Culpability and Willingness to Pay to Reduce Negative Externalities: A Contingent Valuation and Experimental Economics Study

Financial Economics,

Pancreas Transplantation: Personal Factors Associated with Good and Poor Post-Transplant Adaptive Response

Notable differences in patient adaptation after pancreas transplant cause some to thrive and return to independent living, while others struggle with emotional and social problems. In order to prepare vulnerable individuals to better cope after transplant, we investigated pre-transplant factors associated with post-transplant adaptive capacity. The pancreas transplant team de ned; good adaptive response (GAR) in patients who were responsible, resourceful, and optimistic. Poor adaptive response (PAR) was associated with patients who tended to complain and were emotionally dependent. METHODS: Experts included 3 nurse coordinators and 3 social workers. A modified Delphi approach was used to achieve consensus on the de nition of GAR and PAR. 200 of the last transplanted pancreas recipients were selected if they: received a pancreas transplant for type 1 DM, with, or without a kidney, and survived a minimum of six months post-transplant. The experts classified cases into GAR and PAR, contextualized by confidence. We completed a chart abstraction of all 200 cases using pre-transplant data and the extracted variables were regressed on the 54 top weighted GAR cases and the top 40 weighted PAR cases. RESULTS: In the final model, past smoker, currently on disability, simultaneous pancreas and kidney (SPK), and less than high school education significantly predicted probability of having a PAR (p<0.05). The model was a well-fitting model with a Hosmer and Lemeshow goodness of t test of (p=0.8250 < 0.05). Given the lack of inclusion of any of the predicted social variables for PAR patients we looked at predictors of GAR. The goodness of fit test was a well-fitting model (p= 0.6294 < 0.05). In addition to pancreas after kidney (PAK) having an odds ratio of 10.39, past smoker was 10.99 and current disability was 5.8. Discussion: The association of PAK with GAR and SPK with PAR suggests a possible effect from prior experience with transplant aiding in coping afterwards. Our findings support the need for a prospective study of coping with pancreas transplant and points to more intensive pre-transplant preparation of recipients, particularly those with lesser education

Characterization of High-Speed Flyer Evolution by Multi-Probe Photon Doppler Velocimetry

In this paper, the shape evolution of an aluminium flyer is characterized by a 16-probe Photonic Doppler Velocimeter while being impulsed by a Vaporizing Foil Actuator. For high-speed manufacturing, understanding the shape evolution of a flyer can advance the understanding of the characteristics of the applied pressure as well as the dynamics of the material; however, shock-driven process conditions often make it difficult to perform an in-situ study due to its rapidity and high non-equilibrium nature. Characterization of flyer evolution is also essential for comprehending the mechanism of impact welding, as it can enable measuring the process parameters at the time of collision, thus allowing for the prediction of the weld interface structure. An example is provided with an Al-Mg weld interface, showing the process-microstructure relationship of an impact welding process

Montana Forestry Notes, June 1964

This is issue 1: Soil Temperatures in the Lubrecht Experimental Foresthttps://scholarworks.umt.edu/montana_forestry_notes/1000/thumbnail.jp

Effects of the French Contrast Method on Maximum Strength and Vertical Jumping Performance

Introduction: French Contrast Method (FCM) was first created by French track and field coach Gilles Cometti. Anecdotally, FCM is widely utilized by strength and conditioning coaches in their programming for athletes. However, research on the effectiveness of this method is limited. Methods: A pre-post design was used to examine the effects of FCM on maximum strength and vertical jumping performance. A total of 10 weight-trained males volunteered to participate in this study (Age: 21.84±2.38, Height: 175.37±4.94, Body Mass: 80.6±11.11 Training Age: 4.7±2.3, one repetition maximum (1RM) Back Squat: 136.9±37.14, 1RM Trap Bar Deadlift: 189±42.85)