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1. River Delta Morphotypes Emerge From Multiscale Characterization of Shorelines

Author

Vulis, L, Tejedor, A, Ma, H, Nienhuis, JH, Broaddus, CM, Brown, J, Edmonds, DA, Rowland, JC, and Foufoula‐Georgiou, E

Subjects
Earth Sciences, Physical Geography and Environmental Geoscience, Geology, Climate Action, river deltas, landscape spectral analysis, coastal geomorphology, landscape morphometry, coastal resilience, Meteorology & Atmospheric Sciences
Abstract

Delta shoreline structure has long been hypothesized to encode information on the relative influence of fluvial, wave, and tidal processes on delta formation and evolution. We introduce here a novel multiscale characterization of shorelines by defining three process-informed morphological metrics. We show that this characterization yields self-emerging classes of morphologically similar deltas, that is, delta morphotypes, and also predicts the dominant forcing of each morphotype. Then we show that the dominant forcings inferred from shoreline structure generally align with those estimated via relative sediment fluxes, while positing that misalignments arise from spatiotemporal heterogeneity in deltaic sediment fluxes not captured in their estimates. The proposed framework for shoreline characterization advances our quantitative understanding of how shoreline features reflect delta forcings, and may aid in deciphering paleoclimate from images of ancient deposits and projecting delta morphologic response to changes in sediment fluxes.

Published
2023

2. First‐Order River Delta Morphology Is Explained by the Sediment Flux Balance From Rivers, Waves, and Tides

Author

Broaddus, CM, Vulis, LM, Nienhuis, JH, Tejedor, A, Brown, J, Foufoula‐Georgiou, E, and Edmonds, DA

Subjects
Earth Sciences, Physical Geography and Environmental Geoscience, Climate Action, delta, river, coastal geomorphology, coastal sedimentology, shoreline change, environmental forcing, Meteorology & Atmospheric Sciences
Abstract

We present a novel quantitative test of a 50-year-old hypothesis which asserts that river delta morphology is determined by the balance between river and marine influence. We define three metrics to capture the first-order morphology of deltas (shoreline roughness, number of distributary channel mouths, and presence/absence of spits), and use a recently developed sediment flux framework to quantify the river-marine influence. Through analysis of simulated and field deltas we quantitatively demonstrate the relationship between sediment flux balance and delta morphology and show that the flux balance accounts for at least 35% of the variance in the number of distributary channel mouths and 42% of the variance in the shoreline roughness for real-world and simulated deltas. We identify a tipping point in the flux balance where wave influence halts distributary channel formation and show how this explains morphological transitions in real world deltas.

Published
2022

3. Precise Temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for Stationary and Nonstationary Processes

Author

Papalexiou, SM, Markonis, Y, Lombardo, F, AghaKouchak, A, and Foufoula-Georgiou, E

Subjects
Civil Engineering, Environmental Engineering, Applied Economics, Physical Geography and Environmental Geoscience
Abstract

Hydroclimatic variables such as precipitation and temperature are often measured or simulated by climate models at coarser spatiotemporal scales than those needed for operational purposes. This has motivated more than half a century of research in developing disaggregation methods that break down coarse-scale time series into finer scales, with two primary objectives: (a) reproducing the statistical properties of the fine-scale process and (b) preserving the original coarse-scale data. Existing methods either preserve a limited number of statistical moments at the fine scale, which is often insufficient and can lead to an unrepresentative approximation of the actual marginal distribution, or are based on a limited number of a priori distributional assumptions, for example, lognormal. Additionally, they are not able to account for potential nonstationarity in the underlying fine-scale process. Here we introduce a novel disaggregation method, named Disaggregation Preserving Marginals and Correlations (DiPMaC), that is able to disaggregate a coarse-scale time series to any finer scale, while reproducing the probability distribution and the linear correlation structure of the fine-scale process. DiPMaC is also generalized for arbitrary nonstationary scenarios to reproduce time varying marginals. Additionally, we introduce a computationally efficient algorithm, based on Bernoulli trials, to optimize the disaggregation procedure and guarantee preservation of the coarse-scale values. We focus on temporal disaggregation and demonstrate the method by disaggregating monthly precipitation to hourly, and time series with trends (e.g., climate model projections), while we show its potential to disaggregate based on general nonstationary scenarios. The example applications demonstrate the performance and robustness of DiPMaC.

Published
2018

4. Diffusion Dynamics and Optimal Coupling in Multiplex Networks with Directed Layers

Author

Tejedor, A, Longjas, A, Foufoula-Georgiou, E, Georgiou, TT, and Moreno, Y

Subjects
Quantum Physics, Astronomical and Space Sciences, Condensed Matter Physics
Abstract

Multiplex networks have been intensively studied during the last few years as they offer a more realistic representation of many interdependent and multilevel complex networked systems. However, even if most real networks have some degree of directionality, the vast majority of the existent literature deals with multiplex networks where all layers are undirected. Here, we study the dynamics of diffusion processes acting on coupled multilayer networks where at least one layer consists of a directed graph; we call these directed multiplex networks. We reveal a new and unexpected signature of diffusion dynamics on directed multiplex networks, namely, that different from their undirected counterparts, they can exhibit a nonmonotonic rate of convergence to steady state as a function of the degree of coupling, resulting in a faster diffusion at an intermediate degree of coupling than when the two layers are fully coupled. We use synthetic multiplex examples and real-world topologies to illustrate the characteristics of the underlying dynamics that give rise to a regime in which an optimal coupling exists. We further provide analytical and numerical evidence that this new phenomenon is solely a property of directed multiplex, where at least one of the layers exhibits sufficient directionality quantified by a normalized metric of asymmetry in directional path lengths. Given the ubiquity of both directed and multilayer networks in nature, our results have important implications for studying the dynamics of multilevel complex systems.

Published
2018

5. A Diagnostic Framework for Understanding Climatology of Tails of Hourly Precipitation Extremes in the United States

Author

Papalexiou, SM, AghaKouchak, A, and Foufoula-Georgiou, E

Subjects
hourly precipitation extremes, regionalization of distribution tails, heavy tails, predictive uncertainty, climatology of tails, Environmental Engineering, Civil Engineering, Applied Economics, Physical Geography and Environmental Geoscience
Abstract

Hourly precipitation extremes are crucial in hydrological design. Their frequency and magnitude is encapsulated in the probability distribution tail. Traditional extreme-analysis methods rely on theorems, like the Pickands-Balkema-de Haan, indicating specific type of tails assuming asymptotic convergence—a questionable assumption for real-world samples. Moreover, popular stochastic models for hourly precipitation presume light-tailed distributions to facilitate their mathematical formulation. In practice, limited information on hourly precipitation extremes makes identifying and quantifying their tail highly uncertain, especially on a station-by-station basis. Yet no comprehensive regional analysis of tails has been undertaken to quantify a climatology of tails for diagnostic and prognostic purposes. Here we undertake such an analysis for the conterminous United States. We introduce a novel Bayesian-adjustment approach to assess the best model between power-type and stretched-exponential tails showing that the latter performs better. We present climatology of the tail and quantify its heaviness in over 4,000 hourly precipitation records across the United States and present three main conclusions. First, we show that hourly precipitation tails are heavier than those commonly used with important implications including underestimation of extremes. Second, we provide spatial maps of the tail behavior which reveal some strikingly coherent spatial patterns that can be used for inference in the absence of local observations. Third, we find a nonlinear increase in the tail heaviness with elevation and we formulate parametric functions to describe this law. These results can improve the accuracy of frequency analysis, probabilistic prediction, rainfall-runoff modeling, and downscaling of historical observations and climate model projections.

Published
2018

7. A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval

Author

Takbiri, Z, Ebtehaj, AM, and Foufoula-Georgiou, E

Subjects
Environmental Engineering, Physical Geography and Environmental Geoscience, Civil Engineering
Abstract

We present a multi-sensor Bayesian passive microwave retrieval algorithm for flood inundation mapping at high spatial and temporal resolutions. The algorithm takes advantage of observations from multiple sensors in optical, short-infrared, and microwave bands, thereby allowing for detection and mapping of the sub-pixel fraction of inundated areas under almost all-sky conditions. The method relies on a nearest-neighbor search and a modern sparsity-promoting inversion method that make use of an a priori dataset in the form of two joint dictionaries. These dictionaries contain almost overlapping observations by the Special Sensor Microwave Imager and Sounder (SSMIS) on board the Defense Meteorological Satellite Program (DMSP) F17 satellite and the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Aqua and Terra satellites. Evaluation of the retrieval algorithm over the Mekong Delta shows that it is capable of capturing to a good degree the inundation diurnal variability due to localized convective precipitation. At longer timescales, the results demonstrate consistency with the ground-based water level observations, denoting that the method is properly capturing inundation seasonal patterns in response to regional monsoonal rain. The calculated Euclidean distance, rank-correlation, and also copula quantile analysis demonstrate a good agreement between the outputs of the algorithm and the observed water levels at monthly and daily timescales. The current inundation products are at a resolution of 12.5 km and taken twice per day, but a higher resolution (order of 5 km and every 3 h) can be achieved using the same algorithm with the dictionary populated by the Global Precipitation Mission (GPM) Microwave Imager (GMI) products.

Published
2017

8. Unravelling the association between the impact of natural hazards and household poverty: evidence from the Indian Sundarban delta

Author

Hajra, R, Szabo, S, Tessler, Z, Ghosh, T, Matthews, Z, and Foufoula-Georgiou, E

Subjects
Natural hazards, Livelihoods, Climate change, Indian Sundarban delta, Sustainable delta, Sustainable development, Environmental Sciences
Abstract

Coastal regions have long been settled by humans due to their abundant resources for livelihoods, including agriculture, transportation, and rich biodiversity. However, natural and anthropogenic factors, such as climate change and sea-level rise, and land subsidence, population pressure, developmental activities, pose threats to coastal sustainability. Natural hazards, such as fluvial or coastal floods, impact poorer and more vulnerable communities greater than more affluent communities. Quantitative assessments of how natural hazards affect vulnerable communities in deltaic regions are still limited, hampering the design of effective management strategies to increase household and community resilience. Drawing from Driving Forces–Pressure–State–Impact–Response (DPSIR), we quantify the associations between household poverty and the likelihood of material and human loss following a natural hazard using new survey data from 783 households within Indian Sundarban Delta community. The results suggest that the poorest households are significantly more likely to endure material and human losses following a natural hazard and repeated losses of livelihood make them more vulnerable to future risk. The results further suggest that salinization, tidal surge, erosion, and household location are also significant predictors of economic and human losses. Given the current and projected impact of climate change and importance of delta regions as the world’s food baskets, poverty reduction and increase societal resilience should be a primary pathway to strengthen the resilience of the poorest populations inhabiting deltas.

Published
2017

10. Making SDGs work for climate change hotspots

Author

Szabo, S, Nicholls, RJ, Neumann, B, Renaud, FG, Matthews, Z, Sebesvari, Z, AghaKouchak, A, Bales, R, Ruktanonchai, CW, Kloos, J, Foufoula-Georgiou, E, Wester, P, New, M, Rhyner, J, and Hutton, C

Subjects
Environmental Sciences
Abstract

The impacts of climate change on people’s livelihoods have been widely documented.1 It is expected that climate and environmental change will hamper poverty reduction, or even exacerbate poverty in some or all of its dimensions. Changes in the biophysical environment, such as droughts, flooding, water quantity and quality, and degrading ecosystems, are expected to affect opportunities for people to generate income. These changes, combined with a deficiency in coping strategies and innovation to adapt to particular climate change threats, are in turn likely to lead to increased economic and social vulnerability of households and communities, especially amongst the poorest.

Published
2016

11. Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications

Author

Gangodagamage, C, Foufoula-Georgiou, E, Brumby, SP, Chartrand, R, Koltunov, A, Liu, D, Cai, M, and Ustin, SL

Subjects
Biorthogonal modulation, biorthogonal wavelets, channel networks, data compression, Digital Elevation models, high spatial resolution data, hydrology, image resolution, LiDAR, lossy compression, wavelets, wavelet transforms, Geological & Geomatics Engineering, Electrical and Electronic Engineering, Geomatic Engineering, Artificial Intelligence and Image Processing
Abstract

The availability of high-resolution digital elevation data (submeter resolution) from LiDAR has increased dramatically over the past few years. As a result, the efficient storage and transmission of those large data sets and their use for geomorphic feature extraction and hydrologic/environmental modeling are becoming a scientific challenge. This letter explores the use of multiresolution wavelet analysis for compression of LiDAR digital elevation data sets. The compression takes advantage of the fact that, in most landscapes, neighboring pixels are correlated and thus contain some redundant information. The space-frequency localization of the wavelet filters allows one to preserve detailed high-resolution features where needed while representing the rest of the landscape at lower resolution. We explore a lossy compression methodology based on biorthogonal wavelets and demonstrate that, by keeping only approximately 10% of the original information (data compression ratio ∼94%), the reconstructed landscapes retain most of the information of relevance to geomorphologic applications, such as the ability to accurately extract channel networks for environmental flux routing, as well as to identify geomorphic process transition from the curvature-slope and slope-distance relationships.

Published
2016

12. Profiling risk and sustainability in coastal deltas of the world

Author

Tessler, ZD, Vörösmarty, CJ, Grossberg, M, Gladkova, I, Aizenman, H, Syvitski, JPM, and Foufoula-Georgiou, E

Subjects
Patient Safety, Climate Action, Floods, Forecasting, Humans, Investments, Risk, Rivers, General Science & Technology
Abstract

Deltas are highly sensitive to increasing risks arising from local human activities, land subsidence, regional water management, global sea-level rise, and climate extremes. We quantified changing flood risk due to extreme events using an integrated set of global environmental, geophysical, and social indicators. Although risks are distributed across all levels of economic development, wealthy countries effectively limit their present-day threat by gross domestic product-enabled infrastructure and coastal defense investments. In an energy-constrained future, such protections will probably prove to be unsustainable, raising relative risks by four to eight times in the Mississippi and Rhine deltas and by one-and-a-half to four times in the Chao Phraya and Yangtze deltas. The current emphasis on short-term solutions for the world's deltas will greatly constrain options for designing sustainable solutions in the long term.

Published
2015

13. ENVIRONMENTAL SCIENCE. Profiling risk and sustainability in coastal deltas of the world.

Author

Tessler, ZD, Vörösmarty, CJ, Grossberg, M, Gladkova, I, Aizenman, H, Syvitski, JPM, and Foufoula-Georgiou, E

Subjects
Humans, Risk, Rivers, Forecasting, Investments, Floods, General Science & Technology
Abstract

Deltas are highly sensitive to increasing risks arising from local human activities, land subsidence, regional water management, global sea-level rise, and climate extremes. We quantified changing flood risk due to extreme events using an integrated set of global environmental, geophysical, and social indicators. Although risks are distributed across all levels of economic development, wealthy countries effectively limit their present-day threat by gross domestic product-enabled infrastructure and coastal defense investments. In an energy-constrained future, such protections will probably prove to be unsustainable, raising relative risks by four to eight times in the Mississippi and Rhine deltas and by one-and-a-half to four times in the Chao Phraya and Yangtze deltas. The current emphasis on short-term solutions for the world's deltas will greatly constrain options for designing sustainable solutions in the long term.

Published
2015

14. Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation

Author

Ebtehaj, AM, Bras, RL, and Foufoula-Georgiou, E

Subjects
Data processing, inverse problem, radar, radiometry, rainfall passive retrieval, regularization, Geological & Geomatics Engineering, Geophysics, Electrical and Electronic Engineering, Geomatic Engineering
Abstract

This paper introduces a new Bayesian approach to the inverse problem of passive microwave rainfall retrieval. The proposed methodology [called the shrunken locally linear embedding algorithm for retrieval of precipitation (ShARP)] relies on a regularization technique and makes use of two joint dictionaries of coincident rainfall profiles and their corresponding upwelling spectral radiative fluxes. A sequential detection-estimation strategy is adopted, which basically assumes that similar rainfall intensity values and their spectral radiances live close to some sufficiently smooth manifolds with analogous local geometry. The detection step employs a nearest neighbor classification rule, whereas the estimation scheme is equipped with a constrained shrinkage estimator to ensure the stability of retrieval and some physical consistency. The algorithm is examined using coincident observations of the active precipitation radar and the passive microwave imager onboard the TRMM satellite. We present promising results of instantaneous rainfall retrieval for some tropical storms and mesoscale convective systems over ocean, land, and coastal zones. We provide evidence that the algorithm is capable of properly capturing different storm morphologies including high-intensity rain cells and trailing light rainfall, particularly over land and coastal areas. The algorithm is also validated at an annual scale for calendar year 2013 versus the standard (version 7) radar (2A25) and radiometer (2A12) rainfall products of the TRMM satellite.

Published
2015

15. Variational Data Assimilation via Sparse Regularization

Author

Ebtehaj, A. M., Zupanski, M., Lerman, G., and Foufoula-Georgiou, E.

Subjects
Physics - Data Analysis, Statistics and Probability
Abstract

This paper studies the role of sparse regularization in a properly chosen basis for variational data assimilation (VDA) problems. Specifically, it focuses on data assimilation of noisy and down-sampled observations while the state variable of interest exhibits sparsity in the real or transformed domain. We show that in the presence of sparsity, the $\ell_{1}$-norm regularization produces more accurate and stable solutions than the classic data assimilation methods. To motivate further developments of the proposed methodology, assimilation experiments are conducted in the wavelet and spectral domain using the linear advection-diffusion equation.

Published
2013
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17. GPM Draft Science Implementation Plan Ground Validation Chapter

Author

Yuter, S., Houze, R., Chandrasekar, V., Foufoula-Georgiou, E., Hagen, M., Johnson, R., Kingsmill, D., Lawrence, R., Marks, F., Rutledge, S., and Weinman, J.

Subjects
Physics - Atmospheric and Oceanic Physics
Abstract

The validation of NASA Global Precipitation Mission (GPM) satellite precipitation products is important for their credibility and utility within the larger community. This document defines GPM ground validation scientific objectives and several programmatic components for meeting those objectives. Multi-year, multi-sensor ground-based observation programs in a few locations are proposed to generate local observation products and global error covariance products. Focused measurement programs utilizing aircraft, ships, and ground-based measurements would fill in geographic and scientific gaps not addressed by the multi-year observing programs., Comment: 22 pages, 1 figure. 3 April 2002 version. Submitted for inclusion in GPM Draft Science Implementation Plan

Published
2002

19. Advancing the remote sensing of precipitation

Author

Sorooshian, S, Aghakouchak, A, Arkin, P, Eylander, J, Foufoula-Georgiou, E, Harmon, R, Hendrickx, JMH, Imam, B, Kuligowski, R, Skahill, B, and Skofronick-Jackson, G

Subjects
Meteorology & Atmospheric Sciences, Astronomical and Space Sciences, Atmospheric Sciences, Physical Geography and Environmental Geoscience
Abstract

Satellite-based global precipitation data has addressed the limitations of rain gauges and weather radar systems in forecasting applications and for weather and climate studies. Inspite of this ability, a number of issues that require the development of advanced concepts to address key challenges in satellite-based observations of precipitation were identified during the Advanced Concepts Workshop on Remote Sensing of Precipitation at Multiple Scales at the University of California. These include quantification of uncertainties of individual sensors and their propagation into multisensor products warrants a great deal of research. The development of metrics for validation and uncertainty analysis are of great importance. Bias removal, particularly probability distribution function (PDF)-based adjustment, deserves more in-depth research. Development of a near-real-time probabilistic uncertainty model for satellitebased precipitation estimates is highly desirable.

Published
2011

23. The Effect of Cold Rolling on the Corrosion Behaviour of 5083 Aluminium Alloys.

Author

Panagopoulos, C. N. and Georgiou, E. P.

Subjects
COLD rolling, ALUMINUM alloys, MAGNESIUM alloys, ELECTRON microscope techniques, ALUMINUM films, CORROSION in alloys, CORROSION resistance
Abstract

Aluminium–magnesium alloys find widespread application in diverse industrial and technological fields owing to their unique characteristics such as lightweight nature, favourable physical and mechanical properties, corrosion resistance and cost-effectiveness. During production, these alloys often undergo various forming processes that significantly affect the morphology and microstructure of their surface layers. Consequently, the surface properties, including corrosion resistance, are notably influenced by these treatments. In this study, the impact of cold rolling on the corrosion behaviour of the 5083 aluminium alloy, which is considered as an important alloy for the aerospace and naval industry, was investigated. The 5083 Al alloy underwent a cold-rolling process, resulting in specimens with reduced average thicknesses of 7% and 15%, respectively. The microstructure of the alloy was examined by using X-ray diffraction, optical and scanning electron microscopy techniques. Furthermore, the corrosion behaviour of both the as-received and cold-rolled aluminium alloy specimens was evaluated through potentiostatic and potentiodynamic corrosion measurements. The experimental results demonstrated that higher cold deformation percentages, within the specified experimental parameters, led to an enhanced corrosion resistance for the alloy. This improvement was primarily attributed to the reduction in grain size induced by recrystallization and to the formation of a passivating aluminium oxide film. [ABSTRACT FROM AUTHOR]

Published
2024
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24. GPM Draft Science Implementation Plan Ground Validation Chapter

Author

Yuter, S, Houze, R, Chandrasekar, V, Foufoula-Georgiou, E, Hagen, M, Johnson, R, Kingsmill, D, Lawrence, R, Marks, F, Rutledge, S, and Weinman, J

Subjects
physics.ao-ph
Abstract

The validation of NASA Global Precipitation Mission (GPM) satelliteprecipitation products is important for their credibility and utility withinthe larger community. This document defines GPM ground validation scientificobjectives and several programmatic components for meeting those objectives.Multi-year, multi-sensor ground-based observation programs in a few locationsare proposed to generate local observation products and global error covarianceproducts. Focused measurement programs utilizing aircraft, ships, andground-based measurements would fill in geographic and scientific gaps notaddressed by the multi-year observing programs.

Published
2002

27. River Delta Morphotypes Emerge From Multiscale Characterization of Shorelines

Author

Vulis, L., Tejedor, A., Ma, H., Nienhuis, J. H., Broaddus, C. M., Brown, J., Edmonds, D. A., Rowland, J. C., Foufoula‐Georgiou, E., Vulis, L., Tejedor, A., Ma, H., Nienhuis, J. H., Broaddus, C. M., Brown, J., Edmonds, D. A., Rowland, J. C., and Foufoula‐Georgiou, E.

Abstract

Delta shoreline structure has long been hypothesized to encode information on the relative influence of fluvial, wave, and tidal processes on delta formation and evolution. We introduce here a novel multiscale characterization of shorelines by defining three process-informed morphological metrics. We show that this characterization yields self-emerging classes of morphologically similar deltas, that is, delta morphotypes, and also predicts the dominant forcing of each morphotype. Then we show that the dominant forcings inferred from shoreline structure generally align with those estimated via relative sediment fluxes, while positing that misalignments arise from spatiotemporal heterogeneity in deltaic sediment fluxes not captured in their estimates. The proposed framework for shoreline characterization advances our quantitative understanding of how shoreline features reflect delta forcings, and may aid in deciphering paleoclimate from images of ancient deposits and projecting delta morphologic response to changes in sediment fluxes.

Published
2023

29. 199 Ovarian follicle flushing as a means of retrieving oocytes in bovine ovum pickup/

Author

Simmons, R. J., primary, Tutt, D. A. R., additional, Kwong, W.-Y., additional, Guven-Ates, G., additional, Baroni, J. I., additional, Lim, L. N., additional, Cimpeanu, R., additional, Castrejon-Pita, A. A., additional, Vatish, M., additional, Svensson, P., additional, Piegsa, R., additional, Hagby, U., additional, Sinclair, K. D., additional, and Georgiou, E. X., additional

Published
2022
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38. Switchable photocatalysis for the chemodivergent benzylation of 4-cyanopyridines

Author

Universitat Rovira i Virgili, Georgiou E; Spinnato D; Chen K; Melchiorre P, Universitat Rovira i Virgili, and Georgiou E; Spinnato D; Chen K; Melchiorre P

Abstract

We report a photocatalytic strategy for the chemodivergent radical benzylation of 4-cyanopyridines. The chemistry uses a single photoredox catalyst to generate benzyl radicals upon N-F bond activation of 2-alkyl N-fluorobenzamides. The judicious choice of different photocatalyst quenchers allowed us to select at will between mechanistically divergent processes. The two reaction manifolds, an ipso-substitution path proceeding via radical coupling and a Minisci-type addition, enabled selective access to regioisomeric C4 or C2 benzylated pyridines, respectively. Mechanistic investigations shed light on the origin of the chemoselectivity switch.

Published
2022

40. Extremely Efficient Uranium Removal from Aqueous Environments with Polyurea-Cross-Linked Alginate Aerogel Beads

Author

Georgiou, E. Raptopoulos, G. Papastergiou, M. Paraskevopoulou, P. Pashalidis, I.

Abstract

The removal of uranium(VI) from laboratory and environmental waters using polyurea-cross-linked calcium alginate (X-alginate) aerogels has been investigated by means of batch-type experiments. The experimental data revealed that the material presents extremely high adsorption capacity for uranium(VI) (up to 2023 g kg-1 of aerogel). The adsorption process is endothermic, entropy-driven, and follows the Langmuir isotherm model. The Fourier transform infrared spectroscopy (FTIR) data corroborate the results of the batch experiments and indicate that adsorption occurs via the formation of inner-sphere complexes between the surface functional groups of X-alginate beads and UO22+. The post-adsorption presence of uranium in the adsorbent was confirmed and quantified with energy-dispersive X-ray spectra (EDS) analysis. Compared to other aerogel adsorbents of UO22+ from the literature, X-alginate aerogels show one of the highest sorption capacities per weight and the highest per volume. Uranium could be recovered almost quantitatively (∼100%) in aqueous solutions of Na2CO3 (pH 11) or ethylenediaminetetraacetic acid (EDTA) (pH 10). The aerogel material has been effectively applied for the removal of uranium(VI) from acid mine drainage (AMD), groundwater, and seawater samples. It should be noted that X-alginate aerogel beads are stable in all of the above environments (i.e., no swelling, shrinking, or disintegration was observed). The extraordinary adsorption capacity, even in the presence of competing metal cations, and the stability of X-alginate aerogel beads in environmental waters render them excellent candidates for the specific application. ©

Published
2022

41. Chlormethine gel is effective for the treatment of skin lesions in patients with early- and late-stage mycosis fungoides in clinical practice

Author

Papadavid, E. Koumourtzis, M. Nikolaou, V. Lampadaki, K. Marinos, L. Patsatsi, A. Georgiou, E. Dalamaga, M. Stratigos, A.

Abstract

Background: Chlormethine gel is a skin-directed therapy used for patients with mycosis fungoides (MF) that showed a favourable risk/benefit profile in a randomized clinical trial. Currently, data on chlormethine gel use in real-world settings are limited. Objectives: The aim of this study was to assess safety and efficacy of chlormethine gel treatment in patients treated during daily clinical practice and investigate associations between response and disease stage, lesion type, mono- or combination therapy, and occurrence of dermatitis. Methods: Clinical data from patients using chlormethine gel from three sites in Greece were analysed. Efficacy was assessed through modified Severity-Weighted Assessment Tool (mSWAT) scores. Safety assessments included analysis of the occurrence and severity of dermatitis. The Skindex-29 questionnaire was used for quality-of-life assessments. Results: Fifty-eight patients were included. The overall response rate (ORR) increased from 37.9% at month 1 to 80.8% at month 9. For 64.2% of patients, response was maintained for at least 4 months (ORR4). At month 3, a higher ORR was seen for patients with patches (69.7%) than patients with plaques/tumours (both 15.2%). A higher ORR4 was observed for patients with early- vs late-stage disease (71.4% vs. 36.4%) and patients on mono- vs combination therapy (75% vs. 47.6%). Dermatitis was observed in the majority of patients (72.4%), but the presence or severity of dermatitis was not directly correlated with treatment response. Both mSWAT and Skindex-29 scores decreased significantly during treatment, and changes in these scores from baseline to month 6 showed a positive correlation (r = 0.55, P = 0.026). Conclusions: Chlormethine gel was effective for the treatment of skin lesions in patients with early- and late-stage MF in clinical practice. Response rates increased over time, indicating that continued treatment with the gel is important. Dermatitis may be managed by reducing the treatment frequency; the occurrence of dermatitis did not affect the response to treatment. © 2022 European Academy of Dermatology and Venereology.

Published
2022

42. Mountaintop Mining Consequences

Author

Palmer, M. A., Bernhardt, E. S., Schlesinger, W. H., Eshleman, K. N., Foufoula-Georgiou, E., Hendryx, M. S., Lemly, A. D., Likens, G. E., Loucks, O. L., Power, M. E., White, P. S., and Wilcock, P. R.

Published
2010
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47. ESICM LIVES 2016: part one: Milan, Italy. 1-5 October 2016

Author

Bos, L., Schouten, L., van Vught, L., Wiewel, M., Ong, D., Cremer, O., Artigas, A., Martin-Loeches, I., Hoogendijk, A., van der Poll, T., Horn, J., Juffermans, N., Schultz, M., de Prost, N., Pham, T., Carteaux, G., Dessap, A. Mekontso, Brun-Buisson, C., Fan, E., Bellani, G., Laffey, J., Mercat, A., Brochard, L., Maitre, B., Howells, P. A., Thickett, D. R., Knox, C., Park, D. P., Gao, F., Tucker, O., Whitehouse, T., McAuley, D. F., Perkins, G. D., Pham, T., Laffey, J., Bellani, G., Fan, E., Pisani, L., Roozeman, J. P., Simonis, F. D., Giangregorio, A., Schouten, L. R., Van der Hoeven, S. M., Horn, J., Neto, A. Serpa, Festic, E., Dondorp, A. M., Grasso, S., Bos, L. D., Schultz, M. J., Koster-Brouwer, M., Verboom, D., Scicluna, B., van de Groep, K., Frencken, J., Schultz, M., van der Poll, T., Bonten, M., Cremer, O., Ko, J. I., Kim, K. S., Suh, G. J., Kwon, W. Y., Kim, K., Shin, J. H., Ranzani, O. T., Prina, E., Menendez, R., Ceccato, A., Mendez, R., Cilloniz, C., Gabarrus, A., Ferrer, M., Torres, A., Urbano, A., Zhang, L. A., Swigon, D., Pike, F., Parker, R. S., Clermont, G., Scheer, C., Kuhn, S. O., Modler, A., Vollmer, M., Fuchs, C., Hahnenkamp, K., Rehberg, S., Gründling, M., Taggu, A., Darang, N., Öveges, N., László, I., Tánczos, K., Németh, M., Lebák, G., Tudor, B., Érces, D., Kaszaki, J., Huber, W., Trásy, D., Molnár, Z., Ferrara, G., Edul, V. S. Kanoore, Canales, H. S., Martins, E., Canullán, C., Murias, G., Pozo, M. O., Eguillor, J. F. Caminos, Buscetti, M. G., Ince, C., Dubin, A., Aya, H. D., Rhodes, A., Fletcher, N., Grounds, R. M., Cecconi, M., Jacquet-Lagrèze, M., Riche, M., Schweizer, R., Portran, P., Fornier, W., Lilot, M., Neidecker, J., Fellahi, J. L., Escoresca-Ortega, A., Gutiérrez-Pizarraya, A., Charris-Castro, L., Corcia-Palomo, Y., Fernandez-Delgado, E., Garnacho-Montero, J., Roger, C., Muller, L., Elotmani, L., Lipman, J., Lefrant, J. Y., Roberts, J. A., Muñoz-Bermúdez, R., Samper, M., Climent, C., Vasco, F., Sara, V., Luque, S., Campillo, N., Cerrato, S. Grau, Masclans, J. R., Alvarez-Lerma, F., Brugger, S. Carvalho, Jimenez, G. Jimenez, Torner, M. Miralbés, Cabello, J. Trujillano, Garrido, B. Balsera, Casals, X. Nuvials, Gaite, F. Barcenilla, Vidal, M. Vallverdú, Martínez, M. Palomar, Gusarov, V., Shilkin, D., Dementienko, M., Nesterova, E., Lashenkova, N., Kuzovlev, A., Zamyatin, M., Demoule, A., Carreira, S., Lavault, S., Palancca, O., Morawiec, E., Mayaux, J., Arnulf, I., Similowski, T., Rasmussen, B. S., Maltesen, R. G., Hanifa, M., Pedersen, S., Kristensen, S. R., Wimmer, R., Panigada, M., Bassi, G. Li, Ranzani, O. T., Kolobow, T., Zanella, A., Cressoni, M., Berra, L., Parrini, V., Kandil, H., Salati, G., Livigni, S., Amatu, A., Andreotti, A., Tagliaferri, F., Moise, G., Mercurio, G., Costa, A., Vezzani, A., Lindau, S., Babel, J., Cavana, M., Consonni, D., Pesenti, A., Gattinoni, L., Torres, A., Mansouri, P., Zand, F., Zahed, L., Dehghanrad, F., Bahrani, M., Ghorbani, M., Cambiaghi, B., Moerer, O., Mauri, T., Kunze-Szikszay, N., Ritter, C., Pesenti, A., Quintel, M., Vilander, L. M., Kaunisto, M. A., Vaara, S. T., Pettilä, V., Mulier, J. L. G. Haitsma, Rozemeijer, S., Spoelstra-de Man, A. M. E., Elbers, P. E., Tuinman, P. R., de Waard, M. C., Oudemans-van Straaten, H. M., Liberatore, A. M. A., Souza, R. B., Martins, A. M. C. R. P. F., Vieira, J. C. F., Koh, I. H. J., Martínez, M. Galindo, Sánchez, R. Jiménez, Gascón, L. Martínez, Mulero, M. D. Rodríguez, Freire, A. Ortín, Muñoz, A. Ojados, Acebes, S. Rebollo, Martínez, Á. Fernández, Aliaga, S. Moreno, Para, L. Herrera, Payá, J. Murcia, Mulero, F. Rodríguez, Guerci, P., Ince, Y., Heeman, P., Ergin, B., Ince, C., Uz, Z., Massey, M., Ince, Y., Papatella, R., Bulent, E., Guerci, P., Toraman, F., Ince, C., Longbottom, E. R., Torrance, H. D., Owen, H. C., Hinds, C. J., Pearse, R. M., O’Dywer, M. J., Trogrlic, Z., van der Jagt, M., Lingsma, H., Ponssen, H. H., Schoonderbeek, J. F., Schreiner, F., Verbrugge, S. J., Duran, S., van Achterberg, T., Bakker, J., Gommers, D. A. M. P. J., Ista, E., Krajčová, A., Waldauf, P., Duška, F., Shah, A., Roy, N., McKechnie, S., Doree, C., Fisher, S., Stanworth, S. J., Jensen, J. F., Overgaard, D., Bestle, M. H., Christensen, D. F., Egerod, I., Pivkina, A., Gusarov, V., Zhivotneva, I., Pasko, N., Zamyatin, M., Jensen, J. F., Egerod, I., Bestle, M. H., Christensen, D. F., Alklit, A., Hansen, R. L., Knudsen, H., Grode, L. B., Overgaard, D., Hravnak, M., Chen, L., Dubrawski, A., Clermont, G., Pinsky, M. R., Parry, S. M., Knight, L. D., Connolly, B. C., Baldwin, C. E., Puthucheary, Z. A., Denehy, L., Hart, N., Morris, P. E., Mortimore, J., Granger, C. L., Jensen, H. I., Piers, R., Van den Bulcke, B., Malmgren, J., Metaxa, V., Reyners, A. K., Darmon, M., Rusinova, K., Talmor, D., Meert, A. P., Cancelliere, L., Zubek, L., Maia, P., Michalsen, A., Decruyenaere, J., Kompanje, E., Vanheule, S., Azoulay, E., Vansteelandt, S., Benoit, D., Van den Bulcke, B., Piers, R., Jensen, H. I., Malmgren, J., Metaxa, V., Reyners, A. K., Darmon, M., Rusinova, K., Talmor, D., Meert, A. P., Cancelliere, L., Zubek, L., Maia, P., Michalsen, A., Decruyenaere, J., Kompanje, E., Vanheule, S., Azoulay, E., Vansteelandt, S., Benoit, D., Ryan, C., Dawson, D., Ball, J., Noone, K., Aisling, B., Prudden, S., Ntantana, A., Matamis, D., Savvidou, S., Giannakou, M., Gouva, M., Nakos, G., Koulouras, V., Aron, J., Lumley, G., Milliken, D., Dhadwal, K., McGrath, B. A., Lynch, S. J., Bovento, B., Sharpe, G., Grainger, E., Pieri-Davies, S., Wallace, S., McGrath, B., Lynch, S. J., Bovento, B., Grainger, E., Pieri-Davies, S., Sharpe, G., Wallace, S., Jung, M., Cho, J., Park, H., Suh, G., Kousha, O., Paddle, J., Gripenberg, L. Gamrin, Rehal, M. Sundström, Wernerman, J., Rooyackers, O., de Grooth, H. J., Choo, W. P., Spoelstra-de Man, A. M., Swart, E. L., Oudemans-van Straaten, H. M., Talan, L., Güven, G., Altıntas, N. D., Padar, M., Uusvel, G., Starkopf, L., Starkopf, J., Blaser, A. Reintam, Kalaiselvan, M. S., Arunkumar, A. S., Renuka, M. K., Shivkumar, R. L., Volbeda, M., ten Kate, D., Hoekstra, M., van der Maaten, J. M., Nijsten, M. W., Komaromi, A., Rooyackers, O., Wernerman, J., Norberg, Å., Smedberg, M., Mori, M., Pettersson, L., Norberg, Å., Rooyackers, O., Wernerman, J., Theodorakopoulou, M., Christodoulopoulou, T., Diamantakis, A., Frantzeskaki, F., Kontogiorgi, M., Chrysanthopoulou, E., Lygnos, M., Diakaki, C., Armaganidis, A., Gundogan, K., Dogan, E., Coskun, R., Muhtaroglu, S., Sungur, M., Ziegler, T., Guven, M., Kleyman, A., Khaliq, W., Andreas, D., Singer, M., Meierhans, R., Schuepbach, R., De Brito-Ashurst, I., Zand, F., Sabetian, G., Nikandish, R., Hagar, F., Masjedi, M., Maghsudi, B., Vazin, A., Ghorbani, M., Asadpour, E., Kao, K. C., Chiu, L. C., Hung, C. Y., Chang, C. H., Li, S. H., Hu, H. C., El Maraghi, S., Ali, M., Rageb, D., Helmy, M., Marin-Corral, J., Vilà, C., Masclans, J. R., Vàzquez, A., Martín-Loeches, I., Díaz, E., Yébenes, J. C., Rodriguez, A., Álvarez-Lerma, F., Varga, N., Cortina-Gutiérrez, A., Dono, L., Martínez-Martínez, M., Maldonado, C., Papiol, E., Pérez-Carrasco, M., Ferrer, R., Nweze, K., Morton, B., Welters, I., Houard, M., Voisin, B., Ledoux, G., Six, S., Jaillette, E., Nseir, S., Romdhani, S., Bouneb, R., Loghmari, D., Aicha, N. Ben, Ayachi, J., Meddeb, K., Chouchène, I., Khedher, A., Boussarsar, M., Chan, K. S., Yu, W. L., Marin-Corral, J., Vilà, C., Masclans, J. R., Nolla, J., Vidaur, L., Bonastre, J., Suberbiola, B., Guerrero, J. E., Rodriguez, A., Coll, N. Ramon, Jiménez, G. Jiménez, Brugger, S. Carvalho, Calero, J. Codina, Garrido, B. Balsera, García, M., Martínez, M. Palomar, Vidal, M. Vallverdú, de la Torre, M. C., Vendrell, E., Palomera, E., Güell, E., Yébenes, J. C., Serra-Prat, M., Bermejo-Martín, J. F., Almirall, J., Tomas, E., Escoval, A., Froe, F., Pereira, M. H. Vitoria, Velez, N., Viegas, E., Filipe, E., Groves, C., Reay, M., Chiu, L. C., Hu, H. C., Hung, C. Y., Chang, C. H., Li, S. H., Kao, K. C., Ballin, A., Facchin, F., Sartori, G., Zarantonello, F., Campello, E., Radu, C. M., Rossi, S., Ori, C., Simioni, P., Umei, N., Shingo, I., Santos, A. C., Candeias, C., Moniz, I., Marçal, R., e Silva, Z. Costa, Ribeiro, J. M., Georger, J. F., Ponthus, J. P., Tchir, M., Amilien, V., Ayoub, M., Barsam, E., Martucci, G., Panarello, G., Tuzzolino, F., Capitanio, G., Ferrazza, V., Carollo, T., Giovanni, L., Arcadipane, A., Sánchez, M. López, González-Gay, M. A., Díaz, F. J. Llorca, López, M. I. Rubio, Zogheib, E., Villeret, L., Nader, J., Bernasinski, M., Besserve, P., Caus, T., Dupont, H., Morimont, P., Habran, S., Hubert, R., Desaive, T., Blaffart, F., Janssen, N., Guiot, J., Pironet, A., Dauby, P., Lambermont, B., Zarantonello, F., Ballin, A., Facchin, F., Sartori, G., Campello, E., Pettenuzzo, T., Citton, G., Rossi, S., Simioni, P., Ori, C., Kirakli, C., Ediboglu, O., Ataman, S., Yarici, M., Tuksavul, F., Keating, S., Gibson, A., Gilles, M., Dunn, M., Price, G., Young, N., Remeta, P., Bishop, P., Zamora, M. D. Fernández, Muñoz-Bono, J., Curiel-Balsera, E., Aguilar-Alonso, E., Hinojosa, R., Gordillo-Brenes, A., Arboleda-Sánchez, J. A., Skorniakov, I., Vikulova, D., Whiteley, C., Shaikh, O., Jones, A., Ostermann, M., Forni, L., Scott, M., Sahatjian, J., Linde-Zwirble, W., Hansell, D., Laoveeravat, P., Srisawat, N., Kongwibulwut, M., Peerapornrattana, S., Suwachittanont, N., Wirotwan, T. O., Chatkaew, P., Saeyub, P., Latthaprecha, K., Tiranathanagul, K., Eiam-ong, S., Kellum, J. A., Berthelsen, R. E., Perner, A., Jensen, A. E. K., Jensen, J. U., Bestle, M. H., Gebhard, D. J., Price, J., Kennedy, C. E., Akcan-Arikan, A., Liberatore, A. M. A., Souza, R. B., Martins, A. M. C. R. P. F., Vieira, J. C. F., Kang, Y. R., Nakamae, M. N., Koh, I. H. J., Hamed, K., Khaled, M. M., Soliman, R. Aly, Mokhtar, M. Sherif, Seller-Pérez, G., Arias-Verdú, D., Llopar-Valdor, E., De-Diós-Chacón, I., Quesada-García, G., Herrera-Gutierrez, M. E., Hafes, R., Carroll, G., Doherty, P., Wright, C., Vera, I. G. Guerra, Ralston, M., Gemmell, M. L., MacKay, A., Black, E., Wright, C., Docking, R. I., Appleton, R., Ralston, M. R., Gemmell, L., Appleton, R., Wright, C., Docking, R. I., Black, E., Mackay, A., Rozemeijer, S., Mulier, J. L. G. Haitsma, Röttgering, J. G., Elbers, P. W. G., Spoelstra-de Man, A. M. E., Tuinman, P. R., de Waard, M. C., Oudemans-van Straaten, H. M., Mejeni, N., Nsiala, J., Kilembe, A., Akilimali, P., Thomas, G., Egerod, I., Andersson, A. E., Fagerdahl, A. M., Knudsen, V., Meddeb, K., Cheikh, A. Ben, Hamdaoui, Y., Ayachi, J., Guiga, A., Fraj, N., Romdhani, S., Sma, N., Bouneb, R., Chouchene, I., Khedher, A., Bouafia, N., Boussarsar, M., Amirian, A., Ziaian, B., Masjedi, M., Fleischmann, C., Thomas-Rueddel, D. O., Schettler, A., Schwarzkopf, D., Stacke, A., Reinhart, K., Filipe, E., Escoval, A., Martins, A., Sousa, P., Velez, N., Viegas, E., Tomas, E., Snell, G., Matsa, R., Paary, T. T. S., Kalaiselvan, M. S., Cavalheiro, A. M., Rocha, L. L., Vallone, C. S., Tonilo, A., Lobato, M. D. S., Malheiro, D. T., Sussumo, G., Lucino, N. M., Zand, F., Rosenthal, V. D., Masjedi, M., Sabetian, G., Maghsudi, B., Ghorbani, M., Dashti, A. Sanaei, Yousefipour, A., Goodall, J. R., Williamson, M., Tant, E., Thomas, N., Balci, C., Gonen, C., Haftacı, E., Gurarda, H., Karaca, E., Paldusová, B., Zýková, I., Šímová, D., Houston, S., D’Antona, L., Lloyd, J., Garnelo-Rey, V., Sosic, M., Sotosek-Tokmazic, V., Kuharic, J., Antoncic, I., Dunatov, S., Sustic, A., Chong, C. T., Sim, M., Lyovarin, T., Díaz, F. M. Acosta, Galdó, S. Narbona, Garach, M. Muñoz, Romero, O. Moreno, Bailón, A. M. Pérez, Pinel, A. Carranza, Colmenero, M., Gritsan, A., Gazenkampf, A., Korchagin, E., Dovbish, N., Lee, R. M., Lim, M. P. P., Chong, C. T., Lim, B. C. L., See, J. J., Assis, R., Filipe, F., Lopes, N., Pessoa, L., Pereira, T., Catorze, N., Aydogan, M. S., Aldasoro, C., Marchio, P., Jorda, A., Mauricio, M. D., Guerra-Ojeda, S., Gimeno-Raga, M., Colque-Cano, M., Bertomeu-Artecero, A., Aldasoro, M., Valles, S. L., Tonon, D., Triglia, T., Martin, J. C., Alessi, M. C., Bruder, N., Garrigue, P., Velly, L., Spina, S., Scaravilli, V., Marzorati, C., Colombo, E., Savo, D., Vargiolu, A., Cavenaghi, G., Citerio, G., Andrade, A. H. V., Bulgarelli, P., Araujo, J. A. P., Gonzalez, V., Souza, V. A., Costa, A., Massant, C., Filho, C. A. C. Abreu, Morbeck, R. A., Burgo, L. E., van Groenendael, R., van Eijk, L. T., Leijte, G. P., Koeneman, B., Kox, M., Pickkers, P., García-de la Torre, A., de la Torre-Prados, M., Fernández-Porcel, A., Rueda-Molina, C., Nuevo-Ortega, P., Tsvetanova-Spasova, T., Cámara-Sola, E., García-Alcántara, A., Salido-Díaz, L., Liao, X., Feng, T., Zhang, J., Cao, X., Wu, Q., Xie, Z., Li, H., Kang, Y., Winkler, M. S., Nierhaus, A., Mudersbach, E., Bauer, A., Robbe, L., Zahrte, C., Schwedhelm, E., Kluge, S., Zöllner, C., Morton, B., Mitsi, E., Pennington, S. H., Reine, J., Wright, A. D., Parker, R., Welters, I. D., Blakey, J. D., Rajam, G., Ades, E. W., Ferreira, D. M., Wang, D., Kadioglu, A., Gordon, S. B., Koch, R., Kox, M., Rahamat-Langedoen, J., Schloesser, J., de Jonge, M., Pickkers, P., Bringue, J., Guillamat-Prats, R., Torrents, E., Martinez, M. L., Camprubí-Rimblas, M., Artigas, A., Blanch, L., Park, S. Y., Park, Y. B., Song, D. K., Shrestha, S., Park, S. H., Koh, Y., Park, M. J., Hong, C. W., Lesur, O., Coquerel, D., Sainsily, X., Cote, J., Söllradl, T., Murza, A., Dumont, L., Dumaine, R., Grandbois, M., Sarret, P., Marsault, E., Salvail, D., Auger-Messier, M., Chagnon, F., Lauretta, M. P., Greco, E., Dyson, A., Singer, M., Preau, S., Ambler, M., Sigurta, A., Saeed, S., Singer, M., Sarıca, L. Topcu, Zibandeh, N., Genc, D., Gul, F., Akkoc, T., Kombak, E., Cinel, L., Akkoc, T., Cinel, I., Pollen, S. J., Arulkumaran, N., Singer, M., Torrance, H. D., Longbottom, E. R., Warnes, G., Hinds, C. J., Pennington, D. J., Brohi, K., O’Dwyer, M. J., Kim, H. Y., Na, S., Kim, J., Chang, Y. F., Chao, A., Shih, P. Y., Lee, C. T., Yeh, Y. C., Chen, L. W., Adriaanse, M., Trogrlic, Z., Ista, E., Lingsma, H., Rietdijk, W., Ponssen, H. H., Schoonderbeek, J. F., Schreiner, F., Verbrugge, S. J., Duran, S., Gommers, D. A. M. P. J., van der Jagt, M., Funcke, S., Sauerlaender, S., Saugel, B., Pinnschmidt, H., Reuter, D. A., Nitzschke, R., Perbet, S., Biboulet, C., Lenoire, A., Bourdeaux, D., Pereira, B., Plaud, B., Bazin, J. E., Sautou, V., Mebazaa, A., Constantin, J. M., Legrand, M., Boyko, Y., Jennum, P., Nikolic, M., Oerding, H., Holst, R., Toft, P., Nedergaard, H. K., Haberlandt, T., Jensen, H. I., Toft, P., Park, S., Kim, S., Cho, Y. J., Lim, Y. J., Chan, A., Tang, S., Nunes, S. L., Forsberg, S., Blomqvist, H., Berggren, L., Sörberg, M., Sarapohja, T., Wickerts, C. J., Hofhuis, J. G. M., Rose, L., Blackwood, B., Akerman, E., Mcgaughey, J., Egerod, I., Fossum, M., Foss, H., Georgiou, E., Graff, H. J., Kalafati, M., Sperlinga, R., Schafer, A., Wojnicka, A. G., Spronk, P. E., Zand, F., Khalili, F., Afshari, R., Sabetian, G., Masjedi, M., Maghsudi, B., Khodaei, H. Haddad, Javadpour, S., Petramfar, P., Nasimi, S., Vazin, A., Ziaian, B., Tabei, H., Gunther, A., Hansen, J. O., Sackey, P., Storm, H., Bernhardsson, J., Sundin, Ø., Bjärtå, A., Bienert, A., Smuszkiewicz, P., Wiczling, P., Przybylowski, K., Borsuk, A., Trojanowska, I., Matysiak, J., Kokot, Z., Paterska, M., Grzeskowiak, E., Messina, A., Bonicolini, E., Colombo, D., Moro, G., Romagnoli, S., De Gaudio, A. R., Corte, F. Della, Romano, S. M., Silversides, J. A., Major, E., Mann, E. E., Ferguson, A. J., Mcauley, D. F., Marshall, J. C., Blackwood, B., Fan, E., Diaz-Rodriguez, J. A., Silva-Medina, R., Gomez-Sandoval, E., Gomez-Gonzalez, N., Soriano-Orozco, R., Gonzalez-Carrillo, P. L., Hernández-Flores, M., Pilarczyk, K., Lubarksi, J., Wendt, D., Dusse, F., Günter, J., Huschens, B., Demircioglu, E., Jakob, H., Palmaccio, A., Dell’Anna, A. M., Grieco, D. L., Torrini, F., Iaquaniello, C., Bongiovanni, F., Antonelli, M., Toscani, L., Antonakaki, D., Bastoni, D., Aya, H. D., Rhodes, A., Cecconi, M., Jozwiak, M., Depret, F., Teboul, J. L., Alphonsine, J., Lai, C., Richard, C., Monnet, X., László, I., Demeter, G., Öveges, N., Tánczos, K., Németh, M., Trásy, D., Kertmegi, I., Érces, D., Tudor, B., Kaszaki, J., Molnár, Z., Hasanin, A., Lotfy, A., El-adawy, A., Nassar, H., Mahmoud, S., Abougabal, A., Mukhtar, A., Quinty, F., Habchi, S., Luzi, A., Antok, E., Hernandez, G., Lara, B., Enberg, L., Ortega, M., Leon, P., Kripper, C., Aguilera, P., Kattan, E., Bakker, J., Huber, W., Lehmann, M., Sakka, S., Bein, B., Schmid, R. M., Preti, J., Creteur, J., Herpain, A., Marc, J., Zogheib, E., Trojette, F., Bar, S., Kontar, L., Titeca, D., Richecoeur, J., Gelee, B., Verrier, N., Mercier, R., Lorne, E., Maizel, J., Dupont, H., Slama, M., Abdelfattah, M. E., Eladawy, A., Elsayed, M. A. Ali, Mukhtar, A., Montenegro, A. Pedraza, Zepeda, E. Monares, Granillo, J. Franco, Sánchez, J. S. Aguirre, Alejo, G. Camarena, Cabrera, A. Rugerio, Montoya, A. A. Tanaka, Lee, C., Hatib, F., Cannesson, M., Theerawit, P., Morasert, T., Sutherasan, Y., Zani, G., Mescolini, S., Diamanti, M., Righetti, R., Scaramuzza, A., Papetti, M., Terenzoni, M., Gecele, C., Fusari, M., Hakim, K. A., Chaari, A., Ismail, M., Elsaka, A. H., Mahmoud, T. M., Bousselmi, K., Kauts, V., Casey, W. F., Hutchings, S. D., Naumann, D., Wendon, J., Watts, S., Kirkman, E., Jian, Z., Buddi, S., Lee, C., Settels, J., Hatib, F., Pinsky, M. R., Bertini, P., Guarracino, F., Trepte, C., Richter, P., Haas, S. A., Eichhorn, V., Kubitz, J. C., Reuter, D. A., Soliman, M. S., Hamimy, W. I., Fouad, A. Z., Mukhtar, A. M., Charlton, M., Tonks, L., Mclelland, L., Coats, T. J., Thompson, J. P., Sims, M. R., Williams, D., Roushdy, D. Z., Soliman, R. A., Nahas, R. A., Arafa, M. Y., Hung, W. T., Chiang, C. C., Huang, W. C., Lin, K. C., Lin, S. C., Cheng, C. C., Kang, P. L., Wann, S. 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2016
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