University of Nevada, Reno

About: University of Nevada, Reno is a education organization based out in Reno, Nevada, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13561 authors who have published 28217 publications receiving 882002 citations. The organization is also known as: University of Nevada & Nevada State University.

Deep convolutional networks do not classify based on global object shape.

Abstract: Deep convolutional networks (DCNNs) are achieving previously unseen performance in object classification, raising questions about whether DCNNs operate similarly to human vision. In biological vision, shape is arguably the most important cue for recognition. We tested the role of shape information in DCNNs trained to recognize objects. In Experiment 1, we presented a trained DCNN with object silhouettes that preserved overall shape but were filled with surface texture taken from other objects. Shape cues appeared to play some role in the classification of artifacts, but little or none for animals. In Experiments 2–4, DCNNs showed no ability to classify glass figurines or outlines but correctly classified some silhouettes. Aspects of these results led us to hypothesize that DCNNs do not distinguish object’s bounding contours from other edges, and that DCNNs access some local shape features, but not global shape. In Experiment 5, we tested this hypothesis with displays that preserved local features but disrupted global shape, and vice versa. With disrupted global shape, which reduced human accuracy to 28%, DCNNs gave the same classification labels as with ordinary shapes. Conversely, local contour changes eliminated accurate DCNN classification but caused no difficulty for human observers. These results provide evidence that DCNNs have access to some local shape information in the form of local edge relations, but they have no access to global object shapes.

An Examination of Audit Delay: Further Evidence from New Zealand

Abstract: An important qualitative attribute of financial statements is timeliness. The recognition that the length of the audit may be the single most important determinant affecting the timing of earnings' announcements has motivated recent research on audit delay. The present study extends prior research by examining the multivariate relationship between a set of explanatory variables and audit delay for a large sample of New Zealand public companies. Further, the study includes two explanatory variables, company control (i.e. owner control versus manager control) and debt proportion, which have not previously been considered. The results indicate that both company size and sign of income significantly affect audit delay across the two years examined. Five other explanatory variables significantly affected audit delay for one of the two years examined. The adjusted R2s of the regression models, however, were relatively low. Additional analysis was also performed on each company control subsample. These ...

Morphometry and Average Temperature Affect Lake Stratification Responses to Climate Change

Abstract: Climate change is affecting lake stratification with consequences for water quality and the benefits that lakes provide to society. Here we use long-term temperature data (1970–2010) from 26 lakes around the world to show that climate change has altered lake stratification globally and that the magnitudes of lake stratification changes are primarily controlled by lake morphometry (mean depth, surface area, and volume) and mean lake temperature. Deep lakes and lakes with high average temperatures have experienced the largest changes in lake stratification even though their surface temperatures tend to be warming more slowly. These results confirm that the nonlinear relationship between water density and water temperature and the strong dependence of lake stratification on lake morphometry makes lake temperature trends relatively poor predictors of lake stratification trends.

Opiates and elderly: use and side effects.

Abstract: The evaluation of pain and the subsequent issue of pain control is a clinical challenge that all healthcare providers face. Pain in the elderly population is especially difficult given the myriad of physiological, pharmacological, and psychological aspects of caring for the geriatric patient. Opiates are the mainstay of pain treatment throughout all age groups but special attention must be paid to the efficacy and side effects of these powerful drugs when prescribing to a population with impaired metabolism, excretion and physical reserve. In a random chart review of 300 US veterans, 44% of those receiving an analgesic also received opioids. The increasing use of opiates for pain management by healthcare practitioners requires that those prescribing opioids be aware of the special considerations for treating the elderly. This article will address the precautions one must take when using opiates in the geriatric population, as well as the side effects and ways to minimize them.