1,722,179 research outputs found
Walker, Matthew H.-Residence P.3
No full textWalker, Matthew H. -- Residence. Located on west side of Main Street, between 4th and 5th So. Streets. Prior to building his home on South Temple. Courtesy: R. Lloyd Snedaker. Address: 454 So. Main St
Relationship between Substance Use and Belief Maturity
Full text linkIntroduction: This study aimed to examine the relationship between substance use and belief maturity amongst users, investigating general substance use, and the level of and recency of use for individual substance categories. Many studies have found relationships between substance use and the types of beliefs people hold. Yet few have looked at the relationship substances have with the bidirectional strength of belief and dogmatic belief, the two factors contributing to belief maturity.
Method: Participants (65 adults, M = 34.1 years old, 41.6% female, 24.6% students) completed an online questionnaire measuring their belief maturity. This was done by measures of bi-directional strength of beliefs using ARES and GCB and a short-form version of the dogmatism scale. Participants also reported their level and recency of substance use. Self-reported data was analysed using correlational analysis (Spearman’s Rho).
Results: General substance use produced negligible and insignificant relationships with all measures of belief maturity. The level of use of psychedelics had a moderately positive relationship, and recency of use had a strong relationship with bidirectional belief strength on the GCB, however, these were not significant. More recent use of psychedelics had a significant strong positive correlation with dogmatism, as did more recent use of stimulants, dissociatives, and empathogens.
Discussion: The research suggests that there is a difference between substance categories in their relationship with belief maturity. This research provides a new perspective from which to investigate belief, laying the foundations and providing recommendations for future research that wishes to advance our understanding of this construct. This is important as understanding factors that affect the level of belief maturity within society can help us to make positive change, creating a more open and rational environment
Interactive research data visualisation by drag-and-drop
No full textMany researchers now choose to make their datasets openly available and may also release corresponding software tools to implement their techniques. However, enabling others to easily visualise and understand the data is often challenging. We demonstrate a web-based results visualiser where a user can drag-and-drop raw data files (either experimental data, or the output from a software tool) into an online webpage, which proceeds to analyse the data and automatically generate interactive graphs and tables. With this approach, anyone can visualise the data from any web-enabled device with a modern web browser; it supports every operating system, and does not require software to be installed. We discuss the tools and techniques used to create such interactive visualisations, how they aid in the understanding of data, and the further potential. While our demonstration is custom-built for a specific purpose, we propose a framework to enable anyone to create a visualiser for their data
Hardware-validated performance and power modelling of heterogeneous multi-processing architectures
No full textModern processors are becoming increasingly more complex and utilise higher numbers of Heterogeneous Multi-Processing (HMP) cores. Energy-efficiency has become the primary design constraint in recent years, and improvements enable battery-powered devices to run longer and reduce the energy and cooling costs in data centres. Moreover, increased energy-efficiency enables greater peak performance under the thermal and power constraints, enabling innovative new uses and applications. Accurate run-time power estimations are critical in guiding online energy-saving techniques and energy-aware scheduling decisions to find the optimum performance, power and energy tradeoff. This thesis presents a statistically-rigorous methodology for developing accurate and stable empirical power models for providing run-time power estimations to a run-time manager (RTM) while considering thermal variation, coefficient stability, heteroscedasticity, robust model specification, and non-ideal voltage regulation. The novel methodology ensures that the models perform significantly more accurately across a wider range of workloads when compared with existing runtime power modelling methodologies, achieving average errors lower than four percent. Practical considerations and shortcomings in existing approaches are also identified and addressed. Furthermore, the recent slowdown in technology scaling has forced researchers and engineers to rely on micro-architectural advances and system-level optimisations to drive performance improvement, the development of which is underpinned by simulation tools. However, such simulation tools inevitably have limitations and contain sources of error which, if not understood by the user, can lead to inaccurate results and incorrect conclusions. This thesis presents a methodology for evaluating CPU performance models and identifying specific sources of error, allowing such models to be improved; extended to other CPUs; validated after changes; and tested for suitability to a specific use case. These hardware-validated performance models are combined with the empirical power models to enable accurate and reliable performance, power and energy simulation. Moreover, the Powmon and GemStone software tools are presented, which implement the methodologies for developing power models and validating performance models, respectively.<br/
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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