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Dopamine D1 Receptor Activity In The Basolateral Amygdala Is Important For Mediating Fear, Reward And Safety Discrimination Learning, Ka Ho Ng
Open Access Theses
Post traumatic stress disorder (PTSD) patients frequently show impairment in safety learning (Jovanovic, Kazama, Bachevalier, & Davis, 2012). Since the amygdala is known to be critical for emotional processing(Wassum & Izquierdo, 2015) and dopamine signaling in the amygdala is important for mediating both fear and reward learning, current experiments examined the role of dopamine signaling in the BLA in mediating both safety learning and reward seeking. We manipulated dopamine D1 receptor activity with a D1 receptor agonist (SKF 38393) or D1 receptor antagonist (SCH23390) either systemically or infused directly into the BLA 20 minutes prior to training rats in a …
Mining Big Data To Create A Tool For Empirical Observation Of Continuous Safety Improvement In A Construction Company - A Progressive Case Study In The Lean Environment, Nicolas J. Michuda
Mining Big Data To Create A Tool For Empirical Observation Of Continuous Safety Improvement In A Construction Company - A Progressive Case Study In The Lean Environment, Nicolas J. Michuda
Open Access Theses
In any iterative process, without a system of measurement, controlled improvement cannot be recorded. This is especially true in the construction industry, where error occurs, often with fatal repercussions. As part of a process to facilitate the establishment of this metric, an entirely new application was created. The goal of this application is to measure the causal factors that lead to incidents, which will allow the user and administration to track the circumstances and types of incidents. This enables the company to focus on these problem areas and improve through training. By analyzing these incident trends over time, the company …
Unsupervised Learning Framework For Large-Scale Flight Data Analysis Of Cockpit Human Machine Interaction Issues, Abhishek B. Vaidya
Unsupervised Learning Framework For Large-Scale Flight Data Analysis Of Cockpit Human Machine Interaction Issues, Abhishek B. Vaidya
Open Access Theses
As the level of automation within an aircraft increases, the interactions between the pilot and autopilot play a crucial role in its proper operation. Issues with human machine interactions (HMI) have been cited as one of the main causes behind many aviation accidents. Due to the complexity of such interactions, it is challenging to identify all possible situations and develop the necessary contingencies. In this thesis, we propose a data-driven analysis tool to identify potential HMI issues in large-scale Flight Operational Quality Assurance (FOQA) dataset. The proposed tool is developed using a multi-level clustering framework, where a set of basic …
Phase Of Flight Identification In General Aviation Operations, Valentine Pascale Goblet
Phase Of Flight Identification In General Aviation Operations, Valentine Pascale Goblet
Open Access Theses
Identifying phases of flight in General Aviation can help in identifying safety events, which are events which may result in the aircraft being in a hazardous state. Unlike commercial operations that have well-defined phases of flight such as taxi, takeoff, climb, cruise, descent, approach, and landing, GA missions have more hard-to-identify phases of flight. For example, pilot training missions can involve multiple “touch-and-go” maneuvers, which make it difficult to define a distinct cruise phase during the patterns. Here, we present an algorithm to automatically identifying phases of flight in GA. The method includes an algorithm to tailor the phase of …