A Communication Model of the Impact of Presidential Candidate Character Traits on Vote Preference

This dissertation presents a communication model of the impact of candidate character traits on vote preference and outlines how the communication environment surrounding US presidential elections influences the selection of salient candidate character traits, how these traits are framed by mediated communication, and reports their influence on vote preference which is dependent on voters’ level of news media use. A conceptualization of traits and the theoretical basis for how and why they may play a role in vote preference is presented and suggests traits provide an easily accessible heuristic allowing citizens to make predictions for future behavior of a candidate if elected. The theoretical foundation of the model is based on the integration of agenda-setting, priming and framing theories. The moderating role of media use on the relationship between perceptions of candidate traits and vote preference is also explicated. Support for this model is presented in three case studies that analyze three different datasets across two US elections. Specifically, the 2004 and 2008 general elections are explored using the 2004 and 2008 National Annenberg Election Studies (NAES) and an October 2008 dataset from Pew Research Center. These data provide empirical evidence supporting the theoretic argument driving this dissertation. All three case studies produce similar and consistent results and the congruence of the findings across different elections and multiple data sources contributes to the robustness and validity of the communication model of the impact of candidate character traits on vote preference offered in this dissertation

The Effect of Media on Public Knowledge

This chapter takes a look at the effect of media on public knowledge, studying the knowledge on the candidates\u27 issue stands and endorsements, and then introducing the concept of the Gas Tax Holiday. It also discusses the effects of partisan media and selective avoidance, along with the informing effect of the Internet

Will Ignorance & Partisan Election of Judges Undermine Public Trust in the Judiciary?

The complete independence of the courts of justice is peculiarly essential in a limited Constitution. By a limited Constitution, I understand one which contains certain specified exceptions to the legislative authority; such, for instance, as that it shall pass no bills of attainder, no ex post facto laws, and the like. Limitations of this kind can be preserved in practice no other way than through the medium of courts of justice, whose duty it must be to declare all acts contrary to the manifest tenor of the Constitution void. Without this, all the reservations

Taxonomy Visualization in Support of the Semi-Automatic Validation and Optimization of Organizational Schemas

Never before in history, mankind had access to and produced so much data, information, knowledge, and expertise as today. To organize, access, and manage these highly valuable assets effectively, we use taxonomies, classification hierarchies, ontologies, and controlled vocabularies among others. We create directory structures for our files. We use organizational hierarchies to structure our work environment. However, the design and continuous update of these organizational schemas that potentially have thousands of class nodes to organize millions of entities is challenging for any human being. The Taxonomy Visualization and Validation (TV) tool introduced in this paper supports the semi-automatic validation and optimization of organizational schemas such as file directories, classification hierarchies, taxonomies, or any other structure imposed on a data set as a means of organization, structuring, and naming. By showing the “goodness of fit” of a schema and the potentially millions of entities it organizes, the TV eases the identification and reclassification of misclassified information entities, the identification of classes that grew over-proportionally, the evaluation of the size and homogeneity of existing classes, the examination of the “well-formedness” of an organizational schema, etc. The TV is exemplarily applied to display the United States Patent and Trademark Office patent classification, which organizes more than three million patents into about 160,000 distinct patent classes. The paper concludes with a discussion and an outlook to future work

MODELING OF 2LIBH4 PLUS MGH2 HYDROGEN STORAGE SYSTEM ACCIDENT SCENARIOS USING EMPIRICAL AND THEORETICAL THERMODYNAMICS

It is important to understand and quantify the potential risk resulting from accidental environmental exposure of condensed phase hydrogen storage materials under differing environmental exposure scenarios. This paper describes a modeling and experimental study with the aim of predicting consequences of the accidental release of 2LiBH{sub 4}+MgH{sub 2} from hydrogen storage systems. The methodology and results developed in this work are directly applicable to any solid hydride material and/or accident scenario using appropriate boundary conditions and empirical data. The ability to predict hydride behavior for hypothesized accident scenarios facilitates an assessment of the of risk associated with the utilization of a particular hydride. To this end, an idealized finite volume model was developed to represent the behavior of dispersed hydride from a breached system. Semiempirical thermodynamic calculations and substantiating calorimetric experiments were performed in order to quantify the energy released, energy release rates and to quantify the reaction products resulting from water and air exposure of a lithium borohydride and magnesium hydride combination. The hydrides, LiBH{sub 4} and MgH{sub 2}, were studied individually in the as-received form and in the 2:1 'destabilized' mixture. Liquid water hydrolysis reactions were performed in a Calvet calorimeter equipped with a mixing cell using neutral water. Water vapor and oxygen gas phase reactivity measurements were performed at varying relative humidities and temperatures by modifying the calorimeter and utilizing a gas circulating flow cell apparatus. The results of these calorimetric measurements were compared with standardized United Nations (UN) based test results for air and water reactivity and used to develop quantitative kinetic expressions for hydrolysis and air oxidation in these systems. Thermodynamic parameters obtained from these tests were then inputted into a computational fluid dynamics model to predict both the hydrogen generation rates and concentrations along with localized temperature distributions. The results of these numerical simulations can be used to predict ignition events and the resultant conclusions will be discussed

An online breathing and wellbeing programme (ENO Breathe) for people with persistent symptoms following COVID-19: a parallel-group, single-blind, randomised controlled trial

BACKGROUND: There are few evidence-based interventions for long COVID; however, holistic approaches supporting recovery are advocated. We assessed whether an online breathing and wellbeing programme improves health related quality-of-life (HRQoL) in people with persisting breathlessness following COVID-19. METHODS: We conducted a parallel-group, single-blind, randomised controlled trial in patients who had been referred from one of 51 UK-based collaborating long COVID clinics. Eligible participants were aged 18 years or older; were recovering from COVID-19 with ongoing breathlessness, with or without anxiety, at least 4 weeks after symptom onset; had internet access with an appropriate device; and were deemed clinically suitable for participation by one of the collaborating COVID-19 clinics. Following clinical assessment, potential participants were given a unique online portal code. Participants were randomly assigned (1:1) to either immediate participation in the English National Opera (ENO) Breathe programme or to usual care. Randomisation was done by the research team using computer-generated block randomisation lists, with block size 10. The researcher responsible for randomisation was masked to responses. Participants in the ENO Breathe group participated in a 6-week online breathing and wellbeing programme, developed for people with long COVID experiencing breathlessness, focusing on breathing retraining using singing techniques. Those in the deferred group received usual care until they exited the trial. The primary outcome, assessed in the intention-to-treat population, was change in HRQoL, assessed using the RAND 36-item short form survey instrument mental health composite (MHC) and physical health composite (PHC) scores. Secondary outcome measures were the chronic obstructive pulmonary disease assessment test score, visual analogue scales (VAS) for breathlessness, and scores on the dyspnoea-12, the generalised anxiety disorder 7-item scale, and the short form-6D. A thematic analysis exploring participant experience was also conducted using qualitative data from focus groups, survey responses, and email correspondence. This trial is registered with ClinicalTrials.gov, NCT04830033. FINDINGS: Between April 22 and May 25, 2021, 158 participants were recruited and randomly assigned. Of these, eight (5%) individuals were excluded and 150 participants were allocated to a treatment group (74 in the ENO Breathe group and 76 in the usual care group). Compared with usual care, ENO Breathe was associated with an improvement in MHC score (regression coefficient 2·42 [95% CI 0·03 to 4·80]; p=0·047), but not PHC score (0·60 [-1·33 to 2·52]; p=0·54). VAS for breathlessness (running) favoured ENO Breathe participation (-10·48 [-17·23 to -3·73]; p=0·0026). No other statistically significant between-group differences in secondary outcomes were observed. One minor self-limiting adverse event was reported by a participant in the ENO Breathe group who felt dizzy using a computer for extended periods. Thematic analysis of ENO Breathe participant experience identified three key themes: (1) improvements in symptoms; (2) feeling that the programme was complementary to standard care; and (3) the particular suitability of singing and music to address their needs. INTERPRETATION: Our findings suggest that an online breathing and wellbeing programme can improve the mental component of HRQoL and elements of breathlessness in people with persisting symptoms after COVID-19. Mind-body and music-based approaches, including practical, enjoyable, symptom-management techniques might have a role supporting recovery. FUNDING: Imperial College London

Age, gender and disability predict future disability in older people: the Rotterdam Study

<p>Abstract</p> <p>Background</p> <p>To develop a prediction model that predicts disability in community-dwelling older people. Insight in the predictors of disability is needed to target preventive strategies for people at increased risk.</p> <p>Methods</p> <p>Data were obtained from the Rotterdam Study, including subjects of 55 years and over. Subjects who had complete data for sociodemographic factors, life style variables, health conditions, disability status at baseline and complete data for disability at follow-up were included in the analysis. Disability was expressed as a Disability Index (DI) measured with the Health Assessment Questionnaire.</p> <p>We used a multivariable polytomous logistic regression to derive a basic prediction model and an extended prediction model. Finally we developed readily applicable score charts for the calculation of outcome probabilities.</p> <p>Results</p> <p>Of the 5027 subjects included, 49% had no disability, 18% had mild disability, 16% had severe disability and 18% had deceased at follow-up after six years. The strongest predictors were age and prior disability. The contribution of other predictors was relatively small. The discriminative ability of the basic model was high; the extended model did not enhance predictive ability.</p> <p>Conclusion</p> <p>As prior disability status predicts future disability status, interventive strategies should be aimed at preventing disability in the first place.</p

The Effect of the Earned Income Tax Credit in the District of Columbia on Poverty and Income Dynamics

Using unique longitudinal administrative tax panel data for the District of Columbia (DC), we assess the combined effect of the DC supplemental earned income tax credit (EITC) and the federal EITC on poverty and income dynamics within Washington, DC, from 2001 to 2011. The EITC in DC merits investigation, as the DC supplement to the federal credit is the largest in the nation. The supplemental DC EITC was enacted in 2000, and has been expanded from 10 percent of the federal credit in 2001 to 40 percent as of 2009. To implement the study, we estimate least squares models with 0/1 dependent variables to estimate the likelihood of net-EITC income above poverty and near-poverty thresholds. We also estimate the likelihood of earnings growth and income stabilization from the EITC. To identify the effect of the EITC, we exploit variation in the EITC subsidy rate from 2008 to 2009, when an additional EITC bracket of 45 percent was added for workers with three or more dependent children, up from 40 percent in the previous year for workers with two or more children. We also estimate a model examining the impact of city-level changes to the EITC. The structure and richness of our data enable us to control for tax filer fixed effects, an important innovation from many previous EITC studies. Overall, we find that the combined EITC raises the likelihood of net-EITC income above poverty and near poverty by as much as 9 percent, with the largest consistent effects accruing to single-parent families