Oregon State University

About: Oregon State University is a education organization based out in Corvallis, Oregon, United States. It is known for research contribution in the topics: Population & Gene. The organization has 28192 authors who have published 64044 publications receiving 2634108 citations. The organization is also known as: Oregon Agricultural College & OSU.

Small RNA duplexes function as mobile silencing signals between plant cells.

Abstract: In the plant RNA interference (RNAi) pathway, 21-nucleotide duplexes of small interfering RNA (siRNA) are processed from longer double-stranded RNA precursors by the RNaseIII Dicer-like 4 (DCL4). Single-stranded siRNAs then guide Argonaute 1 (AGO1) to execute posttranscriptional silencing of complementary target RNAs. RNAi is not cell-autonomous in higher plants, but the nature of the mobile nucleic acid(s) signal remains unknown. Using cell-specific rescue of DCL4 function and cell-specific inhibition of RNAi movement, we genetically establish that exogenous and endogenous siRNAs, as opposed to their precursor molecules, act as mobile silencing signals between plant cells. We further demonstrate physical movement of mechanically delivered, labeled siRNA duplexes that functionally recapitulate transgenic RNAi spread. Cell-to-cell movement is unlikely to involve AGO1-bound siRNA single strands, but instead likely involves siRNA duplexes.

Population Fluctuations of Mast-Eating Rodents Are Correlated with Production of Acorns

Abstract: I used a 14-year dataset on dynamics of mast-consuming rodents from an eastern deciduous forest to determine the relationship between population fluctuations of white-footed mice ( Peromyscus leucopus ), deer mice ( P. maniculatus ), and eastern chipmunks ( Tamias stria-tus ) and production of acorn mast. Mast (acorn) production was episodic with four excellent crops produced in 14 years. Densities of rodents in summer ranged from 3 to 103 animals/ha and correlated positively with production of mast the previous autumn (all r 2 > 0.56). During years of high production of mast, stores of acorn lasted throughout winter, whereas in most years, acorns were gone by January. During years of high production of mast, mice bred all winter, which resulted in high densities the following summer. Episodic production of mast and resulting fluctuations in consumers of mast have implications for the predator-satiation hypothesis and other community processes.

Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics

Abstract: Deep learning has greatly improved visual recognition in recent years. However, recent research has shown that there exist many adversarial examples that can negatively impact the performance of such an architecture. This paper focuses on detecting those adversarial examples by analyzing whether they come from the same distribution as the normal examples. Instead of directly training a deep neural network to detect adversarials, a much simpler approach was proposed based on statistics on outputs from convolutional layers. A cascade classifier was designed to efficiently detect adversarials. Furthermore, trained from one particular adversarial generating mechanism, the resulting classifier can successfully detect adversarials from a completely different mechanism as well. The resulting classifier is non-subdifferentiable, hence creates a difficulty for adversaries to attack by using the gradient of the classifier. After detecting adversarial examples, we show that many of them can be recovered by simply performing a small average filter on the image. Those findings should lead to more insights about the classification mechanisms in deep convolutional neural networks.

Dramatic declines in snowpack in the western US

Abstract: Mountain snowpack stores a significant quantity of water in the western US, accumulating during the wet season and melting during the dry summers and supplying much of the water used for irrigated agriculture, and municipal and industrial uses. Updating our earlier work published in 2005, we find that with 14 additional years of data, over 90% of snow monitoring sites with long records across the western US now show declines, of which 33% are significant (vs. 5% expected by chance) and 2% are significant and positive (vs. 5% expected by chance). Declining trends are observed across all months, states, and climates, but are largest in spring, in the Pacific states, and in locations with mild winter climate. We corroborate and extend these observations using a gridded hydrology model, which also allows a robust estimate of total western snowpack and its decline. We find a large increase in the fraction of locations that posted decreasing trends, and averaged across the western US, the decline in average April 1 snow water equivalent since mid-century is roughly 15–30% or 25–50 km3, comparable in volume to the West’s largest man-made reservoir, Lake Mead. Mountain snowpack stores huge amounts of water in the western US, supplying much of the water used to grow crops. A team of researchers from Oregon State University and UCLA found that spring snowpack declined almost everywhere, especially in the coastal states and other locations with mild winter climate. (Skiers will be relieved that declines were smaller in winter.) Not surprisingly, the declines are mostly related to warming climate. Using a physically-based model of the hydrologic cycle, which takes daily weather as inputs and computes snow accumulation and melt, runoff, etc., the researchers computed the total snowpack in the western US. Total snowpack declined 15–30%, and the amount of that lost water is comparable in volume to the West’s largest man-made reservoir, Lake Mead. Many water managers are already planning for a future with less snow, but this research emphasizes that the future is here.