6,659 results on '"A. Lamontagne"'
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2. Title Page, Copyright Page
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A. Lamontagne, Roger
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- 2001
3. Chapitre 2_La fiscalité des particuliers
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A. Lamontagne, Roger
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- 2001
4. Partie 1_Environnement fiscal, environnement successoral
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A. Lamontagne, Roger
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- 2001
5. Avant-propos
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A. Lamontagne, Roger
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- 2001
6. Table des matières
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A. Lamontagne, Roger
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- 2001
7. Chapitre 1_L'indépendance financière
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A. Lamontagne, Roger
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- 2001
8. Chapitre 4_Les assurances, les testaments et les rentes
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A. Lamontagne, Roger
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- 2001
9. Chapitre 3_Les abris fiscaux
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A. Lamontagne, Roger
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- 2001
10. Chapitre 8_Les titres de propriété
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A. Lamontagne, Roger
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- 2001
11. Chapitre 7_Les titres de créance
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A. Lamontagne, Roger
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- 2001
12. Chapitre 6_L'analyse financière
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A. Lamontagne, Roger
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- 2001
13. Chapitre 11_Le placement immobilier
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A. Lamontagne, Roger
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- 2001
14. Partie 2_Environnement financier
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A. Lamontagne, Roger
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- 2001
15. Chapitre 9_Les fonds mutuels
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A. Lamontagne, Roger
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- 2001
16. Index, Tables
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A. Lamontagne, Roger
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- 2001
17. Chapitre 5_Les mathématiques financières
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A. Lamontagne, Roger
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- 2001
18. Chapitre 10_Les catégories spéciales de titres
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A. Lamontagne, Roger
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- 2001
19. Partie 3_Produits financiers
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A. Lamontagne, Roger
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- 2001
20. Brain aging patterns in a large and diverse cohort of 49,482 individuals.
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Yang, Zhijian, Wen, Junhao, Erus, Guray, Govindarajan, Sindhuja, Melhem, Randa, Mamourian, Elizabeth, Cui, Yuhan, Srinivasan, Dhivya, Abdulkadir, Ahmed, Parmpi, Paraskevi, Wittfeld, Katharina, Grabe, Hans, Bülow, Robin, Frenzel, Stefan, Tosun, Duygu, Bilgel, Murat, An, Yang, Yi, Dahyun, Marcus, Daniel, LaMontagne, Pamela, Benzinger, Tammie, Heckbert, Susan, Austin, Thomas, Waldstein, Shari, Evans, Michele, Zonderman, Alan, Launer, Lenore, Sotiras, Aristeidis, Espeland, Mark, Masters, Colin, Maruff, Paul, Fripp, Jurgen, Toga, Arthur, OBryant, Sid, Chakravarty, Mallar, Villeneuve, Sylvia, Johnson, Sterling, Morris, John, Albert, Marilyn, Yaffe, Kristine, Völzke, Henry, Ferrucci, Luigi, Nick Bryan, R, Shinohara, Russell, Fan, Yong, Habes, Mohamad, Lalousis, Paris, Koutsouleris, Nikolaos, Wolk, David, Resnick, Susan, Shou, Haochang, Nasrallah, Ilya, and Davatzikos, Christos
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Humans ,Brain ,Aging ,Magnetic Resonance Imaging ,Male ,Female ,Aged ,Cohort Studies ,Middle Aged ,Atrophy ,Life Style ,Adult ,Aged ,80 and over - Abstract
Brain aging process is influenced by various lifestyle, environmental and genetic factors, as well as by age-related and often coexisting pathologies. Magnetic resonance imaging and artificial intelligence methods have been instrumental in understanding neuroanatomical changes that occur during aging. Large, diverse population studies enable identifying comprehensive and representative brain change patterns resulting from distinct but overlapping pathological and biological factors, revealing intersections and heterogeneity in affected brain regions and clinical phenotypes. Herein, we leverage a state-of-the-art deep-representation learning method, Surreal-GAN, and present methodological advances and extensive experimental results elucidating brain aging heterogeneity in a cohort of 49,482 individuals from 11 studies. Five dominant patterns of brain atrophy were identified and quantified for each individual by respective measures, R-indices. Their associations with biomedical, lifestyle and genetic factors provide insights into the etiology of observed variances, suggesting their potential as brain endophenotypes for genetic and lifestyle risks. Furthermore, baseline R-indices predict disease progression and mortality, capturing early changes as supplementary prognostic markers. These R-indices establish a dimensional approach to measuring aging trajectories and related brain changes. They hold promise for precise diagnostics, especially at preclinical stages, facilitating personalized patient management and targeted clinical trial recruitment based on specific brain endophenotypic expression and prognosis.
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- 2024
21. The Relationship Between Maturation Size and Maximum Tree Size From Tropical to Boreal Climates
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Journé, Valentin, Bogdziewicz, Michał, Courbaud, Benoit, Kunstler, Georges, Qiu, Tong, Acuña, Marie‐Claire Aravena, Ascoli, Davide, Bergeron, Yves, Berveiller, Daniel, Boivin, Thomas, Bonal, Raul, Caignard, Thomas, Cailleret, Maxime, Calama, Rafael, Camarero, J Julio, Chang‐Yang, Chia‐Hao, Chave, Jerome, Chianucci, Francesco, Curt, Thomas, Cutini, Andrea, Das, Adrian, Daskalakou, Evangelia, Davi, Hendrik, Delpierre, Nicolas, Delzon, Sylvain, Dietze, Michael, Calderon, Sergio Donoso, Dormont, Laurent, Espelta, Josep Maria, Farfan‐Rios, William, Fenner, Michael, Franklin, Jerry, Gehring, Catherine, Gilbert, Gregory, Gratzer, Georg, Greenberg, Cathryn H, Guignabert, Arthur, Guo, Qinfeng, Hacket‐Pain, Andrew, Hampe, Arndt, Han, Qingmin, Hanley, Mick E, Lambers, Janneke Hille Ris, Holík, Jan, Hoshizaki, Kazuhiko, Ibanez, Ines, Johnstone, Jill F, Knops, Johannes MH, Kobe, Richard K, Kurokawa, Hiroko, Lageard, Jonathan, LaMontagne, Jalene, Ledwon, Mateusz, Lefèvre, François, Leininger, Theodor, Limousin, Jean‐Marc, Lutz, James, Macias, Diana, Mårell, Anders, McIntire, Eliot, Moran, Emily V, Motta, Renzo, Myers, Jonathan, Nagel, Thomas A, Naoe, Shoji, Noguchi, Mahoko, Norghauer, Julian, Oguro, Michio, Ourcival, Jean‐Marc, Parmenter, Robert, Pearse, Ian, Pérez‐Ramos, Ignacio M, Piechnik, Łukasz, Podgórski, Tomasz, Poulsen, John, Redmond, Miranda D, Reid, Chantal D, Samonil, Pavel, Scher, C Lane, Schlesinger, William H, Seget, Barbara, Sharma, Shubhi, Shibata, Mitsue, Silman, Miles, Steele, Michael, Stephenson, Nathan, Straub, Jacob, Sutton, Samantha, Swenson, Jennifer J, Swift, Margaret, Thomas, Peter A, Uriarte, Maria, Vacchiano, Giorgio, Whipple, Amy, Whitham, Thomas, Wright, S Joseph, Zhu, Kai, Zimmerman, Jess, Żywiec, Magdalena, and Clark, James S
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Biological Sciences ,Ecology ,Trees ,Tropical Climate ,Climate Change ,Reproduction ,Forests ,allometry ,life history ,seed production ,size ,tree fecundity ,tree maturation ,Ecological Applications ,Evolutionary Biology ,Ecological applications ,Environmental management - Abstract
The fundamental trade-off between current and future reproduction has long been considered to result in a tendency for species that can grow large to begin reproduction at a larger size. Due to the prolonged time required to reach maturity, estimates of tree maturation size remain very rare and we lack a global view on the generality and the shape of this trade-off. Using seed production from five continents, we estimate tree maturation sizes for 486 tree species spanning tropical to boreal climates. Results show that a species' maturation size increases with maximum size, but in a non-proportional way: the largest species begin reproduction at smaller sizes than would be expected if maturation were simply proportional to maximum size. Furthermore, the decrease in relative maturation size is steepest in cold climates. These findings on maturation size drivers are key to accurately represent forests' responses to disturbance and climate change.
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- 2024
22. Global subterranean estuaries modify groundwater nutrient loading to the ocean
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Wilson, Stephanie J, Moody, Amy, McKenzie, Tristan, Cardenas, M Bayani, Luijendijk, Elco, Sawyer, Audrey H, Wilson, Alicia, Michael, Holly A, Xu, Bochao, Knee, Karen L, Cho, Hyung‐Mi, Weinstein, Yishai, Paytan, Adina, Moosdorf, Nils, Chen, Chen‐Tung Aurthur, Beck, Melanie, Lopez, Cody, Murgulet, Dorina, Kim, Guebuem, Charette, Mathew A, Waska, Hannelore, Ibánhez, J Severino P, Chaillou, Gwénaëlle, Oehler, Till, Onodera, Shin‐ichi, Saito, Mitsuyo, Rodellas, Valenti, Dimova, Natasha, Montiel, Daniel, Dulai, Henrietta, Richardson, Christina, Du, Jinzhou, Petermann, Eric, Chen, Xiaogang, Davis, Kay L, Lamontagne, Sebastien, Sugimoto, Ryo, Wang, Guizhi, Li, Hailong, Torres, Américo I, Demir, Cansu, Bristol, Emily, Connolly, Craig T, McClelland, James W, Silva, Brenno J, Tait, Douglas, Kumar, BSK, Viswanadham, R, Sarma, VVSS, Silva‐Filho, Emmanoel, Shiller, Alan, Lecher, Alanna, Tamborski, Joseph, Bokuniewicz, Henry, Rocha, Carlos, Reckhardt, Anja, Böttcher, Michael Ernst, Jiang, Shan, Stieglitz, Thomas, Gbewezoun, Houégnon Géraud Vinel, Charbonnier, Céline, Anschutz, Pierre, Hernández‐Terrones, Laura M, Babu, Suresh, Szymczycha, Beata, Sadat‐Noori, Mahmood, Niencheski, Felipe, Null, Kimberly, Tobias, Craig, Song, Bongkeun, Anderson, Iris C, and Santos, Isaac R
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Earth Sciences ,Oceanography - Abstract
Abstract: Terrestrial groundwater travels through subterranean estuaries before reaching the sea. Groundwater‐derived nutrients drive coastal water quality, primary production, and eutrophication. We determined how dissolved inorganic nitrogen (DIN), dissolved inorganic phosphorus (DIP), and dissolved organic nitrogen (DON) are transformed within subterranean estuaries and estimated submarine groundwater discharge (SGD) nutrient loads compiling > 10,000 groundwater samples from 216 sites worldwide. Nutrients exhibited complex, nonconservative behavior in subterranean estuaries. Fresh groundwater DIN and DIP are usually produced, and DON is consumed during transport. Median total SGD (saline and fresh) fluxes globally were 5.4, 2.6, and 0.18 Tmol yr−1 for DIN, DON, and DIP, respectively. Despite large natural variability, total SGD fluxes likely exceed global riverine nutrient export. Fresh SGD is a small source of new nutrients, but saline SGD is an important source of mostly recycled nutrients. Nutrients exported via SGD via subterranean estuaries are critical to coastal biogeochemistry and a significant nutrient source to the oceans.
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- 2024
23. NIRPS first light and early science: breaking the 1 m/s RV precision barrier at infrared wavelengths
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Artigau, Étienne, Bouchy, François, Doyon, René, Baron, Frédérique, Malo, Lison, Wildi, François, Pepe, Franceso, Cook, Neil J., Thibault, Simon, Reshetov, Vladimir, Dumusque, Xavier, Lovis, Christophe, Sosnowska, Danuta, Martins, Bruno L. Canto, De Medeiros, Jose Renan, Delfosse, Xavier, Santos, Nuno, Rebolo, Rafael, Abreu, Manuel, Allain, Guillaume, Allart, Romain, Auger, Hugues, Barros, Susana, Bazinet, Luc, Blind, Nicolas, Boisse, Isabelle, Bonfils, Xavier, Bourrier, Vincent, Bovay, Sébastien, Broeg, Christopher, Brousseau, Denis, Bruniquel, Vincent, Cabral, Alexandre, Cadieux, Charles, Carmona, Andres, Carteret, Yann, Challita, Zalpha, Chazelas, Bruno, Cloutier, Ryan, Coelho, João, Cointepas, Marion, Conod, Uriel, Cowan, Nicolas, Cristo, Eduardo, da Silva, João Gomes, Dauplaise, Laurie, Gomes, Roseane de Lima, Delgado-Mena, Elisa, Ehrenreich, David, Faria, João, Figueira, Pedro, Forveille, Thierry, Frensch, Yolanda, Gagné, Jonathan, Genest, Frédéric, Genolet, Ludovic, Hernández, Jonay I. González, Témich, Félix Gracia, Grieves, Nolan, Hernandez, Olivier, Hobson, Melissa J., Hoeijmakers, Jens, Kerley, Dan, Krishnamurthy, Vigneshwaran, Lafrenière, David, Lamontagne, Pierrot, Larue, Pierre, Leaf, Henry, Leão, Izan C., Lim, Olivia, Curto, Gaspare Lo, Martins, Allan M., Melo, Claudio, Messias, Yuri S., Mignon, Lucile, Moranta, Leslie, Mordasini, Christoph, Moulla, Khaled Al, Mounzer, Dany, L'Heureux, Alexandrine, Nari, Nicola, Nielsen, Louise, Osborn, Ares, Parc, Léna, Pasquini, Luca, Passegger, Vera M., Pelletier, Stefan, Peroux, Céline, Piaulet, Caroline, Plotnykov, Mykhaylo, Poulin-Girard, Anne-Sophie, Rasilla, José Luis, Saint-Antoine, Jonathan, Sarajlic, Mirsad, Segovia, Alex, Seidel, Julia, Ségransan, Damien, Silva, Ana Rita Costa, Srivastava, Avidaan, Stefanov, Atanas K., Mascareño, Alejandro Suárez, Sordet, Michael, Teixeira, Márcio A., Udry, Stéphane, Valencia, Diana, Vallée, Philippe, Vandal, Thomas, Vaulato, Valentina, Wade, Gregg, Wardenier, Joost P., Wehbé, Bachar, Weisserman, Drew, Wevers, Ivan, and Zins, Gérard
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Earth and Planetary Astrophysics - Abstract
The Near-InfraRed Planet Searcher or NIRPS is a precision radial velocity spectrograph developed through collaborative efforts among laboratories in Switzerland, Canada, Brazil, France, Portugal and Spain. NIRPS extends to the 0.98-1.8 $\mu$m domain of the pioneering HARPS instrument at the La Silla 3.6-m telescope in Chile and it has achieved unparalleled precision, measuring stellar radial velocities in the infrared with accuracy better than 1 m/s. NIRPS can be used either stand-alone or simultaneously with HARPS. Commissioned in late 2022 and early 2023, NIRPS embarked on a 5-year Guaranteed Time Observation (GTO) program in April 2023, spanning 720 observing nights. This program focuses on planetary systems around M dwarfs, encompassing both the immediate solar vicinity and transit follow-ups, alongside transit and emission spectroscopy observations. We highlight NIRPS's current performances and the insights gained during its deployment at the telescope. The lessons learned and successes achieved contribute to the ongoing advancement of precision radial velocity measurements and high spectral fidelity, further solidifying NIRPS' role in the forefront of the field of exoplanets., Comment: Proceeding at the SPIE Astronomical Telescopes + Instrumentation conference [Yokohama,Japan; June 2024]
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- 2024
24. The Round Complexity of Proofs in the Bounded Quantum Storage Model
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Grilo, Alex B. and Lamontagne, Philippe
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Quantum Physics ,Computer Science - Computational Complexity ,Computer Science - Cryptography and Security - Abstract
The round complexity of interactive proof systems is a key question of practical and theoretical relevance in complexity theory and cryptography. Moreover, results such as QIP = QIP(3) (STOC'00) show that quantum resources significantly help in such a task. In this work, we initiate the study of round compression of protocols in the bounded quantum storage model (BQSM). In this model, the malicious parties have a bounded quantum memory and they cannot store the all the qubits that are transmitted in the protocol. Our main results in this setting are the following: 1. There is a non-interactive (statistical) witness indistinguishable proof for any language in NP (and even QMA) in BQSM in the plain model. We notice that in this protocol, only the memory of the verifier is bounded. 2. Any classical proof system can be compressed in a two-message quantum proof system in BQSM. Moreover, if the original proof system is zero-knowledge, the quantum protocol is zero-knowledge too. In this result, we assume that the prover has bounded memory. Finally, we give evidence towards the "tightness" of our results. First, we show that NIZK in the plain model against BQS adversaries is unlikely with standard techniques. Second, we prove that without the BQS model there is no 2-message zero-knowledge quantum interactive proof, even under computational assumptions.
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- 2024
25. Analysis of exhaled volatile organic compounds: a new frontier in breast cancer screening and surveillance
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A. Allard-Coutu, K. Singh, Y. Gamache, A. Lamontagne, N. Hodgson, P. Lovrics, S. Reid, and B. Heller
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2021
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26. Integrated vector genomes may contribute to long-term expression in primate liver after AAV administration
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Greig, Jenny A., Martins, Kelly M., Breton, Camilo, Lamontagne, R. Jason, Zhu, Yanqing, He, Zhenning, White, John, Zhu, Jing-Xu, Chichester, Jessica A., Zheng, Qi, Zhang, Zhe, Bell, Peter, Wang, Lili, and Wilson, James M.
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- 2024
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27. Gentrification drives patterns of alpha and beta diversity in cities.
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Fidino, Mason, Sander, Heather, Lewis, Jesse, Lehrer, Elizabeth, Rivera, Kimberly, Murray, Maureen, Adams, Henry, Kase, Anna, Flores, Andrea, Stankowich, Theodore, Schell, Christopher, Salsbury, Carmen, Rohnke, Adam, Jordan, Mark, Green, Austin, R Gramza, Ashley, Zellmer, Amanda, Williamson, Jacque, Surasinghe, Thilina, Storm, Hunter, Sparks, Kimberly, Ryan, Travis, Remine, Katie, Pendergast, Mary, Mullen, Kayleigh, Minier, Darren, Middaugh, Christopher, Mertl, Amy, McClung, Maureen, Long, Robert, Larson, Rachel, Kohl, Michel, Harris, Lavendar, Hall, Courtney, Haight, Jeffrey, Drake, David, Davidge, Alyssa, Cheek, Ann, Bloch, Christopher, Biro, Elizabeth, Anthonysamy, Whitney, Angstmann, Julia, Allen, Maximilian, Adalsteinsson, Solny, Short Gianotti, Anne, LaMontagne, Jalene, Gelmi-Candusso, Tiziana, and Magle, Seth
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alpha diversity ,beta diversity ,camera trap ,gentrification ,mammals ,Animals ,Humans ,Cities ,Residential Segregation ,Biodiversity ,Mammals ,Animals ,Wild ,Ecosystem - Abstract
While there is increasing recognition that social processes in cities like gentrification have ecological consequences, we lack nuanced understanding of the ways gentrification affects urban biodiversity. We analyzed a large camera trap dataset of mammals (>500 g) to evaluate how gentrification impacts species richness and community composition across 23 US cities. After controlling for the negative effect of impervious cover, gentrified parts of cities had the highest mammal species richness. Change in community composition was associated with gentrification in a few cities, which were mostly located along the West Coast. At the species level, roughly half (11 of 21 mammals) had higher occupancy in gentrified parts of a city, especially when impervious cover was low. Our results indicate that the impacts of gentrification extend to nonhuman animals, which provides further evidence that some aspects of nature in cities, such as wildlife, are chronically inaccessible to marginalized human populations.
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- 2024
28. Occupational groups and risk of suicidal behavior in men: a Swedish national cohort study during 2002–2019
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Nyberg, Jenny, Wessman, Catrin, Söderberg, Mia, LaMontagne, Anthony D., Toren, Kjell, Waern, Margda, and Åberg, Maria
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- 2024
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29. Community versus academic hospital community-acquired pneumonia patients: a nested cohort study
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Tsang, Jennifer L.Y., Rego, Kian, Binnie, Alexandra, Lee, Terry, Mccarthy, Anne, Cowan, Juthaporn, Archambault, Patrick, Lellouche, Francois, Turgeon, Alexis F., Yoon, Jennifer, Lamontagne, Francois, Mcgeer, Allison, Douglas, Josh, Daley, Peter, Fowler, Robert, Maslove, David M., Winston, Brent W., Lee, Todd C., Tran, Karen C., Cheng, Matthew P., Vinh, Donald C., Boyd, John H., Walley, Keith R., Singer, Joel, Marshall, John C., Haljan, Gregory, Jain, Fagun, and Russell, James A.
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- 2024
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30. Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer’s disease continuum
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Wen, Junhao, Yang, Zhijian, Nasrallah, Ilya M., Cui, Yuhan, Erus, Guray, Srinivasan, Dhivya, Abdulkadir, Ahmed, Mamourian, Elizabeth, Hwang, Gyujoon, Singh, Ashish, Bergman, Mark, Bao, Jingxuan, Varol, Erdem, Zhou, Zhen, Boquet-Pujadas, Aleix, Chen, Jiong, Toga, Arthur W., Saykin, Andrew J., Hohman, Timothy J., Thompson, Paul M., Villeneuve, Sylvia, Gollub, Randy, Sotiras, Aristeidis, Wittfeld, Katharina, Grabe, Hans J., Tosun, Duygu, Bilgel, Murat, An, Yang, Marcus, Daniel S., LaMontagne, Pamela, Benzinger, Tammie L., Heckbert, Susan R., Austin, Thomas R., Launer, Lenore J., Espeland, Mark, Masters, Colin L., Maruff, Paul, Fripp, Jurgen, Johnson, Sterling C., Morris, John C., Albert, Marilyn S., Bryan, R. Nick, Resnick, Susan M., Ferrucci, Luigi, Fan, Yong, Habes, Mohamad, Wolk, David, Shen, Li, Shou, Haochang, and Davatzikos, Christos
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- 2024
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31. National implementation trial of BeUpstanding™: an online initiative for workers to sit less and move more
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Healy, Genevieve N., Goode, Ana D., Ulyate, Lisa, Abbott, Alison, Dunstan, David W., Eakin, Elizabeth G., Gilson, Nicholas D., Gunning, Lynn, Jetann, Jodie, LaMontagne, Anthony D., Moodie, Marj, Mulcahy, Samantha, Owen, Neville, Shilton, Trevor, Sweeny, Leanne, Straker, Leon, and Winkler, Elisabeth A. H.
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- 2024
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32. Correction: Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion
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Fernainy, Pamela, Cohen, Alan A., Murray, Eleanor, Losina, Elena, Lamontagne, Francois, and Sourial, Nadia
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- 2024
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33. Advanced HIV disease and associated factors among young people aged 15—24 years at a tertiary hospital in Sierra Leone: a cross-sectional study
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Baldeh, Mamadu, Kizito, Samuel, Lakoh, Sulaiman, Sesay, Daniel, Williams, Samuel Adeyemi, Barrie, Umu, Dennis, Frida, Robinson, Dimbintsoa Rakotomalala, Lamontagne, Franck, Amahowe, Franck, Turay, Patrick, Bahar, Ozge Sensoy, Geng, Elvin, and Ssewamala, Fred M.
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- 2024
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34. Exploring the challenges of avoiding collisions with virtual pedestrians using a dual-task paradigm in individuals with chronic moderate to severe traumatic brain injury
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de Aquino Costa Sousa, Thiago, Gagnon, Isabelle J., Li, Karen Z.H., McFadyen, Bradford J., and Lamontagne, Anouk
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- 2024
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35. Using a targeted metabolomics approach to explore differences in ARDS associated with COVID-19 compared to ARDS caused by H1N1 influenza and bacterial pneumonia
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Lee, Chel Hee, Banoei, Mohammad M., Ansari, Mariam, Cheng, Matthew P., Lamontagne, Francois, Griesdale, Donald, Lasry, David E., Demir, Koray, Dhingra, Vinay, Tran, Karen C., Lee, Terry, Burns, Kevin, Sweet, David, Marshall, John, Slutsky, Arthur, Murthy, Srinivas, Singer, Joel, Patrick, David M., Lee, Todd C., Boyd, John H., Walley, Keith R., Fowler, Robert, Haljan, Greg, Vinh, Donald C., Mcgeer, Alison, Maslove, David, Mann, Puneet, Donohoe, Kathryn, Hernandez, Geraldine, Rocheleau, Genevieve, Trahtemberg, Uriel, Kumar, Anand, Lou, Ma, dos Santos, Claudia, Baker, Andrew, Russell, James A., and Winston, Brent W.
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- 2024
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36. Knee biomechanics variability before and after total knee arthroplasty: an equality of variance prospective study
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Kowalski, Erik, Catelli, Danilo S., Dervin, Geoffrey, and Lamontagne, Mario
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- 2024
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37. Assessment and determinants of depression and anxiety on a global sample of sexual and gender diverse people at high risk of HIV: a public health approach
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Lamontagne, Erik, Leroy, Vincent, Yakusik, Anna, Parker, Warren, Howell, Sean, and Ventelou, Bruno
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- 2024
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38. On the prediction of tibiofemoral contact forces for healthy individuals and osteoarthritis patients during gait: a comparative study of regression methods
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Moura, Felipe Arruda, Pelegrinelli, Alexandre R. M., Catelli, Danilo S., Kowalski, Erik, Lamontagne, Mario, and da Silva Torres, Ricardo
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- 2024
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39. Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
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Yang, Zhijian, Wen, Junhao, Abdulkadir, Ahmed, Cui, Yuhan, Erus, Guray, Mamourian, Elizabeth, Melhem, Randa, Srinivasan, Dhivya, Govindarajan, Sindhuja T., Chen, Jiong, Habes, Mohamad, Masters, Colin L., Maruff, Paul, Fripp, Jurgen, Ferrucci, Luigi, Albert, Marilyn S., Johnson, Sterling C., Morris, John C., LaMontagne, Pamela, Marcus, Daniel S., Benzinger, Tammie L. S., Wolk, David A., Shen, Li, Bao, Jingxuan, Resnick, Susan M., Shou, Haochang, Nasrallah, Ilya M., and Davatzikos, Christos
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- 2024
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40. A representation-learning approach for insurance pricing with images
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Blier-Wong, Christopher, Lamontagne, Luc, and Marceau, Etienne
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Statistics - Applications - Abstract
Unstructured data are a promising new source of information that insurance companies may use to understand their risk portfolio better and improve the customer experience. However, these novel data sources are difficult to incorporate into existing ratemaking frameworks due to the size and format of the unstructured data. In this paper, we propose a framework to use street view imagery within a generalized linear model. To do so, we use representation learning to extract an embedding vector containing useful information from the image. This embedding is dense and low-dimensional, making it appropriate to use within existing ratemaking models. We find that there is useful information included in street view imagery to predict the frequency of claims for certain types of perils. This model can be used as-is in a ratemaking framework but also opens the door to future empirical research on attempting to extract the causal effect from images that lead to increased or decreased predicted claim frequencies. Throughout, we discuss the practical difficulties (technical and social) of using this type of data for insurance pricing.
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- 2023
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41. Accelerated Benders Decomposition and Local Branching for Dynamic Maximum Covering Location Problems
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Lamontagne, Steven, Carvalho, Margarida, and Atallah, Ribal
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Mathematics - Optimization and Control - Abstract
The maximum covering location problem (MCLP) is a key problem in facility location, with many applications and variants. One such variant is the dynamic (or multi-period) MCLP, which considers the installation of facilities across multiple time periods. To the best of our knowledge, no exact solution method has been proposed to tackle large-scale instances of this problem. To that end, in this work, we expand upon the current state-of-the-art branch-and-Benders-cut solution method in the static case, by exploring several acceleration techniques. Additionally, we propose a specialised local branching scheme, that uses a novel distance metric in its definition of subproblems and features a new method for efficient and exact solving of the subproblems. These methods are then compared through extensive computational experiments, highlighting the strengths of the proposed methodologies., Comment: V2: Minor corrections for references and invalid URL
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- 2023
42. An Update on Management of Adult Patients with Acute Respiratory Distress Syndrome: An Official American Thoracic Society Clinical Practice Guideline.
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Sahetya, Sarina, Munshi, Laveena, Summers, Charlotte, Abrams, Darryl, Beitler, Jeremy, Bellani, Giacomo, Brower, Roy, Burry, Lisa, Chen, Jen-Ting, Hodgson, Carol, Hough, Catherine, Lamontagne, Francois, Law, Anica, Papazian, Laurent, Pham, Tai, Rubin, Eileen, Siuba, Matthew, Telias, Irene, Patolia, Setu, Chaudhuri, Dipayan, Walkey, Allan, Rochwerg, Bram, Fan, Eddy, and Qadir, Nida
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acute respiratory distress syndrome ,corticosteroids ,extracorporeal membrane oxygenation ,neuromuscular blockade ,positive end-expiratory pressure ,Adult ,Humans ,Adrenal Cortex Hormones ,Lung ,Neuromuscular Blocking Agents ,Positive-Pressure Respiration ,Respiratory Distress Syndrome - Abstract
Background: This document updates previously published Clinical Practice Guidelines for the management of patients with acute respiratory distress syndrome (ARDS), incorporating new evidence addressing the use of corticosteroids, venovenous extracorporeal membrane oxygenation, neuromuscular blocking agents, and positive end-expiratory pressure (PEEP). Methods: We summarized evidence addressing four PICO questions (patient, intervention, comparison, and outcome). A multidisciplinary panel with expertise in ARDS used the Grading of Recommendations, Assessment, Development, and Evaluation framework to develop clinical recommendations. Results: We suggest the use of: 1) corticosteroids for patients with ARDS (conditional recommendation, moderate certainty of evidence), 2) venovenous extracorporeal membrane oxygenation in selected patients with severe ARDS (conditional recommendation, low certainty of evidence), 3) neuromuscular blockers in patients with early severe ARDS (conditional recommendation, low certainty of evidence), and 4) higher PEEP without lung recruitment maneuvers as opposed to lower PEEP in patients with moderate to severe ARDS (conditional recommendation, low to moderate certainty), and 5) we recommend against using prolonged lung recruitment maneuvers in patients with moderate to severe ARDS (strong recommendation, moderate certainty). Conclusions: We provide updated evidence-based recommendations for the management of ARDS. Individual patient and illness characteristics should be factored into clinical decision making and implementation of these recommendations while additional evidence is generated from much-needed clinical trials.
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- 2024
43. Simvastatin in Critically Ill Patients with Covid-19.
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Hills, Thomas, Lorenzi, Elizabeth, Berry, Lindsay, Shyamsundar, Murali, Al-Beidh, Farah, Annane, Djillali, Arabi, Yaseen, Aryal, Diptesh, Au, Carly, Beane, Abigail, Bhimani, Zahra, Bonten, Marc, Bradbury, Charlotte, Brunkhorst, Frank, Burrell, Aidan, Buxton, Meredith, Calfee, Carolyn, Cecconi, Maurizio, Cheng, Allen, Cove, Matthew, Detry, Michelle, Estcourt, Lise, Fitzgerald, Mark, Goligher, Ewan, Goossens, Herman, Green, Cameron, Haniffa, Rashan, Harrison, David, Hashmi, Madiha, Higgins, Alisa, Huang, David, Ichihara, Nao, Jayakumar, Deva, Kruger, Peter, Lamontagne, François, Lampro, Lamprini, Lawler, Patrick, Marshall, John, Mason, Alexina, McGlothlin, Anna, McGuinness, Shay, McQuilten, Zoe, McVerry, Bryan, Mouncey, Paul, Murthy, Srinivas, Neal, Matthew, Nichol, Alistair, OKane, Cecilia, Parke, Rachael, Parker, Jane, Rabindrarajan, Ebenezer, Reyes, Luis, Rowan, Kathryn, Saito, Hiroki, Santos, Marlene, Saunders, Christina, Seymour, Christopher, Shankar-Hari, Manu, Sinha, Pratik, Thompson, B, Turgeon, Alexis, Turner, Anne, van de Veerdonk, Frank, Weis, Sebastian, Young, Ian, Zarychanski, Ryan, McArthur, Colin, Angus, Derek, Berry, Scott, Derde, Lennie, Webb, Steve, Gordon, Anthony, McAuley, Daniel, and Lewis, Roger
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Humans ,Bayes Theorem ,COVID-19 ,COVID-19 Drug Treatment ,Critical Illness ,Hospital Mortality ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Simvastatin ,Treatment Outcome - Abstract
BACKGROUND: The efficacy of simvastatin in critically ill patients with coronavirus disease 2019 (Covid-19) is unclear. METHODS: In an ongoing international, multifactorial, adaptive platform, randomized, controlled trial, we evaluated simvastatin (80 mg daily) as compared with no statin (control) in critically ill patients with Covid-19 who were not receiving statins at baseline. The primary outcome was respiratory and cardiovascular organ support-free days, assessed on an ordinal scale combining in-hospital death (assigned a value of -1) and days free of organ support through day 21 in survivors; the analyis used a Bayesian hierarchical ordinal model. The adaptive design included prespecified statistical stopping criteria for superiority (>99% posterior probability that the odds ratio was >1) and futility (>95% posterior probability that the odds ratio was
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- 2023
44. Conductive electrospun polymer improves stem cell-derived cardiomyocyte function and maturation
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Gonzalez, Gisselle, Nelson, Aileena C, Holman, Alyssa R, Whitehead, Alexander J, LaMontagne, Erin, Lian, Rachel, Vatsyayan, Ritwik, Dayeh, Shadi A, and Engler, Adam J
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Engineering ,Biomedical Engineering ,Cardiovascular ,Regenerative Medicine ,Stem Cell Research ,Stem Cell Research - Induced Pluripotent Stem Cell ,Stem Cell Research - Embryonic - Human ,Stem Cell Research - Induced Pluripotent Stem Cell - Human ,Heart Disease ,5.2 Cellular and gene therapies ,Humans ,Myocytes ,Cardiac ,Polymers ,Pluripotent Stem Cells ,Cell Line ,Cell Differentiation ,Electric Conductivity ,sulfonate ,poly(vinyl) alcohol ,Desmoplakin ,Sarcomere organization ,Calcium handling ,FluoVolt ,poly(3 ,4-ethylenedioxythiophene):polystyrene ,poly(3 ,4-ethylenedioxythiophene):polystyrene sulfonate - Abstract
Despite numerous efforts to generate mature human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs), cells often remain immature, electrically isolated, and may not reflect adult biology. Conductive polymers are attractive candidates to facilitate electrical communication between hPSC-CMs, especially at sub-confluent cell densities or diseased cells lacking cell-cell junctions. Here we electrospun conductive polymers to create a conductive fiber mesh and assess if electrical signal propagation is improved in hPSC-CMs seeded on the mesh network. Matrix characterization indicated fiber structure remained stable over weeks in buffer, scaffold stiffness remained near in vivo cardiac stiffness, and electrical conductivity scaled with conductive polymer concentration. Cells remained adherent and viable on the scaffolds for at least 5 days. Transcriptomic profiling of hPSC-CMs cultured on conductive substrates for 3 days showed upregulation of cardiac and muscle-related genes versus non-conductive fibers. Structural proteins were more organized and calcium handling was improved on conductive substrates, even at sub-confluent cell densities; prolonged culture on conductive scaffolds improved membrane depolarization compared to non-conductive substrates. Taken together, these data suggest that blended, conductive scaffolds are stable, supportive of electrical coupling in hPSC-CMs, and promote maturation, which may improve our ability to model cardiac diseases and develop targeted therapies.
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- 2023
45. Fostering effective and sustainable scientific collaboration and knowledge exchange: a workshop-based approach to establish a national ecological observatory network (NEON) domain-specific user group
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Donnelly, Alison, Desai, Ankur R., Heckman, Katherine A., Nave, Lucas E., Cramer, Michael J., Faust, Marie, Weishampel, Peter, Slemmons, Caleb, Andresen, Christian G., Ayres, Edward, Cotey, Stacy R., Docherty, Kathryn M., Hatzis, Joshua, Hofmeister, Kathryn, LaMontagne, Jalene M., Lenters, John D., Lottig, Noah R., Marcarelli, Amy M., Miesel, Jessica, Riddle, Jason, Salmon-Tumas, Meghan, SanClements, Mike D., Sapkota, Subash, Schwartz, Mark D., Sharma, Puja, Shrestha, Ojaswee, Vincent, Geoffrey, Waupochick, Angela, Zheng, Ting, and Ye, Zhiwei
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- 2024
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46. The Near Infrared Imager and Slitless Spectrograph for the James Webb Space Telescope -- III. Single Object Slitless Spectroscopy
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Albert, Loic, Lafreniere, David, Doyon, Rene, Artigau, Etienne, Volk, Kevin, Goudfrooij, Paul, Martel, Andre R., Radica, Michael, Rowe, Jason, Espinoza, Nestor, Roy, Arpita, Filippazzo, Joseph C., Darveau-Bernier, Antoine, Talens, Geert Jan, Sivaramakrishnan, Anand, Willott, Chris J., Fullerton, Alexander W., LaMassa, Stephanie, Hutchings, John B., Rowlands, Neil, Vila, M. Begona, Zhou, Julia, Aldridge, David, Maszkiewicz, Michael, Beaulieu, Mathilde, Cook, Neil J., Piaulet, Caroline, Roy, Pierre-Alexis, Lamontagne, Pierrot, Morel, Kim, Frost, William, Salhi, Salma, Coulombe, Louis-Philippe, Benneke, Bjorn, MacDonald, Ryan J., Johnstone, Doug, Turner, Jake D., Fournier-Tondreau, Marylou, Allart, Romain, and Kaltenegger, Lisa
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Earth and Planetary Astrophysics ,Astrophysics - Solar and Stellar Astrophysics - Abstract
The Near Infrared Imager and Slitless Spectrograph instrument (NIRISS) is the Canadian Space Agency (CSA) contribution to the suite of four science instruments of JWST. As one of the three NIRISS observing modes, the Single Object Slitless Spectroscopy (SOSS) mode is tailor-made to undertake time-series observations of exoplanets to perform transit spectroscopy. The SOSS permits observing point sources between 0.6 and 2.8 um at a resolving power of 650 at 1.25 um using a slit-less cross-dispersing grism while its defocussing cylindrical lens enables observing targets as bright as J=6.7 by spreading light across 23 pixels along the cross-dispersion axis. This paper officially presents the design of the SOSS mode, its operation, characterization, and its performance, from ground-based testing and flight-based Commissioning. On-sky measurements demonstrate a peak photon conversion efficiency of 55% at 1.2 um. The first time-series on the A-type star BD+60o1753 achieves a flux stability close to the photon-noise limit, so far tested to a level of 20 parts per million on 40-minute time-scales after simply subtracting a long-term trend. Uncorrected 1/f noise residuals underneath the spectral traces add an extra source of noise equivalent to doubling the readout noise. Preliminary analysis of a HAT-P-14b transit time-series indicates that it is difficult to remove all the noise in pixels with partially saturated ramps. Overall, the SOSS delivers performance at the level required to tackle key exoplanet science programs such as detecting secondary atmospheres on terrestrial planets and measuring abundances of several chemical species in gas giants., Comment: 41 pages, 28 figures, accepted for publication in PASP
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- 2023
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47. The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
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Moawad, Ahmed W., Janas, Anastasia, Baid, Ujjwal, Ramakrishnan, Divya, Saluja, Rachit, Ashraf, Nader, Maleki, Nazanin, Jekel, Leon, Yordanov, Nikolay, Fehringer, Pascal, Gkampenis, Athanasios, Amiruddin, Raisa, Manteghinejad, Amirreza, Adewole, Maruf, Albrecht, Jake, Anazodo, Udunna, Aneja, Sanjay, Anwar, Syed Muhammad, Bergquist, Timothy, Chiang, Veronica, Chung, Verena, Conte, Gian Marco, Dako, Farouk, Eddy, James, Ezhov, Ivan, Khalili, Nastaran, Farahani, Keyvan, Iglesias, Juan Eugenio, Jiang, Zhifan, Johanson, Elaine, Kazerooni, Anahita Fathi, Kofler, Florian, Krantchev, Kiril, LaBella, Dominic, Van Leemput, Koen, Li, Hongwei Bran, Linguraru, Marius George, Liu, Xinyang, Meier, Zeke, Menze, Bjoern H, Moy, Harrison, Osenberg, Klara, Piraud, Marie, Reitman, Zachary, Shinohara, Russell Takeshi, Wang, Chunhao, Wiestler, Benedikt, Wiggins, Walter, Shafique, Umber, Willms, Klara, Avesta, Arman, Bousabarah, Khaled, Chakrabarty, Satrajit, Gennaro, Nicolo, Holler, Wolfgang, Kaur, Manpreet, LaMontagne, Pamela, Lin, MingDe, Lost, Jan, Marcus, Daniel S., Maresca, Ryan, Merkaj, Sarah, Pedersen, Gabriel Cassinelli, von Reppert, Marc, Sotiras, Aristeidis, Teytelboym, Oleg, Tillmans, Niklas, Westerhoff, Malte, Youssef, Ayda, Godfrey, Devon, Floyd, Scott, Rauschecker, Andreas, Villanueva-Meyer, Javier, Pfluger, Irada, Cho, Jaeyoung, Bendszus, Martin, Brugnara, Gianluca, Cramer, Justin, Perez-Carillo, Gloria J. Guzman, Johnson, Derek R., Kam, Anthony, Kwan, Benjamin Yin Ming, Lai, Lillian, Lall, Neil U., Memon, Fatima, Krycia, Mark, Patro, Satya Narayana, Petrovic, Bojan, So, Tiffany Y., Thompson, Gerard, Wu, Lei, Schrickel, E. Brooke, Bansal, Anu, Barkhof, Frederik, Besada, Cristina, Chu, Sammy, Druzgal, Jason, Dusoi, Alexandru, Farage, Luciano, Feltrin, Fabricio, Fong, Amy, Fung, Steve H., Gray, R. Ian, Ikuta, Ichiro, Iv, Michael, Postma, Alida A., Mahajan, Amit, Joyner, David, Krumpelman, Chase, Letourneau-Guillon, Laurent, Lincoln, Christie M., Maros, Mate E., Miller, Elka, Moron, Fanny, Nimchinsky, Esther A., Ozsarlak, Ozkan, Patel, Uresh, Rohatgi, Saurabh, Saha, Atin, Sayah, Anousheh, Schwartz, Eric D., Shih, Robert, Shiroishi, Mark S., Small, Juan E., Tanwar, Manoj, Valerie, Jewels, Weinberg, Brent D., White, Matthew L., Young, Robert, Zohrabian, Vahe M., Azizova, Aynur, Bruseler, Melanie Maria Theresa, Ghonim, Mohanad, Ghonim, Mohamed, Okar, Abdullah, Pasquini, Luca, Sharifi, Yasaman, Singh, Gagandeep, Sollmann, Nico, Soumala, Theodora, Taherzadeh, Mahsa, Vollmuth, Philipp, Foltyn-Dumitru, Martha, Malhotra, Ajay, Abayazeed, Aly H., Dellepiane, Francesco, Lohmann, Philipp, Perez-Garcia, Victor M., Elhalawani, Hesham, de Verdier, Maria Correia, Al-Rubaiey, Sanaria, Armindo, Rui Duarte, Ashraf, Kholod, Asla, Moamen M., Badawy, Mohamed, Bisschop, Jeroen, Lomer, Nima Broomand, Bukatz, Jan, Chen, Jim, Cimflova, Petra, Corr, Felix, Crawley, Alexis, Deptula, Lisa, Elakhdar, Tasneem, Shawali, Islam H., Faghani, Shahriar, Frick, Alexandra, Gulati, Vaibhav, Haider, Muhammad Ammar, Hierro, Fatima, Dahl, Rasmus Holmboe, Jacobs, Sarah Maria, Hsieh, Kuang-chun Jim, Kandemirli, Sedat G., Kersting, Katharina, Kida, Laura, Kollia, Sofia, Koukoulithras, Ioannis, Li, Xiao, Abouelatta, Ahmed, Mansour, Aya, Maria-Zamfirescu, Ruxandra-Catrinel, Marsiglia, Marcela, Mateo-Camacho, Yohana Sarahi, McArthur, Mark, McDonnell, Olivia, McHugh, Maire, Moassefi, Mana, Morsi, Samah Mostafa, Munteanu, Alexander, Nandolia, Khanak K., Naqvi, Syed Raza, Nikanpour, Yalda, Alnoury, Mostafa, Nouh, Abdullah Mohamed Aly, Pappafava, Francesca, Patel, Markand D., Petrucci, Samantha, Rawie, Eric, Raymond, Scott, Roohani, Borna, Sabouhi, Sadeq, Sanchez-Garcia, Laura M., Shaked, Zoe, Suthar, Pokhraj P., Altes, Talissa, Isufi, Edvin, Dhemesh, Yaseen, Gass, Jaime, Thacker, Jonathan, Tarabishy, Abdul Rahman, Turner, Benjamin, Vacca, Sebastiano, Vilanilam, George K., Warren, Daniel, Weiss, David, Worede, Fikadu, Yousry, Sara, Lerebo, Wondwossen, Aristizabal, Alejandro, Karargyris, Alexandros, Kassem, Hasan, Pati, Sarthak, Sheller, Micah, Link, Katherine E., Calabrese, Evan, Tahon, Nourel hoda, Nada, Ayman, Velichko, Yuri S., Bakas, Spyridon, Rudie, Jeffrey D., and Aboian, Mariam
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Quantitative Biology - Other Quantitative Biology ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space.The BraTS-METS 2023 challenge successfully curated well-annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied clinical environments and providing personalized volumetric reports to patients undergoing BM treatment.
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- 2023
48. The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
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Li, Hongwei Bran, Conte, Gian Marco, Hu, Qingqiao, Anwar, Syed Muhammad, Kofler, Florian, Ezhov, Ivan, van Leemput, Koen, Piraud, Marie, Diaz, Maria, Cole, Byrone, Calabrese, Evan, Rudie, Jeff, Meissen, Felix, Adewole, Maruf, Janas, Anastasia, Kazerooni, Anahita Fathi, LaBella, Dominic, Moawad, Ahmed W., Farahani, Keyvan, Eddy, James, Bergquist, Timothy, Chung, Verena, Shinohara, Russell Takeshi, Dako, Farouk, Wiggins, Walter, Reitman, Zachary, Wang, Chunhao, Liu, Xinyang, Jiang, Zhifan, Familiar, Ariana, Johanson, Elaine, Meier, Zeke, Davatzikos, Christos, Freymann, John, Kirby, Justin, Bilello, Michel, Fathallah-Shaykh, Hassan M., Wiest, Roland, Kirschke, Jan, Colen, Rivka R., Kotrotsou, Aikaterini, Lamontagne, Pamela, Marcus, Daniel, Milchenko, Mikhail, Nazeri, Arash, Weber, Marc André, Mahajan, Abhishek, Mohan, Suyash, Mongan, John, Hess, Christopher, Cha, Soonmee, Villanueva, Javier, Colak, Meyer Errol, Crivellaro, Priscila, Jakab, Andras, Albrecht, Jake, Anazodo, Udunna, Aboian, Mariam, Yu, Thomas, Baid, Ujjwal, Bakas, Spyridon, Linguraru, Marius George, Menze, Bjoern, Iglesias, Juan Eugenio, and Wiestler, Benedikt
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Automated brain tumor segmentation methods have become well-established and reached performance levels offering clear clinical utility. These methods typically rely on four input magnetic resonance imaging (MRI) modalities: T1-weighted images with and without contrast enhancement, T2-weighted images, and FLAIR images. However, some sequences are often missing in clinical practice due to time constraints or image artifacts, such as patient motion. Consequently, the ability to substitute missing modalities and gain segmentation performance is highly desirable and necessary for the broader adoption of these algorithms in the clinical routine. In this work, we present the establishment of the Brain MR Image Synthesis Benchmark (BraSyn) in conjunction with the Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2023. The primary objective of this challenge is to evaluate image synthesis methods that can realistically generate missing MRI modalities when multiple available images are provided. The ultimate aim is to facilitate automated brain tumor segmentation pipelines. The image dataset used in the benchmark is diverse and multi-modal, created through collaboration with various hospitals and research institutions., Comment: Technical report of BraSyn
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- 2023
49. The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
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Kofler, Florian, Meissen, Felix, Steinbauer, Felix, Graf, Robert, Ehrlich, Stefan K, Reinke, Annika, Oswald, Eva, Waldmannstetter, Diana, Hoelzl, Florian, Horvath, Izabela, Turgut, Oezguen, Shit, Suprosanna, Bukas, Christina, Yang, Kaiyuan, Paetzold, Johannes C., de da Rosa, Ezequiel, Mekki, Isra, Vinayahalingam, Shankeeth, Kassem, Hasan, Zhang, Juexin, Chen, Ke, Weng, Ying, Durrer, Alicia, Cattin, Philippe C., Wolleb, Julia, Sadique, M. S., Rahman, M. M., Farzana, W., Temtam, A., Iftekharuddin, K. M., Adewole, Maruf, Anwar, Syed Muhammad, Baid, Ujjwal, Janas, Anastasia, Kazerooni, Anahita Fathi, LaBella, Dominic, Li, Hongwei Bran, Moawad, Ahmed W, Conte, Gian-Marco, Farahani, Keyvan, Eddy, James, Sheller, Micah, Pati, Sarthak, Karagyris, Alexandros, Aristizabal, Alejandro, Bergquist, Timothy, Chung, Verena, Shinohara, Russell Takeshi, Dako, Farouk, Wiggins, Walter, Reitman, Zachary, Wang, Chunhao, Liu, Xinyang, Jiang, Zhifan, Johanson, Elaine, Meier, Zeke, Familiar, Ariana, Davatzikos, Christos, Freymann, John, Kirby, Justin, Bilello, Michel, Fathallah-Shaykh, Hassan M, Wiest, Roland, Kirschke, Jan, Colen, Rivka R, Kotrotsou, Aikaterini, Lamontagne, Pamela, Marcus, Daniel, Milchenko, Mikhail, Nazeri, Arash, Weber, Marc-André, Mahajan, Abhishek, Mohan, Suyash, Mongan, John, Hess, Christopher, Cha, Soonmee, Villanueva-Meyer, Javier, Colak, Errol, Crivellaro, Priscila, Jakab, Andras, Fatade, Abiodun, Omidiji, Olubukola, Lagos, Rachel Akinola, Olatunji, O O, Khanna, Goldey, Kirkpatrick, John, Alonso-Basanta, Michelle, Rashid, Arif, Bornhorst, Miriam, Nabavizadeh, Ali, Lepore, Natasha, Palmer, Joshua, Porras, Antonio, Albrecht, Jake, Anazodo, Udunna, Aboian, Mariam, Calabrese, Evan, Rudie, Jeffrey David, Linguraru, Marius George, Iglesias, Juan Eugenio, Van Leemput, Koen, Bakas, Spyridon, Wiestler, Benedikt, Ezhov, Ivan, Piraud, Marie, and Menze, Bjoern H
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition time series typically starts with an already pathological scan. This poses problems, as many algorithms are designed to analyze healthy brains and provide no guarantee for images featuring lesions. Examples include, but are not limited to, algorithms for brain anatomy parcellation, tissue segmentation, and brain extraction. To solve this dilemma, we introduce the BraTS inpainting challenge. Here, the participants explore inpainting techniques to synthesize healthy brain scans from lesioned ones. The following manuscript contains the task formulation, dataset, and submission procedure. Later, it will be updated to summarize the findings of the challenge. The challenge is organized as part of the ASNR-BraTS MICCAI challenge., Comment: 14 pages, 6 figures
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- 2023
50. Fifty years of research on psychosocial working conditions and health: From promise to practice
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Cécile RL Boot, Anthony D LaMontagne, and Ida EH Madsen
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policy ,mental health ,health ,intervention ,psychosocial work environment ,research ,cardiovascular health ,psychosocial working condition ,psychosocial hazard ,Public aspects of medicine ,RA1-1270 - Abstract
OBJECTIVE: This paper presents an overview of 50 years of research on psychosocial working conditions and health with regards to conceptualization, interventions and policy. We reflect on the promise of past and current research on psychosocial working conditions and, in addition, discuss current progress in translating this research into workplace practice and improvements in people’s working lives. METHODS: We conducted a narrative review of meta-reviews and key publications on psychosocial working conditions and health. The review covers a historical overview of theories of the past 50 years, measurement of psychosocial working conditions, health effects, intervention research, and policy development on psychosocial working conditions. RESULTS: Psychosocial working conditions are conceptualized in different ways, with increasing complexity in the understanding developing over time. Exposures related to psychosocial working conditions are associated with a wide range of health outcomes, in particular cardiovascular disease and mental health conditions. In response to growing evidence on associations between psychosocial working conditions and health outcomes, intervention research has expanded rapidly, but for various reasons the evidence base is stronger and more extensive for individual- than organizational-level interventions. This individual/organizational imbalance is reflected in practice, and may partly explain why policy interventions have yet to show reductions in exposures to psychosocial work factors and associated adverse outcomes. CONCLUSIONS: Pressing needs for advancing the field include improvements in capturing exposure dynamics, developing objective measures of exposure, methodologic advancements to optimize causal inference in etiologic studies, and alternatives to randomized controlled trials for intervention evaluation.
- Published
- 2024
- Full Text
- View/download PDF
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