University of North Texas

About: University of North Texas is a education organization based out in Denton, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 11866 authors who have published 26984 publications receiving 705376 citations. The organization is also known as: Fight, North Texas & UNT.

Modulation of A(beta) peptides by estrogen in mouse models.

Abstract: Clinical studies have shown that estrogen deprivation through menopause is a risk factor in both the initiation and progression of Alzheimer's disease (AD) and that estrogen replacement therapy may be protective. One of the major pathological features in the human AD brain is the senile plaque, a proteinaceous structure composed mainly of heterogeneous peptides collectively known as A-beta (A(beta)). In vitro studies have linked estrogen with A(beta) modulation, suggesting that one-way that estrogen depletion at menopause may exacerbate the features of AD is through A(beta) accumulation. To test this, two studies were performed on transgenic models of amyloidosis. Firstly, transgenic mice without detectable amyloid aggregates were subjected to ovariectomy and estradiol supplementation, and A(beta) levels were assessed. Secondly, the effects of estrogen modulation were assessed in mice at an age when plaques would be forming initially. Overall, A(beta) levels were higher in estrogen-deprived mice than intact mice, and this effect could be reversed through the administration of estradiol. These data suggest that, in vivo, estrogen depletion leads to the accumulation of A(beta) in the CNS, which can be reversed through replacement of estradiol. These results provide evidence that post-menopausal estrogen depletion may be linked to an increased risk of AD through A(beta) modulation.

Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm

Abstract: In a heterogeneous Wireless Sensor Network (WSN), factors such as initial energy, data processing capability, etc greatly influence the network lifespan Despite the success of various clustering strategies of WSN, the numerous possible sensor clusters make searching for an optimal network structure an open challenge In this paper, we propose a Genetic Algorithm based method that optimizes heterogeneous sensor node clustering Compared with five state-of-the-art methods, our proposed method greatly extends the network life, and the average improvement with respect to the second best performance based on the first-node-die and the last-node-die is 338% and 13%, respectively The balanced energy consumption greatly improves the network life and allows the sensor energy to deplete evenly The computational efficiency of our method is comparable to the others and the overall average time across all experiments is 06 seconds with a standard deviation of 006

First‐generation undergraduate students' social support, depression, and life satisfaction.

Abstract: First-generation undergraduate students face challenging cross-socioeconomic cultural transitions into college life. The authors compared first- and non-first-generation undergraduate students’ social support, posttraumatic stress, depression symptoms, and life satisfaction. First-generation participants reported less social support from family and friends, more single-event traumatic stress, less life satisfaction, and marginally more depression symptomatology than non-first-generation participants, but significant generation–gender interactions showed first-generation women doing worse and first-generation men doing better than others.

Searching the Web: A survey of EXCITE users

Abstract: Web search services are now a major source of information for a growing number of people. We need to know more about how users search Web search engines to improve the effectiveness of their information retrieval. This paper reports results from a major study exploring users’ information searching behavior on the EXCITE Web search engine. The study is the first to investigate Web users’ successive searching behavior as they conduct related searches