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5,033 results on '"COIN"'

1. Abitudini linguistiche e inclusione nelle classi multiculturali italiane

Author

Coin, Francesca

Subjects
High school. Immigrant students. Inclusion. Italian L2. Migratory background. Multicultural classes, Language. Linguistic theory. Comparative grammar, P101-410
Abstract

Language proficiency is an important aspect of the social inclusion of young people from a migrant background. However, some researchers noted similarities in the level of inclusion between first‑ and second‑generation children, despite the different linguistic profile. This study attempts to deepen the analysis of this relationship through the answers to a tailor‑made questionnaire given by 135 adolescents attending multi‑cultural schools in Venice. Italian L2 is confirmed as an essential factor for inclusion, but its effect comes more from its role in the construction of cultural identity than from the opportunity to communicate.

Published
2024
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2. Recognizing Depression in the Elderly: Practical Guidance and Challenges for Clinical Management

Author

Devita M, De Salvo R, Ravelli A, De Rui M, Coin A, Sergi G, and Mapelli D

Subjects
late life depression, older adults, mood disorders, geriatric depression, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Maria Devita,1,2 Rossella De Salvo,1 Adele Ravelli,2 Marina De Rui,2 Alessandra Coin,2 Giuseppe Sergi,2 Daniela Mapelli1 1Department of General Psychology (DPG), University of Padua, Padua, Italy; 2Geriatrics Division, Department of Medicine (DIMED), University of Padua, Padua, ItalyCorrespondence: Maria Devita, Department of General Psychology, Via Venezia 8, Padua, 35128, Italy, Tel +390498218949, Email maria.devita@unipd.itAbstract: Depression is one of the most common mood disorders in the late-life population and is associated with poor quality of life and increased morbidity, disability and mortality. Nevertheless, in older adults, it often remains undetected and untreated. This narrative review aims at giving an overview on the main definitions, clinical manifestations, risk and protective factors for depression in the elderly, and at discussing the main reasons for its under/misdiagnosis, such as cognitive decline and their overlapping symptomatology. A practical approach for the global and multidisciplinary care of the older adult with depression, derived from cross-checking evidence emerging from the literature with everyday clinical experience, is thus provided, as a short and flexible “pocket” guide to orient clinicians in recognizing, diagnosing and treating depression in the elderly.Keywords: late-life depression, older adults, mood disorders, geriatric depression

Published
2022

3. AI Multi-Agent Interoperability Extension for Managing Multiparty Conversations

Author

Gosmar, Diego, Dahl, Deborah A., Coin, Emmett, and Attwater, David

Subjects
Computer Science - Artificial Intelligence, Computer Science - Multiagent Systems
Abstract

This paper presents a novel extension to the existing Multi-Agent Interoperability specifications of the Open Voice Interoperability Initiative (originally also known as OVON from the Open Voice Network). This extension enables AI agents developed with different technologies to communicate using a universal, natural language-based API or NLP-based standard APIs. Focusing on the management of multiparty AI conversations, this work introduces new concepts such as the Convener Agent, Floor-Shared Conversational Space, Floor Manager, Multi-Conversant Support, and mechanisms for handling Interruptions and Uninvited Agents. Additionally, it explores the Convener's role as a message relay and controller of participant interactions, enhancing both scalability and security. These advancements are crucial for ensuring smooth, efficient, and secure interactions in scenarios where multiple AI agents need to collaborate, debate, or contribute to a discussion. The paper elaborates on these concepts and provides practical examples, illustrating their implementation within the conversation envelope structure., Comment: 20 pages, 3 figures

Published
2024

4. Conversational AI Multi-Agent Interoperability, Universal Open APIs for Agentic Natural Language Multimodal Communications

Author

Gosmar, Diego, Dahl, Deborah A., and Coin, Emmett

Subjects
Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction
Abstract

This paper analyses Conversational AI multi-agent interoperability frameworks and describes the novel architecture proposed by the Open Voice Interoperability initiative (Linux Foundation AI and DATA), also known briefly as OVON (Open Voice Network). The new approach is illustrated, along with the main components, delineating the key benefits and use cases for deploying standard multi-modal AI agency (or agentic AI) communications. Beginning with Universal APIs based on Natural Language, the framework establishes and enables interoperable interactions among diverse Conversational AI agents, including chatbots, voicebots, videobots, and human agents. Furthermore, a new Discovery specification framework is introduced, designed to efficiently look up agents providing specific services and to obtain accurate information about these services through a standard Manifest publication, accessible via an extended set of Natural Language-based APIs. The main purpose of this contribution is to significantly enhance the capabilities and scalability of AI interactions across various platforms. The novel architecture for interoperable Conversational AI assistants is designed to generalize, being replicable and accessible via open repositories., Comment: 22 pages, 8 figures

Published
2024

6. A Bayesian approach to functional regression: theory and computation

Author

Berrendero, José R., Coín, Antonio, and Cuevas, Antonio

Subjects
Statistics - Methodology, Mathematics - Statistics Theory, Statistics - Computation, 62M20, 62F15, 62-08 (Primary) 62J05, 62J12 (Secondary)
Abstract

We propose a novel Bayesian methodology for inference in functional linear and logistic regression models based on the theory of reproducing kernel Hilbert spaces (RKHS's). We introduce general models that build upon the RKHS generated by the covariance function of the underlying stochastic process, and whose formulation includes as particular cases all finite-dimensional models based on linear combinations of marginals of the process, which can collectively be seen as a dense subspace made of simple approximations. By imposing a suitable prior distribution on this dense functional space we can perform data-driven inference via standard Bayes methodology, estimating the posterior distribution through reversible jump Markov chain Monte Carlo methods. In this context, our contribution is two-fold. First, we derive a theoretical result that guarantees posterior consistency, based on an application of a classic theorem of Doob to our RKHS setting. Second, we show that several prediction strategies stemming from our Bayesian procedure are competitive against other usual alternatives in both simulations and real data sets, including a Bayesian-motivated variable selection method., Comment: 41 pages (17 excluding references and appendices), 15 figures (6 in the main body), 8 tables (0 in the main body); Python source code at https://github.com/antcc/rk-bfr-jump

Published
2023

7. Exploring the role of calf circumference as a predisposing factor for intra-hospital delirium: investigating potential gender differences: revealing potential gender variances

Author

Ceolin, Chiara, Papa, Mario Virgilio, Simonato, Cristina, Cazzavillan, Sara, Vergadoro, Margherita, Trapella, Giulia Salerno, Sermasi, Riccardo, De Rui, Marina, Noale, Marianna, Zanforlini, Bruno Micael, Curreri, Chiara, Bertocco, Anna, Devita, Maria, Sergi, Giuseppe, and Coin, Alessandra

Published
2024
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10. Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis

Author

Chai, Ming G., Tu, Quyen, Cotta, Menino O., Bauer, Michelle J., Balch, Ross, Okafor, Charles, Comans, Tracy, Kruger, Peter, Meyer, Jason, Shekar, Kiran, Brady, Kara, Fourie, Cheryl, Sharp, Natalie, Vlad, Luminita, Whiley, David, Ungerer, Jacobus P. J., Mcwhinney, Brett C., Farkas, Andras, Paterson, David L., Clark, Julia E., Hajkowicz, Krispin, Raman, Sainath, Bialasiewicz, Seweryn, Lipman, Jeffrey, Forde, Brian M., Harris, Patrick N. A., Schlapbach, Luregn J., Coin, Lachlan, Roberts, Jason A., and Irwin, Adam D.

Published
2024
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11. Taste loss in hospitalized multimorbid elderly subjects

Author

Toffanello ED, Inelmen EM, Imoscopi A, Perissinotto E, Coin A, Miotto F, Donini LM, Cucinotta D, Barbagallo M, Manzato E, and Sergi G

Subjects
taste thresholds, taste loss, hospitalized elderly, sour stimuli, polypharmacy, malnutrition., Geriatrics, RC952-954.6
Abstract

ED Toffanello,1 EM Inelmen,1 A Imoscopi,1 E Perissinotto,2 A Coin,1 F Miotto,1 LM Donini,3 D Cucinotta,4 M Barbagallo,5 E Manzato,1 G Sergi11Department of Medical and Surgical Sciences, Geriatrics Division and University of Padova, Padova, 2Department of Environmental Medicine and Public Health, University of Padua, Padua, Italy; 3Department of Medical Physiopathology (Food Science Section), University of Roma, La Sapienza, Roma, 4S Orsola Malpighi Hospital, Bologna, 5Geriatric Unit, Department of Internal Medicine and Emerging Diseases, University of Palermo, Palermo, ItalyBackground: Loss of the sense of taste is common among older people. Morbidities and polypharmacy may contribute to the age-related decline in gustatory function. The aims of the present study were to investigate taste perception in elderly hospitalized patients by comparing their taste recognition thresholds with those of healthy, free-living elderly individuals and to identify potential determinants of taste loss.Methods: The participants in this observational study were 55 elderly patients hospitalized in the acute geriatric section of the Department of Medical and Surgical Sciences at Padova University and 41 free-living individuals aged older than 65 years, randomly recruited from elderly people attending mild fitness programs at public gymnasiums in Padova. Data were collected on nutrition, health, cognitive, and functional status for all participants. Gustatory capabilities were assessed using aqueous solutions of sucrose, sodium chloride, citric acid, and quinine hydrochloride (representing sweet, salty, sour, and bitter stimuli, respectively), and taste recognition thresholds were measured in both groups.Results: In comparison with the free-living elderly subjects, those in hospital were significantly less able to recognize the taste of citric acid (P < 0.05). Low citric acid sensitivity was independently associated with advanced age (≥75 years; odds ratio [OR] 3.01, 95% confidence interval [CI] 1.01–9.82), polypharmacy (number of prescribed drugs ≥ 4; OR 2.74, 95% CI 1.01–7.72), and poor nutritional status (as assessed by Mini Nutritional Assessment score < 23.5; OR 5.08, 95% CI 1.76–14.6).Conclusion: Because gustatory impairment may reduce a person's appetite and lead to inadequate dietary intake, compensatory nutritional measures, such as the use of flavor-enhanced foods, should be strongly encouraged, particularly in the hospital setting.Keywords: taste thresholds, taste loss, hospitalized elderly, sour stimuli, polypharmacy, malnutrition

Published
2013

12. Evolution of Costs of Inflammatory Bowel Disease over Two Years of Follow-Up.

Author

Mirthe E van der Valk, Marie-Josée J Mangen, Mirjam Severs, Mike van der Have, Gerard Dijkstra, Ad A van Bodegraven, Herma H Fidder, Dirk J de Jong, C Janneke van der Woude, Mariëlle J L Romberg-Camps, Cees H M Clemens, Jeroen M Jansen, Paul C van de Meeberg, Nofel Mahmmod, Andrea E van der Meulen-de Jong, Cyriel Y Ponsioen, Clemens Bolwerk, J Reinoud Vermeijden, Peter D Siersema, Max Leenders, Bas Oldenburg, and COIN study group and the Dutch Initiative on Crohn and Colitis

Subjects
Medicine, Science
Abstract

With the increasing use of anti-TNF therapy in inflammatory bowel disease (IBD), a shift of costs has been observed with medication costs replacing hospitalization and surgery as major cost driver. We aimed to explore the evolution of IBD-related costs over two years of follow-up.In total 1,307 Crohn's disease (CD) patients and 915 ulcerative colitis (UC) patients were prospectively followed for two years by three-monthly web-based questionnaires. Changes of healthcare costs, productivity costs and out-of-pocket costs over time were assessed using mixed model analysis. Multivariable logistic regression analysis was used to identify costs drivers. In total 737 CD patients and 566 UC were included. Total costs were stable over two years of follow-up, with annual total costs of €7,835 in CD and €3,600 in UC. However, within healthcare costs, the proportion of anti-TNF therapy-related costs increased from 64% to 72% in CD (p

Published
2016
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13. The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity

Author

Marini E, Buffa R, Saragat B, Coin A, Toffanello ED, Berton L, Manzato E, and Sergi G

Subjects
aging, body composition, BIVA, DXA, Geriatrics, RC952-954.6
Abstract

Elisabetta Marini,1 Roberto Buffa,1 Bruno Saragat,1 Alessandra Coin,2 Elena Debora Toffanello,2 Linda Berton,2 Enzo Manzato,2 Giuseppe Sergi21Department of Environmental and Life Sciences, University of Cagliari, Italy; 2Department of Medicine-DIMED, Geriatrics Section, University of Padua, ItalyPurpose: The aim of this paper is to investigate whether bioelectrical impedance vector analysis (BIVA) can be a suitable technique for the assessment of sarcopenia. We also investigate the potential use of specific BIVA as an indicator of sarcopenic obesity.Subjects and methods: The sample comprised 207 free-living elderly individuals of both sexes, aged 65 to 93 years. Anthropometric and bioelectrical measurements were taken according to standard criteria. The “classic” and “specific” BIVA procedures, which respectively correct bioelectrical values for body height and body geometry, were used. Dual energy X-ray absorptiometry (DXA) was used as the reference method for identifying sarcopenic and obese sarcopenic individuals. Bioelectrical and DXA values were compared using Student’s t-test and Hotelling’s T2 test, as well as Pearson’s correlation coefficient.Results: According to classic BIVA, sarcopenic individuals of both sexes showed higher values of resistance/height (R/H; p < 0.01) and impedance/height (Z/H; p < 0.01), and a lower phase angle (p < 0.01). Similarly, specific BIVA showed significant differences between sarcopenic and nonsarcopenic individuals (men: T2 = 15.7, p < 0.01; women: T2 = 10.7, p < 0.01), with the sarcopenic groups showing a lower specific reactance and phase angle. Phase angle was positively correlated with the skeletal muscle mass index (men: r = 0.52, p < 0.01; women: r = 0.31, p < 0.01). Specific BIVA also recognized bioelectrical differences between sarcopenic and sarcopenic obese men (T2 = 13.4, p < 0.01), mainly due to the higher values of specific R in sarcopenic obese individuals.Conclusion: BIVA detected muscle-mass variations in sarcopenic individuals, and specific BIVA was able to discriminate sarcopenic individuals from sarcopenic obese individuals. These procedures are promising tools for screening for presarcopenia, sarcopenia, and sarcopenic obesity in routine practice.Keywords: aging, body composition, BIVA, DXA

Published
2012

14. Diagnosis of Multisystem Inflammatory Syndrome in Children by a Whole-Blood Transcriptional Signature

Author

Jackson, Heather R, Miglietta, Luca, Habgood-Coote, Dominic, D'Souza, Giselle, Shah, Priyen, Nichols, Samuel, Vito, Ortensia, Powell, Oliver, Davidson, Maisey Salina, Shimizu, Chisato, Agyeman, Philipp KA, Beudeker, Coco R, Brengel-Pesce, Karen, Carrol, Enitan D, Carter, Michael J, De, Tisham, Eleftheriou, Irini, Emonts, Marieke, Epalza, Cristina, Georgiou, Pantelis, De Groot, Ronald, Fidler, Katy, Fink, Colin, van Keulen, Daniëlle, Kuijpers, Taco, Moll, Henriette, Papatheodorou, Irene, Paulus, Stephane, Pokorn, Marko, Pollard, Andrew J, Rivero-Calle, Irene, Rojo, Pablo, Secka, Fatou, Schlapbach, Luregn J, Tremoulet, Adriana H, Tsolia, Maria, Usuf, Effua, Van Der Flier, Michiel, Von Both, Ulrich, Vermont, Clementien, Yeung, Shunmay, Zavadska, Dace, Zenz, Werner, Coin, Lachlan JM, Cunnington, Aubrey, Burns, Jane C, Wright, Victoria, Martinon-Torres, Federico, Herberg, Jethro A, Rodriguez-Manzano, Jesus, Kaforou, Myrsini, and Levin, Michael

Subjects
Paediatrics, Medical Microbiology, Biomedical and Clinical Sciences, Pediatric, Genetics, Infectious Diseases, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, Child, Humans, COVID-19, Systemic Inflammatory Response Syndrome, Hospitals, Mucocutaneous Lymph Node Syndrome, COVID-19 Testing, MIS-C, diagnostic signature, host diagnostics, host response, pediatric infectious diseases, rapid diagnostics, transcriptomics, Medical microbiology
Abstract

BackgroundTo identify a diagnostic blood transcriptomic signature that distinguishes multisystem inflammatory syndrome in children (MIS-C) from Kawasaki disease (KD), bacterial infections, and viral infections.MethodsChildren presenting with MIS-C to participating hospitals in the United Kingdom and the European Union between April 2020 and April 2021 were prospectively recruited. Whole-blood RNA Sequencing was performed, contrasting the transcriptomes of children with MIS-C (n = 38) to those from children with KD (n = 136), definite bacterial (DB; n = 188) and viral infections (DV; n = 138). Genes significantly differentially expressed (SDE) between MIS-C and comparator groups were identified. Feature selection was used to identify genes that optimally distinguish MIS-C from other diseases, which were subsequently translated into RT-qPCR assays and evaluated in an independent validation set comprising MIS-C (n = 37), KD (n = 19), DB (n = 56), DV (n = 43), and COVID-19 (n = 39).ResultsIn the discovery set, 5696 genes were SDE between MIS-C and combined comparator disease groups. Five genes were identified as potential MIS-C diagnostic biomarkers (HSPBAP1, VPS37C, TGFB1, MX2, and TRBV11-2), achieving an AUC of 96.8% (95% CI: 94.6%-98.9%) in the discovery set, and were translated into RT-qPCR assays. The RT-qPCR 5-gene signature achieved an AUC of 93.2% (95% CI: 88.3%-97.7%) in the independent validation set when distinguishing MIS-C from KD, DB, and DV.ConclusionsMIS-C can be distinguished from KD, DB, and DV groups using a 5-gene blood RNA expression signature. The small number of genes in the signature and good performance in both discovery and validation sets should enable the development of a diagnostic test for MIS-C.

Published
2023

17. Host gene expression signatures to identify infection type and organ dysfunction in children evaluated for sepsis: a multicentre cohort study

Author

Levin, Michael, Coin, Lachlan, Gormley, Stuart, Hamilton, Shea, Hoggart, Clive, Kaforou, Myrsini, Sancho-Shimizu, Vanessa, Wright, Victoria, Abdulla, Amina, Agapow, Paul, Bartlett, Maeve, Eleftherohorinou, Hariklia, Galassini, Rachel, Inwald, David, Mashbat, Meg, Menikou, Stephanie, Mustafa, Sobia, Nadel, Simon, Rahman, Rahmeen, Shailes, Hannah, Thakker, Clare, Bokhandi, S., Power, Sue, Barham, Heather, Pathan, N., Ridout, Jenna, White, Deborah, Thurston, Sarah, Faust, S., Patel, S., McCorkell, Jenni, Davies, P., Crate, Lindsey, Navarra, Helen, Carter, Stephanie, Ramaiah, R., Patel, Rekha, Tuffrey, Catherine, Gribbin, Andrew, McCready, Sharon, Peters, Mark, Hardy, Katie, Standing, Fran, O'Neill, Lauren, Abelake, Eugenia, Deep, Akash, Nsirim, Eniola, Pollard, Andrew, Willis, Louise, Young, Zoe, Royad, C., White, Sonia, Fortune, Peter-Marc, Hudnott, Phil, Martinón-Torres, Federico, Salas, Antonio, Álvez González, Fernando, Barral-Arca, Ruth, Cebey-López, Miriam, Curras-Tuala, María José, García, Natalia, García Vicente, Luisa, Gómez-Carballa, Alberto, Gómez Rial, Jose, Grela Beiroa, Andrea, Justicia Grande, Antonio, Leboráns Iglesias, Pilar, Martínez Santos, Alba Elena, Martinón-Torres, Nazareth, Martinón Sánchez, José María, Morillo Gutiérrez, Beatriz, Mosquera Pérez, Belén, Obando Pacheco, Pablo, Pardo-Seco, Jacobo, Pischedda, Sara, Rivero-Calle, Irene, Rodríguez-Tenreiro, Carmen, Redondo-Collazo, Lorenzo, Salas Ellacuriaga, Antonio, Fernández, Sonia Serén, del Sol Porto Silva, María, Vega, Ana, Vilanova Trillo, Lucía, Reyes, Susana Beatriz, Cruz León León, María, Navarro Mingorance, Álvaro, Gabaldó Barrio, Xavier, Oñate Vergara, Eider, Concha Torre, Andrés, Vivanco, Ana, Fernández, Reyes, Giménez Sánchez, Francisco, Sánchez Forte, Miguel, Rojo, Pablo, Contreras, J. Ruiz, Palacios, Alba, Epalza Ibarrondo, Cristina, Fernández Cooke, Elizabeth, Navarro, Marisa, Álvarez Álvarez, Cristina, José Lozano, María, Carreras, Eduardo, Brió Sanagustín, Sonia, Neth, Olaf, Martínez Padilla, Mª del Carmen, Prieto Tato, Luis Manuel, Guillén, Sara, Fernández Silveira, Laura, Moreno, David, de Groot, R., Tutu van Furth, A.M., van der Flier, M., Boeddha, N.P., Driessen, G.J.A., Emonts, M., Hazelzet, J.A., Kuijpers, T.W., Pajkrt, D., Sanders, E.A.M., van de Beek, D., van der Ende, A., Philipsen, H.L.A., Adeel, A.O.A., Breukels, M.A., Brinkman, D.M.C., de Korte, C.C.M.M., de Vries, E., de Waal, W.J., Dekkers, R., Dings-Lammertink, A., Doedens, R.A., Donker, A.E., Dousma, M., Faber, T.E., Gerrits, G.P.J.M., Gerver, J.A.M., Heidema, J., Homan-van der Veen, J., Jacobs, M.A.M., Jansen, N.J.G., Kawczynski, P., Klucovska, K., Kneyber, M.C.J., Koopman-Keemink, Y., Langenhorst, V.J., Leusink, J., Loza, B.F., Merth, I.T., Miedema, C.J., Neeleman, C., Noordzij, J.G., Obihara, C.C., van Overbeek- van Gils, A.L.T., Poortman, G.H., Potgieter, S.T., Potjewijd, J., Rosias, P.P.R., Sprong, T., ten Tussher, G.W., Thio, B.J., Tramper-Stranders, G.A., van Deuren, M., van der Meer, H., van Kuppevelt, A.J.M., van Wermeskerken, A.M., Verwijs, W.A., Wolfs, T.F.W., Schlapbach, Luregn J., Agyeman, Philipp, Aebi, Christoph, Giannoni, Eric, Stocker, Martin, Posfay-Barbe, Klara M., Heininger, Ulrich, Bernhard-Stirnemann, Sara, Niederer-Loher, Anita, Kahlert, Christian, Hasters, Paul, Relly, Christa, Baer, Walter, Berger, Christoph, Carrol, Enitan D., Paulus, Stéphane, Frederick, Hannah, Jennings, Rebecca, Johnston, Joanne, Kenwright, Rhian, Fink, Colin G, Pinnock, Elli, Emonts, Marieke, Agbeko, Rachel, Anderson, Suzanne, Secka, Fatou, Bojang, Kalifa, Sarr, Isatou, Kebbeh, Ngange, Sey, Gibbi, Saidykhan, Momodou, Cole, Fatoumata, Thomas, Gilleh, Antonio, Martin, Zenz, Werner, Kohlfürst, Daniela S., Binder, Alexander, Schweintzger, Nina A., Sagmeister, Manfred, Baumgart, Hinrich, Baumgartner, Markus, Behrends, Uta, Biebl, Ariane, Birnbacher, Robert, Blanke, Jan-Gerd, Boelke, Carsten, Breuling, Kai, Brunner, Jürgen, Buller, Maria, Dahlem, Peter, Dietrich, Beate, Eber, Ernst, Elias, Johannes, Emhofer, Josef, Etschmaier, Rosa, Farr, Sebastian, Girtler, Ylenia, Grigorow, Irina, Heimann, Konrad, Ihm, Ulrike, Jaros, Zdenek, Kalhoff, Hermann, Kaulfersch, Wilhelm, Kemen, Christoph, Klocker, Nina, Köster, Bernhard, Kohlmaier, Benno, Komini, Eleni, Kramer, Lydia, Neubert, Antje, Ortner, Daniel, Pescollderungg, Lydia, Pfurtscheller, Klaus, Reiter, Karl, Ristic, Goran, Rödl, Siegfried, Sellner, Andrea, Sonnleitner, Astrid, Sperl, Matthias, Stelzl, Wolfgang, Till, Holger, Trobisch, Andreas, Vierzig, Anne, Vogel, Ulrich, Weingarten, Christina, Welke, Stefanie, Wimmer, Andreas, Wintergerst, Uwe, Wüller, Daniel, Zaunschirm, Andrew, Ziuraite, Ieva, Žukovskaja, Veslava, Hibberd, Martin L., Davila, Sonia, Delany, Isabel, Schlapbach, Luregn J, Raman, Sainath, Sharp, Nathalie, Phillips, Natalie, Irwin, Adam, Balch, Ross, Harley, Amanda, Johnson, Kerry, Sever, Zoe, George, Shane, Grimwood, Keith, Snelling, Peter J, Chavan, Arjun, Kitcatt, Eleanor, Lawton, Luke, Hempenstall, Allison, Pilot, Pelista, Gibbons, Kristen S, Le Marsney, Renate, Blumenthal, Antje, Ganesamoorthy, Devika, Pardo, Carolyn, Kling, Jessica, McPherson, Stephen, MacDonald, Anna D, Bialasiewicz, Seweryn, Pham, Trang, Wilson, Clare, Sharp, Natalie, Kling, Jessica C, McPherson, Stephen J, Herberg, Jethro A, and Coin, Lachlan J M

Published
2024
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19. Delirium Incidence and Predictors in SARS-CoV-2 Vaccinated Residents in Long-Term Care Facilities (LTCF): Insights from the GeroCovid Vax Study

Author

Okoye, Chukwuma, Zazzara, Maria Beatrice, Ceolin, Chiara, Fedele, Giorgio, Palmieri, Annapina, Abbatecola, Angela Marie, Malara, Alba, Trevisan, Caterina, Timmons, Suzanne, Prato, Rosa, Fortunato, Francesca, Del Signore, Susanna, Bellelli, Giuseppe, Incalzi, Raffaele Antonelli, Onder, Graziano, and Coin, Alessandra

Published
2024
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23. A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study

Author

Jackson, Heather Ruth, Zandstra, Judith, Menikou, Stephanie, Hamilton, Shea, McArdle, Andrew J, De, Tisham, Agyeman, Philipp K A, Von Both, Ulrich, Carrol, Enitan D, Emonts, Marieke, Eleftheriou, Irini, Van der Flier, Michiel, Fink, Colin, De Groot, Ronald, Moll, Henriette A, Pokorn, Marko, Pollard, Andrew, Schlapbach, Luregn J, Tsolia, Maria, Usuf, Effua, Wright, Victoria, Yeung, Shunmay, Zavadska, Dace, Zenz, Werner, Coin, Lachlan JM, Cunnington, Aubrey J, Martinon-Torres, Federico, Herberg, Jethro, De Jonge, Marien I, Levin, Michael, Kuijpers, Taco, Kaforou, Myrsini, Abdulla, Amina, Aebi, Christoph, Agbeko, Rachel, Ali, Ladan, Alkema, Wynand, Allen, Karen, Anderson, Suzanne, Ansari, Imran, Arif, Tasnim, Avramoska, Tanja, Baas, Bryan, Bahovec, Natalija, Balode, Anda, Bãrdzdina, Arta, Barendregt, A M, Barral-Arca, Ruth, Bath, David, Bauchinger, Sebastian, Baumard, Lucas, Baumgart, Hinrich, Baxter, Frances, Bell, Kathryn, Bell, Ashley, Bello, Xabier, Bellos, Evangelos, Benesch, Martin, Bennet, Joshua, Berger, Christoph, Bernhard-Stirnemann, Sara, Bibi, Sagida, Bidlingmaier, Christoph, Binder, Alexander, Binder, Vera, Blackmore, Jennifer, Bojang, Kalifa, Borensztajn, Dorine M, Brengel-Pesce, Karen, Broderick, Claire, Buschbeck, Judith, Calvo-Bado, Leonides, Carnota, Sandra, Carter, Michael J, Castro, María Barreiro, Cebey-López, Miriam, Ceesay, Samba, Ceolotto, Astrid, Chan, Adora, Cocklin, Elizabeth, Collings, Kalvin, Crulley, Stephen, Curras-Tuala, María José, D'alessandro, Umberto, D'Souza, Giselle, Danhauser, Katharina, Darboe, Saffiatou, Darnell, Sarah, De Haan, L, De Vries, Gabriella, Deksne, Dãrta, Devine, Kirsty, Dewez, Juan Emmanuel, Dik, W, Dudley, Julia, Eber, Ernst, Fabian, Daniel, Farto, Cristina Balo, Fernández, Sonia Serén, Fidler, Katy, Fitchett, Elizabeth, Galassini, Rachel, Gallisti, Siegfried, García, Mirian Ben, Gardovska, Dace, Geissler, J, Gerrits, G P J M, Giannoni, Eric, Gloerich, Jolein, Gómez-Carballa, Alberto, González, Fernando Álves, Gores, Gunther, Grãvele, Dagne, Griese, Matthias, Grope, Ilze, Gurung, Meeru, Haas, Nikolaus, Habgood-Coote, Dominic, Hagedoorn, Nienke N, Haidl, Harald, Harrison, Rebekah, Hauer, Almuthe, Heidema, J, Heininger, Ulrich, Henriet, Stefanie, Hibberd, Martin, Hoggart, Cllive, Hösele, Susanne, Hourmat, Sara, Hude, Christa, Huijnen, Martijn, Iglesias, Pilar Leboráns, Iglesias, Marisol Vilas, Jennings, Rebecca, Johnson, Joanne, Jongerius, Ilse, Jorgensen, Rikke, Kahlert, Christian, Kandasamy, Rama, Kappler, Matthias, Keldorfer, Markus, Kelly, Dominic F, Khanijau, Aakash, Kim, Nayoung, Kim, Eunjung, King, Sharon, Kolberg, Laura, Kolnik, Mojca, Kloosterhuis, Lieke, Kohlfürst, Daniela S, Kohlmaier, Benno, Krenn, Larissa, Leigh, Simon, Leitner, Manuel, Leurent, Baptiste, Lim, Emma, Lin, Naomi, Liu, Ching-Chuan, Löffler, Sabine, Lurz, Eberhard, Mackerness, Christine, Maconochie, Ian, Mallet, Francois, Marmarinos, Antonis, Martin, Alex, Martin, Mike, Martinón Sánchez, José María, Martinón-Torres, Nazareth, McAlinden, Paul, McDonald, Sam, McDonell, Anne, Meiere, Anija, Meierford, Anne, Miedema, C J, Miners, Alec, Mistry, Ravi, Mommert, Marine, Morris, Sophie, Muench, Georg, Murdoch, David R, Mustafa, Sobia, Natalucci, Giancarlo, Neeleman, C, Newall, Karen, Nichols, Samuel, Niederer-Loher, Anita, Niedrist, Tobias, Nijman, Ruud, Nokalna, Ieve, Nordberg, Gudrun, O'Connor, Daniel, Obihara, C C, Oliver, Zoe, Oosthoek, Wilma, Ora, Miguel Sadiki, Osterman, Veronika, Pachot, Alexandre, Pajkrt, D, Pardo-Seco, Jacobo, Pavãre, Jana, Paz, Ivonne Pena, Paulus, Stéphane, Pérez, Belén Mosquera, Persand, Salina, Pfleger, Andreas, Pfurtscheller, Klaus, Philipsen, Ria, Pickering, Alisa, Pierce, Benjamin, Pilch, Heidemarie, Pischedda, Sara, Pölz, Lena, Posfay-Barbe, Klara M, Powell, Oliver, Prunk, Petra, Pučuka, Zanda, Rajic, Glorija, Rashid, Aqeela, Redondo-Collazo, Lorenzo, Reiter, Karl, Relly, Christa, Rhodes, Mathew, Rial, Jose Gómez, Richmond, Vivien, Riedel, Thomas, Rivero Calle, Irene, Roca, Anna, Rödl, Siegfried, Rodríguez, Lidia Piñeiro, Rodríguez-Tenreiro, Carmen, Romaine, Sam, Rowlands, Emily, Rudzate, Aleksandra, Sagmeister, Manfred, Saidykhan, Momodou, Sallas, Antonio, Sarr, Isatou, Schoen, Carola, Schonenberg, D, Schweintzger, Nina, Secka, Fatou, Selecka, Katrīna, Shah, Priyen, Shen, Ching-Fen, Shrestha, Shrijana, Skrabl-Baumgartner, Andrea, Soon, Joshua, Sperl, Matthias, Sprenkeler, Evelien, Spyridis, Nikos, Srovin, Tina Plankar, Stampfer, Laura, Stevens, Molly, Stocker, Martin, Strenger, Volker, Suárez, Carlos Durán, Svile, Dace, Syggelou, Kelly, Tal, Chantal, Tambouratzi, Maria, Tavliavini, Emma, Thakker, Clare, Thomson, Evelyn, Throson, Stephen, Till, Holger, Tramper-Stranders, G A, Trasorras, Cristina Serén, Trobisch, Andreas, Urbãne, Urzula Nora, Usman, Mariama, Valentine, Lucille, Van Aerde, Koen, Van den Berg, J M, Van den Broek, Bryan, Van der Giessen, Ilona, Van der Kuip, M, Van der Velden, Fabian, Van Furth, A M, Van Gool, Alain J, Van Leur, M, van Mierlo, G, Vázquez, Sara Ray, Vermont, Clementien, Vicente, Luisa García, Vincek, Katarina, Vito, Ortensia, Voice, Marie, Wallia, Diane, Walsh, Ben, Wang, Shih-Min, Wedderburn, Catherine, Willems, Esther, Wilson, Clare, Wood, Amanda, Woodsford, Phil, Wyss, Verena, Xagorari, Marietta, Zachariasse, Joany, Zaman, Syed M A, Zurl, Christoph, Zwerenz, Manuela, Jackson, Heather R, Hamilton, Melissa Shea, Fischer, Roman, Thorne, Adam M, Huang, Honglei, Tanck, Michael W, Jansen, Machiel H, Pollard, Andrew J, Tsolia, Maria N, Wright, Victoria J, Coin, Lachlan J M, Casals-Pascual, Climent, Herberg, Jethro A, de Jonge, Marien I, and Kuijpers, Taco W

Published
2023
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28. Uncovering strain- and age-dependent innate immune responses to SARS-CoV-2 infection in air-liquid-interface cultured nasal epithelia

Author

Chang, Jessie J.-Y., Grimley, Samantha L., Tran, Bang M., Deliyannis, Georgia, Tumpach, Carolin, Nguyen, An N.T., Steinig, Eike, Zhang, JianShu, Schröder, Jan, Caly, Leon, McAuley, Julie, Wong, Sharon L., Waters, Shafagh A., Stinear, Timothy P., Pitt, Miranda E., Purcell, Damian, Vincan, Elizabeth, and Coin, Lachlan J.M.

Published
2024
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32. Correction: Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis

Author

Chai, Ming G., Tu, Quyen, Cotta, Menino O., Bauer, Michelle J., Balch, Ross, Okafor, Charles, Comans, Tracy, Kruger, Peter, Meyer, Jason, Shekar, Kiran, Brady, Kara, Fourie, Cheryl, Sharp, Natalie, Vlad, Luminita, Whiley, David, Ungerer, Jacobus P. J., Mcwhinney, Brett C., Farkas, Andras, Paterson, David L., Clark, Julia E., Hajkowicz, Krispin, Raman, Sainath, Bialasiewicz, Seweryn, Lipman, Jeffrey, Forde, Brian M., Harris, Patrick N. A., Schlapbach, Luregn J., Coin, Lachlan, Roberts, Jason A., and Irwin, Adam D.

Published
2024
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33. Plasma Protein Biomarkers Distinguish Multisystem Inflammatory Syndrome in Children From Other Pediatric Infectious and Inflammatory Diseases

Author

Yeoh, Sophya, Estrada-Rivadeneyra, Diego, Jackson, Heather, Keren, Ilana, Galassini, Rachel, Cooray, Samantha, Shah, Priyen, Agyeman, Philipp, Basmaci, Romain, Carrol, Enitan, Emonts, Marieke, Fink, Colin, Kuijpers, Taco, Martinon-Torres, Federico, Mommert-Tripon, Marine, Paulus, Stephane, Pokorn, Marko, Rojo, Pablo, Romani, Lorenza, Schlapbach, Luregn, Schweintzger, Nina, Shen, Ching-Fen, Tsolia, Maria, Usuf, Effua, van der Flier, Michiel, Vermont, Clementien, von Both, Ulrich, Yeung, Shunmay, Zavadska, Dace, Coin, Lachlan, Cunnington, Aubrey, Herberg, Jethro, Levin, Michael, Kaforou, Myrsini, and Hamilton, Shea

Published
2024
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35. Assessing Engagement of Students with Intellectual Disabilities in Educational Robotics Activities

Author

Coin, Francesca, Banzato, Monica, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Keane, Therese, editor, Lewin, Cathy, editor, Brinda, Torsten, editor, and Bottino, Rosa, editor

Published
2023
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42. Detection of Streptococcus pyogenes M1UK in Australia and characterization of the mutation driving enhanced expression of superantigen SpeA

Author

Davies, Mark R., Keller, Nadia, Brouwer, Stephan, Jespersen, Magnus G., Cork, Amanda J., Hayes, Andrew J., Pitt, Miranda E., De Oliveira, David M. P., Harbison-Price, Nichaela, Bertolla, Olivia M., Mediati, Daniel G., Curren, Bodie F., Taiaroa, George, Lacey, Jake A., Smith, Helen V., Fang, Ning-Xia, Coin, Lachlan J. M., Stevens, Kerrie, Tong, Steven Y. C., Sanderson-Smith, Martina, Tree, Jai J., Irwin, Adam D., Grimwood, Keith, Howden, Benjamin P., Jennison, Amy V., and Walker, Mark J.

Published
2023
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43. Anti-viral state segregates two molecular phenotypes of pancreatic adenocarcinoma: potential relevance for adenoviral gene therapy

Author

Chiorini Jay A, Worschech Andrea, Sorio Claudio, Eleuteri Stefano, Castellucci Monica, Bersani Samantha, Di Pasquale Giovanni, Coin Silvia, Barbi Stefano, Wang Richard, Beghelli Stefania, Monsurrò Vladia, Pederzoli Paolo, Alter Harvey, Marincola Francesco M, and Scarpa Aldo

Subjects
Medicine
Abstract

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) remains a leading cause of cancer mortality for which novel gene therapy approaches relying on tumor-tropic adenoviruses are being tested. Methods We obtained the global transcriptional profiling of primary PDAC using RNA from eight xenografted primary PDAC, three primary PDAC bulk tissues, three chronic pancreatitis and three normal pancreatic tissues. The Affymetrix GeneChip HG-U133A was used. The results of the expression profiles were validated applying immunohistochemical and western blot analysis on a set of 34 primary PDAC and 10 established PDAC cell lines. Permissivity to viral vectors used for gene therapy, Adenovirus 5 and Adeno-Associated Viruses 5 and 6, was assessed on PDAC cell lines. Results The analysis of the expression profiles allowed the identification of two clearly distinguishable phenotypes according to the expression of interferon-stimulated genes. The two phenotypes could be readily recognized by immunohistochemical detection of the Myxovirus-resistance A protein, whose expression reflects the activation of interferon dependent pathways. The two molecular phenotypes discovered in primary carcinomas were also observed among established pancreatic adenocarcinoma cell lines, suggesting that these phenotypes are an intrinsic characteristic of cancer cells independent of their interaction with the host's microenvironment. The two pancreatic cancer phenotypes are characterized by different permissivity to viral vectors used for gene therapy, as cell lines expressing interferon stimulated genes resisted to Adenovirus 5 mediated lysis in vitro. Similar results were observed when cells were transduced with Adeno-Associated Viruses 5 and 6. Conclusion Our study identified two molecular phenotypes of pancreatic cancer, characterized by a differential expression of interferon-stimulated genes and easily recognized by the expression of the Myxovirus-resistance A protein. We suggest that the detection of these two phenotypes might help the selection of patients enrolled in virally-mediated gene therapy trials.

Published
2010
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45. Super-enhancer-driven expression of BAHCC1 promotes melanoma cell proliferation and genome stability

Author

Berico, Pietro, Nogaret, Maguelone, Cigrang, Max, Lallement, Antonin, Vand-Rajabpour, Fatemeh, Flores-Yanke, Amanda, Gambi, Giovanni, Davidson, Guillaume, Seno, Leane, Obid, Julian, Vokshi, Bujamin H., Le Gras, Stephanie, Mengus, Gabrielle, Ye, Tao, Cordero, Carlos Fernandez, Dalmasso, Mélanie, Compe, Emmanuel, Bertolotto, Corine, Hernando, Eva, Davidson, Irwin, and Coin, Frédéric

Published
2023
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47. Inference of haplotypic phase and missing genotypes in polyploid organisms and variable copy number genomic regions

Author

Balding David J, White Jonathan, Su Shu-Yi, and Coin Lachlan JM

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background The power of haplotype-based methods for association studies, identification of regions under selection, and ancestral inference, is well-established for diploid organisms. For polyploids, however, the difficulty of determining phase has limited such approaches. Polyploidy is common in plants and is also observed in animals. Partial polyploidy is sometimes observed in humans (e.g. trisomy 21; Down's syndrome), and it arises more frequently in some human tissues. Local changes in ploidy, known as copy number variations (CNV), arise throughout the genome. Here we present a method, implemented in the software polyHap, for the inference of haplotype phase and missing observations from polyploid genotypes. PolyHap allows each individual to have a different ploidy, but ploidy cannot vary over the genomic region analysed. It employs a hidden Markov model (HMM) and a sampling algorithm to infer haplotypes jointly in multiple individuals and to obtain a measure of uncertainty in its inferences. Results In the simulation study, we combine real haplotype data to create artificial diploid, triploid, and tetraploid genotypes, and use these to demonstrate that polyHap performs well, in terms of both switch error rate in recovering phase and imputation error rate for missing genotypes. To our knowledge, there is no comparable software for phasing a large, densely genotyped region of chromosome from triploids and tetraploids, while for diploids we found polyHap to be more accurate than fastPhase. We also compare the results of polyHap to SATlotyper on an experimentally haplotyped tetraploid dataset of 12 SNPs, and show that polyHap is more accurate. Conclusion With the availability of large SNP data in polyploids and CNV regions, we believe that polyHap, our proposed method for inferring haplotypic phase from genotype data, will be useful in enabling researchers analysing such data to exploit the power of haplotype-based analyses.

Published
2008
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49. Diagnosis of childhood febrile illness using a multi-class blood RNA molecular signature

Author

Habgood-Coote, Dominic, Wilson, Clare, Shimizu, Chisato, Barendregt, Anouk M., Philipsen, Ria, Galassini, Rachel, Calle, Irene Rivero, Workman, Lesley, Agyeman, Philipp K.A., Ferwerda, Gerben, Anderson, Suzanne T., van den Berg, J. Merlijn, Emonts, Marieke, Carrol, Enitan D., Fink, Colin G., de Groot, Ronald, Hibberd, Martin L., Kanegaye, John, Nicol, Mark P., Paulus, Stéphane, Pollard, Andrew J., Salas, Antonio, Secka, Fatou, Schlapbach, Luregn J., Tremoulet, Adriana H., Walther, Michael, Zenz, Werner, Van der Flier, Michiel, Zar, Heather J., Kuijpers, Taco, Burns, Jane C., Martinón-Torres, Federico, Wright, Victoria J., Coin, Lachlan J.M., Cunnington, Aubrey J., Herberg, Jethro A., Levin, Michael, and Kaforou, Myrsini

Published
2023
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50. Relationship between molecular pathogen detection and clinical disease in febrile children across Europe: a multicentre, prospective observational study

Author

Shah, Priyen, Voice, Marie, Calvo-Bado, Leonides, Calle, Irene Rivero, Morris, Sophie, Nijman, Ruud, Broderick, Claire, De, Tisham, Eleftheriou, Irini, Galassini, Rachel, Khanijau, Aakash, Kolberg, Laura, Kolnik, Mojca, Rudzate, Aleksandra, Sagmeister, Manfred, Schweintzger, Nina, Secka, Fatou, Thakker, Clare, Van der Velden, Fabian, Vermont, Clementien, Vincek, Katarina, Agyeman, Philipp K.A., Cunnington, Aubrey J., De Groot, Ronald, Emonts, Marieke, Fidler, Katy, Kuijpers, Taco, Mommert-Tripon, Marine, Brengel-Pesce, Karen, Mallet, Francois, Moll, Henriette, Paulus, Stéphane, Pokorn, Marko, Pollard, Andrew, Schlapbach, Luregn J., Shen, Ching-Fen, Tsolia, Maria, Usuf, Effua, Van der Flier, Michiel, Von Both, Ulrich, Yeung, Shunmay, Zavadska, Dace, Zenz, Werner, Wright, Victoria, Carrol, Enitan D., Kaforou, Myrsini, Martinon-Torres, Federico, Fink, Colin, Levin, Michael, Herberg, Jethro, Baumard, Lucas, Bellos, Evangelos, Coin, Lachlan, D'Souza, Giselle, Habgood-Coote, Dominic, Hamilton, Shea, Hoggart, Cllive, Hourmat, Sara, Jackson, Heather, Lin, Naomi, Menikou, Stephanie, Nichols, Samuel, Paz, Ivonne Pena, Powell, Oliver, Vito, Ortensia, Wilson, Clare, Abdulla, Amina, Ali, Ladan, Darnell, Sarah, Jorgensen, Rikke, Maconochie, Ian, Mustafa, Sobia, Persand, Salina, Walsh, Ben, Stevens, Molly, Kim, Nayoung, Kim, Eunjung, Pierce, Benjamin, Dudley, Julia, Richmond, Vivien, Tavliavini, Emma, Liu, Ching-Chuan, Wang, Shih-Min, González, Fernando Álves, Farto, Cristina Balo, Barral-Arca, Ruth, Castro, María Barreiro, Bello, Xabier, Ben García, Mirian, Carnota, Sandra, Cebey-López, Miriam, Curras-Tuala, María José, Suárez, Carlos Durán, Vicente, Luisa García, Gómez-Carballa, Alberto, Rial, Jose Gómez, Iglesias, Pilar Leboráns, Martinón-Torres, Nazareth, Martinón Sánchez, José María, Pérez, Belén Mosquera, Pardo-Seco, Jacobo, Rodríguez, Lidia Piñeiro, Pischedda, Sara, Vázquez, Sara Ray, Rodríguez-Tenreiro, Carmen, Redondo-Collazo, Lorenzo, Ora, Miguel Sadiki, Sallas, Antonio, Fernández, Sonia Serén, Trasorras, Cristina Serén, Iglesias, Marisol Vilas, Balode, Anda, Bãrdzdina, Arta, Deksne, Dãrta, Gardovska, Dace, Grãvele, Dagne, Grope, Ilze, Meiere, Anija, Nokalna, Ieve, Pavãre, Jana, Pučuka, Zanda, Selecka, Katrīna, Svile, Dace, Urbãne, Urzula Nora, Bojang, Kalifa, Zaman, Syed M.A., Anderson, Suzanne, Roca, Anna, Sarr, Isatou, Saidykhan, Momodou, Darboe, Saffiatou, Ceesay, Samba, D'alessandro, Umberto, Borensztajn, Dorine M., Hagedoorn, Nienke N., Tal, Chantal, Zachariasse, Joany, Dik, W., Aebi, Christoph, Berger, Christoph, Wyss, Verena, Usman, Mariama, Giannoni, Eric, Stocker, Martin, Posfay-Barbe, Klara M., Heininger, Ulrich, Bernhard-Stirnemann, Sara, Niederer-Loher, Anita, Kahlert, Christian, Natalucci, Giancarlo, Relly, Christa, Riedel, Thomas, Cocklin, Elizabeth, Jennings, Rebecca, Johnson, Joanne, Leigh, Simon, Newall, Karen, Romaine, Sam, Tambouratzi, Maria, Marmarinos, Antonis, Xagorari, Marietta, Syggelou, Kelly, Spyridis, Nikos, Blackmore, Jennifer, Harrison, Rebekah, Kohlmaier, Benno, Kohlfürst, Daniela S., Zurl, Christoph, Binder, Alexander, Hösele, Susanne, Leitner, Manuel, Pölz, Lena, Rajic, Glorija, Bauchinger, Sebastian, Baumgart, Hinrich, Benesch, Martin, Ceolotto, Astrid, Eber, Ernst, Gallisti, Siegfried, Gores, Gunther, Haidl, Harald, Hauer, Almuthe, Hude, Christa, Keldorfer, Markus, Krenn, Larissa, Pilch, Heidemarie, Pfleger, Andreas, Pfurtscheller, Klaus, Nordberg, Gudrun, Niedrist, Tobias, Rödl, Siegfried, Skrabl-Baumgartner, Andrea, Sperl, Matthias, Stampfer, Laura, Strenger, Volker, Till, Holger, Trobisch, Andreas, Löffler, Sabine, Dewez, Juan Emmanuel, Hibberd, Martin, Bath, David, Miners, Alec, Fitchett, Elizabeth, Wedderburn, Catherine, Meierford, Anne, Leurent, Baptiste, De Jonge, Marien I., van Aerde, Koen, Alkema, Wynand, van den Broek, Bryan, Gloerich, Jolein, Van Gool, Alain J., Henriet, Stefanie, Huijnen, Martijn, Philipsen, Ria, Willems, Esther, Gerrits, G.P.J.M., Van Leur, M., Heidema, J., De Haan, L., Miedema, C.J., Neeleman, C., Obihara, C.C., Tramper-Stranders, G.A., Kandasamy, Rama, Carter, Michael J., O'Connor, Daniel, Bibi, Sagida, Kelly, Dominic F., Gurung, Meeru, Throson, Stephen, Ansari, Imran, Murdoch, David R., Shrestha, Shrijana, Oliver, Zoe, Lim, Emma, Valentine, Lucille, Allen, Karen, Bell, Kathryn, Chan, Adora, Crulley, Stephen, Devine, Kirsty, Fabian, Daniel, King, Sharon, McAlinden, Paul, McDonald, Sam, McDonell, Anne, Pickering, Alisa, Thomson, Evelyn, Wood, Amanda, Wallia, Diane, Woodsford, Phil, Baxter, Frances, Bell, Ashley, Rhodes, Mathew, Agbeko, Rachel, Mackerness, Christine, Baas, Bryan, Kloosterhuis, Lieke, Oosthoek, Wilma, Arif, Tasnim, Bennet, Joshua, Collings, Kalvin, Van der Giessen, Ilona, Martin, Alex, Rashid, Aqeela, Rowlands, Emily, Soon, Joshua, De Vries, Gabriella, van der Velden, Fabian, Martin, Mike, Mistry, Ravi, Zwerenz, Manuela, Buschbeck, Judith, Bidlingmaier, Christoph, Binder, Vera, Danhauser, Katharina, Haas, Nikolaus, Griese, Matthias, Kappler, Matthias, Lurz, Eberhard, Muench, Georg, Reiter, Karl, Schoen, Carola, Pachot, Alexandre, Mommert, Marine, Srovin, Tina Plankar, Bahovec, Natalija, Prunk, Petra, Osterman, Veronika, Avramoska, Tanja, Jongerius, Ilse, van den Berg, J.M., Schonenberg, D., Barendregt, A.M., Pajkrt, D., van der Kuip, M., van Furth, A.M., Sprenkeler, Evelien, Zandstra, Judith, van Mierlo, G., Geissler, J., Rivero-Calle, Irene, Sagmeister, Manfred G., Schweintzger, Nina A., Kuijpers, Taco W., van der Flier, Michiel, and von Both, Ulrich

Published
2023
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