Understanding PTSD, Aggression, and Shame among Post-9/11 Veterans

Elevated aggression is frequently found among individuals with posttraumatic stress disorder (PTSD). PTSD and combat exposure alone do not explain the reliable finding of heightened aggression among trauma-exposed veterans. Shame may be an important affective feature in this relationship. The present study examined the role of shame from a social hierarchy perspective in a sample of 52 combat veterans from the post-9/11 era. Correlational analyses indicated positive relations between shame, PTSD, and aggression. Trait shame was found to mediate between PTSD severity and physical aggression, but not other forms of aggression. For veterans within the context of a hierarchical military culture, separation from the military and diagnosis of PTSD may be salient markers of social loss and exclusion. Aggression may operate to reduce the negative affective experience associated with shame and to regain social standing. Findings implicate shame as a pivotal emotional component in the relationship between PTSD and aggression

Astrobiology Research & Outreach at Truman State University

We present light curves for three potential exoplanet candidates: TIC 950525831.01 and TIC 346015394.01. These targets were chosen from the TESS Follow-Up Observing Program (TFOP) database1. The primary goal of the TESS Follow-up Observing Program (TFOP) Working Group (WG) is to provide follow-up observations that will facilitate achievement of the Level One Science Requirement to measure masses for 50 transiting planets smaller than 4 Earth radii2. Students remotely used the 1-m NPOI Lowell telescope on Anderson Mesa near Flagstaff, Arizona to target these objects. In total, students observed eight “TFOP” potential exoplanet targets. Students are working on analyzing data and generating light curves on several of these objects and have completed and submitted analyses on three objects we discuss here

Nurse’s Experiences and Perceptions of Complementary and Alternative Therapies for Workplace Stress Management

Nursing as a profession has been said to be one of high stress, high sickness absence and presenteeism at work. Complementary and Alternative therapies are continually being researched for their benefits in relieving stress. To target these stress levels NHS Trusts have put into practice workplace wellness schemes, however nurses do not seem to be accessing them. Therefore this qualitative study aimed to discover Nurse’s Experiences and Perceptions of Complementary and Alternative Therapies for Workplace Stress Management. Semi-structured interviews were conducted with 12 registered nurses working within the emergency department and the burns high dependency unit. Key themes that emerged were that nurses acknowledge that they experience high levels of stress at work and they to need to better manage their stress. All the nurses had some experience of using complementary and alternative therapies outside of the workplace and they found them to be relaxing and stress relieving. However they were not able to access workplace wellness services that offered Complementary and Alternative therapies because they work long hours and have very short breaks and most were not even aware that any services were offered by their Trust. They described the main barriers to access as cost, time and location. This study highlighted the need for more advertising about services offered by Trusts providing Complementary and Alternative therapies and a change in service times to allow nurses better access

Пеня за податковим законодавством України: санкція чи засіб забезпечення виконання податкового обов'язку

Закарян Б. Н. Пеня за податковим законодавством України: санкція чи засіб забезпечення виконання податкового обов'язку / Б. Н. Закарян // Правове життя сучасної України : матеріали Міжнар. наук. конф. проф.-викл. та аспірант. складу (м. Одеса, 16-17 травня 2013 р.) / відп. за вип. В. М. Дрьомін ; НУ "ОЮА". Півд. регіон. центр НАПрН України. - Одеса : Фенікс, 2013. - Т. 2. - С. 173-175

Data mining algorithm for manufacturing process control

In this paper, a new data mining algorithm based on the rough sets theory is presented for manufacturing process control. The algorithm extracts useful knowledge from large data sets obtained from manufacturing processes and represents this knowledge using “if/then” decision rules. Application of the data mining algorithm developed in this paper is illustrated with an industrial example of rapid tool making (RTM). RTM is a technology that adopts rapid prototyping (RP) techniques, such as spray forming, and applies them to tool and die making. A detailed discussion on how to control the output of the manufacturing process using the results obtained from the data mining algorithm is also presented. Compared to other data mining methods, such decision trees and neural networks, the advantage of the proposed approach is its accuracy, computational efficiency, and ease of use.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45889/1/170_2004_Article_2367.pd