The Effect of Temperature on the Susceptibility of Eastern Newts to Two Lethal Pathogens

Undergraduate Basi

Adverse Aftereffects of Methotrexate as Chemotherapy on Cognitive Deficits in Rat Models

Patients with acute lymphoblastic leukemia have a high five-year survival rate thanks to methotrexate (MTX). However, cognitive side effects are reported, characterized as chemo brain. The study investigated if impulsiveness is part of the aberrant cognitive functions after being exposed to MTX in the early stage of physical development. Adolescent rats were injected with either phosphate-buffered saline (PBS) or MTX. The novel object recognition (NOR) task was conducted a month after the injections to measure the memory deficits. The discounting task was performed after the rats completed training on a fixed-ratio one schedule for both levers. The NOR test showed both the PBS and MTX rats recognized the novel object; however, the PBS group spent more time inspecting the novel object than the MTX group. Initial results from two rats (one from each group) for the discounting task showed that the PBS-treated rat preferred the immediate reward at the beginning and had increased omissions during the later trials. The MTX rat showed a consistent preference for the immediate lever across the entire procedure. These composite findings suggested cognitive deficits are not apparent within one month of MTX treatment, yet the impulsiveness is more apparent after MTX exposure

Queue-Architecture and Stability Analysis in Cooperative Relay Networks

An abstraction of the physical layer coding using bit pipes that are coupled through data-rates is insufficient to capture notions such as node cooperation in cooperative relay networks. Consequently, network-stability analyses based on such abstractions are valid for non-cooperative schemes alone and meaningless for cooperative schemes. Motivated from this, this paper develops a framework that brings the information-theoretic coding scheme together with network-stability analysis. This framework does not constrain the system to any particular achievable scheme, i.e., the relays can use any cooperative coding strategy of its choice, be it amplify/compress/quantize or any alter-and-forward scheme. The paper focuses on the scenario when coherence duration is of the same order of the packet/codeword duration, the channel distribution is unknown and the fading state is only known causally. The main contributions of this paper are two-fold: first, it develops a low-complexity queue-architecture to enable stable operation of cooperative relay networks, and, second, it establishes the throughput optimality of a simple network algorithm that utilizes this queue-architecture.Comment: 16 pages, 1 figur

Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for Weakly Supervised Top-down Salient Object Detection

Top-down saliency models produce a probability map that peaks at target locations specified by a task/goal such as object detection. They are usually trained in a fully supervised setting involving pixel-level annotations of objects. We propose a weakly supervised top-down saliency framework using only binary labels that indicate the presence/absence of an object in an image. First, the probabilistic contribution of each image region to the confidence of a CNN-based image classifier is computed through a backtracking strategy to produce top-down saliency. From a set of saliency maps of an image produced by fast bottom-up saliency approaches, we select the best saliency map suitable for the top-down task. The selected bottom-up saliency map is combined with the top-down saliency map. Features having high combined saliency are used to train a linear SVM classifier to estimate feature saliency. This is integrated with combined saliency and further refined through a multi-scale superpixel-averaging of saliency map. We evaluate the performance of the proposed weakly supervised topdown saliency and achieve comparable performance with fully supervised approaches. Experiments are carried out on seven challenging datasets and quantitative results are compared with 40 closely related approaches across 4 different applications.Comment: 14 pages, 7 figure