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1. The monthly evolution of precipitation and warm conveyor belts during the central southwest Asia wet season

Author

M. L. Breeden, A. Hoell, J. R. Albers, and K. Slinski

Subjects
Meteorology. Climatology, QC851-999
Abstract

Understanding the nature of precipitation over central southwest Asia (CSWA), a data-sparse, semi-arid region, is important given its relation to agricultural productivity and the likelihood of hazards such as flooding. The present study considers how daily precipitation and local vertical motion – represented by warm conveyor belts (WCBs) – evolve from November to April over CSWA. First we compare several precipitation datasets, revealing that the seasonality of daily precipitation is consistent across estimates that incorporate satellite information, while total accumulation amounts differ substantially. A common feature across datasets is that the majority of precipitation occurs on the few days when area-averaged accumulation exceeds 4 mm, which are most frequent in February and March. The circulation pattern associated with heavy (< 4 mm d−1) precipitation days evolves within the wet season from a southwest–northeast tilted couplet of circulation anomalies in January and February to a neutrally tilted monopole pattern in April. El Niño conditions are associated with more heavy precipitation days than La Niña conditions, with both enhanced WCB frequency and moisture transport observed during the former. An exception to this is found in January, when precipitation, WCB frequency, and moisture do not increase, despite a similar increase in surface cyclones to other months, suggesting that precipitation changes cannot always be inferred from cyclone frequency changes. Nonetheless, our results generally support prior connections made between the El Niño–Southern Oscillation (ENSO) and seasonal-to-interannual precipitation anomalies and extend this connection to one between the slowly evolving ENSO influence and transient and local vertical motion represented by WCBs.

Published
2023

2. Subseasonal precipitation forecasts of opportunity over central southwest Asia

Author

M. L. Breeden, J. R. Albers, and A. Hoell

Subjects
Meteorology. Climatology, QC851-999
Abstract

Subseasonal forecasts of opportunity (SFOs) for precipitation over southwest Asia during January–March at lead times of 3–6 weeks are identified using elevated expected forecast skill from a linear inverse model (LIM), an empirical dynamical model that uses statistical relationships to infer the predictable dynamics of a system. The expected forecast skill from this LIM, which is based on the atmospheric circulation, tropical outgoing longwave radiation, and sea surface temperatures, captures the predictability associated with many relevant signals as opposed to just one. Two modes of variability, El Niño–Southern Oscillation (ENSO) and the Madden–Julian Oscillation (MJO), which themselves are predictable because of their slow variations, are related to southwest Asia precipitation SFOs. Strong El Niño events, as observed in 1983, 1998, and 2016, significantly increase the likelihood by up to 3-fold of an SFO 3–4 and 5–6 weeks in advance. Strong La Niña events, as observed in 1989, 1999, 2000, also significantly increase the likelihood of an SFO at those same lead times. High-amplitude MJO events in phases 2–4 and 6–8 of greater than one standardized departure also significantly increase the likelihood of an SFO 3–4 weeks in advance. Predictable atmospheric circulation patterns preceding anomalously wet periods indicate a role for enhanced tropical convection in the South Pacific convergence zone (SPCZ) region, while suppressed convection is observed preceding predictable dry periods. Anomalous heating in this region is found to distinguish wet and dry periods during both El Niño and La Niña conditions, although the atmospheric circulation response to the heating differs between each ENSO phase.

Published
2022
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3. Rapid Development of Systematic ENSO‐Related Seasonal Forecast Errors

Author

J. D. Beverley, M. Newman, and A. Hoell

Subjects
Geophysics. Cosmic physics, QC801-809
Abstract

Abstract Climate models exhibit known systematic errors in their representation of the El Niño‐Southern Oscillation (ENSO). In this study, we show that such simulation errors are largely present in tropical seasonal prediction, even for short lead times. Regressing monthly forecast errors from 11 different operational models upon the observed ENSO state, we find that predicted ENSO‐related sea surface temperature anomalies (of either sign) for winter/spring are significantly extended or shifted to the west and are also too persistent during the ENSO decay phase, both common climate model errors. There are also corresponding precipitation forecast errors, most notably a robust westward shift of the ENSO‐related precipitation dipole that may impact predictions of extratropical teleconnections. These ENSO‐related errors develop within days after initialization regardless of month, including significant errors appearing in anomalous surface trade winds, and saturate so rapidly that they primarily depend upon the seasonal cycle rather than lead time.

Published
2023
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4. A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan

Author

A. McNally, J. Jacob, K. Arsenault, K. Slinski, D. P. Sarmiento, A. Hoell, S. Pervez, J. Rowland, M. Budde, S. Kumar, C. Peters-Lidard, and J. P. Verdin

Subjects
Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract

From the Hindu Kush mountains to the Registan Desert, Afghanistan is a diverse landscape where droughts, floods, conflict, and economic market accessibility pose challenges for agricultural livelihoods and food security. The ability to remotely monitor environmental conditions is critical to support decision making for humanitarian assistance. The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) global and Central Asia data streams provide information on hydrologic states for routine integrated food security analysis. While developed for a specific project, these data are publicly available and useful for other applications that require hydrologic estimates of the water and energy balance. These two data streams are unique because of their suitability for routine monitoring, as well as for being a historical record for computing relative indicators of water availability. The global stream is available at ∼ 1-month latency, and monthly average outputs are on a 10 km grid from 1982–present. The second data stream, Central Asia (21–56∘ N, 30–100∘ E), at ∼ 1 d latency, provides daily average outputs on a 1 km grid from 2000–present. This paper describes the configuration of the two FLDAS data streams, background on the software modeling framework, selected meteorological inputs and parameters, and results from previous evaluation studies. We also provide additional analysis of precipitation and snow cover over Afghanistan. We conclude with an example of how these data are used in integrated food security analysis. For use in new and innovative studies that will improve understanding of this region, these data are hosted by U.S. Geological Survey data portals and the National Aeronautics and Space Administration (NASA). The Central Asia data described in this paper can be accessed via the NASA repository at https://doi.org/10.5067/VQ4CD3Y9YC0R (Jacob and Slinski, 2021), and the global data described in this paper can be accessed via the NASA repository at https://doi.org/10.5067/5NHC22T9375G (McNally, 2018).

Published
2022
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5. The West Pacific Gradient tracks ENSO and zonal Pacific sea surface temperature gradient during the last Millennium

Author

J. Zinke, S. A. Browning, A. Hoell, and I. D. Goodwin

Subjects
Medicine, Science
Abstract

Abstract Small changes in Pacific temperature gradients connected with the El Niño Southern Oscillation (ENSO) influence the Walker Circulation and are related to global climate anomalies. Therefore, it is of paramount importance to develop robust indices of their past behavior. Here, we reconstruct the difference in sea surface temperature between the west and central Pacific during ENSO, coined the West Pacific Gradient (WPG), based on the Last Millennium Paleo Hydrodynamics Data Assimilation. We show that the WPG tracks ENSO variability and strongly co-varies with the zonal gradient in Pacific sea surface temperature. We demonstrate that the WPG strength is related to significant atmospheric circulation and precipitation anomalies during historical El Niño and La Niña events by magnifying or weakening droughts and pluvials across the Indo-Pacific. We show that an extreme negative WPG coupled to a strong zonal Pacific temperature gradient is associated with enhanced megadroughts in North America between 1400 CE and the late sixteenth century. The twentieth century stands out in showing the most extreme swings between positive and negative WPG conditions over the past Millennium. We conclude that the WPG is a robust index together with ENSO indices to reveal past changes in Pacific zonal sea surface temperature gradient variability.

Published
2021
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6. Exploring diffusion bonding of niobium and its alloys with tungsten and a molybdenum alloy for high-energy particle target applications

Author

Griesemer, Tina, Ximenes, Rui Franqueira, Ahdida, Claudia, Izquierdo, Gonzalo Arnau, Santillana, Ignacio Aviles, Callaghan, Jack, Dumont, Gerald, Dutilleul, Thomas, Terricabras, Adria Gallifa, Höll, Stefan, Jacobsson, Richard, Kyffin, William, Mamun, Abdullah Al, Mazzola, Giuseppe, Fontenla, Ana Teresa Pérez, De Frutos, Oscar Sacristan, Esposito, Luigi Salvatore, Sgobba, Stefano, and Calviani, Marco

Subjects
Condensed Matter - Materials Science, Physics - Applied Physics
Abstract

Particle-producing targets in high-energy research facilities are often made from refractory metals, and they typically require dedicated cooling systems due to the challenging thermomechanical conditions they experience. However, direct contact of water with target blocks can induce erosion, corrosion, and embrittlement, especially of tungsten (W). One approach to overcoming this problem is cladding the blocks with tantalum (Ta). Unfortunately, Ta generates high decay heat when irradiated, raising safety concerns in the event of a loss-of-cooling accident. This study explored the capacity of niobium (Nb) and its alloys to form diffusion bonds with W and TZM (a molybdenum alloy with titanium and zirconium). This is because the Beam Dump Facility (BDF), a planned new fixed-target installation in CERN's North Area, uses these target materials. The bonding quality of pure Nb, Nb1Zr, and C103 (a Nb alloy with 10% hafnium and 1% titanium) with TZM and W obtained using hot isostatic pressing (HIP) was evaluated. The effects of different HIP temperatures and the introduction of a Ta interlayer were examined. Optical microscopy indicated promising bonding interfaces, which were further characterized using tensile tests and thermal-diffusivity measurements. Their performance under high-energy beam impact was validated using thermomechanical simulations. C103 exhibited higher interface strengths and safety factors than Ta2.5W, positioning it as a potential alternative cladding material for the BDF production target. The findings highlight the viability of Nb-based materials, particularly C103, for improving operational safety and efficiency in fixed-target physics experiments; however, considerations regarding the long half-life of 94Nb require further attention.

Published
2024

7. Post-irradiation examination of a prototype tantalum-clad target for the Beam Dump Facility at CERN

Author

Griesemer, Tina, Ximenes, Rui Franqueira, Izquierdo, Gonzalo Arnau, Santillana, Ignacio Aviles, Brehm, Thomas, Terricabras, Adria Gallifa, Höll, Stefan, Jacobsson, Richard, Kaiser, Marco, Kuchar, Roman, Fontenla, Ana Teresa Pérez, Rempel, Alexey, De Frutos, Oscar Sacristan, Schienbein, Marcel, Sgobba, Stefano, and Calviani, Marco

Subjects
Physics - Accelerator Physics, High Energy Physics - Experiment, Nuclear Experiment, Physics - Instrumentation and Detectors
Abstract

The Beam Dump Facility (BDF) is a planned fixed-target installation in CERN's North Area, set to start operating in 2031. A proton beam of 400 GeV/c will be delivered in 1 s pulses of 4e13 protons every 7.2 s, amounting to 4e19 protons on target (PoT) per year, with an average thermal power deposition of 305 kW. The experiment requires high-Z and high-density materials and involves challenging thermomechanical conditions; hence, a water-cooled refractory metal core is proposed. To prevent corrosion and erosion, the target materials - tungsten and a molybdenum-based alloy, TZM-, are clad with a tantalum alloy using hot isostatic pressing. To verify the reliability of the target design and manufacturing process, a reduced-scale prototype target was manufactured and irradiated with 2.4e16 PoT in 2018. This paper presents the findings of the post-irradiation examination (PIE) conducted 2.5 years later. The PIE consisted of non-destructive and destructive activities, including film imaging, microscopy, metrology, ultrasonic testing, microstructural analysis, and mechanical and thermal characterization. No irradiation effects resulting from thermal stresses, such as geometrical changes or cracks in the cladding, were observed, and it was determined that the bonding between the core and cladding materials was robust. Moreover, no changes were detected in the microstructures or mechanical properties of the bulk materials. In conclusion, the robustness of the target baseline design and manufacturing process was confirmed, validating its suitability for operating under the desired conditions. Nonetheless, the observed brittleness of sintered tungsten indicates a potential area for improvement to enhance the lifetime of the BDF target. Overall, the examinations provided valuable insights into the performance of the prototype and indicated potential refinements for the future BDF target complex.

Published
2024

8. Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics

Author

Holstein, Joshua, Spitzer, Philipp, Hoell, Marieke, Vössing, Michael, and Kühl, Niklas

Subjects
Computer Science - Human-Computer Interaction
Abstract

As organizations face the challenges of processing exponentially growing data volumes, their reliance on analytics to unlock value from this data has intensified. However, the intricacies of big data, such as its extensive feature sets, pose significant challenges. A crucial step in leveraging this data for insightful analysis is an in-depth understanding of both the data and its domain. Yet, existing literature presents a fragmented picture of what comprises an effective understanding of data and domain, varying significantly in depth and focus. To address this research gap, we conduct a systematic literature review, aiming to delineate the dimensions of data understanding. We identify five dimensions: Foundations, Collection & Selection, Contextualization & Integration, Exploration & Discovery, and Insights. These dimensions collectively form a comprehensive framework for data understanding, providing guidance for organizations seeking meaningful insights from complex datasets. This study synthesizes the current state of knowledge and lays the groundwork for further exploration., Comment: Accepted at 32nd European Conference on Information Systems (2024)

Published
2024

10. Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts

Author

Toride, Kinya, Newman, Matthew, Hoell, Andrew, Capotondi, Antonietta, Schlör, Jakob, and Amaya, Dillon J.

Subjects
Physics - Atmospheric and Oceanic Physics, Computer Science - Machine Learning
Abstract

We introduce an interpretable-by-design method, optimized model-analog, that integrates deep learning with model-analog forecasting which generates forecasts from similar initial climate states in a repository of model simulations. This hybrid framework employs a convolutional neural network to estimate state-dependent weights to identify initial analog states that lead to shadowing target trajectories. The advantage of our method lies in its inherent interpretability, offering insights into initial-error-sensitive regions through estimated weights and the ability to trace the physically-based evolution of the system through analog forecasting. We evaluate our approach using the Community Earth System Model Version 2 Large Ensemble to forecast the El Ni\~no-Southern Oscillation (ENSO) on a seasonal-to-annual time scale. Results show a 10% improvement in forecasting equatorial Pacific sea surface temperature anomalies at 9-12 months leads compared to the unweighted model-analog technique. Furthermore, our model demonstrates improvements in boreal winter and spring initialization when evaluated against a reanalysis dataset. Our approach reveals state-dependent regional sensitivity linked to various seasonally varying physical processes, including the Pacific Meridional Modes, equatorial recharge oscillator, and stochastic wind forcing. Additionally, forecasts of El Ni\~no and La Ni\~na are sensitive to different initial states: El Ni\~no forecasts are more sensitive to initial error in tropical Pacific sea surface temperature in boreal winter, while La Ni\~na forecasts are more sensitive to initial error in tropical Pacific zonal wind stress in boreal summer. This approach has broad implications for forecasting diverse climate phenomena, including regional temperature and precipitation, which are challenging for the model-analog approach alone.

Published
2024

11. Elternschaft und psychische Erkrankungen

Author

Koopmann, Anne, Hoell, Andreas, Meyer-Lindenberg, Andreas, Kiefer, Falk, Banaschewski, Tobias, Haege, Alexander, Herpertz, Sabine C., Neukel, Corinne, Poustka, Louise, Link, Tobias, Kammerer-Ciernioch, Jutta, Michel, Matthias C., Karl, Birgit, Graeff Calliess, Iris, Holzke, Martin, Kaiser, Anna, Ardern, Isabel, Christmann, Nina, Scharmann, Leonie, and Grimmer, Yvonne

Published
2024
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16. SARS-CoV-2 vaccination may mitigate dysregulation of IL-1/IL-18 and gastrointestinal symptoms of the post-COVID-19 condition

Author

Fischer, Claudia, Willscher, Edith, Paschold, Lisa, Gottschick, Cornelia, Klee, Bianca, Diexer, Sophie, Bosurgi, Lidia, Dutzmann, Jochen, Sedding, Daniel, Frese, Thomas, Girndt, Matthias, Hoell, Jessica I., Gekle, Michael, Addo, Marylyn M., Schulze zur Wiesch, Julian, Mikolajczyk, Rafael, Binder, Mascha, and Schultheiß, Christoph

Published
2024
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18. Predicting East African spring droughts using Pacific and Indian Ocean sea surface temperature indices

Author

C. Funk, A. Hoell, S. Shukla, I. Bladé, B. Liebmann, J. B. Roberts, F. R. Robertson, and G. Husak

Subjects
Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350
Abstract

In eastern East Africa (the southern Ethiopia, eastern Kenya and southern Somalia region), poor boreal spring (long wet season) rains in 1999, 2000, 2004, 2007, 2008, 2009, and 2011 contributed to severe food insecurity and high levels of malnutrition. Predicting rainfall deficits in this region on seasonal and decadal time frames can help decision makers implement disaster risk reduction measures while guiding climate-smart adaptation and agricultural development. Building on recent research that links more frequent East African droughts to a stronger Walker circulation, resulting from warming in the Indo–Pacific warm pool and an increased east-to-west sea surface temperature (SST) gradient in the western Pacific, we show that the two dominant modes of East African boreal spring rainfall variability are tied to SST fluctuations in the western central Pacific and central Indian Ocean, respectively. Variations in these two rainfall modes can thus be predicted using two SST indices – the western Pacific gradient (WPG) and central Indian Ocean index (CIO), with our statistical forecasts exhibiting reasonable cross-validated skill (rcv ≈ 0.6). In contrast, the current generation of coupled forecast models show no skill during the long rains. Our SST indices also appear to capture most of the major recent drought events such as 2000, 2009 and 2011. Predictions based on these simple indices can be used to support regional forecasting efforts and land surface data assimilations to help inform early warning and guide climate outlooks.

Published
2014
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19. Enhancing Global Food Security: Opportunities for the American Meteorological Society

Author

Stuart, Lauren, Hobbins, Mike, Niebuhr, Emily, Ruane, Alex C., Pulwarty, Roger, Hoell, Andrew, Thiaw, Wassila, Rosenzweig, Cynthia, Munoz-Arriola, Francisco, Jahn, Molly, and Farrar, Michael

Subjects
American Meteorological Society -- Aims and objectives, Sustainable development -- Analysis, Climatic changes -- Influence, Agricultural policy -- Analysis, Food supply -- Environmental aspects, Business, Earth sciences, Influence, Aims and objectives, Analysis, Environmental aspects
Abstract

Food security is a key pillar of environmental security yet remains one of the world's greatest challenges. Its obverse, food insecurity, negatively impacts health and well-being, drives mass migration, and undermines national security and global sustainable development. Ensuring food security is a delicate balance of myriad concerns within the atmospheric and Earth sciences, agronomy and agriculture engineering, social sciences, economics, monitoring, and policymaking. A Food Security Presidential Session at the American Meteorological Society's (AMS) 2022 Annual Meeting brought together experts across disciplines to tackle issues at the nexus of weather, climate, and food security. The starkest takeaway was the realization that, despite its importance and clear roles for the atmospheric and climate sciences, food security has not been a focus for the AMS community. The aim of this paper is to build on the perspectives shared by this expert panel and to identify overlapping issues and key points of intersection between the food-security community and AMS. We examine 1) the interactions between weather, climate, and the food system and how they influence food security; 2) the time and spatial scales of food security decision support that match weather and climate phenomena; 3) the role of both providers and users of information as well as decision-makers in improving research to operations for food security; and 4) the opportunities for the AMS community to address food security. We conclude that, moving forward, the AMS community is well-positioned to scale up its engagement across the global food system to address existing scientific needs and technology gaps to improve global food security. SIGNIFICANCE STATEMENT: We examine how members of the AMS community can help ensure global food security, whether they are engaged in the physical and social sciences or the realms of policy and society. Inspired by the messages of panelists at a Presidential Forum on Food Security at the 2022 AMS Annual Meeting, we gather their perspectives and those of experts working in the various relevant fields and find that there are roles for everyone across the AMS--from providing forecasts of the hydrometeorological variables used in food security outlooks to converting data to knowledge and engaging with stakeholders and decision-makers. We make concrete suggestions to ensure the AMS and its members are fully engaged in feeding the world. KEYWORDS: Drought; Climate change; Agriculture; Policy; Resilience; Societal impacts, Food security exists "when all people at all times, have the physical and economic access to sufficient, safe and nutritious food to meet their dietary needs and food preferences for [...]

Published
2024
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21. A Survey of Open Source Automation Tools for Data Science Predictions

Author

Hoell, Nicholas

Subjects
Computer Science - Machine Learning
Abstract

We present an expository overview of technical and cultural challenges to the development and adoption of automation at various stages in the data science prediction lifecycle, restricting focus to supervised learning with structured datasets. In addition, we review popular open source Python tools implementing common solution patterns for the automation challenges and highlight gaps where we feel progress still demands to be made., Comment: 56 pages, 1 figure, 2 tables

Published
2022

22. Controls that expedite first passage times in disordered systems

Author

Höll, Marc, Nissan, Alon, Berkowitz, Brian, and Barkai, Eli

Subjects
Condensed Matter - Statistical Mechanics
Abstract

First passage time statistics in disordered systems exhibiting scale invariance are studied widely. In particular, long trapping times in energy or entropic traps are fat-tailed distributed, which slow the overall transport process. We study the statistical properties of the first passage time of biased processes in different models, and employ the big jump principle that shows the dominance of the maximum trapping time on the first passage time. Inspired by the restart paradigm, we demonstrate that the removal of this maximum significantly expedites transport. As the disorder increases, the system enters a phase where the removal shows a dramatic effect. Our results show how we may speed up transport in strongly disordered systems exploiting scale invariance. In contrast to the disordered systems studied here, the removal principle has essentially no effect in homogeneous systems; this indicates that improving the conductance of a poorly conducting system is, theoretically, relatively easy as compared to a homogeneous system.

Published
2022

24. Differential associations between SARS-CoV-2 infection, perceived burden of the pandemic and mental health in the German population-based cohort for digital health research

Author

Steinmann, Lavinia A., Claaß, Luise V., Rau, Moritz, Massag, Janka, Diexer, Sophie, Klee, Bianca, Gottschick, Cornelia, Binder, Mascha, Sedding, Daniel, Frese, Thomas, Girndt, Matthias, Hoell, Jessica, Moor, Irene, Rosendahl, Jonas, Gekle, Michael, Mikolajczyk, Rafael, and Opel, Nils

Published
2024
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25. Predictors of symptom change in the mental health of refugees and asylum seekers (MEHIRA) study examining the effects of a stepped and collaborative care model – A multicentered rater-blinded randomized controlled trial

Author

Kemna, Solveig, Bringmann, Max, Karnouk, Carine, Hoell, Andreas, Tschorn, Mira, Kamp-Becker, Inge, Padberg, Frank, Übleis, Aline, Hasan, Alkomiet, Falkai, Peter, Salize, Hans-Joachim, Meyer-Lindenberg, Andreas, Banaschewski, Tobias, Schneider, Frank, Habel, Ute, Plener, Paul, Hahn, Eric, Wiechers, Maren, Strupf, Michael, Jobst, Andrea, Millenet, Sabina, Hoehne, Edgar, Sukale, Thorsten, Schuster, Martin, Dinauer, Raphael, Mehran, Nassim, Kaiser, Franziska, Lieb, Klaus, Heinz, Andreas, Rapp, Michael, Bajbouj, Malek, and Böge, Kerem

Published
2025
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31. Decoding the historical tale: COVID-19 impact on haematological malignancy patients—EPICOVIDEHA insights from 2020 to 2022

Author

Martín-Vallejo, Francisco Javier, Zdziarski, Przemyslaw, Zarrinfer, Hossein, Wittig, Jana, Win, Sein, Wai-Man, Vivien, Víšek, Benjamín, Vinh, Donald C., Vehreschild, Maria, Varricchio, Gina, Tsirigotis, Panagiotis, Torres-Tienza, Ana, Tanase, Alina Daniela, Tafuri, Agostino, Stamouli, Maria, Sramek, Jiří, Soussain, Carole, Shirinova, Ayten, Schubert, Jörg, Schalk, Enrico, Salehi, Mohammad Reza, Saleh, Modar, Rosati, Giorgio, Roldán, Elisa, Reizine, Florian, Rêgo, Mayara, Regalado-Artamendi, Isabel, Popova, Marina, Pinto, Fernando, Philippe, Laure, Orth, Hans Martin, Ommen, Hans-Beier, Obr, Aleš, Núñez-Martín-Buitrago, Lucía, Noël, Nicolas, Neuhann, Julia, Nadali, Gianpaolo, Nacov, Julia A., Munhoz Alburquerque, Ana M., Mitra, Maria Enza, Mikulska, Malgorzata, Mellinghoff, Sibylle, Mechtel, Ben, Martín-González, Juan-Alberto, Malak, Sandra, Loureiro-Amigo, Jorge, Lorenzo De La Peña, Lisset, Liberti, Giulia, Landau, Marianne, Lacej, Ira, Kolditz, Martin, Kho, Chi Shan, Khedr, Reham Abdelaziz, Karthaus, Meinolf, Karlsson, Linda Katharina, Jiménez-Lorenzo, María-Josefa, Izuzquiza, Macarena, Hoell-Neugebauer, Baerbel, Herbrecht, Raoul, Heath, Christopher H., Guolo, Fabio, Grothe, Jan, Giordano, Antonio, Gerasymchuk, Sergey, García-Sanz, Ramón, García-Poutón, Nicole, Funke, Vaneuza Araújo Moreira, Fung, Monica, Flasshove, Charlotte, Fianchi, Luana, Essame, Jenna, Egger, Matthias, Drenou, Bernard, Dragonetti, Giulia, Desole, Maximilian, Della Pepa, Roberta, Deau Fischer, Bénédicte, De Kort, Elizabeth, De Cabo, Erik, Danion, François, Daguindau, Etienne, Cushion, Tania, Cremer, Louise, Criscuolo, Marianna, Cordini, Gregorio, Cingolani, Antonella, Ciceri, Fabio, Chowdhury, Fazle Rabbi, Chelysheva, Ekaterina, Chauchet, Adrien, Chai, Louis Yi Ann, Ceesay, M. Mansour, Busch, Elena, Brehon, Mathias, Borducchi, Davimar M.M., Booth, Stephen, Bologna, Serge, Berg Venemyr, Caroline, Bailén-Almorox, Rebeca, Antoniadou, Anastasia, Anastasopoulou, Amalia N., Altuntaş, Fevzi, Salmanton-García, Jon, Marchesi, Francesco, Farina, Francesca, Weinbergerová, Barbora, Itri, Federico, Dávila-Valls, Julio, Martín-Pérez, Sonia, Glenthøj, Andreas, Hersby, Ditte Stampe, Gomes Da Silva, Maria, Nunes Rodrigues, Raquel, López-García, Alberto, Córdoba, Raúl, Bilgin, Yavuz M., Falces-Romero, Iker, El-Ashwah, Shaimaa, Emarah, Ziad, Besson, Caroline, Kohn, Milena, Van Doesum, Jaap, Ammatuna, Emanuele, Marchetti, Monia, Labrador, Jorge, Zambrotta, Giovanni Paolo Maria, Verga, Luisa, Jaksic, Ozren, Nucci, Marcio, Piukovics, Klára, Cabirta-Touzón, Alba, Jiménez, Moraima, Arellano, Elena, Espigado, Ildefonso, Blennow, Ola, Nordlander, Anna, Meers, Stef, Vian Praet, Jens, Aiello, Tommaso Francesco, Garcia-Vidal, Carolina, Fracchiolla, Nicola S., Sciumè, Mariarita, Seval, Guldane Cengiz, Žák, Pavel, Buquicchio, Caterina, Tascini, Carlo, Gräfe, Stefanie K., Schönlein, Martin, Adžić-VUKIČEVIĆ, Tatjana, Bonuomo, Valentina, Cattaneo, Chiara, Nizamuddin, Summiya, Čerňan, Martin, Plantefeve, Gaëtan, Prin, Romane, Szotkovski, Tomas, Collins, Graham P., Dargenio, Michelina, Petzer, Verena, Wolf, Dominik, Čolović, Natasha, Prezioso, Lucia, Valković, Toni, Passamonti, Francesco, Méndez, Gustavo-Adolfo, Sili, Uluhan, Vena, Antonio, Bavastro, Martina, Limongelli, Alessandro, Duarte, Rafael F., Ledoux, Marie-Pierre, Cvetanoski, Milche, Stojanoski, Zlate, Machado, Marina, Batinić, Josip, Magliano, Gabriele, Biernat, Monika M., Pantić, Nikola, Poulsen, Christian Bjørn, Cuccaro, Annarosa, Del Principe, Maria Ilaria, Kulasekararaj, Austin, Ormazabal-Vélez, Irati, Busca, Alessandro, Demirkan, Fatih, Ijaz, Marriyam, Klimko, Nikolai, Stoma, Igor, Khostelidi, Sofya, Fernández, Noemí, Omrani, Ali S., Bergantim, Rui, De Jonge, Nick, Fouquet, Guillemette, Navrátil, Milan, Abu-Zeinah, Ghaith, Samarkos, Michail, Maertens, Johan, De Ramón, Cristina, Guidetti, Anna, Magyari, Ferenc, González-López, Tomás José, Lahmer, Tobias, Finizio, Olimpia, Ali, Natasha, Pinczés, László Imre, Lavilla-Rubira, Esperanza, Romano, Alessandra, Merelli, Maria, Delia, Mario, Calbacho, Maria, Meletiadis, Joseph, Antić, Darko, Hernández-Rivas, José-Ángel, Marques De Almeida, Joyce, Al-Khabori, Murtadha, Hoenigl, Martin, Tisi, Maria Chiara, Khanna, Nina, Barać, Aleksandra, Eisa, Noha, Di Blasi, Roberta, Liévin, Raphaël, Miranda-Castillo, Carolina, Bahr, Nathan C., Lamure, Sylvain, Papa, Mario Virgilio, Yahya, Ayel, Aujayeb, Avinash, Novák, Jan, Erben, Nurettin, Fernández-Galán, María, Ribera-Santa Susana, José-María, Rinaldi, Ikhwan, Fazzi, Rita, Piedimonte, Monica, Duléry, Rémy, Gonzaga, Yung, Soto-Silva, Andrés, Sapienza, Giuseppe, Serris, Alexandra, Drgoňa, Ľuboš, Groh, Ana, Serrano, Laura, Gavriilaki, Eleni, Tragiannidis, Athanasios, Prattes, Juergen, Coppola, Nicola, Otašević, Vladimir, Mladenović, Miloš, Mitrović, Mirjana, Mišković, Bojana, Jindra, Pavel, Zompi, Sofia, Sacchi, Maria Vittoria, Krekeler, Carolin, Shumilov, Evgenii, Infante, Maria Stefania, García-Bordallo, Daniel, Çolak, Gökçe Melis, Mayer, Jiří, Nygaard, Marietta, Hanáková, Michaela, Ráčil, Zdeněk, Quattrone, Martina, Bonanni, Matteo, Koehler, Philipp, Rahimli, Laman, Cornely, Oliver A., and Pagano, Livio

Published
2024
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32. Big jump principle for heavy-tailed random walks with correlated increments

Author

Höll, Marc and Barkai, Eli

Subjects
Condensed Matter - Statistical Mechanics
Abstract

The big jump principle explains the emergence of extreme events for physical quantities modelled by a sum of independent and identically distributed random variables which are heavy-tailed. Extreme events are large values of the sum and they are solely dominated by the largest summand called the big jump. Recently, the principle was introduced into physical sciences where systems usually exhibit correlations. Here, we study the principle for a random walk with correlated increments. Examples are the autoregressive model of first order and the discretized Ornstein-Uhlenbeck process both with heavy-tailed noise. The correlation leads to the dependence of large values of the sum not only on the big jump but also on the following increments. We describe this behaviour by two big jump principles, namely unconditioned and conditioned on the step number when the big jump occurs. The unconditional big jump principle is described by a correlation dependent shift between the sum and maximum distribution tails. For the conditional big jump principle, the shift depends also on the step number of the big jump.

Published
2021
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34. Returning integrated genomic risk and clinical recommendations: The eMERGE study

Author

Gordon, Adam, Sobowale, Agboade, Allworth, Aimee, Patel, Akshar, DiVietro, Alanna, Strong, Alanna, Sherafati, Alborz, Sherfati, Alborz, Bick, Alex, Miller, Alexandra, Chandel, Alka, Rosenthal, Alyssa, Khera, Amit, Kontorovich, Amy, Beck, Andrew, Beck, Andy, Espinoza, Angelica, Lewis, Anna, Prince, Anya, Khan, Atlas, Iverson, Ayuko, Khales, Bahram Namjou, Benoit, Barbara, Hernan, Becca, Kallman, Ben, Kerman, Ben, Shoemaker, Ben, Satterfield, Benjamin, Devine, Beth, Etheridge, Bethany, Goff, Blake, Freimuth, Bob, Grundmeier, Bob, Collier, Brenae, Mutai, Brenda, Harnett, Brett, Chang, Brian, Piening, Brian, Davis, Brittney, Korf, Bruce, Patterson, Candace, Demetriou, Carmen, Ta, Casey, Hammack, Catherine, Nelson, Catrina, Gascoigne, Caytie, Dorn, Chad, Moretz, Chad, Kachulis, Chris, Hoell, Christie, Cowles, Christine, Lange, Christoph, Weng, Chunhua, Prows, Cindy, Brokamp, Cole, Liu, Cong, Scherr, Courtney, Gonzalez, Crystal, Ramirez, Cynthia, Shimbo, Daichi, Roden, Dan, Schaid, Daniel, Kaufman, Dave, Crosslin, David, Kochan, David, Veenstra, David, Singh, Davinder, Karavite, Dean, Abrams, Debbie, Absher, Devin, Edwards, Digna Velez, Haverfield, Eden, Morales, Eduardo, Esplin, Edward, Malolepsza, Edyta, Alipour, Ehsan, Kenny, Eimear, Rosenthal, Elisabeth, Duvall, Eliza, McNally, Elizabeth, Bhoj, Elizabeth, Cohn, Elizabeth, Hibler, Elizabeth, Karlson, Elizabeth, Clayton, Ellen, Chesnut, Emily, DeFranco, Emily, Gallagher, Emily, Soper, Emily, Perez, Emma, Cash, Erin, Berner, Eta, Wang, Fei, Wehbe, Firas, Ricci, Francisco, Mentch, Frank, Shaibi, Gabriel, Jarvik, Gail, Hahn, George, Hripcsak, George, Wiesner, Georgia, Belbin, Gillian, Davogustto, Gio, Nadkarni, Girish, Qiu, Haijun, Hakonarson, Hakon, Bangash, Hana, Beasley, Hannah, Liu, Hao, Aungst, Heide, Tiwari, Hemant, Duckham, Hillary, Thomas, Hope, Kullo, Iftikhar, Holm, Ingrid, Allen, Isabelle, Ionita-Laza, Iuliana, Hellwege, Jacklyn, Petrzelka, Jacob, Odgis, Jacqueline, Narula, Jahnavi, Petrzelka, Jake, Patel, Jalpa, Cimino, James, Meigs, James, Snyder, James, Olson, Janet, Zahner, Janet, Pennington, Jeff, Pacheco, Jen, Pacheco, Jennifer Allen, Morse, Jennifer, Corsmo, Jeremy, Thayer, Jeritt, Cimino, Jim, Chen, Jingheng, Fournier, Jocelyn, Jackson, Jodell, Glessner, Joe, Pacyna, Joel, Smith, Johanna, Connolly, John, Lynch, John, Shelley, John, Mosley, Jonathan, Nestor, Jordan, Smoller, Jordan, Alsip, Jorge, Kannry, Joseph, Sutton, Joseph, Peterson, Josh, Smith, Joshua, Galasso, Julia, Smith, Julia, Wynn, Julia, Gundelach, Justin, Starren, Justin, Choi, Karmel, Mittendorf, Kate, Anderson, Katherine, Bonini, Katherine, Leppig, Kathleen, Muenzen, Kathleen, Larkin, Katie, Stuttgen, Kelsey, Wiley, Ken, Nguyen, Kenny, Dufendach, Kevin, Atkins, Kiley, Sawicki, Konrad, Norland, Kristjan, Kiryluk, Krzysztof, Beskow, Laura, Rasmussen-Torvik, Laura, Kottyan, Leah, Hsu, Li, Tian, Lifeng, Mahanta, Lisa, Martin, Lisa, Wang, Lisa, Gomez, Lizbeth, Thompson, Lorenzo, Orlando, Lori, Richter, Lucas, Rasmussen, Luke, Petukhova, Lynn, Seabolt, Lynn, O’Brien, Madison, Harden, Maegan, Fullerton, Malia, Harr, Margaret, Beasley, Mark, Guindo, Marta, Horike, Martha, Horike-Pyne, Martha, Abdalla, Marwah, Hamed, Marwan, Terry, Mary Beth, Maradik, Mary, Wyatt, Matt, Davis, Matthew, Lebo, Matthew, Smith, Maureen, Rosario, Maya del, Sabatello, Maya, Behr, Meckenzie, Roy-Puckelwartz, Meg, Habrat, Mel, Myers, Melanie, Yetisgen, Meliha, Iris, Merve, DaSilva, Michael, Preuss, Michael, McGowan, Michelle, Shi, Mingjian, Perera, Minoli, Thomas, Minta, Elkind, Mitch, Abbass, Mohammad, Saadatagah, Mohammad, Hess, Molly, Maradik, Molly, Vaitinadin, Nataraja “RJ”, Vaitinadin, Nataraja, Muthu, Naveen, Netherly, Neil, Lennon, Niall, Shang, Ning, Limdi, Nita, Forrest, Noah, Romero, Noheli, Robinson, Nora, Abul-Husn, Noura, Elsekaily, Omar, Dikilitas, Ozan, Kovatch, Patricia, Davis, Patrick, Appelbaum, Paul, Francaviglia, Paul, O’Reilly, Paul, Chandler, Paulette, Caraballo, Pedro, Tarczy-Hornoch, Peter, Shum, Pierre, Marathe, Priya, Murali, Priyanka, Feng, Qiping, Wells, Quinn, Atchley, Rachel, Narla, Radhika, Barton, Rene, Sterling, Rene, Chisholm, Rex, Green, Richard, Sharp, Richard, Peters, Riki, Kukafka, Rita, Rowley, Robb, Freimuth, Robert, Green, Robert, Winter, Robert, Mueller, Roger, Loos, Ruth, Irvin, Ryan, Suckiel, Sabrina, Hussain, Sajjad, Sharba, Samer, Aronson, Sandy, Jones, Sarah, Knerr, Sarah, Nigbur, Scott, Weiss, Scott, Mooney, Sean, Terek, Shannon, Aufox, Sharon, Nirenberg, Sharon, Murphy, Shawn, O’Byrne, Sheila, Wang (Sam) Choi, Shing, Aguilar, Sienna, Bland, S.T., Rodrigues, Stefanie, Ledbetter, Stephanie, Rutledge, Stephanie, Booth, Stuart James, Xian, Su, Trinidad, Susan Brown, Bakken, Suzanne, Schmidlen, Tara, Rakhra-Burris, Tejinder, Manolio, Teri, Mersha, Tesfaye, Walunas, Theresa, Chandereng, Thevaa, May, Thomas, Ge, Tian, Edwards, Todd, Kaszemacher, Tom, Hernandez, Valentina, Willis, Valerie, Desai, Vemi, Desai, Vimi, Lorenzi, Virginia, Gainer, Vivian, Wei, Wei-Qi, Chung, Wendy, Su, Wu-Chen, Chang, Xiao, Zhao, Yiqing, Luo, Yuan, Shen, Yufeng, Linder, Jodell E., Bland, Harris T., Caraballo, Pedro J., Chisholm, Rex L., Clayton, Ellen Wright, Crosslin, David R., Esplin, Edward D., Forman, Sophie, Freimuth, Robert R., Gordon, Adam S., Harden, Maegan V., Holm, Ingrid A., Jarvik, Gail P., Karlson, Elizabeth W., Labrecque, Sofia, Lennon, Niall J., Limdi, Nita A., Mittendorf, Kathleen F., Murphy, Shawn N., Prows, Cynthia A., Rasmussen, Luke V., Sawicki, Konrad Teodor, Velez Edwards, Digna R., Abul-Husn, Noura S., Below, Jennifer E., Berner, Eta S., Booth, James, Chung, Wendy K., Cimino, James J., Fullerton, Stephanie M., Guiducci, Candace, Habrat, Melissa L., Hain, Heather, Hoell, Christin, Irvin, Marguerite R., Kachulis, Christopher, Kenny, Eimear E., Kullo, Iftikhar J., Manolio, Teri A., McNally, Elizabeth M., Mooney, Sean D., Namjou, Bahram, Perez, Emma F., Puckelwartz, Megan J., Roden, Dan M., Rosenthal, Elisabeth A., Saadatagah, Seyedmohammad, Schaid, Dan J., Schultz, Baergen, Shaibi, Gabriel Q., Sharp, Richard R., Shirts, Brian, Smith, Maureen E., Smoller, Jordan W., Suckiel, Sabrina A., Tiwari, Hemant K., Trinidad, Susan B., Wells, Quinn S., Wiesner, Georgia L., and Peterson, Josh F.

Published
2023
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38. Large deviations of the ballistic L\'evy walk model

Author

Wang, Wanli, Höll, Marc, and Barkai, Eli

Subjects
Condensed Matter - Statistical Mechanics
Abstract

We study the ballistic L\'evy walk stemming from an infinite mean traveling time between collision events. Our study focuses on the density of spreading particles all starting from a common origin, which is limited by a `light' cone $-v_0 t

Published
2020
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39. Extreme value theory for constrained physical systems

Author

Höll, Marc, Wang, Wanli, and Barkai, Eli

Subjects
Condensed Matter - Statistical Mechanics
Abstract

We investigate extreme value theory for physical systems with a global conservation law which describe renewal processes, mass transport models and long-range interacting spin models. As shown previously, a special feature is that the distribution of the extreme value exhibits a non-analytical point in the middle of the support. We expose exact relationships between constrained extreme value theory and well-known quantities of the underlying stochastic dynamics, all valid beyond the midpoint in generality, i.e. even far from the thermodynamic limit. For example for renewal processes, the distribution of the maximum time between two renewal events is exactly related to the mean number of these events. In the thermodynamic limit, we show how our theory is suitable to describe typical and rare events which deviate from classical extreme value theory. For example for the renewal process, we unravel dual scaling of the extreme value distribution, pointing out two types of limiting laws: a normalisable scaling function for the typical statistics and a non-normalised state describing the rare events.

Published
2020
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40. Quantification of nanoscale density fluctuations in hydrogenated amorphous silicon

Author

Gericke, Eike, Melskens, Jimmy, Wendt, Robert, Wollgarten, Markus, Hoell, Armin, and Lips, Klaus

Subjects
Condensed Matter - Materials Science
Abstract

The nanostructure of hydrogenated amorphous silicon (a Si:H) is studied by a combination of small-angle X-ray (SAXS) and neutron scattering (SANS) with a spatial resolution of 0.8 nm. The a-Si:H materials were deposited using a range of widely varied conditions and are representative for this class of materials. We identify two different phases which are embedded in the a-Si:H matrix and quantified both according to their scattering cross-sections. First, 1.2 nm sized voids (multivacancies with more than 10 missing atoms) which form a superlattice with 1.6 nm void-to-void distance are detected. The voids are found in concentrations as high as 6*10^19 ccm in a-Si:H material that is deposited at a high rate. Second, dense ordered domains (DOD) that are depleted of hydrogen with 1 nm average diameter are found. The DOD tend to form 10-15 nm sized aggregates and are largely found in all a-Si:H materials considered here. These quantitative findings make it possible to understand the complex correlation between structure and electronic properties of a-Si:H and directly link them to the light-induced formation of defects. Finally, a structural model is derived, which verifies theoretical predictions about the nanostructure of a-Si:H., Comment: Letter presenting a model for a-Si:H derived by SAXS and SANS

Published
2020
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43. Ausrüstung und Materialien

Author

Feth, Maximilian, Nagl, Alexander, Höll, Mike, Gliwitzky, Bernhard, Grübl, Tobias, editor, Gliwitzky, Bernhard, editor, Bernhard, Michael, editor, Feth, Maximilian, editor, Düsterwald, Stephan, editor, and Hossfeld, Björn, editor

Published
2023
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49. Age, successive waves, immunization, and mortality in elderly COVID-19 hematological patients: EPICOVIDEHA findings

Author

MARQUES DE ALMEIDA, Joyce, HERNÁNDEZ-RIVAS, José-Ángel, GUIDETTI, Anna, FINIZIO, Olimpia, STOJANOSKI, Zlate, CVETANOSKI, Milche, MELETIADIS, Joseph, DE JONGE, Nick, ANTIĆ, Darko, ALI, Natasha, TISI, Maria Chiara, SERRANO, Laura, PLANTEFEVE, Gaëtan, KHANNA, Nina, HOENIGL, Martin, ČERŇAN, Martin, MIRANDA-CASTILLO, Carolina, FERNÁNDEZ-GALÁN, María, SERRIS, Alexandra, ERBEN, Nurettin, DULÉRY, Rémy, AUJAYEB, Avinash, PAPA, Mario Virgilio, NOVÁK, Jan, DELIA, Mario, SAPIENZA, Giuseppe, REIZINE, Florian, OMRANI, Ali S., DI BLASI, Roberta, LAMURE, Sylvain, DRGOŇA, Ľuboš, COPPOLA, Nicola, BATINIĆ, Josip, AL-KHABORI, Murtadha, RIBERA-SANTA SUSANA, José-María, PIEDIMONTE, Monica, LOUREIRO-AMIGO, Jorge, FOUQUET, Guillemette, FAZZI, Rita, DANION, François, SCHUBERT, Jörg, HOELL-NEUGEBAUER, Baerbel, BAHR, Nathan C., YAHIA, Ayel Omar, TORRES-ATIENZA, Ana, RINALDI, Ikhwan, POPOVA, Marina, OMMEN, Hans-Beier, MITRA, Maria Enza, MIKULSKA, Malgorzata, LACEJ, Ira, KHOSTELIDI, Sofya, WIN, Sein, VINH, Donald, SALEH, Modar, PRATTES, Juergen, JINDRA, Pavel, GUOLO, Fabio, DELLA PEPA, Roberta, CHELYSHEVA, Ekaterina, ZDZIARSKI, Przemyslaw, WAI-MAN, Vivien, SOTO-SILVA, Andrés, ORTH, Hans Martin, MALAK, Sandra, LORENZO DE LA PEÑA, Lisset, KOLDITZ, Martin, Shan KHO, Chi, HEATH, Christopher H., GROH, Ana, GAVRIILAKI, Eleni, FUNG, Monica, EGGER, Matthias, DE KORT, Elizabeth, DE CABO, Erik, CUSHION, Tania, CHOWDHURY, Fazle Rabbi, CEESAY, M. Mansour, BREHON, Mathias, VARRICCHIO, Gina, TAFURI, Agostino, JIMÉNEZ-LORENZO, María-Josefa, KLIMKO, Nikolai, TSIRIGOTIS, Panagiotis, ANTONIADOU, Anastasia, VEHRESCHILD, Maria, Rossi, Giuseppe, Salmanton-García, Jon, Cattaneo, Chiara, Marchesi, Francesco, Dávila-Valls, Julio, Martín-Pérez, Sonia, Itri, Federico, López-García, Alberto, Glenthøj, Andreas, Gomes da Silva, Maria, Besson, Caroline, Marchetti, Monia, Weinbergerová, Barbora, Jaksic, Ozren, Jiménez, Moraima, Bilgin, Yavuz M., Van Doesum, Jaap, Farina, Francesca, Žák, Pavel, Verga, Luisa, Collins, Graham P., Bonuomo, Valentina, Van Praet, Jens, Nucci, Marcio, Meers, Stef, Espigado, Ildefonso, Fracchiolla, Nicola S., Valković, Toni, Poulsen, Christian Bjørn, Čolović, Natasha, Dragonetti, Giulia, Ledoux, Marie-Pierre, Tascini, Carlo, Buquicchio, Caterina, Blennow, Ola, Passamonti, Francesco, Machado, Marina, Labrador, Jorge, Duarte, Rafael F., Schönlein, Martin, Prezioso, Lucia, Falces-Romero, Iker, Kulasekararaj, Austin, Garcia-Vidal, Carolina, Fernández, Noemí, Abu-Zeinah, Ghaith, Ormazabal-Vélez, Irati, Adžić-Vukičević, Tatjana, Piukovics, Klára, Stoma, Igor, Cuccaro, Annarosa, Magliano, Gabriele, Szotkowski, Tomáš, González-López, Tomás-José, El-Ashwah, Shaimaa, Bergantim, Rui, Sili, Uluhan, Maertens, Johan, Demirkan, Fatih, De Ramón, Cristina, Petzer, Verena, Del Principe, Maria Ilaria, Navrátil, Milan, Dargenio, Michelina, Seval, Guldane Cengiz, Samarkos, Michail, Ráčil, Zdeněk, Pinczés, László Imre, Lahmer, Tobias, Busca, Alessandro, Méndez, Gustavo-Adolfo, Vena, Antonio, Biernat, Monika M., Merelli, Maria, Calbacho, Maria, Barać, Aleksandra, Bavastro, Martina, Limongelli, Alessandro, Ilhan, Osman, Wolf, Dominik, Çolak, Gökçe Melis, García-Sanz, Ramón, Emarah, Ziad, Mišković, Bojana, Gräfe, Stefanie K., Mladenović, Miloš, Aiello, Tommaso Francesco, Núñez-Martín-Buitrago, Lucía, Nordlander, Anna, Arellano, Elena, Zambrotta, Giovanni Paolo Maria, Ammatuna, Emanuele, Cabirta, Alba, Sacchi, Maria Vittoria, Nunes Rodrigues, Raquel, Hersby, Ditte Stampe, Hanakova, Michaela, Rahimli, Laman, Cordoba, Raul, Cornely, Oliver A., and Pagano, Livio

Published
2023
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50. Prospective, multi-site study of healthcare utilization after actionable monogenic findings from clinical sequencing

Author

Linder, Jodell E., Tao, Ran, Chung, Wendy K., Kiryluk, Krzysztof, Liu, Cong, Weng, Chunhua, Connolly, John J., Hakonarson, Hakon, Harr, Margaret, Leppig, Kathleen A., Jarvik, Gail P., Veenstra, David L., Aufox, Sharon, Chisholm, Rex L., Gordon, Adam S., Hoell, Christin, Rasmussen-Torvik, Laura J., Smith, Maureen E., Holm, Ingrid A., Miller, Erin M., Prows, Cynthia A., Elskeally, Omar, Kullo, Iftikhar J., Lee, Christopher, Jose, Sheethal, Manolio, Teri A., Rowley, Robb, Padi-Adjirackor, Nana Addo, Wilmayani, Ni Ketut, City, Brittany, Wei, Wei-Qi, Wiesner, Georgia L., Rahm, Alanna Kulchak, Williams, Janet L., Williams, Marc S., and Peterson, Josh F.

Published
2023
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