Search Results

Advanced search parameters have been applied.

Princeton Airport Dedication

Description: This film contains an unidentified press event held outside a building labeled Princeton Aviation Elev 160 and Gulf Oil. A Piper N7968W aircraft is displayed to the crowd following the press conference.
Date: unknown
Partner: UNT Media Library

Effects of Monitoring Positive and Negative Events on Measures of Depression

Description: This study examined psychoanalytic, physiological, and social learning models of depression in terms of etiology and symptomatology. Emphasis was placed on social learning theories of depression. First, Beck's cognitive approach stated that the root of depression was a negative cognitive set. Depressive episodes might be externally precipitated, but it was the individual's perception and appraisal of the event that rendered it depression inducing. Secondly, Seligman's learned helplessness model explained reactive depression in terms of a belief in one's own helplessness. Specifically, Seligman stated belief in the uncontrollability of outcomes resulted in depression, irrespective of the correspondence of such beliefs to objective circumstances. Additionally, depression resulted from noncontingent aversive stimulation and noncontingent positive reinforcement. Thirdly, Lewinsohn's model was based on these assumptions: a low rate of response-contingent positive reinforcement which acted as an eliciting stimulus for depressive behaviors. This low rate of response-contingent positive reinforcement constituted an explanation for the low rate of behaviors observed in the depressive. Total amount of response—contingent positive reinforcement is a function of a number of events reinforcing for the individual, availability of reinforcement in the environment, and social skills of the individual that are necessary to elicit reinforcement.
Date: May 1981
Creator: Ellis, Janet Koch
Partner: UNT Libraries

[Schedule of events]

Description: Document containing lists and descriptions of events schedules for the 1997-1998 season of the Junior Black Academy of Arts and Letters.
Date: June 27, 1998
Creator: Junior Black Academy of Arts and Letters
Partner: UNT Libraries Special Collections

[2005 Schedule]

Description: Document containing a schedule of events for the Black Academy of Arts and Letters for January - July 2005.
Date: January 2005
Creator: Black Academy of Arts and Letters
Partner: UNT Libraries Special Collections

[Program: JBAAL 1991-92 Glorious Season]

Description: Program for the 1991-1992 season of events at the Junior Black Academy of Arts and Letters. The program details the various activities and events planned by the Academy for the following year.
Date: September 1991
Creator: Junior Black Academy of Arts and Letters
Partner: UNT Libraries Special Collections

[Calendar of Events]

Description: A list of the events planned for the Junior Black Academy of Arts and Letters for the years 1981 and 1982.
Date: 1981/1982
Creator: Junior Black Academy of Arts and Letters
Partner: UNT Libraries Special Collections

[Calendar of Events]

Description: List of major events and projects planned for the Junior Black Academy of Arts and Letters during the years 1986 and 1987.
Date: September 1986
Creator: Junior Black Academy of Arts and Letters
Partner: UNT Libraries Special Collections

[Individuals at an event]

Description: Photograph of two men in formal attire standing in front of a podium. They are both holding a frame and the man on the left appears to be speaking. Other individuals sit at a table on either side of them and are clapping.
Date: [1960..1975]
Creator: Williams, Byrd M. (Byrd Moore), III
Partner: UNT Libraries Special Collections

Power system extreme event screening using graph partitioning

Description: We propose a partitioning problem in a power system contextthat weighs the two objectives of minimizing cuts between partitions andmaximizing the power imbalance between partitions. We then pose theproblem in a purely graph theoretic sense. We offer an approximatesolution through relaxation of the integer problem and suggest refinementusing stochastic methods. Results are presented for the IEEE 30-bus and118-bus electric power systems.
Date: September 6, 2006
Creator: Lesieutre, Bernard C.; Roy, Sandip; Donde, Vaibhav & Pinar, Ali
Partner: UNT Libraries Government Documents Department

Development of Simplified Probabilistic Risk Assessment Model for Seismic Initiating Event

Description: ABSTRACT This paper discusses a simplified method to evaluate seismic risk using a methodology built on dividing the seismic intensity spectrum into multiple discrete bins. The seismic probabilistic risk assessment model uses Nuclear Regulatory Commission’s (NRC’s) full power Standardized Plant Analysis Risk (SPAR) model as the starting point for development. The seismic PRA models are integrated with their respective internal events at-power SPAR model. This is accomplished by combining the modified system fault trees from the full power SPAR model with seismic event tree logic. The peak ground acceleration is divided into five bins. The g-value for each bin is estimated using the geometric mean of lower and upper values of that particular bin and the associated frequency for each bin is estimated by taking the difference between upper and lower values of that bin. The component’s fragilities are calculated for each bin using the plant data, if available, or generic values of median peak ground acceleration and uncertainty values for the components. For human reliability analysis (HRA), the SPAR HRA (SPAR-H) method is used which requires the analysts to complete relatively straight forward worksheets that include the performance shaping factors (PSFs). The results are then used to estimate human error probabilities (HEPs) of interest. This work is expected to improve the NRC’s ability to include seismic hazards in risk assessments for operational events in support of the reactor oversight program (e.g., significance determination process).
Date: June 1, 2012
Creator: Khericha, S.; Buell, R.; Sancaktar, S.; Gonzalez, M. & Ferrante, F.
Partner: UNT Libraries Government Documents Department
Back to Top of Screen