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Institution

University of Nottingham

EducationNottingham, Nottingham, United Kingdom
About: University of Nottingham is a education organization based out in Nottingham, Nottingham, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 54772 authors who have published 119600 publications receiving 4227408 citations. The organization is also known as: The University of Nottingham & University College, Nottingham.


Papers
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Journal ArticleDOI
TL;DR: In this paper, basic knowledge of the thermoelectric devices and an overview of these applications are given, and the prospects of the applications of the thermal devices are also discussed.

1,259 citations

Journal ArticleDOI
Peter A. R. Ade1, Nabila Aghanim2, Zeeshan Ahmed3, Randol W. Aikin4  +354 moreInstitutions (75)
TL;DR: Strong evidence for dust and no statistically significant evidence for tensor modes is found and various model variations and extensions are probe, including adding a synchrotron component in combination with lower frequency data, and find that these make little difference to the r constraint.
Abstract: We report the results of a joint analysis of data from BICEP2/Keck Array and Planck. BICEP2 and Keck Array have observed the same approximately 400 deg2 patch of sky centered on RA 0h, Dec. −57.5deg. The combined maps reach a depth of 57 nK deg in Stokes Q and U in a band centered at 150 GHz. Planck has observed the full sky in polarization at seven frequencies from 30 to 353 GHz, but much less deeply in any given region (1.2 μK deg in Q and U at 143 GHz). We detect 150×353 cross-correlation in B-modes at high significance. We fit the single- and cross-frequency power spectra at frequencies above 150 GHz to a lensed-ΛCDM model that includes dust and a possible contribution from inflationary gravitational waves (as parameterized by the tensor-to-scalar ratio r). We probe various model variations and extensions, including adding a synchrotron component in combination with lower frequency data, and find that these make little difference to the r constraint. Finally we present an alternative analysis which is similar to a map-based cleaning of the dust contribution, and show that this gives similar constraints. The final result is expressed as a likelihood curve for r, and yields an upper limit r0.05<0.12 at 95% confidence. Marginalizing over dust and r, lensing B-modes are detected at 7.0σ significance.

1,255 citations

Journal ArticleDOI
TL;DR: Breast cancer and hormonal contraceptives: Collaborative reanalysis of individual data on 53297 women with breast cancer and 100239 women without breast cancer from 54 epidemiological studies as mentioned in this paper.

1,253 citations

Journal ArticleDOI
Henry Markram1, Henry Markram2, Eilif Muller1, Srikanth Ramaswamy1, Michael W. Reimann1, Marwan Abdellah1, Carlos Aguado Sanchez1, Anastasia Ailamaki1, Lidia Alonso-Nanclares3, Lidia Alonso-Nanclares4, Nicolas Antille1, Selim Arsever1, Guy Antoine Atenekeng Kahou1, Thomas K. Berger2, Ahmet Bilgili1, Nenad Buncic1, Athanassia Chalimourda1, Giuseppe Chindemi1, Jean Denis Courcol1, Fabien Delalondre1, Vincent Delattre2, Shaul Druckmann5, Shaul Druckmann6, Raphael Dumusc1, James Dynes1, Stefan Eilemann1, Eyal Gal6, Michael Gevaert1, Jean Pierre Ghobril2, Albert Gidon6, Joe W. Graham1, Anirudh Gupta2, Valentin Haenel1, Etay Hay6, Thomas Heinis1, Thomas Heinis7, Juan Hernando3, Michael L. Hines8, Lida Kanari1, Daniel Keller1, John Kenyon1, Georges Khazen1, Yihwa Kim1, James G. King1, Zoltán F. Kisvárday9, Pramod Kumbhar1, Sebastien Lasserre1, Jean Vincent Le Bé2, Bruno R. C. Magalhães1, Angel Merchán-Pérez4, Angel Merchán-Pérez3, Julie Meystre2, Benjamin Roy Morrice1, Jeffrey Muller1, Alberto Muñoz-Céspedes4, Alberto Muñoz-Céspedes3, Shruti Muralidhar2, Keerthan Muthurasa1, Daniel Nachbaur1, Taylor Howard Newton1, Max Nolte1, Aleksandr Ovcharenko1, Juan Palacios1, Luis Pastor10, Rodrigo Perin2, Rajnish Ranjan2, Rajnish Ranjan1, Imad Riachi1, José-Rodrigo Rodríguez4, José-Rodrigo Rodríguez3, Juan Luis Riquelme1, Christian Rössert1, Konstantinos Sfyrakis1, Ying Shi2, Ying Shi1, Julian C. Shillcock1, Gilad Silberberg11, Ricardo Silva1, Farhan Tauheed1, Martin Telefont1, Maria Toledo-Rodriguez12, Thomas Tränkler1, Werner Van Geit1, Jafet Villafranca Diaz1, Richard Walker1, Yun Wang13, Yun Wang14, Stefano M. Zaninetta1, Javier DeFelipe3, Javier DeFelipe4, Sean Hill1, Idan Segev6, Felix Schürmann1 
08 Oct 2015-Cell
TL;DR: A first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat is presented, finding a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms.

1,252 citations

Journal ArticleDOI
TL;DR: This critical review summarises the different conditions which have been described to synthesise PCL, and gives a broad overview of the different catalytic systems that were used (enzymatic, organic and metal catalyst systems).
Abstract: Polycaprolactone (PCL) is an important polymer due to its mechanical properties, miscibility with a large range of other polymers and biodegradability. Two main pathways to produce polycaprolactone have been described in the literature: the polycondensation of a hydroxycarboxylic acid: 6-hydroxyhexanoic acid, and the ring-opening polymerisation (ROP) of a lactone: e-caprolactone (e-CL). This critical review summarises the different conditions which have been described to synthesise PCL, and gives a broad overview of the different catalytic systems that were used (enzymatic, organic and metal catalyst systems). A surprising variety of catalytic systems have been studied, touching on virtually every section of the periodic table. A detailed list of reaction conditions and catalysts/initiators is given and reaction mechanisms are presented where known. Emphasis is put on the ROP pathway due to its prevalence in the literature and the superior polymer that is obtained. In addition, ineffective systems that have been tried to catalyse the production of PCL are included in the electronic supplementary information for completeness (141 references).

1,247 citations


Authors

Showing all 55289 results

NameH-indexPapersCitations
Robert Langer2812324326306
Robert M. Califf1961561167961
Eric J. Topol1931373151025
Simon D. M. White189795231645
Douglas F. Easton165844113809
Elliott M. Antman161716179462
Pete Smith1562464138819
Christopher P. Cannon1511118108906
Scott T. Weiss147102574742
Frede Blaabjerg1472161112017
Martin J. Blaser147820104104
Stephen Sanders1451385105943
Stuart J. Pocock145684143547
Peter B. Jones145185794641
Alexander Belyaev1421895100796
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023214
2022877
20216,553
20206,421
20195,669
20185,273