2,669 research outputs found
Arkansas Corn and Grain Sorghum Peformance Tests 2017
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture. The tests provide information to companies marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers
Arkansas Corn and Grain Sorghum Performance Tests 2014
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture. The tests provide information to companies marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers
Arkansas Soybean Performance Tests 2015
Soybean variety and strain performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture’s Arkansas Crop Variety Improvement Program. The tests provide information to companies developing varieties and/or marketing seed within the State, and aid the Arkansas Cooperative Extension Service in formulating variety recommendations for soybean producers
Solving the kilo-second QPO problem of the intermediate polar GK Persei
We detect the likely optical counterpart to previously reported X-ray QPOs in
spectrophotometry of the intermediate polar GK Persei during the 1996 dwarf
nova outburst. The characteristic timescales range between 4000--6000 s.
Although the QPOs are an order of magnitude longer than those detected in the
other dwarf novae we show that a new QPO model is not required to explain the
long timescale observed. We demonstrate that the observations are consistent
with oscillations being the result of normal-timescale QPOs beating with the
spin period of the white dwarf. We determine the spectral class of the
companion to be consistent with its quiescent classification and find no
significant evidence for irradiation over its inner face. We detect the white
dwarf spin period in line fluxes, V/R ratios and Doppler-broadened emission
profiles.Comment: 14 pages, 11 figures. Accepted for publication in MNRA
Arkansas Soybean Performance Tests 2018
Soybean variety and strain performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture’s Arkansas Crop Variety Improvement Program. The tests provide information to companies developing varieties and/or marketing seed within the State, and aid the Arkansas Cooperative Extension Service in formulating variety recommendations for soybean producers
Arkansas Soybean Performance Tests 2011
Soybean variety and strain performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture Arkansas Crop Variety Improvement Program. The tests provide information to companies developing varieties and/or marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating variety recommendations for soybean producers
Arkansas Soybean Performance Tests 2012
Soybean variety and strain performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture Arkansas Crop Variety Improvement Program. The tests provide information to companies developing varieties and/or marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating variety recommendations for soybean producers
Conceptualizing design affordances from a cognitive perspective
The term affordance carries multiple meanings for designers. Traditionally, affordances were discussed within a Gibsonian framework as arising from direct perception of physical constraints. However, some authors extended the meaning to include learned cultural constraints, leading to a theoretical debate about whether designers should draw a distinction between perceptual affordances and learned cultural conventions. In this dissertation it is suggested that a broader meaning of affordance is more appropriate for designers and that a unified account of affordances can be achieved using a cognitive conceptualization of perceived affordances. Within this cognitive framework, perceived affordances arise from automatic processes in the user that either are inborn or have developed over time as consistent interactions produce changes in long-term memory. Well learned conventions are examples of the latter. The cognitive mechanisms responsible for how perceived affordances arise and how they affect the cognitive system are presented along with a flowchart to help guide designer decisions.
Three experiments examining empirical differences between affordances and conventions are reported. The first experiment asked whether users have developed conventions in the absence of affordances. A simple task was used in which participants pressed buttons in response to directional cues. The results showed that affordances exist when the spatial configuration of the buttons is congruent with directional cues. In the absence of affordances, most participants demonstrated consistent button-to-action mapping that represented a convention. Behavioral differences between affordances and conventions were not found. The second experiment confirmed that in ambiguous tasks, conventions guide expectancies about button-to-action mappings. The cognitive attributes of affordances and conventions were examined in the third experiment by manipulating working memory load and expected interaction congruency. Results indicated some behavioral differences between acting on affordances and acting on conventions. However, violating the button-to-action mappings defining either an affordance or a convention produced similar performance costs. Taken together, the results suggest that after the initial learning period, conventions play a critical role in the perception of a design\u27s available actions, just as do perceptual affordances. Therefore, designers ought to employ perceptual affordances when possible and when that is not feasible reuse established conventions
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