Centers Communication Analysis Suite was augmented with two distinct capabilities. The first capability added was the vehicle propagator. This allows the addition of dynamic aircraft and ground vehicles around any celestial body within the solar system during an analysis. This functionality interpolates the position and velocity of the vehicle relative to a celestial body at the time steps analyzed using the type of path and either a series of waypoints or a direction and duration of travel. The implications of this new capability include lunar rovers and/or drones, such as Dragonfly, where the vehicle propagator will analyze the communications architecture. The newly created vehicle propagator is now in use in communications studies for the 2024 lunar missions, simulating the movement of lunar rovers across the Moons southern pole. The second capability added was the augmentation of the atmospheric attenuation model. The previous model did not have a uniform low-elevation attenuation model due to the trigonometric approximation for path length and the exponential nature of low-elevation scintillation. User-defined weather parameters were also added to the updated atmospheric attenuation model. The previous model solely used tabular data based upon the season and location of the transmitting antenna. Multiple simulations of the same configuration now return different results based on the differing weather parameters. Cognitive communications analysis efforts can use this second capability to generate neural network training data based on differing weather conditions at utilized ground stations, a critical step in allowing neural networks to learn how weather parameters impact communications performance

Spartan Daily, September 13, 1991

Volume 97, Issue 10https://scholarworks.sjsu.edu/spartandaily/8147/thumbnail.jp

Special Libraries, April 1961

Volume 52, Issue 4https://scholarworks.sjsu.edu/sla_sl_1961/1003/thumbnail.jp

Spartan Daily, October 2, 1991

Volume 97, Issue 22https://scholarworks.sjsu.edu/spartandaily/8159/thumbnail.jp

Spartan Daily, September 9, 1991

Volume 97, Issue 6https://scholarworks.sjsu.edu/spartandaily/8143/thumbnail.jp

Boston Hospitality Review: Winter 2014

The Current State of the New England Lodging Market: New England Falls Short of the Nation in 2013 RevPAR Growth by Rachel Roginsky and Matthew Arrants -- The Fall and Rise of the Travel Agent by Stephen Jermanok -- Roman Ways: The Endurance of Patterns in Travel and Hospitality from Antiquity by Bradford Hudson -- A Conversation with Howard Schultz CEO of Starbucks by Christopher Muller -- Self-Confidence in the Hospitality Industry by Michael Oshin