Assessing the Contribution of Data Mining Methods to Avoid Aircraft Run-Off from the Runway to Increase the Safety and Reduce the Negative Environmental Impacts.

The Single Europe Sky Air Traffic Management Research (SESAR) program develops and implements innovative technological and operational solutions to modernize European air traffic management and to eliminate the negative environmental impacts of aviation activity. This article presents our developments within the SESAR Solution "Safety Support Tools for Avoiding Runway Excursions". This SESAR Solution aims to mitigate the risk of runway excursion, to optimize airport operation management by decreasing the number of runway inspections, to make chemical treatment effective with respect to the environment, and to increase resilience, efficiency and safety in adverse weather situations.

Monitoring of Low-Level Wind Shear by Ground-based 3D Lidar for Increased Flight Safety, Protection of Human Lives and Health.

Low-level wind shear, i.e., sudden changes in wind speed and/or wind direction up to altitudes of 1600 ft (500 m) above-ground is a hazardous meteorological phenomenon in aviation.

Dispersion of Fukushima radionuclides in the global atmosphere and the ocean.

Large quantities of radionuclides were released in March-April 2011 during the accident of the Fukushima Dai-ichi Nuclear Power Plant to the atmosphere and the ocean. Atmospheric and marine modeling has been carried out to predict the dispersion of radionuclides worldwide, to compare the predicted and measured radionuclide concentrations, and to assess the impact of the accident on the environment. Atmospheric Lagrangian dispersion modeling was used to simulate the dispersion of (137)Cs over America and Europe.

Developmental normative data for the Corsi Block-tapping task.

The Corsi Block-Tapping task has been utilized as a measure of spatial memory in both clinical and research contexts for several decades. Despite its wide application, the task has been employed with extraordinary variability in administration and scoring and in the composition of stimulus item sets. We have generated a set of test items containing quasi-randomly derived block-tapping sequences.

Varying patterns of verbal recall, recognition, and response bias with progression of alzheimer's disease.

Aspects of performance on verbal list learning tasks, such as recall, recognition, and response bias, may vary with severity in Alzheimer's disease (AD). We administered a 10-item, single-category word list learning test using selective reminding procedures to 188 patients with probable AD and 36 healthy normal controls with equivalent age and education. We analyzed the total number of words recalled as well as discrimination and response bias indexes derived from signal detection theory.