Examining the influence of popular music and poetry therapy on the development of therapeutic factors in groups with at-risk adolsecents

In this study, music and poetry were combined to form a client-centered therapeutic approach to group psychotherapy with at-risk youth that encourages connection, communication, and self-expression. This specialized poetry therapy intervention utilizes popular music and creative writing activities to facilitate group discussion about feelings, life experiences, goals, and values. The purpose of this research was to examine the impact of such an intervention on group formation and development, with a specific focus on the development of factors, such as self-disclosure, which contribute to therapeutic change over the course of the intervention. A multiple embedded case study approach was utilized to collect qualitative and quantitative data from multiple data sources. Data was collected via videotaped observation of group sessions, the administration of the Most Important Event questionnaire, document collection, and the administration of the modified Therapeutic Factors Inventory-S. The findings of this research indicate that several factors, including group composition, the activities engaged in during group sessions, and the internalizing or externalizing behavior profiles of group members, influenced the development of self-disclosure in these poetry therapy groups. Additional findings indicate that when all three of the cases are looked at as a whole, self-disclosure is the most frequently referenced factor when the direct responses of group members as collected via the Most Important Event questionnaire are analyzed. However, the results are less clear when the results of the modified Therapeutic Factors Inventory-S were included; these modified TFI-S results varied according to the group from which the data was obtained. The most meaningful finding of this research was that this poetry therapy intervention had a striking impact on engagement and self-disclosure among these three groups of at-risk youth. The evidence gathered via this research indicates that this intervention fostered a group environment in which guarded, difficult to engage at-risk adolescents felt comfortable and connected enough to engage in surprisingly honest and bold self-disclosure

Load Asymmetry Observed During Orion Main Parachute Inflation

The Crew Exploration Vehicle Parachute Assembly System (CPAS) has flight tested the first two generations of the Orion parachute program. Three of the second generation tests instrumented the dispersion bridles of the Main parachute with a Tension Measuring System. The goal of this load measurement was to better understand load asymmetry during the inflation process of a cluster of Main parachutes. The CPAS Main parachutes exhibit inflations that are much less symmetric than current parachute literature and design guides would indicate. This paper will examine loads data gathered on three cluster tests, quantify the degree of asymmetry observed, and contrast the results with published design guides. Additionally, the measured loads data will be correlated with videos of the parachute inflation to make inferences about the shape of the parachute and the relative load asymmetry. The goal of this inquiry and test program is to open a dialogue regarding asymmetrical parachute inflation load factors

Verification and Validation Plan for Flight Performance Requirements on the CEV Parachute Assembly System

The Crew Exploration Vehicle Parachute Assembly System (CPAS) is engaged in a multi-year design and test campaign aimed at qualifying a parachute recovery system for human use on the Orion Spacecraft. Orion has parachute flight performance requirements that will ultimately be verified through the use of Monte Carlo multi-degree of freedom flight simulations. These simulations will be anchored by real world flight test data and iteratively improved to provide a closer approximation to the real physics observed in the inherently chaotic inflation and steady state flight of the CPAS parachutes. This paper will examine the processes necessary to verify the flight performance requirements of the human rated spacecraft. The focus will be on the requirements verification and model validation planned on CPAS

Athleta B Corporation Case Study

As a B Corporation, Athleta has the unique challenge of identifying a competitive strategy that will guide the company to success in the highly competitive athleisure market while also remaining consistent with its mission, vision, and values and supporting its parent company, Gap Inc. This case study was developed to evaluate this challenge through internal and external analysis of the company and to encourage readers to consider Athleta’s future priorities as the company undergoes changes in strategic leadership. The case study begins with a brief overview of the competitive landscape of the Athleisure market and a review of the history of Athleta before diving into the company’s positioning in the market as a company that values sustainability and female empowerment. Athleta’s focus on inclusive sizing, sustainability, partnerships with female athletes, and customer engagement provide strong tools for the company to differentiate itself from competitors. These strengths will be critical for Athleta to utilize in the future as it seeks to become a leading Athleisure brand and a strong brand in Gap Inc.’s portfolio

Prospectus, January 31, 2007

https://spark.parkland.edu/prospectus_2007/1002/thumbnail.jp

Summary of CPAS Gen II Parachute Analysis

The Orion spacecraft is currently under development by NASA and Lockheed Martin. Like Apollo, Orion will use a series of parachutes to slow its descent and splashdown safely. The Orion parachute system, known as the CEV Parachute Assembly System (CPAS), is being designed by NASA, the Engineering and Science Contract Group (ESCG), and Airborne Systems. The first generation (Gen I) of CPAS testing consisted of thirteen tests and was executed in the 2007-2008 timeframe. The Gen I tests provided an initial understanding of the CPAS parachutes. Knowledge gained from Gen I testing was used to plan the second generation of testing (Gen II). Gen II consisted of six tests: three singleparachute tests, designated as Main Development Tests, and three Cluster Development Tests. Gen II required a more thorough investigation into parachute performance than Gen I. Higher fidelity instrumentation, enhanced analysis methods and tools, and advanced test techniques were developed. The results of the Gen II test series are being incorporated into the CPAS design. Further testing and refinement of the design and model of parachute performance will occur during the upcoming third generation of testing (Gen III). This paper will provide an overview of the developments in CPAS analysis following the end of Gen I, including descriptions of new tools and techniques as well as overviews of the Gen II tests

Simulating New Drop Test Vehicles and Test Techniques for the Orion CEV Parachute Assembly System

The Crew Exploration Vehicle Parachute Assembly System (CPAS) project is engaged in a multi-year design and test campaign to qualify a parachute recovery system for human use on the Orion Spacecraft. Test and simulation techniques have evolved concurrently to keep up with the demands of a challenging and complex system. The primary simulations used for preflight predictions and post-test data reconstructions are Decelerator System Simulation (DSS), Decelerator System Simulation Application (DSSA), and Drop Test Vehicle Simulation (DTV-SIM). The goal of this paper is to provide a roadmap to future programs on the test technique challenges and obstacles involved in executing a large-scale, multi-year parachute test program. A focus on flight simulation modeling and correlation to test techniques executed to obtain parachute performance parameters are presented

Lactic acid bacterial surface display of scytovirin inhibitors for anti-ebolavirus infection

Scytovirin (SVN) is a lectin from cyanobacteria which has a strong inhibitory activity against Ebola virus infection. We engineered scytovirin as the inhibitor for surface display of lactic acid bacteria to block Ebola virus infection. Two different bacterial strains (Lactobacillus casei and Lactococcus lactis) were successfully engineered for scytovirin expression on the bacterial surface. These bacteria were found to be effective at neutralizing pseudotyped Ebolavirus in a cell-based assay. This approach can be utilized for prophylactic prevention, as well as for treatment. Since lactic acid bacteria can colonize the human body, a long-term efficacy could be achieved. Furthermore, this approach is also simple and cost-effective and can be easily applied in the regions of Ebola outbreaks in the developing countries

Disease surveillance by artificial intelligence links eelgrass wasting disease to ocean warming across latitudes

Ocean warming endangers coastal ecosystems through increased risk of infectious disease, yet detection, surveillance, and forecasting of marine diseases remain limited. Eelgrass (Zostera marina) meadows provide essential coastal habitat and are vulnerable to a temperature-sensitive wasting disease caused by the protist Labyrinthula zosterae. We assessed wasting disease sensitivity to warming temperatures across a 3500 km study range by combining long-term satellite remote sensing of ocean temperature with field surveys from 32 meadows along the Pacific coast of North America in 2019. Between 11% and 99% of plants were infected in individual meadows, with up to 35% of plant tissue damaged. Disease prevalence was 3× higher in locations with warm temperature anomalies in summer, indicating that the risk of wasting disease will increase with climate warming throughout the geographic range for eelgrass. Large-scale surveys were made possible for the first time by the Eelgrass Lesion Image Segmentation Application, an artificial intelligence (AI) system that quantifies eelgrass wasting disease 5000× faster and with comparable accuracy to a human expert. This study highlights the value of AI in marine biological observing specifically for detecting widespread climate-driven disease outbreaks.This work was supported by the National Science Foundation (awards OCE-1829921, OCE-1829922, OCE-1829992, OCE-1829890). This is contribution 104 from the Smithsonian's MarineGEO and Tennenbaum Marine Observatories Network.Peer reviewe