Search

Your search keyword '"Cooke, Elizabeth A."' showing total 442 results
Start Over Author "Cooke, Elizabeth A."
442 results on '"Cooke, Elizabeth A."'

3. The galaxy mass-size relation in CARLA clusters and proto-clusters at 1.4 < z < 2.8: larger cluster galaxy sizes

Author

Afanasiev, Anton V., Mei, Simona, Fu, Hao, Shankar, Francesco, Amodeo, Stefania, Stern, Daniel, Cooke, Elizabeth A., Gonzalez, Anthony H., Noirot, Gaël, Rettura, Alessandro, Wylezalek, Dominika, De Breuck, Carlos, Hatch, Nina A., Stanford, Spencer A., and Vernet, Joël

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

(Abridged) We study the galaxy mass-size relation in CARLA spectroscopically confirmed clusters at $1.410.5$ are systematically $\gtrsim 0.2-0.3~{\rm dex}$ larger than field ETGs. The passive ETG average size evolution is slower at $1

Published
2022
Full Text
View/download PDF

4. Morphology-density Relation, Quenching, and Mergers in CARLA Clusters and Proto-Clusters at $1.4<z<2.8$

Author

Mei, Simona, Hatch, Nina A., Amodeo, Stefania, Afanasiev, Anton V., De Breuck, Carlos, Stern, Daniel, Cooke, Elizabeth A., Gonzalez, Anthony H., Noirot, Gaël, Rettura, Alessandro, Seymour, Nick, Stanford, Spencer A., Vernet, Joël, and Wylezalek, Dominika

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

(Abridged) To understand if the morphology-density and passive-density relations are already established at z>1.5, we study galaxies in 16 confirmed clusters at $1.3

Published
2022
Full Text
View/download PDF

5. Host gene expression signatures to identify infection type and organ dysfunction in children evaluated for sepsis: a multicentre cohort study

Author

Levin, Michael, Coin, Lachlan, Gormley, Stuart, Hamilton, Shea, Hoggart, Clive, Kaforou, Myrsini, Sancho-Shimizu, Vanessa, Wright, Victoria, Abdulla, Amina, Agapow, Paul, Bartlett, Maeve, Eleftherohorinou, Hariklia, Galassini, Rachel, Inwald, David, Mashbat, Meg, Menikou, Stephanie, Mustafa, Sobia, Nadel, Simon, Rahman, Rahmeen, Shailes, Hannah, Thakker, Clare, Bokhandi, S., Power, Sue, Barham, Heather, Pathan, N., Ridout, Jenna, White, Deborah, Thurston, Sarah, Faust, S., Patel, S., McCorkell, Jenni, Davies, P., Crate, Lindsey, Navarra, Helen, Carter, Stephanie, Ramaiah, R., Patel, Rekha, Tuffrey, Catherine, Gribbin, Andrew, McCready, Sharon, Peters, Mark, Hardy, Katie, Standing, Fran, O'Neill, Lauren, Abelake, Eugenia, Deep, Akash, Nsirim, Eniola, Pollard, Andrew, Willis, Louise, Young, Zoe, Royad, C., White, Sonia, Fortune, Peter-Marc, Hudnott, Phil, Martinón-Torres, Federico, Salas, Antonio, Álvez González, Fernando, Barral-Arca, Ruth, Cebey-López, Miriam, Curras-Tuala, María José, García, Natalia, García Vicente, Luisa, Gómez-Carballa, Alberto, Gómez Rial, Jose, Grela Beiroa, Andrea, Justicia Grande, Antonio, Leboráns Iglesias, Pilar, Martínez Santos, Alba Elena, Martinón-Torres, Nazareth, Martinón Sánchez, José María, Morillo Gutiérrez, Beatriz, Mosquera Pérez, Belén, Obando Pacheco, Pablo, Pardo-Seco, Jacobo, Pischedda, Sara, Rivero-Calle, Irene, Rodríguez-Tenreiro, Carmen, Redondo-Collazo, Lorenzo, Salas Ellacuriaga, Antonio, Fernández, Sonia Serén, del Sol Porto Silva, María, Vega, Ana, Vilanova Trillo, Lucía, Reyes, Susana Beatriz, Cruz León León, María, Navarro Mingorance, Álvaro, Gabaldó Barrio, Xavier, Oñate Vergara, Eider, Concha Torre, Andrés, Vivanco, Ana, Fernández, Reyes, Giménez Sánchez, Francisco, Sánchez Forte, Miguel, Rojo, Pablo, Contreras, J. Ruiz, Palacios, Alba, Epalza Ibarrondo, Cristina, Fernández Cooke, Elizabeth, Navarro, Marisa, Álvarez Álvarez, Cristina, José Lozano, María, Carreras, Eduardo, Brió Sanagustín, Sonia, Neth, Olaf, Martínez Padilla, Mª del Carmen, Prieto Tato, Luis Manuel, Guillén, Sara, Fernández Silveira, Laura, Moreno, David, de Groot, R., Tutu van Furth, A.M., van der Flier, M., Boeddha, N.P., Driessen, G.J.A., Emonts, M., Hazelzet, J.A., Kuijpers, T.W., Pajkrt, D., Sanders, E.A.M., van de Beek, D., van der Ende, A., Philipsen, H.L.A., Adeel, A.O.A., Breukels, M.A., Brinkman, D.M.C., de Korte, C.C.M.M., de Vries, E., de Waal, W.J., Dekkers, R., Dings-Lammertink, A., Doedens, R.A., Donker, A.E., Dousma, M., Faber, T.E., Gerrits, G.P.J.M., Gerver, J.A.M., Heidema, J., Homan-van der Veen, J., Jacobs, M.A.M., Jansen, N.J.G., Kawczynski, P., Klucovska, K., Kneyber, M.C.J., Koopman-Keemink, Y., Langenhorst, V.J., Leusink, J., Loza, B.F., Merth, I.T., Miedema, C.J., Neeleman, C., Noordzij, J.G., Obihara, C.C., van Overbeek- van Gils, A.L.T., Poortman, G.H., Potgieter, S.T., Potjewijd, J., Rosias, P.P.R., Sprong, T., ten Tussher, G.W., Thio, B.J., Tramper-Stranders, G.A., van Deuren, M., van der Meer, H., van Kuppevelt, A.J.M., van Wermeskerken, A.M., Verwijs, W.A., Wolfs, T.F.W., Schlapbach, Luregn J., Agyeman, Philipp, Aebi, Christoph, Giannoni, Eric, Stocker, Martin, Posfay-Barbe, Klara M., Heininger, Ulrich, Bernhard-Stirnemann, Sara, Niederer-Loher, Anita, Kahlert, Christian, Hasters, Paul, Relly, Christa, Baer, Walter, Berger, Christoph, Carrol, Enitan D., Paulus, Stéphane, Frederick, Hannah, Jennings, Rebecca, Johnston, Joanne, Kenwright, Rhian, Fink, Colin G, Pinnock, Elli, Emonts, Marieke, Agbeko, Rachel, Anderson, Suzanne, Secka, Fatou, Bojang, Kalifa, Sarr, Isatou, Kebbeh, Ngange, Sey, Gibbi, Saidykhan, Momodou, Cole, Fatoumata, Thomas, Gilleh, Antonio, Martin, Zenz, Werner, Kohlfürst, Daniela S., Binder, Alexander, Schweintzger, Nina A., Sagmeister, Manfred, Baumgart, Hinrich, Baumgartner, Markus, Behrends, Uta, Biebl, Ariane, Birnbacher, Robert, Blanke, Jan-Gerd, Boelke, Carsten, Breuling, Kai, Brunner, Jürgen, Buller, Maria, Dahlem, Peter, Dietrich, Beate, Eber, Ernst, Elias, Johannes, Emhofer, Josef, Etschmaier, Rosa, Farr, Sebastian, Girtler, Ylenia, Grigorow, Irina, Heimann, Konrad, Ihm, Ulrike, Jaros, Zdenek, Kalhoff, Hermann, Kaulfersch, Wilhelm, Kemen, Christoph, Klocker, Nina, Köster, Bernhard, Kohlmaier, Benno, Komini, Eleni, Kramer, Lydia, Neubert, Antje, Ortner, Daniel, Pescollderungg, Lydia, Pfurtscheller, Klaus, Reiter, Karl, Ristic, Goran, Rödl, Siegfried, Sellner, Andrea, Sonnleitner, Astrid, Sperl, Matthias, Stelzl, Wolfgang, Till, Holger, Trobisch, Andreas, Vierzig, Anne, Vogel, Ulrich, Weingarten, Christina, Welke, Stefanie, Wimmer, Andreas, Wintergerst, Uwe, Wüller, Daniel, Zaunschirm, Andrew, Ziuraite, Ieva, Žukovskaja, Veslava, Hibberd, Martin L., Davila, Sonia, Delany, Isabel, Schlapbach, Luregn J, Raman, Sainath, Sharp, Nathalie, Phillips, Natalie, Irwin, Adam, Balch, Ross, Harley, Amanda, Johnson, Kerry, Sever, Zoe, George, Shane, Grimwood, Keith, Snelling, Peter J, Chavan, Arjun, Kitcatt, Eleanor, Lawton, Luke, Hempenstall, Allison, Pilot, Pelista, Gibbons, Kristen S, Le Marsney, Renate, Blumenthal, Antje, Ganesamoorthy, Devika, Pardo, Carolyn, Kling, Jessica, McPherson, Stephen, MacDonald, Anna D, Bialasiewicz, Seweryn, Pham, Trang, Wilson, Clare, Sharp, Natalie, Kling, Jessica C, McPherson, Stephen J, Herberg, Jethro A, and Coin, Lachlan J M

Published
2024
Full Text
View/download PDF

6. Massive molecular gas reservoir around the central AGN in the CARLA J1103+3449 cluster at z=1.44

Author

Markov, Vladan, Mei, Simona, Salomé, Philippe, Combes, Francoise, Stern, Daniel, Galametz, Audrey, De Breuck, Carlos, Wylezalek, Dominika, Amodeo, Stefania, Cooke, Elizabeth A., Gonzalez, Anthony H., Hatch, Nina A., Noirot, Gaël, Rettura, Alessandro, Seymour, Nick, Stanford, Spencer A., and Vernet, Joël

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Passive early-type galaxies dominate cluster cores at z $\lesssim$1.5. At higher redshift, cluster core galaxies are observed to have still on-going star-formation, fuelled by cold molecular gas. We measure the molecular gas reservoir of the central region around the radio-loud AGN in the cluster CARLA J1103+3449 at z=1.44 with NOEMA. The AGN synchrotron emission dominates the continuum emission at 94.48 GHz, and we measure its flux at the AGN position and at the position of two radio jets. Combining our measurements with published results over the range 4.71 GHz-94.5 GHz, we obtain a flat spectral index $\alpha = 0.14 \pm 0.03$ for the AGN core emission, and a steeper index $\alpha = 1.43 \pm 0.04$ and $\alpha = 1.15 \pm 0.04$ at positions close to the western and eastern lobe, respectively. The total spectral index is $\alpha = 0.92 \pm 0.02$ over the range 73.8 MHz-94.5 GHz. We detect two CO(2-1) emission lines, both blue-shifted with respect to the AGN. Their emission corresponds to two regions, ~17 kpc south-east and ~14 kpc south-west of the AGN, not associated with galaxies. In these two regions, we find a total massive molecular gas reservoir of $M_{gas}$ = 3.9 $\pm$ 0.4 $10^{10} M_{\odot}$, which dominates (~ 60%) the central total molecular gas reservoir. These results can be explained by massive cool gas flows in the center of the cluster. The AGN early-type host is not yet quenched; its star formation rate is consistent with being on the main sequence of star-forming galaxies in the field (SFR~30-140 $M_{\odot}$/yr), and the cluster core molecular gas reservoir is expected to feed the AGN and the host star-formation before quiescence. The other cluster confirmed members show star formation rates at ~2 $\sigma$ below the field main sequence at similar redshifts and do not have molecular gas masses larger than galaxies of similar stellar mass in the field., Comment: 18 pages, 14 figures, A&A, accepted for publication

Published
2020
Full Text
View/download PDF

9. $HST$ Grism Confirmation of $16$ Structures at $1.4 < z < 2.8$ from the Clusters Around Radio-Loud AGN (CARLA) Survey

Author

Noirot, Gaël, Stern, Daniel, Mei, Simona, Wylezalek, Dominika, Cooke, Elizabeth A., De Breuck, Carlos, Galametz, Audrey, Hatch, Nina A., Vernet, Joël, Brodwin, Mark, Eisenhardt, Peter, Gonzalez, Anthony H., Jarvis, Matt, Rettura, Alessandro, Seymour, Nick, and Stanford, S. A.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We report spectroscopic results from our 40-orbit $Hubble~Space~Telescope$ slitless grism spectroscopy program observing the 20 densest CARLA candidate galaxy clusters at $1.4 < z < 2.8$. These candidate rich structures, among the richest and most distant known, were identified on the basis of $[3.6]-[4.5]$ color from a $408~$hr multi-cycle $Spitzer$ program targeting $420$ distant radio-loud AGN. We report the spectroscopic confirmation of $16$ distant structures at $1.4 < z < 2.8$ associated with the targeted powerful high-redshift radio-loud AGN. We also report the serendipitous discovery and spectroscopic confirmation of seven additional structures at $0.87 < z < 2.12$ not associated with the targeted radio-loud AGN. We find that $10^{10} - 10^{11}\,M_{\odot}$ member galaxies of our confirmed CARLA structures form significantly fewer stars than their field counterparts at all redshifts within $1.4\leq z\leq 2$. We also observe higher star-forming activity in the structure cores up to $z = 2$, finding similar trends as cluster surveys at slightly lower redshifts ($1.0 < z < 1.5$). By design, our efficient strategy of obtaining just two grism orbits per field only obtains spectroscopic confirmation of emission-line galaxies. Deeper spectroscopy will be required to study the population of evolved, massive galaxies in these (forming) clusters. Lacking multi-band coverage of the fields, we adopt a very conservative approach of calling all confirmations "structures", although we note that a number of features are consistent with some of them being bona fide galaxy clusters. Together, this survey represents a unique and large homogenous sample of spectroscopically confirmed structures at high redshifts, potentially more than doubling the census of confirmed, massive clusters at $z > 1.4$., Comment: Accepted for publication in the Astrophysical Journal

Published
2018
Full Text
View/download PDF

12. Galaxy evolution in protoclusters

Author

Muldrew, Stuart I., Hatch, Nina A., and Cooke, Elizabeth A.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We investigate galaxy evolution in protoclusters using a semi-analytic model applied to the Millennium Simulation, scaled to a Planck cosmology. We show that the model reproduces the observed behaviour of the star formation history (SFH) both in protoclusters and the field. The rate of star formation peaks $\sim0.7\,{\rm Gyr}$ earlier in protoclusters than in the field and declines more rapidly afterwards. This results in protocluster galaxies forming significantly earlier: 80% of their stellar mass is already formed by $z=1.4$, but only 45% of the field stellar mass has formed by this time. The model predicts that field and protocluster galaxies have similar average specific star-formation rates (sSFR) at $z>3$, and we find evidence of an enhancement of star formation in the dense protoclusters at early times. At $z<3$, protoclusters have lower sSFRs, resulting in the disparity between the SFHs. We show that the stellar mass functions of protoclusters are top-heavy compared with the field due to the early formation of massive galaxies, and the disruption and merging of low-mass satellite galaxies in the main haloes. The fundamental cause of the different SFHs and mass functions is that dark matter haloes are biased tracers of the dark matter density field: the high density of haloes and the top-heavy halo mass function in protoclusters result in the early formation then rapid merging and quenching of galaxies. We compare our results with observations from the literature, and highlight which observables provide the most informative tests of galaxy formation., Comment: 14 pages, 9 figures, accepted for publication in MNRAS

Published
2017
Full Text
View/download PDF

13. Enhancement of AGN in a protocluster at z=1.6

Author

Krishnan, Charutha, Hatch, Nina A., Almaini, Omar, Kocevski, Dale, Cooke, Elizabeth A., Hartley, William G., Hasinger, Guenther, Maltby, David T., Muldrew, Stuart I., and Simpson, Chris

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We investigate the prevalence of AGN in the high-redshift protocluster $\rm{Cl}\,0218.3$-$0510$ at $z=1.62$. Using imaging from the Chandra X-ray Telescope, we find a large overdensity of AGN in the protocluster; a factor of $23\pm9$ times the field density of AGN. Only half of this AGN overdensity is due to the overdensity of massive galaxies in the protocluster (a factor of $11\pm2$), as we find that $17^{+6}_{-5}\%$ of massive galaxies ($M_* > 10^{10}\,\rm{M}_{\odot}$) in the protocluster host an X-ray luminous AGN, compared to $8\pm1\%$ in the field. This corresponds to an enhancement of AGN activity in massive protocluster galaxies by a factor of $2.1\pm0.7$ at $1.6\sigma$ significance. We also find that the AGN overdensity is centrally concentrated, located within 3 arcmin and most pronounced within 1 arcmin of the centre of the protocluster. Our results confirm that there is a reversal in the local anti-correlation between galaxy density and AGN activity, so there is an enhancement of AGN in high-redshift protoclusters. We compare the properties of AGN in the protocluster to the field and find no significant differences in the distributions of their stellar mass, X-ray luminosity, or hardness ratio. We therefore suggest that triggering mechanisms are similar in both environments, and that the mechanisms simply occur more frequently in denser environments., Comment: 9 pages, 8 figures, Accepted to MNRAS (24th May 2017)

Published
2017
Full Text
View/download PDF

14. Are Nature-based Solutions for Built Heritage Conservation Resilient to Climate Change? The Response of Grass-based Soft Caps in Britain and Ireland to Future Climate Scenarios.

Author

Richards, Jenny, Cooke, Elizabeth L., Coombes, Martin, Jones, Johanna, and Viles, Heather

Subjects
*CLIMATE change adaptation, *SPECIES distribution, *HISTORIC sites, *ATMOSPHERIC models, *CLIMATE change
Abstract

Nature-based solutions (NbS) offer an exciting opportunity to work with nature to conserve heritage sites and objects. Soft capping is a novel form of NbS used commonly in Britain and Ireland to help conserve ruined and free-standing walls; soil and vegetation is placed on the wall head to help reduce deterioration by buffering thermal fluctuations and regulating moisture. While this conservation practice has proved cheaper and more effective at reducing deterioration than traditional hard capping, soft caps need to be resilient to future environmental changes. Previous research has shown that the sedum species commonly used in soft caps are vulnerable to climate change. Thus, following feedback from an interactive webinar with practicing heritage professionals, here we assess the climate resilience of four grass species commonly found in western Europe as possible soft-capping species: Festuca rubra (red fescue), Poa pratensis (smooth meadow-grass), Catapodium rigidum (fern-grass) and Poa annua (annual meadow-grass). We use species distribution modelling (Maxent) to assess the likelihood of species survival by mid and end century based on presence probabilities derived using three climate models (HadGEM3-GC31-LL, IPSL-CM6A-LR, and MIROC6). Results show that all four species are resilient under mid-century projections, and P. annua proved resilient under all scenarios. Therefore, using turf-based soft caps incorporating one or more of these grass species could enhance the future resilience of this conservation technique. Given the growing interest in the use of nature-based approaches to heritage conservation, our study represents an important attempt to account for and adapt to a changing climate. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

15. Area X Marks the Spot: Cell-Type-Specific Transcriptomic Signatures of Sensorimotor Learning in Zebra Finch Basal Ganglia

Author

Cooke, Elizabeth Katherine

Subjects
Neurosciences, Genetics, Area X, basal ganglia, scRNAseq, sensorimotor learning, zebra finch
Abstract

Sensorimotor learning is the process by which motor skills are gradually refined to reach a target goal via sensory feedback. This process requires the basal ganglia, a set of predominantly inhibitory forebrain nuclei that form interconnected loops with the cortex and thalamus, modulate and evaluate motor patterns, and receive dopaminergic modulatory inputs. However, there is still much that remains unknown about the neurogenetic mechanisms by which motor learning takes place in the basal ganglia. The zebra finch (Taeniopygia guttata) is a well-established model organism in behavioral neuroscience due to the male courtship song, which is acquired by young birds during development who copy an adult male tutor. The song-linked region of the zebra finch basal ganglia, Area X, has a strong degree of gene expression overlap with human striatal regions dedicated to vocal learning. Furthermore, optimal song learning requires singing-dependent regulation of the transcription factor gene FoxP2 within Area X; the human analogue, FOXP2, is strongly associated with speech learning and fluency. Previous work has identified behaviorally linked gene expression modules within Area X that correlate with the amount of singing and with the degree of learning; however, Area X contains numerous neuronal and non-neuronal cell types, and it is unknown which specific basal ganglia cell type(s) express these genes. To address this, single-cell RNA sequencing was used to characterize the cell-type-specific transcriptome of Area X of juvenile and adult male zebra finches. Additionally, this experiment examined the cell-type-specific effects of 2 hours of singing, a behavioral paradigm that is known to significantly downregulate FoxP2 at the bulk level, on the cell-type-specific transcriptome by comparing between singing and non-singing sibling pairs. I collected tissue from 16 individuals across 4 conditions, generated single-cell suspensions, performed 10X library preparation and sequencing, and analyzed the data to generate an integrated clustering analysis showing shared clusters representing distinct basal ganglia cell types and identifying cluster-specific cell type markers. Differential expression analysis between conditions shows broad upregulation of gene expression in juveniles compared to adults, across all cell types. Gene Set Enrichment Analysis by cluster between behavioral conditions identifies a subpopulation of medium spiny neurons, marked by expression of ARPP21, that differentially express genes from a singing-linked module identified at the bulk level. This identifies ARPP21-expressing medium spiny neurons as playing an important role in plasticity relating to motor learning. Overall, this work utilizes a well-established animal model for motor learning, the zebra finch song system, to investigate sensorimotor learning-linked changes in the transcriptomes of basal ganglia cell types. This work has translational relevance for better understanding neurogenetic mechanisms underlying sensorimotor skill learning within the basal ganglia. This includes the potential to provide insights into vocal learning, which may be disrupted in a variety of speech and language disorders. In particular, speech deficits are a common feature of autism spectrum disorder (ASD). Research on mechanisms underlying zebra finch vocal song learning may point to novel therapeutic approaches for addressing speech and language deficits in humans.

Published
2023

17. HST Grism Confirmation of Two $z \sim 2$ Structures from the Clusters Around Radio-Loud AGN (CARLA) Survey

Author

Noirot, Gaël, Vernet, Joël, De Breuck, Carlos, Wylezalek, Dominika, Galametz, Audrey, Stern, Daniel, Mei, Simona, Brodwin, Mark, Cooke, Elizabeth A., Gonzalez, Anthony H., Hatch, Nina A., Rettura, Alessandro, and Stanford, Spencer Adam

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

Using HST slitless grism data, we report the spectroscopic confirmation of two distant structures at $z \sim 2$ associated with powerful high-redshift radio-loud AGN. These rich structures, likely (forming) clusters, are among the most distant currently known and were identified on the basis of Spitzer/IRAC [3.6] - [4.5] color. We spectroscopically confirm 9 members in the field of MRC 2036-254, comprising eight star-forming galaxies and the targeted radio galaxy. The median redshift is $z = 2.000$. We spectroscopically confirm 10 members in the field of B3 0756+406, comprising eight star-forming galaxies and two AGN, including the targeted radio-loud quasar. The median redshift is $z = 1.986$. All confirmed members are within 500 kpc (1 arcmin) of the targeted AGN. We derive median (mean) star-formation rates of $\sim 35~M_{\odot}\rm ~ yr^{-1}$ ($\sim 50~M_{\odot}\rm ~ yr^{-1}$) for the confirmed star-forming members of both structures based on their [OIII]$\lambda5007$ luminosities, and estimate average galaxy stellar masses $\lesssim 1 \times 10^{11} ~M_{\odot}$ based on mid-infrared fluxes and SED modeling. Most of our confirmed members are located above the star-forming main-sequence towards starburst galaxies, consistent with clusters at these early epochs being the sites of significant levels of star formation. The structure around MRC 2036-254 shows an overdensity of IRAC-selected candidate galaxy cluster members consistent with being quiescent galaxies, while the structure around B3 0756+406 shows field values, albeit with many lower limits to colors that could allow an overdensity of faint red quiescent galaxies. The structure around MRC 2036-254 shows a red sequence of passive galaxy candidates., Comment: Accepted to ApJ

Published
2016
Full Text
View/download PDF

18. TORNADO FORECAST

Author

Cooke, Elizabeth

Subjects
Remote sensing, Tornadoes, Radar meteorology, Weather, Science and technology
Abstract

Dear HIW, Are tornadoes completely spontaneous or are there ways scientists can predict an emerging tornado? Yes, thankfully there are a few scientific methods that meteorologists can use. Doppler radar [...]

Published
2024

19. What are Protoclusters? -- Defining High Redshift Galaxy Clusters and Protoclusters

Author

Muldrew, Stuart I., Hatch, Nina A., and Cooke, Elizabeth A.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract

We explore the structures of protoclusters and their relationship with high redshift clusters using the Millennium Simulation combined with a semi-analytic model. We find that protoclusters are very extended, with 90 per cent of their mass spread across $\sim35\,h^{-1}{\rm Mpc}$ comoving at $z=2$ ($\sim30\, \rm{arcmin}$). The `main halo', which can manifest as a high redshift cluster or group, is only a minor feature of the protocluster, containing less than 20 per cent of all protocluster galaxies at $z=2$. Furthermore, many protoclusters do not contain a main halo that is massive enough to be identified as a high redshift cluster. Protoclusters exist in a range of evolutionary states at high redshift, independent of the mass they will evolve to at $z=0$. We show that the evolutionary state of a protocluster can be approximated by the mass ratio of the first and second most massive haloes within the protocluster, and the $z=0$ mass of a protocluster can be estimated to within 0.2 dex accuracy if both the mass of the main halo and the evolutionary state is known. We also investigate the biases introduced by only observing star-forming protocluster members within small fields. The star formation rate required for line-emitting galaxies to be detected is typically high, which leads to the artificial loss of low mass galaxies from the protocluster sample. This effect is stronger for observations of the centre of the protocluster, where the quenched galaxy fraction is higher. This loss of low mass galaxies, relative to the field, distorts the size of the galaxy overdensity, which in turn can contribute to errors in predicting the $z=0$ evolved mass., Comment: 14 pages, 14 figures, accepted to MNRAS

Published
2015
Full Text
View/download PDF

20. How to build a cluster : the formation and evolution of galaxies in high-redshift clusters and protoclusters

Author

Cooke, Elizabeth A.

Subjects
523.1
Abstract

High redshift galaxy protoclusters are the precursors of today’s massive clusters; the sites of formation of the most massive galaxies in the present-day Universe. By studying these immature structures we can directly analyse the formation of galaxies in the densest environments without relying on extrapolations from low redshift. Finding protoclusters is challenging due to the need for very wide and deep surveys. Radio-loud active galactic nuclei (RLAGN) have been shown to preferentially reside in overdense environments at z > 1. By using these bright radio sources as beacons, protoclusters may be efficiently selected, without the need for large, blind surveys. In this thesis I study the properties of galaxies in high redshift (z > 1.3) clusters and protoclusters selected around RLAGN. Using a sample of 37 clusters and protoclusters from the Clusters Around Radio-Loud AGN (CARLA) survey, I show that the protocluster galaxies have an approximately unevolving, red observed-frame i'-[3.6] colour across 1.3 < z < 3.2. This is at odds with the simple models which are commonly used to explain the cluster red sequence in the local Universe, which predict cluster galaxy colours to become more blue at higher redshifts. Taking the full cluster population into account, I show that the formation of stars within the majority of massive cluster galaxies occurs over at least 2 Gyr, and peaks at z ~ 2–3. This is consistent with the cosmic star formation history, with star formation ending in clusters at 1 < z < 2. I further show that massive galaxies at z > 2 must have assembled within 0.5 Gyr of them forming a significant fraction of their stars. This means that few massive galaxies in z > 2 protoclusters could have formed via dry mergers. Some of the CARLA structures exhibit signs of being mature, collapsed clusters. In a pilot project, I report on the discovery of a z = 1.58 cluster with a strong red sequence around the RLAGN 7C 1753+6311. I demonstrate that the cluster has an enhanced quiescent galaxy fraction that is three times that of the control field. I also show that this enhancement is mass dependent: 91 +/- 9% of the M* > 10^10.5 Msun cluster galaxies are quiescent, compared to only 36 +/- 2% of field galaxies, whereas the fraction of quiescent galaxies with lower masses is the same in the cluster and field environments. This is in contrast to low redshift studies which have shown that mass and environmental effects on quenching star formation are separable. In the literature there is some debate as to whether RLAGN preferentially reside in clusters of a certain stage of collapse. The presence of a dense core and a well-formed, quiescent red sequence suggest that 7C1753+6311 resides within a mature cluster. This means that distant RLAGN do not solely reside in young, uncollapsed protoclusters, rather they can be found in clusters in a wide range of evolutionary states. Finally I present results from surveys of Halpha emitters in the fields around three high redshift RLAGN. I find that there is more dust-obscured star formation in protocluster galaxies than in similarly-selected control field galaxies at z ~ 2.5 and there is tentative evidence of a higher fraction of starbursting galaxies in the denser environment. However, on average I do not find a difference between the star formation rate (SFR)-mass relations of the protocluster and field galaxies and so conclude that the SFR of these galaxies at z ~ 2.5 is governed predominantly by galaxy mass and not the host environment. The stellar mass distribution of the protocluster galaxies is also skewed towards higher masses and there is a significant lack of low mass (M < 10^10 Msun) galaxies within the protocluster core. These results have implications for future protocluster surveys. The lack of low mass galaxies affects the level of overdensity which is detected. If only high mass galaxies are considered, the density of the protocluster field may be over-estimated. This means that it is important when quantifying protoclusters to compare their mass functions, rather than simply number overdensities. I also find that some radio galaxies do not reside in the centre, or densest region of the surrounding structure, meaning the overdensity measured in an aperture centred on the RLAGN will be underestimated. This means that future studies of (proto)clusters around RLAGN should use larger fields of view in order to establish the existence of a (proto)cluster.

Published
2016

21. Determining the feasibility of calculating pancreatic cancer risk scores for people with new-onset diabetes in primary care (DEFEND PRIME): study protocol

Author

Claridge, Hugh, primary, Price, Claire A, additional, Ali, Rofique, additional, Cooke, Elizabeth A, additional, de Lusignan, Simon, additional, Harvey-Sullivan, Adam, additional, Hodges, Catherine, additional, Khalaf, Natalia, additional, O’Callaghan, Dean, additional, Stunt, Ali, additional, Thomas, Spencer A, additional, Thomson, Joanna, additional, and Lemanska, Agnieszka, additional

Published
2024
Full Text
View/download PDF

22. Warm-Sensitive Neurons that Control Body Temperature

Author

Tan, Chan Lek, Cooke, Elizabeth K, Leib, David E, Lin, Yen-Chu, Daly, Gwendolyn E, Zimmerman, Christopher A, and Knight, Zachary A

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Neurosciences, Genetics, Basic Behavioral and Social Science, Behavioral and Social Science, Neurological, Animals, Behavior, Animal, Body Temperature Regulation, Brain-Derived Neurotrophic Factor, Gene Expression Regulation, Hot Temperature, Mice, Microdissection, Neurons, Optogenetics, Pituitary Adenylate Cyclase-Activating Polypeptide, RNA, Messenger, Ribosomal Protein S6, Sequence Analysis, RNA, Ventromedial Hypothalamic Nucleus, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Thermoregulation is one of the most vital functions of the brain, but how temperature information is converted into homeostatic responses remains unknown. Here, we use an unbiased approach for activity-dependent RNA sequencing to identify warm-sensitive neurons (WSNs) within the preoptic hypothalamus that orchestrate the homeostatic response to heat. We show that these WSNs are molecularly defined by co-expression of the neuropeptides BDNF and PACAP. Optical recordings in awake, behaving mice reveal that these neurons are selectively activated by environmental warmth. Optogenetic excitation of WSNs triggers rapid hypothermia, mediated by reciprocal changes in heat production and loss, as well as dramatic cold-seeking behavior. Projection-specific manipulations demonstrate that these distinct effectors are controlled by anatomically segregated pathways. These findings reveal a molecularly defined cell type that coordinates the diverse behavioral and autonomic responses to heat. Identification of these warm-sensitive cells provides genetic access to the core neural circuit regulating the body temperature of mammals. PAPERCLIP.

Published
2016

23. A feasibility study on exhaled breath analysis using UV spectroscopy to detect COVID-19

Author

Sutaria, Saurin Rahul, primary, Morris, James, additional, Xie, Zhenzhen, additional, Cooke, Elizabeth, additional, Silvers, Shavonne, additional, Long, Grace, additional, Balcom, Dawn, additional, Marimuthu, Subathra, additional, Parrish, Leslie, additional, Aliesky, Holly, additional, Arnold, Forest, additional, Huang, Jiapeng, additional, Fu, Xiaoan, additional, and Nantz, Michael, additional

Published
2023
Full Text
View/download PDF

24. Determining the feasibility of calculating pancreatic cancer risk scores for people with new-onset diabetes in primary care (DEFEND PRIME): study protocol

Author

Claridge, Hugh, primary, Price, Claire A., additional, Ali, Rofique, additional, Cooke, Elizabeth, additional, de Lusignan, Simon, additional, Harvey-Sullivan, Adam, additional, Hodges, Catherine, additional, Khalaf, Natalia, additional, O’Callaghan, Dean, additional, Stunt, Ali, additional, Thomas, Spencer A., additional, Thomson, Joanna, additional, and Lemanska, Agnieszka, additional

Published
2023
Full Text
View/download PDF

36. The phylogeography and systematics of Cardamine hirsuta

Author

Cooke, Elizabeth Laura, Scotland, Robert, Carine, Mark, and Tsiantis, Miltos

Subjects
583, Evolution,ecology and systematics, Cardamine hirsuta, phylogeography, Azores, phylogenetics, Last Glacial Maximum, palaeodistribution modelling, Atlantic fringe, Cardamine
Abstract

Cardamine hirsuta L. is an emerging model system in developmental genetics, where natural genetic variation within C. hirsuta provides the means to investigate the genetic basis of morphological traits. This thesis investigates the geographical structure and genealogical history of genetic variation within C. hirsuta and identifies its closest relatives. This will enable the accurate selection of species for comparison with C. hirsuta when making interpretations of evolutionary processes, and provide a better understanding of morphological character evolution in C. hirsuta. The phylogeographic history of C. hirsuta was reconstructed using multiple chloroplast and nuclear markers and widespread accession sampling from across its native range. A distinct group was identified within C. hirsuta, restricted to the high mountains of East Africa. Climate suitability modelling showed that Pleistocene glacial dynamics have had a strong effect on the distribution of genetic variation within C. hirsuta. The phylogeographical data generated here was used to investigate the origin of C. hirsuta in the Azores, an oceanic archipelago. The Azores are dominated by an endemic chloroplast haplotype which is associated with an endemic phenotype. Thus, C. hirsuta appears to have diversified in situ in the Azores. Phylogenetic analyses of Cardamine, restricted to diploid species to remove the confounding effects of polyploids, found that C. hirsuta is most closely related to C. oligosperma, a western North American species. Multiple loci and extensive intraspecific sampling were brought to bear to demonstrate that C. hirsuta and C. oligosperma are reciprocally monophyletic. Cardamine pattersonii, a restricted endemic from north-west Oregon is likely to be an allopolyploid, with C. oligosperma as the maternal parent and possibly C. nuttallii as the paternal parent.

Published
2013

37. Pan-European study of genotypes and phenotypes in the Arabidopsis relative Cardamine hirsuta reveals how adaptation, demography, and development shape diversity patterns

Author

Baumgarten, Lukas, primary, Pieper, Bjorn, additional, Song, Baoxing, additional, Mane, Sébastien, additional, Lempe, Janne, additional, Lamb, Jonathan, additional, Cooke, Elizabeth L., additional, Srivastava, Rachita, additional, Strütt, Stefan, additional, Žanko, Danijela, additional, Casimiro, Pedro GP, additional, Hallab, Asis, additional, Cartolano, Maria, additional, Tattersall, Alexander D., additional, Huettel, Bruno, additional, Filatov, Dmitry A., additional, Pavlidis, Pavlos, additional, Neuffer, Barbara, additional, Bazakos, Christos, additional, Schaefer, Hanno, additional, Mott, Richard, additional, Gan, Xiangchao, additional, Alonso-Blanco, Carlos, additional, Laurent, Stefan, additional, and Tsiantis, Miltos, additional

Published
2023
Full Text
View/download PDF

38. Host gene expression signatures to identify infection type and organ dysfunction in children evaluated for sepsis: a multicentre cohort study

Author

Schlapbach, Luregn J, Ganesamoorthy, Devika, Wilson, Clare, Raman, Sainath, George, Shane, Snelling, Peter J, Phillips, Natalie, Irwin, Adam, Sharp, Natalie, Le Marsney, Renate, Chavan, Arjun, Hempenstall, Allison, Bialasiewicz, Seweryn, MacDonald, Anna D, Grimwood, Keith, Kling, Jessica C, McPherson, Stephen J, Blumenthal, Antje, Kaforou, Myrsini, Levin, Michael, Herberg, Jethro A, Gibbons, Kristen S, Coin, Lachlan J M, Levin, Michael, Coin, Lachlan, Gormley, Stuart, Hamilton, Shea, Hoggart, Clive, Kaforou, Myrsini, Sancho-Shimizu, Vanessa, Wright, Victoria, Abdulla, Amina, Agapow, Paul, Bartlett, Maeve, Eleftherohorinou, Hariklia, Galassini, Rachel, Inwald, David, Mashbat, Meg, Menikou, Stephanie, Mustafa, Sobia, Nadel, Simon, Rahman, Rahmeen, Shailes, Hannah, Thakker, Clare, Bokhandi, S., Power, Sue, Barham, Heather, Pathan, N., Ridout, Jenna, White, Deborah, Thurston, Sarah, Faust, S., Patel, S., McCorkell, Jenni, Davies, P., Crate, Lindsey, Navarra, Helen, Carter, Stephanie, Ramaiah, R., Patel, Rekha, Tuffrey, Catherine, Gribbin, Andrew, McCready, Sharon, Peters, Mark, Hardy, Katie, Standing, Fran, O'Neill, Lauren, Abelake, Eugenia, Deep, Akash, Nsirim, Eniola, Pollard, Andrew, Willis, Louise, Young, Zoe, Royad, C., White, Sonia, Fortune, Peter-Marc, Hudnott, Phil, Martinón-Torres, Federico, Salas, Antonio, Álvez González, Fernando, Barral-Arca, Ruth, Cebey-López, Miriam, Curras-Tuala, María José, García, Natalia, García Vicente, Luisa, Gómez-Carballa, Alberto, Gómez Rial, Jose, Grela Beiroa, Andrea, Justicia Grande, Antonio, Leboráns Iglesias, Pilar, Martínez Santos, Alba Elena, Martinón-Torres, Nazareth, Martinón Sánchez, José María, Morillo Gutiérrez, Beatriz, Mosquera Pérez, Belén, Obando Pacheco, Pablo, Pardo-Seco, Jacobo, Pischedda, Sara, Rivero-Calle, Irene, Rodríguez-Tenreiro, Carmen, Redondo-Collazo, Lorenzo, Salas Ellacuriaga, Antonio, Fernández, Sonia Serén, del Sol Porto Silva, María, Vega, Ana, Vilanova Trillo, Lucía, Reyes, Susana Beatriz, Cruz León León, María, Navarro Mingorance, Álvaro, Gabaldó Barrio, Xavier, Oñate Vergara, Eider, Concha Torre, Andrés, Vivanco, Ana, Fernández, Reyes, Giménez Sánchez, Francisco, Sánchez Forte, Miguel, Rojo, Pablo, Contreras, J. Ruiz, Palacios, Alba, Epalza Ibarrondo, Cristina, Fernández Cooke, Elizabeth, Navarro, Marisa, Álvarez Álvarez, Cristina, José Lozano, María, Carreras, Eduardo, Brió Sanagustín, Sonia, Neth, Olaf, Martínez Padilla, Mª del Carmen, Prieto Tato, Luis Manuel, Guillén, Sara, Fernández Silveira, Laura, Moreno, David, de Groot, R., Tutu van Furth, A.M., van der Flier, M., Boeddha, N.P., Driessen, G.J.A., Emonts, M., Hazelzet, J.A., Kuijpers, T.W., Pajkrt, D., Sanders, E.A.M., van de Beek, D., van der Ende, A., Philipsen, H.L.A., Adeel, A.O.A., Breukels, M.A., Brinkman, D.M.C., de Korte, C.C.M.M., de Vries, E., de Waal, W.J., Dekkers, R., Dings-Lammertink, A., Doedens, R.A., Donker, A.E., Dousma, M., Faber, T.E., Gerrits, G.P.J.M., Gerver, J.A.M., Heidema, J., Homan-van der Veen, J., Jacobs, M.A.M., Jansen, N.J.G., Kawczynski, P., Klucovska, K., Kneyber, M.C.J., Koopman-Keemink, Y., Langenhorst, V.J., Leusink, J., Loza, B.F., Merth, I.T., Miedema, C.J., Neeleman, C., Noordzij, J.G., Obihara, C.C., van Overbeek- van Gils, A.L.T., Poortman, G.H., Potgieter, S.T., Potjewijd, J., Rosias, P.P.R., Sprong, T., ten Tussher, G.W., Thio, B.J., Tramper-Stranders, G.A., van Deuren, M., van der Meer, H., van Kuppevelt, A.J.M., van Wermeskerken, A.M., Verwijs, W.A., Wolfs, T.F.W., Schlapbach, Luregn J., Agyeman, Philipp, Aebi, Christoph, Giannoni, Eric, Stocker, Martin, Posfay-Barbe, Klara M., Heininger, Ulrich, Bernhard-Stirnemann, Sara, Niederer-Loher, Anita, Kahlert, Christian, Hasters, Paul, Relly, Christa, Baer, Walter, Berger, Christoph, Carrol, Enitan D., Paulus, Stéphane, Frederick, Hannah, Jennings, Rebecca, Johnston, Joanne, Kenwright, Rhian, Fink, Colin G, Pinnock, Elli, Emonts, Marieke, Agbeko, Rachel, Anderson, Suzanne, Secka, Fatou, Bojang, Kalifa, Sarr, Isatou, Kebbeh, Ngange, Sey, Gibbi, Saidykhan, Momodou, Cole, Fatoumata, Thomas, Gilleh, Antonio, Martin, Zenz, Werner, Kohlfürst, Daniela S., Binder, Alexander, Schweintzger, Nina A., Sagmeister, Manfred, Baumgart, Hinrich, Baumgartner, Markus, Behrends, Uta, Biebl, Ariane, Birnbacher, Robert, Blanke, Jan-Gerd, Boelke, Carsten, Breuling, Kai, Brunner, Jürgen, Buller, Maria, Dahlem, Peter, Dietrich, Beate, Eber, Ernst, Elias, Johannes, Emhofer, Josef, Etschmaier, Rosa, Farr, Sebastian, Girtler, Ylenia, Grigorow, Irina, Heimann, Konrad, Ihm, Ulrike, Jaros, Zdenek, Kalhoff, Hermann, Kaulfersch, Wilhelm, Kemen, Christoph, Klocker, Nina, Köster, Bernhard, Kohlmaier, Benno, Komini, Eleni, Kramer, Lydia, Neubert, Antje, Ortner, Daniel, Pescollderungg, Lydia, Pfurtscheller, Klaus, Reiter, Karl, Ristic, Goran, Rödl, Siegfried, Sellner, Andrea, Sonnleitner, Astrid, Sperl, Matthias, Stelzl, Wolfgang, Till, Holger, Trobisch, Andreas, Vierzig, Anne, Vogel, Ulrich, Weingarten, Christina, Welke, Stefanie, Wimmer, Andreas, Wintergerst, Uwe, Wüller, Daniel, Zaunschirm, Andrew, Ziuraite, Ieva, Žukovskaja, Veslava, Hibberd, Martin L., Davila, Sonia, Delany, Isabel, Schlapbach, Luregn J, Raman, Sainath, Sharp, Nathalie, Phillips, Natalie, Irwin, Adam, Balch, Ross, Harley, Amanda, Johnson, Kerry, Sever, Zoe, George, Shane, Grimwood, Keith, Snelling, Peter J, Chavan, Arjun, Kitcatt, Eleanor, Lawton, Luke, Hempenstall, Allison, Pilot, Pelista, Gibbons, Kristen S, Le Marsney, Renate, Blumenthal, Antje, Ganesamoorthy, Devika, Pardo, Carolyn, Kling, Jessica, McPherson, Stephen, MacDonald, Anna D, Bialasiewicz, Seweryn, Pham, Trang, and Coin, Lachlan

Abstract

Sepsis is defined as dysregulated host response to infection that leads to life-threatening organ dysfunction. Biomarkers characterising the dysregulated host response in sepsis are lacking. We aimed to develop host gene expression signatures to predict organ dysfunction in children with bacterial or viral infection.

Published
2024
Full Text
View/download PDF

39. Evaluating the robustness of nature-based solutions: future resilience of sedum-based soft capping as a conservation approach for heritage sites in Britain and Ireland.

Author

Richards, Jenny, Cooke, Elizabeth L., Coombes, Martin, Jones, Johanna, and Viles, Heather

Subjects
HISTORIC sites, COLONIZATION (Ecology), GLOBAL warming, DETERIORATION of materials, SPECIES distribution
Abstract

Nature-based solutions are seen to benefit both society and biodiversity. However, research into their future resilience is required. Soft capping is a nature-based conservation strategy that mimics the natural colonisation of plants on top of ruined walls and reduces rates of material deterioration. To remain effective, soft capping species must be tolerant of future climatic conditions. We use the Maxent species distribution model to assess the resilience of soft capping species to low and high emission scenarios across Britain and Ireland. We assess the mid- and end-century presence probability of four native and archaeophyte species used in soft capping (Sedum album, S. acre, S. anglicum and Saxifraga granulata). Future presence probabilities were calculated using the climate models HadGEM3-GC31-LL, IPSL-CM6A-LR and MIROC6. Results suggest that current sedum-based soft caps will remain viable until mid-century with additional maintenance (e.g. watering) during droughts, although soft caps predominantly formed of Sedum album may be prone to failure in south-eastern England. In the future, species more resilient to arid conditions may need to be preferentially selected for soft capping to ensure resilience under a warming climate. Species distribution modelling provides a useful way of predicting the future resilience of nature-based solutions. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

42. Contributors

Author

Abdel-Wahab, Omar, primary, Abrahm, Janet L., additional, Adams, Sharon, additional, Adewoye, Adeboye H., additional, Allen, Carl, additional, Ambinder, Richard F., additional, Anasetti, Claudio, additional, Anastasi, John, additional, Anderson, Julia A., additional, Antin, Joseph H., additional, Antony, Aśok C., additional, Araten, David J., additional, Armand, Philippe, additional, Armstrong, Gillian, additional, Armstrong, Scott A., additional, Arnold, Donald M., additional, Artz, Andrew S., additional, Awan, Farrukh T., additional, Baglin, Trevor P., additional, Benson, Don M., additional, Benz, Edward J., additional, Berliner, Nancy, additional, Bhagat, Govind, additional, Bhardwaj, Nina, additional, Bhatia, Ravi, additional, Bhatia, Smita, additional, Bhatt, Mihir D., additional, Bhatt, Vijaya Raj, additional, Bitan, Menachem, additional, Blinderman, Craig D., additional, Bollard, Catherine M., additional, Braun, Benjamin S., additional, Brenner, Malcolm K., additional, Brittenham, Gary M., additional, Brodsky, Robert A., additional, Brown, Myles, additional, Broxmeyer, Hal E., additional, Brummel-Ziedins, Kathleen, additional, Brunner, Andrew M., additional, Buadi, Francis K., additional, Burkhardt, Birgit, additional, Burns, Melissa, additional, Byrd, John C., additional, Caimi, Paolo F., additional, Caligiuri, Michael A., additional, Canavan, Michelle, additional, Cantor, Alan B., additional, Carcao, Manuel, additional, Carroll, Michael C., additional, Carty, Shannon A., additional, Castillo, Jorge J., additional, Chan, Anthony K.C., additional, Chapin, John, additional, Chiu, April, additional, Chute, John P., additional, Clark, David B., additional, Coates, Thomas D., additional, Cogle, Christopher R., additional, Connell, Nathan T., additional, Cooke, Elizabeth, additional, Cooley, Sarah, additional, Corradini, Paolo, additional, Creager, Mark A., additional, Creger, Richard J., additional, Cromwell, Caroline, additional, Crowther, Mark A., additional, Cushing, Melissa M., additional, Cutler, Corey, additional, Dang, Chi V., additional, Danial, Nika N., additional, Dave, Sandeep S., additional, DeCaprio, James A., additional, Dinauer, Mary C., additional, Dinner, Shira, additional, Diz-Küçükkaya, Reyhan, additional, Dodd, Roger Y., additional, Donato, Michele L., additional, Dorshkind, Kenneth, additional, Dotti, Gianpietro, additional, Dror, Yigal, additional, Dunleavy, Kieron, additional, Dvorak, Christopher C., additional, Ebert, Benjamin L., additional, Eck, Michael J., additional, Eikelboom, John W., additional, Epperla, Narendranath, additional, Ershler, William B., additional, Evans, William E., additional, Faderl, Stefan, additional, Ferrara, James L.M., additional, Filipovich, Alexandra Hult, additional, Fischer, Martin, additional, Fredenburgh, James C., additional, Friedman, Kenneth D., additional, Fuchs, Ephraim, additional, Fuller, Stephen J., additional, Gailani, David, additional, Galipeau, Jacques, additional, Gallagher, Patrick G., additional, Ganapathi, Karthik A., additional, Gardner, Lawrence B., additional, Gee, Adrian P., additional, Gerson, Stanton L., additional, Gertz, Morie A., additional, Giardina, Patricia J., additional, Gibson, Christopher J., additional, Golan, Karin, additional, Golub, Todd R., additional, Gonzales, Matthew J., additional, Gotlib, Jason, additional, Gottschalk, Stephen, additional, Grant, Marianne A., additional, Graubert, Timothy A., additional, Gregg, Xylina T., additional, Gribben, John G., additional, Gross, Dawn M., additional, Gruber, Tanja A., additional, Guitart, Joan, additional, Gurbuxani, Sandeep, additional, Gur-Cohen, Shiri, additional, Gutierrez, Alejandro, additional, Hamadani, Mehdi, additional, Hari, Parameswaran N., additional, Hartwig, John H., additional, Hayman, Suzanne R., additional, Hayward, Catherine P.M., additional, Hebbel, Robert P., additional, Heslop, Helen E., additional, Hillis, Christopher, additional, Hillyer, Christopher D., additional, Ho, Karin, additional, Hockenbery, David M., additional, Hoffman, Ronald, additional, Hogg, Kerstin E., additional, Holtan, Shernan G., additional, Horny, Hans-Peter, additional, Hsu, Yen-Michael S., additional, Hunter, Zachary R., additional, Huntington, James A., additional, Iancu-Rubin, Camelia, additional, Iqbal, Ali, additional, Isenman, David E., additional, Israels, Sara J., additional, Italiano, Joseph E., additional, Jaffe, Elaine S., additional, Jaffer, Iqbal H., additional, Jagannath, Sundar, additional, Jäger, Ulrich, additional, Jain, Nitin, additional, James, Paula, additional, Jeha, Sima, additional, Jordan, Michael B., additional, Josephson, Cassandra D., additional, Jung, Moonjung, additional, Kager, Leo, additional, Kambayashi, Taku, additional, Kanakry, Jennifer A., additional, Kantarjian, Hagop M., additional, Kaplan, Jason, additional, Karafin, Matthew S., additional, Karsan, Aly, additional, Kaufman, Randal J., additional, Kaufman, Richard M., additional, Keller, Frank G., additional, Kelly, Kara M., additional, Kessler, Craig M., additional, Key, Nigel S., additional, Keyzner, Alla, additional, Khandoga, Alexander G., additional, Khanna-Gupta, Arati, additional, Khatib-Massalha, Eman, additional, Klein, Harvey G., additional, Knoechel, Birgit, additional, Kollet, Orit, additional, Konkle, Barbara A., additional, Kontoyiannis, Dimitrios P., additional, Koreth, John, additional, Koretzky, Gary A., additional, Kotecha, Dipak, additional, Kremyanskaya, Marina, additional, Kumari, Anju, additional, Kuzel, Timothy M., additional, Küppers, Ralf, additional, Lacy, Martha Q., additional, Ladas, Elana, additional, Landier, Wendy, additional, Lapid, Kfir, additional, Lapidot, Tsvee, additional, Larson, Peter J., additional, Levi, Marcel, additional, Lewis, Russell E., additional, Liebman, Howard A., additional, Lillicrap, David, additional, Lim, Wendy, additional, Lin, Judith C., additional, Lindblad, Robert, additional, Lip, Gregory Y.H., additional, Little, Jane A., additional, Lohr, Jens G., additional, López, José A., additional, Luscinskas, Francis W., additional, Maciejewski, Jaroslaw P., additional, Majhail, Navneet S., additional, Manches, Olivier, additional, Mandle, Robert J., additional, Mann, Kenneth G., additional, Manno, Catherine S., additional, Marcogliese, Andrea N., additional, Mariani, Guglielmo, additional, Marincola, Francesco M., additional, Mascarenhas, John, additional, Massberg, Steffen, additional, McEver, Rodger P., additional, McGrath, Emer, additional, McKinney, Matthew S., additional, Mehta, Rohtesh S., additional, Mentzer, William C., additional, Merlini, Giampaolo, additional, Merryman, Reid, additional, Michel, Marc, additional, Migliaccio, Anna Rita, additional, Miller, Jeffrey S., additional, Mims, Martha P., additional, Mondoro, Traci Heath, additional, Moorehead, Paul, additional, Muniz, Luciana R., additional, Munshi, Nikhil C., additional, Najfeld, Vesna, additional, Nayak, Lalitha, additional, Nazy, Ishac, additional, Neff, Anne T., additional, Ness, Paul M., additional, Notarangelo, Luigi D., additional, O'Brien, Sarah H., additional, O'Connor, Owen A., additional, O'Donnell, Martin, additional, Olson, Amanda, additional, Orkin, Stuart H., additional, Pai, Menaka, additional, Pai, Sung-Yun, additional, Paidas, Michael, additional, Panch, Sandhya R., additional, Pande, Reena L., additional, Papayannopoulou, Thalia, additional, Parikh, Rahul, additional, Petersdorf, Effie W., additional, Peterson, Shane E., additional, Pittaluga, Stefania, additional, Ponce, Doris M., additional, Popolo, Laura, additional, Prchal, Josef T., additional, Pui, Ching-Hon, additional, Puigserver, Pere, additional, Rak, Janusz, additional, Ramos, Carlos A., additional, Rand, Jacob H., additional, Rand, Margaret L., additional, Rao, Dinesh S., additional, Ravandi, Farhad, additional, Rawlings, David J., additional, Reddy, Pavan, additional, Reding, Mark T., additional, Reiter, Andreas, additional, Rice, Lawrence, additional, Riese, Matthew J., additional, Ritchey, Arthur Kim, additional, Roberts, David J., additional, Roman, Elizabeth, additional, Rooney, Cliona M., additional, Rosen, Steven T., additional, Rosenthal, David S., additional, Rossmann, Marlies P., additional, Rot, Antal, additional, Rowley, Scott D., additional, Rubnitz, Jeffrey E., additional, Rydz, Natalia, additional, Salama, Mohamed E., additional, Sauk, Steven, additional, Saunthararajah, Yogen, additional, Savage, William, additional, Scadden, David, additional, Schaefer, Kristen G., additional, Schiffman, Fred, additional, Schneidewend, Robert, additional, Schrier, Stanley L., additional, Schuchman, Edward H., additional, Scullion, Bridget Fowler, additional, Selvaggi, Kathy J., additional, Senoo, Keitaro, additional, Shaheen, Montaser, additional, Shaz, Beth H., additional, Shelburne, Samuel A., additional, Shpall, Elizabeth J., additional, Shurin, Susan B., additional, Siegal, Deborah, additional, Silberstein, Leslie E., additional, Silberstein, Lev, additional, Silverstein, Roy L., additional, Sloan, Steven R., additional, Smith, Franklin O., additional, Smith, James W., additional, Smith, Katy, additional, Steensma, David P., additional, Steinberg, Martin H., additional, Stock, Wendy, additional, Storry, Jill R., additional, Stramer, Susan L., additional, Strauss, Ronald G., additional, Stroncek, David F., additional, Taylor, Justin, additional, Thota, Swapna, additional, Treon, Steven P., additional, Tulpule, Anil, additional, Valdes, Roberto Ferro, additional, Valent, Peter, additional, Vedantham, Suresh, additional, Vercellotti, Gregory M., additional, Verneris, Michael R., additional, Vichinsky, Elliott P., additional, von Andrian, Ulrich H., additional, Vose, Julie M., additional, Wagner, Andrew J., additional, Wang, Ena, additional, Wang, Jia-huai, additional, Warkentin, Theodore E., additional, Wasserstein, Melissa P., additional, Webster, Ann, additional, Weisdorf, Daniel J., additional, Weitz, Jeffrey I., additional, Westhoff, Connie M., additional, Wheeler, Allison P., additional, Widick, Page, additional, Wiley, James S., additional, William, Basem M., additional, Williams, David A., additional, Wilson, Wyndham H., additional, Wolfe, Joanne, additional, Wolgast, Lucia R., additional, Wood, Deborah, additional, Wu, Jennifer, additional, Yahalom, Joachim, additional, Yee, Donald L., additional, Younes, Anas, additional, Young, Neal S., additional, and Zeller, Michelle P., additional

Published
2018
Full Text
View/download PDF

43. The galaxy mass-size relation in CARLA clusters and proto-clusters at 1.4 < z < 2.8: Larger cluster galaxy sizes

Author

Afanasiev, Anton V., primary, Mei, Simona, additional, Fu, Hao, additional, Shankar, Francesco, additional, Amodeo, Stefania, additional, Stern, Daniel, additional, Cooke, Elizabeth A., additional, Gonzalez, Anthony H., additional, Noirot, Gaël, additional, Rettura, Alessandro, additional, Wylezalek, Dominika, additional, De Breuck, Carlos, additional, Hatch, Nina A., additional, Stanford, Spencer A., additional, and Vernet, Joël, additional

Published
2023
Full Text
View/download PDF

44. Morphology-density relation, quenching, and mergers in CARLA clusters and protoclusters at 1.4 < z < 2.8

Author

Mei, Simona, primary, Hatch, Nina A., additional, Amodeo, Stefania, additional, Afanasiev, Anton V., additional, De Breuck, Carlos, additional, Stern, Daniel, additional, Cooke, Elizabeth A., additional, Gonzalez, Anthony H., additional, Noirot, Gaël, additional, Rettura, Alessandro, additional, Seymour, Nick, additional, Stanford, Spencer A., additional, Vernet, Joël, additional, and Wylezalek, Dominika, additional

Published
2023
Full Text
View/download PDF

45. Detection of COVID-19 by Quantitative Analysis of Carbonyl Compounds in Exhaled Breath

Author

Xie, Zhenzhen, primary, Morris, James D., additional, Pan, Jianmin, additional, Cooke, Elizabeth A., additional, Sutaria, Saurin R., additional, Balcom, Dawn, additional, Marimuthu, Subathra, additional, Parrish, Leslie W., additional, Aliesky, Holly, additional, Huang, Justin J., additional, Rai, Shesh N., additional, Arnold, Forest W., additional, Huang, Jiapeng, additional, Nantz, Michael H., additional, and Fu, Xiao-An, additional

Published
2023
Full Text
View/download PDF

50. Decreasing Admissions but Increasing Readmissions for Mental Health in-Patient Treatment in Scotland, UK.

Author

COOKE, Elizabeth A., LEMANSKA, Agnieszka, and THOMAS, Spencer A.

Abstract

We have analysed mental health data for in-patient admissions from 1997 to 2021 in Scotland. The number of patient admissions for mental health patients is declining despite population numbers increasing. This is driven by the adult population; child and adolescent numbers are consistent. We find that mental health in-patients are more likely to be from deprived areas: 33 % of patients are from the most deprived areas, compared to only 11 % from the least deprived. The average length of stay for a mental health in-patient is decreasing, with a rise in stays lasting less than a day. The number of mental health patients who have been readmitted within a month fell from 1997 to 2011, then increased to 2021. Despite the average stay length decreasing, the number of overall readmissions is increasing, suggesting patients are having more, shorter stays. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results