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547 results on '"Villanueva, I."'

4. The communication complexity of XOR games via summing operators

Author

Palazuelos, C., Perez-Garcia, D., and Villanueva, I.

Subjects
Computer Science - Computational Complexity, Quantum Physics
Abstract

The discrepancy method is widely used to find lower bounds for communication complexity of XOR games. It is well known that these bounds can be far from optimal. In this context Disjointness is usually mentioned as a case where the method fails to give good bounds, because the increment of the value of the game is linear (rather than exponential) in the number of communicated bits. We show in this paper the existence of XOR games where the discrepancy method yields bounds as poor as one desires. Indeed, we show the existence of such games with any previously prescribed value. To prove this result we apply the theory of p-summing operators, a central topic in Banach space theory. We show in the paper other applications of this theory to the study of the communication complexity of XOR games.

Published
2010

5. Operator Space theory: a natural framework for Bell inequalities

Author

Junge, M., Palazuelos, C., Perez-Garcia, D., Villanueva, I., and Wolf, M. M.

Subjects
Quantum Physics
Abstract

In this letter we show that the field of Operator Space Theory provides a general and powerful mathematical framework for arbitrary Bell inequalities, in particular regarding the scaling of their violation within quantum mechanics. We illustrate the power of this connection by showing that bipartite quantum states with local Hilbert space dimension n can violate a Bell inequality by a factor of order $\frac{\sqrt{n}}{\log^2n}$ when observables with n possible outcomes are used. Applications to resistance to noise, Hilbert space dimension estimates and communication complexity are given., Comment: Short (non-technical) version of arXiv:0910.4228

Published
2009
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6. Unbounded violations of bipartite Bell Inequalities via Operator Space theory

Author

Junge, M., Palazuelos, C., Perez-Garcia, D., Villanueva, I., and Wolf, M. M.

Subjects
Quantum Physics
Abstract

In this work we show that bipartite quantum states with local Hilbert space dimension n can violate a Bell inequality by a factor of order $\sqrt{n}$ (up to a logarithmic factor) when observables with n possible outcomes are used. A central tool in the analysis is a close relation between this problem and operator space theory and, in particular, the very recent noncommutative $L_p$ embedding theory. As a consequence of this result, we obtain better Hilbert space dimension witnesses and quantum violations of Bell inequalities with better resistance to noise.

Published
2009
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8. Unbounded violation of tripartite Bell inequalities

Author

Perez-Garcia, D., Wolf, M. M, Palazuelos, C., Villanueva, I., and Junge, M.

Subjects
Quantum Physics, Mathematical Physics
Abstract

We prove that there are tripartite quantum states (constructed from random unitaries) that can lead to arbitrarily large violations of Bell inequalities for dichotomic observables. As a consequence these states can withstand an arbitrary amount of white noise before they admit a description within a local hidden variable model. This is in sharp contrast with the bipartite case, where all violations are bounded by Grothendieck's constant. We will discuss the possibility of determining the Hilbert space dimension from the obtained violation and comment on implications for communication complexity theory. Moreover, we show that the violation obtained from generalized GHZ states is always bounded so that, in contrast to many other contexts, GHZ states do in this case not lead to extremal quantum correlations. The results are based on tools from the theories of operator spaces and tensor norms which we exploit to prove the existence of bounded but not completely bounded trilinear forms from commutative C*-algebras., Comment: Substantial changes in the presentation to make the paper more accessible for a non-specialized reader

Published
2007
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13. On the Dunford-Pettis Property of the Tensor product of C(K) spaces

Author

Bombal, F. and Villanueva, I.

Subjects
Mathematics - Functional Analysis, 46B28, 47B07
Abstract

We characterize those compact Hausdorff spaces K such that the proyective tensor product of C(K) by itself has the Dunford-Pettis Property, answering thus in the negative a question posed by Castillo and Gonzalez., Comment: 5 pages

Published
2000

14. Prediction models of health-related quality of life in different neck pain conditions: a cross-sectional study

Author

Beltran-Alacreu H, López-de-Uralde-Villanueva I, Calvo-Lobo C, La Touche R, Cano-de-la-Cuerda R, Gil-Martínez A, Fernández-Ayuso D, and Fernández-Carnero J

Subjects
Quality of Life, Neck Pain, Disability, Depression, Anxiety., Medicine (General), R5-920
Abstract

Hector Beltran-Alacreu,1,2 Ibai López-de-Uralde-Villanueva,1,2 César Calvo-Lobo,3 Roy La Touche,1,2,4 Roberto Cano-de-la-Cuerda,5 Alfonso Gil-Martínez,1,2,4 David Fernández-Ayuso,6 Josué Fernández-Carnero2,4,5 1Departamento de Fisioterapia, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, Spain; 2Motion in Brains Research Group, Institute of Neuroscience and Movement Sciences (INCIMOV), Centro Superior de Estudios Universitarios La Salle, Universidad Autonóma de Madrid, Spain; 3Nursing and Physical Therapy Department, Institute of Biomedicine (IBIOMED), Faculty of Health Sciences, Universidad de León, Ponferrada, León, Spain; 4Hospital La Paz Institute for Health Research, IdiPAZ, Madrid, Spain; 5Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Universidad Rey Juan Carlos, Alcorcón, Madrid, Spain; 6“San Juan de Dios” School of Nursing and Physiotherapy, Pontifica de Comillas University, Madrid, Spain Purpose: The main aim of the study was to predict the health-related quality of life (HRQoL) based on physical, functional, and psychological measures in patients with different types of neck pain (NP). Materials and methods: This cross-sectional study included 202 patients from a primary health center and the physiotherapy outpatient department of a hospital. Patients were divided into four groups according to their NP characteristics: chronic (CNP), acute whiplash (WHIP), chronic NP associated with temporomandibular dysfunction (NP-TMD), or chronic NP associated with chronic primary headache (NP-PH). The following measures were performed: Short Form-12 Health Survey (SF-12), Neck Disability Index (NDI), visual analog scale (VAS), State-Trait Anxiety Inventory (STAI), Beck Depression Inventory (BECK), and cervical range of movement (CROM). Results: The regression models based on the SF-12 total HRQoL for CNP and NP-TMD groups showed that only NDI was a significant predictor of the worst HRQoL (48.9% and 48.4% of the variance, respectively). In the WHIP group, the regression model showed that BECK was the only significant predictor variable for the worst HRQoL (31.7% of the variance). Finally, in the NP-PH group, the regression showed that the BECK, STAI, and VAS model predicted the worst HRQoL (75.1% of the variance). Conclusion: Chronic nonspecific NP and chronic NP associated with temporomandibular dysfunction were the main predictors of neck disability. In addition, depression, anxiety, and pain were the main predictors of WHIP or primary headache associated with CNP. Keywords: quality of life, neck pain, disability, depression, anxiety

Published
2018

15. Management of pain in patients with temporomandibular disorder (TMD): challenges and solutions

Author

Gil-Martínez A, Paris-Alemany A, López-de-Uralde-Villanueva I, and La Touche R

Subjects
biobehavioral, management, pain, review, temporomandibular disorders., Medicine (General), R5-920
Abstract

Alfonso Gil-Martínez,1–3 Alba Paris-Alemany,1–4 Ibai López-de-Uralde-Villanueva,1–3 Roy La Touche1–4 1Department of Physiotherapy, 2Motion in Brains Research Group, Instituto de Neurociencias y Ciencias del Movimiento, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, 3Hospital La Paz Institute for Health Research, IdiPAZ, 4Institute of Neuroscience and Craniofacial Pain (INDCRAN), Madrid, Spain Abstract: Thanks to advances in neuroscience, biopsychosocial models for diagnostics and treatment (including physical, psychological, and pharmacological therapies) currently have more clinical support and scientific growth. At present, a conservative treatment approach prevails over surgery, given it is less aggressive and usually results in satisfactory clinical outcomes in mild–moderate temporomandibular disorder (TMD). The aim of this review is to evaluate the recent evidence, identify challenges, and propose solutions from a clinical point of view for patients with craniofacial pain and TMD. The treatment we propose is structured in a multimodal approach based on a biobehavioral approach that includes medical, physiotherapeutic, psychological, and dental treatments. We also propose a new biobehavioral model regarding pain perception and motor behavior for the diagnosis and treatment of patients with painful TMD. Keywords: biobehavioral, review, temporomandibular disorders, biobehavioral orofacial pain, multimodal approach, motor behavior, disability

Published
2018

16. POS0902 ANTI-SSA RO52 AND ANTI-RO60 AUTOANTIBODIES: ASSOCIATION WITH CLINICAL PHENOTYPES

Author

Mazeda, C., primary, Oliveira, N., additional, Abreu, C., additional, Fraga, V., additional, Maduro, A., additional, Saraiva, A., additional, Inês, L., additional, Campinho Ferreira, C., additional, Gomes Correia, A. M., additional, Nicolau, R., additional, Farinha, F., additional, Villanueva, I., additional, Jesus, D., additional, Azevedo Abreu, P. M., additional, Neto, A., additional, Silva-Dinis, J., additional, and Barcelos, A., additional

Published
2023
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17. PO-1986 Assesment of scenarios based and intrafractional robustness of dynamic proton arc plans

Author

PEREZ MORENO, J.M., primary, Engwall, E., additional, Wase, V., additional, Castro Novais, J., additional, Vera Sánchez, J.A., additional, Cerrón Campoo, F., additional, Lorenzo Villanueva, I., additional, Canals de las Casas, E., additional, Martin, O., additional, Sundström, J., additional, Montero Feijoo, M., additional, Sallabanda Hajro, M., additional, de Pablo González, A., additional, Matute Martín, R., additional, Miralbell, R., additional, and Mazal, A., additional

Published
2023
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18. PO-1981 Commissioning the beam model of apertures in a compact proton system using pencil beam scanning

Author

PEREZ MORENO, J.M., primary, Vera Sánchez, J.A., additional, Cerrón Campoo, F., additional, Castro Novais, J., additional, Canals de las Casas, E., additional, Lorenzo Villanueva, I., additional, Sallabanda Hajro, M., additional, Montero Feijoo, M., additional, de Pablo González, A., additional, Matute Martín, R., additional, Miralbell, R., additional, and Mazal, A., additional

Published
2023
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20. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Author

Sherratt, K., Gruson, H., Grah, R., Johnson, H., Niehus, R., Prasse, B., Sandmann, F., Deuschel, J., Wolffram, D., Abbott, S., Ullrich, A., Gibson, G., Ray, E. L., Reich, N. G., Sheldon, D., Wang, Y., Wattanachit, N., Wang, L., Trnka, J., Obozinski, G., Sun, T., Thanou, D., Pottier, L., Krymova, E., Meinke, J. H., Barbarossa, M. V., Leithäuser, N., Mohring, J., Schneider, J., Wlazlo, J., Fuhrmann, J., Lange, B., Rodiah, I., Baccam, P., Gurung, H., Stage, S., Suchoski, B., Budzinski, J., Walraven, R., Villanueva, I., Tucek, V., Smíd, M., Zajícek, M., Pérez Alvarez, C., Reina, B., Bosse, N. I., Meakin, S., Castro, L., Fairchild, G., Michaud, I., Osthus, D., Alaimo Di Loro, P., Maruotti, A., Eclerová, V., Kraus, A., Kraus, D., Pribylova, L., Dimitris, B., Li, M. L., Saksham, S., Dehning, J., Mohr, S., Priesemann, V., Redlarski, G., Bejar, B., Ardenghi, G., Parolini, N., Ziarelli, G., Bock, Wolfgang, Heyder, S., Hotz, T., E. Singh, D., Guzman-Merino, M., Aznarte, J. L., Moriña, D., Alonso, S., Alvarez, E., López, D., Prats, C., Burgard, J. P., Rodloff, A., Zimmermann, T., Kuhlmann, A., Zibert, J., Pennoni, F., Divino, F., Català, M., Lovison, G., Giudici, P., Tarantino, B., Bartolucci, F., Jona Lasinio, G., Mingione, M., Farcomeni, A., Srivastava, A., Montero-Manso, P., Adiga, A., Hurt, B., Lewis, B., Marathe, M., Porebski, P., Venkatramanan, S., Bartczuk, R., Dreger, F., Gambin, A., Gogolewski, K., Gruziel-S?omka, M., Krupa, B., Moszynski, A., Niedzielewski, K., Nowosielski, J., Radwan, M., Rakowski, F., Semeniuk, M., Szczurek, E., Zieli?ski, J., Kisielewski, J., Pabjan, B., Kheifetz, Y., Kirsten, H., Scholz, M., Biecek, P., Bodych, M., Filinski, M., Idzikowski, R., Krueger, T., Ozanski, T., Bracher, J., Funk, S., Sherratt, K., Gruson, H., Grah, R., Johnson, H., Niehus, R., Prasse, B., Sandmann, F., Deuschel, J., Wolffram, D., Abbott, S., Ullrich, A., Gibson, G., Ray, E. L., Reich, N. G., Sheldon, D., Wang, Y., Wattanachit, N., Wang, L., Trnka, J., Obozinski, G., Sun, T., Thanou, D., Pottier, L., Krymova, E., Meinke, J. H., Barbarossa, M. V., Leithäuser, N., Mohring, J., Schneider, J., Wlazlo, J., Fuhrmann, J., Lange, B., Rodiah, I., Baccam, P., Gurung, H., Stage, S., Suchoski, B., Budzinski, J., Walraven, R., Villanueva, I., Tucek, V., Smíd, M., Zajícek, M., Pérez Alvarez, C., Reina, B., Bosse, N. I., Meakin, S., Castro, L., Fairchild, G., Michaud, I., Osthus, D., Alaimo Di Loro, P., Maruotti, A., Eclerová, V., Kraus, A., Kraus, D., Pribylova, L., Dimitris, B., Li, M. L., Saksham, S., Dehning, J., Mohr, S., Priesemann, V., Redlarski, G., Bejar, B., Ardenghi, G., Parolini, N., Ziarelli, G., Bock, Wolfgang, Heyder, S., Hotz, T., E. Singh, D., Guzman-Merino, M., Aznarte, J. L., Moriña, D., Alonso, S., Alvarez, E., López, D., Prats, C., Burgard, J. P., Rodloff, A., Zimmermann, T., Kuhlmann, A., Zibert, J., Pennoni, F., Divino, F., Català, M., Lovison, G., Giudici, P., Tarantino, B., Bartolucci, F., Jona Lasinio, G., Mingione, M., Farcomeni, A., Srivastava, A., Montero-Manso, P., Adiga, A., Hurt, B., Lewis, B., Marathe, M., Porebski, P., Venkatramanan, S., Bartczuk, R., Dreger, F., Gambin, A., Gogolewski, K., Gruziel-S?omka, M., Krupa, B., Moszynski, A., Niedzielewski, K., Nowosielski, J., Radwan, M., Rakowski, F., Semeniuk, M., Szczurek, E., Zieli?ski, J., Kisielewski, J., Pabjan, B., Kheifetz, Y., Kirsten, H., Scholz, M., Biecek, P., Bodych, M., Filinski, M., Idzikowski, R., Krueger, T., Ozanski, T., Bracher, J., and Funk, S.

Abstract

Methods: We used open-source tools to develop a public European COVID-19 Forecast Hub. We invited groups globally to contribute weekly forecasts for COVID-19 cases and deaths reported by a standardised source for 32 countries over the next 1–4 weeks. Teams submitted forecasts from March 2021 using standardised quantiles of the predictive distribution. Each week we created an ensemble forecast, where each predictive quantile was calculated as the equally-weighted average (initially the mean and then from 26th July the median) of all individual models’ predictive quantiles. We measured the performance of each model using the relative Weighted Interval Score (WIS), comparing models’ forecast accuracy relative to all other models. We retrospectively explored alternative methods for ensemble forecasts, including weighted averages based on models’ past predictive performance. Results: Over 52 weeks, we collected forecasts from 48 unique models. We evaluated 29 models’ forecast scores in comparison to the ensemble model. We found a weekly ensemble had a consistently strong performance across countries over time. Across all horizons and locations, the ensemble performed better on relative WIS than 83% of participating models’ forecasts of incident cases (with a total N=886 predictions from 23 unique models), and 91% of participating models’ forecasts of deaths (N=763 predictions from 20 models). Across a 1–4 week time horizon, ensemble performance declined with longer forecast periods when forecasting cases, but remained stable over 4 weeks for incident death forecasts. In every forecast across 32 countries, the ensemble outperformed most contributing models when forecasting either cases or deaths, frequently outperforming all of its individual component models. Among several choices of ensemble methods we found that the most influential and best choice was to use a median average of models instead of using the mean, regardless of methods of weighting component forecast mod

Published
2023
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21. Effect of nonlinear exercise program through mHealth System (ATOPE+) on isokinetic strenght in patients with breast cancer undergoing medical treatments

Author

Lopez-Garzon, M, Alberti, P, Postigo-Martin, P, Gonzàlez-Santos, A, Gilgutiérrez, R, Salinas-Asensio, M, Ramirez-Prada, K, Puertas-Marti, N, Galiano-Castilo, N, Cantarereo-Villanueva, I, GilGutiérrez, R, Salinas-Asensio, MM, Puertas-Martin. M, Lopez-Garzon, M, Alberti, P, Postigo-Martin, P, Gonzàlez-Santos, A, Gilgutiérrez, R, Salinas-Asensio, M, Ramirez-Prada, K, Puertas-Marti, N, Galiano-Castilo, N, Cantarereo-Villanueva, I, GilGutiérrez, R, Salinas-Asensio, MM, and Puertas-Martin. M

Published
2023

22. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Author

Sherratt, K, Gruson, H, Grah, R, Johnson, H, Niehus, R, Prasse, B, Sandmann, F, Deuschel, J, Wolffram, D, Abbott, S, Ullrich, A, Gibson, G, L Ray, E, G Reich, N, Sheldon, D, Wang, Y, Wattanachit, N, Wang, L, Trnka, J, Obozinski, G, Sun, T, Thanou, D, Pottier, L, Krymova, E, H Meinke, J, Vittoria Barbarossa, M, Leithäuser, N, Mohring, J, Schneider, J, Włazło, J, Fuhrmann, J, Lange, B, Rodiah, I, Baccam, P, Gurung, H, Stage, S, Suchoski, B, Budzinski, J, Walraven, R, Villanueva, I, Tucek, V, Smid, M, Zajíček, M, Pérez Álvarez, C, Reina, B, I Bosse, N, R Meakin, S, Castro, L, Fairchild, G, Michaud, I, Osthus, D, Alaimo Di Loro, P, Maruotti, A, Eclerová, V, Kraus, A, Kraus, D, Pribylova, L, Dimitris, B, Lingzhi Li, M, Saksham, S, Dehning, J, Mohr, S, Priesemann, V, Redlarski, G, Bejar, B, Ardenghi, G, Parolini, N, Ziarelli, G, Bock, W, Heyder, S, Hotz, T, E Singh, D, Guzman-Merino, M, L Aznarte, J, Moriña, D, Alonso, S, Álvarez, E, López, D, Prats, C, Pablo Burgard, J, Rodloff, A, Zimmermann, T, Kuhlmann, A, Zibert, J, Pennoni, F, Divino, F, Català, M, Lovison, G, Giudici, P, Tarantino, B, Bartolucci, F, Jona Lasinio, G, Mingione, M, Farcomeni, A, Srivastava, A, Montero-Manso, P, Adiga, A, Hurt, B, Lewis, B, Marathe, M, Porebski, P, Venkatramanan, S, P Bartczuk, R, Dreger, F, Gambin, A, Gogolewski, K, Gruziel-Słomka, M, Krupa, B, Moszyński, A, Niedzielewski, K, Nowosielski, J, Radwan, M, Rakowski, F, Semeniuk, M, Szczurek, E, Zieliński, J, Kisielewski, J, Pabjan, B, Kirsten, H, Kheifetz, Y, Scholz, M, Biecek, P, Bodych, M, Filinski, M, Idzikowski, R, Krueger, T, Ozanski, T, Bracher, J, Funk, S, Katharine Sherratt, Hugo Gruson, Rok Grah, Helen Johnson, Rene Niehus, Bastian Prasse, Frank Sandmann, Jannik Deuschel, Daniel Wolffram, Sam Abbott, Alexander Ullrich, Graham Gibson, Evan L Ray, Nicholas G Reich, Daniel Sheldon, Yijin Wang, Nutcha Wattanachit, Lijing Wang, Jan Trnka, Guillaume Obozinski, Tao Sun, Dorina Thanou, Loic Pottier, Ekaterina Krymova, Jan H Meinke, Maria Vittoria Barbarossa, Neele Leithäuser, Jan Mohring, Johanna Schneider, Jaroslaw Włazło, Jan Fuhrmann, Berit Lange, Isti Rodiah, Prasith Baccam, Heidi Gurung, Steven Stage, Bradley Suchoski, Jozef Budzinski, Robert Walraven, Inmaculada Villanueva, Vit Tucek, Martin Smid, Milan Zajíček, Cesar Pérez Álvarez, Borja Reina, Nikos I Bosse, Sophie R Meakin, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Pierfrancesco Alaimo Di Loro, Antonello Maruotti, Veronika Eclerová, Andrea Kraus, David Kraus, Lenka Pribylova, Bertsimas Dimitris, Michael Lingzhi Li, Soni Saksham, Jonas Dehning, Sebastian Mohr, Viola Priesemann, Grzegorz Redlarski, Benjamin Bejar, Giovanni Ardenghi, Nicola Parolini, Giovanni Ziarelli, Wolfgang Bock, Stefan Heyder, Thomas Hotz, David E Singh, Miguel Guzman-Merino, Jose L Aznarte, David Moriña, Sergio Alonso, Enric Álvarez, Daniel López, Clara Prats, Jan Pablo Burgard, Arne Rodloff, Tom Zimmermann, Alexander Kuhlmann, Janez Zibert, Fulvia Pennoni, Fabio Divino, Marti Català, Gianfranco Lovison, Paolo Giudici, Barbara Tarantino, Francesco Bartolucci, Giovanna Jona Lasinio, Marco Mingione, Alessio Farcomeni, Ajitesh Srivastava, Pablo Montero-Manso, Aniruddha Adiga, Benjamin Hurt, Bryan Lewis, Madhav Marathe, Przemyslaw Porebski, Srinivasan Venkatramanan, Rafal P Bartczuk, Filip Dreger, Anna Gambin, Krzysztof Gogolewski, Magdalena Gruziel-Słomka, Bartosz Krupa, Antoni Moszyński, Karol Niedzielewski, Jedrzej Nowosielski, Maciej Radwan, Franciszek Rakowski, Marcin Semeniuk, Ewa Szczurek, Jakub Zieliński, Jan Kisielewski, Barbara Pabjan, Holger Kirsten, Yuri Kheifetz, Markus Scholz, Przemyslaw Biecek, Marcin Bodych, Maciej Filinski, Radoslaw Idzikowski, Tyll Krueger, Tomasz Ozanski, Johannes Bracher, Sebastian Funk, Sherratt, K, Gruson, H, Grah, R, Johnson, H, Niehus, R, Prasse, B, Sandmann, F, Deuschel, J, Wolffram, D, Abbott, S, Ullrich, A, Gibson, G, L Ray, E, G Reich, N, Sheldon, D, Wang, Y, Wattanachit, N, Wang, L, Trnka, J, Obozinski, G, Sun, T, Thanou, D, Pottier, L, Krymova, E, H Meinke, J, Vittoria Barbarossa, M, Leithäuser, N, Mohring, J, Schneider, J, Włazło, J, Fuhrmann, J, Lange, B, Rodiah, I, Baccam, P, Gurung, H, Stage, S, Suchoski, B, Budzinski, J, Walraven, R, Villanueva, I, Tucek, V, Smid, M, Zajíček, M, Pérez Álvarez, C, Reina, B, I Bosse, N, R Meakin, S, Castro, L, Fairchild, G, Michaud, I, Osthus, D, Alaimo Di Loro, P, Maruotti, A, Eclerová, V, Kraus, A, Kraus, D, Pribylova, L, Dimitris, B, Lingzhi Li, M, Saksham, S, Dehning, J, Mohr, S, Priesemann, V, Redlarski, G, Bejar, B, Ardenghi, G, Parolini, N, Ziarelli, G, Bock, W, Heyder, S, Hotz, T, E Singh, D, Guzman-Merino, M, L Aznarte, J, Moriña, D, Alonso, S, Álvarez, E, López, D, Prats, C, Pablo Burgard, J, Rodloff, A, Zimmermann, T, Kuhlmann, A, Zibert, J, Pennoni, F, Divino, F, Català, M, Lovison, G, Giudici, P, Tarantino, B, Bartolucci, F, Jona Lasinio, G, Mingione, M, Farcomeni, A, Srivastava, A, Montero-Manso, P, Adiga, A, Hurt, B, Lewis, B, Marathe, M, Porebski, P, Venkatramanan, S, P Bartczuk, R, Dreger, F, Gambin, A, Gogolewski, K, Gruziel-Słomka, M, Krupa, B, Moszyński, A, Niedzielewski, K, Nowosielski, J, Radwan, M, Rakowski, F, Semeniuk, M, Szczurek, E, Zieliński, J, Kisielewski, J, Pabjan, B, Kirsten, H, Kheifetz, Y, Scholz, M, Biecek, P, Bodych, M, Filinski, M, Idzikowski, R, Krueger, T, Ozanski, T, Bracher, J, Funk, S, Katharine Sherratt, Hugo Gruson, Rok Grah, Helen Johnson, Rene Niehus, Bastian Prasse, Frank Sandmann, Jannik Deuschel, Daniel Wolffram, Sam Abbott, Alexander Ullrich, Graham Gibson, Evan L Ray, Nicholas G Reich, Daniel Sheldon, Yijin Wang, Nutcha Wattanachit, Lijing Wang, Jan Trnka, Guillaume Obozinski, Tao Sun, Dorina Thanou, Loic Pottier, Ekaterina Krymova, Jan H Meinke, Maria Vittoria Barbarossa, Neele Leithäuser, Jan Mohring, Johanna Schneider, Jaroslaw Włazło, Jan Fuhrmann, Berit Lange, Isti Rodiah, Prasith Baccam, Heidi Gurung, Steven Stage, Bradley Suchoski, Jozef Budzinski, Robert Walraven, Inmaculada Villanueva, Vit Tucek, Martin Smid, Milan Zajíček, Cesar Pérez Álvarez, Borja Reina, Nikos I Bosse, Sophie R Meakin, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Pierfrancesco Alaimo Di Loro, Antonello Maruotti, Veronika Eclerová, Andrea Kraus, David Kraus, Lenka Pribylova, Bertsimas Dimitris, Michael Lingzhi Li, Soni Saksham, Jonas Dehning, Sebastian Mohr, Viola Priesemann, Grzegorz Redlarski, Benjamin Bejar, Giovanni Ardenghi, Nicola Parolini, Giovanni Ziarelli, Wolfgang Bock, Stefan Heyder, Thomas Hotz, David E Singh, Miguel Guzman-Merino, Jose L Aznarte, David Moriña, Sergio Alonso, Enric Álvarez, Daniel López, Clara Prats, Jan Pablo Burgard, Arne Rodloff, Tom Zimmermann, Alexander Kuhlmann, Janez Zibert, Fulvia Pennoni, Fabio Divino, Marti Català, Gianfranco Lovison, Paolo Giudici, Barbara Tarantino, Francesco Bartolucci, Giovanna Jona Lasinio, Marco Mingione, Alessio Farcomeni, Ajitesh Srivastava, Pablo Montero-Manso, Aniruddha Adiga, Benjamin Hurt, Bryan Lewis, Madhav Marathe, Przemyslaw Porebski, Srinivasan Venkatramanan, Rafal P Bartczuk, Filip Dreger, Anna Gambin, Krzysztof Gogolewski, Magdalena Gruziel-Słomka, Bartosz Krupa, Antoni Moszyński, Karol Niedzielewski, Jedrzej Nowosielski, Maciej Radwan, Franciszek Rakowski, Marcin Semeniuk, Ewa Szczurek, Jakub Zieliński, Jan Kisielewski, Barbara Pabjan, Holger Kirsten, Yuri Kheifetz, Markus Scholz, Przemyslaw Biecek, Marcin Bodych, Maciej Filinski, Radoslaw Idzikowski, Tyll Krueger, Tomasz Ozanski, Johannes Bracher, and Sebastian Funk

Abstract

Background: Short-term forecasts of infectious disease contribute to situational awareness and capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise forecasts’ predictive performance by combining independent models into an ensemble. Here we report the performance of ensemble predictions of COVID-19 cases and deaths across Europe from March 2021 to March 2022. Methods: We created the European COVID-19 Forecast Hub, an online open-access platform where modellers upload weekly forecasts for 32 countries with results publicly visualised and evaluated. We created a weekly ensemble forecast from the equally-weighted average across individual models’ predictive quantiles. We measured forecast accuracy using a baseline and relative Weighted Interval Score (rWIS). We retrospectively explored ensemble methods, including weighting by past performance. Results: We collected weekly forecasts from 48 models, of which we evaluated 29 models alongside the ensemble model. The ensemble had a consistently strong performance across countries over time, performing better on rWIS than 91% of forecasts for deaths (N=763 predictions from 20 models), and 83% forecasts for cases (N=886 predictions from 23 models). Performance remained stable over a 4-week horizon for death forecasts but declined with longer horizons for cases. Among ensemble methods, the most influential choice came from using a median average instead of the mean, regardless of weighting component models. Conclusions: Our results support combining independent models into an ensemble forecast to improve epidemiological predictions, and suggest that median averages yield better performance than methods based on means. We highlight that forecast consumers should place more weight on incident death forecasts than case forecasts at horizons greater than two weeks. Funding: European Commission, Ministerio de Ciencia, Innovación y Universidades, FEDER; Ag

Published
2023

25. Relationships between craniocervical posture and pain-related disability in patients with cervico-craniofacial pain

Author

López-de-Uralde-Villanueva I, Beltran-Alacreu H, Paris-Alemany A, Angulo-Díaz-Parreño S, and La Touche R

Subjects
Medicine (General), R5-920
Abstract

Ibai López-de-Uralde-Villanueva,1–4 Hector Beltran-Alacreu,1–3 Alba Paris-Alemany,1–4 Santiago Angulo-Díaz-Parreño,2,3,5 Roy La Touche1–4 1Department of Physiotherapy, Faculty of Health Science, 2Research Group on Movement and Behavioral Science and Study of Pain, The Center for Advanced Studies University La Salle, Universidad Autónoma de Madrid, Aravaca, Madrid, Spain; 3Institute of Neuroscience and Craniofacial Pain (INDCRAN), Madrid, Spain; 4Hospital La Paz Institute for Health Research, IdiPAZ, Madrid, Spain; 5Faculty of Medicine, Universidad San Pablo CEU, Madrid, Spain Objectives: This cross-sectional correlation study explored the relationships between craniocervical posture and pain-related disability in patients with chronic cervico-craniofacial pain (CCFP). Moreover, we investigated the test–retest intrarater reliability of two craniocervical posture measurements: head posture (HP) and the sternomental distance (SMD). Methods: Fifty-three asymptomatic subjects and 60 CCFP patients were recruited. One rater measured HP and the SMD using a cervical range of motion device and a digital caliper, respectively. The Spanish versions of the neck disability index and the craniofacial pain and disability inventory were used to assess pain-related disability (neck disability and craniofacial disability, respectively). Results: We found no statistically significant correlations between craniocervical posture and pain-related disability variables (HP and neck disability [r=0.105; P>0.05]; HP and craniofacial disability [r=0.132; P>0.05]; SMD and neck disability [r=0.126; P>0.05]; SMD and craniofacial disability [r=0.195; P>0.05]). A moderate positive correlation was observed between HP and SMD for both groups (asymptomatic subjects, r=0.447; CCFP patients, r=0.52). Neck disability was strongly positively correlated with craniofacial disability (r=0.79; P>0.001). The test–retest intrarater reliability of the HP measurement was high for asymptomatic subjects and CCFP patients (intraclass correlation coefficients =0.93 and 0.81, respectively) and for SMD (intraclass correlation coefficient range between 0.76 and 0.99); the test–retest intrarater reliability remained high when evaluated 9 days later. The HP standard error of measurement range was 0.54–0.75 cm, and the minimal detectable change was 1.27–1.74 cm. The SMD standard error of measurement was 2.75–6.24 mm, and the minimal detectable change was 6.42–14.55 mm. Independent t-tests showed statistically significant differences between the asymptomatic individuals and CCFP patients for measures of craniocervical posture, but these differences were very small (mean difference =1.44 cm for HP; 6.24 mm for SMD). The effect sizes reached by these values were estimated to be small for SMD (d=0.38) and medium for HP (d=0.76). Conclusion: The results showed no statistically significant correlations between craniocervical posture and variables of pain-related disability, but a strong correlation between the two variables of disability was found. Our findings suggest that small differences between CCFP patients and asymptomatic subjects exist with respect to the two measurements used to assess craniocervical posture (HP and SMD), and these measures demonstrated high test–retest intrarater reliability for both CCFP patients and asymptomatic subjects. Keywords: measurement, neck pain, rehabilitation, reliability, reproducibility of results, temporomandibular disorders

Published
2015

27. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Author

Sherratt, K., primary, Gruson, H., additional, Grah, R., additional, Johnson, H., additional, Niehus, R., additional, Prasse, B., additional, Sandman, F., additional, Deuschel, J., additional, Wolffram, D., additional, Abbott, S., additional, Ullrich, A., additional, Gibson, G., additional, Ray, EL., additional, Reich, NG., additional, Sheldon, D., additional, Wang, Y., additional, Wattanachit, N., additional, Wang, L., additional, Trnka, J., additional, Obozinski, G., additional, Sun, T., additional, Thanou, D., additional, Pottier, L., additional, Krymova, E., additional, Barbarossa, MV., additional, Leithäuser, N., additional, Mohring, J., additional, Schneider, J., additional, Wlazlo, J., additional, Fuhrmann, J., additional, Lange, B., additional, Rodiah, I., additional, Baccam, P., additional, Gurung, H., additional, Stage, S., additional, Suchoski, B., additional, Budzinski, J., additional, Walraven, R., additional, Villanueva, I., additional, Tucek, V., additional, Šmíd, M., additional, Zajícek, M., additional, Pérez Álvarez, C., additional, Reina, B., additional, Bosse, NI., additional, Meakin, S., additional, Di Loro, P. Alaimo, additional, Maruotti, A., additional, Eclerová, V., additional, Kraus, A., additional, Kraus, D., additional, Pribylova, L., additional, Dimitris, B., additional, Li, ML., additional, Saksham, S., additional, Dehning, J., additional, Mohr, S., additional, Priesemann, V., additional, Redlarski, G., additional, Bejar, B., additional, Ardenghi, G., additional, Parolini, N., additional, Ziarelli, G., additional, Bock, W., additional, Heyder, S., additional, Hotz, T., additional, E. Singh, D., additional, Guzman-Merino, M., additional, Aznarte, JL., additional, Moriña, D., additional, Alonso, S., additional, Álvarez, E., additional, López, D., additional, Prats, C., additional, Burgard, JP., additional, Rodloff, A., additional, Zimmermann, T., additional, Kuhlmann, A., additional, Zibert, J., additional, Pennoni, F., additional, Divino, F., additional, Català, M., additional, Lovison, G., additional, Giudici, P., additional, Tarantino, B., additional, Bartolucci, F., additional, Jona Lasinio, G., additional, Mingione, M., additional, Farcomeni, A., additional, Srivastava, A., additional, Montero-Manso, P., additional, Adiga, A., additional, Hurt, B., additional, Lewis, B., additional, Marathe, M., additional, Porebski, P., additional, Venkatramanan, S., additional, Bartczuk, R., additional, Dreger, F., additional, Gambin, A., additional, Gogolewski, K., additional, Gruziel-Slomka, M., additional, Krupa, B., additional, Moszynski, A., additional, Niedzielewski, K., additional, Nowosielski, J., additional, Radwan, M., additional, Rakowski, F., additional, Semeniuk, M., additional, Szczurek, E., additional, Zielinski, J., additional, Kisielewski, J., additional, Pabjan, B., additional, Holger, K., additional, Kheifetz, Y., additional, Scholz, M., additional, Bodych, M., additional, Filinski, M., additional, Idzikowski, R., additional, Krueger, T., additional, Ozanski, T., additional, Bracher, J., additional, and Funk, S., additional

Published
2022
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28. Country-report pattern corrections of new cases allow accurate two-week predictions of Covid19 evolution with the Gompertz model

Author

Villanueva, I., primary, Conesa, D., additional, Català, M., additional, Cano, C. López, additional, Perramon, A., additional, Molinuevo, D., additional, Lopez-Codina, D., additional, Alonso, S., additional, Cardona, P. J., additional, Montañola-Sales, C., additional, Prats, C., additional, and Alvarez-Lacalle, E., additional

Published
2022
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33. Lluna de migdia

Author

Muriel Villanueva i Perarnau and Muriel Villanueva i Perarnau

Abstract

Una novel·la preciosa sobre fer-se gran, el primer amor i la identitat de gènere. Els pares de la Luar han marxat a Nova York durant les vacances de Setmana Santa i l'han deixat a càrrec del pis, la germana petita, el gos i un tiet que es pensa que qui es cuida de tot és ell. S'hi suma que té un turmell lesionat... i allò seu. Sembla que seran uns dies complicats. Al Marc, tot això ni li va ni li ve, perquè la Luar i ell ja no són millors amics. Ja fa anys que no es parlen, i no cal que tothom els intenti reconciliar..., encara que ell sí que voldria que la Luar el tornés a mirar com abans.

Published
2024

34. Thanks to Reviewers!

Author

Adams, R, Bahnson, M, Bhaduri, S, Adams, T, Bairaktarova, D, Bielefeldt, A, Aguirre-Munoz, Z, Balakrishnan, B, Blosser, EG, Ahn, B, Beagon, U, Bodnar, C, Aleong, R, Becker, K, Borgford-Parnell, J, Amelink, C, Beddoes, K, Maura, B, Anderson, R, Bego, C, Bowe, B, Andrews, CJ, Beigpourian, B, Bowen, B, Angel, J, Bekki, J, Boyd, J, Fonseca, MA, Bennett, D, Bradburn, I, Kranov, AA, Berdanier, C, Brady, C, Bae, CL, Bernhard, J, Brawner, C, Brose, A, Case, J, Cropley, D, Brown, F, Cassady, R, Cross, K, Brown, P, Celik, S, Cunningham, P, Ben, C, Cutler, S, Brown, S, Chance, SM, Dabbagh, N, Brozina, C, Chen, H, Dallal, A, Brunhaver, S, Chen, O, Daly, S, Bryant, A, Cheville, RA, Daniel, S, Bucciarelli, L, Chiu, J, Danowitz, A, Burkholder, E, Choe, NH, Darolia, R, Burks, G, Clark, R, Davis, K, Burt, B, Clevenger, C, Davis, S, Canney, N, Cole, J, de Jong, T, Cao, Y, Coley, B, De Vries, C, Caratozzolo, P, Cooper, L, Delaine, D, Carballo, R, Cooper, M, DeMonbrun, R, Cardella, M, Craig, T, Denton, M, Di Stefano, M, Erdman, AM, Gilmartin, S, DiBiasio, D, Eris, O, Gladstone, J, Diefes-Dux, H, Evangelou, D, Glancy, A, Dika, S, Ewen, B, Godwin, A, Direito, I, Faber, C, Goldsmith, R, Dohn, N, Falconer, J, Grigg, SJ, Dolansky, M, Fantz, T, Grohs, J, Faulkner, B, Doom, D, Felder, R, Gummer, E, Douglas, E, Ferris, T, Guzey, S, Douglas, KA, Figueiredo, J, Hadgraft, R, Dounas-Frazer, D, Fiorella, L, Hammack, R, Dringenberg, E, Flores, L, Han, K, Duffy, G, Fong, C, Harding, T, Easley, D, Fowler, RR, Harper, K, Eccles, J, Friedrichsen, D, Hartmann, B, Edstrom, K, Ge, J, Hattingh, T, Ellestad, R, Gelles, L, Henderson, R, Henderson, TS, Immekus, J, Kamphorst, J, Herman, G, Inda, M, Karatas, F, Hess, J, Itabashi-Campbell, R, Kartal, O, Hieb, J, Jackson, A, Karwat, D, Higbee, S, Jankowski, N, Katz, A, Hilton, E, Javernick-Will, A, Keipi, T, Hira, A, Jensen, KJ, Kim, D, Hirshfield, L, Smith, J, Kirn, A, Knaphus-Soran, E, Holly, J, Jesiek, B, Knight, D, Horng, S-M, Johnson, A, Knott, T, Huang-Saad, A, Johnson, B, Kohl, P, Huerta, M, Johri, A, Kohtala, C, Huff, J, Jones, B, Komives, S, Hughes, B, Jones, L, Korsunskiy, E, Hughes, R, Jones, T, Kotys-Schwartz, D, Hunsu, N, Kaminski, J, Kramer, J, Hunter, C, Kampe, J-C, Inkelas, KK, Lamm, M, Lonngren, J, McCall, C, Lande, M, Lottero-Perdue, PS, McCave, E, Lappalainen, P, Aguilar, JFL, McCray, E, Lawanto, O, Lucena, J, McGee, E, Lawson, J, Luk, LYY, McGough, C, Leath, S, Lutz, B, McGowan, V, Lee, D, Ma, Y, McNair, LD, Lee, W, Madon, T, McNaughtan, J, Liberatore, M, Mamaril, N, McNeill, N, Lichtenstein, G, Mangiante, E, Mejia, J, Lima, M, Martin, B, Diaz, NM, Lima, RM, Martin, K, Menekse, M, Lin, J, Lippard, C, Mones, AM, Mesquita, DIDA, Michell, K, Litzler, E, Matthews, M, Miller, S, Lo, CK, Matusovich, H, Minichiello, A, London, J, Maynard, N, Miskioglu, EE, Longwell-Grice, R, Mazzurco, A, Yusof, KM, Mohedas, I, Nghia, TLH, Pearson, A, Monat, J, Norton, P, Pearson, N, Monteiro, F, Novoselich, BJ, Pembridge, J, Moote, J, Noy, S, Perez-Felkner, L, Mora, M, O'Hara, R, Perkins, H, O'Moore, L, Peters-Burton, E, Morgan, D, Ohland, M, Pfirman, A, Morgan, T, Okai, B, Pinto, C, Morton, T, Olds, B, Pitterson, N, Mosyjowski, E, Orr, M, Polmear, M, Murphy, T, Ortega-Alvarez, JD, Prince, T, Murray, J, Oseguera, L, Purzer, S, Murzi, H, Owen, C, Quan, GM, Nagy, G, Ozkan, DS, Quillin, K, Natarajathinam, M, Panther, G, Rayess, N, Nelson, M, Patrick, A, Reed, T, Newberry, B, Paul, K, Reeping, D, Newstetter, W, Pawley, A, Reese, M, Reid, K, Rulifson, G, Shivy, V, Renn, K, Rynearson, AM, Simpson, Z, Ricco, G, Sanchez-Pena, ML, Sitomer, A, Richards, L, Saunders-Smits, G, Siverling, E, Rios, L, Sax, L, Slaton, A, Ro, HK, Schimpf, C, Sleezer, R, Roberts, D, Rodgers, K, Schippers, M, Smith-On, C, Rodriguez, S, Schnittka, C, Schunn, C, Rogers, C, Seah, LH, Rohde, J, Rohrer, D, Secules, S, Smith, K, Smith, N, Romine, W, Seifert, C, Sochacka, N, Ross, L, Sessa, V, Stearns, E, Ross, M, Sharp, H, Steif, M, Rottmann, C, Sharp, J, Stephan, P, Rucks, L, Shaw, C, Stevens, R, Streveler, R, Tolbert, D, van Der Marel, F, Strobel, J, Toraman, S, van Hattum, N, Stump, G, Tougaw, D, Verdin, D, Su, X, Trautvetter, LC, Verleger, M, Sundararaja, N, Trenshaw, KF, Vieira, C, Trevelyan, J, Svihla, V, Troussas, C, Villanueva, I, Swan, C, Tsai, J, Vinck, D, Virguez, L, Swanson, R, Tsugawa, MA, Vitasari, P, Sweeny, K, Tuononen, T, Vossoughi, S, Swenson, J, Turner, J, Wallin, P, Talley, K, Turner, S, Tan, L, Tyson, W, Watted, A, Tang, Y, Utley, J, Webber, K, Tank, K, Vasquez, RV, Weintrop, D, Thomas, K, Valdivia, A, Weiss, E, Thompson, JD, Valentine, A, West, R, Tierney, G, Van den Bogaard, M, Wiles, D, Wilson-Lopez, AA, Xinrui, X, Zastavker, Y, Wilson, D, Xu, YJ, Zhang, G, Wolmarans, N, Yang, Y, Zhu, J, Wong, R, Yi, S, Zoltowski, CB, Woollacott, L, Yoon, SY, Adams, R, Bahnson, M, Bhaduri, S, Adams, T, Bairaktarova, D, Bielefeldt, A, Aguirre-Munoz, Z, Balakrishnan, B, Blosser, EG, Ahn, B, Beagon, U, Bodnar, C, Aleong, R, Becker, K, Borgford-Parnell, J, Amelink, C, Beddoes, K, Maura, B, Anderson, R, Bego, C, Bowe, B, Andrews, CJ, Beigpourian, B, Bowen, B, Angel, J, Bekki, J, Boyd, J, Fonseca, MA, Bennett, D, Bradburn, I, Kranov, AA, Berdanier, C, Brady, C, Bae, CL, Bernhard, J, Brawner, C, Brose, A, Case, J, Cropley, D, Brown, F, Cassady, R, Cross, K, Brown, P, Celik, S, Cunningham, P, Ben, C, Cutler, S, Brown, S, Chance, SM, Dabbagh, N, Brozina, C, Chen, H, Dallal, A, Brunhaver, S, Chen, O, Daly, S, Bryant, A, Cheville, RA, Daniel, S, Bucciarelli, L, Chiu, J, Danowitz, A, Burkholder, E, Choe, NH, Darolia, R, Burks, G, Clark, R, Davis, K, Burt, B, Clevenger, C, Davis, S, Canney, N, Cole, J, de Jong, T, Cao, Y, Coley, B, De Vries, C, Caratozzolo, P, Cooper, L, Delaine, D, Carballo, R, Cooper, M, DeMonbrun, R, Cardella, M, Craig, T, Denton, M, Di Stefano, M, Erdman, AM, Gilmartin, S, DiBiasio, D, Eris, O, Gladstone, J, Diefes-Dux, H, Evangelou, D, Glancy, A, Dika, S, Ewen, B, Godwin, A, Direito, I, Faber, C, Goldsmith, R, Dohn, N, Falconer, J, Grigg, SJ, Dolansky, M, Fantz, T, Grohs, J, Faulkner, B, Doom, D, Felder, R, Gummer, E, Douglas, E, Ferris, T, Guzey, S, Douglas, KA, Figueiredo, J, Hadgraft, R, Dounas-Frazer, D, Fiorella, L, Hammack, R, Dringenberg, E, Flores, L, Han, K, Duffy, G, Fong, C, Harding, T, Easley, D, Fowler, RR, Harper, K, Eccles, J, Friedrichsen, D, Hartmann, B, Edstrom, K, Ge, J, Hattingh, T, Ellestad, R, Gelles, L, Henderson, R, Henderson, TS, Immekus, J, Kamphorst, J, Herman, G, Inda, M, Karatas, F, Hess, J, Itabashi-Campbell, R, Kartal, O, Hieb, J, Jackson, A, Karwat, D, Higbee, S, Jankowski, N, Katz, A, Hilton, E, Javernick-Will, A, Keipi, T, Hira, A, Jensen, KJ, Kim, D, Hirshfield, L, Smith, J, Kirn, A, Knaphus-Soran, E, Holly, J, Jesiek, B, Knight, D, Horng, S-M, Johnson, A, Knott, T, Huang-Saad, A, Johnson, B, Kohl, P, Huerta, M, Johri, A, Kohtala, C, Huff, J, Jones, B, Komives, S, Hughes, B, Jones, L, Korsunskiy, E, Hughes, R, Jones, T, Kotys-Schwartz, D, Hunsu, N, Kaminski, J, Kramer, J, Hunter, C, Kampe, J-C, Inkelas, KK, Lamm, M, Lonngren, J, McCall, C, Lande, M, Lottero-Perdue, PS, McCave, E, Lappalainen, P, Aguilar, JFL, McCray, E, Lawanto, O, Lucena, J, McGee, E, Lawson, J, Luk, LYY, McGough, C, Leath, S, Lutz, B, McGowan, V, Lee, D, Ma, Y, McNair, LD, Lee, W, Madon, T, McNaughtan, J, Liberatore, M, Mamaril, N, McNeill, N, Lichtenstein, G, Mangiante, E, Mejia, J, Lima, M, Martin, B, Diaz, NM, Lima, RM, Martin, K, Menekse, M, Lin, J, Lippard, C, Mones, AM, Mesquita, DIDA, Michell, K, Litzler, E, Matthews, M, Miller, S, Lo, CK, Matusovich, H, Minichiello, A, London, J, Maynard, N, Miskioglu, EE, Longwell-Grice, R, Mazzurco, A, Yusof, KM, Mohedas, I, Nghia, TLH, Pearson, A, Monat, J, Norton, P, Pearson, N, Monteiro, F, Novoselich, BJ, Pembridge, J, Moote, J, Noy, S, Perez-Felkner, L, Mora, M, O'Hara, R, Perkins, H, O'Moore, L, Peters-Burton, E, Morgan, D, Ohland, M, Pfirman, A, Morgan, T, Okai, B, Pinto, C, Morton, T, Olds, B, Pitterson, N, Mosyjowski, E, Orr, M, Polmear, M, Murphy, T, Ortega-Alvarez, JD, Prince, T, Murray, J, Oseguera, L, Purzer, S, Murzi, H, Owen, C, Quan, GM, Nagy, G, Ozkan, DS, Quillin, K, Natarajathinam, M, Panther, G, Rayess, N, Nelson, M, Patrick, A, Reed, T, Newberry, B, Paul, K, Reeping, D, Newstetter, W, Pawley, A, Reese, M, Reid, K, Rulifson, G, Shivy, V, Renn, K, Rynearson, AM, Simpson, Z, Ricco, G, Sanchez-Pena, ML, Sitomer, A, Richards, L, Saunders-Smits, G, Siverling, E, Rios, L, Sax, L, Slaton, A, Ro, HK, Schimpf, C, Sleezer, R, Roberts, D, Rodgers, K, Schippers, M, Smith-On, C, Rodriguez, S, Schnittka, C, Schunn, C, Rogers, C, Seah, LH, Rohde, J, Rohrer, D, Secules, S, Smith, K, Smith, N, Romine, W, Seifert, C, Sochacka, N, Ross, L, Sessa, V, Stearns, E, Ross, M, Sharp, H, Steif, M, Rottmann, C, Sharp, J, Stephan, P, Rucks, L, Shaw, C, Stevens, R, Streveler, R, Tolbert, D, van Der Marel, F, Strobel, J, Toraman, S, van Hattum, N, Stump, G, Tougaw, D, Verdin, D, Su, X, Trautvetter, LC, Verleger, M, Sundararaja, N, Trenshaw, KF, Vieira, C, Trevelyan, J, Svihla, V, Troussas, C, Villanueva, I, Swan, C, Tsai, J, Vinck, D, Virguez, L, Swanson, R, Tsugawa, MA, Vitasari, P, Sweeny, K, Tuononen, T, Vossoughi, S, Swenson, J, Turner, J, Wallin, P, Talley, K, Turner, S, Tan, L, Tyson, W, Watted, A, Tang, Y, Utley, J, Webber, K, Tank, K, Vasquez, RV, Weintrop, D, Thomas, K, Valdivia, A, Weiss, E, Thompson, JD, Valentine, A, West, R, Tierney, G, Van den Bogaard, M, Wiles, D, Wilson-Lopez, AA, Xinrui, X, Zastavker, Y, Wilson, D, Xu, YJ, Zhang, G, Wolmarans, N, Yang, Y, Zhu, J, Wong, R, Yi, S, Zoltowski, CB, Woollacott, L, and Yoon, SY

Published
2021

40. Case study of the use of remotely sensed data for modeling flood inundation on the River Severn, U.K

Author

Wright, N.G., Villanueva, I., Bates, P.D., Mason, D.C., Wilson, M.D., Pender, G., and Neelz, S.

Subjects
Severn River (United Kingdom) -- Environmental aspects, Remote sensing -- Usage, Floodplains -- Environmental aspects, Hydraulic engineering -- Research, Engineering and manufacturing industries, Science and technology
Abstract

A methodology for using remotely sensed data to both generate and evaluate a hydraulic model of floodplain inundation is presented for a rural case study in the United Kingdom: Upton-upon-Severn. Remotely sensed data have been processed and assembled to provide an excellent test data set for both model construction and validation. In order to assess the usefulness of the data and the issues encountered in its use, two models for floodplain inundation were constructed: one based on an industry standard one-dimensional approach and the other based on a simple two-dimensional approach. The results and their implications for the future use of remotely sensed data for predicting flood inundation are discussed. Key conclusions for the use of remotely sensed data are that care must be taken to integrate different data sources for both model construction and validation and that improvements in ground height data shift the focus in terms of model uncertainties to other sources such as boundary conditions. The differences between the two models are found to be of minor significance. DOI: 10.1061/(ASCE)0733-9429(2008)134:5(509) CE Database subject headings: Model studies; Remote sensing; Flood plains; United Kingdom; Case reports; Rivers; Water levels.

Published
2008

41. Hidradenitis Suppurativa is Associated with Non-alcoholic Fatty Liver Disease: A Cross-sectional Study

Author

Gonzalez-Villanueva I, De Gracia C, Planells M, Poveda I, Alvarez P, Schneller-Pavalescu L, Betlloch I, Jemec G, Ramos J, and Pascual J

Subjects
liver steatosis, hidradenitis suppurativa, acne inversa, hepatic ultrasound, nutritional and metabolic diseases, non-alcoholic fatty liver disease
Abstract

Non-alcoholic fatty liver disease (NAFLD) is currently the most common cause of end-stage liver disease. The aim of this controlled cross-sectional study was to assess the association between NAFLD and hidradenitis suppurativa. NAFLD was assessed using hepatic ultrasound. A total of 125 patients with hidradenitis suppurativa and 120 patients without hidradenitis suppurativa were recruited, matched for age, sex and body mass index (< 25 or >= 25 kg/m(2)), a risk factor related to NAFLD. Both groups presented similar proportions of overweight or obesity (89.6% vs 90%). Patients with hidradenitis suppurativa presented significantly higher prevalence of NAFLD compared with those with non-hidradenitis suppurativa (57.6% vs 31.7%, p < 0.001). Multivariable analysis confirmed independent association between hidradenitis suppurativa and NAFLD (odds ratio 2.79, 95% confidence interval 1.48-5.25; p = 0.001) besides age, body mass index, hypertension and hypertransaminasaemia. Hidradenitis suppurativa is significantly associated with the development of NALFD regardless of the presence of classic metabolic risk factors.

Published
2020

42. NoSARS-CoV-2 antibody response in 25 patients with pseudo-chilblains

Author

Docampo-Simon A, Sanchez-Pujol M, Gimeno-Gascon A, Palazon-Cabanes J, Juan-Carpena G, Vergara-De Caso E, Gonzalez-Villanueva I, Blanes-Martinez M, and Betlloch-Mas I

Subjects
acral, SARS-CoV-2, coronavirus, virus diseases, COVID-19, chilblains
Abstract

Chilblain-like acral lesions have been identified in some coronavirus disease 2019 (COVID-19) patients. It has been suggested that these pseudo-chilblains could be a specific marker of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Most patients with these lesions have had negative polymerase chain reactions (PCRs), but some authors believe serology tests are likely to give positive results. We designed a prospective study including all patients with pseudo-chilblains treated in outpatient department in April and May 2020 and then performed SARS-CoV-2 PCR and serology tests on all available patients. We evaluated 59 patients, of whom 17 had undergone PCR before the study period, all with negative results. For the present study, we performed 20 additional PCRs, serology tests in 25 patients, and a parvovirus B19 antibody test in 15 patients. All results were negative. Our findings counter the hypothesis that serology is likely to reveal SARS-CoV-2 infection in patients with pseudo-chilblains. One hypothesis for our negative results is that the time period between symptom onset and antibody production is longer in these patients; another is that the lesions are caused by behavioral changes during lockdown rather than SARS-CoV-2 infection. We nevertheless maintain that COVID-19 should be ruled out in people presenting with chilblain-like lesions.

Published
2020

43. Are chilblain-like acral skin lesions really indicative of COVID-19? A prospective study and literature review

Author

Docampo-Simon A, Sanchez-Pujol M, Juan-Carpena G, Palazon-Cabanes J, Vergara-De Caso E, Berbegal L, Poveda-Montoyo I, Pastor-Tomas N, Mataix-Diaz J, Terencio-Alemany C, Martinez-Torres A, Miralles-Botella J, Blanes-Martinez M, Gonzalez-Villanueva I, and Betlloch-Mas I

Abstract

Recently, young COVID-19 patients have presented with erythematous and purpuric acral lesions similar to chilblains(1–3). Despite the scarcity of published cases, this topic has attracted significant mass media attention.(4) Dermatologists have noted that more people than would be expected at this time of year are seeking medical attention for these chilblain-like lesions. Some have suggested that people presenting with this manifestation should be tested and isolated(2). Determining the accuracy of this association is therefore crucial. To establish the real prevalence of COVID-19 in patients with acral skin lesions, we firstly evaluated all the cases of acral lesions presented in dermatology and paediatrics departments and family doctors’ offices in an eastern Spanish region over a three-week period. Then we prospectively performed a SARS-CoV-2 PCR on nasopharyngeal aspirates taken from all available patients to determine whether their cutaneous manifestations were predictive of a positive result. To put our findings into context, we reviewed all the articles published before May 2020 concerning COVID-19 patients with cutaneous lesions. We evaluated 58 patients, whose characteristics are summarized in Table 1. In most cases, lesions were chilblain-like. Fifteen patients had already been tested, and only one had a positive result: an 85-year-old man admitted for severe Covid-19 pneumonia. He had an ulcer on a toe that was finally determined to be vascular in nature. We performed prospective PCR testing in 24 patients. All test results were negative. In total, then, PCR was negative in 38 patients and positive in a single patient whose lesion was very unlikely to be due to COVID-19. Our bibliography search returned 97 articles and we found 2 more through cross-references. Nine of these articles dealt with acral lesions specifically. Their results are summarized in Table 2. Data published in the literature are heterogeneous, as are the methods employed to collect them. The first papers looked at cutaneous manifestations in patients with confirmed SARS-CoV-2 infection.(5–8) This approach cannot reveal whether this dermatologic manifestation is a specific marker of SARS-CoV-2 infection, since patients without COVID-19 are not included. The other approach, which we have followed, is to analyse all patients with acral lesions. This can be done retrospectively, reporting on patients in the sample who have already been tested, or prospectively, performing the test on all available patients, regardless of whether they have symptoms. The retrospective method has a significant risk of confounding bias: due to the scarcity of COVID-19 tests(8), they are usually reserved for patients with COVID-19-related symptoms, who are obviously more likely to test positive. All previous studies including only patients with cutaneous acral lesions (summarized in table 2) have been retrospective, and only a minority of patients were tested. In total, 12 out of at least 49 tested patients were positive (24.5%). Combined with our results, they total 13 positives out of 88 tests (14.8%). There are two possible explanations for the high proportion of negative results: I) A high number of false negatives. II) The lesions are not related to SARS-CoV-2 infection. The low prevalence of an infected contact in our sample, after three weeks of strict confinement in Spain, makes the possibility of being infected in our cohort less likely. The diffusion of this entity by the mass media may have caused patients who would not normally consult to do so.(9) . Other possible explanations include a concomitant parvovirus B19 outbreak(10) or trauma-induced lesions. Our study suggests that acral skin lesions are not a specific marker of SARS-CoV-2 infection. Although larger prospective studies are needed, current evidence indicates that acral skin lesions should not be regarded as a sign of COVID-19 in otherwise asymptomatic patients.

Published
2020

44. Development and Validation of the AdT-Physio Scale: A Tool to Assess Adherence and Perception of Physical Therapist Intervention in Patients With Cystic Fibrosis

Author

Del Corral T, La Touche R, Cebrià I Iranzo MÀ, Olmos R, Blanco-Royano F, and López-de-Uralde-Villanueva I

Subjects
Cystic Fibrosis, Measures, Physical Therapy, Treatment Adherence and Compliance
Abstract

The purpose of this study was to develop a scale to measure patient adherence to physical therapist intervention and to report psychometric properties in patients with cystic fibrosis (CF).

Published
2020

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