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Institution

University of Wisconsin–Milwaukee

EducationMilwaukee, 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.


Papers
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Journal ArticleDOI
TL;DR: High–resolution palaeolimnological data are presented, which show that increases in phytoplankton production developed from the 1930s onwards, which parallels human–population growth and agricultural activity in the Lake Victoria drainage basin.
Abstract: Lake Victoria, the largest tropical lake in the world, suffers from severe eutrophication and the probable extinction of up to half of its 500+ species of endemic cichlid fishes. The continuing degradation of Lake Victoria's ecological functions has serious long-term consequences for the ecosystem services it provides, and may threaten social welfare in the countries bordering its shores. Evaluation of recent ecological changes in the context of aquatic food-web alterations, catchment disturbance and natural ecosystem variability has been hampered by the scarcity of historical monitoring data. Here, we present high-resolution palaeolimnological data, which show that increases in phytoplankton production developed from the 1930s onwards, which parallels human-population growth and agricultural activity in the Lake Victoria drainage basin. Dominance of bloom-forming cyanobacteria since the late 1980s coincided with a relative decline in diatom growth, which can be attributed to the seasonal depletion of dissolved silica resulting from 50 years of enhanced diatom growth and burial. Eutrophication-induced loss of deep-water oxygen started in the early 1960s, and may have contributed to the 1980s collapse of indigenous fish stocks by eliminating suitable habitat for certain deep-water cichlids. Conservation of Lake Victoria as a functioning ecosystem is contingent upon large-scale implementation of improved land-use practices.

372 citations

Journal ArticleDOI
TL;DR: Martell et al. as discussed by the authors developed an initial set of items for the Behavioral Activation for Depression Scale (BADS) and submitted these items to an exploratory factor analysis in an initial administration (Study 1, N = 391), and submitted the resulting scale to a confirmatory factor analytically in a second administration (study 2, n = 319).
Abstract: In Behavioral Activation (BA) for depression (Martell, C. R., Addis, M. E., & Jacobson, N. S. (2001)), which has recently received empirical support in a large randomized trial, therapists pay close attention to the function of behavior and the role of aversive controlling stimuli and escape and avoidance behavior in depression. A key variable to measure in studies of BA is when and how clients become more activated over the course of treatment. This study sought to develop an initial set of items for the Behavioral Activation for Depression Scale (BADS), submit these items to an exploratory factor analysis in an initial administration (Study 1, N = 391), and submit the resulting scale to a confirmatory factor analysis in a second administration (Study 2, N = 319). Results indicated four factors (Activation, Avoidance/Rumination, Work/School Impairment, and Social Impairment) with good factor structure, internal consistency, and test-retest reliability. Evidence for construct and predictive validity is presented.

371 citations

Journal ArticleDOI
TL;DR: Gas-kinetic base trip modeling approach was used for the highway portion trip and for the local road portion the traffic light sequences throughout the trip will be synchronized with the vehicle operation and results demonstrated significant improvement in fuel economy using DP based charge-depletion control compared to rule based control.
Abstract: Hybrid electric vehicles (HEVs) have demonstrated the capability to improve fuel economy and emissions. The plug-in HEV (PHEV), utilizing more battery power, has become a more attractive upgrade of the HEV. The charge-depletion mode is more appropriate for the power management of PHEVs, i.e., the state of charge (SOC) is expected to drop to a low threshold when the vehicle reaches the trip destination. Trip information has so far been considered as future information for vehicle operation and is thus not available a priori. This situation can be changed by the recent advancement in intelligent transportation systems (ITSs) based on the use of on-board global positioning systems (GPSs), geographical information systems (GISs), and advanced traffic flow modeling techniques. In this paper, a new approach to optimal power management of PHEVs in the charge-depletion mode is proposed with driving cycle modeling based on the historic traffic information. A dynamic programming (DP) algorithm is applied to reinforce the charge-depletion control such that the SOC drops to a specific terminal value at the end of the driving cycle. The vehicle model was based on a hybrid electric sport utility vehicle (SUV). Only fuel consumption is considered for the current stage of the study. A simulation study was conducted for several standard driving cycles and two trip models using the proposed method, and the results showed significant improvement in fuel economy compared with a rule-based control and a depletion sustenance control for most cases. Furthermore, the results showed much better consistency in fuel economy compared with rule-based and depletion sustenance control.

370 citations

Journal ArticleDOI
TL;DR: Recovery of population genomes from surface ocean samples identified non-cyanobacterial diazotrophs that were widespread and abundant, including Proteobacteria and Planctomycetes, indicating their importance for nitrogen fixation in this environment.
Abstract: Nitrogen fixation in the surface ocean impacts global marine nitrogen bioavailability and thus microbial primary productivity. Until now, cyanobacterial populations have been viewed as the main suppliers of bioavailable nitrogen in this habitat. Although PCR amplicon surveys targeting the nitrogenase reductase gene have revealed the existence of diverse non-cyanobacterial diazotrophic populations, subsequent quantitative PCR surveys suggest that they generally occur in low abundance. Here, we use state-of-the-art metagenomic assembly and binning strategies to recover nearly one thousand non-redundant microbial population genomes from the TARA Oceans metagenomes. Among these, we provide the first genomic evidence for non-cyanobacterial diazotrophs inhabiting surface waters of the open ocean, which correspond to lineages within the Proteobacteria and, most strikingly, the Planctomycetes. Members of the latter phylum are prevalent in aquatic systems, but have never been linked to nitrogen fixation previously. Moreover, using genome-wide quantitative read recruitment, we demonstrate that the discovered diazotrophs were not only widespread but also remarkably abundant (up to 0.3% of metagenomic reads for a single population) in both the Pacific Ocean and the Atlantic Ocean northwest. Our results extend decades of PCR-based gene surveys, and substantiate the importance of heterotrophic bacteria in the fixation of nitrogen in the surface ocean.

369 citations

Journal ArticleDOI
TL;DR: The primary question for future research must focus on the accurate identification of patient subsets diagnosed with DCIS, including those persons who may be managed with less therapeutic intervention without sacrificing the excellent outcomes presently achieved.
Abstract: Objective To provide health-care providers, patients, and the general public with a responsible assessment of currently available data on the diagnosis and management of ductal carcinoma in situ (DCIS). Participants A non-Department of Health and Human Services, nonadvocate, 14-member panel representing the fields of oncology, radiology, surgery (general and reconstructive), pathology, radiation oncology, internal medicine, epidemiology, biostatistics, nursing, obstetrics and gynecology, preventative medicine and population health, and social work. In addition, 22 experts from pertinent fields presented data to the panel and conference audience. Evidence Presentations by experts and a systematic review of the literature prepared by the Minnesota Evidence-based Practice Center, through the Agency for Healthcare Research and Quality. Scientific evidence was given precedence over anecdotal experience. Conference process The panel drafted its statement based on scientific evidence presented in open forum and on published scientific literature. The draft statement was presented on the final day of the conference and circulated to the audience for comment. The panel released a revised statement later that day at http://consensus.nih.gov. This statement is an independent report of the panel and is not a policy statement of the National Institutes of Health or the Federal Government. Conclusions Clearly, the diagnosis and management of DCIS is highly complex with many unanswered questions, including the fundamental natural history of untreated disease. Because of the noninvasive nature of DCIS, coupled with its favorable prognosis, strong consideration should be given to elimination of the use of the anxiety-producing term "carcinoma" from the description of DCIS. The outcomes in women treated with available therapies are excellent. Thus, the primary question for future research must focus on the accurate identification of patient subsets diagnosed with DCIS, including those persons who may be managed with less therapeutic intervention without sacrificing the excellent outcomes presently achieved. Essential in this quest will be the development and validation of accurate risk stratification methods based on a comprehensive understanding of the clinical, pathological, and biological factors associated with DCIS.

369 citations


Authors

Showing all 11948 results

NameH-indexPapersCitations
Caroline S. Fox155599138951
Mark D. Griffiths124123861335
Benjamin William Allen12480787750
James A. Dumesic11861558935
Richard O'Shaughnessy11446277439
Patrick Brady11044273418
Laura Cadonati10945073356
Stephen Fairhurst10942671657
Benno Willke10950874673
Benjamin J. Owen10835170678
Kenneth H. Nealson10848351100
P. Ajith10737270245
Duncan A. Brown10756768823
I. A. Bilenko10539368801
F. Fidecaro10556974781
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022194
20211,150
20201,189
20191,085
20181,141