Comparing Police Eyewitnesses and Lay Eyewitnesses: The Effect of Eyewitness Reputation and Procedural Justice on Juror Verdict Decisions

Verdict decisions can have potentially severe consequences for defendants including incarceration or even capital punishment. Previous researchers have identified many factors that can influence these decisions. One of the most influential aspects of juror decisions identified by researchers is witness testimony; however, there has been little empirical research on police officers as witnesses. Jurors may have pre-existing attitudes about the police that may influence how they view police officer witnesses on the stand. Furthermore, special rules govern the admission of credibility evidence against a police officer witness in the state of New Hampshire. The purpose of the study was threefold: the first purpose was to determine if there was an effect of witness type (lay, police officer) on juror decisions; the second purpose was to determine if there was an effect of police officer eyewitness reputation manipulation (good, bad, control) on evaluations of the eyewitness and juror decisions; and the third purpose was to examine the role of the procedural justice model of legal socialization on juror decisions. Results indicated that participants presented with a lay eyewitness were significantly more likely to render a guilty verdict than participants presented with a police officer eyewitness. Furthermore, participants presented with a police officer eyewitness with a good reputation or a police officer eyewitness with no reputation information provided were significantly more likely to acquit the defendant than participants presented with a police officer eyewitness with a bad reputation. These effects only emerged following group deliberation suggesting an effect of group discussion of the case. Results also provided partial support for the procedural justice model of legal socialization in predicting juror decisions. The findings from the current study advance the existing eyewitness research to include police officers as eyewitnesses and have policy implications for the rules governing police officer witnesses in the state of New Hampshire

Faculty Recital: Douglas Lindsey, trumpet

KSU School of Music presents Douglas Lindsey, trumpet.https://digitalcommons.kennesaw.edu/musicprograms/1297/thumbnail.jp

The Romance of Song : Duo Trompiano

Duo Trompiano, consisting of trumpeter Dr. Douglas Lindsey and pianist Judith Cole, present a recital entitled The Romance of Song , featuring the works of Rachmaninoff, Sondheim, Ewazen, Copland, and more.https://digitalcommons.kennesaw.edu/musicprograms/2309/thumbnail.jp

Faculty Recital: Duo Trompiano!

KSU School of Music presents Duo Trompiano!https://digitalcommons.kennesaw.edu/musicprograms/1088/thumbnail.jp

Duo Trompiano: An Exploration of American Trumpet Repertoire Douglas Lindsey, trumpet and Judy Cole, piano

KSU School of Music presents Duo Trompiano, An Exploration of American Trumpet Repertoire featuring Douglas Lindsey, trumpet and Judy Cole, piano.https://digitalcommons.kennesaw.edu/musicprograms/1545/thumbnail.jp

Duo Trompiano!

Judy Cole and Doug Lindsey met in the Fall of 2012 and have since performed dozens of concerts all over Georgia and the Southeast. From their very first collaboration, Duo Trompiano! have been committed to making great music accessible to audiences of all ages that spans genres from jazz standards to modern trumpet repertoire.https://digitalcommons.kennesaw.edu/musicprograms/1959/thumbnail.jp

Faculty Recital: Doug Lindsey and Friends

KSU School of Music presents Doug Lindsey and Friends.https://digitalcommons.kennesaw.edu/musicprograms/1148/thumbnail.jp

Distributed control of wind farm power set points to minimise fatigue loads

The quantity and size of wind farms continue to grow as countries around the world strive to meet ambitious targets for renewable electricity generation such as the UK government's Net Zero target of increasing offshore wind energy from current levels (circa 6 GW) to circa 75 GW by 2050. With increasing size and quantity of wind farms, there is a growing requirement to use wind farm level control both to help with grid integration and to minimise the loads on the turbines in the farm. In this paper, a methodology of distributing power set points through a wind farm to minimise the loads on the turbines whilst meeting a delta power set point for the farm is presented. The methodology in this paper uses a hierarchical control structure, in which a network wind farm controller calculates the required change in wind farm power and then passes this value on to a distributed controller that defines the change in power required from each wind turbine. The network wind farm controller calculates a delta change in wind farm power that the wind farm holds in reserve. The distributed controller allocates the reductions in power output by first setting a baseline reduction that considers the steady state tower loads. The baseline is then adjusted to meet the required change in power, distributing the additional change in one of two ways; either proportional to the square of each turbines estimated wind speed or proportional to the initial baseline. Performance is assessed using the StrathFarm simulation tool. The wind turbine models incorporated into StrathFarm are sufficiently detailed to provide the tower and blade loads and the wind field model is sufficiently detailed to represent turbulence, wind shear, tower shadow and wakes and their interaction. The performance of the proposed wind farm controllers are assessed for a range of wind conditions for two 4x4 wind farms of 5MW wind turbines, one closely spaced (500m) and one less closely spaced (1000m). Both the accuracy of the change in power output from the wind farm and the change in turbines DELs are discussed. Depending on the wind conditions, the approach is found to reduce the tower and blade loads by about 10% more than the case in which each turbine is simply allocated the same change in power. There is good accuracy in the change in power at higher wind speeds. Below rated wind speed, wake effects reduce the accuracy of the change in power

Using rotor inertia as stored energy in below rated wind farms to provide primary frequency response

The objective of this work is to present a method for providing ancillary services to the grid with minimal reduction in power output from the turbines in a wind farm by utilising the stored energy in the turbine rotors. By first demonstrating an approach of extracting energy from a single turbine's rotor, it can be shown that this could lead to increased energy yields while still being able to provide primary response provision compared to curtailing each turbine by 10%. Following this, when this approach is tested at the wind farm level there is considerable evidence that considering the energy stored in the turbine rotors across a wind farm can lead to increases in energy capture while not significantly increasing damage equivalent loads for either towers or blades