170,257 research outputs found
Obrien, George, Death Record, 1918
No full textDeath entry for George Obrien.
Age: 40 years
Death Date: January 22, 1918
Cause: Tuberculosis
Burial Date: Unknown
Location: Zion Cemetery, Tampa, Hillsborough County, Florida
Father: Unknown
Mother: Unknown
Undertaker: C. W. Patterso
ISTC Present and Future
No full textPresentation by ISTC director Kevin OBrien about ISTC's current themes and future direction
Vaccine Hesitancy n = 658 SPSS.sav
No full textThis dataset contains survey responses from 658 vaccinated USA MTurk workers who completed measures of: (a) pandemic fatigue and psychological distress (physical symptoms, trauma symptoms); (b) delays in receiving medical care due to COVID-19 restrictions; (c) vaccine-related behavior and beliefs (type of vaccine and vaccine hesitancy), and (d) COVID-19 preventive health behaviors. Several predictor variables were also collected including: (a) demographic variables; (b) health risk factors for COVID-19; (c) perceived susceptibility to disease and intolerance of uncertainty; (d) attitudes, subjective norms and perceived behavioral control about COVID-19 vaccine from the Theory of Planned Behavior; (e) compassion for self and others; (f) psychological flexibility and inflexibility; (g) Buddhist mindfulness insight (impermanence, acceptance of suffering, nonself attachment, mindfulness); and (h) cultural orientation and authoritarianism. The surveys were completed between August 28th and October 18th of 2021. The data permit evaluation of relationships among COVID-19 fatigue and distress; COVID-19 vaccine related behaviors and beliefs; COVID-19 preventive health behaviors; COVID-19 susceptibility and intolerance of uncertainty; and the role of compassion, psychological flexibility, mindfulness, cultural orientation, and authoritarianism as possible moderators of COVID-19 fatigue, distress, and vaccine beliefs
Characteristic dynamic traffic load effects in bridges
No full textWhen formulating an approach to assess bridge traffic loading with allowance for Vehicle-Bridge Interaction (VBI), a trade-off is necessary between the limited accuracy and computational demands of numerical models and the limited time periods for which experimental data is available. Numerical modelling can simulate sufficient numbers of loading scenarios to determine characteristic total load effects, including an allowance for VBI. However, simulating VBI for years of traffic is computationally expensive, often excessively so. Furthermore, there are a great many uncertainties associated with numerical models such as the road surface profile and the model parameter values (e.g., spring stiffnesses) for the heavy vehicle fleet. On site measurement of total load effect, including the influence of VBI, overcomes many of these uncertainties as measurements are the result of actual loading scenarios as
they occur on the bridge. However, it is often impractical to monitor bridges for extended periods of time which raises questions about the accuracy of calculated characteristic load effects.
Soft Load Testing, as opposed to Proof Load or Diagnostic Load Testing, is the direct measurement of load effects on bridges subject to random traffic. This paper considers the influence of measurement
periods on the accuracy of soft load testing predictions of characteristic load effects, including VBI, for bridges with two lanes of opposing traffic. It concludes that, even for relatively short time periods, the
estimates are reasonably accurate and tend to be conservative. Provided the data is representative, Soft Load Testing is shown to be a useful tool for calculating characteristic total load effect.Other funderEuropean 6th Framework Project ARCHES (Assessment and Rehabilitation of Central European Highway Structures)au, ke - AS 04/11/201
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
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