Institution
University of Portsmouth
Education•Portsmouth, Portsmouth, United Kingdom•
About: University of Portsmouth is a education organization based out in Portsmouth, Portsmouth, United Kingdom. It is known for research contribution in the topics: Population & Galaxy. The organization has 5452 authors who have published 14256 publications receiving 424346 citations. The organization is also known as: Portsmouth and Gosport School of Science and Art & Portsmouth and Gosport School of Science and the Arts.
Topics: Population, Galaxy, Redshift, Context (language use), Computer science
Papers published on a yearly basis
Papers
More filters
••
Stanford University1, University of Arizona2, University of California, Santa Cruz3, University of Sussex4, Ludwig Maximilian University of Munich5, University of Portsmouth6, Rhodes University7, University College London8, Fermilab9, University of Paris10, University of Pennsylvania11, University of Illinois at Urbana–Champaign12, Australian National University13, Liverpool John Moores University14, University of Southampton15, University of Queensland16, Technische Universität München17, University of Michigan18, Swinburne University of Technology19, Lawrence Berkeley National Laboratory20, University of California, Berkeley21, University of KwaZulu-Natal22, Ohio State University23, University of Manchester24, Australian Astronomical Observatory25, University of Sydney26, University of São Paulo27, University of Edinburgh28, Texas A&M University29, Princeton University30, Max Planck Society31, California Institute of Technology32, University of Oxford33, Universidade Federal do Rio Grande do Sul34, University of Porto35, Argonne National Laboratory36
TL;DR: The redMaPPer algorithm as discussed by the authors was applied to 150 deg(2) of Science Verification (SV) data from the Dark Energy Survey (DES), and to the Sloan Digital Sky Survey (SDSS) DR8 photometric data set.
Abstract: We describe updates to the redMaPPer algorithm, a photometric red-sequence cluster finder specifically designed for large photometric surveys. The updated algorithm is applied to 150 deg(2) of Science Verification (SV) data from the Dark Energy Survey (DES), and to the Sloan Digital Sky Survey (SDSS) DR8 photometric data set. The DES SV catalog is locally volume limited and contains 786 clusters with richness lambda > 20 (roughly equivalent to M500c greater than or similar to 10(14) h(70)(-1)M(circle dot)) and 0.2 < z < 0.9. The DR8 catalog consists of 26,311 clusters with 0.08 < z < 0.6, with a sharply increasing richness threshold as a function of redshift for z greater than or similar to 0.35. The photometric redshift performance of both catalogs is shown to be excellent, with photometric redshift uncertainties controlled at the sigma(z)/(1+ z) similar to 0.01 level for z greater than or similar to 0.7, rising to similar to 0.02 at z similar to 0.9 in DES SV. We make use of Chandra and XMM X-ray and South Pole Telescope Sunyaev-Zeldovich data to show that the centering performance and mass-richness scatter are consistent with expectations based on prior runs of redMaPPer on SDSS data. We also show how the redMaPPer photo-z and richness estimates are relatively insensitive to imperfect star/galaxy separation and small-scale star masks.
258 citations
••
TL;DR: Serum ferritin concentrations provide a good assessment of an individual's iron status and the role of the essential amino acid, l‐lysine in hair loss also appears to be important and there is no evidence to support the popular view that low serum zinc concentrations cause hair loss.
Abstract: The literature reveals what little is known about nutritional factors and hair loss. What we do know emanates from studies in protein-energy malnutrition, starvation, and eating disorders. In otherwise healthy individuals, nutritional factors appear to play a role in subjects with persistent increased hair shedding. Hard, 40 years ago, demonstrated the importance of iron supplements in nonanaemic, iron-deficient women with hair loss. Serum ferritin concentrations provide a good assessment of an individual's iron status. Rushton et al. first published data showing that serum ferritin concentrations were a factor in female hair loss and, 10 years later, Kantor et al. confirmed this association. What level of serum ferritin to employ in subjects with increased hair shedding is yet to be definitively established but 70 micro g/L, with a normal erythrocyte sedimentation rate (< 10 mm/h), is recommended. The role of the essential amino acid, l-lysine in hair loss also appears to be important. Double-blind data confirmed the findings of an open study in women with increased hair shedding, where a significant proportion responded to l-lysine and iron therapy. There is no evidence to support the popular view that low serum zinc concentrations cause hair loss. Excessive intakes of nutritional supplements may actually cause hair loss and are not recommended in the absence of a proven deficiency. While nutritional factors affect the hair directly, one should not forget that they also affect the skin. In the management of subjects with hair loss, eliminating scaling problems is important as is good hair care advice and the need to explain fully the hair cycle. Many individuals reduced their shampooing frequency due to fear of losing more hair but this increases the amount seen in subsequent shampoos fuelling their fear of going bald and adversely affecting their quality of life.
257 citations
••
TL;DR: Inspection of the fold shows that the majority of conserved residue positions in the HMG box family are those involved in maintaining the tertiary structure and thus all homologous HMG boxes probably have essentially the same fold.
Abstract: We have determined the tertiary structure of box 2 from hamster HMG1 using bacterial expression and 3D NMR. The all alpha-helical fold is in the form of a V-shaped arrowhead with helices along two edges and one rather flat face. This architecture is not related to any of the known DNA binding motifs. Inspection of the fold shows that the majority of conserved residue positions in the HMG box family are those involved in maintaining the tertiary structure and thus all homologous HMG boxes probably have essentially the same fold. Knowledge of the tertiary structure permits an interpretation of the mutations in HMG boxes known to abrogate DNA binding and suggests a mode of interaction with bent and 4-way junction DNA.
257 citations
••
University of Washington1, University of Paris2, Lawrence Berkeley National Laboratory3, University of Utah4, New Mexico State University5, Autonomous University of Madrid6, Yale University7, Harvard University8, Carnegie Mellon University9, Ohio State University10, Swinburne University of Technology11, University of California, Irvine12, University of Portsmouth13, Spanish National Research Council14, Max Planck Society15, Abastumani Astrophysical Observatory16, Institute of Cosmology and Gravitation, University of Portsmouth17, Pennsylvania State University18, Princeton University19, New York University20, University of Barcelona21, University of Wisconsin-Madison22
TL;DR: In this article, the angular diameter distance to and Hubble parameter at z = 0:57 from the measurement of the baryon acoustic peak in the correlation of galaxies from the Sloan Digital Sky Survey III Baryon Oscillation Spectroscopic Survey was measured.
Abstract: We present measurements of the angular diameter distance to and Hubble parameter at z = 0:57 from the measurement of the baryon acoustic peak in the correlation of galaxies from the Sloan Digital Sky Survey III Baryon Oscillation Spectroscopic Survey. Our analysis is based on a sample from Data Release 9 of 264,283 galaxies over 3275 square degrees in the redshift range 0:43 < z < 0:70. We use two different methods to provide robust measurement of the acoustic peak position across and along the line of sight in order to measure the cosmological distance scale. We find DA(0:57) = 1408 45 Mpc and H(0:57) = 92:9 7:8 km/s/Mpc for our fiducial value of the sound horizon. These results from the anisotropic fitting are fully consistent with the analysis of the spherically averaged acoustic peak position presented in Anderson et al. (2012). Our distance measurements are a close match to the predictions of the standard cosmological model featuring a cosmological constant and zero spatial curvature.
255 citations
••
01 Jul 2008TL;DR: It is concluded that only geophysically referenced methods will enable AUVs to navigate accurately over large areas and that advances in underwater feature recognition are required before these methods can be implemented in operational AUVs.
Abstract: With recent advances in battery capacity and the development of hydrogen fuel cells, autonomous underwater vehicles (AUVs) are being used to undertake longer missions that were previously performed by manned or tethered vehicles. As a result, more advanced navigation systems are needed to maintain an accurate position over a larger operational area. The accuracy of the navigation system is critical to the quality of the data collected during survey missions and the recovery of the AUV. Many different methods for navigation in different underwater environments have been proposed in the literature. In this correspondence paper, the state of the art in navigation technologies for AUVs is investigated for theoretical and operational systems. Their suitability for use in different environments is compared and current limitations of these methods are identified. In addition, new approaches to address these current problems and areas for future research are suggested. Finally, it is concluded that only geophysically referenced methods will enable AUVs to navigate accurately over large areas and that advances in underwater feature recognition are required before these methods can be implemented in operational AUVs.
253 citations
Authors
Showing all 5624 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert C. Nichol | 187 | 851 | 162994 |
Gavin Davies | 159 | 2036 | 149835 |
Daniel Thomas | 134 | 846 | 84224 |
Will J. Percival | 129 | 473 | 87752 |
Claudia Maraston | 103 | 362 | 59178 |
I. W. Harry | 98 | 312 | 65338 |
Timothy Clark | 95 | 1137 | 53665 |
Kevin Schawinski | 95 | 376 | 30207 |
Ashley J. Ross | 90 | 248 | 46395 |
Josep Call | 90 | 451 | 34196 |
David A. Wake | 89 | 214 | 46124 |
L. K. Nuttall | 89 | 253 | 54834 |
Stephen Neidle | 89 | 457 | 32417 |
Andrew Lundgren | 88 | 249 | 57347 |
Rita Tojeiro | 87 | 229 | 43140 |