Institution
University of Wisconsin–Milwaukee
Education•Milwaukee, Wisconsin, United States•
About: University of Wisconsin–Milwaukee is a education organization based out in Milwaukee, Wisconsin, United States. It is known for research contribution in the topics: Population & Gravitational wave. The organization has 11839 authors who have published 28034 publications receiving 936438 citations. The organization is also known as: UWM & University of Wisconsin-Milwaukee.
Topics: Population, Gravitational wave, Poison control, LIGO, Health care
Papers published on a yearly basis
Papers
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TL;DR: Two species of forest birds, the least flycatcher and the red-eyed vireo, when breeding in the same season in the the same habitat, adjust their temporal pattern of singing to avoid the overlapping of songs.
Abstract: Two species of forest birds, the least flycatcher and the red-eyed vireo, when breeding in the same season in the same habitat, adjust their temporal pattern of singing to avoid the overlapping of songs. The avoidance of acoustic interference is more marked in the flycatcher, which has a briefer song than the vireo.
195 citations
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TL;DR: Online communities deserve better than their current treatment---where they are largely relegated to the fringes of health care.
Abstract: Online communities deserve better than their current treatment---where they are largely relegated to the fringes of health care.
195 citations
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TL;DR: The as-produced black phosphorous-based field-effect transistor (FET) biosensor showed both high sensitivity and selectivity towards human immunoglobulin G.
194 citations
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TL;DR: The performance and energy benefits of a liter-scale upflow microbial desalination cell (UMDC) were evaluated, and the removal rate of total dissolved solid (TDS) increased with an increased hydraulic retention time, although TDS reduction in artificial seawater was lower than that in salt solution.
Abstract: Bioelectrochemical desalination is potentially advantageous because of bioenergy production and integrated wastewater treatment and desalination. In this work, the performance and energy benefits of a liter-scale upflow microbial desalination cell (UMDC) were evaluated. The UMDC desalinated both salt solution (NaCl) and artificial seawater, and the removal rate of total dissolved solid (TDS) increased with an increased hydraulic retention time, although TDS reduction in artificial seawater was lower than that in salt solution. Our analysis suggested that electricity generation was a predominant factor in removing TDS (more than 70%), and that other factors, like water osmosis and unknown processes, also contributed to TDS reduction. It was more favorable given the high energy efficiency, when treating salt solution, to operate the UMDC under the condition of high power output compared with that of high current generation because of the amount of energy production; while high current generation was more desired with seawater desalination because of lower salinity in the effluent. Under the condition of the high power output and the assumption of the UMDC as a predesalination in connection with a reversal osmosis (RO) system, the UMDC could produce electrical energy that might potentially account for 58.1% (salt solution) and 16.5% (artificial seawater) of the energy required by the downstream RO system. Our results demonstrated the great potential of bioelectrochemical desalination.
194 citations
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TL;DR: The unexpected conclusion that most rare variants have modest-to-small effect sizes on phenotypic variation is highlighted, which has major implications for the understanding of the genetic architecture of complex traits in the context of the unexplained heritability challenge.
Abstract: Genome-wide association studies (GWASs) have successfully uncovered thousands of robust associations between common variants and complex traits and diseases. Despite these successes, much of the heritability of these traits remains unexplained. Because low-frequency and rare variants are not tagged by conventional genome-wide genotyping arrays, they may represent an important and understudied component of complex trait genetics. In contrast to common variant GWASs, there are many different types of study designs, assays and analytic techniques that can be utilized for rare variant association studies (RVASs). In this review, we briefly present the different technologies available to identify rare genetic variants, including novel exome arrays. We also compare the different study designs for RVASs and argue that the best design will likely be phenotype-dependent. We discuss the main analytical issues relevant to RVASs, including the different statistical methods that can be used to test genetic associations with rare variants and the various bioinformatic approaches to predicting in silico biological functions for variants. Finally, we describe recent rare variant association findings, highlighting the unexpected conclusion that most rare variants have modest-to-small effect sizes on phenotypic variation. This observation has major implications for our understanding of the genetic architecture of complex traits in the context of the unexplained heritability challenge.
194 citations
Authors
Showing all 11948 results
Name | H-index | Papers | Citations |
---|---|---|---|
Caroline S. Fox | 155 | 599 | 138951 |
Mark D. Griffiths | 124 | 1238 | 61335 |
Benjamin William Allen | 124 | 807 | 87750 |
James A. Dumesic | 118 | 615 | 58935 |
Richard O'Shaughnessy | 114 | 462 | 77439 |
Patrick Brady | 110 | 442 | 73418 |
Laura Cadonati | 109 | 450 | 73356 |
Stephen Fairhurst | 109 | 426 | 71657 |
Benno Willke | 109 | 508 | 74673 |
Benjamin J. Owen | 108 | 351 | 70678 |
Kenneth H. Nealson | 108 | 483 | 51100 |
P. Ajith | 107 | 372 | 70245 |
Duncan A. Brown | 107 | 567 | 68823 |
I. A. Bilenko | 105 | 393 | 68801 |
F. Fidecaro | 105 | 569 | 74781 |