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356 results on '"Salcido, A."'

1. Weak lensing combined with the kinetic Sunyaev Zel'dovich effect: A study of baryonic feedback

Author: Bigwood, L., Amon, A., Schneider, A., Salcido, J., McCarthy, I. G., Preston, C., Sanchez, D., Sijacki, D., Schaan, E., Ferraro, S., Battaglia, N., Chen, A., Dodelson, S., Roodman, A., Pieres, A., Ferte, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Yanny, B., Sanchez, C., Chang, C., Davis, C., Doux, C., Gruen, D., Rykoff, E. S., Huff, E. M., Sheldon, E., Tarsitano, F., Andrade-Oliveira, F., Bernstein, G. M., Giannini, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Elvin-Poole, J., McCullough, J., Zuntz, J., Blazek, J., DeRose, J., Cordero, J., Prat, J., Myles, J., Eckert, K., Bechtol, K., Herner, K., Secco, L. F., Gatti, M., Raveri, M., Kind, M. Carrasco, Becker, M. R., Troxel, M. A., Jarvis, M., MacCrann, N., Friedrich, O., Alves, O., Leget, P. -F., Chen, R., Rollins, R. P., Wechsler, R. H., Gruendl, R. A., Cawthon, R., Allam, S., Bridle, S. L., Pandey, S., Everett, S., Shin, T., Hartley, W. G., Fang, X., Zhang, Y., Aguena, M., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernandez, J., Miquel, R., Muir, J., Paterno, M., Malagon, A. A. Plazas, Porredon, A., Romer, A. K., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Yamamoto, M., Bigwood, L., Amon, A., Schneider, A., Salcido, J., McCarthy, I. G., Preston, C., Sanchez, D., Sijacki, D., Schaan, E., Ferraro, S., Battaglia, N., Chen, A., Dodelson, S., Roodman, A., Pieres, A., Ferte, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Yanny, B., Sanchez, C., Chang, C., Davis, C., Doux, C., Gruen, D., Rykoff, E. S., Huff, E. M., Sheldon, E., Tarsitano, F., Andrade-Oliveira, F., Bernstein, G. M., Giannini, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Elvin-Poole, J., McCullough, J., Zuntz, J., Blazek, J., DeRose, J., Cordero, J., Prat, J., Myles, J., Eckert, K., Bechtol, K., Herner, K., Secco, L. F., Gatti, M., Raveri, M., Kind, M. Carrasco, Becker, M. R., Troxel, M. A., Jarvis, M., MacCrann, N., Friedrich, O., Alves, O., Leget, P. -F., Chen, R., Rollins, R. P., Wechsler, R. H., Gruendl, R. A., Cawthon, R., Allam, S., Bridle, S. L., Pandey, S., Everett, S., Shin, T., Hartley, W. G., Fang, X., Zhang, Y., Aguena, M., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernandez, J., Miquel, R., Muir, J., Paterno, M., Malagon, A. A. Plazas, Porredon, A., Romer, A. K., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., and Yamamoto, M.
Abstract: Extracting precise cosmology from weak lensing surveys requires modelling the non-linear matter power spectrum, which is suppressed at small scales due to baryonic feedback processes. However, hydrodynamical galaxy formation simulations make widely varying predictions for the amplitude and extent of this effect. We use measurements of Dark Energy Survey Year 3 weak lensing (WL) and Atacama Cosmology Telescope DR5 kinematic Sunyaev-Zel'dovich (kSZ) to jointly constrain cosmological and astrophysical baryonic feedback parameters using a flexible analytical model, `baryonification'. First, using WL only, we compare the $S_8$ constraints using baryonification to a simulation-calibrated halo model, a simulation-based emulator model and the approach of discarding WL measurements on small angular scales. We find that model flexibility can shift the value of $S_8$ and degrade the uncertainty. The kSZ provides additional constraints on the astrophysical parameters and shifts $S_8$ to $S_8=0.823^{+0.019}_{-0.020}$, a higher value than attained using the WL-only analysis. We measure the suppression of the non-linear matter power spectrum using WL + kSZ and constrain a mean feedback scenario that is more extreme than the predictions from most hydrodynamical simulations. We constrain the baryon fractions and the gas mass fractions and find them to be generally lower than inferred from X-ray observations and simulation predictions. We conclude that the WL + kSZ measurements provide a new and complementary benchmark for building a coherent picture of the impact of gas around galaxies across observations.
Published: 2024

2. The FLAMINGO project: the coupling between baryonic feedback and cosmology in light of the $S_8$ tension

Author: Elbers, Willem, Frenk, Carlos S., Jenkins, Adrian, Li, Baojiu, Helly, John C., Kugel, Roi, Schaller, Matthieu, Schaye, Joop, Braspenning, Joey, Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, van Daalen, Marcel P., Vandenbroucke, Bert, Pascoli, Silvia, Elbers, Willem, Frenk, Carlos S., Jenkins, Adrian, Li, Baojiu, Helly, John C., Kugel, Roi, Schaller, Matthieu, Schaye, Joop, Braspenning, Joey, Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, van Daalen, Marcel P., Vandenbroucke, Bert, and Pascoli, Silvia
Abstract: Large-scale structure surveys have reported measurements of the density of matter, $\Omega_\mathrm{m}$, and the amplitude of clustering, $\sigma_8$, that are in tension with the values inferred from observations of the cosmic microwave background. While this may be a sign of new physics that slows the growth of structure at late times, strong astrophysical feedback processes could also be responsible. In this work, we argue that astrophysical processes are not independent of cosmology and that their coupling naturally leads to stronger baryonic feedback in cosmological models with suppressed structure formation or when combined with a mechanism that removes dark matter from halos. We illustrate this with two well-motivated extensions of the Standard Model known to suppress structure formation: massive neutrinos and decaying dark matter. Our results, based on the FLAMINGO suite of hydrodynamical simulations, show that the combined effect of baryonic and non-baryonic suppression mechanisms is greater than the sum of its parts, particularly for decaying dark matter. We also show that the dependence of baryonic feedback on cosmology can be modelled as a function of the ratio $f_\mathrm{b}/c^2_\mathrm{v}\sim f_\mathrm{b}/(\Omega_\mathrm{m}\sigma_8)^{1/4}$ of the universal baryon fraction, $f_\mathrm{b}$, to a velocity-based definition of halo concentration, $c^2_\mathrm{v}$, giving an accurate fitting formula for the baryonic suppression of the matter power spectrum. Although the combination of baryonic and non-baryonic suppression mechanisms can resolve the tension, the models with neutrinos and decaying dark matter are challenged by constraints on the expansion history., Comment: 16 pages, 9 figures, submitted to MNRAS
Published: 2024

3. GODMAX: Modeling gas thermodynamics and matter distribution using JAX

Author: Pandey, Shivam, Salcido, Jaime, To, Chun-Hao, Hill, J. Colin, Anbajagane, Dhayaa, Baxter, Eric J., McCarthy, Ian G., Pandey, Shivam, Salcido, Jaime, To, Chun-Hao, Hill, J. Colin, Anbajagane, Dhayaa, Baxter, Eric J., and McCarthy, Ian G.
Abstract: We introduce GODMAX (Gas thermODynamics and Matter distribution using jAX), a novel code designed to calculate correlations between the cosmological matter distribution and various gas thermodynamic quantities. Utilizing the extensive ANTILLES suite of 200 hydrodynamical simulations with a diverse range of baryonic feedback strengths, we jointly fit the 3D profiles of total matter distribution, electron density, and electron pressure across various halo masses and redshifts. By accommodating significant variations in gas profiles expected due to baryonic feedback, solving exact hydrostatic equilibrium equation and offering flexible modeling of non-thermal pressure support, GODMAX has the capability to jointly fit all these profiles within the measurement uncertainties. This advancement enables, for the first time, robust joint analyses of multiple cosmic probes, including the kinetic and thermal Sunyaev-Zel'dovich effect, weak lensing, and X-ray observations. Furthermore, the model accurately captures correlations between the total matter power suppression due to baryonic feedback and local average thermodynamic quantities, such as the baryon fraction and integrated tSZ effect, in high-mass halos, aligning with observations from hydrodynamical simulations. Looking ahead, we forecast the expected constraints on cosmological and baryonic parameters from upcoming weak lensing catalogs from the LSST and tSZ maps from the Simons Observatory. This analysis underscores the importance of cross-correlations between weak lensing and tSZ in enhancing parameter constraints by resolving major systematic uncertainties due to baryonic physics. The GODMAX code leverages the JAX library, resulting in a fully differentiable halo model with native GPU compilation support., Comment: 17 pages, 9 figures
Published: 2024

4. Addressing the Cold Case Crisis Among Native American Tribes in Arizona

Author: Salcido, Narayt and Salcido, Narayt
Abstract: According to reports published by multiple government agencies, there is a disproportionately high number of unsolved missing persons and unsolved murder cases among Native Americans. This appears to be due to several factors: 1) rates of murder, rape, and violent crime are all higher in this population compared to the national average; 2) there appear to be discrepancies in the number of missing persons reported among various agencies which has resulted in underreporting to critical databases, such as the National Missing and Unidentified Persons System (NamUs), which logged a small fraction of the cases reported to the United States Department of Justice; 3) many investigations remain unsolved due to a lack of investigative resources; and 4) there exists a history of mistrust of government agencies due to instances of discrimination and other transgressions against Native Americans. There are many challenges this population faces, many of which stem from a history of being under-served, underfunded, and overlooked. By examining the literature, we can determine where these discrepancies are, both by government agencies and by unofficial databases. We can also determine ways in which the government has attempted to address this crisis and why these have fallen short. By examining the history, we can determine how both generational and historical trauma have influenced certain aspects of this crisis. Approaching this through the lens of forensic psychology and in conjunction with tribal perspectives is one way to attempt to work through the trust and credibility problem.
Published: 2024

5. The FLAMINGO project: revisiting the $S_8$ tension and the role of baryonic physics

Author: McCarthy, Ian G., Salcido, Jaime, Schaye, Joop, Kwan, Juliana, Elbers, Willem, Kugel, Roi, Schaller, Matthieu, Helly, John C., Braspenning, Joey, Frenk, Carlos S., van Daalen, Marcel P., Vandenbroucke, Bert, Conley, Jonah T., Font, Andreea S., Upadhye, Amol, McCarthy, Ian G., Salcido, Jaime, Schaye, Joop, Kwan, Juliana, Elbers, Willem, Kugel, Roi, Schaller, Matthieu, Helly, John C., Braspenning, Joey, Frenk, Carlos S., van Daalen, Marcel P., Vandenbroucke, Bert, Conley, Jonah T., Font, Andreea S., and Upadhye, Amol
Abstract: A number of recent studies have found evidence for a tension between observations of large-scale structure (LSS) and the predictions of the standard model of cosmology with the cosmological parameters fit to the cosmic microwave background (CMB). The origin of this '$S_8$ tension' remains unclear, but possibilities include new physics beyond the standard model, unaccounted for systematic errors in the observational measurements and/or uncertainties in the role that baryons play. Here we carefully examine the latter possibility using the new FLAMINGO suite of large-volume cosmological hydrodynamical simulations. We project the simulations onto observable harmonic space and compare with observational measurements of the power and cross-power spectra of cosmic shear, CMB lensing, and the thermal Sunyaev-Zel'dovich (tSZ) effect. We explore the dependence of the predictions on box size and resolution, cosmological parameters including the neutrino mass, and the efficiency and nature of baryonic 'feedback'. Despite the wide range of astrophysical behaviours simulated, we find that baryonic effects are not sufficiently large to remove the $S_8$ tension. Consistent with recent studies, we find the CMB lensing power spectrum is in excellent agreement with the standard model, whilst the cosmic shear power spectrum, tSZ effect power spectrum, and the cross-spectra between shear, CMB lensing, and the tSZ effect are all in varying degrees of tension with the CMB-specified standard model. These results suggest that some mechanism is required to slow the growth of fluctuations at late times and/or on non-linear scales, but that it is unlikely that baryon physics is driving this modification., Comment: 26 pages, 12 figures, MNRAS, accepted with minor revisions
Published: 2023

6. Non-linear CMB lensing with neutrinos and baryons: FLAMINGO simulations vs. fast approximations

Author: Upadhye, Amol, Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, Helly, John C., Kugel, Roi, Schaller, Matthieu, Schaye, Joop, Braspenning, Joey, Elbers, Willem, Frenk, Carlos S., van Daalen, Marcel P., Vandenbroucke, Bert, Broxterman, Jeger C., Upadhye, Amol, Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, Helly, John C., Kugel, Roi, Schaller, Matthieu, Schaye, Joop, Braspenning, Joey, Elbers, Willem, Frenk, Carlos S., van Daalen, Marcel P., Vandenbroucke, Bert, and Broxterman, Jeger C.
Abstract: Weak lensing of the cosmic microwave background is rapidly emerging as a powerful probe of neutrinos, dark energy, and new physics. We present a fast computation of the non-linear CMB lensing power spectrum which combines non-linear perturbation theory at early times with power spectrum emulation using cosmological simulations at late times. Comparing our calculation with lightcones from the FLAMINGO 5.6 Gpc cube dark-matter-only simulation, we confirm its accuracy to 1% (2%) up to multipoles L = 3000 (L = 5000) for a nuLambdaCDM cosmology consistent with current data. Clustering suppression due to small-scale baryonic phenomena such as feedback from active galactic nuclei can reduce the lensing power by of order 10%. To our perturbation theory and emulator-based calculation we add SP(k), a new fitting function for this suppression, and confirm its accuracy compared to the FLAMINGO hydrodynamic simulations to 4% at L = 5000, with similar accuracy for massive neutrino models. We further demonstrate that scale-dependent suppression due to neutrinos and baryons approximately factorize, implying that a careful treatment of baryonic feedback can limit biasing neutrino mass constraints., Comment: 14 pages, 21 figures, 1 table
Published: 2023

7. FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Author: Kugel, Roi, Schaye, Joop, Schaller, Matthieu, Helly, John C., Braspenning, Joey, Elbers, Willem, Frenk, Carlos S., McCarthy, Ian G., Kwan, Juliana, Salcido, Jaime, van Daalen, Marcel P., Vandenbroucke, Bert, Bahé, Yannick M., Borrow, Josh, Chaikin, Evgenii, Huško, Filip, Jenkins, Adrian, Lacey, Cedric G., Nobels, Folkert S. J., Vernon, Ian, Kugel, Roi, Schaye, Joop, Schaller, Matthieu, Helly, John C., Braspenning, Joey, Elbers, Willem, Frenk, Carlos S., McCarthy, Ian G., Kwan, Juliana, Salcido, Jaime, van Daalen, Marcel P., Vandenbroucke, Bert, Bahé, Yannick M., Borrow, Josh, Chaikin, Evgenii, Huško, Filip, Jenkins, Adrian, Lacey, Cedric G., Nobels, Folkert S. J., and Vernon, Ian
Abstract: To fully take advantage of the data provided by large-scale structure surveys, we need to quantify the potential impact of baryonic effects, such as feedback from active galactic nuclei (AGN) and star formation, on cosmological observables. In simulations, feedback processes originate on scales that remain unresolved. Therefore, they need to be sourced via subgrid models that contain free parameters. We use machine learning to calibrate the AGN and stellar feedback models for the FLAMINGO cosmological hydrodynamical simulations. Using Gaussian process emulators trained on Latin hypercubes of 32 smaller-volume simulations, we model how the galaxy stellar mass function and cluster gas fractions change as a function of the subgrid parameters. The emulators are then fit to observational data, allowing for the inclusion of potential observational biases. We apply our method to the three different FLAMINGO resolutions, spanning a factor of 64 in particle mass, recovering the observed relations within the respective resolved mass ranges. We also use the emulators, which link changes in subgrid parameters to changes in observables, to find models that skirt or exceed the observationally allowed range for cluster gas fractions and the stellar mass function. Our method enables us to define model variations in terms of the data that they are calibrated to rather than the values of specific subgrid parameters. This approach is useful, because subgrid parameters are typically not directly linked to particular observables, and predictions for a specific observable are influenced by multiple subgrid parameters., Comment: 24 pages, 10 figures (Including the appendix). Accepted for publication in MNRAS. Minor changes w.r.t. version 1. For visualisations, see the FLAMINGO website at https://flamingo.strw.leidenuniv.nl
Published: 2023

8. SP(k) -- A hydrodynamical simulation-based model for the impact of baryon physics on the non-linear matter power spectrum

Author: Salcido, Jaime, McCarthy, Ian G., Kwan, Juliana, Upadhye, Amol, Font, Andreea S., Salcido, Jaime, McCarthy, Ian G., Kwan, Juliana, Upadhye, Amol, and Font, Andreea S.
Abstract: Upcoming large-scale structure surveys will measure the matter power spectrum to approximately percent level accuracy with the aim of searching for evidence for new physics beyond the standard model of cosmology. In order to avoid biasing our conclusions, the theoretical predictions need to be at least as accurate as the measurements for a given choice of cosmological parameters. However, recent theoretical work has shown that complex physical processes associated with galaxy formation (particularly energetic feedback processes associated with stars and especially supermassive black holes) can alter the predictions by many times larger than the required accuracy. Here we present $\texttt{SP(k)}$, a model for the effects of baryon physics on the non-linear matter power spectrum based on a new large suite of hydrodynamical simulations. Specifically, the ANTILLES suite consists of 400 simulations spanning a very wide range of the "feedback landscape" and show that the effects of baryons on the matter power spectrum can be understood at approaching the percent level in terms of the mean baryon fraction of haloes, at scales of up to $k \lesssim 10 \, h \, $Mpc$^{-1}$ and redshifts up to $z=3$. For the range of scales and redshifts that will be probed by forthcoming cosmic shear measurements, most of the effects are driven by galaxy group-mass haloes ($M \sim 10^{13-14}$ M$_\odot$). We present a simple Python implementation of our model, available at $\href{https://github.com/jemme07/pyspk}{\mathrm{https{:}//github.com/jemme07/pyspk}}$, which can be used to incorporate baryon effects in standard gravity-only predictions, allowing for marginalisation over baryon physics within cosmological pipelines., Comment: Refereed version accepted for publication in Monthly Notices of the Royal Astronomical Society (MNRAS). 16 pages, 11 figures
Published: 2023
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9. The FLAMINGO project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys

Author: Schaye, Joop, Kugel, Roi, Schaller, Matthieu, Helly, John C., Braspenning, Joey, Elbers, Willem, McCarthy, Ian G., van Daalen, Marcel P., Vandenbroucke, Bert, Frenk, Carlos S., Kwan, Juliana, Salcido, Jaime, Bahé, Yannick M., Borrow, Josh, Chaikin, Evgenii, Hahn, Oliver, Huško, Filip, Jenkins, Adrian, Lacey, Cedric G., Nobels, Folkert S. J., Schaye, Joop, Kugel, Roi, Schaller, Matthieu, Helly, John C., Braspenning, Joey, Elbers, Willem, McCarthy, Ian G., van Daalen, Marcel P., Vandenbroucke, Bert, Frenk, Carlos S., Kwan, Juliana, Salcido, Jaime, Bahé, Yannick M., Borrow, Josh, Chaikin, Evgenii, Hahn, Oliver, Huško, Filip, Jenkins, Adrian, Lacey, Cedric G., and Nobels, Folkert S. J.
Abstract: We introduce the Virgo Consortium's FLAMINGO suite of hydrodynamical simulations for cosmology and galaxy cluster physics. To ensure the simulations are sufficiently realistic for studies of large-scale structure, the subgrid prescriptions for stellar and AGN feedback are calibrated to the observed low-redshift galaxy stellar mass function and cluster gas fractions. The calibration is performed using machine learning, separately for three resolutions. This approach enables specification of the model by the observables to which they are calibrated. The calibration accounts for a number of potential observational biases and for random errors in the observed stellar masses. The two most demanding simulations have box sizes of 1.0 and 2.8 Gpc and baryonic particle masses of $1\times10^8$ and $1\times10^9 \text{M}_\odot$, respectively. For the latter resolution the suite includes 12 model variations in a 1 Gpc box. There are 8 variations at fixed cosmology, including shifts in the stellar mass function and/or the cluster gas fractions to which we calibrate, and two alternative implementations of AGN feedback (thermal or jets). The remaining 4 variations use the unmodified calibration data but different cosmologies, including different neutrino masses. The 2.8 Gpc simulation follows $3\times10^{11}$ particles, making it the largest ever hydrodynamical simulation run to $z=0$. Lightcone output is produced on-the-fly for up to 8 different observers. We investigate numerical convergence, show that the simulations reproduce the calibration data, and compare with a number of galaxy, cluster, and large-scale structure observations, finding very good agreement with the data for converged predictions. Finally, by comparing hydrodynamical and `dark-matter-only' simulations, we confirm that baryonic effects can suppress the halo mass function and the matter power spectrum by up to $\approx20$ per cent., Comment: 44 pages, 23 figures. Accepted for publication in MNRAS. V3 includes changes made in published version: jet simulations were redone to fix a bug, but the differences are nearly invisible. For visualizations, see the FLAMINGO website at https://flamingo.strw.leidenuniv.nl
Published: 2023
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10. Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies

Author: Mason, James Paul, Werth, Alexandra, West, Colin G., Youngblood, Allison A., Woodraska, Donald L., Peck, Courtney, Lacjak, Kevin, Frick, Florian G., Gabir, Moutamen, Alsinan, Reema A., Jacobsen, Thomas, Alrubaie, Mohammad, Chizmar, Kayla M., Lau, Benjamin P., Dominguez, Lizbeth Montoya, Price, David, Butler, Dylan R., Biron, Connor J., Feoktistov, Nikita, Dewey, Kai, Loomis, N. E., Bodzianowski, Michal, Kuybus, Connor, Dietrick, Henry, Wolfe, Aubrey M., Guerrero, Matt, Vinson, Jessica, Starbuck, Peter, Litton, Shelby D, Beck, M. G., Fisch, Jean-Paul, West, Ayana, Muniz, Alexis A., Chavez, Luis, Upthegrove, Zachary T., Runyon, Brenton M., Salazar, J., Kritzberg, Jake E., Murrel, Tyler, Ho, Ella, LaFemina, Quintin Y., Elbashir, Sara I., Chang, Ethan C., Hudson, Zachary A., Nussbaum, Rosemary O., Kennedy, Kellen, Kim, Kevin, Arango, Camila Villamil, Albakr, Mohammed A., Rotter, Michael, Garscadden, A. J., Salcido-Alcontar JR, Antonio, Pearl, Harrison M., Stepaniak, Tyler, Marquez, Josie A., Marsh, Lauren, Andringa, Jesse C, Osogwin, Austin, Shields, Amanda M., Brookins, Sarah, Hach, Grace K., Clausi, Alexis R., Millican, Emily B., Jaimes, Alan A, Graham, Alaina S., Burritt, John J., Perez, J. S., Ramirez, Nathaniel, Suri, Rohan, Myer, Michael S., Kresek, Zoe M., Goldsberry, C. A., Payne, Genevieve K., Jourabchi, Tara, Hu, J., Lucca, Jeffrey, Feng, Zitian, Gilpatrick, Connor B., Khan, Ibraheem A., Warble, Keenan, Sweeney, Joshua D., Dorricott, Philip, Meyer, Ethan, Kothamdi, Yash S., Sohail, Arman S., Grell, Kristyn, Floyd, Aidan, Bard, Titus, Mathieson, Randi M., Reed, Joseph, Cisneros, Alexis, Payne, Matthew P., Jarriel, J. R., Mora, Jacqueline Rodriguez, Sundell, M. E., Patel, Kajal, Alesmail, Mohammad, Alnasrallah, Yousef A, Abdullah, Jumana T., Molina-Saenz, Luis, Tayman, K. E., Brown, Gabriel T., Kerr-Layton, Liana, Berriman-Rozen, Zachary D., Hiatt, Quinn, Kalra, Etash, Ong, Jason, Vadayar, Shreenija, Shannahan, Callie D., Benke, Evan, zhang, Jinhua, Geisman, Jane, Martyr, Cara, Ameijenda, Federico, Akruwala, Ushmi H., Nehring, Molly, Kissner, Natalie, Rule, Ian C., Learned, Tyler, Smith, Alexandra N., Mazzotta, Liam, Rounsefell, Tyndall, Eyeson, Elizabeth A., Shelby, Arlee K., Moll, Tyler S, Menke, Riley, Shahba, Hannan, House Jr., Tony A., Clark, David B., Burns, Annemarie C., de La Beaujardiere, Tristan, Trautwein, Emily D., Plantz, Will, Reeves, Justin, Faber, Ian, Buxton, B. W., Highhouse, Nigel, Landrey, Kalin, Hansen, Connor M, Chen, Kevin, Hales, Ryder Buchanan, Borgerding, Luke R., Guo, Mutian, Crow, Christian J., Whittall, Lloyd C., Simmons, Conor, Folarin, Adeduni, Parkinson, Evan J., Rahn, Anna L., Blevins, Olivia, Morelock, Annalise M., Kelly, Nicholas, Parker, Nathan L., Smith, Kelly, Plzak, Audrey E., Saeb, David, Hares, Cameron T., Parker, Sasha R., McCoy, Andrew, Pham, Alexander V., Lauzon, Megan, Kennedy, Cayla J., Reyna, Andrea B., Acosta, Daniela M. Meza, Cool, Destiny J., Steinbarth, Sheen L., Mendoza-Anselmi, Patricia, Plutt, Kaitlyn E., Kipp, Isabel M, Rakhmonova, M., Brown, Cameron L., Van Anne, Gabreece, Moss, Alexander P., Golden, Olivia, Kirkpatrick, Hunter B., Colleran, Jake R., Sullivan, Brandon J, Tran, Kevin, Carpender, Michael Andrew, Mundy, Aria T., Koenig, Greta, Oudakker, Jessica, Engelhardt, Rasce, Ales, Nolan, Wexler, Ethan Benjamin, Beato, Quinn I, Chen, Lily, Cochran, Brooke, Hill, Paula, Hamilton, Sean R., Hashiro, Kyle, Khan, Usman, Martinez, Alexa M., Brockman, Jennifer L., Mallory, Macguire, Reed, Charlie, Terrile, Richard, Singh, Savi, Watson, James Adam, Creany, Joshua B., Price, Nicholas K., Miften, Aya M., Tran, Bryn, Kamenetskiy, Margaret, Martinez, Jose R., Opp, Elena N., Huang, Jianyang, Fails, Avery M., Belei, Brennan J., Slocum, Ryan, Astalos, Justin, East, Andrew, Nguyen, Lena P., Pherigo, Callie C, East, Andrew N., Li, David Y., Nelson, Maya LI, Taylor, Nicole, Odbayar, Anand, Rives, Anna Linnea, Mathur, Kabir P., Billingsley, Jacob, Polikoff, Hyden, Driscoll, Michael, Wilson, Orion K., Lahmers, Kyle, Toon, Nathaniel J., Lippincott, Sam, Musgrave, Andrew J., Gregory, Alannah H., Pitsuean-Meier, Sedique, Jesse, Trevor, Smith, Corey, Miles, Ethan J., Kainz, Sabrina J. H. T., Ji, Soo Yeun, Nguyen, Lena, Aryan, Maryam, Dinser, Alexis M., Shortman, Jadon, Bastias, Catalina S, Umbricht, Thomas D, Cage, Breonna, Randolph, Parker, Pollard, Matthew, Simone, Dylan M., Aramians, Andrew, Brecl, Ariana E., Robert, Amanda M., Zenner, Thomas, Saldi, Maxwell, Morales, Gavin, Mendez, Citlali, Syed, Konner, Vogel, Connor Maklain, Cone, Rebecca A., Berhanu, Naomi, Carpenter, Emily, Leoni, Cecilia, Bryan, Samuel, Ramachandra, Nidhi, Shaw, Timothy, Lee, E. C., Monyek, Eli, Wegner, Aidan B., Sharma, Shajesh, Lister, Barrett, White, Jamison R., Willard, John S., Sulaiman, S. A, Blandon, Guillermo, Narayan, Anoothi, Ruger, Ryan, Kelley, Morgan A., Moreno, Angel J., Balcer, Leo M, Ward-Chene, N. R. 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J., Kuiper, Nicolas A., Hoffman, Alex, DeBarros, Elyse, Curry, Riley T., Brzostowicz, A., Courtney, Jonas, Zhao, Tiannie, Szabo, Emi, Ghaith, Bandar Abu, Slyne, Colin, Beck, Lily, Quinonez, Oliver, Collins, Sarah, Madonna, Claire A., Morency, Cora, Palizzi, Mallory, Herwig, Tim, Beauprez, Jacob N., Ghiassi, Dorsa, Doran, Caroline R., Yang, Zhanchao, Padgette, Hannah M., Dicken, Cyrus A., Austin, Bryce W., Phalen, Ethan J., Xiao, Catherine, Palos, Adler, Gerhardstein, Phillip, Altenbern, Ava L., Orbidan, Dan, Dorr, Jackson A., Rivas, Guillermo A., Ewing, Calvin A, Giebner, B. C., McEntee, Kelleen, Kite, Emily R., Crocker, K. A., Haley, Mark S., Lezak, Adrienne R., McQuaid, Ella, Jeong, Jacob, Albaum, Jonathan, Hrudka, E. M., Mulcahy, Owen T., Tanguma, Nolan C., Oishi-Holder, Sean, White, Zachary, Coe, Ryan W., Boyer, Christine, Chapman, Mitchell G., Fortino, Elise, Salgado, Jose A., Hellweg, Tim, Martinez, Hazelia K., Mitchell, Alexander J., Schubert, Stephanie H., Schumacher, Grace K, Tesdahl, Corey D, Uphoff, C. H., Vassilyev, Alexandr, Witkoff, Briahn, Wolle, Jackson R., Dice, Kenzie A., Behrer, Timothy A., Bowen, Troy, Campbell, Andrew J, Clarkson, Peter C, Duong, Tien Q., Hawat, Elijah, Lopez, Christian, Olson, Nathaniel P., Osborn, Matthew, Peou, Munisettha E., Vaver, Nicholas J., Husted, Troy, Kallemeyn, Nicolas Ian, Spangler, Ava A, Mccurry, Kyle, Schultze, Courtney, Troisi, Thomas, Thomas, Daniel, Ort, Althea E., Singh, Maya A., Soon, Caitlin, Patton, Catherine, Billman, Jayce A., Jarvis, Sam, Hitt, Travis, Masri, Mirna, Albalushi, Yusef J., Schofer, Matthew J, Linnane, Katherine B., Knott, Philip Whiting, Valencia, Whitney, Arias-Robles, Brian A., Ryder, Diana, Simone, Anna, Abrams, Jonathan M., Belknap, Annelene L., Rouse, Charlotte, Reynolds, Alexander, Petric, Romeo S. L., Gomez, Angel A., Meiselman-Ashen, Jonah B., Carey, Luke, Dias, John S., Fischer-White, Jules, Forbes, Aidan E., Galarraga, Gabriela, Kennedy, Forrest, Lawlor, Rian, Murphy, Maxwell J., Norris, Cooper, Quarderer, Josh, Waller, Caroline, Weber, Robert J., Gunderson, Nicole, Boyne, Tom, Gregory, Joshua A., Propper, Henry Austin, von Peccoz, Charles B. Beck, Branch, Donovan, Clarke, Evelyn, Cutler, Libby, Dabberdt, Frederick M., Das, Swagatam, Figueirinhas, John Alfred D., Fougere, Benjamin L., Roy, Zoe A., Zhao, Noah Y., Cox, Corben L., Barnhart, Logan D. W., Craig, Wilmsen B., Moll, Hayden, Pohle, Kyle, Mueller, Alexander, Smith, Elena K., Spicer, Benjamin C., Aycock, Matthew C., Bat-Ulzii, Batchimeg, Murphy, Madalyn C., Altokhais, Abdullah, Thornally, Noah R., Kleinhaus, Olivia R., Sarfaraz, Darian, Barnes, Grant M., Beard, Sara, Banda, David J, Davis, Emma A. B., Huebsch, Tyler J., Wagoner, Michaela, Griego, Justus, Hale, Jack J. Mc, Porter, Trevor J., Abrashoff, Riley, Phan, Denise M., Smith, Samantha M., Srivastava, Ashish, Schlenker, Jared A. W., Madsen, Kasey O., Hirschmann, Anna E., Rankin, Frederick C, Akbar, Zainab A., Blouin, Ethan, Coleman-Plante, Aislinn, Hintsa, Evan, Lookhoff, Emily, Amer, Hamzi, Deng, Tianyue, Dvorak, Peter, Minimo, Josh, Plummer, William C., Ton, Kelly, Solt, Lincoln, AlAbbas, Batool H., AlAwadhi, Areej A., Cooper, Nicholas M., Corbitt, Jessica S, Dunlap, Christian, Johnson, Owen, Malone, Ryan A., Tellez, Yesica, Wallace, Logan, Ta, Michael-Tan D., Wheeler, Nicola H., Ramirez, Ariana C., Huang, Shancheng, Mehidic, Amar, Christiansen, Katherine E, Desai, Om, Domke, Emerson N., Howell, Noah H., Allsbrook, Martin, Alnaji, Teeb, England, Colin, Siles, Nathan, Burton, Nicholas David, Cruse, Zoe, Gilmartin, Dalton, Kim, Brian T., Hattendorf, Elsie, Buhamad, Maryam, Gayou, Lily, Seglem, Kasper, Alkhezzi, Tameem, Hicks, Imari R., Fife, Ryann, Pelster, Lily M., Fix, Alexander, Sur, Sohan N., Truong, Joshua K., Kubiak, Bartlomiej, Bondar, Matthew, Shi, Kyle Z., Johnston, Julia, Acevedo, Andres B., Lee, Junwon, Solorio, William J., Johnston, Braedon Y., McCormick, Tyler, Olguin, Nicholas, Pastor, Paige J., Wilson, Evan M., Trunko, Benjamin L., Sjoroos, Chris, Adams, Kalvyn N, Bell, Aislyn, Brumage-Heller, Grant, Canales, Braden P., Chiles, Bradyn, Driscoll, Kailer H., Hill, Hallie, Isert, Samuel A., Ketterer, Marilyn, Kim, Matthew M., Mewhirter, William J., Phillips, Lance, Phommatha, Krista, Quinn, Megan S., Reddy, Brooklyn J., Rippel, Matthew, Russell, Bowman, Williams, Sajan, Pixley, Andrew M., Gapin, Keala C., Peterson, B., Ruprecht, Collin, Hardie, Isabelle, Li, Isaac, Erickson, Abbey, Gersabeck, Clint, Gopalani, Mariam, Allanqawi, Nasser, Burton, Taylor, Cahn, Jackson R., Conti, Reese, White, Oliver S., Rojec, Stewart, Hogen, Blake A., Swartz, Jason R., Dick, R., Battist, Lexi, Dunn, Gabrielle M., Gasser, Rachel, Logan, Timothy W., Sinkovic, Madeline, Schaller, Marcus T., Heintz, Danielle A., Enrich, Andrew, Sanchez, Ethan S., Perez, Freddy, Flores, Fernando, Kapla, Shaun D., Shockley, Michael C., Phillips, Justin, Rumley, Madigan, Daboub, Johnston, Karsh, Brennan J., Linders, Bridget, Chen, Sam, Do, Helen C., Avula, Abhinav, French, James M., Bertuccio, Chrisanna, Hand, Tyler, Lee, Adrianna J., Neeland, Brenna K, Salazar, Violeta, Andrew, Carter, Barmore, Abby, Beatty, Thomas, Alonzi, Nicholas, Brown, Ryan, Chandler, Olivia M., Collier, Curran, Current, Hayden, Delasantos, Megan E., Bonilla, Alberto Espinosa de los Monteros, Fowler, Alexandra A., Geneser, Julianne R., Gentry, Eleanor, Gustavsson, E. R., Hansson, Jonathan, Hao, Tony Yunfei, Herrington, Robert N., Kelly, James, Kelly, Teagan, Kennedy, Abigail, Marquez, Mathew J., Meillon, Stella, Palmgren, Madeleine L., Pesce, Anneliese, Ranjan, Anurag, Robertson, Samuel M., Smith, Percy, Smith, Trevor J, Soby, Daniel A., Stratton, Grant L., Thielmann, Quinn N., Toups, Malena C., Veta, Jenna S., Young, Trenton J., Maly, Blake, Manzanares, Xander R., Beijer, Joshua, George, Jacob D., Mills, Dylan P., Ziebold, Josh J, Chambers, Paige, Montoya, Michael, Cheang, Nathan M., Anderson, Hunter J., Duncan, Sheridan J., Ehrlich, Lauren, Hudson, Nathan C., Kiechlin, Jack L., Koch, Will, Lee, Justin, Menassa, Dominic, Oakes, S. H., Petersen, Audrey J., Bunsow, J. R. Ramirez, Bay, Joshua, Ramirez, Sacha, Fenwick, Logan D., Boyle, Aidan P., Hibbard, Lea Pearl, Haubrich, Calder, Sherry, Daniel P., Jenkins, Josh, Furney, Sebastian, Velamala, Anjali A., Krueger, Davis J., Thompson, William N., Chhetri, Jenisha, Lee, Alexis Ying-Shan, Ray, Mia G. V., Recchia, John C., Lengerich, Dylan, Taulman, Kyle, Romero, Andres C., Steward, Ellie N., Russell, Sloan, Hardwick, Dillon F., Wootten, Katelynn, Nguyen, Valerie A., Quispe, Devon, Ragsdale, Cameron, Young, Isabel, Atchley-Rivers, N. S., Stribling, Jordin L., Gentile, Julia G, Boeyink, Taylor A., Kwiatkowski, Daniel, Dupeyron, Tomi Oshima, Crews, Anastasia, Shuttleworth, Mitchell, Dresdner, Danielle C., Flackett, Lydia, Haratsaris, Nicholas, Linger, Morgan I, Misener, Jay H., Patti, Samuel, Pine, Tawanchai P., Marikar, Nasreen, Matessi, Giorgio, Routledge, Allie C., Alkaabi, Suhail, Bartman, Jessica L., Bisacca, Gabrielle E., Busch, Celeste, Edwards, Bree, Staudenmier, Caitlyn, Starling, Travis, McVey, Caden, Montano, Maximus, Contizano, Charles J., Taylor, Eleanor, McIntyre, James K., Victory, Andrew, McCammon, Glen S., Kimlicko, Aspen, Sheldrake, Tucker, Shelchuk, Grace, Von Reich, Ferin J., Hicks, Andrew J., O'neill, Ian, Rossman, Beth, Taylor, Liam C., MacDonald, William, Becker, Simone E., Han, Soonhee, O'Sullivan, Cian, Wilcove, Isaac, Brennan, David J., Hanley, Luke C., Hull, Owen, Wilson, Timothy R., Kalmus, Madison H., Berv, Owen A., Harris, Logan Swous, Doan, Chris H, Londres, Nathan, Parulekar, Anish, Adam, Megan M., Angwin, Abigail, Cabbage, Carter C., Colleran, Zachary, Pietras, Alex, Seux, Octave, Oros, Ryan, Wilkinson, Blake C., Nguyen, Khoa D, Trank-Greene, Maedee, Barone, Kevin M., Snyder, G. L., Biehle, Samuel J, Billig, Brennen, Almquist, Justin Thomas, Dixon, Alyssa M., Erickson, Benjamin, Evans, Nathan, Genne, SL, Kelly, Christopher M, Marcus, Serafima M., Ogle, Caleb, Patel, Akhil, Vendetti, Evan, Courtney, Olivia, Deel, Sean, Del Foco, Leonardo, Gjini, Michael, Haines, Jessica, Hoff, Isabelle J., Jones, M. R., Killian, Dominic, Kuehl, Kirsten, Kuester, Chrisanne, Lantz, Maxwell B., Lee, Christian J, Mauer, Graham, McKemey, Finbar K., Millican, Sarah J., Rosasco, Ryan, Stewart, T. C., VanEtten, Eleanor, Derwin, Zachary, Serio, Lauren, Sickler, Molly G., Blake, Cassidy A., Patel, Neil S., Fox, Margaret, Gray, Michael J, Ziegler, Lucas J., Kumar, Aman Priyadarshi, Polly, Madelyn, Mesgina, Sarah, McMorris, Zane, Griffin, Kyle J., Haile, L. N., Bassel, Claire, Dixon, Thomas J., Beattie, Ryan, Houck, Timothy J, Rodgers, Maeve, Trofino, Tyson R., Lukianow, Dax, Smart, Korben, Hall, Jacqueline L., Bone, Lauren, Baldwin, James O., Doane, Connor, Almohsen, Yousef A., Stamos, Emily, Acha, Iker, Kim, Jake, Samour II, Antonio E., Chavali, S., Kanokthippayakun, Jeerakit, Gotlib, Nicholas, Murphy, Ryan C., Archibald, Jack. W., Brimhall, Alexander J, Boyer, Aidan, Chapman, Logan T., Chadda, Shivank, Sibrell, Lisa, Vallery, Mia M., Conroy, Thomas C., Pan, Luke J., Balajonda, Brian, Fuhrman, Bethany E. S., Alkubaisi, Mohamed, Engelstad, Jacob, Dodrill, Joshua, Fuchs, Calvin R., Bullard-Connor, Gigi, Alhuseini, Isehaq, Zygmunt, James C., Sipowicz, Leo, Hayrynen, Griffin A., McGill, Riley M., Keating, Caden J., Hart, Omer, Cyr, Aidan St., Steinsberger, Christopher H., Thoman, Gerig, Wood, Travis M., Ingram, Julia A., Dominguez, J., Georgiades, Nathaniel James, Johnson, Matthew, Johnson, Sawyer, Pedersen, Alexander J., Ralapanawe, Anoush K, Thomas, Jeffrey J., Sato, Ginn A., Reynolds, Hope, Nasser, Liebe, Mizzi, Alexander Z., Damgaard, Olivia, Baflah, Abdulrahman A., Liu, Steven Y., Salindeho, Adam D., Norden, Kelso, Gearhart, Emily E., Krajnak, Zack, Szeremeta, Philip, Amos, Meggan, Shin, Kyungeun, Muckenthaler, Brandon A., Medialdea, Melissa, Beach, Simone, Wilson, Connor B., Adams, Elena R, Aldhamen, Ahmed, Harris, Coyle M., Hesse, Troy M., Golding, Nathan T., Larter, Zachary, Hernandez, Angel, Morales, Genaro, Traxler, Robert B., Alosaimi, Meshal, Fitton, Aidan F., Aaron, James Holland, Lee, Nathaniel F., Liao, Ryan Z., Chen, Judy, French, Katherine V., Loring, Justin, Colter, Aurora, McConvey, Rowan, Colozzi, Michael, Vann, John D., Scheck, Benjamin T., Weigand, Anthony A, Alhabeeb, Abdulelah, Idoine, Yolande, Woodard, Aiden L., Medellin, Mateo M., Ratajczyk, Nicholas O, Tobin, Darien P., Collins, Jack C., Horning, Thomas M., Pellatz, Nick, Pitten, John, Lordi, Noah, Patterson, Alyx, Hoang, Thi D, Zimmermann, Ingrid H, Wang, Hongda, Steckhahn, Daniel, Aradhya, Arvind J., Oliver, Kristin A., Cai, Yijian, Wang, Chaoran, Yegovtsev, Nikolay, Wu, Mengyu, Ganesan, Koushik, Osborne, Andrew, Wickenden, Evan, Meyer, Josephine C., Chaparro, David, Visal, Aseem, Liu, Haixin, Menon, Thanmay S., Jin, Yan, Wilson, John, Erikson, James W., Luo, Zheng, Shitara, Nanako, Nelson, Emma E, Geerdts, T. R., Ortiz, Jorge L Ramirez, and Lewandowski, H. J.
Abstract: Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counter-intuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, $\alpha=2$ as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed $>$600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: pre-flare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that $\alpha = 1.63 \pm 0.03$. This is below the critical threshold, suggesting that Alfv\'en waves are an important driver of coronal heating., Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The Astrophysical Journal on 2023-05-09, volume 948, page 71
Published: 2023
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11. Plant size, latitude, and phylogeny explain within-population variability in herbivory

Author: Moreira Tomé, Xoaquín [0000-0003-0166-838X], Robinson, M L, Hahn, P G, Inouye, B D, Underwood, N, Whitehead, S R, Abbott, K C, Bruna, E M, Cacho, N I, Dyer, L A, Abdala-Roberts, L, Allen, W J, Lindroth, R L, LoPresti, E F, Losada, M, Louthan, A M, Luizzi, V J, Lynch, S C, Lynn, J S, Lyon, N J, Maia, L F, Maia, R A, Andrade, J F, Mannall, T L, Martin, B S, Massad, T J, McCall, A C, McGurrin, K, Merwin, A C, Mijango-Ramos, Z, Mills, C H, Moles, A T, Moore, C M, Angulo, D F, Moreira Tomé, Xoaquín, Morrison, C R, Moshobane, M C, Muola, A, Nakadai, R, Nakajima, K, Novais, S, Ogbebor, C O, Ohsaki, H, Pan, V S, Anjos, D, Pardikes, N A, Pareja, M, Parthasarathy, N, Pawar, R R, Paynter, Q, Pearse, I S, Penczykowski, R M, Pepi, A A, Pereira, C C, Phartyal, S S, Anstett, D N, Piper, F I, Poveda, K, Pringle, E G, Puy, J, Quijano Gaudes, Laura, Quintero, C, Rasmann, S, Rosche, C, Rosenheim, L Y, Rosenheim, J A, Bagchi, R, Runyon, J B, Sadeh, A, Sakata, Y, Salcido, D M, Salgado-Luarte, C, Santos, B A, Sapir, Y, Sasal, Y, Sato, Y, Sawant, M, Bagchi, S, Schroeder, H, Schumann, I, Segoli, M, Segre, H, Shelef, O, Shinohara, N, Singh, R P, Smith, D S, Sobral, M, Stotz, G C, Barbosa, M, Tack, Ayco J. M., Tayal, M, Tooker, J F, Torrico-Bazoberry, D, Tougeron, K, Trowbridge, A M, Utsumi, S, Uyi, O, Vaca-Uribe, J L, Valtonen, A, Barrett, S, van Dijk, L J A, Vandvik, V, Villellas, J, Waller, L P, Weber, M G, Yamawo, A, Yim, S, Zarnetske, P L, Zehr, L N, Zhong, Z, Baskett, C A, Wetzel, W C, Ben-Simchon, E, Bloodworth, K J, Bronstein, J L, Buckley, Y M, Burghardt, K T, Bustos-Segura, C, Calixto, E S, Carvalho, R L, Castagneyrol, B, Chiuffo, M C, Cinoğlu, D, Cinto Mejía, E, Cock, M C, Cogni, R, Cope, O L, Cornelissen, T, Cortez, D R, Crowder, D W, Dallstream, C, Dáttilo, W, Davis, J K, Dimarco, R D, Dole, H E, Egbon, I N, Eisenring, M, Ejomah, A, Elderd, B D, Endara, M-J, Eubanks, M D, Everingham, S E, Farah, K N, Farias, R P, Fernandes, A P, Fernandes, G W, Ferrante, M, Finn, A, Florjancic, G A, Forister, M L, Fox, Q N, Frago, E, França, F M, Getman-Pickering, A S, Getman-Pickering, Z, Gianoli, E, Gooden, B, Gossner, M M, Greig, K A, Gripenberg, S, Groenteman, R, Grof-Tisza, P, Haack, N, Hahn, L, Haq, S M, Helms, A M, Hennecke, J, Hermann, S L, Holeski, L M, Holm, S, Hutchinson, M C, Jackson, E E, Kagiya, S, Kalske, A, Kalwajtys, M, Karban, R, Kariyat, R, Keasar, T, Kersch-Becker, M F, Kharouba, H M, Kim, T N, Kimuyu, D M, Kluse, J, Koerner, S E, Komatsu, K J, Krishnan, S, Laihonen, M, Lamelas-López, L, LaScaleia, M C, Lecomte, N, Lehn, C R, Li, X, Moreira Tomé, Xoaquín [0000-0003-0166-838X], Robinson, M L, Hahn, P G, Inouye, B D, Underwood, N, Whitehead, S R, Abbott, K C, Bruna, E M, Cacho, N I, Dyer, L A, Abdala-Roberts, L, Allen, W J, Lindroth, R L, LoPresti, E F, Losada, M, Louthan, A M, Luizzi, V J, Lynch, S C, Lynn, J S, Lyon, N J, Maia, L F, Maia, R A, Andrade, J F, Mannall, T L, Martin, B S, Massad, T J, McCall, A C, McGurrin, K, Merwin, A C, Mijango-Ramos, Z, Mills, C H, Moles, A T, Moore, C M, Angulo, D F, Moreira Tomé, Xoaquín, Morrison, C R, Moshobane, M C, Muola, A, Nakadai, R, Nakajima, K, Novais, S, Ogbebor, C O, Ohsaki, H, Pan, V S, Anjos, D, Pardikes, N A, Pareja, M, Parthasarathy, N, Pawar, R R, Paynter, Q, Pearse, I S, Penczykowski, R M, Pepi, A A, Pereira, C C, Phartyal, S S, Anstett, D N, Piper, F I, Poveda, K, Pringle, E G, Puy, J, Quijano Gaudes, Laura, Quintero, C, Rasmann, S, Rosche, C, Rosenheim, L Y, Rosenheim, J A, Bagchi, R, Runyon, J B, Sadeh, A, Sakata, Y, Salcido, D M, Salgado-Luarte, C, Santos, B A, Sapir, Y, Sasal, Y, Sato, Y, Sawant, M, Bagchi, S, Schroeder, H, Schumann, I, Segoli, M, Segre, H, Shelef, O, Shinohara, N, Singh, R P, Smith, D S, Sobral, M, Stotz, G C, Barbosa, M, Tack, Ayco J. M., Tayal, M, Tooker, J F, Torrico-Bazoberry, D, Tougeron, K, Trowbridge, A M, Utsumi, S, Uyi, O, Vaca-Uribe, J L, Valtonen, A, Barrett, S, van Dijk, L J A, Vandvik, V, Villellas, J, Waller, L P, Weber, M G, Yamawo, A, Yim, S, Zarnetske, P L, Zehr, L N, Zhong, Z, Baskett, C A, Wetzel, W C, Ben-Simchon, E, Bloodworth, K J, Bronstein, J L, Buckley, Y M, Burghardt, K T, Bustos-Segura, C, Calixto, E S, Carvalho, R L, Castagneyrol, B, Chiuffo, M C, Cinoğlu, D, Cinto Mejía, E, Cock, M C, Cogni, R, Cope, O L, Cornelissen, T, Cortez, D R, Crowder, D W, Dallstream, C, Dáttilo, W, Davis, J K, Dimarco, R D, Dole, H E, Egbon, I N, Eisenring, M, Ejomah, A, Elderd, B D, Endara, M-J, Eubanks, M D, Everingham, S E, Farah, K N, Farias, R P, Fernandes, A P, Fernandes, G W, Ferrante, M, Finn, A, Florjancic, G A, Forister, M L, Fox, Q N, Frago, E, França, F M, Getman-Pickering, A S, Getman-Pickering, Z, Gianoli, E, Gooden, B, Gossner, M M, Greig, K A, Gripenberg, S, Groenteman, R, Grof-Tisza, P, Haack, N, Hahn, L, Haq, S M, Helms, A M, Hennecke, J, Hermann, S L, Holeski, L M, Holm, S, Hutchinson, M C, Jackson, E E, Kagiya, S, Kalske, A, Kalwajtys, M, Karban, R, Kariyat, R, Keasar, T, Kersch-Becker, M F, Kharouba, H M, Kim, T N, Kimuyu, D M, Kluse, J, Koerner, S E, Komatsu, K J, Krishnan, S, Laihonen, M, Lamelas-López, L, LaScaleia, M C, Lecomte, N, Lehn, C R, and Li, X
Abstract: Interactions between plants and herbivores are central in most ecosystems, but their strength is highly variable. The amount of variability within a system is thought to influence most aspects of plant-herbivore biology, from ecological stability to plant defense evolution. Our understanding of what influences variability, however, is limited by sparse data. We collected standardized surveys of herbivory for 503 plant species at 790 sites across 116° of latitude. With these data, we show that within-population variability in herbivory increases with latitude, decreases with plant size, and is phylogenetically structured. Differences in the magnitude of variability are thus central to how plant-herbivore biology varies across macroscale gradients. We argue that increased focus on interaction variability will advance understanding of patterns of life on Earth.
Published: 2023

12. Defensa territorial de la biodiversidad por pueblos indígenas en América Latina: Vías legales y espacialidades alternativas

Author: Rivera Núñez, Tlacaelel, Castro Salcido, Elizabeth, Rivera Núñez, Tlacaelel, and Castro Salcido, Elizabeth
Abstract: Indigenous peoples, located in the areas of greatest biodiversity and reservoirs of strategic resources on the planet are subject to both conservation policies and expressions of extractivism, sometimes through paradoxical but pragmatic pacts between the two agendas. To confront this double situation, a growing number of mobilized indigenous peoples in Latin America are establishing strategic alliances with human rights organizations and critical academia in order to take advantage of legal avenues for the defense of their political, economic and cultural self-determination, as well as for the construction of alternative spatialities of environmental stewardship. These horizons of struggle and possibility embrace a territorial understanding of biodiversity in its historical relationality and the sustenance of vital networks of human and more than human interexistence, thus distancing itself from the impositions of nature as a Western logos opposed to culture., Los pueblos indígenas, al emplazarse en las zonas de mayor biodiversidad y reservorios de recursos estratégicos del planeta, son sujetos tanto de las políticas de conservación como de las expresiones de extractivismo, en algunas ocasiones a través de pactos paradójicos, pero pragmáticos, entre ambas agendas. Para hacer frente a esta doble situación, un número creciente de pueblos indígenas movilizados en América Latina están estableciendo alianzas estratégicas con organizaciones defensoras de los derechos humanos y con la academia militante, a fin de aprovechar las vías legales para la defensa de su autodeterminación política, económica y cultural, así como para la construcción de espacialidades alternativas de custodia ambiental. Estos horizontes de lucha y posibilidad acogen un entendimiento territorial de la biodiversidad en su relacionalidad histórica y de sustento de entramados vitales de interexistencia humana y más que humana, distanciándose así de las imposiciones de la naturaleza como un logos occidental opuesto a la cultura.
Published: 2023

13. The FLAMINGO Project: Galaxy clusters in comparison to X-ray observations

Author: Braspenning, Joey, Schaye, Joop, Schaller, Matthieu, McCarthy, Ian G., Kay, Scott T., Helly, John C., Kugel, Roi, Elbers, Willem, Frenk, Carlos S., Kwan, Juliana, Salcido, Jaime, van Daalen, Marcel P., Vandenbroucke, Bert, Braspenning, Joey, Schaye, Joop, Schaller, Matthieu, McCarthy, Ian G., Kay, Scott T., Helly, John C., Kugel, Roi, Elbers, Willem, Frenk, Carlos S., Kwan, Juliana, Salcido, Jaime, van Daalen, Marcel P., and Vandenbroucke, Bert
Abstract: Galaxy clusters are important probes for both cosmology and galaxy formation physics. We test the cosmological, hydrodynamical FLAMINGO simulations by comparing to observations of the gaseous properties of clusters measured from X-ray observations. FLAMINGO contains unprecedented numbers of massive galaxy groups ($>10^6$) and clusters ($>10^5$) and includes variations in both cosmology and galaxy formation physics. We predict the evolution of cluster scaling relations as well as radial profiles of the temperature, density, pressure, entropy, and metallicity for different masses and redshifts. We show that the differences between volume-, and X-ray-weighting of particles in the simulations, and between cool-core non cool-core samples, are similar in size as the differences between simulations for which the stellar and AGN feedback has been calibrated to produce significantly different gas fractions. Compared to thermally-driven AGN feedback, kinetic jet feedback calibrated to produce the same gas fraction at $R_{\rm 500c}$ yields a hotter core with higher entropies and lower densities, which translates into a smaller fraction of cool-core clusters. Stronger feedback, calibrated to produce lower gas fractions and hence lower gas densities, results in higher temperatures, entropies, and metallicities, but lower pressures. The scaling relations and thermodynamic profiles show almost no evolution with respect to self-similar expectations, except for the metallicity decreasing with redshift. We find that the temperature, density, pressure, and entropy profiles of clusters in the fiducial FLAMINGO simulation are in excellent agreement with observations, while the metallicities in the core are too high., Comment: 17 pages, 12 figures (including appendix). Submitted to MNRAS
Published: 2023

14. The FLAMINGO project: Baryonic impact on weak gravitational lensing convergence peak counts

Author: Broxterman, Jeger C., Schaller, Matthieu, Schaye, Joop, Hoekstra, Henk, Kuijken, Konrad, Helly, John C., Kugel, Roi, Braspenning, Joey, Elbers, Willem, Frenk, Carlos S., Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, van Daalen, Marcel P., Vandenbroucke, Bert, Broxterman, Jeger C., Schaller, Matthieu, Schaye, Joop, Hoekstra, Henk, Kuijken, Konrad, Helly, John C., Kugel, Roi, Braspenning, Joey, Elbers, Willem, Frenk, Carlos S., Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, van Daalen, Marcel P., and Vandenbroucke, Bert
Abstract: Weak gravitational lensing convergence peaks, the local maxima in weak lensing convergence maps, have been shown to contain valuable cosmological information complementary to commonly used two-point statistics. To exploit the full power of weak lensing for cosmology, we must model baryonic feedback processes because these reshape the matter distribution on non-linear and mildly non-linear scales. We study the impact of baryonic physics on the number density of weak lensing peaks using the FLAMINGO cosmological hydrodynamical simulation suite. We generate ray-traced full-sky convergence maps mimicking the characteristics of a Stage IV weak lensing survey. We compare the number densities of peaks in simulations that have been calibrated to reproduce the observed galaxy mass function and cluster gas fraction or to match a shifted version of these, and that use either thermally driven or jet AGN feedback. We show that the differences induced by realistic baryonic feedback prescriptions (typically $5 - 30\%$ for $\kappa = 0.1 - 0.4$) are smaller than those induced by reasonable variations in cosmological parameters ($20 - 60\%$ for $\kappa = 0.1 - 0.4$) but must be modeled carefully to obtain unbiased results. The reasons behind these differences can be understood by considering the impact of feedback on halo masses, or by considering the impact of different cosmological parameters on the halo mass function. Our analysis demonstrates that, for the range of models we investigated, the baryonic suppression is insensitive to changes in cosmology up to $\kappa \approx 0.4$ and that the higher $\kappa$ regime is dominated by Poisson noise and cosmic variance., Comment: 18 pages, 12 figures (including the appendix), Accepted for publication in MNRAS
Published: 2023
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15. Inferring the dark matter splashback radius from cluster gas and observable profiles in the FLAMINGO simulations

Author: Towler, Imogen, Kay, Scott T., Schaye, Joop, Kugel, Roi, Schaller, Matthieu, Braspenning, Joey, Elbers, Willem, Frenk, Carlos S., Kwan, Juliana, Salcido, Jaime, van Daalen, Marcel P., Vandenbroucke, Bert, Altamura, Edoardo, Towler, Imogen, Kay, Scott T., Schaye, Joop, Kugel, Roi, Schaller, Matthieu, Braspenning, Joey, Elbers, Willem, Frenk, Carlos S., Kwan, Juliana, Salcido, Jaime, van Daalen, Marcel P., Vandenbroucke, Bert, and Altamura, Edoardo
Abstract: The splashback radius, coinciding with the minimum in the dark matter radial density gradient, is thought to be a universal definition of the edge of a dark matter halo. Observational methods to detect it have traced the dark matter using weak gravitational lensing or galaxy number counts. Recent attempts have also claimed the detection of a similar feature in Sunyaev-Zel'dovich (SZ) observations of the hot intracluster gas. Here, we use the FLAMINGO simulations to investigate whether an extremum gradient in a similar position to the splashback radius is predicted to occur in the cluster gas profiles. We find that the minimum in the gradient of the stacked 3D gas density and pressure profiles, and the maximum in the gradient of the entropy profile, broadly align with the splashback feature though there are significant differences. While the dark matter splashback radius varies with specific mass accretion rate, in agreement with previous work, the radial position of the deepest minimum in the log-slope of the gas density is more sensitive to halo mass. In addition, we show that a similar minimum is also present in projected 2D pseudo-observable profiles: emission measure (X-ray); Compton-$y$ (SZ) and surface mass density (weak lensing). We find that the latter traces the dark matter results reasonably well albeit the minimum occurs at a slightly smaller radius. While results for the gas profiles are largely insensitive to accretion rate and various observable proxies for dynamical state, they do depend on the strength of the feedback processes., Comment: Accepted by MNRAS
Published: 2023

16. Revisiting the effects of baryon physics on small-scale redshift space distortions

Author: Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, Kwan, Juliana, McCarthy, Ian G., and Salcido, Jaime
Abstract: Redshift space distortions are an important probe of the growth of large-scale structure and for constraining cosmological parameters in general. As galaxy redshift surveys approach percent level precision in their observations of the two point clustering statistics, it is timely to review what effects baryons and associated processes such as feedback may have on small-scale clustering in redshift space. Contrary to previous studies in the literature, we show using the large-volume BAHAMAS hydrodynamic simulations that the effect of baryons can be as much as 1% in the k ~ 0.1 h/Mpc range for the monopole and 5% for quadrupole, and that this could rise to as much as 10% at k~10 h/Mpc in both measurements. For the halo power spectra, this difference can be as much 3-4% in the monopole on scales of 0.05 < k < 0.3 h/Mpc for 10^{13} M_sun/h haloes. We find that these deviations can be mitigated to the sub-percent level in the both the monopole and quadrupole up to k ~ 0.3 h/Mpc if the baryon corrected halo masses are used to calculate the redshift space power spectra. Finally, we use the cosmo-OWLS simulation suite to explore the changes in the redshift space power spectra with different feedback prescriptions, finding that there is a maximum of 15-20% difference between the redshift space monopole and quadrupole with and without baryons at k ~1-2 h/Mpc within these models., Comment: 14 pages, 8 figues, submitted to MNRAS
Published: 2023

17. Cosmic-Enu: An emulator for the non-linear neutrino power spectrum

Author: Upadhye, Amol, Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, Moran, Kelly R., Lawrence, Earl, Wong, Yvonne Y. Y., Upadhye, Amol, Kwan, Juliana, McCarthy, Ian G., Salcido, Jaime, Moran, Kelly R., Lawrence, Earl, and Wong, Yvonne Y. Y.
Abstract: Cosmology is poised to measure the neutrino mass sum $M_\nu$ and has identified several smaller-scale observables sensitive to neutrinos, necessitating accurate predictions of neutrino clustering over a wide range of length scales. The FlowsForTheMasses non-linear perturbation theory for the massive neutrino power spectrum, $\Delta^2_\nu(k)$, agrees with its companion N-body simulation at the $10\%-15\%$ level for $k \leq 1~h/$Mpc. Building upon the Mira-Titan IV emulator for the cold matter, we use FlowsForTheMasses to construct an emulator for $\Delta^2_\nu(k)$ covering a large range of cosmological parameters and neutrino fractions $\Omega_{\nu,0} h^2 \leq 0.01$, which corresponds to $M_\nu \leq 0.93$~eV. Consistent with FlowsForTheMasses at the $3.5\%$ level, it returns a power spectrum in milliseconds. Ranking the neutrinos by initial momenta, we also emulate the power spectra of momentum deciles, providing information about their perturbed distribution function. Comparing a $M_\nu=0.15$~eV model to a wide range of N-body simulation methods, we find agreement to $3\%$ for $k \leq 3 k_\mathrm{FS} = 0.17~h/$Mpc and to $19\%$ for $k \leq 0.4~h/$Mpc. We find that the enhancement factor, the ratio of $\Delta^2_\nu(k)$ to its linear-response equivalent, is most strongly correlated with $\Omega_{\nu,0} h^2$, and also with the clustering amplitude $\sigma_8$. Furthermore, non-linearities enhance the free-streaming-limit scaling $\partial \log(\Delta^2_\nu / \Delta^2_{\rm m}) / \partial \log(M_\nu)$ beyond its linear value of 4, increasing the $M_\nu$-sensitivity of the small-scale neutrino density., Comment: 17 pages, 14 figures, 3 tables. Emulator code available at: https://github.com/upadhye/Cosmic-Enu
Published: 2023

18. On the Automatic Generation and Simplification of Children's Stories

Author: Valentini, Maria, Weber, Jennifer, Salcido, Jesus, Wright, Téa, Colunga, Eliana, Kann, Katharina, Valentini, Maria, Weber, Jennifer, Salcido, Jesus, Wright, Téa, Colunga, Eliana, and Kann, Katharina
Abstract: With recent advances in large language models (LLMs), the concept of automatically generating children's educational materials has become increasingly realistic. Working toward the goal of age-appropriate simplicity in generated educational texts, we first examine the ability of several popular LLMs to generate stories with properly adjusted lexical and readability levels. We find that, in spite of the growing capabilities of LLMs, they do not yet possess the ability to limit their vocabulary to levels appropriate for younger age groups. As a second experiment, we explore the ability of state-of-the-art lexical simplification models to generalize to the domain of children's stories and, thus, create an efficient pipeline for their automatic generation. In order to test these models, we develop a dataset of child-directed lexical simplification instances, with examples taken from the LLM-generated stories in our first experiment. We find that, while the strongest-performing current lexical simplification models do not perform as well on material designed for children due to their reliance on large language models behind the scenes, some models that still achieve fairly strong results on general data can mimic or even improve their performance on children-directed data with proper fine-tuning, which we conduct using our newly created child-directed simplification dataset., Comment: Accepted to EMNLP 2023 (main conference)
Published: 2023

19. Retooling Environmental Justice

Author: Salcido, Rachel, Salcido, Rachel, Salcido, Rachel, and Salcido, Rachel
Abstract: This Article responds to environmental justice arguments that undermine, rather than safeguard, health and environmental quality for low-income and minority populations. Efforts by scholars and practitioners to clearly define “environmental injustice” to facilitate use of racial discrimination legal frameworks have had minimal success and are ultimately limiting the ability to embrace a broader arsenal of weapons in the fight against injustice. The greatest weapon of the environmental justice movement is its people. Environmental justice must evolve more rapidly beyond efforts to merely give communities voice, and actually redistribute power and decision making to open up opportunities for social movement intersection. The struggle to define environmental justice is difficult because it attempts to crystalize the efforts of converging social movements that continue. This Article advocates more explicit acceptance of environmental justice as a movement which requires focus on new strategies and tools that address historic pollution and prevent future inequitable environmental impacts. Considering the past, present, and future of environmental justice, this article advocates for expedited cleanups of historically polluted areas, mandatory environmental justice assessments (EJA) in existing planning processes, and robust environmental justice components in local land use plans; these coordinated strategies would empower communities to realize a vison of land use freed of the historic imposition of inequity.
Published: 2021

20. Retooling Environmental Justice

Author: Salcido, Rachel, Salcido, Rachel, Salcido, Rachel, and Salcido, Rachel
Abstract: This Article responds to environmental justice arguments that undermine, rather than safeguard, health and environmental quality for low-income and minority populations. Efforts by scholars and practitioners to clearly define “environmental injustice” to facilitate use of racial discrimination legal frameworks have had minimal success and are ultimately limiting the ability to embrace a broader arsenal of weapons in the fight against injustice. The greatest weapon of the environmental justice movement is its people. Environmental justice must evolve more rapidly beyond efforts to merely give communities voice, and actually redistribute power and decision making to open up opportunities for social movement intersection. The struggle to define environmental justice is difficult because it attempts to crystalize the efforts of converging social movements that continue. This Article advocates more explicit acceptance of environmental justice as a movement which requires focus on new strategies and tools that address historic pollution and prevent future inequitable environmental impacts. Considering the past, present, and future of environmental justice, this article advocates for expedited cleanups of historically polluted areas, mandatory environmental justice assessments (EJA) in existing planning processes, and robust environmental justice components in local land use plans; these coordinated strategies would empower communities to realize a vison of land use freed of the historic imposition of inequity.
Published: 2021

21. Inclusive conservation and the Post-2020 Global Biodiversity Framework : Tensions and prospects

Author: Raymond, Christopher M., Cebrián-Piqueras, Miguel A., Andersson, Erik, Andrade, Riley, Arroyo Schnell, Alberto, Battioni Romanelli, Barbara, Filyushkina, Anna, Goodson, Devin J., Horcea-Milcu, Andra, Johnson, Dana N., Keller, Rose, Kuiper, Jan J., Lo, Veronica, López-Rodríguez, María D., March, Hug, Metzger, Marc, Oteros-Rozas, Elisa, Salcido, Evan, Sellberg, My M., Stewart, William, Ruiz-Mallén, Isabel, Plieninger, Tobias, van Riper, Carena J., Verburg, Peter H., Wiedermann, Magdalena M., Raymond, Christopher M., Cebrián-Piqueras, Miguel A., Andersson, Erik, Andrade, Riley, Arroyo Schnell, Alberto, Battioni Romanelli, Barbara, Filyushkina, Anna, Goodson, Devin J., Horcea-Milcu, Andra, Johnson, Dana N., Keller, Rose, Kuiper, Jan J., Lo, Veronica, López-Rodríguez, María D., March, Hug, Metzger, Marc, Oteros-Rozas, Elisa, Salcido, Evan, Sellberg, My M., Stewart, William, Ruiz-Mallén, Isabel, Plieninger, Tobias, van Riper, Carena J., Verburg, Peter H., and Wiedermann, Magdalena M.
Abstract: The draft Post-2020 Global Biodiversity Framework commits to achievement of equity and justice outcomes and represents a “relational turn” in how we understand inclusive conservation. Although “inclusivity” is drawn on as a means to engage diverse stakeholders, widening the framing of inclusivity can create new tensions with regard to how to manage protected areas. We first offer a set of tensions that emerge in the light of the relational turn in biodiversity conservation. Drawing on global case examples applying multiple methods of inclusive conservation, we then demonstrate that, by actively engaging in the interdependent phases of recognizing hybridity, enabling conditions for reflexivity and partnership building, tensions can not only be acknowledged but softened and, in some cases, reframed when managing for biodiversity, equity, and justice goals. The results can improve stakeholder engagement in protected area management, ultimately supporting better implementation of global biodiversity targets.
Published: 2022
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22. Injury characteristics and hemodynamics associated with guideline-compliant CPR in a pediatric porcine cardiac arrest model.

Author: UCL - SSS/IREC - Institut de recherche expérimentale et clinique, UCL - (SLuc) Service des urgences, Salcido, David D, Koller, Allison C, Genbrugge, Cornelia, Fink, Ericka L, Berg, Robert A, Menegazzi, James J, UCL - SSS/IREC - Institut de recherche expérimentale et clinique, UCL - (SLuc) Service des urgences, Salcido, David D, Koller, Allison C, Genbrugge, Cornelia, Fink, Ericka L, Berg, Robert A, and Menegazzi, James J
Abstract: Guidelines for depth of chest compressions in pediatric cardiopulmonary resuscitation (CPR) are based on sparse evidence. We sought to evaluate the performance of the two most widely recommended chest compression depth levels for pediatric CPR (1.5 in. and 1/3 the anterior-posterior diameter- APd) in a controlled swine model of asphyxial cardiac arrest. We executed a 2-group, randomized laboratory study with an adaptive design allowing early termination for overwhelming injury or benefit. Forty mixed-breed domestic swine (mean weight = 26 kg) were sedated, anesthetized and paralyzed along with endotracheal intubation and mechanical ventilation. Asphyxial cardiac arrest was induced with fentanyl overdose. Animals were untreated for 9 min followed by mechanical CPR with a target depth of 1.5 in. or 1/3 the APd. Advanced life support drugs were administered IV after 4 min of basic resuscitation followed by defibrillation at 14 min. The primary outcomes were return of spontaneous circulation (ROSC), hemodynamics and CPR-related injury severity. Enrollment in the 1/3 APd group was stopped early due to overwhelming differences in injury. Twenty-three animals were assigned to the 1.5 in. group and 15 assigned to the 1/3 APd group, per an adaptive group design. The 1/3 APd group had increased frequency of rib fracture (6.7 vs 1.7, p < 0.001) and higher proportions of several anatomic injury markers than the 1.5 in. group, including sternal fracture, hemothorax and blood in the endotracheal tube (p < 0.001). ROSC and hemodynamic measures were similar between groups. In this pediatric model of cardiac arrest, chest compressions to 1/3APd were more harmful without a concurrent benefit for resuscitation outcomes compared to the 1.5 in. compression group.
Published: 2022

23. UHRF1 overexpression promotes osteosarcoma metastasis through altered exosome production and AMPK/SEMA3E suppression.

Author: Wu, Stephanie C, Wu, Stephanie C, Kim, Ahhyun, Gu, Yijun, Martinez, Daniel I, Zocchi, Loredana, Chen, Claire C, Lopez, Jocelyne, Salcido, Kelsey, Singh, Sarah, Wu, Jie, Nael, Ali, Benavente, Claudia A, Wu, Stephanie C, Wu, Stephanie C, Kim, Ahhyun, Gu, Yijun, Martinez, Daniel I, Zocchi, Loredana, Chen, Claire C, Lopez, Jocelyne, Salcido, Kelsey, Singh, Sarah, Wu, Jie, Nael, Ali, and Benavente, Claudia A
Abstract: Loss-of-function mutations at the retinoblastoma (RB1) gene are associated with increased mortality, metastasis, and poor therapeutic outcome in several cancers, including osteosarcoma. However, the mechanism(s) through which RB1 loss worsens clinical outcome remains understudied. Ubiquitin-like with PHD and Ring Finger domains 1 (UHRF1) has been identified as a critical downstream effector of the RB/E2F signaling pathway that is overexpressed in various cancers. Here, we determined the role and regulatory mechanisms of UHRF1 in rendering osteosarcoma cells more aggressive. Higher UHRF1 expression correlated with malignancy in osteosarcoma cell lines, clinical samples, and genetically engineered mouse models. Gain- and loss-of-function assays revealed that UHRF1 has cell-intrinsic and extrinsic functions promoting cell proliferation, migration, invasion, angiogenesis, and metastasis. UHRF1 overexpression induced angiogenesis by suppressing AMPK activation and Semaphorin 3E (SEMA3E) expression. Further, UHRF1-mediated migration and metastasis resulted, at least in part, through altered expression of extracellular vesicles and their cargo, including urokinase-type plasminogen activator (uPA). Novel osteosarcoma genetically engineered mouse models confirmed that knocking out Uhrf1 considerably decreased metastasis and reversed the poorer survival associated with Rb1 loss. This presents a new mechanistic insight into RB1 loss-associated poor prognosis and novel oncogenic roles of UHRF1 in the regulation of angiogenesis and exosome secretion, both critical for osteosarcoma metastasis. This provides substantial support for targeting UHRF1 or its downstream effectors as novel therapeutic options to improve current treatment for osteosarcoma.
Published: 2022

24. Ethnic-racial socialization, proactive coping with discrimination, and Latinx youth's psychological well-being

Author: Salcido, Valerie V. and Salcido, Valerie V.
Subjects: Hispanic American youth Mental health., Race discrimination Psychological aspects., Adjustment (Psychology) in adolescence., Hispanic Americans Socialization., Adjustment (Psychology) in adolescence., Race discrimination Psychological aspects.
Abstract: "Ethnic-racial discrimination is a salient stressor for Latinx youth that has been associated with a myriad of negative mental health outcomes (Benner et al., 2018). Thus, there is an urgent need to understand how Latinx adolescents cope with discrimination and which strategies relate to psychological well-being, yet there is a dearth of knowledge in the coping literature on how minoritized youth cope with race-based stressors. Moreover, although coping has primarily been studied as a mediator or moderator between the relation of discrimination and health outcomes, less research has investigated the predictors of race-based coping. One factor that has accumulated theoretical support for predicting adaptive coping strategies in response to discrimination is parental ethnic-racial socialization, or the messages that parents communicate to their children about their race/ethnicity and culture. However, there are few empirical studies that have directly tested this link, and of those that have, most were conducted with Black samples. Accordingly, this study used multiple linear regression to examine concurrent and longitudinal relations between ethnic-racial socialization and proactive coping with discrimination and between proactive coping and lower anxiety and depressive symptoms in a community sample of 135 Latinx adolescents living in the southeastern U.S. Results indicate that cultural socialization but not preparation for bias was related to higher endorsement of proactive coping with discrimination. However, this effect was not found over time. Furthermore, proactive coping with discrimination did not predict lower symptomology concurrently but did predict lower depressive and anxiety symptoms six months later."--Abstract from author supplied metadata.
Published: 2022

25. Neuro-wavelet Model for price prediction in high-frequency data in the Mexican Stock market

Author: Reyna Miranda, Montserrat, Massa Roldán, Ricardo, Gómez Salcido, Vicente, Reyna Miranda, Montserrat, Massa Roldán, Ricardo, and Gómez Salcido, Vicente
Abstract: With the availability of high frequency data and new techniques for the management of noise in signals, we revisit the question, can we predict financial asset prices? The present work proposes an algorithm for nextstep log-return prediction. Data in frequencies from 1 to 15 minutes, for 25 high capitalization assets in the Mexican market were used. The model applied consists on a wavelet followed by a Long Short-Term Memory neural network (LSTM). Application of either wavelets or neural networks in finance are common, the novelty comes from the application of the particular architecture proposed. The results show that, on average, the proposed LSTM neuro-wavelet model outperforms both an ARIMA model and a benchmark dense neural network model. We conclude that, although further research (in other stock markets, at higher frequencies, etc.) is in order, given the ever increasing technical capacity of market participants, the inclusion of the LSTM neurowavelet model is a valuable addition to the market participant toolkit, and might pose an advantage to traditional predictive tools. JEL Classification: C45, C53, C88, G14, G17, Modelo de neuro-onda para predicción de precios en datos de alta frecuencia en el Mercado Bursátil Mexicano Con la disponibilidad de datos de alta frecuencia y nuevas técnicas para la filtración de señales, es pertinente preguntarse una vez más ¿podemos predecir los precios de los activos financieros? El presente trabajo propone un algoritmo para la predicción de retorno logarítmico del siguiente periodo. Se usan datos en frecuencias de 1 a 15 minutos, para 25 activos de alta capitalización en el mercado accionario mexicano. El modelo consiste en la aplicación de una wavelet seguida de una red neuronal de tipo Long Short-Term Memory (LSTM). En la literatura comúnmente se encuentra el uso de wavelets o de redes neuronales en aplicaciones financieras, la novedad de nuestro trabajo radica en la arquitectura particular que proponemos. Los resultados muestran que, en promedio, el modelo de neuro-wavelet propuesto supera tanto a un modelo ARIMA como a un modelo de red neuronal densa de referencia. Podemos concluir que, aunque más investigación es necesaria, dada la creciente capacidad técnica actual de los participantes del mercado, la inclusión del modelo LSTM neuro – wavelet al abanico de herramientas disponibles es de mucho valor, pues podría representar una ventaja sobre las herramientas predictivas tradicionales.
Published: 2022

26. Diferencias demográficas de climas motivacionales, necesidades psicológicas básicas y cohesión en jóvenes

Author: Mosqueda Ortiz, Sofía, Ródenas, Luis, Balaguer Solá, Isabel, Salcido Otañez, Yadira Elizabeth, López Walle, Jeanette, Mosqueda Ortiz, Sofía, Ródenas, Luis, Balaguer Solá, Isabel, Salcido Otañez, Yadira Elizabeth, and López Walle, Jeanette
Abstract: The objective of this work is to analyze the behavior of the variables of motivational climate (empowering and disempowering), psychological needs (satisfaction and frustration) and cohesion (task and social) as a function of sex (men and women), nature of physical activity (group-individual sport and physical education) and years of sport experience (4 years or less, 5 years or more); in addition, to analyze the interrelation between the psychological variables. A total of 237 young Mexican athletes (Mage = 12.22, SD = 1.27) of elementary level participated. With respect to the differences according to gender, there were no significant differences; with respect to the nature of the activity, there were differences between all the psychological variables; finally, according to the years of experience, only the empowering climate showed a significant difference, being greater in the athletes with fewer years of experience. In order to be conclusive about these results, further research is needed. Regarding the interaction between variables, there was evidence of a positive relationship between the empowering climate, NPB satisfaction and both cohesions, as well as the disempowering climate and NPB frustration., El objetivo de este trabajo es analizar el comportamiento de las variables de clima motivacional (empowering y disempowering), necesidades psicológicas (satisfacción y frustración) y cohesión (tarea y social) en función del sexo (hombres y mujeres), naturaleza de la actividad física (deporte conjunto-individual y educación física) y años de experiencia deportiva (4 años o menos, 5 años o más); además, analizar la interrelación entre las variables psicológicas. Participaron 237 jóvenes deportistas mexicanos (Medad= 12.22, DT = 1.27) de nivel básico. Con respecto a las diferencias en función del género, no hubo diferencias significativas; en cuanto a la naturaleza de la actividad, se presentaron diferencias entre todas las variables psicológicas; por último, en función de los años de experiencia, únicamente el clima empowering mostró diferencia significativa, siendo mayor en los deportistas con menos años de experiencia. Para poder ser concluyentes en estos resultados es necesario realizar una mayor investigacion. Respecto a la interacción entre variables, se evidencia la relación positiva entre el clima empowering, la satisfacción de las NPB y ambas cohesiones; así como, el clima disempowering y la frustración de las NPB.
Published: 2022

27. Contaminación intramuros, extramuros y su asociación con las manifestaciones clínicas del síndrome del edificio enfermo

Author: Hernández Salcido, Grecia Jaqueline and Hernández Salcido, Grecia Jaqueline
Abstract: Introducción: El Síndrome del Edificio Enfermo se define como los síntomas experimentados por los ocupantes de ambientes interiores específicos. Otros factores pueden influir en este síndrome, como los contaminantes interiores y exteriores. El objetivo del estudio fue determinar la asociación de las manifestaciones clínicas del síndrome del edificio enfermo con el polen, los contaminantes interiores y exteriores del ambiente domiciliario. Métodos: Fue un estudio observacional, transversal y descriptivo que se realizó de noviembre de 2021 a abril de 2022. Incluyó sujetos >18 años que completaron una encuesta en línea sobre el síndrome del edificio enfermo (síntomas generales, síntomas nasales, oculares, orofaríngeos y cutáneos) presentado en casa, información de vivienda e historial personal. Pollen Sense Sensor se utilizó para obtener datos sobre el polen en el aire y el sistema local de monitoreo de la contaminación para obtener información sobre los contaminantes. Para el análisis estadístico se utilizó SPSS versión 24. Resultados: Se incluyeron un total de 402 encuestas; El 91% de los sujetos 9 reportaron tener al menos 1 síntoma, (fatiga 16%) el más frecuente. La humedad en el hogar se asoció con síntomas nasales (p= 0.006) y oculares (p=0.001). Las mujeres (p=0.034), el tabaquismo (p=0.045), el historial de alergias (p<0.001) y vivir en un apartamento (p=0.006) se relacionaron con los síntomas nasales. La fatiga se asoció a los óxidos de nitrógeno (p<0.01), el SO2 se asoció a la picazón en cuero cabelludo (p<0.05) y síntomas cutáneos en manos (p>0.01). El nivel elevado de pólen de Quercus se asoció a los síntomas óculo-nasales (p<0.01) y a picazón en cuero cabelludo. El nivel elevado de pólen de Fraxinus se asoció a síntomas cutáneos en cara (p>0.05). Los niveles elevados de esporas de Aspergillus se asociaron a síntomas óculo-nasales (p>0.05) y picazón de cuero cabelludo (p<0.01). Conclusiones: El síndrome del edificio enfermo se asoció con el polen transporta
Published: 2022

28. Contaminación intramuros, extramuros y su asociación con las manifestaciones clínicas del síndrome del edificio enfermo

Author: Hernández Salcido, Grecia Jaqueline and Hernández Salcido, Grecia Jaqueline
Abstract: Introducción: El Síndrome del Edificio Enfermo se define como los síntomas experimentados por los ocupantes de ambientes interiores específicos. Otros factores pueden influir en este síndrome, como los contaminantes interiores y exteriores. El objetivo del estudio fue determinar la asociación de las manifestaciones clínicas del síndrome del edificio enfermo con el polen, los contaminantes interiores y exteriores del ambiente domiciliario. Métodos: Fue un estudio observacional, transversal y descriptivo que se realizó de noviembre de 2021 a abril de 2022. Incluyó sujetos >18 años que completaron una encuesta en línea sobre el síndrome del edificio enfermo (síntomas generales, síntomas nasales, oculares, orofaríngeos y cutáneos) presentado en casa, información de vivienda e historial personal. Pollen Sense Sensor se utilizó para obtener datos sobre el polen en el aire y el sistema local de monitoreo de la contaminación para obtener información sobre los contaminantes. Para el análisis estadístico se utilizó SPSS versión 24. Resultados: Se incluyeron un total de 402 encuestas; El 91% de los sujetos 9 reportaron tener al menos 1 síntoma, (fatiga 16%) el más frecuente. La humedad en el hogar se asoció con síntomas nasales (p= 0.006) y oculares (p=0.001). Las mujeres (p=0.034), el tabaquismo (p=0.045), el historial de alergias (p<0.001) y vivir en un apartamento (p=0.006) se relacionaron con los síntomas nasales. La fatiga se asoció a los óxidos de nitrógeno (p<0.01), el SO2 se asoció a la picazón en cuero cabelludo (p<0.05) y síntomas cutáneos en manos (p>0.01). El nivel elevado de pólen de Quercus se asoció a los síntomas óculo-nasales (p<0.01) y a picazón en cuero cabelludo. El nivel elevado de pólen de Fraxinus se asoció a síntomas cutáneos en cara (p>0.05). Los niveles elevados de esporas de Aspergillus se asociaron a síntomas óculo-nasales (p>0.05) y picazón de cuero cabelludo (p<0.01). Conclusiones: El síndrome del edificio enfermo se asoció con el polen transporta
Published: 2022

29. Effects of alirocumab on cardiovascular and metabolic outcomes after acute coronary syndrome in patients with or without diabetes: a prespecified analysis of the ODYSSEY OUTCOMES randomised controlled trial

Author: Ray, K, Colhoun, H, Szarek, M, Baccara-Dinet, M, Bhatt, D, Bittner, V, Budaj, A, Diaz, R, Goodman, S, Hanotin, C, Harrington, R, Jukema, J, Loizeau, V, Lopes, R, Moryusef, A, Murin, J, Pordy, R, Ristic, A, Roe, M, Tunon, J, White, H, Zeiher, A, Schwartz, G, Steg, P, Tricoci, P, Mahaffey, K, Edelberg, J, Lecorps, G, Sasiela, W, Tamby, J, Aylward, P, Drexel, H, Sinnaeve, P, Dilic, M, Gotcheva, N, Prieto, J, Yong, H, Lopez-Jaramillo, P, Pecin, I, Reiner, Z, Ostadal, P, Viigimaa, M, Nieminen, M, Chumburidze, V, Marx, N, Danchin, N, Liberopoulos, E, Montenegro Valdovinos, P, Tse, H, Kiss, R, Xavier, D, Zahger, D, Valgimigli, M, Kimura, T, Kim, H, Kim, S, Erglis, A, Laucevicius, A, Kedev, S, Yusoff, K, Ramos Lopez, G, Alings, M, Halvorsen, S, Correa Flores, R, Morais, J, Dorobantu, M, Karpov, Y, Chua, T, Fras, Z, Dalby, A, de Silva, H, Hagstrom, E, Landmesser, U, Chiang, C, Sritara, P, Guneri, S, Parkhomenko, A, Moriarty, P, Vogel, R, Chaitman, B, Kelsey, S, Olsson, A, Rouleau, J, Simoons, M, Alexander, K, Meloni, C, Rosenson, R, Sijbrands, E, Alexander, J, Armaganijan, L, Bagai, A, Bahit, M, Brennan, J, Clifton, S, Devore, A, Deloatch, S, Dickey, S, Dombrowski, K, Ducrocq, G, Eapen, Z, Endsley, P, Eppinger, A, Harrison, R, Hess, C, Hlatky, M, Jordan, J, Knowles, J, Kolls, B, Kong, D, Leonardi, S, Lillis, L, Maron, D, Marcus, J, Mathews, R, Mehta, R, Mentz, R, Moreira, H, Patel, C, Bernardez-Pereira, S, Perkins, L, Povsic, T, Puymirat, E, Schuyler Jones, W, Shah, B, Sherwood, M, Stringfellow, K, Sujjavanich, D, Toma, M, Trotter, C, Van Diepen, S, Wilson, M, Yan, A, Schiavi, L, Garrido, M, Alvarisqueta, A, Sassone, S, Bordonava, A, Alves De Lima, A, Schmidberg, J, Duronto, E, Caruso, O, Novaretto, L, Hominal, M, Montana, O, Caccavo, A, Gomez Vilamajo, O, Lorenzatti, A, Cartasegna, L, Paterlini, G, Mackinnon, I, Caime, G, Amuchastegui, M, Salomone, O, Codutti, O, Jure, H, Bono, J, Hrabar, A, Vallejos, J, Ahuad Guerrero, R, Novoa, F, Patocchi, C, Zaidman, C, Giuliano, M, Dran, R, Vico, M, Carnero, G, Guzman, P, Medrano Allende, J, Garcia Brasca, D, Bustamante Labarta, M, Nani, S, Blumberg, E, Colombo, H, Liberman, A, Fuentealba, V, Luciardi, H, Waisman, G, Berli, M, Garcia Duran, R, Cestari, H, Luquez, H, Giordano, J, Saavedra, S, Zapata, G, Costamagna, O, Llois, S, Waites, J, Collins, N, Soward, A, Hii, C, Shaw, J, Arstall, M, Horowitz, J, Ninio, D, Rogers, J, Colquhoun, D, Oqueli Flores, R, Roberts-Thomson, P, Raffel, O, Lehman, S, Aroney, C, Coverdale, S, Garrahy, P, Starmer, G, Sader, M, Carroll, P, Dick, R, Zweiker, R, Hoppe, U, Huber, K, Berger, R, Delle-Karth, G, Frey, B, Weidinger, F, Faes, D, Hermans, K, Pirenne, B, Leone, A, Hoffer, E, Vrolix, M, De Wolf, L, Wollaert, B, Castadot, M, Dujardin, K, Beauloye, C, Vervoort, G, Striekwold, H, Convens, C, Roosen, J, Barbato, E, Claeys, M, Cools, F, Terzic, I, Barakovic, F, Midzic, Z, Pojskic, B, Fazlibegovic, E, Kulic, M, Durak-Nalbantic, A, Vulic, D, Muslibegovic, A, Goronja, B, Reis, G, Sousa, L, Nicolau, J, Giorgeto, F, Silva, R, Nigro Maia, L, Rech, R, Rossi, P, Cerqueira, M, Duda, N, Kalil, R, Kormann, A, Abrantes, J, Pimentel Filho, P, Soggia, A, de Santos, M, Neuenschwander, F, Bodanese, L, Michalaros, Y, Eliaschewitz, F, Vidotti, M, Leaes, P, Botelho, R, Kaiser, S, Manenti, E, Precoma, D, Moura Jorge, J, de B Silva, P, Silveira, J, Saporito, W, Marin-Neto, J, Feitosa, G, Ritt, L, de Souza, J, Costa, F, Souza, W, Reis, H, Machado, L, Ayoub, J, Todorov, G, Nikolov, F, Velcheva, E, Tzekova, M, Benov, H, Petranov, S, Tumbev, H, Shehova-Yankova, N, Markov, D, Raev, D, Mollov, M, Kichukov, K, Ilieva-Pandeva, K, Ivanova, R, Gospodinov, M, Mincheva, V, Lazov, P, Dimov, B, Senaratne, M, Stone, J, Kornder, J, Pearce, S, Dion, D, Savard, D, Pesant, Y, Pandey, A, Robinson, S, Gosselin, G, Vizel, S, Hoag, G, Bourgeois, R, Morisset, A, Sabbah, E, Sussex, B, Kouz, S, Macdonald, P, Diaz, A, Michaud, N, Fell, D, Leung, R, Vuurmans, T, Lai, C, Nigro, F, Davies, R, Nogareda, G, Vijayaraghavan, R, Ducas, J, Lepage, S, Mehta, S, Cha, J, Dupuis, R, Fong, P, Lutchmedial, S, Rodes-Cabau, J, Fadlallah, H, Cleveland, D, Huynh, T, Bata, I, Hameed, A, Pincetti, C, Potthoff, S, Acevedo, M, Aguirre, A, Vejar, M, Yanez, M, Araneda, G, Fernandez, M, Perez, L, Varleta, P, Florenzano, F, Huidobro, L, Raffo, C, Olivares, C, Nahuelpan, L, Montecinos, H, Chen, J, Dong, Y, Huang, W, Wang, J, Huang, S, Yao, Z, Li, X, Cui, L, Lin, W, Sun, Y, Li, J, Zhang, X, Zhu, H, Chen, D, Huang, L, Dong, S, Su, G, Xu, B, Su, X, Cheng, X, Lin, J, Zong, W, Li, H, Feng, Y, Xu, D, Yang, X, Ke, Y, Lin, X, Zhang, Z, Zheng, Z, Luo, Z, Chen, Y, Ding, C, Zhong, Y, Zheng, Y, Peng, D, Zhao, S, Li, Y, Liu, X, Wei, M, Liu, S, Yu, Y, Qu, B, Jiang, W, Zhou, Y, Zhao, X, Yuan, Z, Guo, Y, Xu, X, Shi, X, Ge, J, Fu, G, Bai, F, Fang, W, Shou, X, Xiang, M, Lu, Q, Zhang, R, Zhu, J, Xu, Y, Fan, Z, Li, T, Wu, C, Jaramillo, N, Sanchez Vallejo, G, Luna Botia, D, Botero Lopez, R, Molina De Salazar, D, Cadena Bonfanti, A, Cotes Aroca, C, Diego Higuera, J, Blanquicett, M, Barrera Silva, S, Garcia Lozada, H, Coronel Arroyo, J, Accini Mendoza, J, Fernandez Ruiz, R, Quintero Ossa, A, Manzur Jatin, F, Sotomayor Herazo, A, Castellanos Parada, J, Suarez Arambula, R, Urina Triana, M, Fernandez Trujillo, A, Strozzi, M, Car, S, Jeric, M, Milicic, D, Bencic, M, Pintaric, H, Prvulovic, D, Sikic, J, Persic, V, Mileta, D, Stambuk, K, Babic, Z, Tomulic, V, Lukenda, J, Mejic-Krstulovic, S, Starcevic, B, Spinar, J, Horak, D, Velicka, Z, Stasek, J, Alan, D, Machova, V, Linhart, A, Novotny, V, Kaucak, V, Rokyta, R, Naplava, R, Coufal, Z, Adamkova, V, Podpera, I, Zizka, J, Motovska, Z, Marusincova, I, Svab, P, Heinc, P, Kuchar, J, Povolny, P, Matuska, J, Poulsen, S, Raungaard, B, Clemmensen, P, Bang, L, May, O, Bottcher, M, Hove, J, Frost, L, Gislason, G, Larsen, J, Betton Johansen, P, Hald, F, Johansen, P, Jeppesen, J, Nielsen, T, Kristensen, K, Walichiewicz, P, Lomholdt, J, Klausen, I, Nielsen, P, Davidsen, F, Videbaek, L, Soots, M, Vahula, V, Hedman, A, Soopold, U, Martsin, K, Jurgenson, T, Kristjan, A, Helsinki, J, Vikman, S, Huikuri, H, Airaksinen, J, Coste, P, Ferrari, E, Morel, O, Montalescot, G, Machecourt, J, Barone-Rochette, G, Mansourati, J, Cottin, Y, Leclercq, F, Belhassane, A, Delarche, N, Boccara, F, Paganelli, F, Clerc, J, Schiele, F, Aboyans, V, Probst, V, Berland, J, Lefevre, T, Citron, B, Khintibidze, I, Shaburishvili, T, Pagava, Z, Ghlonti, R, Lominadze, Z, Khabeishvili, G, Hemetsberger, R, Edward, K, Rauch-Krohnert, U, Stratmann, M, Appel, K, Schmidt, E, Omran, H, Stellbrink, C, Dorsel, T, Lianopoulos, E, Vohringer, H, Marx, R, Zirlik, A, Schellenberg, D, Heitzer, T, Laufs, U, Werner, C, Gielen, S, Nuding, S, Winkelmann, B, Behrens, S, Sydow, K, Karakas, M, Simonis, G, Muenzel, T, Werner, N, Leggewie, S, Bocker, D, Braun-Dullaeus, R, Toursarkissian, N, Jeserich, M, Weissbrodt, M, Schaeufele, T, Weil, J, Voller, H, Waltenberger, J, Natour, M, Schmitt, S, Muller-Wieland, D, Steiner, S, Heidenreich, L, Offers, E, Gremmler, U, Killat, H, Rieker, W, Patsilinakos, S, Kartalis, A, Manolis, A, Sionis, D, Chachalis, G, Skoumas, I, Athyros, V, Vardas, P, Parthenakis, F, Alexopoulos, D, Hahalis, G, Lekakis, J, Hatzitolios, A, Fausto Ovando, S, Arango Benecke, J, Rodriguez De Leon, E, Yan, B, Siu, D, Turi, T, Merkely, B, Ungi, I, Lupkovics, G, Nagy, L, Katona, A, Edes, I, Muller, G, Horvath, I, Kapin, T, Szigeti, Z, Falukozy, J, Kumbla, M, Sandhu, M, Annam, S, Proddutur, N, Regella, R, Premchand, R, Mahajan, A, Pawar, S, Abhyanakar, A, Kerkar, P, Govinda, R, Oomman, A, Sinha, D, Patil, S, Kahali, D, Sawhney, J, Joshi, A, Chaudhary, S, Harkut, P, Guha, S, Porwal, S, Jujjuru, S, Pothineni, R, Monteiro, M, Khan, A, Iyengar, S, Grewal, J, Chopda, M, Fulwani, M, Patange, A, Sachin, P, Chopra, V, Goyal, N, Shinde, R, Manakshe, G, Patki, N, Sethi, S, Munusamy, V, Karna, S, Thanvi, S, Adhyapak, S, Patil, C, Pandurangi, U, Mathur, R, Gupta, J, Kalashetti, S, Bhagwat, A, Raghuraman, B, Yerra, S, Bhansali, P, Borse, R, Rahul, P, Das, S, Kumar, V, Abdullakutty, J, Saathe, S, Palimkar, P, Sathe, S, Atar, S, Shechter, M, Mosseri, M, Arbel, Y, Ehud, C, Ofer, H, Lotan, C, Rosenschein, U, Katz, A, Henkin, Y, Francis, A, Klutstein, M, Nikolsky, E, Zukermann, R, Turgeman, Y, Halabi, M, Marmor, A, Kornowski, R, Jonas, M, Amir, O, Hasin, Y, Rozenman, Y, Fuchs, S, Zvi, V, Hussein, O, Gavish, D, Vered, Z, Caraco, Y, Elias, M, Tov, N, Wolfovitz, E, Lishner, M, Elias, N, Piovaccari, G, De Pellegrin, A, Garbelotto, R, Guardigli, G, Marco, V, Licciardello, G, Auguadro, C, Scalise, F, Cuccia, C, Salvioni, A, Musumeci, G, Senni, M, Calabro, P, Novo, S, Faggiano, P, Metra, M, De Cesare, N, Berti, S, Cavallini, C, Puccioni, E, Galvani, M, Tespili, M, Piatti, P, Palvarini, M, De Luca, G, Violini, R, De Leo, A, Olivari, Z, Perrone Filardi, P, Ferratini, M, Racca, V, Dai, K, Shimatani, Y, Kamiya, H, Ando, K, Takeda, Y, Morino, Y, Hata, Y, Kimura, K, Kishi, K, Michishita, I, Uehara, H, Higashikata, T, Hirayama, A, Hirooka, K, Doi, Y, Sakagami, S, Taguchi, S, Koike, A, Fujinaga, H, Koba, S, Kozuma, K, Kawasaki, T, Ono, Y, Shimizu, M, Katsuda, Y, Wada, A, Shinke, T, Ako, J, Fujii, K, Takahashi, T, Sakamoto, T, Nakao, K, Furukawa, Y, Sugino, H, Tamura, R, Mano, T, Uematsu, M, Utsu, N, Ito, K, Haraguchi, T, Sato, K, Ueda, Y, Nishibe, A, Fujimoto, K, Masutani, M, Yoon, J, Park, H, Chae, I, Kim, M, Jeong, M, Rha, S, Kim, C, Hong, T, Tahk, S, Kim, Y, Busmane, A, Pontaga, N, Strelnieks, A, Mintale, I, Sime, I, Petrulioniene, Z, Kavaliauskiene, R, Jurgaitiene, R, Sakalyte, G, Slapikas, R, Norkiene, S, Misonis, N, Kibarskis, A, Kubilius, R, Bojovski, S, Lozance, N, Kjovkaroski, A, Doncovska, S, Ong, T, Kasim, S, Maskon, O, Kandasamy, B, Liew, H, Wan Mohamed, W, Garcia Castillo, A, Carrillo Calvillo, J, Fajardo Campos, P, Nunez Fragoso, J, Bayram Llamas, E, Alcocer Gamba, M, Carranza Madrigal, J, Gonzalez Salas, L, Lopez Rosas, E, Gonzalez Diaz, B, Salcido Vazquez, E, Nacoud Ackar, A, Llamas Esperon, G, Martinez Sanchez, C, Guerrero De Leon, M, Suarez Otero, R, Fanghanel Salmon, G, Perez Rios, J, Garza Ruiz, J, Breedveld, R, Feenema-Aardema, M, Borger-Van Der Burg, A, Hoogslag, P, Suryapranata, H, Oomen, A, Van Haelst, P, Wiersma, J, Basart, D, Van Der Wal, R, Zwart, P, Monraats, P, Van Kesteren, H, Karalis, I, Verdel, G, Brueren, B, Troquay, R, Viergever, E, Al-Windy, N, Bartels, G, Cornel, J, Hermans, W, Herrman, J, Bos, R, Groutars, R, Van Der Zwaan, C, Kaplan, R, Lionarons, R, Ronner, E, Groenemeijer, B, Bronzwaer, P, Liem, A, Rensing, B, Bokern, M, Nijmeijer, R, Hersbach, F, Willems, F, Gosselink, A, Rasoul, S, Elliott, J, Wilkins, G, Fisher, R, Scott, D, Hart, H, Stewart, R, Harding, S, Ternouth, I, Fisher, N, Wilson, S, Aitken, D, Anscombe, R, Davidson, L, Tomala, T, Nygard, O, Sparby, J, Andersen, K, Gullestad, L, Jortveit, J, Munk, P, Singsaas, E, Hurtig, U, Calderon Ticona, J, Durand Velasquez, J, Negron Miguel, S, Sanabria Perez, E, Carrion Chambilla, J, Chavez Ayala, C, Castillo Leon, R, Vargas Gonzales, R, Hernandez Zuniga, J, Camacho Cosavalente, L, Bravo Mannucci, J, Heredia Landeo, J, Llerena Navarro, N, Roldan Concha, Y, Rodriguez Chavez, V, Anchante Hernandez, H, Zea Nunez, C, Mogrovejo Ramos, W, Ferrolino, A, Sy, R, Tirador, L, Matiga, G, Coching, R, Bernan, A, Rogelio, G, Morales, D, Tan, E, Sulit, D, Wlodarczak, A, Jaworska, K, Skonieczny, G, Pawlowicz, L, Wojewoda, P, Busz-Papiez, B, Bednarski, J, Goch, A, Staneta, P, Dulak, E, Saminski, K, Krasowski, W, Sudnik, W, Zurakowski, A, Skorski, M, Miklaszewicz, B, Kubica, J, Andrzej Lipko, J, Kostarska-Srokosz, E, Piepiorka, M, Drzewiecka, A, Stasiewski, A, Blicharski, T, Bystryk, L, Szpajer, M, Korol, M, Czerski, T, Mirek-Bryniarska, E, Gniot, J, Lubinski, A, Gorny, J, Franek, E, Raczak, G, Szwed, H, Monteiro, P, Mesquita Bastos, J, Pereira, H, Martins, D, Seixo, F, Mendonca, C, Botelho, A, Caetano, F, Minescu, B, Istratoaie, O, Tesloianu, D, Cristian, G, Dumitrescu, S, Podoleanu, C, Constantinescu, M, Bengus, C, Militaru, C, Rosu, D, Parepa, I, Matei, A, Alexandru, T, Malis, M, Coman, I, Stanescu-Cioranu, R, Dimulescu, D, Shvarts, Y, Orlikova, O, Kobalava, Z, Barbarash, O, Markov, V, Lyamina, N, Gordienko, A, Zrazhevsky, K, Vishnevsky, A, Gurevich, V, Stryuk, R, Lomakin, N, Bokarev, I, Khlevchuk, T, Shalaev, S, Khaisheva, L, Chizhov, P, Viktorova, I, Osokina, N, Shchekotov, V, Akatova, E, Chumakova, G, Libov, I, Voevoda, M, Tretyakova, T, Baranov, E, Shustov, S, Yakushin, S, Gordeev, I, Khasanov, N, Reshetko, O, Sotnikova, T, Molchanova, O, Nikolaev, K, Gapon, L, Baranova, E, Shogenov, Z, Kosmachova, E, Povzun, A, Egorova, L, Tyrenko, V, Ivanov, I, Ilya, M, Kanorsky, S, Simic, D, Ivanovic, N, Davidovic, G, Tasic, N, Asanin, M, Stojic, S, Apostolovic, S, Ilic, S, Putnikovic Tosic, B, Stankovic, A, Arandjelovic, A, Radovanovic, S, Todic, B, Balinovac, J, Dincic, D, Seferovic, P, Karadzic, A, Dodic, S, Dimkovic, S, Jakimov, T, Poh, K, Ong, H, Tang I-Shing, J, Micko, K, Nociar, J, Pella, D, Fulop, P, Hranai, M, Palka, J, Mazur, J, Majercak, I, Dzupina, A, Fazekas, F, Gonsorcik, J, Bugan, V, Selecky, J, Kamensky, G, Strbova, J, Smik, R, Dukat, A, Zuran, I, Poklukar, J, Cernic Suligoj, N, Cevc, M, Cyster, H, Ranjith, N, Corbett, C, Bayat, J, Makotoko, E, du Toit Theron, H, Kapp, I, de V Basson, M, Lottering, H, Van Aswegen, D, Van Zyl, L, Sebastian, P, Pillay, T, Saaiman, J, Commerford, P, Cassimjee, S, Riaz, G, Ebrahim, I, Sarvan, M, Mynhardt, J, Reuter, H, Moodley, R, Vida, M, Cequier Fillat, A, Bodi Peris, V, Fuentes Jimenez, F, Marin, F, Cruz Fernandez, J, Hidalgo Urbano, R, Gil-Extremera, B, Toledo, P, Worner Diz, F, Garcia-Dorado, D, Iniguez, A, Gonzalez-Juanatey, J, Fernandez Portales, J, Civeira Murillo, F, Matas Pericas, L, Zamorano, J, De Mora Martin, M, Bruguera Cortada, J, Alonso Martin, J, Serrano Antolin, J, De Berrazueta Fernandez, J, Vazquez de Prada, J, Diaz Fernandez, J, Garcia Lledo, J, Cosin Sales, J, Botas Rodriguez, J, Gusi Tragant, G, Benedicto, A, Gonzalez-Juanatey, C, Camprubi Potau, M, Plaza Perez, I, De La Tassa, C, Loma-Osorio Rincon, P, Balaguer Recena, J, Escudier, J, Payeras, A, Alonso Orcajo, N, Valdivielso, P, Constantine, G, Haniffa, R, Tissera, N, Amarasekera, S, Ponnamperuma, C, Fernando, N, Fernando, K, Jayawardena, J, Wijeyasingam, S, Ranasinghe, G, Ekanayaka, R, Mendis, S, Senaratne, V, Mayurathan, G, Sirisena, T, Rajapaksha, A, Herath, J, Amarasena, N, Berglund, S, Rasmanis, G, Vedin, O, Witt, N, Mourtzinis, G, Nicol, P, Hansen, O, Romeo, S, Agergaard Jensen, S, Torstensson, I, Ahremark, U, Sundelin, T, Moccetti, T, Muller, C, Mach, F, Binde, R, Tsai, W, Ueng, K, Lai, W, Liu, M, Hwang, J, Yin, W, Hsieh, I, Hsieh, M, Kuo, J, Huang, T, Fang, C, Kaewsuwanna, P, Soonfuang, W, Jintapakorn, W, Sukonthasarn, A, Wongpraparut, N, Sastravaha, K, Sansanayudh, N, Kehasukcharoen, W, Piyayotai, D, Chotnoparatpat, P, Camsari, A, Kultursay, H, Mutlu, B, Ersanli, M, Demirtas, M, Kirma, C, Ural, E, Koldas, L, Karpenko, O, Prokhorov, A, Vakaluyk, I, Myshanych, H, Reshotko, D, Batushkin, V, Rudenko, L, Kovalskyi, I, Kushnir, M, Tseluyko, V, Mostovoy, Y, Stanislavchuk, M, Kyiak, Y, Karpenko, Y, Malynovsky, Y, Klantsa, A, Kutniy, O, Amosova, E, Tashchuk, V, Leshchuk, O, Rishko, M, Kopytsya, M, Yagensky, A, Vatutin, M, Bagriy, A, Barna, O, Ushakov, O, Dzyak, G, Goloborodko, B, Rudenko, A, Zheleznyy, V, Trevelyan, J, Zaman, A, Lee, K, Moriarty, A, Aggarwal, R, Clifford, P, Wong, Y, Iqbal, S, Subkovas, E, Braganza, D, Sarkar, D, Storey, R, Griffiths, H, Mcclure, S, Muthusamy, R, Smith, S, Kurian, J, Levy, T, Barr, C, Kadr, H, Gerber, R, Simaitis, A, Soran, H, Mathur, A, Brodison, A, Ayaz, M, Cheema, M, Oliver, R, Thackray, S, Mudawi, T, Rahman, G, Sultan, A, Sharman, D, Sprigings, D, Butler, R, Wilkinson, P, Lip, G, Halcox, J, Gallagher, S, Ossei-Gerning, N, Vardi, G, Baldari, D, Brabham, D, Treasure II, C, Dahl, C, Palmer, B, Wiseman, A, Puri, S, Mohart, A, Ince, C, Flores, E, Wright, S, Cheng, S, Rosenberg, M, Rogers, W, Kosinski, E, Forgosh, L, Waltman, J, Khan, M, Shoukfeh, M, Dagher, G, Cambier, P, Lieber, I, Kumar, P, East, C, Krichmar, P, Hasan, M, White, L, Knickelbine, T, Haldis, T, Gillespie, E, Amidon, T, Suh, D, Arif, I, Abdallah, M, Akhter, F, Carlson, E, D'Urso, M, El-Ahdab, F, Nelson, W, Moriarty, K, Harris, B, Cohen, S, Carter, L, Doty, D, Sabatino, K, Haddad, T, Malik, A, Rao, S, Mulkay, A, Jovin, I, Klancke, K, Malhotra, V, Devarapalli, S, Koren, M, Chandna, H, Dodds III, G, Goraya, T, Bengston, J, Janik, M, Moran, J, Sumner, A, Kobayashi, J, Davis, W, Yazdani, S, Pasquini, J, Thakkar, M, Vedere, A, Leimbach, W, Rider, J, Fenton, S, Singh, N, Shah, A, Janosik, D, Pepine, C, Berman, B, Gelormini, J, Daniels, C, Richard, K, Keating, F, Kondo, N, Shetty, S, Levite, H, Waider, W, Takata, T, Abu-Fadel, M, Shah, V, Izzo, M, Kumar, A, Hattler, B, Do, R, Link, C, Bortnick, A, Kinzfogl III, G, Ghitis, A, Larry, J, Teufel, E, Kuhlman, P, Mclaurin, B, Zhang, W, Thew, S, Abbas, J, White, M, Islam, O, Subherwal, S, Ranadive, N, Vakili, B, Gring, C, Henderson, D, Schuchard, T, Farhat, N, Kline, G, Mahal, S, Whitaker, J, Speirs, S, Andersen, R, Daboul, N, Horwitz, P, Zahr, F, Ponce, G, Jafar, Z, Mcgarvey, J, Panchal, V, Voyce, S, Blok, T, Sheldon, W, Azizad, M, Schmalfuss, C, Picone, M, Pederson, R, Herzog, W, Friedman, K, Lindsey, J, Nowins, R, Timothy, E, Leonard, P, Lepor, N, El Shahawy, M, Weintraub, H, Irimpen, A, Alonso, A, May, W, Christopher, D, Galski, T, Chu, A, Mody, F, Ramin, E, Hodes, Z, Rossi, J, Rose, G, Fairlamb, J, Lambert, C, Raisinghani, A, Abbate, A, Vetrovec, G, King, M, Carey, C, Gerber, J, Younis, L, Vidovich, M, Knutson, T, Friedman, D, Chaleff, F, Loussararian, A, Rozeman, P, Kimmelstiel, C, Kuvin, J, Silver, K, Foster, M, Tonnessen, G, Espinoza, A, Amlani, M, Wali, A, Malozzi, C, Jong, G, Massey, C, Wattanakit, K, O'Donnell, P, Singal, D, Jaffrani, N, Banuru, S, Fisher, D, Xenakis, M, Perlmutter, N, Bhagwat, R, Strader, J, Blonder, R, Akyea-Djamson, A, Labroo, A, Marais, H, Claxton, E, Weiss, R, Kathryn, R, Berk, M, Joshi, P, Khera, A, Khaira, A, Kumkumian, G, Lupovitch, S, Purow, J, Welka, S, Hoffman, D, Fischer, S, Soroka, E, Eagerton, D, Pancholy, S, Ray, M, Erenrich, N, Farrar, M, Pollock, S, French, W, Diamantis, S, Guy, D, Gimple, L, Neustel, M, Schwartz, S, Pereira, E, Albert, S, Spriggs, D, Strain, J, Mittal, S, Vo, A, Chane, M, Hall, J, Vijay, N, Lotun, K, Lester, F, Nahhas, A, Pope, T, Nager, P, Vohra, R, Sharma, M, Bashir, R, Ahmed, H, Berlowitz, M, Fishberg, R, Barrucco, R, Yang, E, Radin, M, Sporn, D, Stapleton, D, Eisenberg, S, Landzberg, J, Mcgough, M, Turk, S, Schwartz, M, Sundram, P, Jain, D, Zainea, M, Bayron, C, Karlsberg, R, Dohad, S, Lui, H, Keen, W, Westerhausen, D, Khurana, S, Agarwal, H, Birchem, J, Penny, W, Chang, M, Murphy, S, Henry, J, Schifferdecker, B, Gilbert, J, Chalavarya, G, Eaton, C, Schmedtje, J, Christenson, S, Dotani, I, Denham, D, Macdonell, A, Gibson, P, Rahman, A, Al Joundi, T, Assi, N, Conrad, G, Kotha, P, Love, M, Giesler, G, Rubenstein, H, Gamil, D, Akright, L, Krawczyk, J, Cobler, J, Wells, T, Welker, J, Foster, R, Gilmore, R, Anderson, J, Jacoby, D, Gardner, G, Dandillaya, R, Vora, K, Kostis, J, Hunter, J, Laxson, D, Ball, E, Egydio, F, Kawakami, A, Oliveira, J, Wozniak, J, Matthews, A, Ratky, C, Valiris, J, Berdan, L, Hepditch, A, Quintero, K, Rorick, T, Westbrook, M, Pascual, A, Rovito, C, Bezault, M, Drouet, E, Simon, T, Alsweiler, C, Luyten, A, Butters, J, Griffith, L, Shaw, M, Grunberg, L, Islam, S, Bregeault, M, Bougon, N, Faustino, D, Fontecave, S, Murphy, J, Verrier, M, Agnetti, V, Andersen, D, Badreddine, E, Bekkouche, M, Bouancheau, C, Brigui, I, Brocklehurst, M, Cianciarulo, J, Devaul, D, Domokos, S, Gache, C, Gobillot, C, Guillou, S, Healy, J, Heath, M, Jaiwal, G, Javierre, C, Labeirie, J, Monier, M, Morales, U, Mrabti, A, Mthombeni, B, Okan, B, Smith, L, Sheller, J, Sopena, S, Pellan, V, Benbernou, F, Bengrait, N, Lamoureux, M, Kralova, K, Scemama, M, Bejuit, R, Coulange, A, Berthou, C, Repincay, J, Lorenzato, C, Etienne, A, Gouet, V, Normand, M, Ourliac, A, Rondel, C, Adamo, A, Beltran, P, Barraud, P, Dubois-Gache, H, Halle, B, Metwally, L, Mourgues, M, Sotty, M, Vincendet, M, Cotruta, R, Chengyue, Z, Fournie-Lloret, D, Morrello, C, Perthuis, A, Picault, P, Zobouyan, I, Dempsey, M, Mcclanahan, M, Ray K. K., Colhoun H. M., Szarek M., Baccara-Dinet M., Bhatt D. L., Bittner V. A., Budaj A. J., Diaz R., Goodman S. G., Hanotin C., Harrington R. A., Jukema J. W., Loizeau V., Lopes R. D., Moryusef A., Murin J., Pordy R., Ristic A. D., Roe M. T., Tunon J., White H. D., Zeiher A. M., Schwartz G. G., Steg P. G., Tricoci P., Mahaffey K. W., Edelberg J. M., Lecorps G., Sasiela W. J., Tamby J. -F., Aylward P. E., Drexel H., Sinnaeve P., Dilic M., Gotcheva N. N., Prieto J. -C., Yong H., Lopez-Jaramillo P., Pecin I., Reiner Z., Ostadal P., Viigimaa M., Nieminen M. S., Chumburidze V., Marx N., Danchin N., Liberopoulos E., Montenegro Valdovinos P. C., Tse H. -F., Kiss R. G., Xavier D., Zahger D., Valgimigli M., Kimura T., Kim H. S., Kim S. -H., Erglis A., Laucevicius A., Kedev S., Yusoff K., Ramos Lopez G. A., Alings M., Halvorsen S., Correa Flores R. M., Morais J., Dorobantu M., Karpov Y., Chua T., Fras Z., Dalby A. J., de Silva H. A., Hagstrom E., Landmesser U., Chiang C. -E., Sritara P., Guneri S., Parkhomenko A., Moriarty P. M., Vogel R., Chaitman B., Kelsey S. F., Olsson A. G., Rouleau J. -L., Simoons M. L., Alexander K., Meloni C., Rosenson R., Sijbrands E. J. G., Alexander J. H., Armaganijan L., Bagai A., Bahit M. C., Brennan J. M., Clifton S., DeVore A. D., Deloatch S., Dickey S., Dombrowski K., Ducrocq G., Eapen Z., Endsley P., Eppinger A., Harrison R. W., Hess C. N., Hlatky M. A., Jordan J. D., Knowles J. W., Kolls B. J., Kong D. F., Leonardi S., Lillis L., Maron D. J., Marcus J., Mathews R., Mehta R. H., Mentz R. J., Moreira H. G., Patel C. B., Bernardez-Pereira S., Perkins L., Povsic T. J., Puymirat E., Schuyler Jones W., Shah B. R., Sherwood M. W., Stringfellow K., Sujjavanich D., Toma M., Trotter C., Van Diepen S., Wilson M. D., Yan A. T., Schiavi L. B., Garrido M., Alvarisqueta A. F., Sassone S. A., Bordonava A. P., Alves De Lima A. E., Schmidberg J. M., Duronto E. A., Caruso O. C., Novaretto L. P., Hominal M. A., Montana O. R., Caccavo A., Gomez Vilamajo O. A., Lorenzatti A. J., Cartasegna L. R., Paterlini G. A., Mackinnon I. J., Caime G. D., Amuchastegui M., Salomone O., Codutti O. R., Jure H. O., Bono J. O., Hrabar A. D., Vallejos J. A., Ahuad Guerrero R. A., Novoa F., Patocchi C. A., Zaidman C. J., Giuliano M. E., Dran R. D., Vico M. L., Carnero G. S., Guzman P. N., Medrano Allende J. C., Garcia Brasca D. F., Bustamante Labarta M. H., Nani S., Blumberg E. D., Colombo H. R., Liberman A., Fuentealba V., Luciardi H. L., Waisman G. D., Berli M. A., Garcia Duran R. O., Cestari H. G., Luquez H. A., Giordano J. A., Saavedra S. S., Zapata G., Costamagna O., Llois S., Waites J. H., Collins N., Soward A., Hii C. L., Shaw J., Arstall M. A., Horowitz J., Ninio D., Rogers J. F., Colquhoun D., Oqueli Flores R. E., Roberts-Thomson P., Raffel O., Lehman S. J., Aroney C., Coverdale S. G., Garrahy P. J., Starmer G., Sader M., Carroll P. A., Dick R., Zweiker R., Hoppe U., Huber K., Berger R., Delle-Karth G., Frey B., Weidinger F., Faes D., Hermans K., Pirenne B., Leone A., Hoffer E., Vrolix M. C., De Wolf L., Wollaert B., Castadot M., Dujardin K., Beauloye C., Vervoort G., Striekwold H., Convens C., Roosen J., Barbato E., Claeys M., Cools F., Terzic I., Barakovic F., Midzic Z., Pojskic B., Fazlibegovic E., Kulic M., Durak-Nalbantic A., Vulic D., Muslibegovic A., Goronja B., Reis G., Sousa L., Nicolau J. C., Giorgeto F. E., Silva R. P., Nigro Maia L., Rech R., Rossi P. R., Cerqueira M. J. A., Duda N., Kalil R., Kormann A., Abrantes J. A. M., Pimentel Filho P., Soggia A. P., de Santos M. O., Neuenschwander F., Bodanese L. C., Michalaros Y. L., Eliaschewitz F. G., Vidotti M. H., Leaes P. E., Botelho R. V., Kaiser S., Manenti E. R. F., Precoma D. B., Moura Jorge J. C., de B Silva P. G., Silveira J. A., Saporito W., Marin-Neto J. A., Feitosa G. S., Ritt L. E. F., de Souza J. A., Costa F., Souza W. K., Reis H. J., Machado L., Ayoub J. C. A., Todorov G. V., Nikolov F. P., Velcheva E. S., Tzekova M. L., Benov H. O., Petranov S. L., Tumbev H. S., Shehova-Yankova N. S., Markov D. T., Raev D. H., Mollov M. N., Kichukov K. N., Ilieva-Pandeva K. A., Ivanova R., Gospodinov M., Mincheva V. M., Lazov P. V., Dimov B. I., Senaratne M., Stone J., Kornder J., Pearce S., Dion D., Savard D., Pesant Y., Pandey A., Robinson S., Gosselin G., Vizel S., Hoag G., Bourgeois R., Morisset A., Sabbah E., Sussex B., Kouz S., MacDonald P., Diaz A., Michaud N., Fell D., Leung R., Vuurmans T., Lai C., Nigro F., Davies R., Nogareda G., Vijayaraghavan R., Ducas J., Lepage S., Mehta S., Cha J., Dupuis R., Fong P., Lutchmedial S., Rodes-Cabau J., Fadlallah H., Cleveland D., Huynh T., Bata I., Hameed A., Pincetti C., Potthoff S., Prieto J. C., Acevedo M., Aguirre A., Vejar M., Yanez M., Araneda G., Fernandez M., Perez L., Varleta P., Florenzano F., Huidobro L., Raffo C. A., Olivares C., Nahuelpan L., Montecinos H., Chen J., Dong Y., Huang W., Wang J., Huang S. A., Yao Z., Li X., Cui L., Lin W., Sun Y., Li J., Zhang X., Zhu H., Chen D., Huang L., Dong S., Su G., Xu B., Su X., Cheng X., Lin J., Zong W., Li H., Feng Y., Xu D., Yang X., Ke Y., Lin X., Zhang Z., Zheng Z., Luo Z., Chen Y., Ding C., Zhong Y., Zheng Y., Peng D., Zhao S., Li Y., Liu X., Wei M., Liu S., Yu Y., Qu B., Jiang W., Zhou Y., Zhao X., Yuan Z., Guo Y., Xu X., Shi X., Ge J., Fu G., Bai F., Fang W., Shou X., Wang J. A., Xiang M., Lu Q., Zhang R., Zhu J., Xu Y., Fan Z., Li T., Wu C., Jaramillo N., Sanchez Vallejo G., Luna Botia D. C., Botero Lopez R., Molina De Salazar D. I., Cadena Bonfanti A. J., Cotes Aroca C., Diego Higuera J., Blanquicett M., Barrera Silva S. I., Garcia Lozada H. J., Coronel Arroyo J. A., Accini Mendoza J. L., Fernandez Ruiz R. L., Quintero Ossa A. M., Manzur Jatin F. G., Sotomayor Herazo A., Castellanos Parada J., Suarez Arambula R., Urina Triana M. A., Fernandez Trujillo A. M., Strozzi M., Car S., Jeric M., Milicic D., Bencic M. L., Pintaric H., Prvulovic D., Sikic J., Persic V., Mileta D., Stambuk K., Babic Z., Tomulic V., Lukenda J., Mejic-Krstulovic S., Starcevic B., Spinar J., Horak D., Velicka Z., Stasek J., Alan D., Machova V., Linhart A., Novotny V., Kaucak V., Rokyta R., Naplava R., Coufal Z., Adamkova V., Podpera I., Zizka J., Motovska Z., Marusincova I., Svab P., Heinc P., Kuchar J., Povolny P., Matuska J., Poulsen S. H., Raungaard B., Clemmensen P., Bang L. E., May O., Bottcher M., Hove J. D., Frost L., Gislason G., Larsen J., Betton Johansen P., Hald F., Johansen P., Jeppesen J., Nielsen T., Kristensen K. S., Walichiewicz P. M., Lomholdt J. D., Klausen I. C., Nielsen P. K., Davidsen F., Videbaek L., Soots M., Vahula V., Hedman A., Soopold U., Martsin K., Jurgenson T., Kristjan A., Helsinki J. K., Vikman S., Huikuri H., Airaksinen J., Coste P., Ferrari E., Morel O., Montalescot G., Machecourt J., Barone-Rochette G., Mansourati J., Cottin Y., Leclercq F., Belhassane A., Delarche N., Boccara F., Paganelli F., Clerc J., Schiele F., Aboyans V., Probst V., Berland J., Lefevre T., Citron B., Khintibidze I., Shaburishvili T., Pagava Z., Ghlonti R., Lominadze Z., Khabeishvili G., Hemetsberger R., Edward K., Rauch-Krohnert U., Stratmann M., Appel K. -F., Schmidt E., Omran H., Stellbrink C., Dorsel T., Lianopoulos E., Vohringer H. F., Marx R., Zirlik A., Schellenberg D., Heitzer T., Laufs U., Werner C., Gielen S., Nuding S., Winkelmann B., Behrens S., Sydow K., Karakas M., Simonis G., Muenzel T., Werner N., Leggewie S., Bocker D., Braun-Dullaeus R., Toursarkissian N., Jeserich M., Weissbrodt M., Schaeufele T., Weil J., Voller H., Waltenberger J., Natour M., Schmitt S., Muller-Wieland D., Steiner S., Heidenreich L., Offers E., Gremmler U., Killat H., Rieker W., Patsilinakos S., Kartalis A., Manolis A., Sionis D., Chachalis G., Skoumas I., Athyros V., Vardas P., Parthenakis F., Alexopoulos D., Hahalis G., Lekakis J., Hatzitolios A., Fausto Ovando S. R., Arango Benecke J. L., Rodriguez De Leon E. R., Yan B. P., Siu D. C., Turi T., Merkely B., Ungi I., Lupkovics G., Nagy L., Katona A., Edes I., Muller G., Horvath I., Kapin T., Szigeti Z., Falukozy J., Kumbla M., Sandhu M., Annam S., Proddutur N. R., Regella R., Premchand R. K., Mahajan A., Pawar S., Abhyanakar A. D., Kerkar P., Govinda R. A., Oomman A., Sinha D., Patil S. N., Kahali D., Sawhney J., Joshi A. B., Chaudhary S., Harkut P., Guha S., Porwal S., Jujjuru S., Pothineni R. B., Monteiro M. R., Khan A., Iyengar S. S., Grewal J. S., Chopda M., Fulwani M. C., Patange A., Sachin P., Chopra V. K., Goyal N. K., Shinde R., Manakshe G. V., Patki N., Sethi S., Munusamy V., Karna S., Thanvi S., Adhyapak S., Patil C., Pandurangi U., Mathur R., Gupta J., Kalashetti S., Bhagwat A., Raghuraman B., Yerra S. K., Bhansali P., Borse R., Rahul P., Das S., Kumar V., Abdullakutty J., Saathe S., Palimkar P., Sathe S., Atar S., Shechter M., Mosseri M., Arbel Y., Ehud C., Ofer H., Lotan C., Rosenschein U., Katz A., Henkin Y., Francis A., Klutstein M., Nikolsky E., Zukermann R., Turgeman Y., Halabi M., Marmor A., Kornowski R., Jonas M., Amir O., Hasin Y., Rozenman Y., Fuchs S., Zvi V., Hussein O., Gavish D., Vered Z., Caraco Y., Elias M., Tov N., Wolfovitz E., Lishner M., Elias N., Piovaccari G., De Pellegrin A., Garbelotto R., Guardigli G., Marco V., Licciardello G., Auguadro C., Scalise F., Cuccia C., Salvioni A., Musumeci G., Senni M., Calabro P., Novo S., Faggiano P., Metra M., De Cesare N. B., Berti S., Cavallini C., Puccioni E., Galvani M., Tespili M., Piatti P., Palvarini M., De Luca G., Violini R., De Leo A., Olivari Z., Perrone Filardi P., Ferratini M., Racca V., Dai K., Shimatani Y., Kamiya H., Ando K., Takeda Y., Morino Y., Hata Y., Kimura K., Kishi K., Michishita I., Uehara H., Higashikata T., Hirayama A., Hirooka K., Doi Y., Sakagami S., Taguchi S., Koike A., Fujinaga H., Koba S., Kozuma K., Kawasaki T., Ono Y., Shimizu M., Katsuda Y., Wada A., Shinke T., Ako J., Fujii K., Takahashi T., Sakamoto T., Nakao K., Furukawa Y., Sugino H., Tamura R., Mano T., Uematsu M., Utsu N., Ito K., Haraguchi T., Sato K., Ueda Y., Nishibe A., Fujimoto K., Masutani M., Yoon J. H., Kim H. -L., Park H. S., Chae I. -H., Kim M. H., Jeong M. H., Rha S., Kim C., Kim H. -S., Kim H. Y., Hong T., Tahk S. -J., Kim Y., Busmane A., Pontaga N., Strelnieks A., Mintale I., Sime I., Petrulioniene Z., Kavaliauskiene R., Jurgaitiene R., Sakalyte G., Slapikas R., Norkiene S., Misonis N., Kibarskis A., Kubilius R., Bojovski S., Lozance N., Kjovkaroski A., Doncovska S., Ong T. K., Kasim S., Maskon O., Kandasamy B., Liew H. B., Wan Mohamed W. M. I., Garcia Castillo A., Carrillo Calvillo J., Fajardo Campos P., Nunez Fragoso J. C., Bayram Llamas E. A., Alcocer Gamba M. A., Carranza Madrigal J., Gonzalez Salas L. G., Lopez Rosas E., Gonzalez Diaz B., Salcido Vazquez E., Nacoud Ackar A., Llamas Esperon G. A., Martinez Sanchez C. R., Guerrero De Leon M., Suarez Otero R., Fanghanel Salmon G., Perez Rios J. A., Garza Ruiz J. A., Breedveld R. W., Feenema-Aardema M., Borger-Van Der Burg A., Hoogslag P. A., Suryapranata H., Oomen A., Van Haelst P., Wiersma J. J., Basart D., Van Der Wal R. M., Zwart P., Monraats P., Van Kesteren H., Karalis I., Jukema J., Verdel G. J., Brueren B. R., Troquay R. P., Viergever E. P., Al-Windy N. Y., Bartels G. L., Cornel J. H., Hermans W. R., Herrman J. P., Bos R. J., Groutars R. G., Van Der Zwaan C. C., Kaplan R., Lionarons R., Ronner E., Groenemeijer B. E., Bronzwaer P. N., Liem A. A., Rensing B. J., Bokern M. J., Nijmeijer R., Hersbach F. M., Willems F. F., Gosselink A. T., Rasoul S., Elliott J., Wilkins G., Fisher R., Scott D., Hart H., Stewart R., Harding S., Ternouth I., Fisher N., Wilson S., Aitken D., Anscombe R., Davidson L., Tomala T., Nygard O., Sparby J. A., Andersen K., Gullestad L., Jortveit J., Munk P. S., Singsaas E. G., Hurtig U., Calderon Ticona J. R., Durand Velasquez J. R., Negron Miguel S. A., Sanabria Perez E. S., Carrion Chambilla J. M., Chavez Ayala C. A., Castillo Leon R. P., Vargas Gonzales R. J., Hernandez Zuniga J. D., Camacho Cosavalente L. A., Bravo Mannucci J. E., Heredia Landeo J., Llerena Navarro N. C., Roldan Concha Y. M., Rodriguez Chavez V. E., Anchante Hernandez H. A., Zea Nunez C. A., Mogrovejo Ramos W., Ferrolino A., Sy R. A. G., Tirador L., Sy R. G., Matiga G., Coching R. M., Bernan A., Rogelio G., Morales D. D., Tan E., Sulit D. J., Wlodarczak A., Jaworska K., Skonieczny G., Pawlowicz L., Wojewoda P., Busz-Papiez B., Bednarski J., Goch A., Staneta P., Dulak E., Saminski K., Krasowski W., Sudnik W., Zurakowski A., Skorski M., Miklaszewicz B., Kubica J., Andrzej Lipko J., Kostarska-Srokosz E., Piepiorka M., Drzewiecka A., Stasiewski A., Blicharski T., Bystryk L., Szpajer M., Korol M., Czerski T., Mirek-Bryniarska E., Gniot J., Lubinski A., Gorny J., Franek E., Raczak G., Szwed H., Monteiro P., Mesquita Bastos J., Pereira H. H., Martins D., Seixo F., Mendonca C., Botelho A., Caetano F., Minescu B., Istratoaie O., Tesloianu D. N., Cristian G., Dumitrescu S., Podoleanu C. G., Constantinescu M. C., Bengus C. M., Militaru C., Rosu D., Parepa I. R., Matei A. V., Alexandru T. M., Malis M., Coman I., Stanescu-Cioranu R., Dimulescu D., Shvarts Y., Orlikova O., Kobalava Z., Barbarash O. L., Markov V., Lyamina N., Gordienko A., Zrazhevsky K., Vishnevsky A. Y., Gurevich V., Stryuk R., Lomakin N. V., Bokarev I., Khlevchuk T., Shalaev S., Khaisheva L., Chizhov P., Viktorova I., Osokina N., Shchekotov V., Akatova E., Chumakova G., Libov I., Voevoda M. I., Tretyakova T. V., Baranov E., Shustov S., Yakushin S., Gordeev I., Khasanov N., Reshetko O., Sotnikova T., Molchanova O., Nikolaev K., Gapon L., Baranova E., Shogenov Z., Kosmachova E., Povzun A., Egorova L., Tyrenko V. V., Ivanov I. G., Ilya M., Kanorsky S., Simic D., Ivanovic N., Davidovic G., Tasic N., Asanin M. R., Stojic S., Apostolovic S. R., Ilic S., Putnikovic Tosic B., Stankovic A., Arandjelovic A., Radovanovic S., Todic B., Balinovac J., Dincic D. V., Seferovic P., Karadzic A., Dodic S., Dimkovic S., Jakimov T., Poh K. -K., Ong H. Y., Tang I-Shing J., Micko K., Nociar J., Pella D., Fulop P., Hranai M., Palka J., Mazur J., Majercak I., Dzupina A., Fazekas F., Gonsorcik J., Bugan V., Selecky J., Kamensky G., Strbova J., Smik R., Dukat A., Zuran I., Poklukar J., Cernic Suligoj N., Cevc M., Cyster H. P., Ranjith N., Corbett C., Bayat J., Makotoko E. M., du Toit Theron H., Kapp I. E., de V Basson M. M., Lottering H., Van Aswegen D., Van Zyl L. J., Sebastian P. J., Pillay T., Saaiman J. A., Commerford P. J., Cassimjee S., Riaz G., Ebrahim I. O., Sarvan M., Mynhardt J. H., Reuter H., Moodley R., Vida M., Cequier Fillat A. R., Bodi Peris V., Fuentes Jimenez F., Marin F., Cruz Fernandez J. M., Hidalgo Urbano R. J., Gil-Extremera B., Toledo P., Worner Diz F., Garcia-Dorado D., Iniguez A., Gonzalez-Juanatey J. R., Fernandez Portales J., Civeira Murillo F., Matas Pericas L., Zamorano J. L., De Mora Martin M., Bruguera Cortada J., Alonso Martin J. J., Serrano Antolin J. M., De Berrazueta Fernandez J. R., Vazquez de Prada J. A., Diaz Fernandez J. F., Garcia Lledo J. A., Cosin Sales J., Botas Rodriguez J., Gusi Tragant G., Benedicto A., Gonzalez-Juanatey C., Camprubi Potau M., Plaza Perez I., De La Tassa C. M., Loma-Osorio Rincon P., Balaguer Recena J., Escudier J. M., Payeras A. C., Alonso Orcajo N., Valdivielso P., Constantine G., Haniffa R., Tissera N., Amarasekera S., Ponnamperuma C., Fernando N., Fernando K., Jayawardena J., Wijeyasingam S., Ranasinghe G., Ekanayaka R., Mendis S., Senaratne V., Mayurathan G., Sirisena T., Rajapaksha A., Herath J. I., Amarasena N., Berglund S., Rasmanis G., Vedin O., Witt N., Mourtzinis G., Nicol P., Hansen O., Romeo S., Agergaard Jensen S., Torstensson I., Ahremark U., Sundelin T., Moccetti T., Muller C., Mach F., Binde R., Tsai W. -C., Ueng K. -C., Lai W. -T., Liu M. -E., Hwang J. -J., Yin W. -H., Hsieh I. -C., Hsieh M. -J., Lin W. H., Kuo J. -Y., Huang T. -Y., Fang C. -Y., Kaewsuwanna P., Soonfuang W., Jintapakorn W., Sukonthasarn A., Wongpraparut N., Sastravaha K., Sansanayudh N., Kehasukcharoen W., Piyayotai D., Chotnoparatpat P., Camsari A., Kultursay H., Mutlu B., Ersanli M., Demirtas M., Kirma C., Ural E., Koldas L., Karpenko O., Prokhorov A., Vakaluyk I., Myshanych H., Reshotko D., Batushkin V., Rudenko L., Kovalskyi I., Kushnir M., Tseluyko V., Mostovoy Y., Stanislavchuk M., Kyiak Y., Karpenko Y., Malynovsky Y., Klantsa A., Kutniy O., Amosova E., Tashchuk V., Leshchuk O., Rishko M., Kopytsya M., Yagensky A., Vatutin M., Bagriy A., Barna O. M., Ushakov O., Dzyak G., Goloborodko B., Rudenko A., Zheleznyy V., Trevelyan J., Zaman A., Lee K., Moriarty A., Aggarwal R. K., Clifford P., Wong Y. -K., Iqbal S. M., Subkovas E., Braganza D., Sarkar D., Storey R., Griffiths H., McClure S., Muthusamy R., Smith S., Kurian J., Levy T., Barr C., Kadr H., Gerber R., Simaitis A., Soran H., Mathur A., Brodison A., Ayaz M., Cheema M., Oliver R., Thackray S., Mudawi T., Rahman G., Sultan A., Sharman D., Sprigings D., Butler R., Wilkinson P., Lip G. Y., Halcox J., Gallagher S., Ossei-Gerning N., Vardi G., Baldari D., Brabham D., Treasure II C., Dahl C., Palmer B., Wiseman A., Puri S., Mohart A. E., Ince C., Flores E., Wright S., Cheng S. -C., Rosenberg M., Rogers W., Kosinski E., Forgosh L., Waltman J., Khan M., Shoukfeh M., Dagher G., Cambier P., Lieber I., Kumar P., East C., Krichmar P., Hasan M., White L., Knickelbine T., Haldis T., Gillespie E., Amidon T., Suh D., Arif I., Abdallah M., Akhter F., Carlson E., D'Urso M., El-Ahdab F., Nelson W., Moriarty K., Harris B., Cohen S., Carter L., Doty D., Sabatino K., Haddad T., Malik A., Rao S., Mulkay A., Jovin I., Klancke K., Malhotra V., Devarapalli S. K., Koren M., Chandna H., Dodds III G., Goraya T., Bengston J., Janik M., Moran J., Sumner A., Kobayashi J., Davis W., Yazdani S., Pasquini J., Thakkar M., Vedere A., Leimbach W., Rider J., Fenton S., Singh N., Shah A. V., Janosik D., Pepine C., Berman B., Gelormini J., Daniels C., Richard K., Keating F., Kondo N. I., Shetty S., Levite H., Waider W., Takata T., Abu-Fadel M., Shah V., Aggarwal R., Izzo M., Kumar A., Hattler B., Do R., Link C., Bortnick A., Kinzfogl III G., Ghitis A., Larry J., Teufel E., Kuhlman P., Mclaurin B., Zhang W., Thew S., Abbas J., White M., Islam O., Subherwal S., Ranadive N., Vakili B., Gring C., Henderson D., Schuchard T., Farhat N., Kline G., Mahal S., Whitaker J., Speirs S., Andersen R., Daboul N., Horwitz P., Zahr F., Ponce G., Jafar Z., Mcgarvey J., Panchal V., Voyce S., Blok T., Sheldon W., Azizad M. M., Schmalfuss C., Picone M., Pederson R., Herzog W., Friedman K., Lindsey J., Nowins R., Timothy E., Leonard P., Lepor N., El Shahawy M., Weintraub H., Irimpen A., Alonso A., May W., Christopher D., Galski T., Chu A., Mody F., Ramin E., Hodes Z., Rossi J., Rose G., Fairlamb J., Lambert C., Raisinghani A., Abbate A., Vetrovec G., King M., Carey C., Gerber J., Younis L., Park H. T., Vidovich M., Knutson T., Friedman D., Chaleff F., Loussararian A., Rozeman P., Kimmelstiel C., Kuvin J., Silver K., Foster M., Tonnessen G., Espinoza A., Amlani M., Wali A., Malozzi C., Jong G. T., Massey C., Wattanakit K., O'Donnell P. J., Singal D., Jaffrani N., Banuru S., Fisher D., Xenakis M., Perlmutter N., Bhagwat R., Strader J., Blonder R., Akyea-Djamson A., Labroo A., Marais H. J., Claxton E., Weiss R., Kathryn R., Berk M., Rossi P., Joshi P., Khera A., Khaira A. S., Kumkumian G., Lupovitch S., Purow J., Welka S., Hoffman D., Fischer S., Soroka E., Eagerton D., Pancholy S., Ray M., Erenrich N., Farrar M., Pollock S., French W. J., Diamantis S., Guy D., Gimple L., Neustel M., Schwartz S., Pereira E., Albert S., Spriggs D., Strain J., Mittal S., Vo A., Chane M., Hall J., Vijay N., Lotun K., Lester F. M., Nahhas A., Pope T., Nager P., Vohra R., Sharma M., Bashir R., Ahmed H., Berlowitz M., Fishberg R., Barrucco R., Yang E., Radin M., Sporn D., Stapleton D., Eisenberg S., Landzberg J., Mcgough M., Turk S., Schwartz M., Sundram P. S., Jain D., Zainea M., Bayron C., Karlsberg R., Dohad S., Lui H., Keen W., Westerhausen D., Khurana S., Agarwal H., Birchem J., Penny W., Chang M., Murphy S., Henry J., Schifferdecker B., Gilbert J. M., Chalavarya G., Eaton C., Schmedtje J. F., Christenson S., Dotani I., Denham D., Macdonell A., Gibson P., Rahman A., Al Joundi T., Assi N., Conrad G., Kotha P., Love M., Giesler G., Rubenstein H., Gamil D., Akright L., Krawczyk J., Cobler J., Wells T., Welker J., Foster R., Gilmore R., Anderson J., Jacoby D., Gardner G., Dandillaya R., Vora K., Kostis J., Hunter J., Laxson D., Ball E., Lopes R., Egydio F., Kawakami A., Oliveira J., Wozniak J., Matthews A., Ratky C., Valiris J., Berdan L., Hepditch A., Quintero K., Rorick T., Westbrook M., Pascual A., Rovito C., Bezault M., Drouet E., Simon T., Alsweiler C., Luyten A., Butters J., Griffith L., Shaw M., Grunberg L., Islam S., Bregeault M. -F., Bougon N., Faustino D., Fontecave S., Murphy J., Verrier M., Agnetti V., Andersen D., Badreddine E., Bekkouche M., Bouancheau C., Brigui I., Brocklehurst M., Cianciarulo J., Devaul D., Domokos S., Gache C., Gobillot C., Guillou S., Healy J., Heath M., Jaiwal G., Javierre C., Labeirie J., Monier M., Morales U., Mrabti A., Mthombeni B., Okan B., Smith L., Sheller J., Sopena S., Pellan V., Benbernou F., Bengrait N., Lamoureux M., Kralova K., Scemama M., Bejuit R., Coulange A., Berthou C., Repincay J., Lorenzato C., Etienne A., Gouet V., Normand M., Ourliac A., Rondel C., Adamo A., Beltran P., Barraud P., Dubois-Gache H., Halle B., Metwally L., Mourgues M., Sotty M., Vincendet M., Cotruta R., Chengyue Z., Fournie-Lloret D., Morrello C., Perthuis A., Picault P., Zobouyan I., Dempsey M. A., McClanahan M. A., Ray, K, Colhoun, H, Szarek, M, Baccara-Dinet, M, Bhatt, D, Bittner, V, Budaj, A, Diaz, R, Goodman, S, Hanotin, C, Harrington, R, Jukema, J, Loizeau, V, Lopes, R, Moryusef, A, Murin, J, Pordy, R, Ristic, A, Roe, M, Tunon, J, White, H, Zeiher, A, Schwartz, G, Steg, P, Tricoci, P, Mahaffey, K, Edelberg, J, Lecorps, G, Sasiela, W, Tamby, J, Aylward, P, Drexel, H, Sinnaeve, P, Dilic, M, Gotcheva, N, Prieto, J, Yong, H, Lopez-Jaramillo, P, Pecin, I, Reiner, Z, Ostadal, P, Viigimaa, M, Nieminen, M, Chumburidze, V, Marx, N, Danchin, N, Liberopoulos, E, Montenegro Valdovinos, P, Tse, H, Kiss, R, Xavier, D, Zahger, D, Valgimigli, M, Kimura, T, Kim, H, Kim, S, Erglis, A, Laucevicius, A, Kedev, S, Yusoff, K, Ramos Lopez, G, Alings, M, Halvorsen, S, Correa Flores, R, Morais, J, Dorobantu, M, Karpov, Y, Chua, T, Fras, Z, Dalby, A, de Silva, H, Hagstrom, E, Landmesser, U, Chiang, C, Sritara, P, Guneri, S, Parkhomenko, A, Moriarty, P, Vogel, R, Chaitman, B, Kelsey, S, Olsson, A, Rouleau, J, Simoons, M, Alexander, K, Meloni, C, Rosenson, R, Sijbrands, E, Alexander, J, Armaganijan, L, Bagai, A, Bahit, M, Brennan, J, Clifton, S, Devore, A, Deloatch, S, Dickey, S, Dombrowski, K, Ducrocq, G, Eapen, Z, Endsley, P, Eppinger, A, Harrison, R, Hess, C, Hlatky, M, Jordan, J, Knowles, J, Kolls, B, Kong, D, Leonardi, S, Lillis, L, Maron, D, Marcus, J, Mathews, R, Mehta, R, Mentz, R, Moreira, H, Patel, C, Bernardez-Pereira, S, Perkins, L, Povsic, T, Puymirat, E, Schuyler Jones, W, Shah, B, Sherwood, M, Stringfellow, K, Sujjavanich, D, Toma, M, Trotter, C, Van Diepen, S, Wilson, M, Yan, A, Schiavi, L, Garrido, M, Alvarisqueta, A, Sassone, S, Bordonava, A, Alves De Lima, A, Schmidberg, J, Duronto, E, Caruso, O, Novaretto, L, Hominal, M, Montana, O, Caccavo, A, Gomez Vilamajo, O, Lorenzatti, A, Cartasegna, L, Paterlini, G, Mackinnon, I, Caime, G, Amuchastegui, M, Salomone, O, Codutti, O, Jure, H, Bono, J, Hrabar, A, Vallejos, J, Ahuad Guerrero, R, Novoa, F, Patocchi, C, Zaidman, C, Giuliano, M, Dran, R, Vico, M, Carnero, G, Guzman, P, Medrano Allende, J, Garcia Brasca, D, Bustamante Labarta, M, Nani, S, Blumberg, E, Colombo, H, Liberman, A, Fuentealba, V, Luciardi, H, Waisman, G, Berli, M, Garcia Duran, R, Cestari, H, Luquez, H, Giordano, J, Saavedra, S, Zapata, G, Costamagna, O, Llois, S, Waites, J, Collins, N, Soward, A, Hii, C, Shaw, J, Arstall, M, Horowitz, J, Ninio, D, Rogers, J, Colquhoun, D, Oqueli Flores, R, Roberts-Thomson, P, Raffel, O, Lehman, S, Aroney, C, Coverdale, S, Garrahy, P, Starmer, G, Sader, M, Carroll, P, Dick, R, Zweiker, R, Hoppe, U, Huber, K, Berger, R, Delle-Karth, G, Frey, B, Weidinger, F, Faes, D, Hermans, K, Pirenne, B, Leone, A, Hoffer, E, Vrolix, M, De Wolf, L, Wollaert, B, Castadot, M, Dujardin, K, Beauloye, C, Vervoort, G, Striekwold, H, Convens, C, Roosen, J, Barbato, E, Claeys, M, Cools, F, Terzic, I, Barakovic, F, Midzic, Z, Pojskic, B, Fazlibegovic, E, Kulic, M, Durak-Nalbantic, A, Vulic, D, Muslibegovic, A, Goronja, B, Reis, G, Sousa, L, Nicolau, J, Giorgeto, F, Silva, R, Nigro Maia, L, Rech, R, Rossi, P, Cerqueira, M, Duda, N, Kalil, R, Kormann, A, Abrantes, J, Pimentel Filho, P, Soggia, A, de Santos, M, Neuenschwander, F, Bodanese, L, Michalaros, Y, Eliaschewitz, F, Vidotti, M, Leaes, P, Botelho, R, Kaiser, S, Manenti, E, Precoma, D, Moura Jorge, J, de B Silva, P, Silveira, J, Saporito, W, Marin-Neto, J, Feitosa, G, Ritt, L, de Souza, J, Costa, F, Souza, W, Reis, H, Machado, L, Ayoub, J, Todorov, G, Nikolov, F, Velcheva, E, Tzekova, M, Benov, H, Petranov, S, Tumbev, H, Shehova-Yankova, N, Markov, D, Raev, D, Mollov, M, Kichukov, K, Ilieva-Pandeva, K, Ivanova, R, Gospodinov, M, Mincheva, V, Lazov, P, Dimov, B, Senaratne, M, Stone, J, Kornder, J, Pearce, S, Dion, D, Savard, D, Pesant, Y, Pandey, A, Robinson, S, Gosselin, G, Vizel, S, Hoag, G, Bourgeois, R, Morisset, A, Sabbah, E, Sussex, B, Kouz, S, Macdonald, P, Diaz, A, Michaud, N, Fell, D, Leung, R, Vuurmans, T, Lai, C, Nigro, F, Davies, R, Nogareda, G, Vijayaraghavan, R, Ducas, J, Lepage, S, Mehta, S, Cha, J, Dupuis, R, Fong, P, Lutchmedial, S, Rodes-Cabau, J, Fadlallah, H, Cleveland, D, Huynh, T, Bata, I, Hameed, A, Pincetti, C, Potthoff, S, Acevedo, M, Aguirre, A, Vejar, M, Yanez, M, Araneda, G, Fernandez, M, Perez, L, Varleta, P, Florenzano, F, Huidobro, L, Raffo, C, Olivares, C, Nahuelpan, L, Montecinos, H, Chen, J, Dong, Y, Huang, W, Wang, J, Huang, S, Yao, Z, Li, X, Cui, L, Lin, W, Sun, Y, Li, J, Zhang, X, Zhu, H, Chen, D, Huang, L, Dong, S, Su, G, Xu, B, Su, X, Cheng, X, Lin, J, Zong, W, Li, H, Feng, Y, Xu, D, Yang, X, Ke, Y, Lin, X, Zhang, Z, Zheng, Z, Luo, Z, Chen, Y, Ding, C, Zhong, Y, Zheng, Y, Peng, D, Zhao, S, Li, Y, Liu, X, Wei, M, Liu, S, Yu, Y, Qu, B, Jiang, W, Zhou, Y, Zhao, X, Yuan, Z, Guo, Y, Xu, X, Shi, X, Ge, J, Fu, G, Bai, F, Fang, W, Shou, X, Xiang, M, Lu, Q, Zhang, R, Zhu, J, Xu, Y, Fan, Z, Li, T, Wu, C, Jaramillo, N, Sanchez Vallejo, G, Luna Botia, D, Botero Lopez, R, Molina De Salazar, D, Cadena Bonfanti, A, Cotes Aroca, C, Diego Higuera, J, Blanquicett, M, Barrera Silva, S, Garcia Lozada, H, Coronel Arroyo, J, Accini Mendoza, J, Fernandez Ruiz, R, Quintero Ossa, A, Manzur Jatin, F, Sotomayor Herazo, A, Castellanos Parada, J, Suarez Arambula, R, Urina Triana, M, Fernandez Trujillo, A, Strozzi, M, Car, S, Jeric, M, Milicic, D, Bencic, M, Pintaric, H, Prvulovic, D, Sikic, J, Persic, V, Mileta, D, Stambuk, K, Babic, Z, Tomulic, V, Lukenda, J, Mejic-Krstulovic, S, Starcevic, B, Spinar, J, Horak, D, Velicka, Z, Stasek, J, Alan, D, Machova, V, Linhart, A, Novotny, V, Kaucak, V, Rokyta, R, Naplava, R, Coufal, Z, Adamkova, V, Podpera, I, Zizka, J, Motovska, Z, Marusincova, I, Svab, P, Heinc, P, Kuchar, J, Povolny, P, Matuska, J, Poulsen, S, Raungaard, B, Clemmensen, P, Bang, L, May, O, Bottcher, M, Hove, J, Frost, L, Gislason, G, Larsen, J, Betton Johansen, P, Hald, F, Johansen, P, Jeppesen, J, Nielsen, T, Kristensen, K, Walichiewicz, P, Lomholdt, J, Klausen, I, Nielsen, P, Davidsen, F, Videbaek, L, Soots, M, Vahula, V, Hedman, A, Soopold, U, Martsin, K, Jurgenson, T, Kristjan, A, Helsinki, J, Vikman, S, Huikuri, H, Airaksinen, J, Coste, P, Ferrari, E, Morel, O, Montalescot, G, Machecourt, J, Barone-Rochette, G, Mansourati, J, Cottin, Y, Leclercq, F, Belhassane, A, Delarche, N, Boccara, F, Paganelli, F, Clerc, J, Schiele, F, Aboyans, V, Probst, V, Berland, J, Lefevre, T, Citron, B, Khintibidze, I, Shaburishvili, T, Pagava, Z, Ghlonti, R, Lominadze, Z, Khabeishvili, G, Hemetsberger, R, Edward, K, Rauch-Krohnert, U, Stratmann, M, Appel, K, Schmidt, E, Omran, H, Stellbrink, C, Dorsel, T, Lianopoulos, E, Vohringer, H, Marx, R, Zirlik, A, Schellenberg, D, Heitzer, T, Laufs, U, Werner, C, Gielen, S, Nuding, S, Winkelmann, B, Behrens, S, Sydow, K, Karakas, M, Simonis, G, Muenzel, T, Werner, N, Leggewie, S, Bocker, D, Braun-Dullaeus, R, Toursarkissian, N, Jeserich, M, Weissbrodt, M, Schaeufele, T, Weil, J, Voller, H, Waltenberger, J, Natour, M, Schmitt, S, Muller-Wieland, D, Steiner, S, Heidenreich, L, Offers, E, Gremmler, U, Killat, H, Rieker, W, Patsilinakos, S, Kartalis, A, Manolis, A, Sionis, D, Chachalis, G, Skoumas, I, Athyros, V, Vardas, P, Parthenakis, F, Alexopoulos, D, Hahalis, G, Lekakis, J, Hatzitolios, A, Fausto Ovando, S, Arango Benecke, J, Rodriguez De Leon, E, Yan, B, Siu, D, Turi, T, Merkely, B, Ungi, I, Lupkovics, G, Nagy, L, Katona, A, Edes, I, Muller, G, Horvath, I, Kapin, T, Szigeti, Z, Falukozy, J, Kumbla, M, Sandhu, M, Annam, S, Proddutur, N, Regella, R, Premchand, R, Mahajan, A, Pawar, S, Abhyanakar, A, Kerkar, P, Govinda, R, Oomman, A, Sinha, D, Patil, S, Kahali, D, Sawhney, J, Joshi, A, Chaudhary, S, Harkut, P, Guha, S, Porwal, S, Jujjuru, S, Pothineni, R, Monteiro, M, Khan, A, Iyengar, S, Grewal, J, Chopda, M, Fulwani, M, Patange, A, Sachin, P, Chopra, V, Goyal, N, Shinde, R, Manakshe, G, Patki, N, Sethi, S, Munusamy, V, Karna, S, Thanvi, S, Adhyapak, S, Patil, C, Pandurangi, U, Mathur, R, Gupta, J, Kalashetti, S, Bhagwat, A, Raghuraman, B, Yerra, S, Bhansali, P, Borse, R, Rahul, P, Das, S, Kumar, V, Abdullakutty, J, Saathe, S, Palimkar, P, Sathe, S, Atar, S, Shechter, M, Mosseri, M, Arbel, Y, Ehud, C, Ofer, H, Lotan, C, Rosenschein, U, Katz, A, Henkin, Y, Francis, A, Klutstein, M, Nikolsky, E, Zukermann, R, Turgeman, Y, Halabi, M, Marmor, A, Kornowski, R, Jonas, M, Amir, O, Hasin, Y, Rozenman, Y, Fuchs, S, Zvi, V, Hussein, O, Gavish, D, Vered, Z, Caraco, Y, Elias, M, Tov, N, Wolfovitz, E, Lishner, M, Elias, N, Piovaccari, G, De Pellegrin, A, Garbelotto, R, Guardigli, G, Marco, V, Licciardello, G, Auguadro, C, Scalise, F, Cuccia, C, Salvioni, A, Musumeci, G, Senni, M, Calabro, P, Novo, S, Faggiano, P, Metra, M, De Cesare, N, Berti, S, Cavallini, C, Puccioni, E, Galvani, M, Tespili, M, Piatti, P, Palvarini, M, De Luca, G, Violini, R, De Leo, A, Olivari, Z, Perrone Filardi, P, Ferratini, M, Racca, V, Dai, K, Shimatani, Y, Kamiya, H, Ando, K, Takeda, Y, Morino, Y, Hata, Y, Kimura, K, Kishi, K, Michishita, I, Uehara, H, Higashikata, T, Hirayama, A, Hirooka, K, Doi, Y, Sakagami, S, Taguchi, S, Koike, A, Fujinaga, H, Koba, S, Kozuma, K, Kawasaki, T, Ono, Y, Shimizu, M, Katsuda, Y, Wada, A, Shinke, T, Ako, J, Fujii, K, Takahashi, T, Sakamoto, T, Nakao, K, Furukawa, Y, Sugino, H, Tamura, R, Mano, T, Uematsu, M, Utsu, N, Ito, K, Haraguchi, T, Sato, K, Ueda, Y, Nishibe, A, Fujimoto, K, Masutani, M, Yoon, J, Park, H, Chae, I, Kim, M, Jeong, M, Rha, S, Kim, C, Hong, T, Tahk, S, Kim, Y, Busmane, A, Pontaga, N, Strelnieks, A, Mintale, I, Sime, I, Petrulioniene, Z, Kavaliauskiene, R, Jurgaitiene, R, Sakalyte, G, Slapikas, R, Norkiene, S, Misonis, N, Kibarskis, A, Kubilius, R, Bojovski, S, Lozance, N, Kjovkaroski, A, Doncovska, S, Ong, T, Kasim, S, Maskon, O, Kandasamy, B, Liew, H, Wan Mohamed, W, Garcia Castillo, A, Carrillo Calvillo, J, Fajardo Campos, P, Nunez Fragoso, J, Bayram Llamas, E, Alcocer Gamba, M, Carranza Madrigal, J, Gonzalez Salas, L, Lopez Rosas, E, Gonzalez Diaz, B, Salcido Vazquez, E, Nacoud Ackar, A, Llamas Esperon, G, Martinez Sanchez, C, Guerrero De Leon, M, Suarez Otero, R, Fanghanel Salmon, G, Perez Rios, J, Garza Ruiz, J, Breedveld, R, Feenema-Aardema, M, Borger-Van Der Burg, A, Hoogslag, P, Suryapranata, H, Oomen, A, Van Haelst, P, Wiersma, J, Basart, D, Van Der Wal, R, Zwart, P, Monraats, P, Van Kesteren, H, Karalis, I, Verdel, G, Brueren, B, Troquay, R, Viergever, E, Al-Windy, N, Bartels, G, Cornel, J, Hermans, W, Herrman, J, Bos, R, Groutars, R, Van Der Zwaan, C, Kaplan, R, Lionarons, R, Ronner, E, Groenemeijer, B, Bronzwaer, P, Liem, A, Rensing, B, Bokern, M, Nijmeijer, R, Hersbach, F, Willems, F, Gosselink, A, Rasoul, S, Elliott, J, Wilkins, G, Fisher, R, Scott, D, Hart, H, Stewart, R, Harding, S, Ternouth, I, Fisher, N, Wilson, S, Aitken, D, Anscombe, R, Davidson, L, Tomala, T, Nygard, O, Sparby, J, Andersen, K, Gullestad, L, Jortveit, J, Munk, P, Singsaas, E, Hurtig, U, Calderon Ticona, J, Durand Velasquez, J, Negron Miguel, S, Sanabria Perez, E, Carrion Chambilla, J, Chavez Ayala, C, Castillo Leon, R, Vargas Gonzales, R, Hernandez Zuniga, J, Camacho Cosavalente, L, Bravo Mannucci, J, Heredia Landeo, J, Llerena Navarro, N, Roldan Concha, Y, Rodriguez Chavez, V, Anchante Hernandez, H, Zea Nunez, C, Mogrovejo Ramos, W, Ferrolino, A, Sy, R, Tirador, L, Matiga, G, Coching, R, Bernan, A, Rogelio, G, Morales, D, Tan, E, Sulit, D, Wlodarczak, A, Jaworska, K, Skonieczny, G, Pawlowicz, L, Wojewoda, P, Busz-Papiez, B, Bednarski, J, Goch, A, Staneta, P, Dulak, E, Saminski, K, Krasowski, W, Sudnik, W, Zurakowski, A, Skorski, M, Miklaszewicz, B, Kubica, J, Andrzej Lipko, J, Kostarska-Srokosz, E, Piepiorka, M, Drzewiecka, A, Stasiewski, A, Blicharski, T, Bystryk, L, Szpajer, M, Korol, M, Czerski, T, Mirek-Bryniarska, E, Gniot, J, Lubinski, A, Gorny, J, Franek, E, Raczak, G, Szwed, H, Monteiro, P, Mesquita Bastos, J, Pereira, H, Martins, D, Seixo, F, Mendonca, C, Botelho, A, Caetano, F, Minescu, B, Istratoaie, O, Tesloianu, D, Cristian, G, Dumitrescu, S, Podoleanu, C, Constantinescu, M, Bengus, C, Militaru, C, Rosu, D, Parepa, I, Matei, A, Alexandru, T, Malis, M, Coman, I, Stanescu-Cioranu, R, Dimulescu, D, Shvarts, Y, Orlikova, O, Kobalava, Z, Barbarash, O, Markov, V, Lyamina, N, Gordienko, A, Zrazhevsky, K, Vishnevsky, A, Gurevich, V, Stryuk, R, Lomakin, N, Bokarev, I, Khlevchuk, T, Shalaev, S, Khaisheva, L, Chizhov, P, Viktorova, I, Osokina, N, Shchekotov, V, Akatova, E, Chumakova, G, Libov, I, Voevoda, M, Tretyakova, T, Baranov, E, Shustov, S, Yakushin, S, Gordeev, I, Khasanov, N, Reshetko, O, Sotnikova, T, Molchanova, O, Nikolaev, K, Gapon, L, Baranova, E, Shogenov, Z, Kosmachova, E, Povzun, A, Egorova, L, Tyrenko, V, Ivanov, I, Ilya, M, Kanorsky, S, Simic, D, Ivanovic, N, Davidovic, G, Tasic, N, Asanin, M, Stojic, S, Apostolovic, S, Ilic, S, Putnikovic Tosic, B, Stankovic, A, Arandjelovic, A, Radovanovic, S, Todic, B, Balinovac, J, Dincic, D, Seferovic, P, Karadzic, A, Dodic, S, Dimkovic, S, Jakimov, T, Poh, K, Ong, H, Tang I-Shing, J, Micko, K, Nociar, J, Pella, D, Fulop, P, Hranai, M, Palka, J, Mazur, J, Majercak, I, Dzupina, A, Fazekas, F, Gonsorcik, J, Bugan, V, Selecky, J, Kamensky, G, Strbova, J, Smik, R, Dukat, A, Zuran, I, Poklukar, J, Cernic Suligoj, N, Cevc, M, Cyster, H, Ranjith, N, Corbett, C, Bayat, J, Makotoko, E, du Toit Theron, H, Kapp, I, de V Basson, M, Lottering, H, Van Aswegen, D, Van Zyl, L, Sebastian, P, Pillay, T, Saaiman, J, Commerford, P, Cassimjee, S, Riaz, G, Ebrahim, I, Sarvan, M, Mynhardt, J, Reuter, H, Moodley, R, Vida, M, Cequier Fillat, A, Bodi Peris, V, Fuentes Jimenez, F, Marin, F, Cruz Fernandez, J, Hidalgo Urbano, R, Gil-Extremera, B, Toledo, P, Worner Diz, F, Garcia-Dorado, D, Iniguez, A, Gonzalez-Juanatey, J, Fernandez Portales, J, Civeira Murillo, F, Matas Pericas, L, Zamorano, J, De Mora Martin, M, Bruguera Cortada, J, Alonso Martin, J, Serrano Antolin, J, De Berrazueta Fernandez, J, Vazquez de Prada, J, Diaz Fernandez, J, Garcia Lledo, J, Cosin Sales, J, Botas Rodriguez, J, Gusi Tragant, G, Benedicto, A, Gonzalez-Juanatey, C, Camprubi Potau, M, Plaza Perez, I, De La Tassa, C, Loma-Osorio Rincon, P, Balaguer Recena, J, Escudier, J, Payeras, A, Alonso Orcajo, N, Valdivielso, P, Constantine, G, Haniffa, R, Tissera, N, Amarasekera, S, Ponnamperuma, C, Fernando, N, Fernando, K, Jayawardena, J, Wijeyasingam, S, Ranasinghe, G, Ekanayaka, R, Mendis, S, Senaratne, V, Mayurathan, G, Sirisena, T, Rajapaksha, A, Herath, J, Amarasena, N, Berglund, S, Rasmanis, G, Vedin, O, Witt, N, Mourtzinis, G, Nicol, P, Hansen, O, Romeo, S, Agergaard Jensen, S, Torstensson, I, Ahremark, U, Sundelin, T, Moccetti, T, Muller, C, Mach, F, Binde, R, Tsai, W, Ueng, K, Lai, W, Liu, M, Hwang, J, Yin, W, Hsieh, I, Hsieh, M, Kuo, J, Huang, T, Fang, C, Kaewsuwanna, P, Soonfuang, W, Jintapakorn, W, Sukonthasarn, A, Wongpraparut, N, Sastravaha, K, Sansanayudh, N, Kehasukcharoen, W, Piyayotai, D, Chotnoparatpat, P, Camsari, A, Kultursay, H, Mutlu, B, Ersanli, M, Demirtas, M, Kirma, C, Ural, E, Koldas, L, Karpenko, O, Prokhorov, A, Vakaluyk, I, Myshanych, H, Reshotko, D, Batushkin, V, Rudenko, L, Kovalskyi, I, Kushnir, M, Tseluyko, V, Mostovoy, Y, Stanislavchuk, M, Kyiak, Y, Karpenko, Y, Malynovsky, Y, Klantsa, A, Kutniy, O, Amosova, E, Tashchuk, V, Leshchuk, O, Rishko, M, Kopytsya, M, Yagensky, A, Vatutin, M, Bagriy, A, Barna, O, Ushakov, O, Dzyak, G, Goloborodko, B, Rudenko, A, Zheleznyy, V, Trevelyan, J, Zaman, A, Lee, K, Moriarty, A, Aggarwal, R, Clifford, P, Wong, Y, Iqbal, S, Subkovas, E, Braganza, D, Sarkar, D, Storey, R, Griffiths, H, Mcclure, S, Muthusamy, R, Smith, S, Kurian, J, Levy, T, Barr, C, Kadr, H, Gerber, R, Simaitis, A, Soran, H, Mathur, A, Brodison, A, Ayaz, M, Cheema, M, Oliver, R, Thackray, S, Mudawi, T, Rahman, G, Sultan, A, Sharman, D, Sprigings, D, Butler, R, Wilkinson, P, Lip, G, Halcox, J, Gallagher, S, Ossei-Gerning, N, Vardi, G, Baldari, D, Brabham, D, Treasure II, C, Dahl, C, Palmer, B, Wiseman, A, Puri, S, Mohart, A, Ince, C, Flores, E, Wright, S, Cheng, S, Rosenberg, M, Rogers, W, Kosinski, E, Forgosh, L, Waltman, J, Khan, M, Shoukfeh, M, Dagher, G, Cambier, P, Lieber, I, Kumar, P, East, C, Krichmar, P, Hasan, M, White, L, Knickelbine, T, Haldis, T, Gillespie, E, Amidon, T, Suh, D, Arif, I, Abdallah, M, Akhter, F, Carlson, E, D'Urso, M, El-Ahdab, F, Nelson, W, Moriarty, K, Harris, B, Cohen, S, Carter, L, Doty, D, Sabatino, K, Haddad, T, Malik, A, Rao, S, Mulkay, A, Jovin, I, Klancke, K, Malhotra, V, Devarapalli, S, Koren, M, Chandna, H, Dodds III, G, Goraya, T, Bengston, J, Janik, M, Moran, J, Sumner, A, Kobayashi, J, Davis, W, Yazdani, S, Pasquini, J, Thakkar, M, Vedere, A, Leimbach, W, Rider, J, Fenton, S, Singh, N, Shah, A, Janosik, D, Pepine, C, Berman, B, Gelormini, J, Daniels, C, Richard, K, Keating, F, Kondo, N, Shetty, S, Levite, H, Waider, W, Takata, T, Abu-Fadel, M, Shah, V, Izzo, M, Kumar, A, Hattler, B, Do, R, Link, C, Bortnick, A, Kinzfogl III, G, Ghitis, A, Larry, J, Teufel, E, Kuhlman, P, Mclaurin, B, Zhang, W, Thew, S, Abbas, J, White, M, Islam, O, Subherwal, S, Ranadive, N, Vakili, B, Gring, C, Henderson, D, Schuchard, T, Farhat, N, Kline, G, Mahal, S, Whitaker, J, Speirs, S, Andersen, R, Daboul, N, Horwitz, P, Zahr, F, Ponce, G, Jafar, Z, Mcgarvey, J, Panchal, V, Voyce, S, Blok, T, Sheldon, W, Azizad, M, Schmalfuss, C, Picone, M, Pederson, R, Herzog, W, Friedman, K, Lindsey, J, Nowins, R, Timothy, E, Leonard, P, Lepor, N, El Shahawy, M, Weintraub, H, Irimpen, A, Alonso, A, May, W, Christopher, D, Galski, T, Chu, A, Mody, F, Ramin, E, Hodes, Z, Rossi, J, Rose, G, Fairlamb, J, Lambert, C, Raisinghani, A, Abbate, A, Vetrovec, G, King, M, Carey, C, Gerber, J, Younis, L, Vidovich, M, Knutson, T, Friedman, D, Chaleff, F, Loussararian, A, Rozeman, P, Kimmelstiel, C, Kuvin, J, Silver, K, Foster, M, Tonnessen, G, Espinoza, A, Amlani, M, Wali, A, Malozzi, C, Jong, G, Massey, C, Wattanakit, K, O'Donnell, P, Singal, D, Jaffrani, N, Banuru, S, Fisher, D, Xenakis, M, Perlmutter, N, Bhagwat, R, Strader, J, Blonder, R, Akyea-Djamson, A, Labroo, A, Marais, H, Claxton, E, Weiss, R, Kathryn, R, Berk, M, Joshi, P, Khera, A, Khaira, A, Kumkumian, G, Lupovitch, S, Purow, J, Welka, S, Hoffman, D, Fischer, S, Soroka, E, Eagerton, D, Pancholy, S, Ray, M, Erenrich, N, Farrar, M, Pollock, S, French, W, Diamantis, S, Guy, D, Gimple, L, Neustel, M, Schwartz, S, Pereira, E, Albert, S, Spriggs, D, Strain, J, Mittal, S, Vo, A, Chane, M, Hall, J, Vijay, N, Lotun, K, Lester, F, Nahhas, A, Pope, T, Nager, P, Vohra, R, Sharma, M, Bashir, R, Ahmed, H, Berlowitz, M, Fishberg, R, Barrucco, R, Yang, E, Radin, M, Sporn, D, Stapleton, D, Eisenberg, S, Landzberg, J, Mcgough, M, Turk, S, Schwartz, M, Sundram, P, Jain, D, Zainea, M, Bayron, C, Karlsberg, R, Dohad, S, Lui, H, Keen, W, Westerhausen, D, Khurana, S, Agarwal, H, Birchem, J, Penny, W, Chang, M, Murphy, S, Henry, J, Schifferdecker, B, Gilbert, J, Chalavarya, G, Eaton, C, Schmedtje, J, Christenson, S, Dotani, I, Denham, D, Macdonell, A, Gibson, P, Rahman, A, Al Joundi, T, Assi, N, Conrad, G, Kotha, P, Love, M, Giesler, G, Rubenstein, H, Gamil, D, Akright, L, Krawczyk, J, Cobler, J, Wells, T, Welker, J, Foster, R, Gilmore, R, Anderson, J, Jacoby, D, Gardner, G, Dandillaya, R, Vora, K, Kostis, J, Hunter, J, Laxson, D, Ball, E, Egydio, F, Kawakami, A, Oliveira, J, Wozniak, J, Matthews, A, Ratky, C, Valiris, J, Berdan, L, Hepditch, A, Quintero, K, Rorick, T, Westbrook, M, Pascual, A, Rovito, C, Bezault, M, Drouet, E, Simon, T, Alsweiler, C, Luyten, A, Butters, J, Griffith, L, Shaw, M, Grunberg, L, Islam, S, Bregeault, M, Bougon, N, Faustino, D, Fontecave, S, Murphy, J, Verrier, M, Agnetti, V, Andersen, D, Badreddine, E, Bekkouche, M, Bouancheau, C, Brigui, I, Brocklehurst, M, Cianciarulo, J, Devaul, D, Domokos, S, Gache, C, Gobillot, C, Guillou, S, Healy, J, Heath, M, Jaiwal, G, Javierre, C, Labeirie, J, Monier, M, Morales, U, Mrabti, A, Mthombeni, B, Okan, B, Smith, L, Sheller, J, Sopena, S, Pellan, V, Benbernou, F, Bengrait, N, Lamoureux, M, Kralova, K, Scemama, M, Bejuit, R, Coulange, A, Berthou, C, Repincay, J, Lorenzato, C, Etienne, A, Gouet, V, Normand, M, Ourliac, A, Rondel, C, Adamo, A, Beltran, P, Barraud, P, Dubois-Gache, H, Halle, B, Metwally, L, Mourgues, M, Sotty, M, Vincendet, M, Cotruta, R, Chengyue, Z, Fournie-Lloret, D, Morrello, C, Perthuis, A, Picault, P, Zobouyan, I, Dempsey, M, Mcclanahan, M, Ray K. K., Colhoun H. M., Szarek M., Baccara-Dinet M., Bhatt D. L., Bittner V. A., Budaj A. J., Diaz R., Goodman S. G., Hanotin C., Harrington R. A., Jukema J. W., Loizeau V., Lopes R. D., Moryusef A., Murin J., Pordy R., Ristic A. D., Roe M. T., Tunon J., White H. D., Zeiher A. M., Schwartz G. G., Steg P. G., Tricoci P., Mahaffey K. W., Edelberg J. M., Lecorps G., Sasiela W. J., Tamby J. -F., Aylward P. E., Drexel H., Sinnaeve P., Dilic M., Gotcheva N. N., Prieto J. -C., Yong H., Lopez-Jaramillo P., Pecin I., Reiner Z., Ostadal P., Viigimaa M., Nieminen M. S., Chumburidze V., Marx N., Danchin N., Liberopoulos E., Montenegro Valdovinos P. C., Tse H. -F., Kiss R. G., Xavier D., Zahger D., Valgimigli M., Kimura T., Kim H. S., Kim S. -H., Erglis A., Laucevicius A., Kedev S., Yusoff K., Ramos Lopez G. A., Alings M., Halvorsen S., Correa Flores R. M., Morais J., Dorobantu M., Karpov Y., Chua T., Fras Z., Dalby A. J., de Silva H. A., Hagstrom E., Landmesser U., Chiang C. -E., Sritara P., Guneri S., Parkhomenko A., Moriarty P. M., Vogel R., Chaitman B., Kelsey S. F., Olsson A. G., Rouleau J. -L., Simoons M. L., Alexander K., Meloni C., Rosenson R., Sijbrands E. J. G., Alexander J. H., Armaganijan L., Bagai A., Bahit M. C., Brennan J. M., Clifton S., DeVore A. D., Deloatch S., Dickey S., Dombrowski K., Ducrocq G., Eapen Z., Endsley P., Eppinger A., Harrison R. W., Hess C. N., Hlatky M. A., Jordan J. D., Knowles J. W., Kolls B. J., Kong D. F., Leonardi S., Lillis L., Maron D. J., Marcus J., Mathews R., Mehta R. H., Mentz R. J., Moreira H. G., Patel C. B., Bernardez-Pereira S., Perkins L., Povsic T. J., Puymirat E., Schuyler Jones W., Shah B. R., Sherwood M. W., Stringfellow K., Sujjavanich D., Toma M., Trotter C., Van Diepen S., Wilson M. D., Yan A. T., Schiavi L. B., Garrido M., Alvarisqueta A. F., Sassone S. A., Bordonava A. P., Alves De Lima A. E., Schmidberg J. M., Duronto E. A., Caruso O. C., Novaretto L. P., Hominal M. A., Montana O. R., Caccavo A., Gomez Vilamajo O. A., Lorenzatti A. J., Cartasegna L. R., Paterlini G. A., Mackinnon I. J., Caime G. D., Amuchastegui M., Salomone O., Codutti O. R., Jure H. O., Bono J. O., Hrabar A. D., Vallejos J. A., Ahuad Guerrero R. A., Novoa F., Patocchi C. A., Zaidman C. J., Giuliano M. E., Dran R. D., Vico M. L., Carnero G. S., Guzman P. N., Medrano Allende J. C., Garcia Brasca D. F., Bustamante Labarta M. H., Nani S., Blumberg E. D., Colombo H. R., Liberman A., Fuentealba V., Luciardi H. L., Waisman G. D., Berli M. A., Garcia Duran R. O., Cestari H. G., Luquez H. A., Giordano J. A., Saavedra S. S., Zapata G., Costamagna O., Llois S., Waites J. H., Collins N., Soward A., Hii C. L., Shaw J., Arstall M. A., Horowitz J., Ninio D., Rogers J. F., Colquhoun D., Oqueli Flores R. E., Roberts-Thomson P., Raffel O., Lehman S. J., Aroney C., Coverdale S. G., Garrahy P. J., Starmer G., Sader M., Carroll P. A., Dick R., Zweiker R., Hoppe U., Huber K., Berger R., Delle-Karth G., Frey B., Weidinger F., Faes D., Hermans K., Pirenne B., Leone A., Hoffer E., Vrolix M. C., De Wolf L., Wollaert B., Castadot M., Dujardin K., Beauloye C., Vervoort G., Striekwold H., Convens C., Roosen J., Barbato E., Claeys M., Cools F., Terzic I., Barakovic F., Midzic Z., Pojskic B., Fazlibegovic E., Kulic M., Durak-Nalbantic A., Vulic D., Muslibegovic A., Goronja B., Reis G., Sousa L., Nicolau J. C., Giorgeto F. E., Silva R. P., Nigro Maia L., Rech R., Rossi P. R., Cerqueira M. J. A., Duda N., Kalil R., Kormann A., Abrantes J. A. M., Pimentel Filho P., Soggia A. P., de Santos M. O., Neuenschwander F., Bodanese L. C., Michalaros Y. L., Eliaschewitz F. G., Vidotti M. H., Leaes P. E., Botelho R. V., Kaiser S., Manenti E. R. F., Precoma D. B., Moura Jorge J. C., de B Silva P. G., Silveira J. A., Saporito W., Marin-Neto J. A., Feitosa G. S., Ritt L. E. F., de Souza J. A., Costa F., Souza W. K., Reis H. J., Machado L., Ayoub J. C. A., Todorov G. V., Nikolov F. P., Velcheva E. S., Tzekova M. L., Benov H. O., Petranov S. L., Tumbev H. S., Shehova-Yankova N. S., Markov D. T., Raev D. H., Mollov M. N., Kichukov K. N., Ilieva-Pandeva K. A., Ivanova R., Gospodinov M., Mincheva V. M., Lazov P. V., Dimov B. I., Senaratne M., Stone J., Kornder J., Pearce S., Dion D., Savard D., Pesant Y., Pandey A., Robinson S., Gosselin G., Vizel S., Hoag G., Bourgeois R., Morisset A., Sabbah E., Sussex B., Kouz S., MacDonald P., Diaz A., Michaud N., Fell D., Leung R., Vuurmans T., Lai C., Nigro F., Davies R., Nogareda G., Vijayaraghavan R., Ducas J., Lepage S., Mehta S., Cha J., Dupuis R., Fong P., Lutchmedial S., Rodes-Cabau J., Fadlallah H., Cleveland D., Huynh T., Bata I., Hameed A., Pincetti C., Potthoff S., Prieto J. C., Acevedo M., Aguirre A., Vejar M., Yanez M., Araneda G., Fernandez M., Perez L., Varleta P., Florenzano F., Huidobro L., Raffo C. A., Olivares C., Nahuelpan L., Montecinos H., Chen J., Dong Y., Huang W., Wang J., Huang S. A., Yao Z., Li X., Cui L., Lin W., Sun Y., Li J., Zhang X., Zhu H., Chen D., Huang L., Dong S., Su G., Xu B., Su X., Cheng X., Lin J., Zong W., Li H., Feng Y., Xu D., Yang X., Ke Y., Lin X., Zhang Z., Zheng Z., Luo Z., Chen Y., Ding C., Zhong Y., Zheng Y., Peng D., Zhao S., Li Y., Liu X., Wei M., Liu S., Yu Y., Qu B., Jiang W., Zhou Y., Zhao X., Yuan Z., Guo Y., Xu X., Shi X., Ge J., Fu G., Bai F., Fang W., Shou X., Wang J. A., Xiang M., Lu Q., Zhang R., Zhu J., Xu Y., Fan Z., Li T., Wu C., Jaramillo N., Sanchez Vallejo G., Luna Botia D. C., Botero Lopez R., Molina De Salazar D. I., Cadena Bonfanti A. J., Cotes Aroca C., Diego Higuera J., Blanquicett M., Barrera Silva S. I., Garcia Lozada H. J., Coronel Arroyo J. A., Accini Mendoza J. L., Fernandez Ruiz R. L., Quintero Ossa A. M., Manzur Jatin F. G., Sotomayor Herazo A., Castellanos Parada J., Suarez Arambula R., Urina Triana M. A., Fernandez Trujillo A. M., Strozzi M., Car S., Jeric M., Milicic D., Bencic M. L., Pintaric H., Prvulovic D., Sikic J., Persic V., Mileta D., Stambuk K., Babic Z., Tomulic V., Lukenda J., Mejic-Krstulovic S., Starcevic B., Spinar J., Horak D., Velicka Z., Stasek J., Alan D., Machova V., Linhart A., Novotny V., Kaucak V., Rokyta R., Naplava R., Coufal Z., Adamkova V., Podpera I., Zizka J., Motovska Z., Marusincova I., Svab P., Heinc P., Kuchar J., Povolny P., Matuska J., Poulsen S. H., Raungaard B., Clemmensen P., Bang L. E., May O., Bottcher M., Hove J. D., Frost L., Gislason G., Larsen J., Betton Johansen P., Hald F., Johansen P., Jeppesen J., Nielsen T., Kristensen K. S., Walichiewicz P. M., Lomholdt J. D., Klausen I. C., Nielsen P. K., Davidsen F., Videbaek L., Soots M., Vahula V., Hedman A., Soopold U., Martsin K., Jurgenson T., Kristjan A., Helsinki J. K., Vikman S., Huikuri H., Airaksinen J., Coste P., Ferrari E., Morel O., Montalescot G., Machecourt J., Barone-Rochette G., Mansourati J., Cottin Y., Leclercq F., Belhassane A., Delarche N., Boccara F., Paganelli F., Clerc J., Schiele F., Aboyans V., Probst V., Berland J., Lefevre T., Citron B., Khintibidze I., Shaburishvili T., Pagava Z., Ghlonti R., Lominadze Z., Khabeishvili G., Hemetsberger R., Edward K., Rauch-Krohnert U., Stratmann M., Appel K. -F., Schmidt E., Omran H., Stellbrink C., Dorsel T., Lianopoulos E., Vohringer H. F., Marx R., Zirlik A., Schellenberg D., Heitzer T., Laufs U., Werner C., Gielen S., Nuding S., Winkelmann B., Behrens S., Sydow K., Karakas M., Simonis G., Muenzel T., Werner N., Leggewie S., Bocker D., Braun-Dullaeus R., Toursarkissian N., Jeserich M., Weissbrodt M., Schaeufele T., Weil J., Voller H., Waltenberger J., Natour M., Schmitt S., Muller-Wieland D., Steiner S., Heidenreich L., Offers E., Gremmler U., Killat H., Rieker W., Patsilinakos S., Kartalis A., Manolis A., Sionis D., Chachalis G., Skoumas I., Athyros V., Vardas P., Parthenakis F., Alexopoulos D., Hahalis G., Lekakis J., Hatzitolios A., Fausto Ovando S. R., Arango Benecke J. L., Rodriguez De Leon E. R., Yan B. P., Siu D. C., Turi T., Merkely B., Ungi I., Lupkovics G., Nagy L., Katona A., Edes I., Muller G., Horvath I., Kapin T., Szigeti Z., Falukozy J., Kumbla M., Sandhu M., Annam S., Proddutur N. R., Regella R., Premchand R. K., Mahajan A., Pawar S., Abhyanakar A. D., Kerkar P., Govinda R. A., Oomman A., Sinha D., Patil S. N., Kahali D., Sawhney J., Joshi A. B., Chaudhary S., Harkut P., Guha S., Porwal S., Jujjuru S., Pothineni R. B., Monteiro M. R., Khan A., Iyengar S. S., Grewal J. S., Chopda M., Fulwani M. C., Patange A., Sachin P., Chopra V. K., Goyal N. K., Shinde R., Manakshe G. V., Patki N., Sethi S., Munusamy V., Karna S., Thanvi S., Adhyapak S., Patil C., Pandurangi U., Mathur R., Gupta J., Kalashetti S., Bhagwat A., Raghuraman B., Yerra S. K., Bhansali P., Borse R., Rahul P., Das S., Kumar V., Abdullakutty J., Saathe S., Palimkar P., Sathe S., Atar S., Shechter M., Mosseri M., Arbel Y., Ehud C., Ofer H., Lotan C., Rosenschein U., Katz A., Henkin Y., Francis A., Klutstein M., Nikolsky E., Zukermann R., Turgeman Y., Halabi M., Marmor A., Kornowski R., Jonas M., Amir O., Hasin Y., Rozenman Y., Fuchs S., Zvi V., Hussein O., Gavish D., Vered Z., Caraco Y., Elias M., Tov N., Wolfovitz E., Lishner M., Elias N., Piovaccari G., De Pellegrin A., Garbelotto R., Guardigli G., Marco V., Licciardello G., Auguadro C., Scalise F., Cuccia C., Salvioni A., Musumeci G., Senni M., Calabro P., Novo S., Faggiano P., Metra M., De Cesare N. B., Berti S., Cavallini C., Puccioni E., Galvani M., Tespili M., Piatti P., Palvarini M., De Luca G., Violini R., De Leo A., Olivari Z., Perrone Filardi P., Ferratini M., Racca V., Dai K., Shimatani Y., Kamiya H., Ando K., Takeda Y., Morino Y., Hata Y., Kimura K., Kishi K., Michishita I., Uehara H., Higashikata T., Hirayama A., Hirooka K., Doi Y., Sakagami S., Taguchi S., Koike A., Fujinaga H., Koba S., Kozuma K., Kawasaki T., Ono Y., Shimizu M., Katsuda Y., Wada A., Shinke T., Ako J., Fujii K., Takahashi T., Sakamoto T., Nakao K., Furukawa Y., Sugino H., Tamura R., Mano T., Uematsu M., Utsu N., Ito K., Haraguchi T., Sato K., Ueda Y., Nishibe A., Fujimoto K., Masutani M., Yoon J. H., Kim H. -L., Park H. S., Chae I. -H., Kim M. H., Jeong M. H., Rha S., Kim C., Kim H. -S., Kim H. Y., Hong T., Tahk S. -J., Kim Y., Busmane A., Pontaga N., Strelnieks A., Mintale I., Sime I., Petrulioniene Z., Kavaliauskiene R., Jurgaitiene R., Sakalyte G., Slapikas R., Norkiene S., Misonis N., Kibarskis A., Kubilius R., Bojovski S., Lozance N., Kjovkaroski A., Doncovska S., Ong T. K., Kasim S., Maskon O., Kandasamy B., Liew H. B., Wan Mohamed W. M. I., Garcia Castillo A., Carrillo Calvillo J., Fajardo Campos P., Nunez Fragoso J. C., Bayram Llamas E. A., Alcocer Gamba M. A., Carranza Madrigal J., Gonzalez Salas L. G., Lopez Rosas E., Gonzalez Diaz B., Salcido Vazquez E., Nacoud Ackar A., Llamas Esperon G. A., Martinez Sanchez C. R., Guerrero De Leon M., Suarez Otero R., Fanghanel Salmon G., Perez Rios J. A., Garza Ruiz J. A., Breedveld R. W., Feenema-Aardema M., Borger-Van Der Burg A., Hoogslag P. A., Suryapranata H., Oomen A., Van Haelst P., Wiersma J. J., Basart D., Van Der Wal R. M., Zwart P., Monraats P., Van Kesteren H., Karalis I., Jukema J., Verdel G. J., Brueren B. R., Troquay R. P., Viergever E. P., Al-Windy N. Y., Bartels G. L., Cornel J. H., Hermans W. R., Herrman J. P., Bos R. J., Groutars R. G., Van Der Zwaan C. C., Kaplan R., Lionarons R., Ronner E., Groenemeijer B. E., Bronzwaer P. N., Liem A. A., Rensing B. J., Bokern M. J., Nijmeijer R., Hersbach F. M., Willems F. F., Gosselink A. T., Rasoul S., Elliott J., Wilkins G., Fisher R., Scott D., Hart H., Stewart R., Harding S., Ternouth I., Fisher N., Wilson S., Aitken D., Anscombe R., Davidson L., Tomala T., Nygard O., Sparby J. A., Andersen K., Gullestad L., Jortveit J., Munk P. S., Singsaas E. G., Hurtig U., Calderon Ticona J. R., Durand Velasquez J. R., Negron Miguel S. A., Sanabria Perez E. S., Carrion Chambilla J. M., Chavez Ayala C. A., Castillo Leon R. P., Vargas Gonzales R. J., Hernandez Zuniga J. D., Camacho Cosavalente L. A., Bravo Mannucci J. E., Heredia Landeo J., Llerena Navarro N. C., Roldan Concha Y. M., Rodriguez Chavez V. E., Anchante Hernandez H. A., Zea Nunez C. A., Mogrovejo Ramos W., Ferrolino A., Sy R. A. G., Tirador L., Sy R. G., Matiga G., Coching R. M., Bernan A., Rogelio G., Morales D. D., Tan E., Sulit D. J., Wlodarczak A., Jaworska K., Skonieczny G., Pawlowicz L., Wojewoda P., Busz-Papiez B., Bednarski J., Goch A., Staneta P., Dulak E., Saminski K., Krasowski W., Sudnik W., Zurakowski A., Skorski M., Miklaszewicz B., Kubica J., Andrzej Lipko J., Kostarska-Srokosz E., Piepiorka M., Drzewiecka A., Stasiewski A., Blicharski T., Bystryk L., Szpajer M., Korol M., Czerski T., Mirek-Bryniarska E., Gniot J., Lubinski A., Gorny J., Franek E., Raczak G., Szwed H., Monteiro P., Mesquita Bastos J., Pereira H. H., Martins D., Seixo F., Mendonca C., Botelho A., Caetano F., Minescu B., Istratoaie O., Tesloianu D. N., Cristian G., Dumitrescu S., Podoleanu C. G., Constantinescu M. C., Bengus C. M., Militaru C., Rosu D., Parepa I. R., Matei A. V., Alexandru T. M., Malis M., Coman I., Stanescu-Cioranu R., Dimulescu D., Shvarts Y., Orlikova O., Kobalava Z., Barbarash O. L., Markov V., Lyamina N., Gordienko A., Zrazhevsky K., Vishnevsky A. Y., Gurevich V., Stryuk R., Lomakin N. V., Bokarev I., Khlevchuk T., Shalaev S., Khaisheva L., Chizhov P., Viktorova I., Osokina N., Shchekotov V., Akatova E., Chumakova G., Libov I., Voevoda M. I., Tretyakova T. V., Baranov E., Shustov S., Yakushin S., Gordeev I., Khasanov N., Reshetko O., Sotnikova T., Molchanova O., Nikolaev K., Gapon L., Baranova E., Shogenov Z., Kosmachova E., Povzun A., Egorova L., Tyrenko V. V., Ivanov I. G., Ilya M., Kanorsky S., Simic D., Ivanovic N., Davidovic G., Tasic N., Asanin M. R., Stojic S., Apostolovic S. R., Ilic S., Putnikovic Tosic B., Stankovic A., Arandjelovic A., Radovanovic S., Todic B., Balinovac J., Dincic D. V., Seferovic P., Karadzic A., Dodic S., Dimkovic S., Jakimov T., Poh K. -K., Ong H. Y., Tang I-Shing J., Micko K., Nociar J., Pella D., Fulop P., Hranai M., Palka J., Mazur J., Majercak I., Dzupina A., Fazekas F., Gonsorcik J., Bugan V., Selecky J., Kamensky G., Strbova J., Smik R., Dukat A., Zuran I., Poklukar J., Cernic Suligoj N., Cevc M., Cyster H. P., Ranjith N., Corbett C., Bayat J., Makotoko E. M., du Toit Theron H., Kapp I. E., de V Basson M. M., Lottering H., Van Aswegen D., Van Zyl L. J., Sebastian P. J., Pillay T., Saaiman J. A., Commerford P. J., Cassimjee S., Riaz G., Ebrahim I. O., Sarvan M., Mynhardt J. H., Reuter H., Moodley R., Vida M., Cequier Fillat A. R., Bodi Peris V., Fuentes Jimenez F., Marin F., Cruz Fernandez J. M., Hidalgo Urbano R. J., Gil-Extremera B., Toledo P., Worner Diz F., Garcia-Dorado D., Iniguez A., Gonzalez-Juanatey J. R., Fernandez Portales J., Civeira Murillo F., Matas Pericas L., Zamorano J. L., De Mora Martin M., Bruguera Cortada J., Alonso Martin J. J., Serrano Antolin J. M., De Berrazueta Fernandez J. R., Vazquez de Prada J. A., Diaz Fernandez J. F., Garcia Lledo J. A., Cosin Sales J., Botas Rodriguez J., Gusi Tragant G., Benedicto A., Gonzalez-Juanatey C., Camprubi Potau M., Plaza Perez I., De La Tassa C. M., Loma-Osorio Rincon P., Balaguer Recena J., Escudier J. M., Payeras A. C., Alonso Orcajo N., Valdivielso P., Constantine G., Haniffa R., Tissera N., Amarasekera S., Ponnamperuma C., Fernando N., Fernando K., Jayawardena J., Wijeyasingam S., Ranasinghe G., Ekanayaka R., Mendis S., Senaratne V., Mayurathan G., Sirisena T., Rajapaksha A., Herath J. I., Amarasena N., Berglund S., Rasmanis G., Vedin O., Witt N., Mourtzinis G., Nicol P., Hansen O., Romeo S., Agergaard Jensen S., Torstensson I., Ahremark U., Sundelin T., Moccetti T., Muller C., Mach F., Binde R., Tsai W. -C., Ueng K. -C., Lai W. -T., Liu M. -E., Hwang J. -J., Yin W. -H., Hsieh I. -C., Hsieh M. -J., Lin W. H., Kuo J. -Y., Huang T. -Y., Fang C. -Y., Kaewsuwanna P., Soonfuang W., Jintapakorn W., Sukonthasarn A., Wongpraparut N., Sastravaha K., Sansanayudh N., Kehasukcharoen W., Piyayotai D., Chotnoparatpat P., Camsari A., Kultursay H., Mutlu B., Ersanli M., Demirtas M., Kirma C., Ural E., Koldas L., Karpenko O., Prokhorov A., Vakaluyk I., Myshanych H., Reshotko D., Batushkin V., Rudenko L., Kovalskyi I., Kushnir M., Tseluyko V., Mostovoy Y., Stanislavchuk M., Kyiak Y., Karpenko Y., Malynovsky Y., Klantsa A., Kutniy O., Amosova E., Tashchuk V., Leshchuk O., Rishko M., Kopytsya M., Yagensky A., Vatutin M., Bagriy A., Barna O. M., Ushakov O., Dzyak G., Goloborodko B., Rudenko A., Zheleznyy V., Trevelyan J., Zaman A., Lee K., Moriarty A., Aggarwal R. K., Clifford P., Wong Y. -K., Iqbal S. M., Subkovas E., Braganza D., Sarkar D., Storey R., Griffiths H., McClure S., Muthusamy R., Smith S., Kurian J., Levy T., Barr C., Kadr H., Gerber R., Simaitis A., Soran H., Mathur A., Brodison A., Ayaz M., Cheema M., Oliver R., Thackray S., Mudawi T., Rahman G., Sultan A., Sharman D., Sprigings D., Butler R., Wilkinson P., Lip G. Y., Halcox J., Gallagher S., Ossei-Gerning N., Vardi G., Baldari D., Brabham D., Treasure II C., Dahl C., Palmer B., Wiseman A., Puri S., Mohart A. E., Ince C., Flores E., Wright S., Cheng S. -C., Rosenberg M., Rogers W., Kosinski E., Forgosh L., Waltman J., Khan M., Shoukfeh M., Dagher G., Cambier P., Lieber I., Kumar P., East C., Krichmar P., Hasan M., White L., Knickelbine T., Haldis T., Gillespie E., Amidon T., Suh D., Arif I., Abdallah M., Akhter F., Carlson E., D'Urso M., El-Ahdab F., Nelson W., Moriarty K., Harris B., Cohen S., Carter L., Doty D., Sabatino K., Haddad T., Malik A., Rao S., Mulkay A., Jovin I., Klancke K., Malhotra V., Devarapalli S. K., Koren M., Chandna H., Dodds III G., Goraya T., Bengston J., Janik M., Moran J., Sumner A., Kobayashi J., Davis W., Yazdani S., Pasquini J., Thakkar M., Vedere A., Leimbach W., Rider J., Fenton S., Singh N., Shah A. V., Janosik D., Pepine C., Berman B., Gelormini J., Daniels C., Richard K., Keating F., Kondo N. I., Shetty S., Levite H., Waider W., Takata T., Abu-Fadel M., Shah V., Aggarwal R., Izzo M., Kumar A., Hattler B., Do R., Link C., Bortnick A., Kinzfogl III G., Ghitis A., Larry J., Teufel E., Kuhlman P., Mclaurin B., Zhang W., Thew S., Abbas J., White M., Islam O., Subherwal S., Ranadive N., Vakili B., Gring C., Henderson D., Schuchard T., Farhat N., Kline G., Mahal S., Whitaker J., Speirs S., Andersen R., Daboul N., Horwitz P., Zahr F., Ponce G., Jafar Z., Mcgarvey J., Panchal V., Voyce S., Blok T., Sheldon W., Azizad M. M., Schmalfuss C., Picone M., Pederson R., Herzog W., Friedman K., Lindsey J., Nowins R., Timothy E., Leonard P., Lepor N., El Shahawy M., Weintraub H., Irimpen A., Alonso A., May W., Christopher D., Galski T., Chu A., Mody F., Ramin E., Hodes Z., Rossi J., Rose G., Fairlamb J., Lambert C., Raisinghani A., Abbate A., Vetrovec G., King M., Carey C., Gerber J., Younis L., Park H. T., Vidovich M., Knutson T., Friedman D., Chaleff F., Loussararian A., Rozeman P., Kimmelstiel C., Kuvin J., Silver K., Foster M., Tonnessen G., Espinoza A., Amlani M., Wali A., Malozzi C., Jong G. T., Massey C., Wattanakit K., O'Donnell P. J., Singal D., Jaffrani N., Banuru S., Fisher D., Xenakis M., Perlmutter N., Bhagwat R., Strader J., Blonder R., Akyea-Djamson A., Labroo A., Marais H. J., Claxton E., Weiss R., Kathryn R., Berk M., Rossi P., Joshi P., Khera A., Khaira A. S., Kumkumian G., Lupovitch S., Purow J., Welka S., Hoffman D., Fischer S., Soroka E., Eagerton D., Pancholy S., Ray M., Erenrich N., Farrar M., Pollock S., French W. J., Diamantis S., Guy D., Gimple L., Neustel M., Schwartz S., Pereira E., Albert S., Spriggs D., Strain J., Mittal S., Vo A., Chane M., Hall J., Vijay N., Lotun K., Lester F. M., Nahhas A., Pope T., Nager P., Vohra R., Sharma M., Bashir R., Ahmed H., Berlowitz M., Fishberg R., Barrucco R., Yang E., Radin M., Sporn D., Stapleton D., Eisenberg S., Landzberg J., Mcgough M., Turk S., Schwartz M., Sundram P. S., Jain D., Zainea M., Bayron C., Karlsberg R., Dohad S., Lui H., Keen W., Westerhausen D., Khurana S., Agarwal H., Birchem J., Penny W., Chang M., Murphy S., Henry J., Schifferdecker B., Gilbert J. M., Chalavarya G., Eaton C., Schmedtje J. F., Christenson S., Dotani I., Denham D., Macdonell A., Gibson P., Rahman A., Al Joundi T., Assi N., Conrad G., Kotha P., Love M., Giesler G., Rubenstein H., Gamil D., Akright L., Krawczyk J., Cobler J., Wells T., Welker J., Foster R., Gilmore R., Anderson J., Jacoby D., Gardner G., Dandillaya R., Vora K., Kostis J., Hunter J., Laxson D., Ball E., Lopes R., Egydio F., Kawakami A., Oliveira J., Wozniak J., Matthews A., Ratky C., Valiris J., Berdan L., Hepditch A., Quintero K., Rorick T., Westbrook M., Pascual A., Rovito C., Bezault M., Drouet E., Simon T., Alsweiler C., Luyten A., Butters J., Griffith L., Shaw M., Grunberg L., Islam S., Bregeault M. -F., Bougon N., Faustino D., Fontecave S., Murphy J., Verrier M., Agnetti V., Andersen D., Badreddine E., Bekkouche M., Bouancheau C., Brigui I., Brocklehurst M., Cianciarulo J., Devaul D., Domokos S., Gache C., Gobillot C., Guillou S., Healy J., Heath M., Jaiwal G., Javierre C., Labeirie J., Monier M., Morales U., Mrabti A., Mthombeni B., Okan B., Smith L., Sheller J., Sopena S., Pellan V., Benbernou F., Bengrait N., Lamoureux M., Kralova K., Scemama M., Bejuit R., Coulange A., Berthou C., Repincay J., Lorenzato C., Etienne A., Gouet V., Normand M., Ourliac A., Rondel C., Adamo A., Beltran P., Barraud P., Dubois-Gache H., Halle B., Metwally L., Mourgues M., Sotty M., Vincendet M., Cotruta R., Chengyue Z., Fournie-Lloret D., Morrello C., Perthuis A., Picault P., Zobouyan I., Dempsey M. A., and McClanahan M. A.
Abstract: Background: After acute coronary syndrome, diabetes conveys an excess risk of ischaemic cardiovascular events. A reduction in mean LDL cholesterol to 1·4–1·8 mmol/L with ezetimibe or statins reduces cardiovascular events in patients with an acute coronary syndrome and diabetes. However, the efficacy and safety of further reduction in LDL cholesterol with an inhibitor of proprotein convertase subtilisin/kexin type 9 (PCSK9) after acute coronary syndrome is unknown. We aimed to explore this issue in a prespecified analysis of the ODYSSEY OUTCOMES trial of the PCSK9 inhibitor alirocumab, assessing its effects on cardiovascular outcomes by baseline glycaemic status, while also assessing its effects on glycaemic measures including risk of new-onset diabetes. Methods: ODYSSEY OUTCOMES was a randomised, double-blind, placebo-controlled trial, done at 1315 sites in 57 countries, that compared alirocumab with placebo in patients who had been admitted to hospital with an acute coronary syndrome (myocardial infarction or unstable angina) 1–12 months before randomisation and who had raised concentrations of atherogenic lipoproteins despite use of high-intensity statins. Patients were randomly assigned (1:1) to receive alirocumab or placebo every 2 weeks; randomisation was stratified by country and was done centrally with an interactive voice-response or web-response system. Alirocumab was titrated to target LDL cholesterol concentrations of 0·65–1·30 mmol/L. In this prespecified analysis, we investigated the effect of alirocumab on cardiovascular events by glycaemic status at baseline (diabetes, prediabetes, or normoglycaemia)—defined on the basis of patient history, review of medical records, or baseline HbA1c or fasting serum glucose—and risk of new-onset diabetes among those without diabetes at baseline. The primary endpoint was a composite of death from coronary heart disease, non-fatal myocardial infarction, fatal or non-fatal ischaemic stroke, or unstable angina requiring
Published: 2019

30. Reproducibilidad de la curva de tolerancia a la glucosa en el diagnóstico de la diabetes mellitus gestacional

Author: Salcido Montenegro, Alejandro and Salcido Montenegro, Alejandro
Abstract: La diabetes mellitus gestacional (DMG) es la complicación endocrinológica más prevalente durante el embarazo (1). Se ha relacionado con resultados adversos perinatales tanto maternos como neonatales, así como aumento de riesgo a largo plazo para la madre de padecer diabetes mellitus y síndrome metabólico (1). Para el diagnóstico de la DMG se han propuesto varios protocolos que utilizan diferentes umbrales de la curva de tolerancia oral a la glucosa (CTG) y se sigue debatiendo cuál tiene más precisión diagnóstica (2–4). En consecuencia, existe una falta de consenso con respecto a las recomendaciones de cribado propuestas por las guías de práctica clínica (5–7). Sin embargo, la CTG tiene baja reproducibilidad lo cual es una limitante metodológica ya conocida (8–10). A pesar de lo anterior, las autoridades en este campo recomiendan establecer un diagnóstico de DMG basado Versión 1.0 Diciembre 2021 4 en el resultado de un único resultado alterado de CTG de 75 g durante la semana 24 a 28 de gestación (4,11,12). Esto contrasta con la recomendación de repetición de una CTG anormal en casi todos los escenarios clínicos para el diagnóstico de diabetes no gestacional (4). Recientemente, algunos investigadores han publicado estudios sobre la concordancia y la falta de reproducibilidad de la CTG de 75 g de un solo paso para el diagnóstico de DMG. Sin embargo, algunas deficiencias metodológicas restringen la validez de sus resultados (13,14). El objetivo de este estudio fue evaluar la reproducibilidad de la CTG de 75 g en mujeres embarazadas a las 24, 26 y 28 semanas de gestación. Se realizó un estudio observacional prospectivo mujeres mayores a 18 años cursando un embarazo sano las cuales fueron reclutadas en la clínica de atención prenatal de nuestro hospital. Se realizó una valoración clínica y se realizaron CTG de 75 g a las 24, 26 y 28 semanas de gestación. Todas las muestras de sangre se procesaron simultáneamente. En total se incluyeron 92 mujeres embarazadas con una edad
Published: 2021

31. The BAHAMAS project: Evaluating the accuracy of the halo model in predicting the non-linear matter power spectrum

Author: Acuto, Alberto, McCarthy, Ian G., Kwan, Juliana, Salcido, Jaime, Stafford, Sam G., Font, Andreea S., Acuto, Alberto, McCarthy, Ian G., Kwan, Juliana, Salcido, Jaime, Stafford, Sam G., and Font, Andreea S.
Abstract: The halo model formalism is widely adopted in cosmological studies for predicting the growth of large-scale structure in the Universe. However, to date there have been relatively few direct comparisons of the halo model with more accurate (but much more computationally expensive) cosmological simulations. We test the accuracy of the halo model in reproducing the non-linear matter power spectrum, P(k), when the main inputs of the halo model (specifically the matter density profiles, halo mass function, and linear bias) are taken directly from the BAHAMAS simulations and we assess how well the halo model reproduces P(k) from the same simulations. We show that the halo model generally reproduces P(k) in the deep non-linear regime (1-halo) to typically a few percent accuracy, but struggles to reproduce (approx. 15% error) P(k) at intermediate scales of 0.1 < k [h/ Mpc] < 3 at z=0, marking the transition between the 1-halo and 2-halo terms. We show that the magnitude of this error is a strong function of the halo mass definition (through its effects on radial extent of haloes) and of redshift. Furthermore, we test the accuracy of the halo model in recovering the relative impact of baryons on P(k). We show that the systematic errors in recovering the absolute P(k) largely cancel when considering the relative impact of baryons. This suggests that the halo model can make precise predictions for the baryonic suppression, offering a fast and accurate way to adjust collisionless matter power spectra for the presence of baryons and associated processes., Comment: 16 pages, 11 figures, accepted for publication in MNRAS
Published: 2021
Full Text: View/download PDF

32. Is the writing on the skull?

Author: UCL - SSS/IREC/SLUC - Pôle St.-Luc, UCL - (SLuc) Service des urgences, Genbrugge, Cornelia, Salcido, David D, UCL - SSS/IREC/SLUC - Pôle St.-Luc, UCL - (SLuc) Service des urgences, Genbrugge, Cornelia, and Salcido, David D
Abstract: No abstract available
Published: 2021

33. Intervención en duelo y mindfulness

Author: Salcido Cibrián, Liliana Jazmín, Jiménez Jiménez, Óliver, Ramos Diaz, Natalia, Sánchez Cabada, Mario Enrique, Salcido Cibrián, Liliana Jazmín, Jiménez Jiménez, Óliver, Ramos Diaz, Natalia, and Sánchez Cabada, Mario Enrique
Abstract: This study assesses the effect of and Minfulness Emotional Intelligence Program (PINEP) intervention on adults who have suffered the loss of a loved one. The intervention lasts twelve sessions, two and a half hours per week. The sample is made up of 17 adults from an age range of between 26 y 71 años (M= 50.59; SD= 14.44). Participants who complete the interventión show greater tolerance to discomfort, developing skill in mindfulness [t(16) =4.17, d= 1.04, p ≤ .001], and a decrease in state anxiety [t(16)= -2.94, d= .72, p= .005], trait anxiety [t(16)= -3.48, d= .78, p ≤ .001] and depression [t(16)= -3.18, d= .66, p= .003]., El presente estudio evalúa el efecto de una intervención adaptada del Programa Inteligencia Emocional Plena (PINEP) en adultos que han sufrido la pérdida de un ser querido. La intervención tiene una duración de doce sesiones, de dos horas y media por semana. La muestra está compuesta por 17 adultos de un rango de edad de entre 26 y 71 años (M = 50.59; SD = 14.44). Los participantes que completaron la intervención, muestran una mayor tolerancia al malestar desarrollando habilidades en mindfulness [t(16) = 4.17, d = 1.04, p ≤ .001] y una disminución en ansiedad estado [t(16) = -2.94, d = .72, p = .005], ansiedad rasgo [t(16) = -3.48, d = .78, p ≤ .001] y depresión [t(16) = -3.18, d = .66, p= .003]
Published: 2021

34. Variation in hypoglycemia ascertainment and report in type 2 diabetes observational studies: a meta-epidemiological study

Author: Rodríguez Gutiérrez, René, Salcido Montenegro, Alejandro, González González, José Gerardo, McCoy, Rozalina G, Rodríguez Gutiérrez, René, Salcido Montenegro, Alejandro, González González, José Gerardo, and McCoy, Rozalina G
Abstract: Introduction Observational studies constitute an important evidence base for hypoglycemia in diabetes management. This requires consistent and reliable ascertainment and reporting methodology, particularly in studies of type 2 diabetes where hypoglycemia risk is heterogeneous. Therefore, we aimed to examine the definitions of hypoglycemia used by observational studies of patients with type 2 diabetes. Research design and methods We conducted a meta-epidemiological review of observational studies reporting on hypoglycemia or evaluating glucose-lowering medications in adults with type 2 diabetes. MEDLINE and Google Scholar were searched from January 1970 to May 2018. The definitions of non-severe, severe and nocturnal hypoglycemia were examined.Results We reviewed 243 studies: 47.7% reported on non-severe hypoglycemia, 77.8% on severe hypoglycemia and 16.9% on nocturnal hypoglycemia; 5.8% did not specify. Among 116 studies reporting non-severe hypoglycemia, 18.1% provided no definition, 23.3% used glucose values, 38.8% relied on patient-reported symptoms, 17.2% accepted either glucose values or patient-reported symptoms and 2.6% relied on International Classification of Disease (ICD) codes. Among 189 studies reporting severe hypoglycemia, 11.1% provided no definition, 53.4% required symptoms needing assistance, 3.7% relied on glucose values, 14.8% relied on ICD codes, 2.6% relied on ICD codes or glucose values and 15.9% required both symptoms needing assistance and glucose values. Overall, 38.2% of non-severe and 67.7% of severe hypoglycemia definitions were consistent with the International Hypoglycemia Study Group.Conclusions The marked heterogeneity in how hypoglycemia is defined in observational studies may contribute to the inadequate understanding and correction of hypoglycemia risk factors among patients with type 2 diabetes.
Published: 2021

35. Reproducibilidad de la curva de tolerancia a la glucosa en el diagnóstico de la diabetes mellitus gestacional

Author: Salcido Montenegro, Alejandro and Salcido Montenegro, Alejandro
Abstract: La diabetes mellitus gestacional (DMG) es la complicación endocrinológica más prevalente durante el embarazo (1). Se ha relacionado con resultados adversos perinatales tanto maternos como neonatales, así como aumento de riesgo a largo plazo para la madre de padecer diabetes mellitus y síndrome metabólico (1). Para el diagnóstico de la DMG se han propuesto varios protocolos que utilizan diferentes umbrales de la curva de tolerancia oral a la glucosa (CTG) y se sigue debatiendo cuál tiene más precisión diagnóstica (2–4). En consecuencia, existe una falta de consenso con respecto a las recomendaciones de cribado propuestas por las guías de práctica clínica (5–7). Sin embargo, la CTG tiene baja reproducibilidad lo cual es una limitante metodológica ya conocida (8–10). A pesar de lo anterior, las autoridades en este campo recomiendan establecer un diagnóstico de DMG basado Versión 1.0 Diciembre 2021 4 en el resultado de un único resultado alterado de CTG de 75 g durante la semana 24 a 28 de gestación (4,11,12). Esto contrasta con la recomendación de repetición de una CTG anormal en casi todos los escenarios clínicos para el diagnóstico de diabetes no gestacional (4). Recientemente, algunos investigadores han publicado estudios sobre la concordancia y la falta de reproducibilidad de la CTG de 75 g de un solo paso para el diagnóstico de DMG. Sin embargo, algunas deficiencias metodológicas restringen la validez de sus resultados (13,14). El objetivo de este estudio fue evaluar la reproducibilidad de la CTG de 75 g en mujeres embarazadas a las 24, 26 y 28 semanas de gestación. Se realizó un estudio observacional prospectivo mujeres mayores a 18 años cursando un embarazo sano las cuales fueron reclutadas en la clínica de atención prenatal de nuestro hospital. Se realizó una valoración clínica y se realizaron CTG de 75 g a las 24, 26 y 28 semanas de gestación. Todas las muestras de sangre se procesaron simultáneamente. En total se incluyeron 92 mujeres embarazadas con una edad
Published: 2021

36. The state of neuro-oncology during the COVID-19 pandemic:A worldwide assessment

Author: Mrugala, MacIej M., Ostrom, Quinn T., Pressley, Shelley M., Taylor, Jennie W., Thomas, Alissa A., Wefel, Jeffrey S., Coven, Scott L., Acquaye, Alvina A., Haynes, Chas, Agnihotri, Sameer, Lim, Michael, Peters, Katherine B., Sulman, Erik P., Salcido, Joanne T., Butowski, Nicholas A., Hervey-Jumper, Shawn, Mansouri, Alireza, Oliver, Kathy R., Porter, Alyx B., Nassiri, Farshad, Schiff, David, Dunbar, Erin M., Hegi, Monika E., Armstrong, Terri S., Van Den Bent, Martin J., Chang, Susan M., Zadeh, Gelareh, Chheda, Milan G., Mrugala, MacIej M., Ostrom, Quinn T., Pressley, Shelley M., Taylor, Jennie W., Thomas, Alissa A., Wefel, Jeffrey S., Coven, Scott L., Acquaye, Alvina A., Haynes, Chas, Agnihotri, Sameer, Lim, Michael, Peters, Katherine B., Sulman, Erik P., Salcido, Joanne T., Butowski, Nicholas A., Hervey-Jumper, Shawn, Mansouri, Alireza, Oliver, Kathy R., Porter, Alyx B., Nassiri, Farshad, Schiff, David, Dunbar, Erin M., Hegi, Monika E., Armstrong, Terri S., Van Den Bent, Martin J., Chang, Susan M., Zadeh, Gelareh, and Chheda, Milan G.
Abstract: Background:It remains unknown how the COVID-19 pandemic has changed neuro-oncology clinical practice, training, and research efforts. Methods:We performed an international survey of practitioners, scientists, and trainees from 21 neuro-oncology organizations across 6 continents, April 24-May 17, 2020. We assessed clinical practice and research environments, institutional preparedness and support, and perceived impact on patients. Results:Of 582 respondents, 258 (45%) were US-based and 314 (55%) international. Ninety-four percent of participants reported changes in their clinical practice. Ninety-five percent of respondents converted at least some practice to telemedicine. Ten percent of practitioners felt the need to see patients in person, specifically because of billing concerns and pressure from their institutions. Sixty-seven percent of practitioners suspended enrollment for at least one clinical trial, including 62% suspending phase III trial enrollments. More than 50% believed neuro-oncology patients were at increased risk for COVID-19. Seventy-one percent of clinicians feared for their own personal safety or that of their families, specifically because of their clinical duties; 20% had inadequate personal protective equipment. While 69% reported increased stress, 44% received no psychosocial support from their institutions. Thirty-seven percent had salary reductions and 63% of researchers temporarily closed their laboratories. However, the pandemic created positive changes in perceived patient satisfaction, communication quality, and technology use to deliver care and mediate interactions with other practitioners. Conclusions:The pandemic has changed treatment schedules and limited investigational treatment options. Institutional lack of support created clinician and researcher anxiety. Communication with patients was satisfactory. We make recommendations to guide clinical and scientific infrastructure moving forward and address the personal challenges of
Published: 2021

37. Aptitud territorial para cultivo de tilapia (Oreochromis niloticus) con tecnología biofloc en el estado de Durango, México

Author: Garza Martínez, Miguel Ángel, Alonzo Rojo, Fernando, Nava Camberos, Urbano, Salcido Gameros, David, Estrada Arellano, Josué Raymundo, Valenzuela Garcia, Ana Alejandra, Cardoza Martínez, Gabriel Fernando, Garza Martínez, Miguel Ángel, Alonzo Rojo, Fernando, Nava Camberos, Urbano, Salcido Gameros, David, Estrada Arellano, Josué Raymundo, Valenzuela Garcia, Ana Alejandra, and Cardoza Martínez, Gabriel Fernando
Abstract: Durango state has ideal environmental conditions to increaseaquaculture development; however, in recent years the production of this activityhas decreased and descended to the last places at the national level. One of thealternatives for a sustainable aquaculture development in the state is the applicationof Biofloc Technology (BFT) in production units of tilapia. The aim of this studywas to determine the land suitability of the state for tilapia (Oreochromis niloticus)production with BFT. A multi-criteria evaluation was carried out by means ofweighted sum with the support of a group of experts. An aptitude map for the activitywas generated through Geographic Information System in which five categories ofaptitude were established: very low, low, medium, high and very high. An area withhigh and very high aptitude of 50 182 km2was estimated to develop the activityin the state, the regions with the highest aptitude were found in the central eastand north of the state, mainly in the semi-arid zone. 39.67% of the high and veryhigh aptitude estimated for the activity was concentrated in the municipalities with aMedium or Low Human Development Index (HDI), which represents an opportunityto increase food security in these municipalities. The results of this study will allowidentifying suitable sites for implementing aquaculture projects in the state with anoptimal approach in the use of water resources., El estado de Durango posee condiciones ambientales ideales para incrementar el desarrollo acuícola, pero en los últimos años ha disminuido la producción de esta actividad y descendido a los últimos lugares a nivel nacional. Una de las alternativas para un desarrollo acuícola sustentable en el estado es la aplicación de la Tecnología Biofloc (BFT) en unidades de producción de tilapia. El objetivo del presente estudio fue determinar la aptitud territorial del estado para la producción de tilapia (Oreochromis niloticus) con BFT. Se realizó una evaluación multicriterio mediante suma ponderada con apoyo de un grupo de expertos. También se generó un mapa de aptitud para la actividad mediante Sistemas de Información Geográfica en el que se establecieron cinco categorías de aptitud: muy baja, baja, media, alta y muy alta. La superficie estimada con aptitud alta y muy alta fue de 50 182 km2 para desarrollar la actividad en el estado, las regiones con mayor aptitud se encontraron en el centro este y norte de la entidad, principalmente en la zona semiárida. El 39.67% de la superficie con aptitud alta y muy alta estimada se concentró en los municipios con un Índice de Desarrollo Humano (IDH) Medio o Bajo, lo cual representa un área de oportunidad para incrementar la seguridad alimentaria en estos municipios. Los resultados ayudarán en la identificación de sitios aptos para la implementación de proyectos acuícolas en el estado conenfoque óptimo en el uso del recurso hídrico.
Published: 2021

38. Variation in hypoglycemia ascertainment and report in type 2 diabetes observational studies: a meta-epidemiological study

Author: Rodríguez Gutiérrez, René, Salcido Montenegro, Alejandro, González González, José Gerardo, McCoy, Rozalina G, Rodríguez Gutiérrez, René, Salcido Montenegro, Alejandro, González González, José Gerardo, and McCoy, Rozalina G
Abstract: Introduction Observational studies constitute an important evidence base for hypoglycemia in diabetes management. This requires consistent and reliable ascertainment and reporting methodology, particularly in studies of type 2 diabetes where hypoglycemia risk is heterogeneous. Therefore, we aimed to examine the definitions of hypoglycemia used by observational studies of patients with type 2 diabetes. Research design and methods We conducted a meta-epidemiological review of observational studies reporting on hypoglycemia or evaluating glucose-lowering medications in adults with type 2 diabetes. MEDLINE and Google Scholar were searched from January 1970 to May 2018. The definitions of non-severe, severe and nocturnal hypoglycemia were examined.Results We reviewed 243 studies: 47.7% reported on non-severe hypoglycemia, 77.8% on severe hypoglycemia and 16.9% on nocturnal hypoglycemia; 5.8% did not specify. Among 116 studies reporting non-severe hypoglycemia, 18.1% provided no definition, 23.3% used glucose values, 38.8% relied on patient-reported symptoms, 17.2% accepted either glucose values or patient-reported symptoms and 2.6% relied on International Classification of Disease (ICD) codes. Among 189 studies reporting severe hypoglycemia, 11.1% provided no definition, 53.4% required symptoms needing assistance, 3.7% relied on glucose values, 14.8% relied on ICD codes, 2.6% relied on ICD codes or glucose values and 15.9% required both symptoms needing assistance and glucose values. Overall, 38.2% of non-severe and 67.7% of severe hypoglycemia definitions were consistent with the International Hypoglycemia Study Group.Conclusions The marked heterogeneity in how hypoglycemia is defined in observational studies may contribute to the inadequate understanding and correction of hypoglycemia risk factors among patients with type 2 diabetes.
Published: 2021

39. The BAHAMAS project: Evaluating the accuracy of the halo model in predicting the non-linear matter power spectrum

Author: Acuto, Alberto, McCarthy, Ian G., Kwan, Juliana, Salcido, Jaime, Stafford, Sam G., Font, Andreea S., Acuto, Alberto, McCarthy, Ian G., Kwan, Juliana, Salcido, Jaime, Stafford, Sam G., and Font, Andreea S.
Abstract: The halo model formalism is widely adopted in cosmological studies for predicting the growth of large-scale structure in the Universe. However, to date there have been relatively few direct comparisons of the halo model with more accurate (but much more computationally expensive) cosmological simulations. We test the accuracy of the halo model in reproducing the non-linear matter power spectrum, P(k), when the main inputs of the halo model (specifically the matter density profiles, halo mass function, and linear bias) are taken directly from the BAHAMAS simulations and we assess how well the halo model reproduces P(k) from the same simulations. We show that the halo model generally reproduces P(k) in the deep non-linear regime (1-halo) to typically a few percent accuracy, but struggles to reproduce (approx. 15% error) P(k) at intermediate scales of 0.1 < k [h/ Mpc] < 3 at z=0, marking the transition between the 1-halo and 2-halo terms. We show that the magnitude of this error is a strong function of the halo mass definition (through its effects on radial extent of haloes) and of redshift. Furthermore, we test the accuracy of the halo model in recovering the relative impact of baryons on P(k). We show that the systematic errors in recovering the absolute P(k) largely cancel when considering the relative impact of baryons. This suggests that the halo model can make precise predictions for the baryonic suppression, offering a fast and accurate way to adjust collisionless matter power spectra for the presence of baryons and associated processes., Comment: 16 pages, 11 figures, accepted for publication in MNRAS
Published: 2021
Full Text: View/download PDF

40. Variation in hypoglycemia ascertainment and report in type 2 diabetes observational studies: a meta-epidemiological study

Author: Rodríguez Gutiérrez, René, Salcido Montenegro, Alejandro, González González, José Gerardo, McCoy, Rozalina G, Rodríguez Gutiérrez, René, Salcido Montenegro, Alejandro, González González, José Gerardo, and McCoy, Rozalina G
Abstract: Introduction Observational studies constitute an important evidence base for hypoglycemia in diabetes management. This requires consistent and reliable ascertainment and reporting methodology, particularly in studies of type 2 diabetes where hypoglycemia risk is heterogeneous. Therefore, we aimed to examine the definitions of hypoglycemia used by observational studies of patients with type 2 diabetes. Research design and methods We conducted a meta-epidemiological review of observational studies reporting on hypoglycemia or evaluating glucose-lowering medications in adults with type 2 diabetes. MEDLINE and Google Scholar were searched from January 1970 to May 2018. The definitions of non-severe, severe and nocturnal hypoglycemia were examined.Results We reviewed 243 studies: 47.7% reported on non-severe hypoglycemia, 77.8% on severe hypoglycemia and 16.9% on nocturnal hypoglycemia; 5.8% did not specify. Among 116 studies reporting non-severe hypoglycemia, 18.1% provided no definition, 23.3% used glucose values, 38.8% relied on patient-reported symptoms, 17.2% accepted either glucose values or patient-reported symptoms and 2.6% relied on International Classification of Disease (ICD) codes. Among 189 studies reporting severe hypoglycemia, 11.1% provided no definition, 53.4% required symptoms needing assistance, 3.7% relied on glucose values, 14.8% relied on ICD codes, 2.6% relied on ICD codes or glucose values and 15.9% required both symptoms needing assistance and glucose values. Overall, 38.2% of non-severe and 67.7% of severe hypoglycemia definitions were consistent with the International Hypoglycemia Study Group.Conclusions The marked heterogeneity in how hypoglycemia is defined in observational studies may contribute to the inadequate understanding and correction of hypoglycemia risk factors among patients with type 2 diabetes.
Published: 2021

41. Variación espacio-temporal en la densidad y estructura de tallas de Megastraea undosa (Gastropoda: Turbinidae) en la costa occidental de Baja California Sur, México

Author: Hernández Padilla, Juan C., Navarro-González, Jessica Adriana, Gutiérrez-González, José Luis, Yee-Duarte, Josué Alonso, Salcido Guevara, Luis Antonio, Sánchez Cárdenas, Rebeca, Hernández Padilla, Juan C., Navarro-González, Jessica Adriana, Gutiérrez-González, José Luis, Yee-Duarte, Josué Alonso, Salcido Guevara, Luis Antonio, and Sánchez Cárdenas, Rebeca
Abstract: Megastraea undosa snail is part of the economically important benthic fisheries of the western coast of Baja California Sur, Mexico. Studies on their density and size structure are important because they are part of the stock assessments that support the fishery management. The objective of this work was to determine the spatial-temporal variations of density and size structure of the M. undosa snail in the western coast of Baja California Sur, Mexico. The size structure was determined by sampling site and analyzed based on the legal minimum size and fishing zone. In the spatial analysis, density (ind. m-2) and average size were analyzed by depth stratum and fishing area. For the temporal analysis, density and average size were analyzed by depth stratum only for zone 3 in the period 1999 to 2014. The results showed spatial differences in density and average size of the M. undosa snail on the west coast of Baja California Sur, with small sizes dominating at the southernmost fishing site. Spatial and temporal variations are discussed as a function of macroalgae availability, as well as sea surface temperature and seasonal upwelling. Knowledge of spatial-temporal behavior of the sizes and densities of M. undosa will serve as basis for its future management, based on a biological or bioeconomic approach., Resumen: El caracol Megastraea undosa forma parte de las pesquerías de recursos bentónicos económicamente importantes de la costa occidental de Baja California Sur, México. Los estudios sobre su densidad y estructura de tallas son importantes debido a que forman parte de las evaluaciones de stock en apoyo al manejo de su pesquería. El objetivo de este trabajo fue determinar las variaciones espacio-temporales de la densidad y estructura de tallas del caracol M. undosa en la costa occidental de Baja California Sur, México. Se determinó la estructura de tallas por sitio de muestreo y se analizó con base en la talla mínima legal y por zona de pesca. En el análisis espacial, la densidad (ind. m-2) y talla promedio se analizaron por estrato de profundidad y zona de pesca. El análisis temporal, densidad y talla promedio fueron analizadas por estrato de profundidad, únicamente para la zona 3, en el periodo comprendido desde 1999-2014. Los resultados demostraron diferencias espaciales de la densidad y talla promedio del caracol M. undosa en la costa occidental de Baja California Sur, y en el sitio de pesca más sureño dominaron las tallas pequeñas. Se discuten las variaciones espacio-temporales de la densidad y estructura de tallas en función de la disponibilidad de macroalgas, así como de la temperatura superficial del mar y las surgencias estacionales. El conocimiento del comportamiento espacio-temporal de la talla y densidad de M. undosa servirá de base para su futuro manejo, con base en un enfoque biológico o bioeconómico para el establecimiento de puntos de referencia.
Published: 2021

42. Variation in hypoglycemia ascertainment and report in type 2 diabetes observational studies: a meta-epidemiological study

Author: Rodríguez Gutiérrez, René, Salcido Montenegro, Alejandro, González González, José Gerardo, McCoy, Rozalina G, Rodríguez Gutiérrez, René, Salcido Montenegro, Alejandro, González González, José Gerardo, and McCoy, Rozalina G
Abstract: Introduction Observational studies constitute an important evidence base for hypoglycemia in diabetes management. This requires consistent and reliable ascertainment and reporting methodology, particularly in studies of type 2 diabetes where hypoglycemia risk is heterogeneous. Therefore, we aimed to examine the definitions of hypoglycemia used by observational studies of patients with type 2 diabetes. Research design and methods We conducted a meta-epidemiological review of observational studies reporting on hypoglycemia or evaluating glucose-lowering medications in adults with type 2 diabetes. MEDLINE and Google Scholar were searched from January 1970 to May 2018. The definitions of non-severe, severe and nocturnal hypoglycemia were examined.Results We reviewed 243 studies: 47.7% reported on non-severe hypoglycemia, 77.8% on severe hypoglycemia and 16.9% on nocturnal hypoglycemia; 5.8% did not specify. Among 116 studies reporting non-severe hypoglycemia, 18.1% provided no definition, 23.3% used glucose values, 38.8% relied on patient-reported symptoms, 17.2% accepted either glucose values or patient-reported symptoms and 2.6% relied on International Classification of Disease (ICD) codes. Among 189 studies reporting severe hypoglycemia, 11.1% provided no definition, 53.4% required symptoms needing assistance, 3.7% relied on glucose values, 14.8% relied on ICD codes, 2.6% relied on ICD codes or glucose values and 15.9% required both symptoms needing assistance and glucose values. Overall, 38.2% of non-severe and 67.7% of severe hypoglycemia definitions were consistent with the International Hypoglycemia Study Group.Conclusions The marked heterogeneity in how hypoglycemia is defined in observational studies may contribute to the inadequate understanding and correction of hypoglycemia risk factors among patients with type 2 diabetes.
Published: 2021

43. Reproducibilidad de la curva de tolerancia a la glucosa en el diagnóstico de la diabetes mellitus gestacional

Author: Salcido Montenegro, Alejandro and Salcido Montenegro, Alejandro
Abstract: La diabetes mellitus gestacional (DMG) es la complicación endocrinológica más prevalente durante el embarazo (1). Se ha relacionado con resultados adversos perinatales tanto maternos como neonatales, así como aumento de riesgo a largo plazo para la madre de padecer diabetes mellitus y síndrome metabólico (1). Para el diagnóstico de la DMG se han propuesto varios protocolos que utilizan diferentes umbrales de la curva de tolerancia oral a la glucosa (CTG) y se sigue debatiendo cuál tiene más precisión diagnóstica (2–4). En consecuencia, existe una falta de consenso con respecto a las recomendaciones de cribado propuestas por las guías de práctica clínica (5–7). Sin embargo, la CTG tiene baja reproducibilidad lo cual es una limitante metodológica ya conocida (8–10). A pesar de lo anterior, las autoridades en este campo recomiendan establecer un diagnóstico de DMG basado Versión 1.0 Diciembre 2021 4 en el resultado de un único resultado alterado de CTG de 75 g durante la semana 24 a 28 de gestación (4,11,12). Esto contrasta con la recomendación de repetición de una CTG anormal en casi todos los escenarios clínicos para el diagnóstico de diabetes no gestacional (4). Recientemente, algunos investigadores han publicado estudios sobre la concordancia y la falta de reproducibilidad de la CTG de 75 g de un solo paso para el diagnóstico de DMG. Sin embargo, algunas deficiencias metodológicas restringen la validez de sus resultados (13,14). El objetivo de este estudio fue evaluar la reproducibilidad de la CTG de 75 g en mujeres embarazadas a las 24, 26 y 28 semanas de gestación. Se realizó un estudio observacional prospectivo mujeres mayores a 18 años cursando un embarazo sano las cuales fueron reclutadas en la clínica de atención prenatal de nuestro hospital. Se realizó una valoración clínica y se realizaron CTG de 75 g a las 24, 26 y 28 semanas de gestación. Todas las muestras de sangre se procesaron simultáneamente. En total se incluyeron 92 mujeres embarazadas con una edad
Published: 2021

44. Reproducibilidad de la curva de tolerancia a la glucosa en el diagnóstico de la diabetes mellitus gestacional

Author: Salcido Montenegro, Alejandro and Salcido Montenegro, Alejandro
Abstract: La diabetes mellitus gestacional (DMG) es la complicación endocrinológica más prevalente durante el embarazo (1). Se ha relacionado con resultados adversos perinatales tanto maternos como neonatales, así como aumento de riesgo a largo plazo para la madre de padecer diabetes mellitus y síndrome metabólico (1). Para el diagnóstico de la DMG se han propuesto varios protocolos que utilizan diferentes umbrales de la curva de tolerancia oral a la glucosa (CTG) y se sigue debatiendo cuál tiene más precisión diagnóstica (2–4). En consecuencia, existe una falta de consenso con respecto a las recomendaciones de cribado propuestas por las guías de práctica clínica (5–7). Sin embargo, la CTG tiene baja reproducibilidad lo cual es una limitante metodológica ya conocida (8–10). A pesar de lo anterior, las autoridades en este campo recomiendan establecer un diagnóstico de DMG basado Versión 1.0 Diciembre 2021 4 en el resultado de un único resultado alterado de CTG de 75 g durante la semana 24 a 28 de gestación (4,11,12). Esto contrasta con la recomendación de repetición de una CTG anormal en casi todos los escenarios clínicos para el diagnóstico de diabetes no gestacional (4). Recientemente, algunos investigadores han publicado estudios sobre la concordancia y la falta de reproducibilidad de la CTG de 75 g de un solo paso para el diagnóstico de DMG. Sin embargo, algunas deficiencias metodológicas restringen la validez de sus resultados (13,14). El objetivo de este estudio fue evaluar la reproducibilidad de la CTG de 75 g en mujeres embarazadas a las 24, 26 y 28 semanas de gestación. Se realizó un estudio observacional prospectivo mujeres mayores a 18 años cursando un embarazo sano las cuales fueron reclutadas en la clínica de atención prenatal de nuestro hospital. Se realizó una valoración clínica y se realizaron CTG de 75 g a las 24, 26 y 28 semanas de gestación. Todas las muestras de sangre se procesaron simultáneamente. En total se incluyeron 92 mujeres embarazadas con una edad
Published: 2021

45. Territorial Governance. A Comparative Research of Local Agro-Food Systems in Mexico

Author: Ministerio de Economía y Competitividad (España), Torres Salcido, Gerardo [0000-0002-0482-8847], Sanz Cañada, Javier [0000-0002-2404-9488], Torres Salcido, Gerardo, Sanz Cañada, Javier, Ministerio de Economía y Competitividad (España), Torres Salcido, Gerardo [0000-0002-0482-8847], Sanz Cañada, Javier [0000-0002-2404-9488], Torres Salcido, Gerardo, and Sanz Cañada, Javier
Abstract: The article attempts to provide a theoretical discussion on territorial governance by presenting both the neo-institutionalist position and the De Sousa Santos’ alternative models, with a view of highlighting the dimensions that can be relevant to understanding the territorial dynamics of Local Agro-food Systems (LAFS). The paper aims to build up a system of indicators, structured in four dimensions, concerning the territorial governance of LAFS: (i) multi-level coordination; (ii) democratic participation and accountability; (iii) cooperation among producers and other stakeholders and (iv) relationships with the environment. We verify, as a hypothesis, that the typology of markets to which the identity-based products are directed plays a decisive role in the way that processes of territorial governance of LAFS are constructed. The results of an empirical research, developed in four LAFS in Mexico, are presented: prickly pear cactus in Morelos, blackberry in Michoacán, cuitlacoche (corn smut) in Tlaxcala and coffee in Veracruz. Two types of territorial governance of LAFS may be distinguished: those that can be strengthened by the geographical and organisational proximity of the markets and the action of local stakeholders and governments—prickly pear cactus and cuitlacoche—versus those which are devoted to export and are conducted by large companies in which marketing networks involve certification mechanisms and a large number of institutions—coffee and blackberry.
Published: 2018

46. Ventricular fibrillation waveform characteristics in out-of-hospital cardiac arrest and cardiovascular medication use

Author: Hulleman, Michiel, Salcido, David D, Menegazzi, James J, Souverein, Patrick C, Tan, Hanno L, Blom, Marieke T, Koster, Rudolph W, Hulleman, Michiel, Salcido, David D, Menegazzi, James J, Souverein, Patrick C, Tan, Hanno L, Blom, Marieke T, and Koster, Rudolph W
Abstract: BACKGROUND: Ventricular fibrillation (VF) waveform analyses are considered a reliable proxy for OHCA characteristics in out-of-hospital cardiac arrest (OHCA), but patient characteristics such as cardiovascular medication use might also be associated with changes in VF waveform measures.OBJECTIVES: To assess associations between cardiovascular medication use and amplitude spectrum area (AMSA) of VF, while correcting for the presence of cardiovascular disease (CVD), CVD risk factors, and OHCA characteristics.METHODS: We included 990 VF patients from an OHCA registry in the Netherlands, with available information on medical history and cardiovascular medication use. Associations between cardiovascular medication use and AMSA were tested in a multivariate linear regression model, adjusting for CVD, CVD risk factors, and OHCA characteristics. Model performance was shown using R-square and R-change. We also calculated whether medication use was associated with faster dissolution of AMSA to lower values with increasing time delay.RESULTS: In the multivariate analysis, when corrected for CVD, CVD risk factors and OHCA characteristics, only potassium-sparing agents were associated with a lower AMSA when compared to patients using other cardiovascular medications (OR 0.46 [95% CI 0.10-0.81]; P < 0.012). The decrease in AMSA with increasing EMS-call-to-ECG delay was the same for patients with and without cardiovascular medication use (all P > 0.05). Only a small part of the variance in AMSA could be explained by medication use (R-square 0.003- 0.026). Adding OHCA characteristics to the model resulted in the largest R square change (0.09-0.15).CONCLUSIONS: It is unlikely that there is a strong and clinically relevant independent pharmacologic effect of cardiovascular medication use on AMSA. In OHCA, AMSA might be used as patient management tool without considering cardiovascular medication use.
Published: 2020

47. Retinoblastoma Tumor Suppressor Protein Roles in Epigenetic Regulation.

Author: Guzman, Frederick, Guzman, Frederick, Fazeli, Yasamin, Khuu, Meagan, Salcido, Kelsey, Singh, Sarah, Benavente, Claudia A, Guzman, Frederick, Guzman, Frederick, Fazeli, Yasamin, Khuu, Meagan, Salcido, Kelsey, Singh, Sarah, and Benavente, Claudia A
Abstract: Mutations that result in the loss of function of pRB were first identified in retinoblastoma and since then have been associated with the propagation of various forms of cancer. pRB is best known for its key role as a transcriptional regulator during cell cycle exit. Beyond the ability of pRB to regulate transcription of cell cycle progression genes, pRB can remodel chromatin to exert several of its other biological roles. In this review, we discuss the diverse functions of pRB in epigenetic regulation including nucleosome mobilization, histone modifications, DNA methylation and non-coding RNAs.
Published: 2020

48. Rediscovering our roots: Steps to increase accessibility to and acceptance of people of color in America’s national parks

Author: Henry, Cait, Henry, Cait, Salcido, Evan, Kiewra, Lydia, Kane, Brendan, Henry, Cait, Henry, Cait, Salcido, Evan, Kiewra, Lydia, and Kane, Brendan
Abstract: The United States’ history is marred by systemic oppression, even within parks and protected areas, including national parks. Major barriers for people of color to public lands include accessibility, welcomeness, and safety concerns. Although national parks are one of the nation’s greatest ideas, and while the National Park Service states that diversity and inclusion are priorities, it has not been wholly successful in creating meaningful change to reach these goals. This article examines some of the National Park Service’s efforts to diversify visitation demographics and offers recommendations on how to further increase and diversify visitors to the national park system. This is not intended to discredit the National Park Service, but rather to offer suggestions and context for ways it can remain relevant as our nation deals with times of uncertainty. Alleviating transportation constraints, providing adequate opportunities for non-white recreation and personal experiences, and transitioning from Eurocentric narratives within historical interpretation to local, minority-driven narratives are the main recommendations. The purpose of this article is to illuminate the vitality of accessibility and unbiased historical interpretation as means to increase diversity of visitation to national parks. As such, while this article focuses on the National Park Service, it is intended to benefit any public land-managing agency aiming to remain relevant to its constituents. Movement away from Eurocentric historical narratives and recreational activities is beneficial to all as a means to catalyze empathy and understanding for every American’s lived experience. [This is a paper from “Systemic Threats to Parks & Protected Areas,” the 2020 George Wright Society Student Summit.]
Published: 2020

49. Rediscovering our roots: Steps to increase accessibility to and acceptance of people of color in America’s national parks

Author: Henry, Cait, Henry, Cait, Salcido, Evan, Kiewra, Lydia, Kane, Brendan, Henry, Cait, Henry, Cait, Salcido, Evan, Kiewra, Lydia, and Kane, Brendan
Abstract: The United States’ history is marred by systemic oppression, even within parks and protected areas, including national parks. Major barriers for people of color to public lands include accessibility, welcomeness, and safety concerns. Although national parks are one of the nation’s greatest ideas, and while the National Park Service states that diversity and inclusion are priorities, it has not been wholly successful in creating meaningful change to reach these goals. This article examines some of the National Park Service’s efforts to diversify visitation demographics and offers recommendations on how to further increase and diversify visitors to the national park system. This is not intended to discredit the National Park Service, but rather to offer suggestions and context for ways it can remain relevant as our nation deals with times of uncertainty. Alleviating transportation constraints, providing adequate opportunities for non-white recreation and personal experiences, and transitioning from Eurocentric narratives within historical interpretation to local, minority-driven narratives are the main recommendations. The purpose of this article is to illuminate the vitality of accessibility and unbiased historical interpretation as means to increase diversity of visitation to national parks. As such, while this article focuses on the National Park Service, it is intended to benefit any public land-managing agency aiming to remain relevant to its constituents. Movement away from Eurocentric historical narratives and recreational activities is beneficial to all as a means to catalyze empathy and understanding for every American’s lived experience. [This is a paper from “Systemic Threats to Parks & Protected Areas,” the 2020 George Wright Society Student Summit.]
Published: 2020

50. The BAHAMAS project: Effects of dynamical dark energy on large-scale structure

Author: Pfeifer, Simon, McCarthy, Ian G., Stafford, Sam G., Brown, Shaun T., Font, Andreea S., Kwan, Juliana, Salcido, Jaime, Schaye, Joop, Pfeifer, Simon, McCarthy, Ian G., Stafford, Sam G., Brown, Shaun T., Font, Andreea S., Kwan, Juliana, Salcido, Jaime, and Schaye, Joop
Abstract: In this work we consider the impact of spatially-uniform but time-varying dark energy (or `dynamical dark energy', DDE) on large-scale structure in a spatially flat universe, using large cosmological hydrodynamical simulations that form part of the BAHAMAS project. As DDE changes the expansion history of the universe, it impacts the growth of structure. We explore variations in DDE that are constrained to be consistent with the cosmic microwave background. We find that DDE can affect the clustering of matter and haloes at the ~10% level (suppressing it for so-called `freezing' models, while enhancing it for `thawing' models), which should be distinguishable with upcoming large-scale structure surveys. DDE cosmologies can also enhance or suppress the halo mass function (with respect to LCDM) over a wide range of halo masses. The internal properties of haloes are minimally affected by changes in DDE, however. Finally, we show that the impact of baryons and associated feedback processes is largely independent of the change in cosmology and that these processes can be modelled separately to typically better than a few percent accuracy, Comment: 18 pages, 15 figures, accepted for publication in MNRAS
Published: 2020
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