Transformation of Realism: Narrator’s Function and the Blending of Dialogue and Stream of Consciousness in To the Lighthouse and Between the Acts

This Honors thesis analyzes two narrative works by Virginia Woolf: her seventh novel, To the Lighthouse, and her final novel, Between the Acts. My analysis consists of two major components: I look at Woolf’s post-impressionist poetics and I examine, by way of a critical approach based on narrative theory, the construction of these poetics. Throughout, my interest is that of showing the transformation of classic realist representation of reality in these two novels. This transformation, I argue, is very subtly constructed through the narrator’s function, and the blending of dialogue and stream of consciousness

The impacts of climate change on regional water resources and agriculture in Africa

This paper summarizes the methods and findings of the hydrological assessment component of the project studying likely impacts of climate change on water resources and agriculture in Africa. The first phase of the study used a version of a conceptual rainfall-runoff model called WatBal (Water Balance) applied to gridded data to simulate changes in soil moisture and runoff across the whole continent of Africa rather than to any particular catchment or water resource system. The model inputs were the climate variables of the 1961-90 climatology and physiological parameters (such as soil properties and land use) derived from global datasets for each of the 0.5 degree latitude/longitude cells across the continent. The primary model output comprised a time series (monthly time step) of simulated runoff for all the grid cells for each of the districts in the countries of interest. The second phase of the study extended the hydrology analyses to update the above hydroclimatic series to the year 2000 using updated input data. To ascertain the possible impacts of climate change within the districts being investigated this study used synthetic or GCM-based climate change scenarios as input to the WatBal model. The WatBal model was used to determine the impact of these different scenarios on runoff and actual evaporation and hence flow in the districts under study. The generated hydroclimatic series and scenario analyses were used as inputs into various Ricardian regressions in other analyses measuring likely impacts of climate change on the agricultural economies of Africa.Wetlands,Climate Change,Water Supply and Systems,Global Environment Facility,Common Property Resource Development

An uncertainty approach to assessment of climate change impacts on the Zambezi River Basin

Many residents of the Zambezi River Valley are dependent on water-related resources. Greenhouse gas (GHG) emissions may cause a significant change to the climate in the Zambezi Basin in the future, but there is much uncertainty about the future climate state. This situation leaves policy makers at a state of urgency to prepare for these changes as well as reduce the impacts of the changes through GHG mitigation strategies. First and foremost, we must better understand the economic sectors most likely impacted and the magnitude of those impacts, given the inherent uncertainty. In this study, we present a suite of models that assess the effects of climate change on water resources for four countries in the Zambezi basin: Malawi, Mozambique, Zambia, and Zimbabwe. We use information from a large ensemble (6800) of climate scenarios for two GHG emission policies which represent a distribution of impacts on water-related sectors, considering emissions uncertainty, climate sensitivity uncertainty, and regional climate uncertainty. Two GHG mitigation scenarios are used to understand the effect of global emissions reduction on the River Basin system out to 2050. Under both climate polices, the majority of the basin will likely be drier, except for a portion in the north around Malawi and northern Zambia. Three Key Performance Indicators are used—flood occurrence, unmet irrigation demand, and hydropower generation—to understand the impact channels of climate change effects on the four countries. We find that floods are likely to be worse in Mozambique, irrigation demands are likely to be unmet in Mozambique and Zimbabwe, and hydropower generation is likely to be reduced in Zambia. We also find that the range of possible impacts is much larger under an unconstrained GHG emissions case than under a strict mitigation strategy, suggesting that GHG mitigation would reduce uncertainties about the future climate state, reducing the risks of extreme changes as compared to the unconstrained emissions case

A Worksite Occupational Health Clinic-Based Diabetes Mellitus Management Program

This study is an analysis of a workplace diabetes management program offered to employees of a Fortune 100 financial services corporation located in the United States. The 12-month worksite-based educational program was for employees who were at risk for diabetes, had prediabetes, or were diagnosed with diabetes. This employed population, with health benefits, generally had acceptable control of their diabetes at the start of the program. They statistically improved most self-efficacy measures, but improvement in biometric tests at 6 and 12 months were not significantly different from baseline. Mean hemoglobin A1c at baseline, 6 months, and 12 months was 7.2%, 7.2%, and 7.3%, respectively. At 12 months, about 40% of preprogram survey participants completed all screenings and the post-program questionnaire. Disease management programs at the workplace can be an important component in helping employees enhance their knowledge of diabetes and maintain and improve their health. (Population Health Management 2015;18:429?436)Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/140190/1/pop.2014.0141.pd

They did what? A Systematic Review of Music Intervention Reporting in Healthcare Research

poster abstractAbstract Background/Purpose: Both public interest in and publication of music intervention studies are increasing, with more than 1,000 articles published in healthcare journals over the last twenty years. Concomitant with this growth are concerns about inadequate intervention descriptions and inconsistent terminology in published research which limits cross-study comparisons, interdisciplinary communication, and integration of findings into practice. Purposes of this systematic review were to summarize and describe music intervention reporting in published research for patients with chronic or acute medical conditions including intervention content, outcomes of interest, interventionist qualifications, and terminology used to label and describe interventions. Theoretical/Conceptual Framework: Our review is based on published Reporting Guidelines for Musicbased Interventions which specifies 7 areas of reporting: theory, content, delivery schedule, interventionist, treatment fidelity, setting, and unit of delivery. Method: We identified experimental music intervention studies for patients with chronic/acute medical conditions, published 2010 - 2014, using MEDLINE, PubMed, CINAHL, and PsycINFO databases. Our initial search identified 620 articles, with 133 retained based on specific inclusion/exclusion criteria. Five nurse/music therapy student dyads reviewed full articles and abstracted data for analysis. Faculty mentors conducted interrater reliability checks and resolved data extraction discrepancies through discussion/consensus. This interdisciplinary approach provided a rich context for exploring how intervention descriptions/terminology may be interpreted and understood differently based on background and discipline-specific training. Results: Data are summarized based on Reporting Guidelines for Music-based interventions. Areas poorly reported: 1) intervention theory (i.e., mechanisms of action), 2) references for sound recordings/musical arrangements, 3) decibel level/sound controls, 4) interventionist qualifications and training. Two hundred music terms were cited (84 terms defined; 116 terms not defined), and often misapplied. Conclusions: Improved reporting will allow better cross-study comparisons, replication, and translation to practice. Additionally, standardization of music intervention terminology will improve interdisciplinary communication, delineation of music interventions across disciplines, and implementation

Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach

Physical and societal risks across the natural, managed, and built environments are becoming increasingly complex, multi-faceted, and compounding. Such risks stem from socio-economic and environmental stresses that co-evolve and force tipping points and instabilities. Robust decision-making necessitates extensive analyses and model assessments for insights toward solutions. However, these exercises are consumptive in terms of computational and investigative resources. In practical terms, such exercises cannot be performed extensively—but selectively in terms of priority and scale. Therefore, an efficient analysis platform is needed through which the variety of multi-systems/sector observational and simulated data can be readily incorporated, combined, diagnosed, visualized, and in doing so, identifies “hotspots” of salient compounding threats. In view of this, we have constructed a “triage-based” visualization and data-sharing platform—the System for the Triage of Risks from Environmental and Socio-Economic Stressors (STRESS)—that brings together data across socio-environmental systems, economics, demographics, health, biodiversity, and infrastructure. Through the STRESS website, users can display risk indices that result from weighted combinations of risk metrics they can select. Currently, these risk metrics include land-, water-, and energy systems, biodiversity, as well as demographics, environmental equity, and transportation networks. We highlight the utility of the STRESS platform through several demonstrative analyses over the United States from the national to county level. The STRESS is an open-science tool and available to the community-at-large. We will continue to develop it with an open, accessible, and interactive approach, including academics, researchers, industry, and the general public

Modeling Impact of Climate Change on Water Resources and Agriculture Demand in the Volta Basin and other Basin Systems in Ghana

An assessment of the impacts of projected climate change on water availability and crop production in the Volta Basin and the southwestern and coastal basin systems of Ghana has been undertaken as a component of the impacts and adaptation study for Ghana by UNU-WIDER and the University of Ghana. Four climate change scenarios were considered in addition to a reference (no change) scenario—two dry and two wet scenarios. To conduct the analysis, a portion of a special framework using three water models was used; the framework is called the Strategic Analysis of Climate resilient Development (SACReD). First, the CliRun water balance model was used to simulate catchment runoffs using projected rainfall and temperature under the scenarios. Second, climate impacts on yields of the economically important Ghana crops were modeled using the AquaCrop software. Third, the Water Evaluation and Planning (WEAP) software was used for the water allocation modeling. The results show that all water demands (municipal, hydropower, and agriculture) cannot be simultaneously met currently, or under any of the scenarios used, including the wet scenarios. This calls for an evaluation of groundwater as an additional source of water supply and an integrated water resources management plan in the catchments to balance demand with supply and ensure sustainable socio-economic development. In addition, the AquaCrop model forecasts negative impacts for the crop yields studied, with some crops and regions seeing larger impacts than others

Modeling Impact of Climate Change on Water Resources and Agriculture Demand in the Volta Basin and other Basin Systems in Ghana

An assessment of the impacts of projected climate change on water availability and crop production in the Volta Basin and the southwestern and coastal basin systems of Ghana has been undertaken as a component of the impacts and adaptation study for Ghana by UNU-WIDER and the University of Ghana. Four climate change scenarios were considered in addition to a reference (no change) scenario - two dry and two wet scenarios. The CliRun water balance model was used to simulate catchment runoffs using projected rainfall and temperature under the scenarios. The water evaluation and planning software was used for the water allocation modeling. The climate impacts on yields of many of the economically important Ghana crops were modeled using the AquaCrop software. The results show that all water demands (municipal, hydropower, and agriculture) cannot be simultaneously met under any of the scenarios used, including the wet scenarios. This calls for an evaluation of groundwater as an additional source of water supply and an integrated water resources management in the catchments to balance demand with supply and ensure sustainable socio-economic development. In addition, the AquaCrop model forecasts negative impacts for the crop yields studied, with some crops and regions seeing larger impacts than others

Neoantigen vaccine generates intratumoral T cell responses in phase Ib glioblastoma trial

Neoantigens, which are derived from tumour-specific protein-coding mutations, are exempt from central tolerance, can generate robust immune responses1,2 and can function as bona fide antigens that facilitate tumour rejection3. Here we demonstrate that a strategy that uses multi-epitope, personalized neoantigen vaccination, which has previously been tested in patients with high-risk melanoma4–6, is feasible for tumours such as glioblastoma, which typically have a relatively low mutation load1,7 and an immunologically ‘cold’ tumour microenvironment8. We used personalized neoantigen-targeting vaccines to immunize patients newly diagnosed with glioblastoma following surgical resection and conventional radiotherapy in a phase I/Ib study. Patients who did not receive dexamethasone—a highly potent corticosteroid that is frequently prescribed to treat cerebral oedema in patients with glioblastoma—generated circulating polyfunctional neoantigen-specific CD4+ and CD8+ T cell responses that were enriched in a memory phenotype and showed an increase in the number of tumour-infiltrating T cells. Using single-cell T cell receptor analysis, we provide evidence that neoantigen-specific T cells from the peripheral blood can migrate into an intracranial glioblastoma tumour. Neoantigen-targeting vaccines thus have the potential to favourably alter the immune milieu of glioblastoma