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Institution

University of Rhode Island

EducationKingston, Rhode Island, United States
About: University of Rhode Island is a education organization based out in Kingston, Rhode Island, United States. It is known for research contribution in the topics: Population & Bay. The organization has 11464 authors who have published 22770 publications receiving 841066 citations. The organization is also known as: URI & Rhode Island College of Agriculture and the Mechanic Arts.


Papers
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Journal ArticleDOI
21 May 2013-PLOS ONE
TL;DR: This study provides physiological datasets fundamental to understanding functional responses of phytoplankton growth rates to temperature that can be used to parameterise global ocean model projections of environmental change and to provide initial insights into the magnitude of regional biogeographic change in ocean biota in the coming decades.
Abstract: ‘‘It takes a village to finish (marine) science these days’’ Paraphrased from Curtis Huttenhower (the Human Microbiome project) The rapidity and complexity of climate change and its potential effects on ocean biota are challenging how ocean scientists conduct research. One way in which we can begin to better tackle these challenges is to conduct community-wide scientific studies. This study provides physiological datasets fundamental to understanding functional responses of phytoplankton growth rates to temperature. While physiological experiments are not new, our experiments were conducted in many laboratories using agreed upon protocols and 25 strains of eukaryotic and prokaryotic phytoplankton isolated across a wide range of marine environments from polar to tropical, and from nearshore waters to the open ocean. This community-wide approach provides both comprehensive and internally consistent datasets produced over considerably shorter time scales than conventional individual and often uncoordinated lab efforts. Such datasets can be used to parameterise global ocean model projections of environmental change and to provide initial insights into the magnitude of regional biogeographic change in ocean biota in the coming decades. Here, we compare our datasets with a compilation of literature data on phytoplankton growth responses to temperature. A comparison with prior published data suggests that the optimal temperatures of individual species and, to a lesser degree, thermal niches were similar across studies. However, a comparison of the maximum growth rate across studies revealed significant departures between this and previously collected datasets, which may be due to differences in the cultured isolates, temporal changes in the clonal isolates in cultures, and/or differences in culture conditions. Such methodological differences mean that using particular trait measurements from the prior literature might introduce unknown errors and bias into modelling projections. Using our community-wide approach we can reduce such protocol-driven variability in culture studies, and can begin to address more complex issues such as the effect of multiple environmental drivers on ocean biota.

379 citations

Journal Article
28 Oct 2012
TL;DR: A comprehensive review of the literature was conducted with findings consistently indicating academic deficits associated with ADHD in college students, with limited studies limited by lack of controlled investigations, use of small samples, and lack of confirmation of diagnostic status.
Abstract: Approximately 2 to 8% of the college population reports clinically significant levels of ADHD symptomatology and at least 25% of college students with disabilities are diagnosed with ADHD. A comprehensive review of the literature was conducted with findings consistently indicating academic deficits associated with ADHD in college students. It is less clear whether this disorder significantly impacts social, psychological, and neuropsychological functioning. Although several self- and parent-report measures have been developed for this population, very few studies of assessment methods have been conducted. Similarly, no controlled studies of psychopharmacological, psychosocial, or educational interventions have been completed in samples of college students with ADHD. Non-prescribed use (i.e., diversion) of stimulant medication is a growing problem with approximately 7% of college students reporting this behavior. Studies, to date, are limited by lack of controlled investigations, use of small samples, and lack of confirmation of diagnostic status. Comprehensive and methodologically sound investigations are needed, especially regarding treatment, to promote the success of students with ADHD in higher education settings.

377 citations

Journal ArticleDOI
TL;DR: In this article, the random element isodisplacement (REI) model has been modified to include the polarization field, thereby enabling it to predict the long-wavelength longitudinal optic frequencies of a mixed crystal.
Abstract: The random-element-isodisplacement (REI) model has been modified to include the polarization field, thereby enabling it to predict the long-wavelength longitudinal optic frequencies of a mixed crystal. A criterion has been obtained to determine whether a given mixed crystal will exhibit "one-mode" or "two-mode" behavior. Under certain conditions the modified REI (MREI) model may also be made to work for mixed crystals with one-mode behavior. The so-called "virtual-crystal model" applicable to this type of crystals becomes a special case of the MREI model. Given the properties of the "pure" end-members $\mathrm{AB}$ and $\mathrm{AC}$, the MREI model then can determine whether $A{B}_{1\ensuremath{-}x}{C}_{x}$ is going to display one-mode or two-mode behavior, and can predict the concentration dependence of the TO and LO modes. A large number of examples of both types of mixed crystals is given.

375 citations

Journal ArticleDOI
Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3, Fausto Acernese4  +1692 moreInstitutions (195)
TL;DR: In this article, the authors reported the observation of gravitational waves from two compact binary coalescences in LIGO's and Virgo's third observing run with properties consistent with neutron star-black hole (NSBH) binaries.
Abstract: We report the observation of gravitational waves from two compact binary coalescences in LIGO’s and Virgo’s third observing run with properties consistent with neutron star–black hole (NSBH) binaries. The two events are named GW200105_162426 and GW200115_042309, abbreviated as GW200105 and GW200115; the first was observed by LIGO Livingston and Virgo and the second by all three LIGO–Virgo detectors. The source of GW200105 has component masses 8.9−1.5+1.2 and 1.9−0.2+0.3M⊙ , whereas the source of GW200115 has component masses 5.7−2.1+1.8 and 1.5−0.3+0.7M⊙ (all measurements quoted at the 90% credible level). The probability that the secondary’s mass is below the maximal mass of a neutron star is 89%–96% and 87%–98%, respectively, for GW200105 and GW200115, with the ranges arising from different astrophysical assumptions. The source luminosity distances are 280−110+110 and 300−100+150Mpc , respectively. The magnitude of the primary spin of GW200105 is less than 0.23 at the 90% credible level, and its orientation is unconstrained. For GW200115, the primary spin has a negative spin projection onto the orbital angular momentum at 88% probability. We are unable to constrain the spin or tidal deformation of the secondary component for either event. We infer an NSBH merger rate density of 45−33+75Gpc−3yr−1 when assuming that GW200105 and GW200115 are representative of the NSBH population or 130−69+112Gpc−3yr−1 under the assumption of a broader distribution of component masses.

374 citations


Authors

Showing all 11569 results

NameH-indexPapersCitations
James M. Tiedje150688102287
Roberto Kolter12031552942
Robert S. Stern12076162834
Michael S. Feld11955251968
William C. Sessa11738352208
Kenneth H. Mayer115135164698
Staffan Kjelleberg11442544414
Kevin C. Jones11474450207
David R. Nelson11061566627
Peter K. Smith10785549174
Peter M. Groffman10645740165
Ming Li103166962672
Victor Nizet10256444193
Anil Kumar99212464825
James O. Prochaska9732073265
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202344
2022161
20211,106
20201,058
2019996
2018888