Good-Bye, Sweet Marie : I\u27ll Break The Fighting Line Like You Broke This Heart Of Mine

https://digitalcommons.library.umaine.edu/mmb-vp/1547/thumbnail.jp

Observational cross sectional pilot study of adherence with antipsychotic medication in people with schizophrenia or schizoaffective disorders in prisons

This pilot project has aimed to: • Estimate the point prevalence of non-adherence to (typical/atypical) antipsychotic medication in population of people with schizophrenia or schizoaffective disorder in prison. • Determine prisoners’ satisfaction with and beliefs and attitudes towards antipsychotic medication. • Determine predictors of adherence in prisoners with schizophrenia or schizo-affective disorder. • Compare the prevalence of adherence with a community sample of individuals with schizophrenia. • Explore patients’ current and previous subjective experiences of medication (embedded qualitative element of project

Good-bye Sweet Marie

[Verse 1] While the soldiers in line are afalling, To the tune of an old soldier song; Hear a lad to a lassie acalling, With his comrades amarching along. “Now you tell me you love me, my darling, When I’m marching away to the war; There’s a tear in your eye, From your heart comes a sigh, If you only had told me before. [Chorus] Goodbye, sweet Marie, Throw a kiss, love, to me; And your boy in blue will sigh for you, Cry for you, Die for you; I’ll dream, love, of thee, Only say you’ll dream of me, And I’ll break the fighting line like you broke this heart of mine, Good-bye, sweet Marie” [Verse 2] There’s a sound as of soldiers returning, There’s a cheer borne along on the air; How your heart, maiden fair’s fondly yearning, For the boy that you fancy is there. See, the column of blue is approaching, But the rose in your cheek blooms no more; For the lad you lov’d well, Murmured low as he fell, “If she only had told me before.” [Chorus

Cell migration towards CXCL12 in leukemic cells compared to breast cancer cells

Chemotaxis or directed cell migration is mediated by signalling events initiated by binding of chemokines to their cognate receptors and the activation of a complex signalling cascade. The molecular signalling pathways involved in cell migration are important to understand cancer cell metastasis. Therefore we investigated the molecular mechanisms of CXCL12 induced cell migration and the importance of different signalling cascades that become activated by CXCR4 in leukemic cells versus breast cancer cells. We identified Src kinase as being essential for cell migration in both cancer types, with strong involvement of the Raf/MEK/ERK1/2 pathway. We did not detect any involvement of Ras or JAK2/STAT3 in CXCL12 induced migration in Jurkat cells. Preventing PKC activation with inhibitors does not affect migration in Jurkat cells at all, unlike in the adherent breast cancer cell line MCF-7 cells. However in both cell lines, knock down of PKCα prevents migration towards CXCL12, whereas the expression of PKCζ is less crucial for migration. PI3K activation is essential in both cell types, however LY294002 usage in MCF-7 cells does not block migration significantly. These results highlight the importance of verifying specific signalling pathways in different cell settings and with different approaches

Impact of Wind, Solar, and Other Factors on Wholesale Power Prices: An Historical Analysis—2008 through 2017

Wholesale power markets have evolved. Some of the most prominent changes over the last decade in the United States include growth in wind and solar, a reduction in the price of natural gas, weakened load growth, and an increase in the retirement of thermal power plants. Here we empirically assess the degree to which wind and solar—among other factors—have influenced wholesale electricity prices. We show that wind and solar have contributed to reductions in overall average annual wholesale electricity prices since 2008, but that natural gas prices have had the largest impact. More notable is that expansion of variable renewable energy has led to significant changes in locational, time of day, and seasonal pricing patterns in some regions. These altered pricing patterns reflect a fundamental shift, and hold important implications for the grid-system value of wind and solar, and for other electric-sector planning and operating decisions

Mapping the effect of variable HPT blade cooling on fuel burn, engine life and emissions for fleet optimization using active control

Modern aero engines have increasingly sophisticated control systems. The aim for next-generation aircraft is to have even more adaptive and flexible control systems to enable the optimization of economic aspects, operational aspects and fleet management. Among others, an engine control variable that has the potential to offer various life and fuel burn benefits at different flight phases is the High-Pressure Turbine (HPT) blade cooling air. The HPT blades have demanding cooling requirements to protect their life and decelerate HPT efficiency degradation. However, any engine bleed has a penalty in efficiency and results in increased fuel consumption. Previous generation aircraft have a fixed relative blade cooling flow based on a design choice for a trade-off between life and efficiency. However, with adaptive control systems, there is an opportunity to extract the maximum potential benefit under different flight phases and scenarios. With this opportunity comes the challenge of increased complexity in engine behavior necessitating detailed modeling to quantify effects on lifing, fuel burn and safety. This paper focuses on modeling the performance, lifing and emission effects of variable HPT blade cooling air at take-off, climb and cruise. First, the effect of variable cooling on the Turbine Entry Temperature (TET), Exhaust Gas Temperature (EGT), fuel flow, lifing and NOx emissions are modeled at operating point level while the thrust requirement is achieved. Subsequently, a Design of Experiment is performed at mission level with the relative cooling flow at take-off, climb and cruise as the independent variables to train surrogate, analytical models. The analytical models are applied in the probabilistic modeling of system failure rates under different cooling flows. Optimization of engine control variables, in this case, the HPT blade cooling, requires analytical expressions that can be used in objective functions. These analytical models will inform fleet optimizers and active control systems to facilitate the implementation of fleet decisions such as reducing direct operating costs (fuel cost, maintenance reserves, NOx taxation), meeting NOx requirements of airports and extending Time-on-Wing (TOW). The findings indicate that take-off offers an opportunity to protect HPT life with increased cooling, but caution should be exercised in regard to the damage increase at the downstream non-cooled hot gas path components. A decrease in cooling flow at cruise, which is less detrimental to engine life, can offer significant fuel savings and climb can be investigated for the optimum economic trade-off between life and fuel burn as a response to economic scenarios