1,460 results on '"P. Hamelin"'
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2. Teaching Divisibility and Binomials with Coq
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Boldo, Sylvie, Clément, François, Hamelin, David, Mayero, Micaela, and Rousselin, Pierre
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Computer Science - Logic in Computer Science - Abstract
The goal of this contribution is to provide worksheets in Coq for students to learn about divisibility and binomials. These basic topics are a good case study as they are widely taught in the early academic years (or before in France). We present here our technical and pedagogical choices and the numerous exercises we developed. As expected, it required additional Coq material such as other lemmas and dedicated tactics. The worksheets are freely available and flexible in several ways.
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- 2024
3. Introducing v0.5 of the AI Safety Benchmark from MLCommons
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Vidgen, Bertie, Agrawal, Adarsh, Ahmed, Ahmed M., Akinwande, Victor, Al-Nuaimi, Namir, Alfaraj, Najla, Alhajjar, Elie, Aroyo, Lora, Bavalatti, Trupti, Bartolo, Max, Blili-Hamelin, Borhane, Bollacker, Kurt, Bomassani, Rishi, Boston, Marisa Ferrara, Campos, Siméon, Chakra, Kal, Chen, Canyu, Coleman, Cody, Coudert, Zacharie Delpierre, Derczynski, Leon, Dutta, Debojyoti, Eisenberg, Ian, Ezick, James, Frase, Heather, Fuller, Brian, Gandikota, Ram, Gangavarapu, Agasthya, Gangavarapu, Ananya, Gealy, James, Ghosh, Rajat, Goel, James, Gohar, Usman, Goswami, Sujata, Hale, Scott A., Hutiri, Wiebke, Imperial, Joseph Marvin, Jandial, Surgan, Judd, Nick, Juefei-Xu, Felix, Khomh, Foutse, Kailkhura, Bhavya, Kirk, Hannah Rose, Klyman, Kevin, Knotz, Chris, Kuchnik, Michael, Kumar, Shachi H., Kumar, Srijan, Lengerich, Chris, Li, Bo, Liao, Zeyi, Long, Eileen Peters, Lu, Victor, Luger, Sarah, Mai, Yifan, Mammen, Priyanka Mary, Manyeki, Kelvin, McGregor, Sean, Mehta, Virendra, Mohammed, Shafee, Moss, Emanuel, Nachman, Lama, Naganna, Dinesh Jinenhally, Nikanjam, Amin, Nushi, Besmira, Oala, Luis, Orr, Iftach, Parrish, Alicia, Patlak, Cigdem, Pietri, William, Poursabzi-Sangdeh, Forough, Presani, Eleonora, Puletti, Fabrizio, Röttger, Paul, Sahay, Saurav, Santos, Tim, Scherrer, Nino, Sebag, Alice Schoenauer, Schramowski, Patrick, Shahbazi, Abolfazl, Sharma, Vin, Shen, Xudong, Sistla, Vamsi, Tang, Leonard, Testuggine, Davide, Thangarasa, Vithursan, Watkins, Elizabeth Anne, Weiss, Rebecca, Welty, Chris, Wilbers, Tyler, Williams, Adina, Wu, Carole-Jean, Yadav, Poonam, Yang, Xianjun, Zeng, Yi, Zhang, Wenhui, Zhdanov, Fedor, Zhu, Jiacheng, Liang, Percy, Mattson, Peter, and Vanschoren, Joaquin
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safety risks of AI systems that use chat-tuned language models. We introduce a principled approach to specifying and constructing the benchmark, which for v0.5 covers only a single use case (an adult chatting to a general-purpose assistant in English), and a limited set of personas (i.e., typical users, malicious users, and vulnerable users). We created a new taxonomy of 13 hazard categories, of which 7 have tests in the v0.5 benchmark. We plan to release version 1.0 of the AI Safety Benchmark by the end of 2024. The v1.0 benchmark will provide meaningful insights into the safety of AI systems. However, the v0.5 benchmark should not be used to assess the safety of AI systems. We have sought to fully document the limitations, flaws, and challenges of v0.5. This release of v0.5 of the AI Safety Benchmark includes (1) a principled approach to specifying and constructing the benchmark, which comprises use cases, types of systems under test (SUTs), language and context, personas, tests, and test items; (2) a taxonomy of 13 hazard categories with definitions and subcategories; (3) tests for seven of the hazard categories, each comprising a unique set of test items, i.e., prompts. There are 43,090 test items in total, which we created with templates; (4) a grading system for AI systems against the benchmark; (5) an openly available platform, and downloadable tool, called ModelBench that can be used to evaluate the safety of AI systems on the benchmark; (6) an example evaluation report which benchmarks the performance of over a dozen openly available chat-tuned language models; (7) a test specification for the benchmark.
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- 2024
4. Multi-purpose InSTRument for Astronomy at Low-resolution: MISTRAL@OHP
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Schmitt, J., Adami, C., Dennefeld, M., Agneray, F., Basa, S., Brunel, J. C., Buat, V., Burgarella, D., Carvalho, C., Castagnoli, G., Grosso, N., Huppert, F., Moreau, C., Moreau, F., Moreau, L., Muslimov, E., Pascal, S., Perruchot, S., Russeil, D., Beuzit, J. L., Dolon, F., Ferrari, M., Hamelin, B., LevanSuu, A., Aravind, K., Gotz, D., Jehin, E., LeFloc'h, E., Palmerio, J., Saccardi, A., Schneider, B., Schüssler, F., Turpin, D., and Vergani, S. D.
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
MISTRAL is the new Faint Object Spectroscopic Camera mounted at the folded Cassegrain focus of the 1.93m telescope of Haute-Provence Observatory. We describe the design and components of the instrument and give some details about its operation. We emphasise in particular the various observing modes and the performances of the detector. A short description is also given about the working environment. Various types of objects, including stars, nebulae, comets, novae, galaxies have been observed during various test phases to evaluate the performances of the instrument. The instrument covers the range of 4000 to 8000A with the blue setting, or from 6000 to 10000A with the red setting, at an average spectral resolution of 700. Its peak efficiency is about 22% at 6000A. In spectroscopy, a limiting magnitude of 19.5 can be achieved for a point source in one hour with a signal to noise of 3 in the continuum (and better if emission lines are present). In imaging mode, limiting magnitudes of 20-21 can be obtained in 10-20mn (with average seing conditions of 2.5 arcsec at OHP). The instrument is very users-friendly and can be put into operations in less than 15mn (rapid change-over from the other instrument in use) if required by the science (like for Gamma-Rays Bursts). Some first scientific results are described for various types of objects, and in particular for the follow-up of GRBs. While some further improvements are still under way, in particular to ease the switch from blue to red setting and add more grisms or filters, MISTRAL is ready for the follow-up of transients and other variable objects, in the soon-to-come era of e.g. the SVOM satellite and of the Rubin telescope., Comment: Accepted in A&A
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- 2024
5. Unveiling the power of video sentiment analysis for predicting advertising effectiveness: exploratory research on femvertising
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Hamelin, Nicolas, Rahimi, Ramy A., Balaji, Sivapriya, Pismennaya, Irina, Bui, Nhat Quang, and Ta, Hong Anh
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- 2024
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6. Safety and accuracy of the computer interpretation of normal ECGs at triage
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Langlois-Carbonneau, Valérie, Dufresne, François, Labbé, Ève, Hamelin, Katia, Berbiche, Djamal, and Gosselin, Sophie
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- 2024
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7. Reporting of somatic variants in clinical cancer care: recommendations of the Swiss Society of Molecular Pathology
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Christinat, Yann, Hamelin, Baptiste, Alborelli, Ilaria, Angelino, Paolo, Barbié, Valérie, Bisig, Bettina, Dawson, Heather, Frattini, Milo, Grob, Tobias, Jochum, Wolfram, Nienhold, Ronny, McKee, Thomas, Matter, Matthias, Missiaglia, Edoardo, Molinari, Francesca, Rothschild, Sacha, Sobottka-Brillout, Anna Bettina, Vassella, Erik, Zoche, Martin, and Mertz, Kirsten D.
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- 2024
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8. A Safe Harbor for AI Evaluation and Red Teaming
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Longpre, Shayne, Kapoor, Sayash, Klyman, Kevin, Ramaswami, Ashwin, Bommasani, Rishi, Blili-Hamelin, Borhane, Huang, Yangsibo, Skowron, Aviya, Yong, Zheng-Xin, Kotha, Suhas, Zeng, Yi, Shi, Weiyan, Yang, Xianjun, Southen, Reid, Robey, Alexander, Chao, Patrick, Yang, Diyi, Jia, Ruoxi, Kang, Daniel, Pentland, Sandy, Narayanan, Arvind, Liang, Percy, and Henderson, Peter
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Computer Science - Artificial Intelligence - Abstract
Independent evaluation and red teaming are critical for identifying the risks posed by generative AI systems. However, the terms of service and enforcement strategies used by prominent AI companies to deter model misuse have disincentives on good faith safety evaluations. This causes some researchers to fear that conducting such research or releasing their findings will result in account suspensions or legal reprisal. Although some companies offer researcher access programs, they are an inadequate substitute for independent research access, as they have limited community representation, receive inadequate funding, and lack independence from corporate incentives. We propose that major AI developers commit to providing a legal and technical safe harbor, indemnifying public interest safety research and protecting it from the threat of account suspensions or legal reprisal. These proposals emerged from our collective experience conducting safety, privacy, and trustworthiness research on generative AI systems, where norms and incentives could be better aligned with public interests, without exacerbating model misuse. We believe these commitments are a necessary step towards more inclusive and unimpeded community efforts to tackle the risks of generative AI.
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- 2024
9. FLAGRED -- Fuzzy Logic-based Algorithm Generalizing Risk Estimation for Drones
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Hovington, Samuel, Petit, Louis, Stratford, Sophie, Hamelin, Philippe, Lussier-Desbiens, Alexis, and Ferland, Francois
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Computer Science - Robotics - Abstract
Accurately estimating risk in real-time is essential for ensuring the safety and efficiency of many applications involving autonomous robot systems. This paper presents a novel, generalizable algorithm for the real-time estimation of risks created by external disturbances on multirotors. Unlike conventional approaches, our method requires no additional sensors, accurate drone models, or large datasets. It employs motor command data in a fuzzy logic system, overcoming barriers to real-world implementation. Inherently adaptable, it utilizes fundamental drone characteristics, making it applicable to diverse drone models. The efficiency of the algorithm has been confirmed through comprehensive real-world testing on various platforms. It proficiently discerned between high and low-risk scenarios resulting from diverse wind disturbances and varying thrust-to-weight ratios. The algorithm surpassed the widely-recognized ArduCopter wind estimation algorithm in performance and demonstrated its capability to promptly detect brief gusts., Comment: 7 pages, 9 figures
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- 2024
10. Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework
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Dotan, Ravit, Blili-Hamelin, Borhane, Madhavan, Ravi, Matthews, Jeanna, and Scarpino, Joshua
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Computer Science - Computers and Society - Abstract
Researchers, government bodies, and organizations have been repeatedly calling for a shift in the responsible AI community from general principles to tangible and operationalizable practices in mitigating the potential sociotechnical harms of AI. Frameworks like the NIST AI RMF embody an emerging consensus on recommended practices in operationalizing sociotechnical harm mitigation. However, private sector organizations currently lag far behind this emerging consensus. Implementation is sporadic and selective at best. At worst, it is ineffective and can risk serving as a misleading veneer of trustworthy processes, providing an appearance of legitimacy to substantively harmful practices. In this paper, we provide a foundation for a framework for evaluating where organizations sit relative to the emerging consensus on sociotechnical harm mitigation best practices: a flexible maturity model based on the NIST AI RMF.
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- 2024
11. A Framework for Assurance Audits of Algorithmic Systems
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Lam, Khoa, Lange, Benjamin, Blili-Hamelin, Borhane, Davidovic, Jovana, Brown, Shea, and Hasan, Ali
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Computer Science - Computers and Society - Abstract
An increasing number of regulations propose AI audits as a mechanism for achieving transparency and accountability for artificial intelligence (AI) systems. Despite some converging norms around various forms of AI auditing, auditing for the purpose of compliance and assurance currently lacks agreed-upon practices, procedures, taxonomies, and standards. We propose the criterion audit as an operationalizable compliance and assurance external audit framework. We model elements of this approach after financial auditing practices, and argue that AI audits should similarly provide assurance to their stakeholders about AI organizations' ability to govern their algorithms in ways that mitigate harms and uphold human values. We discuss the necessary conditions for the criterion audit and provide a procedural blueprint for performing an audit engagement in practice. We illustrate how this framework can be adapted to current regulations by deriving the criteria on which bias audits can be performed for in-scope hiring algorithms, as required by the recently effective New York City Local Law 144 of 2021. We conclude by offering a critical discussion on the benefits, inherent limitations, and implementation challenges of applying practices of the more mature financial auditing industry to AI auditing where robust guardrails against quality assurance issues are only starting to emerge. Our discussion -- informed by experiences in performing these audits in practice -- highlights the critical role that an audit ecosystem plays in ensuring the effectiveness of audits.
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- 2024
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12. Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse
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Blili-Hamelin, Borhane, Hancox-Li, Leif, and Smart, Andrew
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Computer Science - Computers and Society - Abstract
Dreams of machines rivaling human intelligence have shaped the field of AI since its inception. Yet, the very meaning of human-level AI or artificial general intelligence (AGI) remains elusive and contested. Definitions of AGI embrace a diverse range of incompatible values and assumptions. Contending with the fractured worldviews of AGI discourse is vital for critiques that pursue different values and futures. To that end, we provide a taxonomy of AGI definitions, laying the ground for examining the key social, political, and ethical assumptions they make. We highlight instances in which these definitions frame AGI or human-level AI as a technical topic and expose the value-laden choices being implicitly made. Drawing on feminist, STS, and social science scholarship on the political and social character of intelligence in both humans and machines, we propose contextual, democratic, and participatory paths to imagining future forms of machine intelligence. The development of future forms of AI must involve explicit attention to the values it encodes, the people it includes or excludes, and a commitment to epistemic justice.
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- 2024
13. Bioaccessibility Characterization of Organic Matter, Nitrogen, and Phosphorus from Microalgae-Bacteria Aggregates
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Romero-Frasca, Enrique, Galea-Outón, Sandra, Coronado-Apodaca, Karina G., Milferstedt, Kim, Jimenez, Julie, Hamelin, Jérôme, and Buitrón, Germán
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- 2024
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14. Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines
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Kovalchik, Kevin A., Hamelin, David J., Kubiniok, Peter, Bourdin, Benoîte, Mostefai, Fatima, Poujol, Raphaël, Paré, Bastien, Simpson, Shawn M., Sidney, John, Bonneil, Éric, Courcelles, Mathieu, Saini, Sunil Kumar, Shahbazy, Mohammad, Kapoor, Saketh, Rajesh, Vigneshwar, Weitzen, Maya, Grenier, Jean-Christophe, Gharsallaoui, Bayrem, Maréchal, Loïze, Wu, Zhaoguan, Savoie, Christopher, Sette, Alessandro, Thibault, Pierre, Sirois, Isabelle, Smith, Martin A., Decaluwe, Hélène, Hussin, Julie G., Lavallée-Adam, Mathieu, and Caron, Etienne
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- 2024
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15. Adults born preterm have lower peripheral skeletal muscle area and strength
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Deprez, Alyson, El-Jalbout, Ramy, Cloutier, Anik, Gagnon, Dany H., Gagnon Hamelin, Andréa, Mathieu, Marie-Eve, Kugathasan, Thiffya Arabi, Dumont, Nicolas A., Nuyt, Anne Monique, and Luu, Thuy Mai
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- 2024
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16. Author Correction: Mucosal bivalent live attenuated vaccine protects against human metapneumovirus and respiratory syncytial virus in mice
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Ogonczyk-Makowska, Daniela, Brun, Pauline, Vacher, Clémence, Chupin, Caroline, Droillard, Clément, Carbonneau, Julie, Laurent, Emilie, Dulière, Victoria, Traversier, Aurélien, Terrier, Olivier, Julien, Thomas, Galloux, Marie, Paul, Stéphane, Eléouët, Jean-François, Fouret, Julien, Hamelin, Marie-Eve, Pizzorno, Andrés, Boivin, Guy, Rosa-Calatrava, Manuel, and Dubois, Julia
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- 2024
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17. Mucosal bivalent live attenuated vaccine protects against human metapneumovirus and respiratory syncytial virus in mice
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Ogonczyk-Makowska, Daniela, Brun, Pauline, Vacher, Clémence, Chupin, Caroline, Droillard, Clément, Carbonneau, Julie, Laurent, Emilie, Dulière, Victoria, Traversier, Aurélien, Terrier, Olivier, Julien, Thomas, Galloux, Marie, Paul, Stéphane, Eléouët, Jean-François, Fouret, Julien, Hamelin, Marie-Eve, Pizzorno, Andrés, Boivin, Guy, Rosa-Calatrava, Manuel, and Dubois, Julia
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- 2024
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18. Active optical phased array integrated within a micro-cantilever
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Guerber, Sylvain, Fowler, Daivid, Mollard, Laurent, Dieppedale, Christel, Le Rhun, Gwenael, Hamelin, Antoine, Faugier-Tovar, Jonathan, and Abdoul-Carime, Kim
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- 2024
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19. Genetics of flight in spongy moths (Lymantria dispar ssp.): functionally integrated profiling of a complex invasive trait
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Blackburn, Gwylim S., Keeling, Christopher I., Prunier, Julien, Keena, Melody A., Béliveau, Catherine, Hamelin, Richard, Havill, Nathan P., Hebert, Francois Olivier, Levesque, Roger C., Cusson, Michel, and Porth, Ilga
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- 2024
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20. A recurrent de novo missense mutation in COL1A1 causes osteogenesis imperfecta type II and preterm delivery in Normande cattle
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Corbeau, Julien, Grohs, Cécile, Jourdain, Jeanlin, Boussaha, Mekki, Besnard, Florian, Barbat, Anne, Plassard, Vincent, Rivière, Julie, Hamelin, Christophe, Mortier, Jeremy, Boichard, Didier, Guatteo, Raphaël, and Capitan, Aurélien
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- 2024
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21. Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines
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Kevin A. Kovalchik, David J. Hamelin, Peter Kubiniok, Benoîte Bourdin, Fatima Mostefai, Raphaël Poujol, Bastien Paré, Shawn M. Simpson, John Sidney, Éric Bonneil, Mathieu Courcelles, Sunil Kumar Saini, Mohammad Shahbazy, Saketh Kapoor, Vigneshwar Rajesh, Maya Weitzen, Jean-Christophe Grenier, Bayrem Gharsallaoui, Loïze Maréchal, Zhaoguan Wu, Christopher Savoie, Alessandro Sette, Pierre Thibault, Isabelle Sirois, Martin A. Smith, Hélène Decaluwe, Julie G. Hussin, Mathieu Lavallée-Adam, and Etienne Caron
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Science - Abstract
Abstract Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity against current and emerging SARS-CoV-2 variants. Precise identification of conserved T-cell epitopes is critical for designing effective vaccines. Here we introduce a comprehensive computational framework incorporating a machine learning algorithm—MHCvalidator—to enhance mass spectrometry-based immunopeptidomics sensitivity. MHCvalidator identifies unique T-cell epitopes presented by the B7 supertype, including an epitope from a + 1-frameshift in a truncated Spike antigen, supported by ribosome profiling. Analysis of 100,512 COVID-19 patient proteomes shows Spike antigen truncation in 0.85% of cases, revealing frameshifted viral antigens at the population level. Our EpiTrack pipeline tracks global mutations of MHCvalidator-identified CD8 + T-cell epitopes from the BNT162b4 vaccine. While most vaccine epitopes remain globally conserved, an immunodominant A*01-associated epitope mutates in Delta and Omicron variants. This work highlights SARS-CoV-2 antigenic features and emphasizes the importance of continuous adaptation in T-cell vaccine development.
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- 2024
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22. Circovirus Hepatitis in Immunocompromised Patient, Switzerland
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Baptiste Hamelin, Philippe Pérot, Ian Pichler, Jasmin D. Haslbauer, David Hardy, David Hing, Sarra Loulizi, Béatrice Regnault, Anouk Pieters, Ingmar Heijnen, Caroline Berkemeier, Maria Mancuso, Verena Kufner, Niels Willi, Anne Jamet, Nolwenn Dheilly, Marc Eloit, Mike Recher, Michael Huber, and Kirsten D. Mertz
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circovirus ,porcine circovirus ,hepatitis ,immunosuppression ,transmission ,viruses ,Medicine ,Infectious and parasitic diseases ,RC109-216 - Abstract
We identified a novel human circovirus in an immunocompromised 66-year-old woman with sudden onset of self-limiting hepatitis. We detected human circovirus 1 (HCirV-1) transcripts in hepatocytes and the HCirV-1 genome long-term in the patient’s blood, stool, and urine. HCirV-1 is an emerging human pathogen that persists in susceptible patients.
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- 2024
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23. Assessing Wind Impact on Semi-Autonomous Drone Landings for In-Contact Power Line Inspection
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Gendron, Etienne, Leclerc, Marc-Antoine, Hovington, Samuel, Perron, Etienne, Rancourt, David, Lussier-Desbiens, Alexis, Hamelin, Philippe, and Girard, Alexandre
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Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Robotics - Abstract
In recent years, the use of inspection drones has become increasingly popular for high-voltage electric cable inspections due to their efficiency, cost-effectiveness, and ability to access hard-to-reach areas. However, safely landing drones on power lines, especially under windy conditions, remains a significant challenge. This study introduces a semi-autonomous control scheme for landing on an electrical line with the NADILE drone (an experimental drone based on original LineDrone key features for inspection of power lines) and assesses the operating envelope under various wind conditions. A Monte Carlo method is employed to analyze the success probability of landing given initial drone states. The performance of the system is evaluated for two landing strategies, variously controllers parameters and four level of wind intensities. The results show that a two-stage landing strategies offers higher probabilities of landing success and give insight regarding the best controller parameters and the maximum wind level for which the system is robust. Lastly, an experimental demonstration of the system landing autonomously on a power line is presented.
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- 2023
24. Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits
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Dort, EN, Layne, E, Feau, N, Butyaev, A, Henrissat, B, Martin, FM, Haridas, S, Salamov, A, Grigoriev, IV, Blanchette, M, and Hamelin, RC
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Microbiology ,Biological Sciences ,Networking and Information Technology R&D (NITRD) ,Biotechnology ,Genetics ,Human Genome ,Machine Learning and Artificial Intelligence ,Infectious Diseases ,Humans ,Phylogeny ,Genome ,Fungal ,Ascomycota ,Genomics ,Peptide Hydrolases ,Life Style ,Machine Learning - Abstract
Invasive plant pathogenic fungi have a global impact, with devastating economic and environmental effects on crops and forests. Biosurveillance, a critical component of threat mitigation, requires risk prediction based on fungal lifestyles and traits. Recent studies have revealed distinct genomic patterns associated with specific groups of plant pathogenic fungi. We sought to establish whether these phytopathogenic genomic patterns hold across diverse taxonomic and ecological groups from the Ascomycota and Basidiomycota, and furthermore, if those patterns can be used in a predictive capacity for biosurveillance. Using a supervised machine learning approach that integrates phylogenetic and genomic data, we analyzed 387 fungal genomes to test a proof-of-concept for the use of genomic signatures in predicting fungal phytopathogenic lifestyles and traits during biosurveillance activities. Our machine learning feature sets were derived from genome annotation data of carbohydrate-active enzymes (CAZymes), peptidases, secondary metabolite clusters (SMCs), transporters, and transcription factors. We found that machine learning could successfully predict fungal lifestyles and traits across taxonomic groups, with the best predictive performance coming from feature sets comprising CAZyme, peptidase, and SMC data. While phylogeny was an important component in most predictions, the inclusion of genomic data improved prediction performance for every lifestyle and trait tested. Plant pathogenicity was one of the best-predicted traits, showing the promise of predictive genomics for biosurveillance applications. Furthermore, our machine learning approach revealed expansions in the number of genes from specific CAZyme and peptidase families in the genomes of plant pathogens compared to non-phytopathogenic genomes (saprotrophs, endo- and ectomycorrhizal fungi). Such genomic feature profiles give insight into the evolution of fungal phytopathogenicity and could be useful to predict the risks of unknown fungi in future biosurveillance activities.
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- 2023
25. Sports Gambling Intention Comparison Between Males and Females in the United States
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Kape, Christopher, Hamelin, Nicolas, and Abraham, Christopher
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- 2024
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26. Adults born preterm have lower peripheral skeletal muscle area and strength
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Alyson Deprez, Ramy El-Jalbout, Anik Cloutier, Dany H. Gagnon, Andréa Gagnon Hamelin, Marie-Eve Mathieu, Thiffya Arabi Kugathasan, Nicolas A. Dumont, Anne Monique Nuyt, and Thuy Mai Luu
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Prematurity ,Muscle ,Strength ,Stiffness ,Bronchopulmonary dysplasia ,Medicine ,Science - Abstract
Abstract Prematurity is associated with lower exercise capacity, which relies on the integrity of the cardiovascular, pulmonary, and skeletal muscle systems. Our animal model mimicking prematurity-associated conditions showed altered muscle composition and atrophy in adulthood. This study aimed to compare muscle composition and strength in adults born preterm versus full-term controls. This observational cohort study recruited 55 adults born preterm, ≤ 29 weeks’ of gestation and 53 full-term controls who underwent musculoskeletal ultrasound imaging to assess morphology of the rectus femoris at rest and during a maximal voluntary contraction. Maximal voluntary contraction of the hands and legs were measured by manual dynamometry. In adults born preterm, there was lower muscle strength (handgrip: − 4.8 kg, 95% CI − 9.1, − 0.6; knee extensor: − 44.6 N/m, 95% CI − 63.4, − 25.8) and smaller muscle area (− 130 mm2, 95% CI − 207, − 53), which was more pronounced with a history of bronchopulmonary dysplasia. Muscle stiffness was increased in the preterm versus term group (0.4 m/s, 95% CI 0.04, 0.7). Prematurity is associated with alterations in skeletal muscle composition, area, and function in adulthood. These findings highlight the necessity to implement preventive and/or curative approaches to improve muscle development and function following preterm birth to enhance overall health in this population.
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- 2024
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27. Two cases demonstrate an association between Tropheryma whipplei and pulmonary marginal zone lymphoma
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J. D. Haslbauer, C. Wiegand, B. Hamelin, V. S. Ivanova, T. Menter, S. Savic Prince, A. Tzankov, and K. D. Mertz
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Pulmonary marginal zone lymphoma ,MALT lymphoma ,Tropheryma whipplei ,Achromobacter xylosoxidans ,Whipple’s disease ,Pulmonary microenvironment ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Marginal zone lymphomas of mucosa-associated lymphatic tissues (MZL of MALT) are a group of indolent B-cell neoplasms, which are thought to arise from chronic antigenic stimulation of B-cells either due to underlying chronic infection or autoimmune disease. Little is known about potential causative pathogens in pulmonary MZL (PMZL), although some data suggests a potential role of Achromobacter (A.) xylosoxidans. Methods An index case of chronic pulmonary colonisation with Tropheryma (T.) whipplei and subsequent development of PMZL was identified by T. whipplei specific PCR and metagenomic next genome sequencing (mNGS). This case prompted a retrospectively conducted analysis of T. whipplei-specific PCRs in lung tissue from PMZL patients (n = 22), other pulmonary lymphomas, and normal controls. Positive results were confirmed by mNGS. A systematic search for T. whipplei and A. xylosoxidans in our in-house mNGS dataset comprising autopsy lungs, lung biopsies and lung resection specimens (n = 181) was subsequently performed. Results A 69-year-old patient presented with weight loss and persistent pulmonary consolidation. Subsequent mNGS analysis detected T. whipplei in the resected lung specimen. An antibiotic regimen eventually eliminated the bacterium. However, the consolidation persisted, and the diagnosis of PMZL was made in a second lung resection specimen. A second case of T. whipplei-associated PMZL was subsequently detected in the retrospectively analysed PMZL cohort. Both cases showed comparatively few mutations and no mutations in genes encoding for NF-κB pathway components, suggesting that T. whipplei infection may substitute for mutations in these PMZL. None of the samples in our in-house dataset tested positive for T. whipplei. In contrast, A. xylosoxidans was frequently found in both autopsy lungs and lung biopsy / resection specimens that were not affected by PMZL (> 50%). Conclusions Our data suggests that T. whipplei colonisation of lungs may trigger PMZL as a potential driver. Systematic analyses with larger cohorts should be conducted to further support this hypothesis. The frequent detection of A. xylosoxidans in lung tissue suggests that it is a common component of the pulmonary microbiome and therefore less likely to trigger lymphomas.
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- 2024
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28. Bringing Light to School Counselors' Burnout: The Role of Occupational Identity Suffering
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Hamelin, Gabriella, Viviers, Simon, Litalien, David, and Boulet, Johannie
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This study aims to validate a predictive model of school counselors' burnout from occupational activities through "occupational identity suffering" (OIS). OIS is defined as the psyche battle between the individual's need for professional accomplishment and the inability to recognize one's profession in daily work duties. Tested among 269 guidance counselors working in school settings (Quebec, Canada), the model proposes that OIS is positively predicted by administrative work and negatively predicted by guidance and counseling activities. In turn, OIS should positively predict burnout. Results from structural equation modeling mostly support the model. Implications for prevention of school counselors' burnout are discussed.
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- 2023
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29. Tracking the North American Asian Longhorned Beetle Invasion With Genomics
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Mingming Cui, Amanda D. Roe, Brian Boyle, Melody Keena, Yunke Wu, W. Evan Braswell, Michael T. Smith, Ben Gasman, Juan Shi, Marion Javal, Geraldine Roux, Jean J. Turgeon, Richard Hamelin, and Ilga Porth
- Subjects
biosurveillance ,introduction source ,invasion history ,invasive species ,secondary spread ,Evolution ,QH359-425 - Abstract
ABSTRACT Biological invasions pose significant threats to ecological and economic stability, with invasive pests like the Asian longhorned beetle (Anoplophora glabripennis Motschulsky, ALB) causing substantial damage to forest ecosystems. Effective pest management relies on comprehensive knowledge of the insect's biology and invasion history. This study uses genomics to address these knowledge gaps and inform existing biosurveillance frameworks. We used 2768 genome‐wide single nucleotide polymorphisms to compare invasive A. glabripennis populations in North America, using genomic variation to trace their sources of invasion and spread patterns, thereby refining our understanding of this species' invasion history. We found that most North American A. glabripennis infestations were distinct, resulting from multiple independent introductions from the native range. Following their introduction, all invasive populations experienced a genetic bottleneck which was followed by a population expansion, with a few also showing secondary spread to satellite infestations. Our study provides a foundation for a genome‐based biosurveillance tool that can be used to clarify the origin of intercepted individuals, allowing regulatory agencies to strengthen biosecurity measures against this invasive beetle.
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- 2024
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30. Beyond the genomes of Fulvia fulva (syn. Cladosporium fulvum) and Dothistroma septosporum: New insights into how these fungal pathogens interact with their host plants
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Mesarich, Carl H, Barnes, Irene, Bradley, Ellie L, Rosa, Silvia, Wit, Pierre JGM, Guo, Yanan, Griffiths, Scott A, Hamelin, Richard C, Joosten, Matthieu HAJ, Lu, Mengmeng, McCarthy, Hannah M, Schol, Christiaan R, Stergiopoulos, Ioannis, Tarallo, Mariana, Zaccaron, Alex Z, and Bradshaw, Rosie E
- Subjects
Microbiology ,Plant Biology ,Biological Sciences ,Prevention ,2.2 Factors relating to the physical environment ,Aetiology ,Infection ,Ascomycota ,Cladosporium ,Pinus ,Genome ,Fungal ,Host Microbial Interactions ,Dothistroma needle blight ,effector proteins ,genome sequences ,host susceptibility and resistance ,pathogen diversity ,secondary metabolites ,tomato leaf mould ,Crop and Pasture Production ,Plant Biology & Botany ,Evolutionary biology ,Plant biology - Abstract
Fulvia fulva and Dothistroma septosporum are closely related apoplastic pathogens with similar lifestyles but different hosts: F. fulva is a pathogen of tomato, whilst D. septosporum is a pathogen of pine trees. In 2012, the first genome sequences of these pathogens were published, with F. fulva and D. septosporum having highly fragmented and near-complete assemblies, respectively. Since then, significant advances have been made in unravelling their genome architectures. For instance, the genome of F. fulva has now been assembled into 14 chromosomes, 13 of which have synteny with the 14 chromosomes of D. septosporum, suggesting these pathogens are even more closely related than originally thought. Considerable advances have also been made in the identification and functional characterization of virulence factors (e.g., effector proteins and secondary metabolites) from these pathogens, thereby providing new insights into how they promote host colonization or activate plant defence responses. For example, it has now been established that effector proteins from both F. fulva and D. septosporum interact with cell-surface immune receptors and co-receptors to activate the plant immune system. Progress has also been made in understanding how F. fulva and D. septosporum have evolved with their host plants, whilst intensive research into pandemics of Dothistroma needle blight in the Northern Hemisphere has shed light on the origins, migration, and genetic diversity of the global D. septosporum population. In this review, we specifically summarize advances made in our understanding of the F. fulva-tomato and D. septosporum-pine pathosystems over the last 10 years.
- Published
- 2023
31. 02. A Different Degree of Care
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Hamelin, Kathryn, LMFT, RPT-S, CCLS and Zynkian, Megan, MSL, BSN, RN, CCRN
- Published
- 2023
32. Mucosal bivalent live attenuated vaccine protects against human metapneumovirus and respiratory syncytial virus in mice
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Daniela Ogonczyk-Makowska, Pauline Brun, Clémence Vacher, Caroline Chupin, Clément Droillard, Julie Carbonneau, Emilie Laurent, Victoria Dulière, Aurélien Traversier, Olivier Terrier, Thomas Julien, Marie Galloux, Stéphane Paul, Jean-François Eléouët, Julien Fouret, Marie-Eve Hamelin, Andrés Pizzorno, Guy Boivin, Manuel Rosa-Calatrava, and Julia Dubois
- Subjects
Immunologic diseases. Allergy ,RC581-607 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Live-Attenuated Vaccines (LAVs) stimulate robust mucosal and cellular responses and have the potential to protect against Respiratory Syncytial Virus (RSV) and Human Metapneumovirus (HMPV), the main etiologic agents of viral bronchiolitis and pneumonia in children. We inserted the RSV-F gene into an HMPV-based LAV (Metavac®) we previously validated for the protection of mice against HMPV challenge, and rescued a replicative recombinant virus (Metavac®-RSV), exposing both RSV- and HMPV-F proteins at the virion surface and expressing them in reconstructed human airway epithelium models. When administered to BALB/c mice by the intranasal route, bivalent Metavac®-RSV demonstrated its capacity to replicate with reduced lung inflammatory score and to protect against both RSV and lethal HMPV challenges in vaccinated mice while inducing strong IgG and broad RSV and HMPV neutralizing antibody responses. Altogether, our results showed the versatility of the Metavac® platform and suggested that Metavac®-RSV is a promising mucosal bivalent LAV candidate to prevent pneumovirus-induced diseases.
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- 2024
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33. Active optical phased array integrated within a micro-cantilever
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Sylvain Guerber, Daivid Fowler, Laurent Mollard, Christel Dieppedale, Gwenael Le Rhun, Antoine Hamelin, Jonathan Faugier-Tovar, and Kim Abdoul-Carime
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Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Abstract Three dimensional sensing is essential in order that machines may operate in and interact with complex dynamic environments. Solid-state beam scanning devices are seen as being key to achieving required system specifications in terms of sensing range, resolution, refresh rate and cost. Integrated optical phased arrays fabricated on silicon wafers are a potential solution, but demonstrated devices with system-level performance currently rely on expensive widely tunable source lasers. Here, we combine silicon nitride photonics and micro-electromechanical system technologies, demonstrating the integration of an active photonic beam-steering circuit into a piezoelectric actuated micro cantilever. An optical phased array, operating at a wavelength of 905 nm, provides output beam scanning over a range of 17° in one dimension, while the inclination of the entire circuit and consequently the angle of the output beam in a second dimension can be independently modified over a range of up to 40° using the piezoelectric actuator.
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- 2024
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34. Genetics of flight in spongy moths (Lymantria dispar ssp.): functionally integrated profiling of a complex invasive trait
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Gwylim S. Blackburn, Christopher I. Keeling, Julien Prunier, Melody A. Keena, Catherine Béliveau, Richard Hamelin, Nathan P. Havill, Francois Olivier Hebert, Roger C. Levesque, Michel Cusson, and Ilga Porth
- Subjects
GWAS ,Inbred lines ,Transcriptomics ,Biological invasion ,Biosurveillance ,Spongy moth ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background Flight can drastically enhance dispersal capacity and is a key trait defining the potential of exotic insect species to spread and invade new habitats. The phytophagous European spongy moths (ESM, Lymantria dispar dispar) and Asian spongy moths (ASM; a multi–species group represented here by L. d. asiatica and L. d. japonica), are globally invasive species that vary in adult female flight capability—female ASM are typically flight capable, whereas female ESM are typically flightless. Genetic markers of flight capability would supply a powerful tool for flight profiling of these species at any intercepted life stage. To assess the functional complexity of spongy moth flight and to identify potential markers of flight capability, we used multiple genetic approaches aimed at capturing complementary signals of putative flight–relevant genetic divergence between ESM and ASM: reduced representation genome–wide association studies, whole genome sequence comparisons, and developmental transcriptomics. We then judged the candidacy of flight–associated genes through functional analyses aimed at addressing the proximate demands of flight and salient features of the ecological context of spongy moth flight evolution. Results Candidate gene sets were typically non–overlapping across different genetic approaches, with only nine gene annotations shared between any pair of approaches. We detected an array of flight–relevant functional themes across gene sets that collectively suggest divergence in flight capability between European and Asian spongy moth lineages has coincided with evolutionary differentiation in multiple aspects of flight development, execution, and surrounding life history. Overall, our results indicate that spongy moth flight evolution has shaped or been influenced by a large and functionally broad network of traits. Conclusions Our study identified a suite of flight–associated genes in spongy moths suited to exploration of the genetic architecture and evolution of flight, or validation for flight profiling purposes. This work illustrates how complementary genetic approaches combined with phenotypically targeted functional analyses can help to characterize genetically complex traits.
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- 2024
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35. A recurrent de novo missense mutation in COL1A1 causes osteogenesis imperfecta type II and preterm delivery in Normande cattle
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Julien Corbeau, Cécile Grohs, Jeanlin Jourdain, Mekki Boussaha, Florian Besnard, Anne Barbat, Vincent Plassard, Julie Rivière, Christophe Hamelin, Jeremy Mortier, Didier Boichard, Raphaël Guatteo, and Aurélien Capitan
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Animal culture ,SF1-1100 ,Genetics ,QH426-470 - Abstract
Abstract Background Nine male and eight female calves born to a Normande artificial insemination bull named “Ly” were referred to the French National Observatory of Bovine Abnormalities for multiple fractures, shortened gestation, and stillbirth or perinatal mortality. Results Using Illumina BovineSNP50 array genotypes from affected calves and 84 half-sib controls, the associated locus was mapped to a 6.5-Mb interval on chromosome 19, assuming autosomal inheritance with germline mosaicism. Subsequent comparison of the whole-genome sequences of one case and 5116 control genomes, followed by genotyping in the affected pedigree, identified a de novo missense substitution within the NC1 domain of the COL1A1 gene (Chr19 g.36,473,965G > A; p.D1412N) as unique candidate variant. Interestingly, the affected residue was completely conserved among 243 vertebrate orthologs, and the same substitution in humans has been reported to cause type II osteogenesis imperfecta (OI), a connective tissue disorder that is characterized primarily by bone deformity and fragility. Moreover, three COL1A1 mutations have been described to cause the same syndrome in cattle. Necropsy, computed tomography, radiology, and histology confirmed the diagnosis of type II OI, further supporting the causality of this variant. In addition, a detailed analysis of gestation length and perinatal mortality in 1387 offspring of Ly and more than 160,000 progeny of 63 control bulls allowed us to statistically confirm in a large pedigree the association between type II OI and preterm delivery, which is probably due to premature rupture of fetal membranes and has been reported in several isolated cases of type II OI in humans and cattle. Finally, analysis of perinatal mortality rates and segregation distortion supported a low level of germ cell mosaicism in Ly, with an estimate of 4.5% to 7.7% of mutant sperm and thus 63 to 107 affected calves born. These numbers contrast with the 17 cases reported and raise concerns about the underreporting of congenital defects to heredo-surveillance platforms, even for textbook genetic syndromes. Conclusions In conclusion, we describe a large animal model for a recurrent substitution in COL1A1 that is responsible for type II OI in humans. More generally, this study highlights the utility of such datasets and large half-sib families available in livestock species to characterize sporadic genetic defects.
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- 2024
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36. A New Upper Bound for the d-dimensional Algebraic Connectivity of Arbitrary Graphs
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Presenza, Juan F., Mas, Ignacio, Giribet, Juan I., and Alvarez-Hamelin, J. Ignacio
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Mathematics - Combinatorics ,Mathematics - Algebraic Geometry - Abstract
In this paper we show that the $d$-dimensional algebraic connectivity of an arbitrary graph $G$ is bounded above by its $1$-dimensional algebraic connectivity, i.e., $a_d(G) \leq a_1(G)$, where $a_1(G)$ corresponds the well-studied second smallest eigenvalue of the graph Laplacian.
- Published
- 2022
37. Making Intelligence: Ethical Values in IQ and ML Benchmarks
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Blili-Hamelin, Borhane and Hancox-Li, Leif
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Computer Science - Machine Learning ,Computer Science - Computers and Society - Abstract
In recent years, ML researchers have wrestled with defining and improving machine learning (ML) benchmarks and datasets. In parallel, some have trained a critical lens on the ethics of dataset creation and ML research. In this position paper, we highlight the entanglement of ethics with seemingly ``technical'' or ``scientific'' decisions about the design of ML benchmarks. Our starting point is the existence of multiple overlooked structural similarities between human intelligence benchmarks and ML benchmarks. Both types of benchmarks set standards for describing, evaluating, and comparing performance on tasks relevant to intelligence -- standards that many scholars of human intelligence have long recognized as value-laden. We use perspectives from feminist philosophy of science on IQ benchmarks and thick concepts in social science to argue that values need to be considered and documented when creating ML benchmarks. It is neither possible nor desirable to avoid this choice by creating value-neutral benchmarks. Finally, we outline practical recommendations for ML benchmark research ethics and ethics review., Comment: FAccT 2023, June 12 to 15, 2023, Chicago, IL, USA
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- 2022
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38. Who talks about what? Comparing the information treatment in traditional media with online discussions
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Schawe, Hendrik, Beiró, Mariano Gastón, Alvarez-Hamelin, J. Ignacio, Kotzinos, Dimitris, and Hernández, Laura
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Physics - Physics and Society ,Computer Science - Social and Information Networks - Abstract
We study the dynamics of interactions between a traditional medium, the New York Times journal, and its followers in Twitter, using a massive dataset. It consists of the metadata of the articles published by the journal during the first year of the COVID-19 pandemic, and the posts published in Twitter by a large set of followers of the @nytimes account along with those published by a set of followers of several other media of different kind. The dynamics of discussions held in Twitter by exclusive followers of a medium show a strong dependence on the medium they follow: the followers of @FoxNews show the highest similarity to each other and a strong differentiation of interests with the general group. Our results also reveal the difference in the attention payed to U.S. presidential elections by the journal and by its followers, and show that the topic related to the ``Black Lives Matter'' movement started in Twitter, and was addressed later by the journal., Comment: 14 pages, 7 figures
- Published
- 2022
39. Combining Masculinizing Resistance, Rotation, and Biocontrol to Achieve Durable Suppression of the Potato Pale Cyst Nematode: A Model
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Israël Tankam Chedjou, Josselin Montarry, Sylvain Fournet, and Frédéric M. Hamelin
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biological control ,crop rotation ,demo‐genetic model ,durable management of resistance ,Globodera pallida ,integrated pest management ,Evolution ,QH359-425 - Abstract
ABSTRACT The pale cyst nematode, Globodera pallida, is a pest that poses a significant threat to potato crops worldwide. The most effective chemical nematicides are toxic to nontarget organisms and are now banned. Alternative control methods are therefore required. Crop rotation and biological control methods have limitations for effectively managing nematodes. The use of genetically resistant cultivars is a promising alternative, but nematode populations evolve, and virulent mutants can break resistance after just a few years. Masculinizing resistances, preventing avirulent nematodes from producing females, might be more durable than blocking resistances, preventing infection. Our demo‐genetic model, tracking both nematode population densities and virulence allele frequencies, shows that virulence against masculinizing resistance may not be fixed in the pest population under realistic agricultural conditions. Avirulence may persist despite the uniform use of resistance. This is because avirulent male nematodes may transmit avirulent alleles to their progeny by mating with virulent females. Additionally, because avirulent nematodes do not produce females themselves, they weaken the reproductive rate of the nematode population, leading to a reduction in its density by at least 20%. This avirulence load can even lead to the collapse of the nematode population in theory. Overall, our model showed that combining masculinizing resistance, rotation, and biocontrol may achieve durable suppression of G. pallida in a reasonable time frame. Our work is supported by an online interactive interface allowing users (i.e., growers, plant health authorities, researchers) to test their own control combinations.
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- 2024
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40. SARS-CoV-2 seroprevalence and mental health of school staff: a cross-sectional study of schools from four areas of Montreal, Quebec in 2021
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Jesse Papenburg, Gaston De Serres, Guy Boivin, Caroline Quach, Kate Zinszer, Katia Charland, Marie-Ève Hamelin, Adrien Saucier, Laura Pierce, Julie Carbonneau, Cat Tuong Nguyen, Matteo Pannunzio, Eleanor Greenspan-Ardman, and Margot Barbosa Da Torre
- Subjects
Medicine - Abstract
Objectives To assess the seroprevalence of infection-acquired SARS-CoV-2 and the mental health of school/daycare staff in the months after reopening of schools in Montreal, Quebec (Canada) in the Fall of 2020 and whether these varied by school and participant characteristics.Design A cross-sectional design based on a convenience sample of schools/daycares and staff was used as the originally planned longitudinal design was no longer feasible due to obstacles in recruitment, for example, teacher’s strike.Setting Forty-nine schools/daycares in four Montreal neighbourhoods from March to October 2021.Participants Three-hundred and sixty-two participants completed both questionnaires and serology tests.Primary and secondary outcome measures SARS-CoV-2 seroprevalence and prevalence of anxiety, depression, resilience and burnout/emotional exhaustion.Results The seroprevalence estimate made representative to the Quebec population of educators was 8.6% (95% CI 5.2 to 13.0). The adjusted seroprevalence in high school was 20% that of elementary school (aRR=0.20, 95% CI 0.07 to 0.58). Thirty per cent of seropositive staff were exposed to a household member with confirmed COVID-19. Prevalence of high emotional exhaustion/burnout was 35%, 44% and 53% in daycare, elementary school and high school staff, respectively. However, moderate/severe anxiety and depression and low resilience did not exceed 18%. After adjusting for confounders, being very afraid of catching COVID-19 at school was associated with moderate–severe anxiety, moderate–severe depression and high emotional exhaustion (aRR=4.4, 95% CI 2.2 to 8.9; aRR=2.8, 95% CI 1.5 to 5.4; aRR=2.2, 95% CI 1.6 to 3.0, respectively).Conclusion The seroprevalence, anxiety and depression among school/daycare staff were comparable to the reported levels in the adult population of Quebec. The prevalence of emotional exhaustion/burnout was high across all school levels and exceeding the average across all occupations in the USA and in teachers in Germany.
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- 2024
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41. Isopropyl alcohol as anti-emetic therapy in the emergency department: study protocol for a multi-center randomized controlled trial
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Alexandra Hamelin, Ali Shahbaz Syed, and Venkatesh Thiruganasambandamoorthy
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emergency department ,isopropyl alcohol ,inhalation ,nausea ,vomiting ,Medicine ,Medicine (General) ,R5-920 - Abstract
Background: Nausea and vomiting is a common and distressing presenting complaint in Emergency Departments (EDs). There is no definite evidence to support the superiority of any anti-emetic therapy over another, or over placebo. Identification of an effective anti-emetic therapy in the ED setting with minimal side effects would be of great benefit. Isopropyl alcohol inhalation has been reported to be an effective treatment for post-operative nausea and vomiting, with no reported adverse events. The objective of this study is to determine if nasally inhaled isopropyl alcohol swabs are effective in alleviating nausea and/or vomiting in patients presenting to the ED with a chief complaint of nausea and/or vomiting. Methods: We will conduct a randomized, controlled, multicenter trial with three subject arms: 1) nasally inhaled isopropyl alcohol swabs every 10 minutes for a total of one hour, 2) nasally inhaled isopropyl alcohol swabs every 20 minutes for a total of one hour, or 3) no intervention. 135 participants ≥18 years old and presenting to the ED with a chief complaint of nausea and/or vomiting with a level of 3 or greater on a verbal numeric rating scale (NRS) will be recruited for a duration of two hours. The primary outcome measure is the mean reduction in nausea scores comparing the pre-intervention score to the lowest post-intervention nausea score. The secondary outcome measures will be participant satisfaction scores using a verbal NRS, receipt of any rescue anti-emetic medications, ED length of stay, and participant disposition (admission or discharge home). Discussion: This study will determine the efficacy of inhaled isopropyl alcohol swabs by determining the optimal dosing frequency achieving adequate anti-emetic action. This has the potential to guide future triage protocols to incorporate this therapy to provide earlier symptomatic relief to patients, and also has the potential to prevent morbidity suffered by patients in the emergency department and improving patient satisfaction and efficiently use in-patient resources. We strongly suspect that once this study is performed, it will be useful for ED physicians in treating nausea and vomiting in the ED.
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- 2024
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42. Community-Based Ocean Literacy: Four Examples of Ocean Optimism from Mi'kma'ki/Atlantic Canada
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Ostertag, Julia, Ammendolia, Justine, Vance, Alexandra, McPherson, Kerri, Hamelin, Kayla M., Cousineau, Maryse, Daoud, Dounia, Morissette, Lyne, Orren, Kimberly, Hill, Amy, VanderKloet, Evelien, Whoriskey, Fr, Iverson, Sara, Sutherland, Maggie, Denny, Shelley, Beland, Joseph, Syliboy, Alanna, Stokesbury, Michael J. W., and Porter, Darren
- Abstract
In this article, we consider the role of ocean literacy in coastal communities as an approach that fosters relevant, community-based learning. We also propose solutions to challenges facing human-ocean relationships by cultivating common understanding and collective action. We present four examples of community-based ocean literacy in Mi'kma'ki/Atlantic Canada demonstrate how intersectional approaches to ocean literacy that are context-specific and responsive to community priorities can foster healthier human-ocean relationships: (1) Oceans Week Halifax's organization of community events to strengthen human-ocean relationships; (2) the Apoqnmatulti'k (Mi'kmaw: we help each other) project's partnerships between Mi'kmaq and local knowledge holders and academia; (3) Fishing For Success's (Newfoundland and Labrador) inclusive approaches to connecting marginalized communities to the ocean; and (4) the Co-Existing With North Atlantic Right Whale Project's protection of whales without jeopardizing coastal community livelihoods. Without denying there are barriers to bridging community learning with formal education, we focus on opportunities for collaborations and the importance of ocean optimism in guiding these urgently needed efforts to benefit future community-based, ocean-focused, and solutions-orientated initiatives.
- Published
- 2021
43. Assessing wind impact on semi-autonomous drone landings for in-contact power-line inspection
- Author
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Étienne Gendron, Marc-Antoine Leclerc, Samuel Hovington, Étienne Perron, David Rancourt, Alexis Lussier-Desbiens, Philippe Hamelin, and Alexandre Girard
- Subjects
unmanned aerial vehicles (UAVs) ,power-line inspection ,high-voltage cable inspection ,Monte Carlo simulation ,wind conditions ,landing envelope ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
In recent years, the use of inspection drones has become increasingly popular for high-voltage electric cable inspections due to their efficiency, cost-effectiveness, and ability to access hard-to-reach areas. However, safely landing drones on power lines, especially under windy conditions, remains a significant challenge. This study introduces a semi-autonomous control scheme for landing on an electrical line with the NADILE drone (an experimental drone based on original LineDrone key features for inspection of power lines) and assesses the operating envelope under various wind conditions. A Monte Carlo method is employed to analyze the success probability of landing given initial drone states. The system’s performance is assessed by testing two landing strategies, adjusting controller parameters, and considering four different levels of wind intensity. The results show that a two-stage landing strategy offers higher probabilities of landing success and gives insight regarding the best controller parameters and the maximum wind level for which the system is robust. Finally, an experimental demonstration of the system landing autonomously on a power line is presented.
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- 2024
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44. ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection
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Anjum, Md. Monowar, Iqbal, Shahrear, and Hamelin, Benoit
- Subjects
Computer Science - Cryptography and Security ,Computer Science - Machine Learning - Abstract
We present ANUBIS, a highly effective machine learning-based APT detection system. Our design philosophy for ANUBIS involves two principal components. Firstly, we intend ANUBIS to be effectively utilized by cyber-response teams. Therefore, prediction explainability is one of the main focuses of ANUBIS design. Secondly, ANUBIS uses system provenance graphs to capture causality and thereby achieve high detection performance. At the core of the predictive capability of ANUBIS, there is a Bayesian Neural Network that can tell how confident it is in its predictions. We evaluate ANUBIS against a recent APT dataset (DARPA OpTC) and show that ANUBIS can detect malicious activity akin to APT campaigns with high accuracy. Moreover, ANUBIS learns about high-level patterns that allow it to explain its predictions to threat analysts. The high predictive performance with explainable attack story reconstruction makes ANUBIS an effective tool to use for enterprise cyber defense., Comment: Accepted for publication in the 37th ACM SIGAPP Symposium on Applied Computing (SAC 2022)
- Published
- 2021
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45. Designing weighted and multiplex networks for deep learning user geolocation in Twitter
- Author
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Funes, Federico M., Alvarez-Hamelin, José Ignacio, and Beiró, Mariano G.
- Subjects
Computer Science - Social and Information Networks ,Computer Science - Machine Learning - Abstract
Predicting the geographical location of users of social media like Twitter has found several applications in health surveillance, emergency monitoring, content personalization, and social studies in general. In this work we contribute to the research in this area by designing and evaluating new methods based on the literature of weighted multigraphs combined with state-of-the-art deep learning techniques. The explored methods depart from a similar underlying structure (that of an extended mention and/or follower network) but use different information processing strategies, e.g., information diffusion through transductive and inductive algorithms -- RGCNs and GraphSAGE, respectively -- and node embeddings with Node2vec+. These graphs are then combined with attention mechanisms to incorporate the users' text view into the models. We assess the performance of each of these methods and compare them to baseline models in the publicly available Twitter-US dataset; we also make a new dataset available based on a large Twitter capture in Latin America. Finally, our work discusses the limitations and validity of the comparisons among methods in the context of different label definitions and metrics.
- Published
- 2021
46. Subframework-Based Rigidity Control in Multirobot Networks
- Author
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Presenza, Juan F., Alvarez-Hamelin, J. Ignacio, Mas, Ignacio, and Giribet, Juan I.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
This paper presents an alternative approach to the study of distance rigidity in networks of mobile agents, based on a subframework scheme. The advantage of the proposed strategy lies in expressing framework rigidity, which is inherently global, as a set of local properties. Also, we show that a framework's normalized rigidity eigenvalue degrades as the graph's diameter increases. Thus, the rigidity eigenvalue associated to each subframework arise naturally as a local rigidity metric. A decentralized subframework-based controller for maintaining rigidity using only range measurements is developed, which is also aimed to minimize the network's communication load. Finally, we show that the information exchange required by the controller is completed in a finite number of iterations, indicating the convenience of the proposed scheme.
- Published
- 2021
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47. Indigenous self-determination in fisheries governance: implications from New Zealand and Atlantic Canada
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Hekia Bodwitch, Kayla M. Hamelin, Kenneth Paul, John Reid, and Megan Bailey
- Subjects
environmental governance ,fisheries ,sovereignty ,marine ,environmental justice ,equity ,Science ,General. Including nature conservation, geographical distribution ,QH1-199.5 - Abstract
The United Nations’ Declaration on the Rights of Indigenous Peoples (UNDRIP) recognized Indigenous rights to self-determination. How these rights can be realized in territories governed by settler-states remains unclear. For fisheries, the need to understand processes that support Indigenous self-determination has gained urgency due to government commitments and investor interest in developing ocean and coastal resources, or Blue Economies, amid rapid climatic changes. Here, we explored Indigenous groups’ fishery development experiences following two approaches to reconciling Indigenous fishing rights. In New Zealand, we examined Māori groups’ experiences following the 1992 Treaty of Waitangi (Fisheries Claims) Settlement Act. The Settlement granted Māori iwi (tribes) rights to self-govern non-commercial harvests, restrict fishing pressure in state-approved customary fishing areas, and participate in state-run systems for commercial fisheries management. In Canada, we investigated Indigenous fishery development initiatives following the Supreme Court of Canada’s 1999 ruling R. v. Marshall. Marshall reaffirmed Treaty-protected rights to harvest and trade fish, held by Mi’kmaq, Wolastoqey, and Peskotomuhkati Peoples, to support a “moderate livelihood.” We document how, in both cases, Indigenous groups’ self-determination remains constrained by actions from state regulatory and enforcement agencies that govern market access, other resource users’ activities, and processes for collecting and sharing information about fish populations. Indigenous groups’ experiences highlight that: 1) reallocations of harvest rights, on their own, are an insufficient means to redistribute access to benefits from fisheries; 2) the constraints Indigenous families have experienced in their attempts to develop small-scale fishing operations correspond to settler-state policies and cannot be addressed solely through changes to Indigenous leaders’ management decisions; and 3) polycentricity in governance regimes can pose problems for Indigenous self-determination, when citizens with political authority resist efforts to support Indigenous fisheries. To address these challenges, we call for legal reforms that require settler-state governments to support Indigenous self-determination, to overcome the political risks politicians face when advocating for a non-majority group’s interests.
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- 2024
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48. Conditional essentiality of the 11-subunit complex I-like enzyme in strict anaerobes: the case of Desulfitobacterium hafniense strain DCB-2
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Mathilde Stéphanie Willemin, Florence Armand, Romain Hamelin, Julien Maillard, and Christof Holliger
- Subjects
complex I-like enzyme ,Desulfitobacterium ,energy metabolism ,bacterial respiration ,rotenone ,respiratory complex I ,Microbiology ,QR1-502 - Abstract
In oxidative phosphorylation, respiratory complex I serves as an entry point in the electron transport chain for electrons generated in catabolic processes in the form of NADH. An ancestral version of the complex, lacking the NADH-oxidising module, is encoded in a significant number of bacterial genomes. Amongst them is Desulfitobacterium hafniense, a strict anaerobe capable of conserving energy via organohalide respiration. This study investigates the role of the complex I-like enzyme in D. hafniense energy metabolism using rotenone as a specific complex I inhibitor under different growth conditions. The investigation revealed that the complex I-like enzyme was essential for growth with lactate and pyruvate but not in conditions involving H2 as an electron donor. In addition, a previously published proteomic dataset of strain DCB-2 was analysed to reveal the predominance of the complex under different growth conditions and to identify potential redox partners. This approach revealed seven candidates with expression patterns similar to Nuo homologues, suggesting the use of diverse electron sources. Based on these results, we propose a model where the complex I-like enzyme serves as an electron entry point into the respiratory chain for substrates delivering electrons within the cytoplasm, such as lactate or pyruvate, with ferredoxins shuttling electrons to the complex.
- Published
- 2024
- Full Text
- View/download PDF
49. Recherche-intervention-formation à la médiation linguistique et culturelle en contexte scolaire et transfrontalier franco-suisse : regards pluriels.
- Author
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Spomenka Alvir, Claire Langanné, Nathalie Thamin, Josianne Veillette, Afaf Boudebia-Baala, Sabrina Hezlaoui-Hamelin, Marisa Cavalli, and Daniel Coste
- Subjects
mediation ,school ,professional posture ,research-intervention-training ,border ,Special aspects of education ,LC8-6691 ,Theory and practice of education ,LB5-3640 - Abstract
Une recherche-intervention-formation axée sur la médiation interculturelle en contexte scolaire mobilise, depuis 2019, un partenariat entre la Haute école pédagogique des cantons de Berne, du Jura et de Neuchâtel (HEP-BEJUNE, Suisse), l’INSPE-UFC et le Centre académique pour la scolarisation des élèves allophones arrivants et des enfants issus de familles itinérantes et de voyageurs (CASNAV) de l’académie de Besançon (France). Dans cet article, les acteurs impliqués mettront en dialogue le contexte d’émergence, les enjeux et les conditions de mise en place d’une formation à la médiation scolaire d’une part, le point de vue de participantes ainsi que le rôle de la recherche d’autre part. Enfin, le projet interfrontalier sera interrogé à l’aune des notions de distance, d’écart et de frontière.
- Published
- 2024
- Full Text
- View/download PDF
50. Just the facts: precipitous deliveries in the emergency department
- Author
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Hamelin, Alexandra, Pascali, Dante, and Leppard, Jennifer
- Published
- 2023
- Full Text
- View/download PDF
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