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1,210 results on '"Marcu, A"'

7. EpiCURB: Learning to Derive Epidemic Control Policies

Author

Rusu, Andrei C., Farrahi, Katayoun, Niranjan, Mahesan, Farrahi, Katayoun, and Marcu, Gabriela

Abstract

The effectiveness of an epidemic control policy relies largely on how much effort is invested in every public health measure. Unfortunately, it is seldom possible to optimally allocate funds to these measures if the isolated effect of each intervention cannot be reliably estimated. We show how this challenge can be overcome by utilizing EpiCURB, a simulation-control framework that enables us to measure the effect of both untargeted and prioritized interventions on the epidemic outcome, where the latter are guided by reinforcement learning routines that effectively rank eligible individuals.

Published
2024
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8. Strain-specificity in the hydrogen sulphide signalling network following dietary restriction in recombinant inbred mice

Author

Wilkie, Stephen E., Mulvey, Lorna, Sands, William A., Marcu, Diana E., Carter, Roderick N., Morton, Nicholas M., Hine, Christopher, Mitchell, James R., and Selman, Colin

Abstract

Modulation of the ageing process by dietary restriction (DR) across multiple taxa is well established. While the exact mechanism through which DR acts remains elusive, the gasotransmitter hydrogen sulphide (H2S) may play an important role. We employed a comparative-type approach using females from three ILSXISS recombinant inbred mouse strains previously reported to show differential lifespan responses following 40% DR. Following long-term (10 months) 40% DR, strain TejJ89—reported to show lifespan extension under DR—exhibited elevated hepatic H2S production relative to its strain-specific ad libitum (AL) control. Strain TejJ48 (no reported lifespan effect following 40% DR) exhibited significantly reduced hepatic H2S production, while H2S production was unaffected by DR in strain TejJ114 (shortened lifespan reported following 40% DR). These differences in H2S production were reflected in highly divergent gene and protein expression profiles of the major H2S production and disposal enzymes across strains. Increased hepatic H2S production in TejJ89 mice was associated with elevation of the mitochondrial H2S-producing enzyme 3-mercaptopyruvate sulfurtransferase (MPST). Our findings further support the potential role of H2S in DR-induced longevity and indicate the presence of genotypic-specificity in the production and disposal of hepatic H2S in response to 40% DR in mice.

Published
2024
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9. Understanding LoRaWAN Transmissions in Harsh Environments: A Measurement-Based Campaign Through Unmanned Aerial/Surface Vehicles

Author

Dragulinescu, Ana-Maria, Zamfirescu, Ciprian, Halunga, Simona, Marcu, Ioana, Li, Frank Y., and Dobre, Octavia A.

Abstract

Along with the ubiquity of various Internet of Things (IoT) applications, data collection in harsh environments with the help of unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) appears as a popular approach. However, from a networking and transmission perspective, how unmanned vehicles collaborate with each other and with end IoT devices as well as the propagation characteristics for such data transmissions are less exploited. In this article, we develop a long-range wide-area network (LoRaWAN)-based data collection framework which enables UAV and/or USV-assisted data acquisition in harsh environments. Within this framework, end devices are placed in hard-to-reach locations and data acquisition is performed in an on-demand manner by unmanned vehicles acting as a gateway or peer for end devices (EDs). The framework also includes a step-by-step procedure for data collection and analytics, from parameter configuration to model validation. To reveal the transmission characteristics, we identify three scenarios in a mountainous region in Romania and perform extensive real-life measurements for data collection. Based on the collected datasets, we develop four propagation models and demonstrate that our empirical models outperform the theoretical reference models. Based on the developed empirical models, the coverage of LoRaWAN for any spreading factor (SF) can be estimated with high precision.

Published
2024
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10. Anatomy-Specific Classification Model Using Label-Free FLIm to Aid Intraoperative Surgical Guidance of Head and Neck Cancer

Author

Hassan, Mohamed Abul, Weyers, Brent W, Bec, Julien, Fereidouni, Farzad, Qi, Jinyi, Gui, Dorina, Bewley, Arnaud F., Abouyared, Marianne, Farwell, D. Gregory, Birkeland, Andrew C., and Marcu, Laura

Abstract

Intraoperative identification of head and neck cancer tissue is essential to achieve complete tumor resection and mitigate tumor recurrence. Mesoscopic fluorescence lifetime imaging (FLIm) of intrinsic tissue fluorophores emission has demonstrated the potential to demarcate the extent of the tumor in patients undergoing surgical procedures of the oral cavity and the oropharynx. Here, we report FLIm-based classification methods using standard machine learning models that account for the diverse anatomical and biochemical composition across the head and neck anatomy to improve tumor region identification. Three anatomy-specific binary classification models were developed (i.e., “base of tongue,” “palatine tonsil,” and “oral tongue”). FLIm data from patients (N = 85) undergoing upper aerodigestive oncologic surgery were used to train and validate the classification models using a leave-one-patient-out cross-validation method. These models were evaluated for two classification tasks: (1) to discriminate between healthy and cancer tissue, and (2) to apply the binary classification model trained on healthy and cancer to discriminate dysplasia through transfer learning. This approach achieved superior classification performance compared to models that are anatomy-agnostic; specifically, a ROC-AUC of 0.94 was for the first task and 0.92 for the second. Furthermore, the model demonstrated detection of dysplasia, highlighting the generalization of the FLIm-based classifier. Current findings demonstrate that a classifier that accounts for tumor location can improve the ability to accurately identify surgical margins and underscore FLIm's potential as a tool for surgical guidance in head and neck cancer patients, including those subjects of robotic surgery.

Published
2023
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11. CILIN SWEATER.

Author

MARCU, VERA

Subjects
SWEATERS
Abstract

Row 1 (RS) Work Row 1 of Chart A over first 50 sts, place marker (pm), work Row 1 of Chart B to end. Work Rows 2-6 of Ridge patt (see Stitch Guide), then rep Rows 1-6 of Ridge patt 10 times - piece measures approximately 6¼ " from CO. Next row (RS) Work Row 103 of Chart C to m, work Row 103 of Chart D to end. [Extracted from the article]

Published
2023

19. EXCELSO WRAP.

Author

MARCU, VERA

Subjects
ANCIENT art, YARN, KNITTING
Abstract

The Excelso Wrap is a beginner-friendly shawl in a luxury fi ber that is a joy to knit with. STITCH GUIDE I-Cord Bind-Off: *K2, k2tog tbl (last cord st and next st of shawl), sl 3 sts back to left needle; rep from * until only 3 cord sts rem. An undulating combination of yarnovers, increase s, decrease s, knits, and purls fi nds beautiful fl ow in a design that is easier to knit than it looks. [Extracted from the article]

Published
2023

23. Dissecting the role of Bi and Ba in the catalytic efficiency of VSbBiBa/Al2O3catalysts in oxidative dehydrogenation and oxidation of propaneElectronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3cy00207a

Author

Bouzeggane, A., Bargiela, P. P., Aouine, M., Checa, R., Popescu, I., Marcu, I. C., Peruch, O., Bellière-Baca, V., and Millet, J. M. M.

Abstract

The oxidative dehydrogenation of propane into propene could be a way to produce propylene as an alternative to steam cracking or fluid catalytic cracking, if efficient catalysts were discovered and developed. VSbBiBaO/Al2O3catalysts, which have been proposed for the reaction, have the advantage of being operational at a relatively low temperature allowing their further use in combination with propene oxidation catalysts to produce acrolein. This study reports a deep characterization of the catalysts by various techniques, before or after catalytic testing, in order to determine the respective roles of the constitutive elements as well as those of the dopant and the support. The results show that the active phase corresponds to a vanadium antimonate with a rutile-type structure with antimony partially substituted by bismuth. Bismuth increases the surface content of V5+which are the active sites for the first step of propane dehydrogenation and thus increases the intrinsic activity of the catalysts since this step is the rate limiting step. Barium added as a surface dopant was shown to decrease the catalyst's acidity which avoids total oxidation and creates basic sites both on the rutile-type phase and the support that contributes to the desorption of propene.

Published
2023
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24. Science diplomacy in medical physics – an international perspective

Author

Bezak, Eva, Borrás, Cari, Hasford, Francis, Karmaker, Nupur, Keyser, Angela, Stoeva, Magdalena, Trauernicht, Christoph, Yeong, Hong Chai, and Marcu, Loredana G.

Abstract

Purpose: Science diplomacy in medical physics is a relatively young research field and translational practice that focuses on establishing international collaborations to address some of the questions biomedical professionals face globally. This paper aims to present an overview of science diplomacy in medical physics, from an international perspective, illustrating the ways collaborations within and across continents can lead to scientific and professional achievements that advance scientific growth and improve patients care. Methods: Science diplomacy actions were sought that promote collaborations in medical physics across the continents, related to professional and scientific aspects alike. Results: Several science diplomacy actions have been identified to promote education and training, to facilitate research and development, to effectively communicate science to the public, to enable equitable access of patients to healthcare and to focus on gender equity within the profession as well as healthcare provision. Scientific and professional organizations in the field of medical physics across all continents have adopted a number of efforts in their aims, many of them with great success, to promote science diplomacy and to foster international collaborations. Conclusions: Professionals in medical physics can advance through international cooperation, by building strong communication across scientific communities, addressing rising demands, exchange scientific information and knowledge.

Published
2023
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25. The KMT2Arecombinome of acute leukemias in 2023

Author

Meyer, C., Larghero, P., Almeida Lopes, B., Burmeister, T., Gröger, D., Sutton, R., Venn, N. C., Cazzaniga, G., Corral Abascal, L., Tsaur, G., Fechina, L., Emerenciano, M., Pombo-de-Oliveira, M. S., Lund-Aho, T., Lundán, T., Montonen, M., Juvonen, V., Zuna, J., Trka, J., Ballerini, P., Lapillonne, H., Van der Velden, V. H. J., Sonneveld, E., Delabesse, E., de Matos, R. R. C., Silva, M. L. M., Bomken, S., Katsibardi, K., Keernik, M., Grardel, N., Mason, J., Price, R., Kim, J., Eckert, C., Lo Nigro, L., Bueno, C., Menendez, P., zur Stadt, U., Gameiro, P., Sedék, L., Szczepański, T., Bidet, A., Marcu, V., Shichrur, K., Izraeli, S., Madsen, H. O., Schäfer, B. W., Kubetzko, S., Kim, R., Clappier, E., Trautmann, H., Brüggemann, M., Archer, P., Hancock, J., Alten, J., Möricke, A., Stanulla, M., Lentes, J., Bergmann, A. K., Strehl, S., Köhrer, S., Nebral, K., Dworzak, M. N., Haas, O. A., Arfeuille, C., Caye-Eude, A., Cavé, H., and Marschalek, R.

Abstract

Chromosomal rearrangements of the human KMT2A/MLLgene are associated with de novoas well as therapy-induced infant, pediatric, and adult acute leukemias. Here, we present the data obtained from 3401 acute leukemia patients that have been analyzed between 2003 and 2022. Genomic breakpoints within the KMT2Agene and the involved translocation partner genes (TPGs) and KMT2A-partial tandem duplications (PTDs) were determined. Including the published data from the literature, a total of 107 in-frame KMT2Agene fusions have been identified so far. Further 16 rearrangements were out-of-frame fusions, 18 patients had no partner gene fused to 5’-KMT2A, two patients had a 5’-KMT2Adeletion, and one ETV6::RUNX1patient had an KMT2Ainsertion at the breakpoint. The seven most frequent TPGs and PTDs account for more than 90% of all recombinations of the KMT2A, 37 occur recurrently and 63 were identified so far only once. This study provides a comprehensive analysis of the KMT2Arecombinome in acute leukemia patients. Besides the scientific gain of information, genomic breakpoint sequences of these patients were used to monitor minimal residual disease (MRD). Thus, this work may be directly translated from the bench to the bedside of patients and meet the clinical needs to improve patient survival.

Published
2023
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34. Pervasive Healthcare: Privacy and Security in Data Annotation

Author

Tonkin, Emma L., Yordanova, Kristina, and Marcu, Gabriela

Abstract

Novel pervasive healthcare solutions often require extensive labeled data, both to train activity, behavior, and symptom detection systems, and to monitor the reliability of the system. The annotation process can be intrusive for participants and raise significant privacy and security issues. We discuss these challenges and identify mitigations.

Published
2022
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40. Roca.

Author

MARCU, Emilian

Published
2024

42. Abstractive headline generation using WIDL-expressions

Author

Soricut, R. and Marcu, D.

Subjects
Computational linguistics -- Analysis, Natural language interfaces -- Analysis, Language processing -- Analysis, Business, Computers and office automation industries
Abstract

We present a new paradigm for the automatic creation of document headlines that is based on direct transformation of relevant textual information into well-formed textual output. Starting from an input document, we automatically create compact representations of weighted finite sets of strings, called WIDL-expressions, which encode the most important topics in the document. A generic natural language generation engine performs the headline generation task, driven by both statistical knowledge encapsulated in WIDL-expressions (representing topic biases induced by the input document) and statistical knowledge encapsulated in language models (representing biases induced by the target language). Our evaluation shows similar performance in quality with a state-of-the-art, extractive approach to headline generation, and significant improvements in quality over previously proposed solutions to abstractive headline generation. Keywords: Natural language generation; Automatic summarization; WIDL-expressions

Published
2007

43. Clinical applications of cardiovascular magnetic resonance imaging

Author

Marcu, Constantin B., Beek, Aernout M., and van Rossum, Albert C.

Subjects
Magnetic resonance imaging -- Usage, Magnetic resonance imaging -- Analysis
Abstract

Abstract Cardiovascular magnetic resonance imaging (MRI) has evolved from an effective research tool into a clinically proven, safe and comprehensive imaging modality. It provides anatomic and functional information in acquired [...]

Published
2006

45. Shigella bacteremia: a retrospective study

Author

Greenberg, David, Marcu, Shai, Melamed, Rimma, and Lifshitz, Matityahu

Subjects
Diarrhea in children -- Care and treatment -- Research, Shigellosis -- Research -- Care and treatment, Health, Care and treatment, Research
Abstract

The aims of this study were to determine the risk factors in, and the clinical and laboratory characterizations of, Shigella bacteremia, as well as the subspecies of Shigella, and the antibiotic susceptibility. A retrospective study of all patients younger than 18 years of age with documented Shigella bacteremia from January 1989 through December 2001 was conducted. Fifteen children with Shigella bacteremia were treated at our center. The mean age (± SD) was 20.5 months (± 34.2), median 7 months. Thirteen (87%) patients failed to gain weight. The mean duration of diarrhea was 14.7 days. Patients were hospitalized for a mean (± SD) of 13.5 days (± 9.2). There were no fatalities in our study sample. The vast majority (86.7%) of the Shigella isolates were flexneri. Most isolates were susceptible to ceftriaxone, ciprofloxacine, and gentamicin but resistant to ampicillin and trimethoprim/sulfamethoxazole., Introduction Shigella spp. can cause a variety of clinical symptoms, mainly diarrhea. The disease is common in developing countries and mostly affects young children. (1) Complications other than gastrointestinal infections [...]

Published
2003

46. Women in Medical Physics and Biomedical Engineering: past, present and future

Author

Frize, Monique, Tsapaki, Virginia, Lhotska, Lenka, da Silva, Ana Maria Marques, Ibrahim, Fatimah, Bezak, Eva, Stoeva, Magdalena, Barabino, Gilda, Lim, Sierin, Kaldoudi, Eleni, Tan, Peck Ha, and Marcu, Loredana G.

Abstract

Women in Medical Physics and Biomedical Engineering (WiMPBME) is a Task Group established in 2014 under the International Union of Physical and Engineering Scientists in Medicine (IUPESM). The group’s main role is to identify, develop, implement, and coordinate various tasks and projects related to women’s needs and roles in medical physics and biomedical engineering around the world.

Published
2022
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47. Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis

Author

Maddali, Manoj V, Churpek, Matthew, Pham, Tai, Rezoagli, Emanuele, Zhuo, Hanjing, Zhao, Wendi, He, June, Delucchi, Kevin L, Wang, Chunxue, Wickersham, Nancy, McNeil, J Brennan, Jauregui, Alejandra, Ke, Serena, Vessel, Kathryn, Gomez, Antonio, Hendrickson, Carolyn M, Kangelaris, Kirsten N, Sarma, Aartik, Leligdowicz, Aleksandra, Liu, Kathleen D, Matthay, Michael A, Ware, Lorraine B, Laffey, John G, Bellani, Giacomo, Calfee, Carolyn S, Sinha, Pratik, Rios, Fernando, Van Haren, Frank, Sottiaux, T, Lora, Fredy S, Azevedo, Luciano C, Depuydt, P, Fan, Eddy, Bugedo, Guillermo, Qiu, Haibo, Gonzalez, Marcos, Silesky, Juan, Cerny, Vladimir, Nielsen, Jonas, Jibaja, Manuel, Pham, Tài, Wrigge, Hermann, Matamis, Dimitrios, Ranero, Jorge Luis, Hashemian, S. M, Amin, Pravin, Clarkson, Kevin, Bellani, Giacomo, Kurahashi, Kiyoyasu, Villagomez, Asisclo, Zeggwagh, Amine Ali, Heunks, Leo M, Laake, Jon Henrik, Palo, Jose Emmanuel, do Vale Fernandes, Antero, Sandesc, Dorel, Arabi, Yaasen, Bumbasierevic, Vesna, Nin, Nicolas, Lorente, Jose A, Larsson, Anders, Piquilloud, Lise, Abroug, Fekri, McAuley, Daniel F, McNamee, Lia, Hurtado, Javier, Bajwa, Ed, Démpaire, Gabriel, Francois, Guy M, Sula, Hektor, Nunci, Lordian, Cani, Alma, Zazu, Alan, Dellera, Christian, Insaurralde, Carolina S, Alejandro, Risso V, Daldin, Julio, Vinzio, Mauricio, Fernandez, Ruben O, Cardonnet, Luis P, Bettini, Lisandro R, Bisso, Mariano Carboni, Osman, Emilio M, Setten, Mariano G, Lovazzano, Pablo, Alvarez, Javier, Villar, Veronica, Milstein, Cesar, Pozo, Norberto C, Grubissich, Nicolas, Plotnikow, Gustavo A, Vasquez, Daniela N, Ilutovich, Santiago, Tiribelli, Norberto, Chena, Ariel, Pellegrini, Carlos A, Saenz, María G, Estenssoro, Elisa, Brizuela, Matias, Gianinetto, Hernan, Gomez, Pablo E, Cerrato, Valeria I, Bezzi, Marco G, Borello, Silvina A, Loiacono, Flavia A, Fernandez, Adriana M, Knowles, Serena, Reynolds, Claire, Inskip, Deborah M, Miller, Jennene J, Kong, Jing, Whitehead, Christina, Bihari, Shailesh, Seven, Aylin, Krstevski, Amanda, Rodgers, Helen J, Millar, Rebecca T, Mckenna, Toni E, Bailey, Irene M, Hanlon, Gabrielle C, Aneman, Anders, Lynch, Joan M, Azad, Raman, Neal, John, Woods, Paul W, Roberts, Brigit L, Kol, Mark R, Wong, Helen S, Riss, Katharina C, Staudinger, Thomas, Wittebole, Xavier, Berghe, Caroline, Bulpa, Pierre A, Dive, Alain M, Verstraete, Rik, Lebbinck, Herve, Depuydt, Pieter, Vermassen, Joris, Meersseman, Philippe, Ceunen, Helga, Rosa, Jonas I, Beraldo, Daniel O, Piras, Claudio, Ampinelli, Adenilton M R, Nassar Jr, Antonio P, Mataloun, Sergio, Moock, Marcelo, Thompson, Marlus M, Gonçalves, Claudio H, Antônio, Ana Carolina P, Ascoli, Aline, Biondi, Rodrigo S, Fontenele, Danielle C, Nobrega, Danielle, Sales, Vanessa M, Shindhe, Suresh, Ismail, Dk Maizatul Aiman B Pg Hj, Laffey, John, Beloncle, Francois, Davies, Kyle G, Cirone, Rob, Manoharan, Venika, Ismail, Mehvish, Goligher, Ewan C, Jassal, Mandeep, Nishikawa, Erin, Javeed, Areej, Curley, Gerard, Rittayamai, Nuttapol, Parotto, Matteo, Ferguson, Niall D, Mehta, Sangeeta, Knoll, Jenny, Pronovost, Antoine, Canestrini, Sergio, Bruhn, Alejandro R, Garcia, Patricio H, Aliaga, Felipe A, Farías, Pamela A, Yumha, Jacob S, Ortiz, Claudia A, Salas, Javier E, Saez, Alejandro A, Vega, Luis D, Labarca, Eduardo F, Martinez, Felipe T, Carreño, Nicolás G, Lora, Pilar, Liu, Haitao, Qiu, Haibo, Liu, Ling, Tang, Rui, Luo, Xiaoming, An, Youzhong, Zhao, Huiying, Gao, Yan, Zhai, Zhe, Ye, Zheng L, Wang, Wei, Li, Wenwen, Li, Qingdong, Zheng, Ruiqiang, Yu, Wenkui, Shen, Juanhong, Li, Xinyu, Yu, Tao, Lu, Weihua, Wu, Ya Q, Huang, Xiao B, He, Zhenyang, Lu, Yuanhua, Han, Hui, Zhang, Fan, Sun, Renhua, Wang, Hua X, Qin, Shu H, Zhu, Bao H, Zhao, Jun, Liu, Jian, Li, Bin, Liu, Jing L, Zhou, Fa C, Li, Qiong J, Zhang, Xing Y, Li-Xin, Zhou, Xin-Hua, Qiang, Jiang, Liangyan, Gao, Yuan N, Zhao, Xian Y, Li, Yuan Y, Li, Xiao L, Wang, Chunting, Yao, Qingchun, Yu, Rongguo, Chen, Kai, Shao, Huanzhang, Qin, Bingyu, Huang, Qing Q, Zhu, Wei H, Hang, Ai Y, Hua, Ma X, Li, Yimin, Xu, Yonghao, Di, Yu D, Ling, Long L, Qin, Tie H, Wang, Shou H, Qin, Junping, Han, Yi, Zhou, Suming, Vargas, Monica P, Silesky Jimenez, Juan I, González Rojas, Manuel A, Solis-Quesada, Jaime E, Ramirez-Alfaro, Christian M, Máca, Jan, Sklienka, Peter, Gjedsted, Jakob, Christiansen, Aage, Nielsen, Jonas, Villamagua, Boris G, Llano, Miguel, Burtin, Philippe, Buzancais, Gautier, Beuret, Pascal, Pelletier, Nicolas, Mortaza, Satar, Mercat, Alain, Chelly, Jonathan, Jochmans, Sébastien, Terzi, Nicolas, Daubin, Cédric, Carteaux, Guillaume, de Prost, Nicolas, Chiche, Jean-Daniel, Daviaud, Fabrice, Pham, Tai, Fartoukh, Muriel, Barberet, Guillaume, Biehler, Jerome, Dellamonica, Jean, Doyen, Denis, Arnal, Jean-Michel, Briquet, Anais, Hraiech, Sami, Papazian, Laurent, Follin, Arnaud, Roux, Damien, Messika, Jonathan, Kalaitzis, Evangelos, Dangers, Laurence, Combes, Alain, Au, Siu-Ming, Béduneau, Gaetan, Carpentier, Dorothée, Zogheib, Elie H, Dupont, Herve, Ricome, Sylvie, Santoli, Francesco L, Besset, Sebastien L, Michel, Philippe, Gelée, Bruno, Danin, Pierre-Eric, Goubaux, Bernard, Crova, Philippe J, Phan, Nga T, Berkelmans, Frantz, Badie, Julio C, Tapponnier, Romain, Gally, Josette, Khebbeb, Samy, Herbrecht, Jean-Etienne, Schneider, Francis, Declercq, Pierre-Louis M, Rigaud, Jean-Philippe, Duranteau, Jacques, Harrois, Anatole, Chabanne, Russell, Marin, Julien, Bigot, Charlene, Thibault, Sandrine, Ghazi, Mohammed, Boukhazna, Messabi, Ould Zein, Salem, Richecoeur, Jack R, Combaux, Daniele M, Grelon, Fabien, Le Moal, Charlene, Sauvadet, Elise P, Robine, Adrien, Lemiale, Virginie, Reuter, Danielle, Dres, Martin, Demoule, Alexandre, Goldgran-Toledano, Dany, Baboi, Loredana, Guérin, Claude, Lohner, Ralph, Kraßler, Jens, Schäfer, Susanne, Zacharowski, Kai D, Meybohm, Patrick, Reske, Andreas W, Simon, Philipp, Hopf, Hans-Bernd F, Schuetz, Michael, Baltus, Thomas, Papanikolaou, Metaxia N, Papavasilopoulou, Theonymfi G, Zacharas, Giannis A, Ourailogloy, Vasilis, Mouloudi, Eleni K, Massa, Eleni V, Nagy, Eva O, Stamou, Electra E, Kiourtzieva, Ellada V, Oikonomou, Marina A, Avila, Luis E, Cortez, Cesar A, Citalán, Johanna E, Jog, Sameer A, Sable, Safal D, Shah, Bhagyesh, Gurjar, Mohan, Baronia, Arvind K, Memon, Mohammedfaruk, Muthuchellappan, Radhakrishnan, Ramesh, Venkatapura J, Shenoy, Anitha, Unnikrishnan, Ramesh, Dixit, Subhal B, Rhayakar, Rachana V, Ramakrishnan, Nagarajan, Bhardwaj, Vallish K, Mahto, Heera L, Sagar, Sudha V, Palaniswamy, Vijayanand, Ganesan, Deeban, Mohammadreza Hashemian, Seyed, Jamaati, Hamidreza, Heidari, Farshad, Meaney, Edel A, Nichol, Alistair, Knapman, Karl M, O'Croinin, Donall, Dunne, Eimhin S, Breen, Dorothy M, Clarkson, Kevin P, Jaafar, Rola F, Dwyer, Rory, Amir, Fahd, Ajetunmobi, Olaitan O, O'Muircheartaigh, Aogan C, Black, Colin S, Treanor, Nuala, Collins, Daniel V, Altaf, Wahid, Zani, Gianluca, Fusari, Maurizio, Spadaro, Savino, Volta, Carlo A, Graziani, Romano, Brunettini, Barbara, Palmese, Salvatore, Formenti, Paolo, Umbrello, Michele, Lombardo, Andrea, Pecci, Elisabetta, Botteri, Marco, Savioli, Monica, Protti, Alessandro, Mattei, Alessia, Schiavoni, Lorenzo, Tinnirello, Andrea, Todeschini, Manuel, Giarratano, Antonino, Cortegiani, Andrea, Sher, Sara, Rossi, Anna, Antonelli, Massimo M, Montini, Luca M, Casalena, Paolo, Scafetti, Sergio, Panarello, Giovanna, Occhipinti, Giovanna, Patroniti, Nicolò, Pozzi, Matteo, Biscione, Roberto R, Poli, Michela M, Raimondi, Ferdinando, Albiero, Daniela, Crapelli, Giulia, Beck, Eduardo, Pota, Vincenzo, Schiavone, Vincenzo, Molin, Alexandre, Tarantino, Fabio, Monti, Giacomo, Frati, Elena, Mirabella, Lucia, Cinnella, Gilda, Fossali, Tommaso, Colombo, Riccardo, Terragni, Pierpaolo, Pattarino, Ilaria, Mojoli, Francesco, Braschi, Antonio, Borotto, Erika E, Cracchiolo, Andrea N, Palma, Daniela M, Raponi, Francesco, Foti, Giuseppe, Vascotto, Ettore R, Coppadoro, Andrea, Brazzi, Luca, Floris, Leda, Iotti, Giorgio A, Venti, Aaron, Yamaguchi, Osamu, Takagi, Shunsuke, Maeyama, Hiroki N, Watanabe, Eizo, Yamaji, Yoshihiro, Shimizu, Kazuyoshi, Shiozaki, Kyoko, Futami, Satoru, Ryosuke, Sekine, Saito, Koji, Kameyama, Yoshinobu, Ueno, Keiko, Izawa, Masayo, Okuda, Nao, Suzuki, Hiroyuki, Harasawa, Tomofumi, Nasu, Michitaka, Takada, Tadaaki, Ito, Fumihito, Nunomiya, Shin, Koyama, Kansuke, Abe, Toshikazu, Andoh, Kohkichi, Kusumoto, Kohei, Hirata, Akira, Takaba, Akihiro, Kimura, Hiroyasu, Matsumoto, Shuhei, Higashijima, Ushio, Honda, Hiroyuki, Aoki, Nobumasa, Imai, Hiroshi, Ogino, Yasuaki, Mizuguchi, Ichiko, Ichikado, Kazuya, Nitta, Kenichi, Mochizuki, Katsunori, Hashida, Tomoaki, Tanaka, Hiroyuki, Nakamura, Tomoyuki, Niimi, Daisuke, Ueda, Takeshi, Kashiwa, Yozo, Uchiyama, Akinori, Sabelnikovs, Olegs, Oss, Peteris, Haddad, Youssef, Liew, Kong Y, Ñamendys-Silva, Silvio A, Jarquin-Badiola, Yves D, Sanchez-Hurtado, Luis A, Gomez-Flores, Saira S, Marin, Maria C, Villagomez, Asisclo J, Lemus, Jordana S, Fierro, Jonathan M, Cervantes, Mavy Ramirez, Mejia, Francisco Javier Flores, Gonzalez, Daniel R, Dector, Dulce M, Estrella, Claudia R, Sanchez-Medina, Jorge R, Ramirez-Gutierrez, Alvaro, George, Fernando G, Aguirre, Janet S, Buensuseso, Juan A, Poblano, Manuel, Dendane, Tarek, Zeggwagh, Amine Ali, Balkhi, Hicham, Elkhayari, Mina, Samkaoui, Nacer, Ezzouine, Hanane, Benslama, Abdellatif, Amor, Mourad, Maazouzi, Wajdi, Cimic, Nedim, Beck, Oliver, Bruns, Monique M, Schouten, Jeroen A, Rinia, Myra, Raaijmakers, Monique, Heunks, Leo M, Van Wezel, Hellen M, Heines, Serge J, Buise, Marc P, Simonis, Fabienne D, Schultz, Marcus J, Goodson, Jennifer C, rowne, Troy S B, Navarra, Leanlove, Hunt, Anna, Hutchison, Robyn A, Bailey, Mathew B, Newby, Lynette, Mcarthur, Colin, Kalkoff, Michael, Mcleod, Alex, Casement, Jonathan, Hacking, Danielle J, Andersen, Finn H, Dolva, Merete S, Laake, Jon H, Barratt-Due, Andreas, Noremark, Kim Andre L, Søreide, Eldar, Sjøbø, Brit Å, Guttormsen, Anne B, Yoshido, Hector H Leon, Aguilar, Ronald Zumaran, Oscanoa, Fredy A Montes, Alisasis, Alain U, Robles, Joanne B, Pasanting-Lim, Rossini Abbie B, Tan, Beatriz C, Andruszkiewicz, Pawel, Jakubowska, Karina, Cox, Cristina M, Alvarez, António M, Oliveira, Bruno S, Montanha, Gustavo M, Barros, Nelson C, Pereira, Carlos S, Messias, António M, Monteiro, Jorge M, Araujo, Ana M, Catorze, Nuno T, Marum, Susan M, Bouw, Maria J, Gomes, Rui M, Brito, Vania A, Castro, Silvia, Estilita, Joana M, Barros, Filipa M, Serra, Isabel M, Martinho, Aurelia M, Tomescu, Dana R, Marcu, Alexandra, Bedreag, Ovidiu H, Papurica, Marius, Corneci, Dan E, Negoita, Silvius Ioan, Grigoriev, Evgeny, Gritsan, Alexey I, Gazenkampf, Andrey A, Almekhlafi, Ghaleb, Albarrak, Mohamad M, Mustafa, Ghanem M, Maghrabi, Khalid A, Salahuddin, Nawal, Aisa, Tharwat M, Al Jabbary, Ahmed S, Tabhan, Edgardo, Arabi, Yaseen M, Trinidad, Olivia A, Al Dorzi, Hasan M, Tabhan, Edgardo E, Bolon, Stefan, Smith, Oliver, Mancebo, Jordi, Aguirre-Bermeo, Hernan, Lopez-Delgado, Juan C, Esteve, Francisco, Rialp, Gemma, Forteza, Catalina, De Haro, Candelaria, Artigas, Antonio, Albaiceta, Guillermo M, De Cima-Iglesias, Sara, Seoane-Quiroga, Leticia, Ceniceros-Barros, Alexandra, Ruiz-Aguilar, Antonio L, Claraco-Vega, Luis M, Soler, Juan Alfonso, Lorente, Maria del Carmen, Hermosa, Cecilia, Gordo, Federico, Prieto-González, Miryam, López-Messa, Juan B, Perez, Manuel P, Pere, Cesar P, Allue, Raquel Montoiro, Roche-Campo, Ferran, Ibañez-Santacruz, Marcos, Temprano, Susana, Pintado, Maria C, De Pablo, Raul, Gómez, Pilar Ricart Aroa, Ruiz, Silvia Rodriguez, Moles, Silvia Iglesias, Jurado, Mª Teresa, Arizmendi, Alfons, Piacentini, Enrique A, Franco, Nieves, Honrubia, Teresa, Perez Cheng, Meisy, Perez Losada, Elena, Blanco, Javier, Yuste, Luis J, Carbayo-Gorriz, Cecilia, Cazorla-Barranquero, Francisca G, Alonso, Javier G, Alda, Rosa S, Algaba, Ángela, Navarro, Gonzalo, Cereijo, Enrique, Diaz-Rodriguez, Esther, Marcos, Diego Pastor, Montero, Laura Alvarez, Para, Luis Herrera, Sanchez, Roberto Jimenez, Blasco Navalpotro, Miguel Angel, Abad, Ricardo Diaz, Montiel González, Raquel, Toribio, Dácil Parrilla, Castro, Alejandro G, Artiga, Maria Jose D, Penuelas, Oscar, Roser, Tomas P, Olga, Moreno F, Curto, Elena Gallego, Sánchez, Rocío Manzano, Imma, Vallverdu P, Elisabet, Garcia M, Claverias, Laura, Magret, Monica, Pellicer, Ana M, Rodriguez, Lucia L, Sánchez-Ballesteros, Jesús, González-Salamanca, Ángela, Jimenez, Antonio G, Huerta, Francisco P, Diaz, Juan Carlos J Sotillo, Lopez, Esther Bermejo, Moya, David D Llinares, Alfonso, Alec A Tallet, Eugenio Luis, Palazon Sanchez, Cesar, Palazon Sanchez, Rafael, Sánchez I, Virgilio, Corcoles G, Recio, Noelia N, Adamsson, Richard O, Rylander, Christian C, Holzgraefe, Bernhard, Broman, Lars M, Wessbergh, Joanna, Persson, Linnea, Schiöler, Fredrik, Kedelv, Hans, Tibblin, Anna Oscarsson, Appelberg, Henrik, Hedlund, Lars, Helleberg, Johan, Eriksson, Karin E, Glietsch, Rita, Larsson, Niklas, Nygren, Ingela, Nunes, Silvia L, Morin, Anna-Karin, Kander, Thomas, Adolfsson, Anne, Piquilloud, Lise, Zender, Hervé O., Leemann-Refondini, Corinne, Elatrous, Souheil, Bouchoucha, Slaheddine, Chouchene, Imed, Ouanes, Islem, Ben Souissi, Asma, Kamoun, Salma, Demirkiran, Oktay, Aker, Mustafa, Erbabacan, Emre, Ceylan, Ilkay, Girgin, Nermin Kelebek, Ozcelik, Menekse, Ünal, Necmettin, Meco, Basak Ceyda, Akyol, Onat O, Derman, Suleyman S, Kennedy, Barry, Parhar, Ken, Srinivasa, Latha, McNamee, Lia, McAuley, Danny, Steinberg, Jack, Hopkins, Phil, Mellis, Clare, Stansil, Frank, Kakar, Vivek, Hadfield, Dan, Brown, Christine, Vercueil, Andre, Bhowmick, Kaushik, Humphreys, Sally K, Ferguson, Andrew, Mckee, Raymond, Raj, Ashok S, Fawkes, Danielle A, Watt, Philip, Twohey, Linda, Thomas, Rajeev R Jha Matthew, Morton, Alex, Kadaba, Varsha, Smith, Mark J, Hormis, Anil P, Kannan, Santhana G, Namih, Miriam, Reschreiter, Henrik, Camsooksai, Julie, Kumar, Alek, Rugonfalvi, Szabolcs, Nutt, Christopher, Oneill, Orla, Seasman, Colette, Dempsey, Ged, Scott, Christopher J, Ellis, Helen E, Mckechnie, Stuart, Hutton, Paula J, Di Tomasso, Nora N, Vitale, Michela N, Griffin, Ruth O, Dean, Michael N, Cranshaw, Julius H, Willett, Emma L, Ioannou, Nicholas, Gillis, Sarah, Csabi, Peter, Macfadyen, Rosaleen, Dawson, Heidi, Preez, Pieter D, Williams, Alexandra J, Boyd, Owen, De Gordoa, Laura Ortiz-Ruiz, Bramall, Jon, Symmonds, Sophie, Chau, Simon K, Wenham, Tim, Szakmany, Tamas, Toth-Tarsoly, Piroska, Mccalman, Katie H, Alexander, Peter, Stephenson, Lorraine, Collyer, Thomas, Chapman, Rhiannon, Cooper, Raphael, Allan, Russell M, Sim, Malcolm, Wrathall, David W, Irvine, Donald A, Zantua, Kim S, Adams, John C, Burtenshaw, Andrew J, Sellors, Gareth P, Welters, Ingeborg D, Williams, Karen E, Hessell, Robert J, Oldroyd, Matthew G, Battle, Ceri E, Pillai, Suresh, Kajtor, Istvan, Sivashanmugave, Mageswaran, Okane, Sinead C, Donnelly, Adrian, Frigyik, Aniko D, Careless, Jon P, May, Martin M, Stewart, Richard, Trinder, T John, Hagan, Samantha J, Wise, Matt P, Cole, Jade M, MacFie, Caroline C, Dowling, Anna T, Hurtado, Javier, Hurtado, Javier, Nuñez, Edgardo, Pittini, Gustavo, Rodriguez, Ruben, Imperio, María C, Santos, Cristina, França, Ana G., Ebeid, Alejandro, Deicas, Alberto, Serra, Carolina, Uppalapati, Aditya, Kamel, Ghassan, Banner-Goodspeed, Valerie M, Beitler, Jeremy R, Mukkera, Satyanarayana Reddy, Kulkarni, Shreedhar, Lee, Jarone, Mesar, Tomaz, Shinn Iii, John O, Gomaa, Dina, Tainter, Christopher, Mesar, Tomaz, Cowley, R Adams, Yeatts, Dale J, Warren, Jessica, Lanspa, Michael J, Miller, Russel R, Grissom, Colin K, Brown, Samuel M, Bauer, Philippe R, Gosselin, Ryan J, Kitch, Barrett T, Cohen, Jason E, Beegle, Scott H, Gueret, Renaud M, Tulaimat, Aiman, Choudry, Shazia, Stigler, William, Batra, Hitesh, Huff, Nidhi G, Lamb, Keith D, Oetting, Trevor W, Mohr, Nicholas M, Judy, Claine, Saito, Shigeki, Kheir, Fayez M, Schlichting, Adam B, Delsing, Angela, Elmasri, Mary, Crouch, Daniel R, Ismail, Dina, Blakeman, Thomas C, Dreyer, Kyle R, Gomaa, Dina, Baron, Rebecca M, Grijalba, Carolina Quintana, Hou, Peter C, Seethala, Raghu, Aisiku, Imo, Henderson, Galen, Frendl, Gyorgy, Hou, Sen-Kuang, Owens, Robert L, Schomer, Ashley, Bumbasirevic, Vesna, Jovanovic, Bojan, Surbatovic, Maja, and Veljovic, Milic

Abstract

Two acute respiratory distress syndrome (ARDS) subphenotypes (hyperinflammatory and hypoinflammatory) with distinct clinical and biological features and differential treatment responses have been identified using latent class analysis (LCA) in seven individual cohorts. To facilitate bedside identification of subphenotypes, clinical classifier models using readily available clinical variables have been described in four randomised controlled trials. We aimed to assess the performance of these models in observational cohorts of ARDS.

Published
2022
Full Text
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48. Training and using DISCIPLE agents: a case study in the military center of gravity analysis domain. (Articles)

Author

Tecuci, Gheorghe, Boicu, Mihai, Marcu, Dorin, Stanescu, Bogdan, Boicu, Cristina, and Comello, Jerome

Subjects
Artificial intelligence, Software development/engineering, Military strategy -- Study and teaching, Military strategy -- Research, Artificial intelligence -- Research, Biocomputers, Software engineering -- Research
Abstract

This article presents the results of a multi-objective collaboration between the Learning Agents Laboratory of George Mason University, on the one side, and the Center for Strategic Leadership and the […], * This article presents the results of a multifaceted research and development effort that synergistically integrates AI research with military strategy research and practical deployment of agents into education. It describes recent advances in the DISCIPLE approach to agent development by subject-matter experts with limited assistance from knowledge engineers, the innovative application of DISCIPLE to the development of agents for the strategic center of gravity analysis, and the deployment and evaluation of these agents in several courses at the U.S. Army War College.

Published
2002

49. Modulation of p53, ErbB1, ErbB2, and Raf-1 expression in lung cancer cells by depsipeptide FR901228

Author

Yu, Xiaodan, Guo, Z. Sheng, Marcu, Monica G., Neckers, Len, Nguyen, Dao M., Chen, G. Aaron, and Schrump, David S.

Subjects
Tumor suppressor genes -- Physiological aspects, Lung cancer, Non-small cell -- Genetic aspects, Cell death -- Physiological aspects, Health
Abstract

Background: Histone deacetylases (HDACs) modulate chromatin structure by regulating acetylation of core histone proteins. HDAC inhibitors, such as depsipeptide FR901228 (FK228), induce growth arrest and apoptosis in a variety of human cancer cells by mechanisms that cannot be attributed solely to histone acetylation. This study evaluated the mechanisms by which FK228 mediates apoptosis in non-small-cell lung cancer (NSCLC) cells. Methods: Proliferation and apoptosis were assessed in a panel of NSCLC cell lines that vary in the expression of the growth-regulating proteins p53, pRb, and K-Ras treated with a clinically relevant dose of FK228 (25 ng/mL). Western blot and immunoprecipitation techniques were used to analyze expression of cell-cycle proteins (cyclin A, cyclin E, p53, and p21), signaling-related proteins (ErbB1, ErbB2, and Raf-1), activity of extracellular signal-regulated kinase 1 and 2 (ERK1/2), binding of mutant p53 and Raf-1 to heat shock protein (Hsp)90, and acetylation of Hsp90. Results: FK228 treatment inhibited growth and induced apoptosis in NSCLC cells expressing wild-type or mutant p53. FK228 treatment led to altered expression of cyclin A, cyclin E, and p21, and to reduced expression of mutant, but not wild-type, p53. FK228-treated cells also were depleted of ErbB1, ErbB2, and Raf-1 proteins, and exhibited lower ERK1/2 activity. FK228 treatment also inhibited the binding of mutant p53 and Raf-1 to Hsp90; this inhibition was associated with acetylation of Hsp90. Conclusions: FK228 depletes the levels of several oncoproteins that are normally stabilized by binding to Hsp90 in cancer cells. The resulting ability of FK228 to diminish signal transduction via pathways involving Raf-1 and ERK may contribute to the potency and specificity of this novel antitumor agent. [J Natl Cancer Inst 2002;94:504-13]

Published
2002

50. In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries

Author

Dorison, Charles A., Lerner, Jennifer S., Heller, Blake H., Rothman, Alexander J., Kawachi, Ichiro I., Wang, Ke, Rees, Vaughan W., Gill, Brian P., Gibbs, Nancy, Ebersole, Charles R., Vally, Zahir, Tajchman, Zuzanna, Zsido, Andras N., Zrimsek, Mija, Chen, Zhang, Ziano, Ignazio, Gialitaki, Zoi, Ceary, Chris D., Lin, Yijun, Kunisato, Yoshihiko, Yamada, Yuki, Xiao, Qinyu, Jiang, Xiaoming, Du, Xinkai, Yao, Elvin, Wilson, John Paul, Cyrus-Lai, Wilson, Jimenez-Leal, William, Law, Wilbert, Collins, W. Matthew, Richard, Karley L., Vranka, Marek, Ankushev, Vladislav, Schei, Vidar, Križanić, Valerija, Kadreva, Veselina Hristova, Adoric, Vera Cubela, Tran, Ulrich S., Yeung, Siu Kit, Hassan, Widad, Houston, Ralph, Lima, Tiago J. S., Ostermann, Thomas, Frizzo, Thomas, Sverdrup, Therese E., House, Thea, Gill, Tripat, Fedotov, Maksim, Paltrow, Tamar, Jernsäther, Teodor, Koptjevskaja-Tamm, Maria, Hostler, Thomas J., Ishii, Tatsunori, Szaszi, Barnabas, Adamus, Sylwia, Suter, Lilian, Habib, Sumaiya, Studzinska, Anna, Stojanovska, Dragana, Janssen, Steve M. J., Stieger, Stefan, Schulenberg, Stefan E., Tatachari, Srinivasan, Azouaghe, Soufian, Sorokowski, Piotr, Sorokowska, Agnieszka, Song, Xin, Lewis, Savannah C., Sinkolova, Sladjana, Grigoryev, Dmitry, Drexler, Shira Meir, Daches, Shimrit, Geniole, Shawn N., Vračar, Selena, Massoni, Sébastien, Zorjan, Saša, Sarıoğuz, Eylül, Izquierdo, Sara Morales, Alves, Sara G., Pöntinen, Sara, Solas, Sara Álvarez, Ordoñez-Riaño, Santiago, Očovaj, Sanja Batić, Onie, Sandersan, Lins, Samuel, Çoksan, Sami, Sacakli, Asli, Ruiz-Fernández, Susana, Geiger, Sandra J., FatahModares, Saeideh, Walczak, Radoslaw B., Betlehem, Ruben, Vilar, Roosevelt, Cárcamo, Rodrigo, Ross, Robert M., McCarthy, Randy, Ballantyne, Tonia, Westgate, Erin C., Afhami, Reza, Ren, Dongning, Monteiro, Renan P., Reips, Ulf-Dietrich, Reggev, Niv, Calin-Jageman, Robert J., Pourafshari, Razieh, Oliveira, Raquel, Nedelcheva-Datsova, Mina, Rahal, Rima-Maria, Ribeiro, Rafael R., Radtke, Theda, Searston, Rachel, Habte, Redeate, Zdybek, Przemysław, Chen, Sau-Chin, Maturan, Princess Lovella G., Perillo, Jennifer T., Isager, Peder Mortvedt, Kačmár, Pavol, Macapagal, Paulo Manuel, Szwed, Paulina, Hanel, Paul H. P., Forbes, Paul A. G., Arriaga, Patrícia, Paris, Bastien, Papachristopoulos, Konstantinos, Correa, Pablo Sebastián, Kácha, Ondřej, Bernardo, Márcia, Campos, Olatz, Bravo, Olalla Niño, Galindo-Caballero, Oscar J., Ogbonnaya, Chisom Esther, Bialobrzeska, Olga, Kiselnikova, Natalia, Simonovic, Nicolle, Cohen, Noga, Nock, Nora L., Johannes, Niklas, Albayrak-Aydemir, Nihan, Say, Nicolas, Torunsky, Nathan, Van Doren, Natalia, Sunami, Naoyuki, Rachev, Nikolay R., Majeed, Nadyanna M., Schmidt, Nadya-Daniela, Nadif, Khaoula, Corral-Frías, Nadia S., Ouherrou, Nihal, Pantazi, Myrto, Lucas, Marc Y., Vasilev, Martin R., Ortiz, María Victoria, Butt, Muhammad Mussaffa, Kabir, Muhib, Muda, Rafał, Tejada Rivera, Maria del Carmen MC, Sirota, Miroslav, Seehuus, Martin, Parzuchowski, Michal, Toro, Mónica, Hricova, Monika, Maldonado, Mónica Alarcón, Marszalek, Magdalena, Karekla, Maria, Mioni, Giovanna, Bosma, Minke Jasmijn, Westerlund, Minja, Vdovic, Milica, Bialek, Michal, Silan, Miguel A., Anne, Michele, Misiak, Michal, Grinberg, Maurice, Capizzi, Mariagrazia, Espinoza Barría, Mauricio F., Kurfali, Merve A., Mensink, Michael C., Harutyunyan, Mikayel, Khosla, Meetu, Korbmacher, Max, Adamkovič, Matúš, Ribeiro, Matheus Fernando Felix, Terskova, Maria, Hruška, Matej, Martončik, Marcel, Voracek, Martin, Čadek, Martin, Frías-Armenta, Martha, Kowal, Marta, Topor, Marta, Roczniewska, Marta, Oosterlinck, Marlies, Kohlová, Markéta Braun, Paruzel-Czachura, Mariola, Romanova, Marina, Papadatou-Pastou, Marietta, Lund, Maria Louise, Antoniadi, Maria, Jones, Marc V., Ortiz, Manuel S., Manavalan, Mathi, Muminov, Abdumalik, Kossowska, Małgorzata, Friedemann, Maja, Wielgus, Magdalena, Varella, Marco A. C., Colloff, Melissa F., Bradford, Maria, Vaughn, Leigh Ann, Eudave, Luis, Vieira, Luc, Pineda, Lina Maria Sanabria, Pérez, Laura Calderón, Lazarevic, Ljiljana B., Jaremka, Lisa M., Kushnir, Elizaveta, Anton-Boicuk, Lisa, de Holanda Coelho, Gabriel Lins, Ahlgren, Lina, Levitan, Carmel A., Micheli, Leticia, Volz, Leonhard, Stojanovska, Marija, Boucher, Leanne, Samojlenko, Lara, Delgado, Lady Grey Javela, Kaliska, Lada, Warmelink, Lara, Rojas-Berscia, Luis Miguel, Yu, Karen, Wachowicz, Jakub, Desai, Kermeka, Barzykowski, Krystian, Kozma, Luca, Evans, Kortnee, Kirgizova, Komila, Agesin, Bamikole Emmanuel, Koehn, Monica A, Wolfe, Kelly, Korobova, Tatiana, Klevjer, Kristoffer, van Schie, Kevin, Vezirian, Kevin, Damnjanović, Kaja, Thommesen, Katrine Krabbe, Schmidt, Kathleen, Filip, Katarzyna, Grzech, Karolina, Hoyer, Karlijn, Moon, Karis, Rana, Kafeel, Janjić, Kristina, Suchow, Jordan W., Kielińska, Julita, Cruz Vásquez, Julio E, Beitner, Julia, Vargas-Nieto, Juan Camilo, Roxas, Jose Carlos T., Taber, Jennifer, Urriago-Rayo, Joan, Pavlacic, Jeffrey M., Bavolar, Jozef, Soto, José A., Olofsson, Jonas K., Vilsmeier, Johannes K., Messerschmidt, Johanna, Czamanski-Cohen, Johanna, Boudesseul, Jordane, Lee, Jeong Min, Kamburidis, Julia, Zickfeld, Janis, Miranda, Jacob F., Verharen, Jeroen P. H., Hristova, Evgeniya, Beshears, Julie E., Đorđević, Jasna Milošević, Bosch, Jasmijn, Valentova, Jaroslava Varella, Antfolk, Jan, Berkessel, Jana B., Schrötter, Jana, Urban, Jan, Röer, Jan Philipp, Norton, James O, Silva, Jaime R., Pickering, Jade S., Vintr, Jáchym, Uttley, Jim, Kunst, Jonas R., Ndukaihe, Izuchukwu L. G., Iyer, Aishwarya, Vilares, Iris, Ivanov, Aleksandr, Ropovik, Ivan, Sula, Isabela, Sarieva, Irena, Metin-Orta, Irem, Prusova, Irina, Pinto, Isabel, Bozdoc, Andreea Ioana, Almeida, Inês A. T., Pit, Ilse L., Dalgar, Ilker, Zakharov, Ilya, Arinze, Azuka Ikechukwu, Ihaya, Keiko, Stephen, Ian D., Gjoneska, Biljana, Brohmer, Hilmar, Flowe, Heather, Godbersen, Hendrik, Kocalar, Halil Emre, Hedgebeth, Mattie V., Chuan-Peng, Hu, Sharifian, MohammadHasan, Manley, Harry, Akkas, Handan, Hajdu, Nandor, Azab, Habiba, Kaminski, Gwenael, Nilsonne, Gustav, Anjum, Gulnaz, Travaglino, Giovanni A., Feldman, Gilad, Pfuhl, Gerit, Czarnek, Gabriela, Marcu, Gabriela Mariana, Hofer, Gabriela, Banik, Gabriel, Adetula, Gabriel Agboola, Bijlstra, Gijsbert, Verbruggen, Frederick, Kung, Franki Y. 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Abstract

The COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public. Given that subtle differences in information framing can have meaningful effects on behavior, behavioral science research highlights a pressing question: Is it more effective to frame COVID-19 health messages in terms of potential losses (e.g., “If you do not practice these steps, you can endanger yourself and others”) or potential gains (e.g., “If you practice these steps, you can protect yourself and others”)? Collecting data in 48 languages from 15,929 participants in 84 countries, we experimentally tested the effects of message framing on COVID-19-related judgments, intentions, and feelings. Loss- (vs. gain-) framed messages increased self-reported anxiety among participants cross-nationally with little-to-no impact on policy attitudes, behavioral intentions, or information seeking relevant to pandemic risks. These results were consistent across 84 countries, three variations of the message framing wording, and 560 data processing and analytic choices. Thus, results provide an empirical answer to a global communication question and highlight the emotional toll of loss-framed messages. Critically, this work demonstrates the importance of considering unintended affective consequences when evaluating nudge-style interventions.

Published
2022
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