20,292 research outputs found
Too Cool at School - Understanding Cool Teenagers
No full textCool can be thought about on three levels; the having of cool things, the doing of cool stuff and the being of cool. Whilst there is some understanding of cool products, the concept, of being cool is much more elusive to designers and developers of systems. This study examines this space by using a set of pre-prepared teenage personas as probes with a set of teenagers with the aim of better understanding what is, and isn’t cool about teenage behaviours. The study confirmed that teenagers are able to rank personas in order of cool and that the process of using personas can provide valuable insights around the phenomenon of cool. The findings confirm that cool is indeed about having cool things but in terms of behaviours cool can be a little bit, but not too, naughty
Constructing the Cool Wall: A tool to explore teen meanings of cool
No full textThis paper describes the development and exploration of a tool designed to assist in investigating ‘cool’ as it applies to the design of interactive products for teenagers. The method involved the derivation of theoretical understandings of cool from literature that resulted in identification of seven core categories for cool, which were mapped to a hierarchy. The hierarchy includes having of cool things, the doing of cool activities and the being of cool. This paper focuses on a tool, the Cool Wall, developed to explore one specific facet of the hierarchy; exploring shared understanding of having cool things. The paper describes the development and construction of the tool, using a heavily participatory approach, and the results and analysis of three studies. The first study was carried out over 2 days in a school in the UK. The results of the study both provide clear insights into cool things and enable a refined understanding of cool in this context. Two additional studies are then used to identify potential shortcomings in the Cool Wall methodology. In the second study participants were able to populate a paper cool wall with anything they chose, this revealed two potential new categories of images and that the current set of images covered the majority of key themes. In the third study teenagers interpretations of the meaning of the images included in the Cool Wall were explored, this showed that the majority of meanings were as expected and a small number of unexpected interpretations provided some valuable insights
Discriminating cool-water from warm-water carbonates and their diagenetic environments using element geochemistry: the Oligocene Tikorangi Formation (Taranaki Basin) and the dolomite effect
No full textFields portrayed within bivariate element plots have been used to distinguish between carbonates formed in warm- (tropical) water and cool- (temperate) water depositional settings. Here, element concentrations (Ca, Mg, Sr, Na, Fe, and Mn) have been determined for the carbonate fraction of bulk samples from the late Oligocene Tikorangi Formation, a subsurface, mixed dolomite-calcite, cool-water limestone sequence in Taranaki Basin, New Zealand. While the occurrence of dolomite is rare in New Zealand Cenozoic carbonates, and in cool-water carbonates more generally, the dolomite in the Tikorangi carbonates is shown to have a dramatic effect on the "traditional" positioning of cool-water limestone fields within bivariate element plots. Rare undolomitised, wholly calcitic carbonate samples in the Tikorangi Formation have the following average composition: Mg 2800 ppm; Ca 319 100 ppm; Na 800 ppm; Fe 6300 ppm; Sr 2400 ppm; and Mn 300 ppm. Tikorangi Formation dolomite-rich samples (>15% dolomite) have average values of: Mg 53 400 ppm; Ca 290 400 ppm; Na 4700 ppm; Fe 28 100 ppm; Sr 5400 ppm; and Mn 500 ppm. Element-element plots for dolomite-bearing samples show elevated Mg, Na, and Sr values compared with most other low-Mg calcite New Zealand Cenozoic limestones. The increased trace element contents are directly attributable to the trace element-enriched nature of the burial-derived dolomites, termed here the "dolomite effect". Fe levels in the Tikorangi Formation carbonates far exceed both modern and ancient cool-water and warm-water analogues, while Sr values are also higher than those in modern Tasmanian cool-water carbonates, and approach modern Bahaman warm-water carbonate values. Trace element data used in conjunction with more traditional petrographic data have aided in the diagenetic interpretation of the carbonate-dominated Tikorangi sequence. The geochemical results have been particularly useful for providing more definitive evidence for deep burial dolomitisation of the deposits under the influence of marine-modified pore fluids
Cool Seq Tool
No full text<h2>What's Changed</h2>
<ul>
<li>fix: StrEnum to Enum for python < 3.11 by @korikuzma in https://github.com/GenomicMedLab/cool-seq-tool/pull/258</li>
<li>docs: add generated changelog by @jsstevenson in https://github.com/GenomicMedLab/cool-seq-tool/pull/259</li>
<li>style: add additional ruff checks by @jsstevenson in https://github.com/GenomicMedLab/cool-seq-tool/pull/260</li>
<li>docs: fix readme links to docs by @jsstevenson in https://github.com/GenomicMedLab/cool-seq-tool/pull/262</li>
<li>build: replace pyliftover with agct to improve performance by @korikuzma in https://github.com/GenomicMedLab/cool-seq-tool/pull/264</li>
<li>fix: package version by @korikuzma in https://github.com/GenomicMedLab/cool-seq-tool/pull/265</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/GenomicMedLab/cool-seq-tool/compare/0.4.0-dev1...0.4.0-dev2</p>If you use this software, please cite it as below
Cool Seq Tool
No full text<h2>What's Changed</h2>
<ul>
<li>build: pin ruff to v0.2.0 by @korikuzma in https://github.com/GenomicMedLab/cool-seq-tool/pull/272</li>
<li>feat: Determine adjacent exon for fusions with non-exonic breakpoint by @jarbesfeld in https://github.com/GenomicMedLab/cool-seq-tool/pull/268</li>
</ul>
<h2>New Contributors</h2>
<ul>
<li>@jarbesfeld made their first contribution in https://github.com/GenomicMedLab/cool-seq-tool/pull/268</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/GenomicMedLab/cool-seq-tool/compare/0.4.0-dev2...0.4.0-dev3</p>If you use this software, please cite it as below
Cool Seq Tool
No full text<ul>
<li>fix: return type for FeatureOverlap get_grch38_mane_gene_cds_overlap by @korikuzma in <a href="https://github.com/GenomicMedLab/cool-seq-tool/commit/67a241c3ff9e01de33aeb9111d84a8278f358ff3">67a241c</a></li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/GenomicMedLab/cool-seq-tool/compare/0.1.14-dev2...0.1.14-dev3</p>If you use this software, please cite it as below
Cool roof technology in London: An experimental and modelling study
No full textThis is the post-print version of the final paper published in Journal of Energy and Buildings. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2011 Elsevier B.V.One of the primary reasons for the application of cool materials is their energy and associated environmental impact on the built environment. Cool materials are usually applied on the roof of buildings to reduce cooling energy demand. The relative benefits of this reduction depend on the construction of the building, external weather conditions and use of the building. This paper examines the impact from the application of a reflective paint on a flat roof in a naturally ventilated office building in the area of London, UK where the climate is moderate with high heating demand by buildings. The environmental conditions (internal/external air and surface temperatures) of the building were monitored before and after the application of the cool roof during the summer. It was found that internal temperatures were reduced after the application of the cool roof. The building was modelled using TRNSYS and the model was calibrated successfully using the measurements. A parametric analysis was carried out by varying the reflectivity and insulation of the roof and ventilation rate; the heating and cooling demand for a year was calculated using the Summer Design Year for London as the weather file. It was found that cooling demand is significantly reduced, heating demand is increased and the total energy savings vary between 1 and 8.5% relative to an albedo of 0.1 for the same conditions. In free floating (naturally ventilated) buildings summer comfort is improved but there is a penalty of increased heating energy during the winter. Thermal comfort can be improved by an average of 2.5 °C (operative temperature difference for a change of 0.5 in albedo) but heating demand could be increased by 10% for a ventilation rate of 2 air changes per hour. The results indicate that in the case of temperate climates the type, operation and thermal characteristics of the building should be considered carefully to determine potential benefits of the application of cool roof technology. For the examined case-study, it was found that a roof reflectivity of 0.6–0.7 is the optimum value to achieve energy savings in a cooled office, improve summer internal thermal conditions in a non-cooled office (albeit with some heating energy penalty). It indicates that it is a suitable strategy for refurbishment of existing offices to improve energy efficiency or internal environmental conditions in the summer and should be considered in the design of new offices together with other passive energy efficient strategies.Intelligent Energy Europe (IEE
How Phil Collins became cool (no, really)
No full textThe piece is based on an article the authors have coming up in Research in the Sociology of Organisations.Marketing and Consumer Researc
COOL AND CONSUMERS' WILLINGNESS TO PAY IN THE FRESH PRODUCE INDUSTRY - SOME INITIAL IMPRESSIONS FROM THE FIELD
No full textThe debate about Country-of-Origin labeling (COOL) has centered on the projected benefits and costs of its implementation. This study uses data from a Vickery auction (n=200) to estimate willingness to pay for COOL. Preliminary findings suggest, on average, consumers value COOL, are not homogeneous, and prefer fresh produce grown in the U.S.Consumer/Household Economics,
TNOs are Cool: A Survey of the Trans-Neptunian Region — Herschel Observations and Thermal Modeling of Large Samples of Kuiper Belt Objects
No full textWe present results of more than 50 TNOs (classical, Plutinos, SDO, detached) derived from Herschel ("TNOs are Cool"-project) and Spitzer observations: sizes, albedos, densities, dynamic group sample properties, correlations
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