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29,776 results on '"Desjardins A"'

1. Imitating Language via Scalable Inverse Reinforcement Learning

Author

Wulfmeier, Markus, Bloesch, Michael, Vieillard, Nino, Ahuja, Arun, Bornschein, Jorg, Huang, Sandy, Sokolov, Artem, Barnes, Matt, Desjardins, Guillaume, Bewley, Alex, Bechtle, Sarah Maria Elisabeth, Springenberg, Jost Tobias, Momchev, Nikola, Bachem, Olivier, Geist, Matthieu, and Riedmiller, Martin

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Statistics - Machine Learning
Abstract

The majority of language model training builds on imitation learning. It covers pretraining, supervised fine-tuning, and affects the starting conditions for reinforcement learning from human feedback (RLHF). The simplicity and scalability of maximum likelihood estimation (MLE) for next token prediction led to its role as predominant paradigm. However, the broader field of imitation learning can more effectively utilize the sequential structure underlying autoregressive generation. We focus on investigating the inverse reinforcement learning (IRL) perspective to imitation, extracting rewards and directly optimizing sequences instead of individual token likelihoods and evaluate its benefits for fine-tuning large language models. We provide a new angle, reformulating inverse soft-Q-learning as a temporal difference regularized extension of MLE. This creates a principled connection between MLE and IRL and allows trading off added complexity with increased performance and diversity of generations in the supervised fine-tuning (SFT) setting. We find clear advantages for IRL-based imitation, in particular for retaining diversity while maximizing task performance, rendering IRL a strong alternative on fixed SFT datasets even without online data generation. Our analysis of IRL-extracted reward functions further indicates benefits for more robust reward functions via tighter integration of supervised and preference-based LLM post-training.

Published
2024

2. PLIC-Net: A Machine Learning Approach for 3D Interface Reconstruction in Volume of Fluid Methods

Author

Cahaly, Andrew, Evrard, Fabien, and Desjardins, Olivier

Subjects
Physics - Computational Physics, Physics - Fluid Dynamics
Abstract

The accurate reconstruction of immiscible fluid-fluid interfaces from the volume fraction field is a critical component of geometric Volume of Fluid (VOF) methods. A common strategy is the Piecewise Linear Interface Calculation (PLIC), which fits a plane in each mixed-phase computational cell. However, recent work goes beyond PLIC by using two planes or even a paraboloid. To select such planes or paraboloids, complex optimization algorithms as well as carefully crafted heuristics are necessary. Yet, the potential exists for a well-trained machine learning model to efficiently provide broadly applicable solutions to the interface reconstruction problem at lower costs. In this work, the viability of a machine learning approach is demonstrated in the context of a single plane reconstruction. A feed-forward deep neural network is used to predict the normal vector of a PLIC plane given volume fraction and phasic barycenter data in a $3\times3\times3$ stencil. The PLIC plane is then translated in its cell to ensure exact volume conservation. Our proposed neural network PLIC reconstruction (PLIC-Net) is equivariant to reflections about the Cartesian planes. Training data is analytically generated with $\mathcal{O}(10^6)$ randomized paraboloid surfaces, which allows for sampling a wide range of interface shapes. PLIC-Net is tested in multiphase flow simulations where it is compared to standard (E)LVIRA reconstruction algorithms, and the impact of training data statistics on PLIC-Net's performance is also explored. It is found that PLIC-Net greatly limits the formation of spurious planes and generates cleaner numerical break-up of the interface. Additionally, the computational cost of PLIC-Net is lower than that of (E)LVIRA. These results establish that machine learning is a viable approach to VOF interface reconstruction and is superior to current reconstruction algorithms for some cases.

Published
2024
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3. Subgrid scale modeling of droplet bag breakup in VOF simulations

Author

Han, Austin and Desjardins, Olivier

Subjects
Physics - Fluid Dynamics
Abstract

The mesh-dependency of the breakup of liquid films, including their breakup length scales and resulting drop size distributions, has long been an obstacle inhibiting the computational modeling of large-scale spray systems. With the aim of overcoming this barrier, this work presents a framework for the prediction and modeling of subgrid-thickness liquid film formation and breakup within two-phase simulations using the volume of fluid method. A two-plane interface reconstruction is used to capture the development of liquid films as their thickness decreases below the mesh size. The breakup of the film is predicted with a semi-analytical model that incorporates the film geometry captured through the two-plane reconstruction. The framework is validated against experiments of the bag breakup of a liquid drop at $\text{We}=13.8$ through the comparison of the resulting drop size and velocity distributions. The generated distributions show good agreement with experimental results for drop resolutions as low as 25.6 cells across the initial diameter. The presented framework enables these drop breakup simulations to be performed at a computational cost three orders of magnitude lower than the cost of simulations utilizing adaptive mesh refinement.

Published
2024

4. Assessment of a Multiphase Formulation of One-Dimensional Turbulence using Direct Numerical Simulation of a Decaying Turbulent Interfacial Flow

Author

Movaghar, A., Chiodi, R., Oevermann, M., Desjardins, O., and Kerstein, A. R.

Subjects
Physics - Fluid Dynamics
Abstract

The interaction between turbulence and surface tension is studied numerically using the one-dimensional-turbulence (ODT) model. ODT is a stochastic model simulating turbulent flow evolution along a notional one-dimensional line of sight by applying instantaneous maps that represent the effects of individual turbulent eddies on property fields. It provides affordable high resolution of interface creation and property gradients within each phase, which are key for capturing the local behavior as well as overall trends, and has been shown to reproduce the main features of an experimentally determined regime diagram for primary jet breakup. Here, ODT is used to investigate the interaction of turbulence with an initially planar interface. The notional flat interface is inserted into a periodic box of decaying homogeneous isotropic turbulence, simulated for a variety of turbulent Reynolds and Weber numbers. Unity density and viscosity ratios serve to focus solely on the interaction between fluid inertia and the surface-tension force. Statistical measures of interface surface density and spatial structure along the direction normal to the initial surface are compared to corresponding direct-numerical-simulation (DNS) data. Allowing the origin of the lateral coordinate system to follow the location of the median interface element improves the agreement between ODT and DNS, reflecting the absence of lateral non-vortical displacements in ODT. Beyond the DNS-accessible regime, ODT is shown to obey the predicted parameter dependencies of the Kolmogorov critical scale in both the inertial and dissipative turbulent-cascade sub-ranges. Notably, the probability density function of local fluctuations of the critical scale is found to collapse to a universal curve across both sub-ranges., Comment: 15 pages, 13 figures

Published
2024

5. RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Author

Botev, Aleksandar, De, Soham, Smith, Samuel L, Fernando, Anushan, Muraru, George-Cristian, Haroun, Ruba, Berrada, Leonard, Pascanu, Razvan, Sessa, Pier Giuseppe, Dadashi, Robert, Hussenot, Léonard, Ferret, Johan, Girgin, Sertan, Bachem, Olivier, Andreev, Alek, Kenealy, Kathleen, Mesnard, Thomas, Hardin, Cassidy, Bhupatiraju, Surya, Pathak, Shreya, Sifre, Laurent, Rivière, Morgane, Kale, Mihir Sanjay, Love, Juliette, Tafti, Pouya, Joulin, Armand, Fiedel, Noah, Senter, Evan, Chen, Yutian, Srinivasan, Srivatsan, Desjardins, Guillaume, Budden, David, Doucet, Arnaud, Vikram, Sharad, Paszke, Adam, Gale, Trevor, Borgeaud, Sebastian, Chen, Charlie, Brock, Andy, Paterson, Antonia, Brennan, Jenny, Risdal, Meg, Gundluru, Raj, Devanathan, Nesh, Mooney, Paul, Chauhan, Nilay, Culliton, Phil, Martins, Luiz Gustavo, Bandy, Elisa, Huntsperger, David, Cameron, Glenn, Zucker, Arthur, Warkentin, Tris, Peran, Ludovic, Giang, Minh, Ghahramani, Zoubin, Farabet, Clément, Kavukcuoglu, Koray, Hassabis, Demis, Hadsell, Raia, Teh, Yee Whye, and de Frietas, Nando

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

We introduce RecurrentGemma, a family of open language models which uses Google's novel Griffin architecture. Griffin combines linear recurrences with local attention to achieve excellent performance on language. It has a fixed-sized state, which reduces memory use and enables efficient inference on long sequences. We provide two sizes of models, containing 2B and 9B parameters, and provide pre-trained and instruction tuned variants for both. Our models achieve comparable performance to similarly-sized Gemma baselines despite being trained on fewer tokens.

Published
2024

6. RACS and SADL: Towards Robust SMR in the Wide-Area Network

Author

Tennage, Pasindu, Desjardins, Antoine, and Kokoris-Kogias, Lefteris

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, C.5.0, C.4.1
Abstract

Consensus algorithms deployed in the crash fault tolerant setting chose a leader-based architecture in order to achieve the lowest latency possible. However, when deployed in the wide area they face two key robustness challenges. First, they lose liveness when the network is unreliable because they rely on timeouts to find a leader. Second, they cannot have a high replication factor because of the high load imposed on the leader-replica making it a bottleneck. This effectively limits the replication factor allowed, for a given level of throughput, thus lowering the fault tolerance threshold. In this paper, we propose RACS and SADL, a modular state machine replication algorithm that addresses these two robustness challenges. To achieve robustness under adversarial network conditions, we propose RACS, a novel crash fault-tolerant consensus algorithm. RACS consists of two modes of operations: synchronous and asynchronous, that always ensure liveness. RACS leverages the synchronous network to minimize the communication cost to O(n) and matches the lower bound of O(n2) at adversarial-case executions. To avoid the leader bottleneck and to allow higher replication factor, without sacrificing the throughput, we then propose SADL, a novel consensus-agnostic asynchronous dissemination layer. SADL separates client command dissemination from the critical path of consensus and distributes the overhead evenly among all the replicas. The combination of RACS and SADL (SADL-RACS) provides a robust and high-performing state machine replication system. We implement and evaluate RACS and SADL-RACS in a wide-area deployment running on Amazon EC2., Comment: arXiv admin note: text overlap with arXiv:2209.06152

Published
2024

7. Capturing thin structures in VOF simulations with two-plane reconstruction

Author

Han, Austin, Chiodi, Robert, and Desjardins, Olivier

Subjects
Physics - Fluid Dynamics, Physics - Computational Physics
Abstract

A novel interface reconstruction strategy for volume of fluid (VOF) methods is introduced that represents the liquid-gas interface as two planes that co-exist within a single computational cell. In comparison to the piecewise linear interface calculation (PLIC), this new algorithm greatly improves the accuracy of the reconstruction, in particular when dealing with thin structures such as films. The placement of the two planes requires the solution of a non-linear optimization problem in six dimensions, which has the potential to be overly expensive. An efficient solution to this optimization problem is presented here that exploits two key ideas: an algorithm for extracting multiple plane orientations from transported surface data, and an efficient and mass-conserving distance-finding algorithm that accounts for two planes with arbitrary orientation. Additionally, a simple and robust strategy is presented to accurately represent the surface tension forces produced at the interface of subgrid-thickness films. The performance of this new VOF reconstruction is demonstrated on several test cases that illustrate the capability to handle arbitrarily thin films.

Published
2024

8. Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Author

De, Soham, Smith, Samuel L., Fernando, Anushan, Botev, Aleksandar, Cristian-Muraru, George, Gu, Albert, Haroun, Ruba, Berrada, Leonard, Chen, Yutian, Srinivasan, Srivatsan, Desjardins, Guillaume, Doucet, Arnaud, Budden, David, Teh, Yee Whye, Pascanu, Razvan, De Freitas, Nando, and Gulcehre, Caglar

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language
Abstract

Recurrent neural networks (RNNs) have fast inference and scale efficiently on long sequences, but they are difficult to train and hard to scale. We propose Hawk, an RNN with gated linear recurrences, and Griffin, a hybrid model that mixes gated linear recurrences with local attention. Hawk exceeds the reported performance of Mamba on downstream tasks, while Griffin matches the performance of Llama-2 despite being trained on over 6 times fewer tokens. We also show that Griffin can extrapolate on sequences significantly longer than those seen during training. Our models match the hardware efficiency of Transformers during training, and during inference they have lower latency and significantly higher throughput. We scale Griffin up to 14B parameters, and explain how to shard our models for efficient distributed training., Comment: 25 pages, 11 figures

Published
2024

12. Simulating interfacial flows: a farewell to planes

Author

Evrard, Fabien, Chiodi, Robert, van Wachem, Berend, and Desjardins, Olivier

Subjects
Physics - Computational Physics, Physics - Fluid Dynamics
Abstract

Over the past decades, the volume-of-fluid (VOF) method has been the method of choice for simulating atomization processes, owing to its unique ability to discretely conserve mass. Current state-of-the-art VOF methods, however, rely on the piecewise-linear interface calculation (PLIC) to represent the interface used when calculating advection fluxes. This renders the estimated curvature of the transported interface zeroth-order accurate at best, adversely impacting the simulation of surface-tension-driven flows. In the past few years, there have been several attempts at using piecewise-parabolic interface approximations instead of piecewise-linear ones for computing advection fluxes, albeit all limited to two-dimensional cases or not inherently mass conservative. In this contribution, we present our most recent work on three-dimensional piecewise-parabolic interface reconstruction and apply it in the context of the VOF method. As a result of increasing the order of the interface representation, the reconstruction of the interface and the estimation of its curvature now become a single step instead of two separate ones. The performance of this new approach is assessed both in terms of accuracy and stability and compared to the classical PLIC-VOF approach on a range of canonical test-cases and cases of surface-tension-driven instabilities.

Published
2024

13. A call for clarity: Embracing the debate on pesticide regulation to protect pollinators

Author

Fisher, Adrian, Tadei, Rafaela, Berenbaum, May, Nieh, James, Siviter, Harry, Crall, James, Glass, Jordan R, Muth, Felicity, Liao, Ling-Hsiu, Traynor, Kirsten, DesJardins, Nicole, Nocelli, Roberta, Simon-Delso, Noa, and Harrison, Jon F

Subjects
Biological Sciences, Environmental Sciences, Ecology, Biological sciences, Environmental sciences
Published
2024

14. Gemini: A Family of Highly Capable Multimodal Models

Author

Gemini Team, Anil, Rohan, Borgeaud, Sebastian, Alayrac, Jean-Baptiste, Yu, Jiahui, Soricut, Radu, Schalkwyk, Johan, Dai, Andrew M., Hauth, Anja, Millican, Katie, Silver, David, Johnson, Melvin, Antonoglou, Ioannis, Schrittwieser, Julian, Glaese, Amelia, Chen, Jilin, Pitler, Emily, Lillicrap, Timothy, Lazaridou, Angeliki, Firat, Orhan, Molloy, James, Isard, Michael, Barham, Paul R., Hennigan, Tom, Lee, Benjamin, Viola, Fabio, Reynolds, Malcolm, Xu, Yuanzhong, Doherty, Ryan, Collins, Eli, Meyer, Clemens, Rutherford, Eliza, Moreira, Erica, Ayoub, Kareem, Goel, Megha, Krawczyk, Jack, Du, Cosmo, Chi, Ed, Cheng, Heng-Tze, Ni, Eric, Shah, Purvi, Kane, Patrick, Chan, Betty, Faruqui, Manaal, Severyn, Aliaksei, Lin, Hanzhao, Li, YaGuang, Cheng, Yong, Ittycheriah, Abe, Mahdieh, Mahdis, Chen, Mia, Sun, Pei, Tran, Dustin, Bagri, Sumit, Lakshminarayanan, Balaji, Liu, Jeremiah, Orban, Andras, Güra, Fabian, Zhou, Hao, Song, Xinying, Boffy, Aurelien, Ganapathy, Harish, Zheng, Steven, Choe, HyunJeong, Weisz, Ágoston, Zhu, Tao, Lu, Yifeng, Gopal, Siddharth, Kahn, Jarrod, Kula, Maciej, Pitman, Jeff, Shah, Rushin, Taropa, Emanuel, Merey, Majd Al, Baeuml, Martin, Chen, Zhifeng, Shafey, Laurent El, Zhang, Yujing, Sercinoglu, Olcan, Tucker, George, Piqueras, Enrique, Krikun, Maxim, Barr, Iain, Savinov, Nikolay, Danihelka, Ivo, Roelofs, Becca, White, Anaïs, Andreassen, Anders, von Glehn, Tamara, Yagati, Lakshman, Kazemi, Mehran, Gonzalez, Lucas, Khalman, Misha, Sygnowski, Jakub, Frechette, Alexandre, Smith, Charlotte, Culp, Laura, Proleev, Lev, Luan, Yi, Chen, Xi, Lottes, James, Schucher, Nathan, Lebron, Federico, Rrustemi, Alban, Clay, Natalie, Crone, Phil, Kocisky, Tomas, Zhao, Jeffrey, Perz, Bartek, Yu, Dian, Howard, Heidi, Bloniarz, Adam, Rae, Jack W., Lu, Han, Sifre, Laurent, Maggioni, Marcello, Alcober, Fred, Garrette, Dan, Barnes, Megan, Thakoor, Shantanu, Austin, Jacob, Barth-Maron, Gabriel, Wong, William, Joshi, Rishabh, Chaabouni, Rahma, Fatiha, Deeni, Ahuja, Arun, Tomar, Gaurav Singh, Senter, Evan, Chadwick, Martin, Kornakov, Ilya, Attaluri, Nithya, Iturrate, Iñaki, Liu, Ruibo, Li, Yunxuan, Cogan, Sarah, Chen, Jeremy, Jia, Chao, Gu, Chenjie, Zhang, Qiao, Grimstad, Jordan, Hartman, Ale Jakse, Garcia, Xavier, Pillai, Thanumalayan Sankaranarayana, Devlin, Jacob, Laskin, Michael, Casas, Diego de Las, Valter, Dasha, Tao, Connie, Blanco, Lorenzo, Badia, Adrià Puigdomènech, Reitter, David, Chen, Mianna, Brennan, Jenny, Rivera, Clara, Brin, Sergey, Iqbal, Shariq, Surita, Gabriela, Labanowski, Jane, Rao, Abhi, Winkler, Stephanie, Parisotto, Emilio, Gu, Yiming, Olszewska, Kate, Addanki, Ravi, Miech, Antoine, Louis, Annie, Teplyashin, Denis, Brown, Geoff, Catt, Elliot, Balaguer, Jan, Xiang, Jackie, Wang, Pidong, Ashwood, Zoe, Briukhov, Anton, Webson, Albert, Ganapathy, Sanjay, Sanghavi, Smit, Kannan, Ajay, Chang, Ming-Wei, Stjerngren, Axel, Djolonga, Josip, Sun, Yuting, Bapna, Ankur, Aitchison, Matthew, Pejman, Pedram, Michalewski, Henryk, Yu, Tianhe, Wang, Cindy, Love, Juliette, Ahn, Junwhan, Bloxwich, Dawn, Han, Kehang, Humphreys, Peter, Sellam, Thibault, Bradbury, James, Godbole, Varun, Samangooei, Sina, Damoc, Bogdan, Kaskasoli, Alex, Arnold, Sébastien M. R., Vasudevan, Vijay, Agrawal, Shubham, Riesa, Jason, Lepikhin, Dmitry, Tanburn, Richard, Srinivasan, Srivatsan, Lim, Hyeontaek, Hodkinson, Sarah, Shyam, Pranav, Ferret, Johan, Hand, Steven, Garg, Ankush, Paine, Tom Le, Li, Jian, Li, Yujia, Giang, Minh, Neitz, Alexander, Abbas, Zaheer, York, Sarah, Reid, Machel, Cole, Elizabeth, Chowdhery, Aakanksha, Das, Dipanjan, Rogozińska, Dominika, Nikolaev, Vitaliy, Sprechmann, Pablo, Nado, Zachary, Zilka, Lukas, Prost, Flavien, He, Luheng, Monteiro, Marianne, Mishra, Gaurav, Welty, Chris, Newlan, Josh, Jia, Dawei, Allamanis, Miltiadis, Hu, Clara Huiyi, de Liedekerke, Raoul, Gilmer, Justin, Saroufim, Carl, Rijhwani, Shruti, Hou, Shaobo, Shrivastava, Disha, Baddepudi, Anirudh, Goldin, Alex, Ozturel, Adnan, Cassirer, Albin, Xu, Yunhan, Sohn, Daniel, Sachan, Devendra, Amplayo, Reinald Kim, Swanson, Craig, Petrova, Dessie, Narayan, Shashi, Guez, Arthur, Brahma, Siddhartha, Landon, Jessica, Patel, Miteyan, Zhao, Ruizhe, Villela, Kevin, Wang, Luyu, Jia, Wenhao, Rahtz, Matthew, Giménez, Mai, Yeung, Legg, Keeling, James, Georgiev, Petko, Mincu, Diana, Wu, Boxi, Haykal, Salem, Saputro, Rachel, Vodrahalli, Kiran, Qin, James, Cankara, Zeynep, Sharma, Abhanshu, Fernando, Nick, Hawkins, Will, Neyshabur, Behnam, Kim, Solomon, Hutter, Adrian, Agrawal, Priyanka, Castro-Ros, Alex, Driessche, George van den, Wang, Tao, Yang, Fan, Chang, Shuo-yiin, Komarek, Paul, McIlroy, Ross, Lučić, Mario, Zhang, Guodong, Farhan, Wael, Sharman, Michael, Natsev, Paul, Michel, Paul, Bansal, Yamini, Qiao, Siyuan, Cao, Kris, Shakeri, Siamak, Butterfield, Christina, Chung, Justin, Rubenstein, Paul Kishan, Agrawal, Shivani, Mensch, Arthur, Soparkar, Kedar, Lenc, Karel, Chung, Timothy, Pope, Aedan, Maggiore, Loren, Kay, Jackie, Jhakra, Priya, Wang, Shibo, Maynez, Joshua, Phuong, Mary, Tobin, Taylor, Tacchetti, Andrea, Trebacz, Maja, Robinson, Kevin, Katariya, Yash, Riedel, Sebastian, Bailey, Paige, Xiao, Kefan, Ghelani, Nimesh, Aroyo, Lora, Slone, Ambrose, Houlsby, Neil, Xiong, Xuehan, Yang, Zhen, Gribovskaya, Elena, Adler, Jonas, Wirth, Mateo, Lee, Lisa, Li, Music, Kagohara, Thais, Pavagadhi, Jay, Bridgers, Sophie, Bortsova, Anna, Ghemawat, Sanjay, Ahmed, Zafarali, Liu, Tianqi, Powell, Richard, Bolina, Vijay, Iinuma, Mariko, Zablotskaia, Polina, Besley, James, Chung, Da-Woon, Dozat, Timothy, Comanescu, Ramona, Si, Xiance, Greer, Jeremy, Su, Guolong, Polacek, Martin, Kaufman, Raphaël Lopez, Tokumine, Simon, Hu, Hexiang, Buchatskaya, Elena, Miao, Yingjie, Elhawaty, Mohamed, Siddhant, Aditya, Tomasev, Nenad, Xing, Jinwei, Greer, Christina, Miller, Helen, Ashraf, Shereen, Roy, Aurko, Zhang, Zizhao, Ma, Ada, Filos, Angelos, Besta, Milos, Blevins, Rory, Klimenko, Ted, Yeh, Chih-Kuan, Changpinyo, Soravit, Mu, Jiaqi, Chang, Oscar, Pajarskas, Mantas, Muir, Carrie, Cohen, Vered, Lan, Charline Le, Haridasan, Krishna, Marathe, Amit, Hansen, Steven, Douglas, Sholto, Samuel, Rajkumar, Wang, Mingqiu, Austin, Sophia, Lan, Chang, Jiang, Jiepu, Chiu, Justin, Lorenzo, Jaime Alonso, Sjösund, Lars Lowe, Cevey, Sébastien, Gleicher, Zach, Avrahami, Thi, Boral, Anudhyan, Srinivasan, Hansa, Selo, Vittorio, May, Rhys, Aisopos, Konstantinos, Hussenot, Léonard, Soares, Livio Baldini, Baumli, Kate, Chang, Michael B., Recasens, Adrià, Caine, Ben, Pritzel, Alexander, Pavetic, Filip, Pardo, Fabio, Gergely, Anita, Frye, Justin, Ramasesh, Vinay, Horgan, Dan, Badola, Kartikeya, Kassner, Nora, Roy, Subhrajit, Dyer, Ethan, Campos, Víctor Campos, Tomala, Alex, Tang, Yunhao, Badawy, Dalia El, White, Elspeth, Mustafa, Basil, Lang, Oran, Jindal, Abhishek, Vikram, Sharad, Gong, Zhitao, Caelles, Sergi, Hemsley, Ross, Thornton, Gregory, Feng, Fangxiaoyu, Stokowiec, Wojciech, Zheng, Ce, Thacker, Phoebe, Ünlü, Çağlar, Zhang, Zhishuai, Saleh, Mohammad, Svensson, James, Bileschi, Max, Patil, Piyush, Anand, Ankesh, Ring, Roman, Tsihlas, Katerina, Vezer, Arpi, Selvi, Marco, Shevlane, Toby, Rodriguez, Mikel, Kwiatkowski, Tom, Daruki, Samira, Rong, Keran, Dafoe, Allan, FitzGerald, Nicholas, Gu-Lemberg, Keren, Khan, Mina, Hendricks, Lisa Anne, Pellat, Marie, Feinberg, Vladimir, Cobon-Kerr, James, Sainath, Tara, Rauh, Maribeth, Hashemi, Sayed Hadi, Ives, Richard, Hasson, Yana, Noland, Eric, Cao, Yuan, Byrd, Nathan, Hou, Le, Wang, Qingze, Sottiaux, Thibault, Paganini, Michela, Lespiau, Jean-Baptiste, Moufarek, Alexandre, Hassan, Samer, Shivakumar, Kaushik, van Amersfoort, Joost, Mandhane, Amol, Joshi, Pratik, Goyal, Anirudh, Tung, Matthew, Brock, Andrew, Sheahan, Hannah, Misra, Vedant, Li, Cheng, Rakićević, Nemanja, Dehghani, Mostafa, Liu, Fangyu, Mittal, Sid, Oh, Junhyuk, Noury, Seb, Sezener, Eren, Huot, Fantine, Lamm, Matthew, De Cao, Nicola, Chen, Charlie, Mudgal, Sidharth, Stella, Romina, Brooks, Kevin, Vasudevan, Gautam, Liu, Chenxi, Chain, Mainak, Melinkeri, Nivedita, Cohen, Aaron, Wang, Venus, Seymore, Kristie, Zubkov, Sergey, Goel, Rahul, Yue, Summer, Krishnakumaran, Sai, Albert, Brian, Hurley, Nate, Sano, Motoki, Mohananey, Anhad, Joughin, Jonah, Filonov, Egor, Kępa, Tomasz, Eldawy, Yomna, Lim, Jiawern, Rishi, Rahul, Badiezadegan, Shirin, Bos, Taylor, Chang, Jerry, Jain, Sanil, Padmanabhan, Sri Gayatri Sundara, Puttagunta, Subha, Krishna, Kalpesh, Baker, Leslie, Kalb, Norbert, Bedapudi, Vamsi, Kurzrok, Adam, Lei, Shuntong, Yu, Anthony, Litvin, Oren, Zhou, Xiang, Wu, Zhichun, Sobell, Sam, Siciliano, Andrea, Papir, Alan, Neale, Robby, Bragagnolo, Jonas, Toor, Tej, Chen, Tina, Anklin, Valentin, Wang, Feiran, Feng, Richie, Gholami, Milad, Ling, Kevin, Liu, Lijuan, Walter, Jules, Moghaddam, Hamid, Kishore, Arun, Adamek, Jakub, Mercado, Tyler, Mallinson, Jonathan, Wandekar, Siddhinita, Cagle, Stephen, Ofek, Eran, Garrido, Guillermo, Lombriser, Clemens, Mukha, Maksim, Sun, Botu, Mohammad, Hafeezul Rahman, Matak, Josip, Qian, Yadi, Peswani, Vikas, Janus, Pawel, Yuan, Quan, Schelin, Leif, David, Oana, Garg, Ankur, He, Yifan, Duzhyi, Oleksii, Älgmyr, Anton, Lottaz, Timothée, Li, Qi, Yadav, Vikas, Xu, Luyao, Chinien, Alex, Shivanna, Rakesh, Chuklin, Aleksandr, Li, Josie, Spadine, Carrie, Wolfe, Travis, Mohamed, Kareem, Das, Subhabrata, Dai, Zihang, He, Kyle, von Dincklage, Daniel, Upadhyay, Shyam, Maurya, Akanksha, Chi, Luyan, Krause, Sebastian, Salama, Khalid, Rabinovitch, Pam G, M, Pavan Kumar Reddy, Selvan, Aarush, Dektiarev, Mikhail, Ghiasi, Golnaz, Guven, Erdem, Gupta, Himanshu, Liu, Boyi, Sharma, Deepak, Shtacher, Idan Heimlich, Paul, Shachi, Akerlund, Oscar, Aubet, François-Xavier, Huang, Terry, Zhu, Chen, Zhu, Eric, Teixeira, Elico, Fritze, Matthew, Bertolini, Francesco, Marinescu, Liana-Eleonora, Bölle, Martin, Paulus, Dominik, Gupta, Khyatti, Latkar, Tejasi, Chang, Max, Sanders, Jason, Wilson, Roopa, Wu, Xuewei, Tan, Yi-Xuan, Thiet, Lam Nguyen, Doshi, Tulsee, Lall, Sid, Mishra, Swaroop, Chen, Wanming, Luong, Thang, Benjamin, Seth, Lee, Jasmine, Andrejczuk, Ewa, Rabiej, Dominik, Ranjan, Vipul, Styrc, Krzysztof, Yin, Pengcheng, Simon, Jon, Harriott, Malcolm Rose, Bansal, Mudit, Robsky, Alexei, Bacon, Geoff, Greene, David, Mirylenka, Daniil, Zhou, Chen, Sarvana, Obaid, Goyal, Abhimanyu, Andermatt, Samuel, Siegler, Patrick, Horn, Ben, Israel, Assaf, Pongetti, Francesco, Chen, Chih-Wei "Louis", Selvatici, Marco, Silva, Pedro, Wang, Kathie, Tolins, Jackson, Guu, Kelvin, Yogev, Roey, Cai, Xiaochen, Agostini, Alessandro, Shah, Maulik, Nguyen, Hung, Donnaile, Noah Ó, Pereira, Sébastien, Friso, Linda, Stambler, Adam, Kuang, Chenkai, Romanikhin, Yan, Geller, Mark, Yan, ZJ, Jang, Kane, Lee, Cheng-Chun, Fica, Wojciech, Malmi, Eric, Tan, Qijun, Banica, Dan, Balle, Daniel, Pham, Ryan, Huang, Yanping, Avram, Diana, Shi, Hongzhi, Singh, Jasjot, Hidey, Chris, Ahuja, Niharika, Saxena, Pranab, Dooley, Dan, Potharaju, Srividya Pranavi, O'Neill, Eileen, Gokulchandran, Anand, Foley, Ryan, Zhao, Kai, Dusenberry, Mike, Liu, Yuan, Mehta, Pulkit, Kotikalapudi, Ragha, Safranek-Shrader, Chalence, Goodman, Andrew, Kessinger, Joshua, Globen, Eran, Kolhar, Prateek, Gorgolewski, Chris, Ibrahim, Ali, Song, Yang, Eichenbaum, Ali, Brovelli, Thomas, Potluri, Sahitya, Lahoti, Preethi, Baetu, Cip, Ghorbani, Ali, Chen, Charles, Crawford, Andy, Pal, Shalini, Sridhar, Mukund, Gurita, Petru, Mujika, Asier, Petrovski, Igor, Cedoz, Pierre-Louis, Li, Chenmei, Chen, Shiyuan, Santo, Niccolò Dal, Goyal, Siddharth, Punjabi, Jitesh, Kappaganthu, Karthik, Kwak, Chester, LV, Pallavi, Velury, Sarmishta, Choudhury, Himadri, Hall, Jamie, Shah, Premal, Figueira, Ricardo, Thomas, Matt, Lu, Minjie, Zhou, Ting, Kumar, Chintu, Jurdi, Thomas, Chikkerur, Sharat, Ma, Yenai, Yu, Adams, Kwak, Soo, Ähdel, Victor, Rajayogam, Sujeevan, Choma, Travis, Liu, Fei, Barua, Aditya, Ji, Colin, Park, Ji Ho, Hellendoorn, Vincent, Bailey, Alex, Bilal, Taylan, Zhou, Huanjie, Khatir, Mehrdad, Sutton, Charles, Rzadkowski, Wojciech, Macintosh, Fiona, Shagin, Konstantin, Medina, Paul, Liang, Chen, Zhou, Jinjing, Shah, Pararth, Bi, Yingying, Dankovics, Attila, Banga, Shipra, Lehmann, Sabine, Bredesen, Marissa, Lin, Zifan, Hoffmann, John Eric, Lai, Jonathan, Chung, Raynald, Yang, Kai, Balani, Nihal, Bražinskas, Arthur, Sozanschi, Andrei, Hayes, Matthew, Alcalde, Héctor Fernández, Makarov, Peter, Chen, Will, Stella, Antonio, Snijders, Liselotte, Mandl, Michael, Kärrman, Ante, Nowak, Paweł, Wu, Xinyi, Dyck, Alex, Vaidyanathan, Krishnan, R, Raghavender, Mallet, Jessica, Rudominer, Mitch, Johnston, Eric, Mittal, Sushil, Udathu, Akhil, Christensen, Janara, Verma, Vishal, Irving, Zach, Santucci, Andreas, Elsayed, Gamaleldin, Davoodi, Elnaz, Georgiev, Marin, Tenney, Ian, Hua, Nan, Cideron, Geoffrey, Leurent, Edouard, Alnahlawi, Mahmoud, Georgescu, Ionut, Wei, Nan, Zheng, Ivy, Scandinaro, Dylan, Jiang, Heinrich, Snoek, Jasper, Sundararajan, Mukund, Wang, Xuezhi, Ontiveros, Zack, Karo, Itay, Cole, Jeremy, Rajashekhar, Vinu, Tumeh, Lara, Ben-David, Eyal, Jain, Rishub, Uesato, Jonathan, Datta, Romina, Bunyan, Oskar, Wu, Shimu, Zhang, John, Stanczyk, Piotr, Zhang, Ye, Steiner, David, Naskar, Subhajit, Azzam, Michael, Johnson, Matthew, Paszke, Adam, Chiu, Chung-Cheng, Elias, Jaume Sanchez, Mohiuddin, Afroz, Muhammad, Faizan, Miao, Jin, Lee, Andrew, Vieillard, Nino, Park, Jane, Zhang, Jiageng, Stanway, Jeff, Garmon, Drew, Karmarkar, Abhijit, Dong, Zhe, Lee, Jong, Kumar, Aviral, Zhou, Luowei, Evens, Jonathan, Isaac, William, Irving, Geoffrey, Loper, Edward, Fink, Michael, Arkatkar, Isha, Chen, Nanxin, Shafran, Izhak, Petrychenko, Ivan, Chen, Zhe, Jia, Johnson, Levskaya, Anselm, Zhu, Zhenkai, Grabowski, Peter, Mao, Yu, Magni, Alberto, Yao, Kaisheng, Snaider, Javier, Casagrande, Norman, Palmer, Evan, Suganthan, Paul, Castaño, Alfonso, Giannoumis, Irene, Kim, Wooyeol, Rybiński, Mikołaj, Sreevatsa, Ashwin, Prendki, Jennifer, Soergel, David, Goedeckemeyer, Adrian, Gierke, Willi, Jafari, Mohsen, Gaba, Meenu, Wiesner, Jeremy, Wright, Diana Gage, Wei, Yawen, Vashisht, Harsha, Kulizhskaya, Yana, Hoover, Jay, Le, Maigo, Li, Lu, Iwuanyanwu, Chimezie, Liu, Lu, Ramirez, Kevin, Khorlin, Andrey, Cui, Albert, LIN, Tian, Wu, Marcus, Aguilar, Ricardo, Pallo, Keith, Chakladar, Abhishek, Perng, Ginger, Abellan, Elena Allica, Zhang, Mingyang, Dasgupta, Ishita, Kushman, Nate, Penchev, Ivo, Repina, Alena, Wu, Xihui, van der Weide, Tom, Ponnapalli, Priya, Kaplan, Caroline, Simsa, Jiri, Li, Shuangfeng, Dousse, Olivier, Piper, Jeff, Ie, Nathan, Pasumarthi, Rama, Lintz, Nathan, Vijayakumar, Anitha, Andor, Daniel, Valenzuela, Pedro, Lui, Minnie, Paduraru, Cosmin, Peng, Daiyi, Lee, Katherine, Zhang, Shuyuan, Greene, Somer, Nguyen, Duc Dung, Kurylowicz, Paula, Hardin, Cassidy, Dixon, Lucas, Janzer, Lili, Choo, Kiam, Feng, Ziqiang, Zhang, Biao, Singhal, Achintya, Du, Dayou, McKinnon, Dan, Antropova, Natasha, Bolukbasi, Tolga, Keller, Orgad, Reid, David, Finchelstein, Daniel, Raad, Maria Abi, Crocker, Remi, Hawkins, Peter, Dadashi, Robert, Gaffney, Colin, Franko, Ken, Bulanova, Anna, Leblond, Rémi, Chung, Shirley, Askham, Harry, Cobo, Luis C., Xu, Kelvin, Fischer, Felix, Xu, Jun, Sorokin, Christina, Alberti, Chris, Lin, Chu-Cheng, Evans, Colin, Dimitriev, Alek, Forbes, Hannah, Banarse, Dylan, Tung, Zora, Omernick, Mark, Bishop, Colton, Sterneck, Rachel, Jain, Rohan, Xia, Jiawei, Amid, Ehsan, Piccinno, Francesco, Wang, Xingyu, Banzal, Praseem, Mankowitz, Daniel J., Polozov, Alex, Krakovna, Victoria, Brown, Sasha, Bateni, MohammadHossein, Duan, Dennis, Firoiu, Vlad, Thotakuri, Meghana, Natan, Tom, Geist, Matthieu, Girgin, Ser tan, Li, Hui, Ye, Jiayu, Roval, Ofir, Tojo, Reiko, Kwong, Michael, Lee-Thorp, James, Yew, Christopher, Sinopalnikov, Danila, Ramos, Sabela, Mellor, John, Sharma, Abhishek, Wu, Kathy, Miller, David, Sonnerat, Nicolas, Vnukov, Denis, Greig, Rory, Beattie, Jennifer, Caveness, Emily, Bai, Libin, Eisenschlos, Julian, Korchemniy, Alex, Tsai, Tomy, Jasarevic, Mimi, Kong, Weize, Dao, Phuong, Zheng, Zeyu, Liu, Frederick, Zhu, Rui, Teh, Tian Huey, Sanmiya, Jason, Gladchenko, Evgeny, Trdin, Nejc, Toyama, Daniel, Rosen, Evan, Tavakkol, Sasan, Xue, Linting, Elkind, Chen, Woodman, Oliver, Carpenter, John, Papamakarios, George, Kemp, Rupert, Kafle, Sushant, Grunina, Tanya, Sinha, Rishika, Talbert, Alice, Wu, Diane, Owusu-Afriyie, Denese, Thornton, Chloe, Pont-Tuset, Jordi, Narayana, Pradyumna, Li, Jing, Fatehi, Saaber, Wieting, John, Ajmeri, Omar, Uria, Benigno, Ko, Yeongil, Knight, Laura, Héliou, Amélie, Niu, Ning, Gu, Shane, Pang, Chenxi, Li, Yeqing, Levine, Nir, Stolovich, Ariel, Santamaria-Fernandez, Rebeca, Goenka, Sonam, Yustalim, Wenny, Strudel, Robin, Elqursh, Ali, Deck, Charlie, Lee, Hyo, Li, Zonglin, Levin, Kyle, Hoffmann, Raphael, Holtmann-Rice, Dan, Bachem, Olivier, Arora, Sho, Koh, Christy, Yeganeh, Soheil Hassas, Põder, Siim, Tariq, Mukarram, Sun, Yanhua, Ionita, Lucian, Seyedhosseini, Mojtaba, Tafti, Pouya, Liu, Zhiyu, Gulati, Anmol, Liu, Jasmine, Ye, Xinyu, Chrzaszcz, Bart, Wang, Lily, Sethi, Nikhil, Li, Tianrun, Brown, Ben, Singh, Shreya, Fan, Wei, Parisi, Aaron, Stanton, Joe, Koverkathu, Vinod, Choquette-Choo, Christopher A., Li, Yunjie, Lu, TJ, Shroff, Prakash, Varadarajan, Mani, Bahargam, Sanaz, Willoughby, Rob, Gaddy, David, Desjardins, Guillaume, Cornero, Marco, Robenek, Brona, Mittal, Bhavishya, Albrecht, Ben, Shenoy, Ashish, Moiseev, Fedor, Jacobsson, Henrik, Ghaffarkhah, Alireza, Rivière, Morgane, Walton, Alanna, Crepy, Clément, Parrish, Alicia, Zhou, Zongwei, Farabet, Clement, Radebaugh, Carey, Srinivasan, Praveen, van der Salm, Claudia, Fidjeland, Andreas, Scellato, Salvatore, Latorre-Chimoto, Eri, Klimczak-Plucińska, Hanna, Bridson, David, de Cesare, Dario, Hudson, Tom, Mendolicchio, Piermaria, Walker, Lexi, Morris, Alex, Mauger, Matthew, Guseynov, Alexey, Reid, Alison, Odoom, Seth, Loher, Lucia, Cotruta, Victor, Yenugula, Madhavi, Grewe, Dominik, Petrushkina, Anastasia, Duerig, Tom, Sanchez, Antonio, Yadlowsky, Steve, Shen, Amy, Globerson, Amir, Webb, Lynette, Dua, Sahil, Li, Dong, Bhupatiraju, Surya, Hurt, Dan, Qureshi, Haroon, Agarwal, Ananth, Shani, Tomer, Eyal, Matan, Khare, Anuj, Belle, Shreyas Rammohan, Wang, Lei, Tekur, Chetan, Kale, Mihir Sanjay, Wei, Jinliang, Sang, Ruoxin, Saeta, Brennan, Liechty, Tyler, Sun, Yi, Zhao, Yao, Lee, Stephan, Nayak, Pandu, Fritz, Doug, Vuyyuru, Manish Reddy, Aslanides, John, Vyas, Nidhi, Wicke, Martin, Ma, Xiao, Eltyshev, Evgenii, Martin, Nina, Cate, Hardie, Manyika, James, Amiri, Keyvan, Kim, Yelin, Xiong, Xi, Kang, Kai, Luisier, Florian, Tripuraneni, Nilesh, Madras, David, Guo, Mandy, Waters, Austin, Wang, Oliver, Ainslie, Joshua, Baldridge, Jason, Zhang, Han, Pruthi, Garima, Bauer, Jakob, Yang, Feng, Mansour, Riham, Gelman, Jason, Xu, Yang, Polovets, George, Liu, Ji, Cai, Honglong, Chen, Warren, Sheng, XiangHai, Xue, Emily, Ozair, Sherjil, Angermueller, Christof, Li, Xiaowei, Sinha, Anoop, Wang, Weiren, Wiesinger, Julia, Koukoumidis, Emmanouil, Tian, Yuan, Iyer, Anand, Gurumurthy, Madhu, Goldenson, Mark, Shah, Parashar, Blake, MK, Yu, Hongkun, Urbanowicz, Anthony, Palomaki, Jennimaria, Fernando, Chrisantha, Durden, Ken, Mehta, Harsh, Momchev, Nikola, Rahimtoroghi, Elahe, Georgaki, Maria, Raul, Amit, Ruder, Sebastian, Redshaw, Morgan, Lee, Jinhyuk, Zhou, Denny, Jalan, Komal, Li, Dinghua, Hechtman, Blake, Schuh, Parker, Nasr, Milad, Milan, Kieran, Mikulik, Vladimir, Franco, Juliana, Green, Tim, Nguyen, Nam, Kelley, Joe, Mahendru, Aroma, Hu, Andrea, Howland, Joshua, Vargas, Ben, Hui, Jeffrey, Bansal, Kshitij, Rao, Vikram, Ghiya, Rakesh, Wang, Emma, Ye, Ke, Sarr, Jean Michel, Preston, Melanie Moranski, Elish, Madeleine, Li, Steve, Kaku, Aakash, Gupta, Jigar, Pasupat, Ice, Juan, Da-Cheng, Someswar, Milan, M., Tejvi, Chen, Xinyun, Amini, Aida, Fabrikant, Alex, Chu, Eric, Dong, Xuanyi, Muthal, Amruta, Buthpitiya, Senaka, Jauhari, Sarthak, Khandelwal, Urvashi, Hitron, Ayal, Ren, Jie, Rinaldi, Larissa, Drath, Shahar, Dabush, Avigail, Jiang, Nan-Jiang, Godhia, Harshal, Sachs, Uli, Chen, Anthony, Fan, Yicheng, Taitelbaum, Hagai, Noga, Hila, Dai, Zhuyun, Wang, James, Hamer, Jenny, Ferng, Chun-Sung, Elkind, Chenel, Atias, Aviel, Lee, Paulina, Listík, Vít, Carlen, Mathias, van de Kerkhof, Jan, Pikus, Marcin, Zaher, Krunoslav, Müller, Paul, Zykova, Sasha, Stefanec, Richard, Gatsko, Vitaly, Hirnschall, Christoph, Sethi, Ashwin, Xu, Xingyu Federico, Ahuja, Chetan, Tsai, Beth, Stefanoiu, Anca, Feng, Bo, Dhandhania, Keshav, Katyal, Manish, Gupta, Akshay, Parulekar, Atharva, Pitta, Divya, Zhao, Jing, Bhatia, Vivaan, Bhavnani, Yashodha, Alhadlaq, Omar, Li, Xiaolin, Danenberg, Peter, Tu, Dennis, Pine, Alex, Filippova, Vera, Ghosh, Abhipso, Limonchik, Ben, Urala, Bhargava, Lanka, Chaitanya Krishna, Clive, Derik, Li, Edward, Wu, Hao, Hongtongsak, Kevin, Li, Ianna, Thakkar, Kalind, Omarov, Kuanysh, Majmundar, Kushal, Alverson, Michael, Kucharski, Michael, Patel, Mohak, Jain, Mudit, Zabelin, Maksim, Pelagatti, Paolo, Kohli, Rohan, Kumar, Saurabh, Kim, Joseph, Sankar, Swetha, Shah, Vineet, Ramachandruni, Lakshmi, Zeng, Xiangkai, Bariach, Ben, Weidinger, Laura, Vu, Tu, Andreev, Alek, He, Antoine, Hui, Kevin, Kashem, Sheleem, Subramanya, Amar, Hsiao, Sissie, Hassabis, Demis, Kavukcuoglu, Koray, Sadovsky, Adam, Le, Quoc, Strohman, Trevor, Wu, Yonghui, Petrov, Slav, Dean, Jeffrey, and Vinyals, Oriol

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks - notably being the first model to achieve human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of the Gemini family in cross-modal reasoning and language understanding will enable a wide variety of use cases. We discuss our approach toward post-training and deploying Gemini models responsibly to users through services including Gemini, Gemini Advanced, Google AI Studio, and Cloud Vertex AI.

Published
2023

15. Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data

Author

Simonetto, Thibault, Ghamizi, Salah, Desjardins, Antoine, Cordy, Maxime, and Traon, Yves Le

Subjects
Computer Science - Machine Learning
Abstract

State-of-the-art deep learning models for tabular data have recently achieved acceptable performance to be deployed in industrial settings. However, the robustness of these models remains scarcely explored. Contrary to computer vision, there is to date no realistic protocol to properly evaluate the adversarial robustness of deep tabular models due to intrinsic properties of tabular data such as categorical features, immutability, and feature relationship constraints. To fill this gap, we propose CAA, the first efficient evasion attack for constrained tabular deep learning models. CAA is an iterative parameter-free attack that combines gradient and search attacks to generate adversarial examples under constraints. We leverage CAA to build a benchmark of deep tabular models across three popular use cases: credit scoring, phishing and botnet attacks detection. Our benchmark supports ten threat models with increasing capabilities of the attacker, and reflects real-world attack scenarios for each use case. Overall, our results demonstrate how domain knowledge, adversarial training, and attack budgets impact the robustness assessment of deep tabular models and provide security practitioners with a set of recommendations to improve the robustness of deep tabular models against various evasion attack scenarios.

Published
2023

16. High-Fidelity Multi-Scale Simulation of Swirled Air-blast Atomization with Comparison against Experiments

Author

Bruni, Lorenzo and Desjardins, Olivier

Subjects
Physics - Fluid Dynamics
Abstract

In liquid-fueled combustion systems, optimization of the fuel atomization process is critical to reducing fuel consumption and lowering pollutant emissions. Accurate and efficient computational modeling of liquid atomization can open the door to spray optimization, however it presents a significant challenge to modelers due to the extremely complex flow field and wide range of length and time scales involved. In this work, a multi-scale and multi-domain simulation strategy is used to model end-to-end the turbulent spray produced by a swirled two-fluid coaxial atomizer, a device that utilize a high-speed swirled gas stream to destabilize a co-flowing low-speed liquid, widely used in systems such as fuel injectors. Our computational method relies on sub-grid scale modeling; in particular, we will introduce a thin structure break-up model to account for topology changes, converting thin liquid structures into spherical Lagrangian particles. With such simulations, the impact of swirl on the break-up process can be analyzed by varying the swirl ratio, and we aim to quantitatively validate our simulations against experiments at identical operating conditions, including drop size statistics., Comment: 8 pages, 12 figures. Conference: 33rd Annual Conference on Liquid Atomization and Spray Systems (ILASS-Americas 2023)

Published
2023

17. A Phase II single-arm trial of palonosetron for the prevention of acute and delayed chemotherapy-induced nausea and vomiting in malignant glioma patients receiving multidose irinotecan in combination with bevacizumab

Author

Affronti ML, Woodring S, Peters KB, Herndon II JE, McSherry F, Healy PN, Desjardins A, Vredenburgh JJ, and Friedman HS

Subjects
Chemotherapy, Nausea, Chemotherapy-induced nausea and vomiting, Antiemetic guidelines, Evidence-based practice, Glioma, Therapeutics. Pharmacology, RM1-950
Abstract

Mary Lou Affronti,1–3 Sarah Woodring,1,2 Katherine B Peters,1,4 James E Herndon II,5 Frances McSherry,5 Patrick N Healy,5 Annick Desjardins,1,4 James J Vredenburgh,6 Henry S Friedman1,2 1The Preston Robert Tisch Brain Tumor Center at Duke, South Hospital, Duke University Medical Center, 2Department of Neurosurgery, Duke University Health System, 3Duke University School of Nursing, 4Department of Neurology, 5Department of Biostatistics and Bioinformatics, Duke University Health System, Durham, NC, 6Saint Francis Cancer Center, Hartford, CT, USA Purpose: Given that the prognosis of recurrent malignant glioma (MG) remains poor, improving quality of life (QoL) through symptom management is important. Meta-analyses establishing antiemetic guidelines have demonstrated the superiority of palonosetron (PAL) over older 5-hydroxytryptamine 3-receptor antagonists in chemotherapy-induced nausea and vomiting (CINV) prevention, but excluded patients with gliomas. Irinotecan plus bevacizumab is a treatment frequently used in MG, but is associated with low (55%) CINV complete response (CR; no emesis or use of rescue antiemetic) with commonly prescribed ondansetron. A single-arm Phase II trial was conducted in MG patients to determine the efficacy of intravenous PAL (0.25 mg) and dexamethasone (DEX; 10 mg) received in conjunction with biweekly irinotecan–bevacizumab treatment. The primary end point was the proportion of subjects achieving acute CINV CR (no emesis or antiemetic ≤24 hours postchemotherapy). Secondary end points included delayed CINV CR (days 2–5), overall CINV CR (days 1–5), and QoL, fatigue, and toxicity.Materials and methods: A two-stage design of 160 patients was planned to differentiate between CINV CR of 55% and 65% after each dose of PAL–DEX. Validated surveys assessed fatigue and QoL.Results: A total of 63 patients were enrolled, after which enrollment was terminated due to slow accrual; 52 patients were evaluable for the primary outcome of acute CINV CR. Following PAL–DEX dose administrations 1–3, acute CINV CR rates were 62%, 68%, and 70%; delayed CINV CR rates were 62%, 66%, and 70%, and overall CINV CR rates were 47%, 57%, and 62%, respectively. Compared to baseline, there was a clinically meaningful increase in fatigue during acute and overall phases, but not in the delayed phase. There were no grade ≥3 PAL–DEX treatment-related toxicities.Conclusion: Data suggest that PAL–DEX is effective in preventing CINV in MG patients, which ultimately maintains the QoL of patients with glioma. Keywords: chemotherapy, nausea, chemotherapy-induced nausea and vomiting, antiemetic guidelines, evidence-based practice, glioma

Published
2016

18. Mapping the DeFi Crime Landscape: An Evidence-based Picture

Author

Carpentier-Desjardins, Catherine, Paquet-Clouston, Masarah, Kitzler, Stefan, and Haslhofer, Bernhard

Subjects
Computer Science - Cryptography and Security, Computer Science - Computers and Society
Abstract

Over the past years, decentralized finance (DeFi) has been the target of numerous profit-driven crimes. However, until now, the full prevalence and cumulative impact of these crimes have not been assessed. This study provides a first comprehensive assessment of profit-driven crimes targeting the DeFi sector. To achieve this, we collected data on 1155 crime events from 2017 to 2022. Of these, 1050 were related to the DeFi industry and 105 to the centralized finance (CeFi) industry. Focusing on the former, a taxonomy was developed to clarify the similarities and differences among these crimes. All events were mapped onto the DeFi stack to assess the impacted technical layers, and the financial damages were quantified to gauge their scale. The findings show that the entire cryptoasset industry has suffered a minimum loss of US$30B, with two thirds related to centralized finance (CeFi) and one third to DeFi. Focusing solely on the latter, the results highlight that during an attack, a DeFi actor (an entity developing a DeFi technology) can serve as a direct target, as a perpetrator, or as an intermediary. The findings show that DeFi actors are the first victims of crimes targeting the DeFi industry: 52% of crime events targeted them, primarily due to technical vulnerabilities at the protocol layer, and these events accounted for 83% of all recorded financial damages. On the other hand, in 40% of crime events, DeFi actors were themselves malicious perpetrators, predominantly misusing contracts at the cryptoasset layer (e.g., rug pull scams). However, these events accounted for only 17% of all financial damages. The study's findings offer a preliminary assessment of the size and scope of crime events within the DeFi sector and highlight the vulnerable position of DeFi actors in the ecosystem.

Published
2023

19. APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT

Author

Galler, Hadar Schreiber, Zahavy, Tom, Desjardins, Guillaume, and Cohen, Alon

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

We study diverse skill discovery in reward-free environments, aiming to discover all possible skills in simple grid-world environments where prior methods have struggled to succeed. This problem is formulated as mutual training of skills using an intrinsic reward and a discriminator trained to predict a skill given its trajectory. Our initial solution replaces the standard one-vs-all (softmax) discriminator with a one-vs-one (all pairs) discriminator and combines it with a novel intrinsic reward function and a dropout regularization technique. The combined approach is named APART: Diverse Skill Discovery using All Pairs with Ascending Reward and Dropout. We demonstrate that APART discovers all the possible skills in grid worlds with remarkably fewer samples than previous works. Motivated by the empirical success of APART, we further investigate an even simpler algorithm that achieves maximum skills by altering VIC, rescaling its intrinsic reward, and tuning the temperature of its softmax discriminator. We believe our findings shed light on the crucial factors underlying success of skill discovery algorithms in reinforcement learning.

Published
2023

20. Breaking the cycle: Reforming pesticide regulation to protect pollinators

Author

Fisher, Adrian, Tadei, Rafaela, Berenbaum, May, Nieh, James, Siviter, Harry, Crall, James, Glass, Jordan R, Muth, Felicity, Liao, Ling-Hsiu, Traynor, Kirsten, DesJardins, Nicole, Nocelli, Roberta, Simon-Delso, Noa, and Harrison, Jon F

Subjects
Environmental Sciences, pollinators, pesticides, policy, regulation, sustainability, Biological Sciences, Ecology, Biological sciences, Environmental sciences
Abstract

Over decades, pesticide regulations have cycled between approval and implementation, followed by the discovery of negative effects on nontarget organisms that result in new regulations, pesticides, and harmful effects. This relentless pattern undermines the capacity to protect the environment from pesticide hazards and frustrates end users that need pest management tools. Wild pollinating insects are in decline, and managed pollinators such as honey bees are experiencing excessive losses, which threatens sustainable food security and ecosystem function. An increasing number of studies demonstrate the negative effects of field-realistic exposure to pesticides on pollinator health and fitness, which contribute to pollinator declines. Current pesticide approval processes, although they are superior to past practices, clearly continue to fail to protect pollinator health. In the present article, we provide a conceptual framework to reform cyclical pesticide approval processes and better protect pollinators.

Published
2023

23. Full and Partial Facial Affect Recognition in Pediatric Brain Tumour Survivors and Typically Developing Children Following COVID-19 Pandemic

Author

Laurianne Buron, Sébastien Perreault, Serge Sultan, Marco Bonanno, Hallie Coltin, Caroline Laverdière, Émélie Rondeau, and Leandra Desjardins

Subjects
social competence, facial affect recognition, pediatric brain tumour, survivorship, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Affect recognition has emerged as a potential mechanism underlying the social competence challenges experienced by pediatric brain tumour survivors (PBTSs). However, many social interactions were altered during the pandemic, with the widespread use of masking potentially impacting affect recognition abilities. Here, we examine affect recognition in PBTSs and typically developing youth (TD) after the onset of the global pandemic. Twenty-three PBTSs and 24 TD between 8 and 16 years old were recruited and completed two performance-based affect recognition tasks (full and partial facial features) and a self-reported questionnaire on mask exposure in their social interactions. Their parents completed parent proxy questionnaires on their child’s social adjustment and sociodemographics. The scores between the PBTSs and TD did not differ significantly in full (t(45) = 1.33, p = 0.19, d = 0.39, 95% CI [−0.69, 3.40]) or partial (t(37.36) = 1.56, p = 0.13, d = 0.46, 95% CI [−0.47, 3.60]) affect recognition, suggesting similar affect recognition between the two groups. These skills were also not significantly correlated with social adjustment or mask exposure (p > 0.05). However, the combined sample had significantly better scores in affect recognition when exposed to partial facial cues versus full. Additionally, participants obtained lower scores on a measure of full facial affect recognition and higher scores on a measure of partial affect recognition compared to pre-pandemic data. The pandemic may have influenced affect recognition across youth, underscoring the importance of further research into its lasting impact on the social competence of youth.

Published
2024
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24. A real-world observation of patients with glioblastoma treated with a personalized peptide vaccine

Author

Pauline Latzer, Henning Zelba, Florian Battke, Annekathrin Reinhardt, Borong Shao, Oliver Bartsch, Armin Rabsteyn, Johannes Harter, Martin Schulze, Thomas Okech, Alexander Golf, Christina Kyzirakos-Feger, Simone Kayser, Natalia Pieper, Magdalena Feldhahn, Julian Wünsche, Christian Seitz, Dirk Hadaschik, Claus Garbe, Till-Karsten Hauser, Christian la Fougère, Dirk Biskup, Dawn Brooke, David Parker, Uwe M. Martens, Gerald Illerhaus, Deborah T. Blumenthal, Ryan Merrell, Luisa Sánchez Lorenzo, Máté Hidvégi, Paula de Robles, Sied Kebir, William W. Li, Vincent W. Li, Matthew Williams, Alexandra M. Miller, Santosh Kesari, Michael Castro, Annick Desjardins, David M. Ashley, Henry S. Friedman, Patrick Y. Wen, Elisabeth C. Neil, Fabio M. Iwamoto, Bence Sipos, Karsten Geletneky, Lars Zender, Martin Glas, David A. Reardon, and Saskia Biskup

Subjects
Science
Abstract

Abstract Current treatment outcome of patients with glioblastoma (GBM) remains poor. Following standard therapy, recurrence is universal with limited survival. Tumors from 173 GBM patients are analysed for somatic mutations to generate a personalized peptide vaccine targeting tumor-specific neoantigens. All patients were treated within the scope of an individual healing attempt. Among all vaccinated patients, including 70 treated prior to progression (primary) and 103 treated after progression (recurrent), the median overall survival from first diagnosis is 31.9 months (95% CI: 25.0–36.5). Adverse events are infrequent and are predominantly grade 1 or 2. A vaccine-induced immune response to at least one of the vaccinated peptides is detected in blood samples of 87 of 97 (90%) monitored patients. Vaccine-specific T-cell responses are durable in most patients. Significantly prolonged survival is observed for patients with multiple vaccine-induced T-cell responses (53 months) compared to those with no/low induced responses (27 months; P = 0.03). Altogether, our results highlight that the application of personalized neoantigen-targeting peptide vaccine is feasible and represents a promising potential treatment option for GBM patients.

Published
2024
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25. Le rôle infirmier en santé mentale en hématologie-oncologie pédiatrique - Partie 1: Développement d'une pratique infirmière novatrice

Author

Pascal Bernier, Leandra Desjardins, Marie-Claude Charette, Marie-Paule Latour, and Marie-Pierre Bastien

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Introduction : La maladie hématologique-oncologique pédiatrique implique de nombreux défis adaptatifs. Conséquemment, des problèmes de santé mentale font parfois surface durant ou après les traitements, et ce, tant chez les jeunes que chez leurs parents. La prise en charge actuelle de ces problèmes ne semblait pas correspondre aux besoins soulevés par certains jeunes. Le rôle infirmier au Québec permet l’évaluation et la prise en charge de personnes souffrant d’un trouble de la santé physique et mentale (Ordre des infirmières et infirmiers du Québec, 2016). Ainsi, un infirmier clinicien en santé mentale possédant également de l’expérience en hématologie-oncologie pourrait offrir des soins complémentaires aux soins des psychologues, travailleurs sociaux et autres intervenants psychosociaux présents dans le service d’hématologie-oncologie et possiblement répondre à des besoins non comblés chez certains jeunes. Le projet lié au rôle de l’ICSM se fera en trois étapes : 1) le développement du rôle, 2) l’implantation, et 3) l’évaluation réalisée un an après l’implantation. L’objectif de cette première partie est de présenter la méthode utilisée pour développer le rôle de l’ICSM. Méthodologie : Le modèle a été fait en respectant la structure proposée par le cadre PEPPA (Participatory, Evidence-based, Patient-focused Process for APN role development, implementation and evaluation; Bryant-Lukosius et Dicenso, 2004). Les cinq premières étapes de ce cadre ont été utilisé pour cette première partie du projet en lien avec le développement du rôle de l’ICSM. Celles-ci sont : 1) définir la population cible; 2) définir les acteurs-clés à impliquer; 3) cibler les besoins; 4) cerner et prioriser les problèmes ainsi que fixer les objectifs; 5) définir le nouveau modèle de rôle. Résultats : Au terme de plusieurs rencontres impliquant de nombreux professionnels de la santé et des gestionnaires, un rôle d’ICSM a été développé avec une perspective flexible et transdisciplinaire afin de mieux répondre aux besoins des jeunes atteints de cancer et de leur famille (notamment des adolescents). Ce rôle a été définit selon quatre axes de pratique : 1) l’intervention auprès du patient-famille; 2) l’intervention auprès des équipes; 3) la consultation-liaison psychiatrique; 4) la formation, l’enseignement et la recherche. Conclusion : Les prochaines étapes consisteront en la mise en application d’un plan stratégique d’implantation et l’évaluation des retombées après un d’implantation.

Published
2024
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26. Le rôle infirmier en santé mentale en hémato-oncologie pédiatrique. Partie 2 : Stratégie d'implantation d'une pratique novatrice

Author

Pascal Bernier, Leandra Desjardins, and Marie-Claude Charette

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

But : Le but de cette étude est de définir le processus d’implantation et d’évaluation préliminaire d’une pratique infirmière novatrice en santé mentale dans un programme d’hématologie-oncologie pédiatrique. Cette approche permettra par le fait même d’évaluer de façon préliminaire si la stratégie d’implantation était appropriée. Contexte : Le cancer pédiatrique implique de nombreux défis adaptatifs pour les patients et leur famille. Pour plusieurs, des problèmes de santé mentale font surface pendant ou après les traitements. Un infirmier clinicien en santé mentale possédant également une expertise en hémato-oncologie contribuera à la prise en charge des patients et de leur famille en offrant une vision complémentaire aux approches psychosociales. Comme les changements de pratique sont souvent difficiles et que l’introduction d’un rôle sans plan d’implantation clairement défini mène parfois à un échec, une structure d’implantation s’avérait nécessaire. La création du rôle d’infirmier clinicien en santé mentale au programme d’hématologie-oncologie pédiatrique (ICSM) comprend trois phases : 1) le développement du rôle; 2) la stratégie d’implantation; 3) l’évaluation de la faisabilité, de l’acceptabilité et de l’appréciation, à réaliser un an après l’implantation. Cet article explicite la deuxième partie du projet. Or, les objectifs du présent article sont : 1) présenter la stratégie d’implantation du rôle de l’ICSM employée; et 2) une évaluation préliminaire exploratoire de la faisabilité, de l’acceptabilité et de l’appréciation trois mois suivant l’implantation. Méthode : La stratégie d’implantation utilisée est tirée de l’approche proposée parFry et Rogers (2009), approche que nous avons adaptée au contexte de la présente étude. Les cinq étapes de l’approche sont : 1) les stratégies de communication; 2) le processus de consultation pour définir le rôle et l’étendue de la pratique; 3) l’éducation; 4) la définition des structures de support; 5) l’évaluation et les mécanismes de rétroaction. Cette dernière étape en est une d’évaluation préliminaire exploratoire réalisée trois mois après l’implantation du rôle d’ICSM à l’aide d’un sondage destiné aux infirmières, aux infirmières praticiennes spécialisées et aux médecins. Résultats : Les résultats présentent de façon détaillée les cinq éléments du plan d’implantation. Les résultats préliminaires du sondage effectué trois mois après l’implantation indiquent que l’ICSM a travaillé en moyenne 150 h/mois, a réalisé 22,7 consultations et 52,3 suivis par mois lesquels étaient d’une durée moyenne de 53,1 minutes. Au final, 96 % des soignants ont indiqués qu’il s’agit d’une expertise nécessaire en hématologie-oncologie pédiatrique, 95 % que le rôle améliore les soins psychosociaux et les soins psychiatriques. Par ailleurs, seulement 28 % des répondants considèrent avoir les connaissances/compétences nécessaires pour gérer efficacemnent la psychopharmacothérapie. Conclusion : Ces résultats semblent démontrer que la stratégie proposée par Fry et Rogers (2009) est appropriée pour le développement d’une pratique infirmière en santé mentale au programme d’hématologie-oncologie pédiatrique, en raison de la faisabilité, de l’acceptabilité et de l’appréciation du rôle de l’ICSM. La troisième partie de ce projet permettra une évaluation structurée et rigoureuse de la faisabilité, de l’acceptabilité et de l’appréciation qui sera réalisée auprès des patients rencontrés, de leurs parents et des soignants un an après l’implantation.

Published
2024
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27. The role of the mental health nurse in pediatric hematology-oncology – Part 1: Developing an innovative practice

Author

Pascal Bernier, Leandra Desjardins, Marie-Claude Charette, Marie-Paule Latour, and Marie-Pierre Bastien

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Introduction: Pediatric hematological and oncological illnesses present many coping challenges. Mental health issues can arise during and after treatment, in both patients and their families. The current model of care does not always seem to meet the needs identified by some young patients. In Quebec, nurses are allowed to assess and care for patients experiencing physical and mental health difficulties (Ordre des infirmières et infirmiers du Québec, 2016). Therefore, a mental health nurse clinician (MHNC) with experience in pediatric hematology/oncology could provide care that is complementary to that offered by psychologists, social workers, and other psychosocial professionals in the pediatric hematology/oncology unit in order to meet any needs that remain unmet. The MHNC project has three stages: (1) role development, (2) role implementation, and (3) role assessment one year after implementation. In this first article, we explain how the MHNC role was developed. Methodology: We used the participatory, evidence-based, patient-focused process for advanced practice nursing (APN) role development, implementation, and evaluation (PEPPA Framework; Bryant-Lukosius & Dicenso, 2004) to develop this model. The first five steps in the PEPPA Framework were applied in the creation of the MHNC role to (1) select the target population, (2) identify the stakeholders to be involved, (3) ascertain needs, (4) determine and prioritize problems and set goals, and (5) define a new model of care. Results: After multiple meetings involving numerous health professionals and managers, the MHNC role was developed with a versatile, transdisciplinary perspective to address better the needs of young cancer patients (especially those in their teens) and their families. The role was developed around four main areas of practice: (1) interventions offered to patient-family, (2) interventions offered to health professionals, (3) psychiatric consultation-liaison, and (4) education and research. Conclusion: The next steps are to use a strategic plan to implement the role and then to evaluate the impact of the role one year after implementation.

Published
2024
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28. The role of mental health nursing in pediatric hematology/oncology – Part 2: Developing an implementation strategy for an innovative practice

Author

Pascal Bernier, Leandra Desjardins, and Marie-Claude Charette

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

But : Expliciter le processus utilisé pour le développement du rôle d’infirmier clinicien en santé mentale au sein d’un programme d’hématologie-oncologie pédiatrique au Québec Background : La maladie hématologique-oncologique pédiatrique implique de nombreux défis adaptatifs et parfois des enjeux de santé mentale font surface durant ou après les traitements, et ce tant chez les jeunes que leurs parents. La prise en charge actuelle de ces problèmes ne semblait pas correspondre aux besoins soulevés par certains jeunes. Le rôle infirmier au Québec permet l’évaluation et la prise en charge de personnes souffrant de trouble de la santé physique et mentale (Ordre des Infirmières et Infirmiers du Québec, 2016a). Ainsi, un infirmier possédant de l’expérience en hématologie-oncologie et possédant une expertise en santé mentale pourrait offrir une vision complémentaire aux approches traditionnelles. Méthodes & discussion : L’implantation de ce nouveau rôle se fera en 4 étapes. Le présent article présente le développement de ce modèle de rôle novateur dans le domaine de l’hématologie-oncologie pédiatrique au Québec. Le modèle a été fait en respectant la structure proposée par le modèle Participatory, Evidence-informed, Patient-centered Process for APN role development, implementation and evaluation (PEPPA Framework) (Bryant-Lukosius & Dicenso, 2004). Conclusion : Les prochaines étapes consisteront en la mise en application d’un plan stratégique d’implantation et de l’évaluation des retombées un an post-implantation.

Published
2024
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29. Risk of COVID-19 after natural infection or vaccination

Author

Rick, Anne-Marie, Laurens, Matthew B, Huang, Ying, Yu, Chenchen, Martin, Thomas CS, Rodriguez, Carina A, Rostad, Christina A, Maboa, Rebone M, Baden, Lindsey R, Sahly, Hana M El, Grinsztejn, Beatriz, Gray, Glenda E, Gay, Cynthia L, Gilbert, Peter B, Janes, Holly E, Kublin, James G, Huang, Yunda, Leav, Brett, Hirsch, Ian, Struyf, Frank, Dunkle, Lisa M, Neuzil, Kathleen M, Corey, Lawrence, Goepfert, Paul A, Walsh, Stephen R, Follmann, Dean, Kotloff, Karen L, Adams, Atoya, Miller, Eric, Rankin, Bruce G, Shinn, Steven, Nash, Marshall, Green, Sinikka L, Jacobsen, Colleen, Krishnankutty, Jayasree, Phungwayo, Sikhongi, Glover, Richard M, Slechta, Stacy, Holdeman, Troy, Hartvickson, Robyn, Grant, Amber, Poling, Terry L, Klein, Terry D, Klein, Thomas C, Klein, Tracy R, Smith, William B, Gibson, Richard L, Winbigler, Jennifer, Parker, Elizabeth, Wijewardane, Priyantha N, Bravo, Eric, Thessing, Jeffrey, Maxwell, Michelle, Horn, Amanda, Healy, Catherine Mary, Akamine, Christine, Chu, Laurence, Chouteau, R Michelle, Cotugno, Michael J, Bauer, George H, Hachigian, Greg, Oshita, Masaru, Cancilla, Michael, Kiersey, Kristen, Seger, William, Antwi, Mohammed, Green, Allison, Kim, Anthony, Desjardins, Michael, Johnson, Jennifer A, Sherman, Amy, Borger, Judith, Saleem, Nafisa, Solis, Joel, Medina, Martha Carmen, Keating, Westly, Garcia, Edgar, Bueno, Cynthia, Segall, Nathan, Denham, Douglas S, Weiss, Thomas, Avworo, Ayoade, Hedges, Parke, Strout, Cynthia Becher, Santiago, Rica, Davis, Yvonne, Howenstine, Patty, Bondell, Alison, Marks, Kristin, Wang, Tina, Wilkin, Timothy, Vogler, Mary, Johnston, Carrie, Andrasik, Michele P, Andriesen, Jessica G, Broder, Gail, Eaton, Niles, Gelderblom, Huub G, and McClennen, Rachael

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Prevention, Clinical Research, Vaccine Related, Immunization, Infectious Diseases, Clinical Trials and Supportive Activities, Emerging Infectious Diseases, Coronaviruses, Biotechnology, 6.1 Pharmaceuticals, 3.4 Vaccines, Infection, Good Health and Well Being, Humans, COVID-19, COVID-19 Vaccines, Pandemics, SARS-CoV-2, United States, Vaccination, Natural infection, Hybrid immunity, NIAID-funded COVID-19 Prevention Network, natural infection, hybrid immunity, vaccination, Public Health and Health Services, Clinical sciences, Epidemiology
Abstract

BackgroundWhile vaccines have established utility against COVID-19, phase 3 efficacy studies have generally not comprehensively evaluated protection provided by previous infection or hybrid immunity (previous infection plus vaccination). Individual patient data from US government-supported harmonized vaccine trials provide an unprecedented sample population to address this issue. We characterized the protective efficacy of previous SARS-CoV-2 infection and hybrid immunity against COVID-19 early in the pandemic over three-to six-month follow-up and compared with vaccine-associated protection.MethodsIn this post-hoc cross-protocol analysis of the Moderna, AstraZeneca, Janssen, and Novavax COVID-19 vaccine clinical trials, we allocated participants into four groups based on previous-infection status at enrolment and treatment: no previous infection/placebo; previous infection/placebo; no previous infection/vaccine; and previous infection/vaccine. The main outcome was RT-PCR-confirmed COVID-19 >7-15 days (per original protocols) after final study injection. We calculated crude and adjusted efficacy measures.FindingsPrevious infection/placebo participants had a 92% decreased risk of future COVID-19 compared to no previous infection/placebo participants (overall hazard ratio [HR] ratio: 0.08; 95% CI: 0.05-0.13). Among single-dose Janssen participants, hybrid immunity conferred greater protection than vaccine alone (HR: 0.03; 95% CI: 0.01-0.10). Too few infections were observed to draw statistical inferences comparing hybrid immunity to vaccine alone for other trials. Vaccination, previous infection, and hybrid immunity all provided near-complete protection against severe disease.InterpretationPrevious infection, any hybrid immunity, and two-dose vaccination all provided substantial protection against symptomatic and severe COVID-19 through the early Delta period. Thus, as a surrogate for natural infection, vaccination remains the safest approach to protection.FundingNational Institutes of Health.

Published
2023

30. A real-world observation of patients with glioblastoma treated with a personalized peptide vaccine

Author

Latzer, Pauline, Zelba, Henning, Battke, Florian, Reinhardt, Annekathrin, Shao, Borong, Bartsch, Oliver, Rabsteyn, Armin, Harter, Johannes, Schulze, Martin, Okech, Thomas, Golf, Alexander, Kyzirakos-Feger, Christina, Kayser, Simone, Pieper, Natalia, Feldhahn, Magdalena, Wünsche, Julian, Seitz, Christian, Hadaschik, Dirk, Garbe, Claus, Hauser, Till-Karsten, la Fougère, Christian, Biskup, Dirk, Brooke, Dawn, Parker, David, Martens, Uwe M., Illerhaus, Gerald, Blumenthal, Deborah T., Merrell, Ryan, Lorenzo, Luisa Sánchez, Hidvégi, Máté, de Robles, Paula, Kebir, Sied, Li, William W., Li, Vincent W., Williams, Matthew, Miller, Alexandra M., Kesari, Santosh, Castro, Michael, Desjardins, Annick, Ashley, David M., Friedman, Henry S., Wen, Patrick Y., Neil, Elisabeth C., Iwamoto, Fabio M., Sipos, Bence, Geletneky, Karsten, Zender, Lars, Glas, Martin, Reardon, David A., and Biskup, Saskia

Published
2024
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36. Early antiretroviral therapy favors post-treatment SIV control associated with the expansion of enhanced memory CD8+ T-cells

Author

Passaes, Caroline, Desjardins, Delphine, Chapel, Anaïs, Monceaux, Valérie, Lemaitre, Julien, Mélard, Adeline, Perdomo-Celis, Federico, Planchais, Cyril, Gourvès, Maël, Dimant, Nastasia, David, Annie, Dereuddre-Bosquet, Nathalie, Barrail-Tran, Aurélie, Gouget, Hélène, Guillaume, Céline, Relouzat, Francis, Lambotte, Olivier, Guedj, Jérémie, Müller-Trutwin, Michaela, Mouquet, Hugo, Rouzioux, Christine, Avettand-Fenoël, Véronique, Le Grand, Roger, and Sáez-Cirión, Asier

Published
2024
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39. Comparison of methods for curvature estimation from volume fractions

Author

Han, Austin, Evrard, Fabien, and Desjardins, Olivier

Subjects
Physics - Fluid Dynamics
Abstract

This paper evaluates and compares the accuracy and robustness of curvature estimation methods for three-dimensional interfaces represented implicitly by discrete volume fractions on a Cartesian mesh. The height function (HF) method is compared to three paraboloid fitting methods: fitting to the piecewise linear interface reconstruction centroids (PC), fitting to the piecewise linear interface reconstruction volumetrically (PV), and volumetrically fitting (VF) the paraboloid directly to the volume fraction field. The numerical studies presented in this work find that while the curvature error from the VF method converges with second-order accuracy as with the HF method for static interfaces represented by exact volume fractions, the PV method best balances low curvature errors with low computational cost for dynamic interfaces when the interface reconstruction and advection are coupled to a two-phase Navier-Stokes solver.

Published
2023
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40. Social and Emotional Functioning of Pediatric Brain Tumor Survivors and Typically Developing Youth Following the Onset of the Pandemic

Author

Leandra Desjardins, Kelly Hancock, Meng-Chuan Lai, Ute Bartels, Jacob Vorstman, and Maru Barrera

Subjects
pediatric oncology, social competence, emotional adjustment, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background: Social competence is a domain in which pediatric brain tumour survivors (PBTS) are at risk of challenges. To follow-up on our earlier work, in this study we assessed specific social interaction behaviors and emotional functioning in PBTS relative to typically developing youth (TD). The study coincided with the onset of the global pandemic. Methods: Sixteen PBTS and 16 typically developing youth (TD) between 8–16 years old participated in the study. Youth completed an assessment of social behavior and parents completed online surveys regarding child social and emotional adjustment. Results: PBTS experienced greater impairments in social interaction behaviors and on indices of social adjustment relative to TD. PBTS and TD experienced similar levels of emotional problems. Social behavior challenges were associated with indices of anxiety, rather than depression. Time since pandemic onset was not associated with social emotional outcomes. Conclusions: It will be important to monitor and support the social adjustment of populations such as PBTS, as well as the emotional adjustment across PBTS and TD youth, following the pandemic.

Published
2024
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41. Cradle-to-gate life cycle analysis of slow pyrolysis biochar from forest harvest residues in Ontario, Canada

Author

Sabrina M. Desjardins, Michael T. Ter-Mikaelian, and Jiaxin Chen

Subjects
Biochar, Pyrolysis, Life cycle analysis, Forest harvest residue, Greenhouse gas, Environmental sciences, GE1-350, Agriculture
Abstract

Abstract Climate change mitigation technologies have been a focus in reducing atmospheric carbon levels for the past few years. One such mitigation technology is pyrolysis, where biomass feedstocks are combusted at elevated temperatures for varying durations to produce three main products: biochar, bio-oil, and biogas. While bio-oil and biogas are typically used to produce energy via further combustion, biochar can be used in several different applications. Furthermore, using forest harvest residues as a feedstock for biochar production helps use excess biomass from the forestry industry that was previously assumed unmarketable. In our study, we combined forest carbon analysis modelling with cradle-to-gate life cycle emissions to determine the greenhouse gas emissions of biochar produced from forest harvest residues. We examined three collection scenarios, spanning two harvesting methods in one forest management unit in northern Ontario, Canada. From our analysis, we observed immediate reductions (− 0.85 tCO2eq·tbiochar −1 in year 1) in CO2-equivalent emissions (CO2eq) when producing biochar from forest harvest residues that would have undergone controlled burning, without considering the end use of the biochar. For the forest harvest residues that would remain in-forest to decay over time, producing biochar would increase overall emissions by about 6 tCO2eq·tbiochar −1. Throughout the 100-year timeframe examined–in ascending order of cumulative emissions–scenario ranking was: full tree harvesting with slash pile burn

Published
2024
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42. Is ethyl chloride the new nitrous oxide? A case report

Author

Quentin Salardaine, Clément Desjardins, Guillaume Baille, Emmanuel Roze, and Clotilde Nardin

Subjects
Ethyl chloride, Cerebellar, Intoxication, Neurotoxicity, Case report, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Over the last decade, there has been an emerging trend of recreational misuse of several drugs and inhaled solvent including ethyl chloride. This case report follows CARE guidelines and highlights, with supporting video, the neurological features of ethyl chloride intoxication. Case presentation A 48-year-old man was seen for the sudden occurrence of an unsteady gait with dizziness. His only medical history was a chronic and treated HIV infection without any complications. Clinical examination revealed a cerebellar syndrome associated with impairment of short-term memory. Biological and radiological workups were normal. After several days, the patient recalled ethyl chloride inhalation. He fully recovered after being discharged from hospital. Conclusion Clinicians should recognise the clinical features and neurological manifestations of ethyl chloride intoxication due to the potential fatal cardiovascular complications of this intoxication.

Published
2024
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43. The Development and Implementation of Align: A Multidimensional Program Designed to Enhance the Success of Black, Indigenous, and People of Color (BIPOC) Graduate Students in Communication Sciences and Disorders

Author

Lowell, Soren Y., McMillen, Stephanie, Lightburn, Anita L., Desjardins, Jamie L., and Riley, Ellyn A.

Abstract

The critical lack of racially and ethnically diverse healthcare professionals in the field of Communication Sciences & Disorders (CSD) in contrast to the increasing diversity of the U.S. population may contribute to healthcare disparities and negatively impact healthcare outcomes. It is therefore imperative for transformational programs and practices to be enacted to substantially increase the number of CSD professionals representing Black, Indigenous, and People of Color (BIPOC). As training institutions that graduate and contribute to the certification of CSD professionals, universities are fundamental for contributing to this change. Numerous barriers have been identified that limit the number of underrepresented minority students who matriculate in and graduate from speech-language pathology and audiology graduate programs. At Syracuse University, a group of academic and clinical CSD faculty developed a program to specifically address these barriers: the Academic Skill Building and Networking (ALIGN) program. ALIGN implements a multifaceted approach toward facilitating the success of CSD BIPOC graduate students through the integration of academic and professional skill building, peer mentoring and networking, and professional mentoring and networking into the program curriculum. This study described the rationale and development of the ALIGN program, and reported quantitative and qualitative survey results to determine the preliminary effects of this program on an inaugural cohort of ALIGN participants. Overall, quantitative and qualitative data indicated that ALIGN had a substantial, positive impact on academic skills relative to study habits, understanding difficult course concepts, and general learning, and provided crucial support and connection opportunities with fellow BIPOC students.

Published
2022

44. Like Any Other Trap: The Circuitous Path of Student Loan Repayment

Author

Furquim, Fernando, Deane, K. C., McCall, Brian P., and DesJardins, Stephen L.

Abstract

This paper studies the patterns of individuals' student loan repayment for up to 12 years, tracking borrowers through the formative ages of the early 20s to the late 30s. Using social sequence and cluster analysis to understand these longitudinal repayment histories, we identify five archetypes of loan repayment that describe borrowers' experiences: persistent defaulters, perpetual payers, rapid full payers, late full payers, and consolidators. We find significant stratification by race/ethnicity, social class, and institutional sector into repayment clusters, with minoritized borrowers and those attending for-profit institutions more likely to experience adverse borrowing outcomes and to experience them for longer.

Published
2022

45. Dowker Complexes and filtrations on self-relations

Author

Côté, Dominic Desjardins

Subjects
Mathematics - Combinatorics, Computer Science - Discrete Mathematics, 06A06, 05C20, G.2.2
Abstract

Given a relation on $ X \times Y $, we can construct two abstract simplicial complexes called Dowker complexes. The geometric realizations of these simplicial complexes are homotopically equivalent. We show that if two relations are conjugate, then they have homotopically equivalent Dowker complexes. From a self-relation on $ X $, this is a directed graph, and we use the Dowker complexes to study their properties. We show that if two relations are shift equivalent, then, at some power of the relation, their Dowker complexes are homotopically equivalent. Finally, we define a new filtration based on Dowker complexes with different powers of a relation., Comment: 21 pages, 13 figures

Published
2023

47. Optimal design of nanomagnets for on-chip field gradients

Author

Legrand, William, Lopes, Sandrine, Schaeverbeke, Quentin, Montaigne, François, and Desjardins, Matthieu M.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science, Physics - Applied Physics
Abstract

The generation of localized magnetic field gradients by on-chip nanomagnets is important for a variety of technological applications, in particular for spin qubits. To advance beyond the empirical design of these nanomagnets, we propose a systematic and general approach based on the micromagnetic formulation of an optimal field gradient source. We study the different field configurations that can be realized and find out quantitatively the most suitable ferromagnetic layer geometries. Using micromagnetic simulations, we then investigate the minimum requirements for reaching magnetic saturation in these nanomagnets. In terms of either longitudinal or transverse field gradient, the results provide an optimal solution for uniform, saturated nanomagnets, where the magnetic material can be selected according to the strength of the external fields that can be used., Comment: 10 pages, 4 figures, supplemental material. All comments most welcome

Published
2022
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48. Multimodal optical ultrasound imaging: Real-time imaging under concurrent CT or MRI

Author

Fraser T. Watt, Vivek Muthurangu, Jennifer Steeden, Eleanor C. Mackle, Adrien E. Desjardins, Edward Z. Zhang, Paul C. Beard, and Erwin J. Alles

Subjects
Applied optics. Photonics, TA1501-1820
Abstract

Optical ultrasound (OpUS) imaging is an ultrasound modality that utilizes fiber-optic ultrasound sources and detectors to perform pulse-echo ultrasound imaging. These probes can be constructed entirely from glass optical fibers and plastic components, and as such, these devices have been predicted to be compatible with computed tomography (CT) and magnetic resonance imaging (MRI), modalities that use intense electromagnetic fields for imaging. However, to date, this compatibility has not been demonstrated. In this work, a free-hand OpUS imaging system was developed specifically to investigate the compatibility of OpUS systems with CT and MRI imaging systems. The OpUS imaging platform discussed in this work was used to perform real-time OpUS imaging under (separately) concurrent CT and MRI. CT and MRI imaging of the OpUS probe was used to determine if the probe itself would induce artifacts in the CT and MRI imaging, and ultrasound resolution targets and background measurements were used to assess any impact of CT and MRI on the OpUS signal fidelity. These measurements demonstrate that there was negligible interaction between the OpUS system and both the CT and MRI systems, and to further demonstrate this capability, concurrent OpUS-CT and OpUS-MRI imaging was conducted of a tissue-mimicking phantom and a dynamic motion phantom. This work presents a comprehensive demonstration of an OpUS imaging system operating alongside CT and MRI, which opens up new applications of ultrasound imaging in electromagnetically challenging settings.

Published
2024
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49. Kinetochore and ionomic adaptation to whole-genome duplication in Cochlearia shows evolutionary convergence in three autopolyploids

Author

Sian M. Bray, Tuomas Hämälä, Min Zhou, Silvia Busoms, Sina Fischer, Stuart D. Desjardins, Terezie Mandáková, Chris Moore, Thomas C. Mathers, Laura Cowan, Patrick Monnahan, Jordan Koch, Eva M. Wolf, Martin A. Lysak, Filip Kolar, James D. Higgins, Marcus A. Koch, and Levi Yant

Subjects
CP: Plants, CP: Genomics, Biology (General), QH301-705.5
Abstract

Summary: Whole-genome duplication (WGD) occurs in all kingdoms and impacts speciation, domestication, and cancer outcome. However, doubled DNA management can be challenging for nascent polyploids. The study of within-species polyploidy (autopolyploidy) permits focus on this DNA management aspect, decoupling it from the confounding effects of hybridization (in allopolyploid hybrids). How is autopolyploidy tolerated, and how do young polyploids stabilize? Here, we introduce a powerful model to address this: the genus Cochlearia, which has experienced many polyploidization events. We assess meiosis and other polyploid-relevant phenotypes, generate a chromosome-scale genome, and sequence 113 individuals from 33 ploidy-contrasting populations. We detect an obvious autopolyploidy-associated selection signal at kinetochore components and ion transporters. Modeling the selected alleles, we detail evidence of the kinetochore complex mediating adaptation to polyploidy. We compare candidates in independent autopolyploids across three genera separated by 40 million years, highlighting a common function at the process and gene levels, indicating evolutionary flexibility in response to polyploidy.

Published
2024
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