7 research outputs found
A new method for estimating negative dP/dt in patients without valvular regurgitation
- Publication venue
- 'Elsevier BV'
- Publication date
- 01/01/1998
- Field of study
Structural Features of Quercetin Derivatives by Using Pharmaco-phore Modeling Approach
- Author
- Publication venue
- 'Bentham Science Publishers Ltd.'
- Publication date
- Field of study
Characterization of Tajogaite volcanic plumes detected over the Iberian Peninsula from a set of satellite and ground-based remote sensing instrumentation
- Author
- Abril-Gago J.
- Alados-Arboledas L.
- BarragĂĄn R.
- Barreto A.
- Bortoli D.
- Bravo-Aranda J.A.
- Carvajal-PĂ©rez C.V.
- Cazorla A.
- ComerĂłn A.
- Costa M.J.
- Couto F.T.
- CĂłrdoba-Jabonero C.
- Foyo-Moreno I.
- GonzĂĄlez R.
- Granados-Muñoz M.J.
- Guerrero-Rascado J.L.
- GĂl-DĂaz C.
- Herreras-Giralda M.
- LĂłpez-Cayuela M.Ă.
- Molero F.
- Muñiz-Rosado J.A.
- Muñoz-Porcar C.
- ObregĂłn M.A.
- Oliveira D.C.F.S.
- Potes M.
- PĂ©rez-RamĂrez D.
- RodrĂguez-GĂłmez A.
- RomĂĄn R.
- Salgueiro V.
- Serrano A.
- Sicard Michaël
- Publication venue
- Elsevier
- Publication date
- 13/06/2023
- Field of study
International audienceGuadiana-UGR), while in event II this variation was from 11 ± 7 Όm 3 cm-3 (Badajoz) to 27 ± 10 Όm 3 cm-3 (Guadiana-UGR). Due to the impact of volcanic events on atmospheric and economic fields, such as radiative forcing and airspace security, a proper characterization is required. This work undertakes it using advanced instrumentation and methods
Delay in diagnosis of influenza A (H1N1)pdm09 virus infection in critically ill patients and impact on clinical outcome
- Author
- Aguilar P.A.
- Albaya A.
- Albofedo-SĂĄnchez J.
- Almirall J.
- Alonso Ă.Ă.
- Alé M.P.
- Andrés C.J.
- Andrés N.H.
- Ansorregui S.B.
- AnzĂĄlez A.O.
- Arenzana Ă.
- Arnau E.
- Avellanas M.L.
- AyestarĂĄn I.
- Añón J.M.
- Baeza I.
- BalanzĂł X.
- Ballesteros J.L.
- BallĂșs J.
- Barbadillo S.
- Bartolomé B.J.
- Berezo J.Ă.
- Beryanaki M.Z.
- Borges-Sa M.
- Brea A.M.P.
- Cabré L.
- Canabal A.
- Carbayo C.
- Carbonero J.A.M.
- Casas J.F.M.
- Castellanos M.Ă.D.
- CatalĂĄn I.
- CatalĂĄn R.M.
- CervellĂł J.R.
- Checa A.A.
- Cilloniz C.
- Cobo P.
- Crespo C.M.
- Crespo M.R.
- Cuadrado M.M.
- CĂĄceres J.J.
- CĂĄrdenas A.
- CĂa I.G.
- de Arellano S.G.R.
- de Medrano M.G.L.
- de Toro I.L.
- de la Torre
- Del Castillo A.
- DĂaz E.
- DĂaz J.J.
- Echeverri S.O.
- Escudero R.Y.
- Estella Ă.
- Estrella C.A.
- Ezpeleta F.T.
- FernĂĄndez B.Q.
- FernĂĄndez D.O.
- FernĂĄndez E.
- FernĂĄndez F.
- FernĂĄndez S.R.
- FernĂĄndez Y.
- Ferrer M.
- Ferreras Z.
- Fierro J.
- GarcĂa B.R.
- GarcĂa Ă.
- GarcĂa-LĂłpez F.
- GarcĂa-RodrĂguez Ă.
- Garnacho-Montero J.
- GonzĂĄlez C.P.
- GonzĂĄlez de Molina
- GonzĂĄlez I.
- Goytisolo J.M.B.
- Granada R.M.
- Grande M.L.G.
- Guerrero R.
- GuĂa C.
- GĂłmez A.B.
- GĂŒell E.
- HernĂĄndez D.
- HernĂĄndez H.M.
- Herraez J.C.B.
- Hinojosa R.
- Huertos M.J.
- Ibañes P.G.
- Ibåñez P.
- Iglesia R.
- Iglesias L.
- Iglesias L.M.
- Iniesta R.S.
- Laborda C.
- Laderas J.C.P.
- Lagunes L.
- Lander A.
- Leria M.R.
- Leyba C.O.
- LeĂłn C.
- LeĂłn M.E.
- Lobato F.
- Lomas L.T.
- Lorente L.
- Loza A.
- Luque P.
- LĂĄzaro J.F.M.
- LĂłpez M.Ă.G.
- LĂłpez O.
- LĂłpez S.G.
- MacĂas S.
- Marcos R.J.
- Marina L.
- Mariño A.L.B.
- Marquina Lacueva M.I.
- Marsilla J.I.T.
- Martins J.
- MartĂn Loeches I.
- MartĂn M.
- MartĂn-Loeches I.
- MartĂnez P.
- MartĂnez S.
- MarĂn-Corral J.
- Masclans J.R.
- Mañéz R.
- Messa J.B.L.
- MontĂłn J.M.
- Muñoz C.
- MĂĄrquez E.
- Navarrete I.
- Nieto M.
- Nolla J.
- NĂșñez C.L.
- ObregĂłn A.S.
- Ocaña D.
- Ortiz M.V.
- OrtĂz M.
- Oyargue E.Q.
- Padilla A.
- Palacio M.S.
- Palacios B.M.
- Polo C.S.
- Pomares J.
- Prieto J.F.
- Pueyo M.J.L.
- Puncel C.B.
- PĂ mies C.V.
- PĂĄez J.
- PĂĄez Z.
- PĂ©rez G. F.J.
- PĂ©rez M.
- PĂ©rez M.L.C.
- Quintero M.L.M.
- RamĂrez C.S.
- Rebolledo J.P.
- Regalado L.
- Regil P.D.
- Rello J.
- Revuelta M.R.M.
- Rivero J.C.
- Robles J.C.
- Robles-Musso E.
- RodrĂguez A.
- RodrĂguez D.G.
- RodrĂguez M.C.M.
- RodrĂguez-Carvajal M.
- Romero O.M.
- Rovira A.
- Ruiz J.M.Q.
- Ruiz-Santana S.
- Sala C.
- Salamanca Ă.G.
- Schweizer P.B.
- Senoff R.P.
- Serrano E.P.
- SerĂłn C.
- Sierra R.
- SimĂłn A.
- Sirvent
- SisĂłn M.
- Socias A.
- Socias L.
- Sola E.C.
- Soler G.S.
- Soria L.V.
- Souto J.
- Suberviola B.
- SĂĄnchez I.
- Terrero A.Ă.
- Torres A.
- Trujillo A.
- Ugarte P.
- Ule D.C.
- Vallés J.
- Varela J.B.
- Vila C.
- VĂĄzquez A.
- YĂ©benes J.C.
- Zirena A.C.C.
- ĂĄlvarez H.A.H
- Ălvarez-Lerma F.
- ĂĄlvarez-Lerma F.
- ĂĄvila R.C.
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/01/2016
- Field of study
Background: Patients infected with influenza A (H1N1)pdm09 virus requiring admission to the ICU remain an important source of mortality during the influenza season. The objective of the study was to assess the impact of a delay in diagnosis of community-acquired influenza A (H1N1)pdm09 virus infection on clinical outcome in critically ill patients admitted to the ICU. Methods: A prospective multicenter observational cohort study was based on data from the GETGAG/SEMICYUC registry (2009â2015) collected by 148 Spanish ICUs. All patients admitted to the ICU in which diagnosis of influenza A (H1N1)pdm09 virus infection had been established within the first week of hospitalization were included. Patients were classified into two groups according to the time at which the diagnosis was made: early (within the first 2 days of hospital admission) and late (between the 3rd and 7th day of hospital admission). Factors associated with a delay in diagnosis were assessed by logistic regression analysis. Results: In 2059 ICU patients diagnosed with influenza A (H1N1)pdm09 virus infection within the first 7 days of hospitalization, the diagnosis was established early in 1314 (63.8 %) patients and late in the remaining 745 (36.2 %). Independent variables related to a late diagnosis were: age (odds ratio (OR)â=â1.02, 95 % confidence interval (CI) 1.01â1.03, Pâ<â0.001); first seasonal period (2009â2012) (ORâ=â2.08, 95 % CI 1.64â2.63, Pâ<â0.001); days of hospital stay before ICU admission (ORâ=â1.26, 95 % CI 1.17â1.35, Pâ<â0.001); mechanical ventilation (ORâ=â1.58, 95 % CI 1.17â2.13, Pâ=â0.002); and continuous venovenous hemofiltration (ORâ=â1.54, 95 % CI 1.08â2.18, Pâ=â0.016). The intra-ICU mortality was significantly higher among patients with late diagnosis as compared with early diagnosis (26.9 % vs 17.1 %, Pâ<â0.001). Diagnostic delay was one independent risk factor for mortality (ORâ=â1.36, 95 % CI 1.03â1.81, Pâ<â0.001). Conclusions: Late diagnosis of community-acquired influenza A (H1N1)pdm09 virus infection is associated with a delay in ICU admission, greater possibilities of respiratory and renal failure, and higher mortality rate. Delay in diagnosis of flu is an independent variable related to death
Mesenchymal Stem Cells, Immune Cells and Tumor Cells Crosstalk: A Sinister Triangle in the Tumor Microenvironment
- Author
- Abbas Ghaderi
- Abdi R.
- Aggarwal S.
- Alkatout I.
- Amarnath S.
- Ankrum J.A.
- Arina A.
- Asari S.
- Augsten M.
- Bahrami B.
- Bailey S.R.
- Bernardo M.E.
- Berniakovich I.
- Brabletz T.
- Burr S.P.
- Burrello J.
- Carrion F.
- Cassatella M.A.
- Cesselli D.
- Chalhoub N.
- Chan J.L.
- Chang A.I.
- Chen K.
- Cheng P.
- Chiesa S.
- Cho D.I.
- Coffman L.G.
- Comoli P.
- Crisostomo P.R.
- Cuiffo B.G.
- Di Ianni M.
- Di Nicola M.
- Ding D.C.
- Ding D.C.
- Dominici M.
- Dostert G.
- Duda D.G.
- Dvorak H.F.
- Efimenko A.
- English K.
- Fan L.
- Francois M.
- Franquesa M.
- Gabashvili A.N.
- Galland S.
- Gao F.
- Gao H.
- Ghaderi A.
- Ghosh T.
- Glennie S.
- Gong M.
- Guillen M.I.
- Haddad R.
- Haniffa M.A.
- Hass R.
- Hossain A.
- Hu J.
- Hung S.C.
- Ji Y.R.
- Jing Y.
- Jung H.Y.
- Karsy M.
- Kaundal U.
- Khakoo A.Y.
- Kim E.J.
- Kim R.
- Kimura K.
- Komarova S.
- Krampera M.
- Kucerova L.
- Lamouille S.
- Lazennec G.
- Le Blanc K.
- Le Blanc K.
- Leach J.K.
- Lee H.Y.
- Li G.
- Li G.C.
- Li H.J.
- Li W.
- Liotta F.
- Liu J.
- Liu S.
- Liu W.H.
- Ljujic B.
- Luk F.
- Luo J.
- Luz-Crawford P.
- Lv C.
- Ma O.K.
- Maccario R.
- Magana-Guerrero F.S.
- Mahboobeh Razmkhah
- Martin F.T.
- Mathew E.
- McLean K.
- Meisel R.
- Melief S.M.
- Mushahary D.
- Najar M.
- Nakaya Y.
- Niu J.
- Orciani M.
- Oswald J.
- Otsu K.
- Pacioni S.
- Papaccio F.
- Patel S.A.
- Patel S.A.
- Paunescu V.
- Petri R.M.
- Pietras K.
- Prantl L.
- Puissant B.
- Qiao L.
- Quail D.F.
- Raffaghello L.
- Rasmusson I.
- Razmkhah M.
- Razmkhah M.
- Ren G.
- Rhee K.J.
- Ridge S.M.
- Roorda B.D.
- Sanchez C.
- Schepers K.
- Selmani Z.
- Shabnam Abtahi
- Shahar T.
- Shi Y.
- So K.A.
- Sohni A.
- Spaeth E.L.
- Spaggiari G.M.
- Spaggiari G.M.
- Spaggiari GM
- Studeny M.
- Su T.
- Sun B
- Suzuki K.
- Tabera S.
- Takigawa H.
- Tang R.J.
- Thiery J.P.
- Torsvik A.
- Tran Janco J.M.
- Tsai K.S.
- Uccelli A.
- Ullah I.
- Ungerer C.
- Vasandan A.B.
- Vellasamy S.
- Wang M.
- Wang Y.
- Wang Y.
- Weis S.M.
- Whiteside T.L.
- Wolf D.
- Wolfe A.R.
- Wu S.
- Xue J.G.
- Yang H.
- Yang H.M.
- Yang X.Y.
- Yazdani Y.
- Yu P.F.
- Zhang B.
- Zhang C.
- Zhang W.
- Zhang Y.
- Zhang Y.
- Zhao Z.G.
- Zhu Q.
- Zitvogel L.
- Publication venue
- 'Bentham Science Publishers Ltd.'
- Publication date
- Field of study
Nucleon and Î Î Elastic and Transition Form Factors
- Author
- A. Bashir
- A. Bashir
- A. Bender
- A. Buchmann
- A. Buchmann
- A. Idilbi
- A. Puckett
- A. Salam
- A.J. Buchmann
- A.J. Buchmann
- A.J. Buchmann
- A.J.R. Puckett
- B. Julia-Diaz
- B. Plaster
- C. Alexandrou
- C. Alexandrou
- C. Alexandrou
- C. Alexandrou
- C. Chen
- C. Chen
- C.D. Roberts
- C.D. Roberts
- C.D. Roberts
- C.D. Roberts
- C.D. Roberts
- C.D. Roberts
- C.E. Carlson
- C.J. Burden
- C.J. Burden
- C.S. Fischer
- Craig D. Roberts
- D. Armstrong
- D. Blaschke
- D. Glazier
- D. Jarecke
- D. Nicmorus
- D.J. Wilson
- E.W. Hughes
- F. Gao
- F. Schlumpf
- F.E. Close
- F.T. Hawes
- G. Blanpied
- G. Cates
- G. Eichmann
- G. Eichmann
- G. Eichmann
- G. Warren
- G.R. Farrar
- H. Kamano
- H. Sanchis-Alepuz
- H. Sanchis-Alepuz
- H. Zhu
- H.D. Politzer
- H.F. Jones
- H.L.L. Roberts
- H.L.L. Roberts
- H.L.L. Roberts
- I. Aznauryan
- I. Aznauryan
- I. Aznauryan
- I. Aznauryan
- I. Aznauryan
- I. Cloët
- I. Cloët
- I. Cloët
- I.C. Cloët
- I.C. Cloët
- I.C. Cloët
- I.C. Cloët
- I.C. Cloët
- I.C. Cloët
- Ian C. Cloët
- J. Beringer
- J. Bermuth
- J. Dudek
- J. Segovia
- J. Segovia
- J. Segovia
- J. Singh
- J. Zhang
- J.C.R. Bloch
- J.J. Kelly
- J.S. Ball
- Jorge Segovia
- K. Aniol
- K.-L. Wang
- K.D. Lane
- K.L. Mitchell
- L. Chang
- L. Chang
- L. Chang
- L. Chang
- L. Chang
- L. Chang
- L. Chang
- L. Chang
- L. Geng
- L.C. Hollenberg
- L.X. Gutiérrez-Guerrero
- M. Beg
- M. Bhagwat
- M. Döring
- M. Frank
- M. Krivoruchenko
- M. Oettel
- M. Oettel
- M. Oettel
- M.A. Luty
- M.A. Pichowsky
- M.B. Hecht
- M.B. Hecht
- M.D. Scadron
- M.K. Jones
- M.N. Butler
- M.S. Bhagwat
- M.S. Bhagwat
- M.S. Bhagwat
- M.S. Bhagwat
- N. Isgur
- N. Ishii
- N. Sparveris
- N. Suzuki
- N.I. Kochelev
- O. Gayou
- P. Maris
- P. Maris
- P. Maris
- P. Maris
- P. Maris
- P. Maris
- P. Maris
- P.J.A. Bicudo
- R. Alkofer
- R. Alkofer
- R. Babich
- R. Beck
- R. Bradford
- R. Madey
- R. Pohl
- R.D. Young
- R.J. Holt
- R.T. Cahill
- R.T. Cahill
- S. Boinepalli
- S. Riordan
- S. Stave
- S. Stein
- S.-X. Qin
- S.-X. Qin
- S.-X. Qin
- S.-X. Qin
- S.J. Brodsky
- S.J. Brodsky
- S.J. Brodsky
- S.R. Cotanch
- Sebastian M. Schmidt
- T. Aliev
- T. Horikawa
- T. Ledwig
- T. Pospischil
- T. Sato
- V. Mokeev
- V. Punjabi
- V.I. Mokeev
- W. Ash
- W. Bartel
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- Field of study
A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
- Publication venue
- Publication date
- 01/01/2020
- Field of study
We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in protonâproton collisions at an energy of s=13TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41 fb-1. A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to b b ÂŻ. © 2020, The Author(s)