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11,072 results on '"Jarry P."'

1. On the Detection of Aircraft Single Engine Taxi using Deep Learning Models

Author

Jarry, Gabriel, Very, Philippe, Dalmau, Ramon, Delahaye, Daniel, and Houdant, Arthur

Subjects
Computer Science - Machine Learning
Abstract

The aviation industry is vital for global transportation but faces increasing pressure to reduce its environmental footprint, particularly CO2 emissions from ground operations such as taxiing. Single Engine Taxiing (SET) has emerged as a promising technique to enhance fuel efficiency and sustainability. However, evaluating SET's benefits is hindered by the limited availability of SET-specific data, typically accessible only to aircraft operators. In this paper, we present a novel deep learning approach to detect SET operations using ground trajectory data. Our method involves using proprietary Quick Access Recorder (QAR) data of A320 flights to label ground movements as SET or conventional taxiing during taxi-in operations, while using only trajectory features equivalent to those available in open-source surveillance systems such as Automatic Dependent Surveillance-Broadcast (ADS-B) or ground radar. This demonstrates that SET can be inferred from ground movement patterns, paving the way for future work with non-proprietary data sources. Our results highlight the potential of deep learning to improve SET detection and support more comprehensive environmental impact assessments.

Published
2024

2. On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models

Author

Jarry, Gabriel, Dalmau, Ramon, Very, Philippe, and Sun, Junzi

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

Accurately estimating aircraft fuel flow is essential for evaluating new procedures, designing next-generation aircraft, and monitoring the environmental impact of current aviation practices. This paper investigates the generalization capabilities of deep learning models in predicting fuel consumption, focusing particularly on their performance for aircraft types absent from the training data. We propose a novel methodology that integrates neural network architectures with domain generalization techniques to enhance robustness and reliability across a wide range of aircraft. A comprehensive dataset containing 101 different aircraft types, separated into training and generalization sets, with each aircraft type set containing 1,000 flights. We employed the base of aircraft data (BADA) model for fuel flow estimates, introduced a pseudo-distance metric to assess aircraft type similarity, and explored various sampling strategies to optimize model performance in data-sparse regions. Our results reveal that for previously unseen aircraft types, the introduction of noise into aircraft and engine parameters improved model generalization. The model is able to generalize with acceptable mean absolute percentage error between 2\% and 10\% for aircraft close to existing aircraft, while performance is below 1\% error for known aircraft in the training set. This study highlights the potential of combining domain-specific insights with advanced machine learning techniques to develop scalable, accurate, and generalizable fuel flow estimation models.

Published
2024

3. The evolution of coronal shock wave properties and their relation with solar energetic particles

Author

Jarry, Manon, Dresing, Nina, Rouillard, Alexis P., Plotnikov, Illya, Vainio, Rami, Palmroos, Christian, Kouloumvakos, Athanasios, and Vuorinen, Laura

Subjects
Astrophysics - Solar and Stellar Astrophysics, Physics - Space Physics
Abstract

Shock waves driven by fast and wide coronal mass ejections (CMEs) are highly efficient particle accelerators involved in the production of solar energetic particle (SEP) events. The gradual SEP event measured by STEREO-A and B on October 11, 2013 had notable properties: (1) it occurred in isolation with very low background particle intensities, (2) it had a clear onset of SEPs measured in situ allowing detailed timing analyses, and (3) it was associated with a fast CME event magnetically connected with STA and B. These allowed us to investigate the temporal connection between the rapidly evolving shock properties, such as compression ratio, Mach number and geometry, and the intensity and composition of SEPs measured in situ. We use shock reconstruction techniques and multi-viewpoint imaging data from STA and B, SOHO, and SDO spacecraft to determine the kinematic evolution of the expanding shock wave. Using 3D magneto-hydrodynamic modelling we obtained shock wave properties along an ensemble of magnetic field lines connected to STA and B, estimating their uncertainties. Using a velocity dispersion analysis of the SEP data, we time shift the SEP time series and analyze the relations between their properties and the modeled shock ones, as well as the energy dependence of these relations. We find a very good temporal agreement between the formation of the modelled shock wave and the estimated release times for both electrons and protons. This simultaneous release suggests a common acceleration process. This early phase is marked at both STEREOs by elevated electron-to-proton ratios that coincide with the highly quasi-perpendicular phase of the shock, suggesting that the rapid evolution of the shock as it transits from the low to the high corona modifies the conditions under which particles are accelerated. We discuss these findings in terms of basic geometry and acceleration processes., Comment: 13 pages, 14 figures, submitted to A&A

Published
2024

7. The cosine measure relative to a subspace

Author

Audet, Charles, Hare, Warren, and Jarry-Bolduc, Gabriel

Subjects
Mathematics - Optimization and Control
Abstract

The cosine measure was introduced in 2003 to quantify the richness of a finite positive spanning sets of directions in the context of derivative-free directional methods. A positive spanning set is a set of vectors whose nonnegative linear combinations span the whole space. The present work extends the definition of cosine measure. In particular, the paper studies cosine measures relative to a subspace, and proposes a deterministic algorithm to compute it. The paper also studies the situation in which the set of vectors is infinite. The extended definition of the cosine measure might be useful for subspace decomposition methods.

Published
2024

9. Using generalized simplex methods to approximate derivatives

Author

Jarry-Bolduc, Gabriel and Planiden, Chayne

Subjects
Mathematics - Numerical Analysis
Abstract

This paper presents two methods for approximating a proper subset of the entries of a Hessian using only function evaluations. These approximations are obtained using the techniques called \emph{generalized simplex Hessian} and \emph{generalized centered simplex Hessian}. We show how to choose the matrices of directions involved in the computation of these two techniques depending on the entries of the Hessian of interest. We discuss the number of function evaluations required in each case and develop a general formula to approximate all order-$P$ partial derivatives. Since only function evaluations are required to compute the methods discussed in this paper, they are suitable for use in derivative-free optimization methods., Comment: arXiv admin note: text overlap with arXiv:2304.03222

Published
2023

10. Anxiety, depression and fear of cancer recurrence in uveal melanoma survivors and ophthalmologist/oncologist communication during survivorship in France – protocol of a prospective observational mixed-method study

Author

Anita Müller, Sylvie Dolbeault, Sophie Piperno-Neumann, Morgane Clerc, Paulin Jarry, Nathalie Cassoux, Livia Lumbroso-Le Rouic, Alexandre Matet, Manuel Rodrigues, Bernhard Holzner, Denis Malaise, and Anne Brédart

Subjects
Uveal melanoma, Survivorship, Quality of life, Fear of recurrence, Anxiety, Depression, Psychiatry, RC435-571
Abstract

Abstract Background Quality of life (QoL) in patients undergoing surveillance for uveal melanoma (UM) can be affected by psychological sequelae. Fear of cancer recurrence (FCR) may be acute especially when prognostication indicates an increased risk of metastatic recurrence. Communication with an ophthalmologist or oncologist can then play a key role in impacting QoL. Methods In this prospective study co-designed with patient’s partners and using a mixed-method approach, 250 patients at high versus low risk of metastatic recurrence are recruited in a national UM reference centre in France. At T1, after the 6-months post-treatment surveillance visit, dyads of clinicians and eligible patients complete a questionnaire to assess their respective experience of the communication during that consultation. Patients also complete questionnaires assessing their health literacy, information preference, and satisfaction with the information received (EORTC QLQ-INFO25), genomic testing knowledge, genomic test result receipt, satisfaction with medical care (EORTC PATSAT-C33), perceived recurrence risk, anxiety and depression (HADS), fear of cancer recurrence (FCRI) and quality of life (EORTC QLQ-C30 and QLQ-OPT30). At 12-months post-treatment (T2), patients complete again the HADS, FCRI, EORTC QLQ-C30 and QLQ-OPT30. Multilevel analyses will assess the effect of satisfaction with the information received on FCR and QoL accounting for the clinicians’ and patients’ characteristics. In-depth interviews planned sequentially with ≈25 patients will deepen understanding of patients’ care experience. Discussion As information on prognosis based on medical parameters becomes widely integrated into oncology practice, this study will highlight UM survivors’ information expectations and satisfaction with communication, and its effect on FCR and QoL. Culturally adapted recommendations for doctor-patient communication will be provided for contexts of oncology surveillance involving poor prognosis in cases of recurrence. Trial registration NCT06073548 (October 4, 2023).

Published
2024
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11. Structure-Dynamics Relationship in Al-Mg-Si Liquid Alloys

Author

Fahs, Alaa, Jarry, Philippe, and Jakse, Noël

Subjects
Condensed Matter - Materials Science
Abstract

Enhancing properties and performances of aluminium alloys by a control of their solidification is pivotal in automotive and aerospace industries. The fundamental role of the structure-diffusion relationship is investigated for Al-Mg-Si liquid alloys taken as a prototype of Al-6xxx. For this purpose, first principles-based molecular dynamics simulations were performed for various Si and Mg content for Al-rich compositions, including the binary alloy counterparts. Results indicate that Mg and/or Si in alloys create a more compact ordering around Al than in pure Al, lowering diffusion. Mg promotes icosahedral short-range order, while Si displays a preference towards cubic local ordering, impacting diffusion based on their respective content. It suggests a mechanism whereby an increase in Mg content generally lowers the diffusion of each species, whereas an increase in Si content enhances their diffusion, providing insights for future alloy design., Comment: 5 figues, 18 pages

Published
2023

12. Using orthogonally structured positive bases for constructing positive $k$-spanning sets with cosine measure guarantees

Author

Hare, Warren, Jarry-Bolduc, Gabriel, Kerleau, Sébastien, and Royer, Clément W.

Subjects
Mathematics - Numerical Analysis, Mathematics - Optimization and Control, 15A03, 15A21, 15B30, 15B99, 90C56
Abstract

Positive spanning sets span a given vector space by nonnegative linear combinations of their elements. These have attracted significant attention in recent years, owing to their extensive use in derivative-free optimization. In this setting, the quality of a positive spanning set is assessed through its cosine measure, a geometric quantity that expresses how well such a set covers the space of interest. In this paper, we investigate the construction of positive $k$-spanning sets with geometrical guarantees. Our results build on recently identified positive spanning sets, called orthogonally structured positive bases. We first describe how to identify such sets and compute their cosine measures efficiently. We then focus our study on positive $k$-spanning sets, for which we provide a complete description, as well as a new notion of cosine measure that accounts for the resilient nature of such sets. By combining our results, we are able to use orthogonally structured positive bases to create positive $k$-spanning sets with guarantees on the value of their cosine measures., Comment: V4 fixes a typo in the arXiv abstract

Published
2023

18. The Structurally Complex with Additive Parent Causality (SCARY) Dataset

Author

Chen, Jarry and Fayek, Haytham M.

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

Causal datasets play a critical role in advancing the field of causality. However, existing datasets often lack the complexity of real-world issues such as selection bias, unfaithful data, and confounding. To address this gap, we propose a new synthetic causal dataset, the Structurally Complex with Additive paRent causalitY (SCARY) dataset, which includes the following features. The dataset comprises 40 scenarios, each generated with three different seeds, allowing researchers to leverage relevant subsets of the dataset. Additionally, we use two different data generation mechanisms for generating the causal relationship between parents and child nodes, including linear and mixed causal mechanisms with multiple sub-types. Our dataset generator is inspired by the Causal Discovery Toolbox and generates only additive models. The dataset has a Varsortability of 0.5. Our SCARY dataset provides a valuable resource for researchers to explore causal discovery under more realistic scenarios. The dataset is available at https://github.com/JayJayc/SCARY., Comment: 5 pages, 5 figures, accepted to CLeaR (Causal Learning and Reasoning) 2023

Published
2023

19. A matrix algebra approach to approximate Hessians

Author

Hare, W., Jarry-Bolduc, G., and Planiden, C.

Subjects
Mathematics - Numerical Analysis
Abstract

This work presents a novel matrix-based method for constructing an approximation Hessian using only function evaluations. The method requires less computational power than interpolation-based methods and is easy to implement in matrix-based programming languages such as MATLAB. As only function evaluations are required, the method is suitable for use in derivative-free algorithms. For reasonably structured sample sets, the method is proven to create an order-$1$ accurate approximation of the full Hessian. Under more specialized structures, the method is proved to yield order-$2$ accuracy. The undetermined case, where the number of sample points is less than required for full interpolation, is studied and error bounds are developed for the resulting partial Hessians., Comment: arXiv admin note: substantial text overlap with arXiv:2011.02584

Published
2023

20. Parametric study of the kinematic evolution of coronal mass ejection shock waves and their relation to flaring activity

Author

Jarry, Manon, Rouillard, Alexis P., Plotnikov, Illya, Kouloumvakos, Athanasios, and Warmuth, Alexander

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

Coronal and interplanetary shock waves produced by coronal mass ejections (CMEs) are major drivers of space-weather phenomena, inducing major changes in the heliospheric radiation environment and directly perturbing the near-Earth environment, including its magnetosphere. A better understanding of how these shock waves evolve from the corona to the interplanetary medium can therefore contribute to improving nowcasting and forecasting of space weather. Early warnings from these shock waves can come from radio measurements as well as coronagraphic observations that can be exploited to characterise the dynamical evolution of these structures. Our aim is to analyse the geometrical and kinematic properties of 32 CME shock waves derived from multi-point white-light and ultraviolet imagery taken by the Solar Dynamics Observatory (SDO), Solar and Heliospheric Observatory (SoHO), and Solar-Terrestrial Relations Observatory (STEREO) to improve our understanding of how shock waves evolve in 3D during the eruption of a CME. We use our catalogue to search for relations between the shock wave's kinematic properties and the flaring activity associated with the underlying genesis of the CME piston. Past studies have shown that shock waves observed from multiple vantage points can be aptly reproduced geometrically by simple ellipsoids. The catalogue of reconstructed shock waves provides the time-dependent evolution of these ellipsoidal parameters. From these parameters, we deduced the lateral and radial expansion speeds of the shocks evolving over time. We compared these kinematic properties with those obtained from a single viewpoint by SoHO in order to evaluate projection effects. Finally, we examined the relationships between the shock wave and the associated flare when the latter was observed on the disc by considering the measurements of soft and hard X-rays., Comment: 11 pages, 12 figures, accepted for publication in A&A

Published
2023
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21. Eye-Tracking for Examining Nurses’ Attention During Cardiac Arrest Simulations: A Feasibility and Acceptability Study

Author

Patrick Lavoie, Alexandra Lapierre, Imène Khetir, Amélie Doherty, Nicolas Thibodeau-Jarry, Nicolas Rousseau-Saine, Rania Benhannache, Maude Crétaz, and Tanya Mailhot

Subjects
Nursing, RT1-120
Abstract

Introduction: Eye-tracking offers a distinctive opportunity to assess nurses’ clinical decision-making in simulation. Although its feasibility has been established in various scenarios, most studies have focused on a single participant, typically a physician in a leadership role. The application of eye-tracking in the challenging context of in-hospital cardiac arrest (IHCA) simulations, where nurses juggle diverse roles and undertake physical tasks such as chest compressions, has yet to be explored.Objectives: This study aimed to assess the feasibility and acceptability of eye-tracking with nurses’ during IHCA simulations. Additionally, the study aimed to describe eye-tracking metrics based on different resuscitation roles and to explore the relationship between eye-tracking metrics to pinpoint the most informative metrics for the design of future studies.Methods: In this single-group observational study, 56 newly hired nurses wore eye-tracking glasses during IHCA simulations. The primary feasibility criterion was the proportion of usable eye-tracking data. Secondary criteria included recruitment rate, calibration time, and glasses acceptability. The relationship among eye-tracking metrics was investigated through correlation analyses.Results: Calibration of the devices was rapid, and 85.7% of the data was usable. The glasses were comfortable, non-distracting, and did not impede nurses’ vision or performance. Data were mapped for five areas of interest: the patient’s head and chest, cardiac monitor, teammates, and resuscitation cart. Eye-tracking metrics exhibited variations based on resuscitation roles. Fixation count, fixation duration, and time to first fixation appeared to be the most informative metrics in IHCA simulation.Discussion and conclusion: These findings demonstrate the feasibility and acceptability of analyzing nurses’ eye-tracking data during IHCA simulations using a role-based approach. Future research should explore correlations with additional attention measures to enhance our understanding of nurse decision-making during cardiac arrest and improve educational strategies and outcomes.

Published
2024
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22. Search for central exclusive production of top quark pairs in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV with tagged protons

Author

The CMS collaboration, A. Tumasyan, W. Adam, J. W. Andrejkovic, T. Bergauer, S. Chatterjee, K. Damanakis, M. Dragicevic, A. Escalante Del Valle, P. S. Hussain, M. Jeitler, N. Krammer, L. Lechner, D. Liko, I. Mikulec, P. Paulitsch, F. M. Pitters, J. Schieck, R. Schöfbeck, D. Schwarz, S. Templ, W. Waltenberger, C.-E. Wulz, M. R. Darwish, T. Janssen, T. Kello, H. Rejeb Sfar, P. Van Mechelen, E. S. Bols, J. D’Hondt, A. De Moor, M. Delcourt, H. El Faham, S. Lowette, S. Moortgat, A. Morton, D. Müller, A. R. Sahasransu, S. Tavernier, W. Van Doninck, D. Vannerom, B. Clerbaux, G. De Lentdecker, L. Favart, D. Hohov, J. Jaramillo, K. Lee, M. Mahdavikhorrami, I. Makarenko, A. Malara, S. Paredes, L. Pétré, N. Postiau, E. Starling, L. Thomas, M. Vanden Bemden, C. Vander Velde, P. Vanlaer, D. Dobur, J. Knolle, L. Lambrecht, G. Mestdach, M. Niedziela, C. Rendón, C. Roskas, A. Samalan, K. Skovpen, M. Tytgat, N. Van Den Bossche, B. Vermassen, L. Wezenbeek, A. Benecke, G. Bruno, F. Bury, C. Caputo, P. David, C. Delaere, I. S. Donertas, A. Giammanco, K. Jaffel, Sa. Jain, V. Lemaitre, K. Mondal, J. Prisciandaro, A. Taliercio, T. T. Tran, P. Vischia, S. Wertz, G. A. Alves, E. Coelho, C. Hensel, A. Moraes, P. Rebello Teles, W. L. Aldá Júnior, M. Alves Gallo Pereira, M. Barroso Ferreira Filho, H. Brandao Malbouisson, W. Carvalho, J. Chinellato, E. M. Da Costa, G. G. Da Silveira, D. De Jesus Damiao, V. Dos Santos Sousa, S. Fonseca De Souza, J. Martins, C. Mora Herrera, K. Mota Amarilo, L. Mundim, H. Nogima, A. Santoro, S. M. Silva Do Amaral, A. Sznajder, M. Thiel, F. Torres Da Silva De Araujo, A. Vilela Pereira, C. A. Bernardes, L. Calligaris, T. R. Fernandez Perez Tomei, E. M. Gregores, P. G. Mercadante, S. F. Novaes, Sandra S. Padula, A. Aleksandrov, R. Hadjiiska, P. Iaydjiev, M. Misheva, M. Rodozov, M. Shopova, G. Sultanov, A. Dimitrov, T. Ivanov, L. Litov, B. Pavlov, P. Petkov, A. Petrov, E. Shumka, T. Cheng, T. Javaid, M. Mittal, L. Yuan, M. Ahmad, G. Bauer, Z. Hu, S. Lezki, K. Yi, G. M. Chen, H. S. Chen, M. Chen, F. Iemmi, C. H. Jiang, A. Kapoor, H. Liao, Z.-A. Liu, V. Milosevic, F. Monti, R. Sharma, J. Tao, J. Thomas-Wilsker, J. Wang, H. Zhang, J. Zhao, A. Agapitos, Y. An, Y. Ban, C. Chen, A. Levin, C. Li, Q. Li, X. Lyu, Y. Mao, S. J. Qian, X. Sun, D. Wang, J. Xiao, H. Yang, J. Li, M. Lu, Z. You, X. Gao, D. Leggat, H. Okawa, Y. Zhang, Z. Lin, C. Lu, M. Xiao, C. Avila, D. A. Barbosa Trujillo, A. Cabrera, C. Florez, J. Fraga, J. Mejia Guisao, F. Ramirez, M. Rodriguez, J. D. Ruiz Alvarez, D. Giljanovic, N. Godinovic, D. Lelas, I. Puljak, Z. Antunovic, M. Kovac, T. Sculac, V. Brigljevic, B. K. Chitroda, D. Ferencek, D. Majumder, M. Roguljic, A. Starodumov, T. Susa, A. Attikis, K. Christoforou, G. Kole, M. Kolosova, S. Konstantinou, J. Mousa, C. Nicolaou, F. Ptochos, P. A. Razis, H. Rykaczewski, H. Saka, M. Finger, A. Kveton, E. Ayala, E. Carrera Jarrin, S. Elgammal, A. Ellithi Kamel, M. A. Mahmoud, Y. Mohammed, S. Bhowmik, R. K. Dewanjee, K. Ehataht, M. Kadastik, T. Lange, S. Nandan, C. Nielsen, J. Pata, M. Raidal, L. Tani, C. Veelken, P. Eerola, H. Kirschenmann, M. Voutilainen, S. Bharthuar, E. Brücken, J. Havukainen, M. S. Kim, R. Kinnunen, T. Lampén, K. Lassila-Perini, S. Lehti, T. Lindén, M. Lotti, L. Martikainen, M. Myllymäki, J. Ott, M. m. Rantanen, H. Siikonen, E. Tuominen, J. Tuominiemi, P. Luukka, H. Petrow, T. Tuuva, C. Amendola, M. Besancon, F. Couderc, M. Dejardin, D. Denegri, J. L. Faure, F. Ferri, S. Ganjour, P. Gras, G. Hamel de Monchenault, P. Jarry, V. Lohezic, J. Malcles, J. Rander, A. Rosowsky, M. Ö. Sahin, A. Savoy-Navarro, P. Simkina, M. Titov, F. Beaudette, A. Buchot Perraguin, P. Busson, A. Cappati, C. Charlot, F. Damas, O. Davignon, B. Diab, G. Falmagne, B. A. Fontana Santos Alves, S. Ghosh, R. Granier de Cassagnac, A. Hakimi, B. Harikrishnan, G. Liu, J. Motta, M. Nguyen, C. Ochando, L. Portales, J. Rembser, R. Salerno, U. Sarkar, J. B. Sauvan, Y. Sirois, A. Tarabini, E. Vernazza, A. Zabi, A. Zghiche, J.-L. Agram, J. Andrea, D. Apparu, D. Bloch, G. Bourgatte, J.-M. Brom, E. C. Chabert, C. Collard, D. Darej, U. Goerlach, C. Grimault, A.-C. Le Bihan, P. Van Hove, S. Beauceron, C. Bernet, B. Blancon, G. Boudoul, A. Carle, N. Chanon, J. Choi, D. Contardo, P. Depasse, C. Dozen, H. El Mamouni, J. Fay, S. Gascon, M. Gouzevitch, G. Grenier, B. Ille, I. B. Laktineh, M. Lethuillier, L. Mirabito, S. Perries, V. Sordini, L. Torterotot, M. Vander Donckt, P. Verdier, S. Viret, G. Adamov, I. Lomidze, Z. Tsamalaidze, V. Botta, L. Feld, K. Klein, M. Lipinski, D. Meuser, A. Pauls, N. Röwert, M. Teroerde, S. Diekmann, A. Dodonova, N. Eich, D. Eliseev, M. Erdmann, P. Fackeldey, D. Fasanella, B. Fischer, T. Hebbeker, K. Hoepfner, F. Ivone, M. y. Lee, L. Mastrolorenzo, M. Merschmeyer, A. Meyer, S. Mondal, S. Mukherjee, D. Noll, A. Novak, F. Nowotny, A. Pozdnyakov, Y. Rath, W. Redjeb, H. Reithler, A. Schmidt, S. C. Schuler, A. Sharma, L. Vigilante, S. Wiedenbeck, S. Zaleski, C. Dziwok, G. Flügge, W. Haj Ahmad, O. Hlushchenko, T. Kress, A. Nowack, O. Pooth, A. Stahl, T. Ziemons, A. Zotz, H. Aarup Petersen, M. Aldaya Martin, P. Asmuss, S. Baxter, M. Bayatmakou, O. Behnke, A. Bermúdez Martínez, S. Bhattacharya, A. A. Bin Anuar, F. Blekman, K. Borras, D. Brunner, A. Campbell, A. Cardini, C. Cheng, F. Colombina, S. Consuegra Rodríguez, G. Correia Silva, M. De Silva, L. Didukh, G. Eckerlin, D. Eckstein, L. I. Estevez Banos, O. Filatov, E. Gallo, A. Geiser, A. Giraldi, G. Greau, A. Grohsjean, V. Guglielmi, M. Guthoff, A. Jafari, N. Z. Jomhari, B. Kaech, A. Kasem, M. Kasemann, H. Kaveh, C. Kleinwort, R. Kogler, M. Komm, D. Krücker, W. Lange, D. Leyva Pernia, K. Lipka, W. Lohmann, R. Mankel, I.-A. Melzer-Pellmann, M. Mendizabal Morentin, J. Metwally, A. B. Meyer, G. Milella, M. Mormile, A. Mussgiller, A. Nürnberg, Y. Otarid, D. Pérez Adán, A. Raspereza, B. Ribeiro Lopes, J. Rübenach, A. Saggio, A. Saibel, M. Savitskyi, M. Scham, V. Scheurer, S. Schnake, P. Schütze, C. Schwanenberger, M. Shchedrolosiev, R. E. Sosa Ricardo, D. Stafford, N. Tonon, M. Van De Klundert, F. Vazzoler, A. Ventura Barroso, R. Walsh, D. Walter, Q. Wang, Y. Wen, K. Wichmann, L. Wiens, C. Wissing, S. Wuchterl, Y. Yang, A. Zimermmane Castro Santos, R. Aggleton, A. Albrecht, S. Albrecht, M. Antonello, S. Bein, L. Benato, M. Bonanomi, P. Connor, K. De Leo, M. Eich, K. El Morabit, F. Feindt, A. Fröhlich, C. Garbers, E. Garutti, M. Hajheidari, J. Haller, A. Hinzmann, H. R. Jabusch, G. Kasieczka, R. Klanner, W. Korcari, T. Kramer, V. Kutzner, J. Lange, A. Lobanov, C. Matthies, A. Mehta, L. Moureaux, M. Mrowietz, A. Nigamova, Y. Nissan, A. Paasch, K. J. Pena Rodriguez, M. Rieger, O. Rieger, P. Schleper, M. Schröder, J. Schwandt, H. Stadie, G. Steinbrück, A. Tews, M. Wolf, J. Bechtel, S. Brommer, M. Burkart, E. Butz, R. Caspart, T. Chwalek, A. Dierlamm, A. Droll, N. Faltermann, M. Giffels, J. O. Gosewisch, A. Gottmann, F. Hartmann, M. Horzela, U. Husemann, P. Keicher, M. Klute, R. Koppenhöfer, S. Maier, S. Mitra, Th. Müller, M. Neukum, G. Quast, K. Rabbertz, J. Rauser, D. Savoiu, M. Schnepf, D. Seith, I. Shvetsov, H. J. Simonis, N. Trevisani, R. Ulrich, J. van der Linden, R. F. Von Cube, M. Wassmer, M. Weber, S. Wieland, R. Wolf, S. Wozniewski, S. Wunsch, G. Anagnostou, P. Assiouras, G. Daskalakis, A. Kyriakis, A. Stakia, M. Diamantopoulou, D. Karasavvas, P. Kontaxakis, A. Manousakis-Katsikakis, A. Panagiotou, I. Papavergou, N. Saoulidou, K. Theofilatos, E. Tziaferi, K. Vellidis, E. Vourliotis, I. Zisopoulos, G. Bakas, T. Chatzistavrou, K. Kousouris, I. Papakrivopoulos, G. Tsipolitis, A. Zacharopoulou, K. Adamidis, I. Bestintzanos, I. Evangelou, C. Foudas, P. Gianneios, C. Kamtsikis, P. Katsoulis, P. Kokkas, P. G. Kosmoglou Kioseoglou, N. Manthos, I. Papadopoulos, J. Strologas, M. Csanád, K. Farkas, M. M. A. Gadallah, S. Lökös, P. Major, K. Mandal, G. Pásztor, A. J. Rádl, O. Surányi, G. I. Veres, M. Bartók, G. Bencze, C. Hajdu, D. Horvath, F. Sikler, V. Veszpremi, N. Beni, S. 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Krasnikov, E. Kuznetsova, A. Lanev, P. Levchenko, A. Litomin, O. Lukina, N. Lychkovskaya, V. Makarenko, A. Malakhov, V. Matveev, V. Murzin, A. Nikitenko, S. Obraztsov, V. Okhotnikov, I. Ovtin, V. Palichik, P. Parygin, V. Perelygin, M. Perfilov, G. Pivovarov, V. Popov, E. Popova, O. Radchenko, V. Rusinov, M. Savina, V. Savrin, D. Selivanova, V. Shalaev, S. Shmatov, S. Shulha, Y. Skovpen, S. Slabospitskii, V. Smirnov, D. Sosnov, A. Stepennov, V. Sulimov, A. Terkulov, O. Teryaev, I. Tlisova, M. Toms, A. Toropin, L. Uvarov, A. Uzunian, E. Vlasov, P. Volkov, A. Vorobyev, N. Voytishin, B. S. Yuldashev, A. Zarubin, I. Zhizhin, A. Zhokin, The TOTEM collaboration, G. Antchev, P. Aspell, I. Atanassov, V. Avati, J. Baechler, C. Baldenegro Barrera, V. Berardi, M. Berretti, V. Borshch, E. Bossini, U. Bottigli, M. Bozzo, H. Burkhardt, F. S. Cafagna, M. G. Catanesi, M. Deile, F. De Leonardis, M. Doubek, D. Druzhkin, K. Eggert, V. Eremin, A. Fiergolski, F. Garcia, V. Georgiev, S. Giani, L. Grzanka, J. Hammerbauer, T. Isidori, V. Ivanchenko, M. Janda, A. Karev, J. Kašpar, B. Kaynak, J. Kopal, V. Kundrát, S. Lami, R. Linhart, C. Lindsey, M. V. Lokajíček, L. Losurdo, F. Lucas Rodríguez, M. Macrí, M. Malawski, N. Minafra, S. Minutoli, K. Misan, T. Naaranoja, F. Nemes, H. Niewiadomski, E. Oliveri, F. Oljemark, M. Oriunno, K. Österberg, S. Ozkorucuklu, P. Palazzi, V. Passaro, Z. Peroutka, O. Potok, J. Procházka, M. Quinto, E. Radermacher, E. Radicioni, F. Ravotti, C. Royon, G. Ruggiero, H. Saarikko, V. D. Samoylenko, A. Scribano, J. Široký, J. Smajek, W. Snoeys, R. Stefanovitch, C. Taylor, E. Tcherniaev, N. Turini, O. Urban, V. Vacek, O. Vavroch, J. Welti, J. Williams, and J. Zich

Subjects
Hadron-Hadron Scattering, Top Physics, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract A search for the central exclusive production of top quark-antiquark pairs ( t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ ) is performed for the first time using proton-tagged events in proton-proton collisions at the LHC at a centre-of-mass energy of 13 TeV. The data correspond to an integrated luminosity of 29.4 fb −1. The t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ decay products are reconstructed using the central CMS detector, while forward protons are measured in the CMS-TOTEM precision proton spectrometer. An observed (expected) upper bound on the production cross section of 0.59 (1.14) pb is set at 95% confidence level, for collisions of protons with fractional momentum losses between 2 and 20%.

Published
2024
Full Text
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23. Search for central exclusive production of top quark pairs in proton-proton collisions at s = 13 TeV with tagged protons

Author

Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J., Schöfbeck, R., Schwarz, D., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Kello, T., Rejeb Sfar, H., Van Mechelen, P., Bols, E. S., D’Hondt, J., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Moortgat, S., Morton, A., Müller, D., Sahasransu, A. R., Tavernier, S., Van Doninck, W., Vannerom, D., Clerbaux, B., De Lentdecker, G., Favart, L., Hohov, D., Jaramillo, J., Lee, K., Mahdavikhorrami, M., Makarenko, I., Malara, A., Paredes, S., Pétré, L., Postiau, N., Starling, E., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Niedziela, M., Rendón, C., Roskas, C., Samalan, A., Skovpen, K., Tytgat, M., Van Den Bossche, N., Vermassen, B., Wezenbeek, L., Benecke, A., Bruno, G., Bury, F., Caputo, C., David, P., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Mondal, K., Prisciandaro, J., Taliercio, A., Tran, T. T., Vischia, P., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., Moraes, A., Rebello Teles, P., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Dos Santos Sousa, V., Fonseca De Souza, S., Martins, J., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Torres Da Silva De Araujo, F., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Padula, Sandra S., Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Cheng, T., Javaid, T., Mittal, M., Yuan, L., Ahmad, M., Bauer, G., Hu, Z., Lezki, S., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Milosevic, V., Monti, F., Sharma, R., Tao, J., Thomas-Wilsker, J., Wang, J., Zhang, H., Zhao, J., Agapitos, A., An, Y., Ban, Y., Chen, C., Levin, A., Li, C., Li, Q., Lyu, X., Mao, Y., Qian, S. 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S., Kinnunen, R., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Lotti, M., Martikainen, L., Myllymäki, M., Ott, J., Rantanen, M. m., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Petrow, H., Tuuva, T., Amendola, C., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Jarry, P., Lohezic, V., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Beaudette, F., Buchot Perraguin, A., Busson, P., Cappati, A., Charlot, C., Damas, F., Davignon, O., Diab, B., Falmagne, G., Fontana Santos Alves, B. A., Ghosh, S., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Liu, G., Motta, J., Nguyen, M., Ochando, C., Portales, L., Rembser, J., Salerno, R., Sarkar, U., Sauvan, J. B., Sirois, Y., Tarabini, A., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Bourgatte, G., Brom, J.-M., Chabert, E. C., Collard, C., Darej, D., Goerlach, U., Grimault, C., Le Bihan, A.-C., Van Hove, P., Beauceron, S., Bernet, C., Blancon, B., Boudoul, G., Carle, A., Chanon, N., Choi, J., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Grenier, G., Ille, B., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Sordini, V., Torterotot, L., Vander Donckt, M., Verdier, P., Viret, S., Adamov, G., Lomidze, I., Tsamalaidze, Z., Botta, V., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Erdmann, M., Fackeldey, P., Fasanella, D., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Lee, M. y., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Mondal, S., Mukherjee, S., Noll, D., Novak, A., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Reithler, H., Schmidt, A., Schuler, S. 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B., Milella, G., Mormile, M., Mussgiller, A., Nürnberg, A., Otarid, Y., Pérez Adán, D., Raspereza, A., Ribeiro Lopes, B., Rübenach, J., Saggio, A., Saibel, A., Savitskyi, M., Scham, M., Scheurer, V., Schnake, S., Schütze, P., Schwanenberger, C., Shchedrolosiev, M., Sosa Ricardo, R. E., Stafford, D., Tonon, N., Van De Klundert, M., Vazzoler, F., Ventura Barroso, A., Walsh, R., Walter, D., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Wuchterl, S., Yang, Y., Zimermmane Castro Santos, A., Aggleton, R., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bonanomi, M., Connor, P., De Leo, K., Eich, M., El Morabit, K., Feindt, F., Fröhlich, A., Garbers, C., Garutti, E., Hajheidari, M., Haller, J., Hinzmann, A., Jabusch, H. R., Kasieczka, G., Klanner, R., Korcari, W., Kramer, T., Kutzner, V., Lange, J., Lobanov, A., Matthies, C., Mehta, A., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Pena Rodriguez, K. 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T., Berry, D., Berryhill, J., Bhat, P. C., Burkett, K., Butler, J. N., Canepa, A., Cerati, G. B., Cheung, H. W. K., Chlebana, F., Di Petrillo, K. F., Dickinson, J., Elvira, V. D., Feng, Y., Freeman, Gandrakota, A., Gecse, Z., Gray, L., Green, D., Grünendahl, S., Gutsche, O., Harris, R. M., Heller, R., Herwig, T. C., Hirschauer, J., Horyn, L., Jayatilaka, B., Jindariani, S., Johnson, M., Joshi, U., Klijnsma, T., Klima, B., Kwok, K. H. M., Lammel, S., Lincoln, D., Lipton, R., Liu, T., Madrid, C., Maeshima, K., Mantilla, C., Mason, D., McBride, P., Merkel, P., Mrenna, S., Nahn, S., Ngadiuba, J., Noonan, D., Papadimitriou, V., Pastika, N., Pedro, K., Pena, C., Ravera, F., Reinsvold Hall, A., Ristori, L., Sexton-Kennedy, E., Smith, N., Soha, A., Spiegel, L., Strait, J., Taylor, L., Tkaczyk, S., Tran, N. V., Uplegger, L., Vaandering, E. W., Weber, H. A., Zoi, I., Avery, P., Bourilkov, D., Cadamuro, L., Cherepanov, V., Field, R. D., Guerrero, D., Kim, M., Koenig, E., Konigsberg, J., Korytov, A., Lo, K. H., Matchev, K., Menendez, N., Mitselmakher, G., Muthirakalayil Madhu, A., Rawal, N., Rosenzweig, D., Rosenzweig, S., Shi, K., Wang, J., Wu, Z., Adams, T., Askew, A., Habibullah, R., Hagopian, V., Khurana, R., Kolberg, T., Martinez, G., Prosper, H., Schiber, C., Viazlo, O., Yohay, R., Zhang, J., Baarmand, M. M., Butalla, S., Elkafrawy, T., Hohlmann, M., Kumar Verma, R., Rahmani, M., Yumiceva, F., Adams, M. R., Becerril Gonzalez, H., Cavanaugh, R., Dittmer, S., Evdokimov, O., Gerber, C. E., Hofman, D. J., Lemos, D. S., Merrit, A. H., Mills, C., Oh, G., Roy, T., Rudrabhatla, S., Tonjes, M. B., Varelas, N., Wang, X., Ye, Z., Yoo, J., Alhusseini, M., Dilsiz, K., Emediato, L., Gandrajula, R. P., Karaman, G., Köseyan, O. K., Merlo, J.-P., Mestvirishvili, A., Nachtman, J., Neogi, O., Ogul, H., Onel, Y., Penzo, A., Snyder, C., Tiras, E., Amram, O., Blumenfeld, B., Corcodilos, L., Davis, J., Gritsan, A. V., Kang, L., Kyriacou, S., Maksimovic, P., Roskes, J., Sekhar, S., Swartz, M., Vámi, T. Á., Abreu, A., Alcerro Alcerro, L. F., Anguiano, J., Baringer, P., Bean, A., Flowers, Z., Khalil, S., King, J., Krintiras, G., Lazarovits, M., Le Mahieu, C., Marquez, J., Murray, M., Nickel, M., Rogan, C., Salvatico, R., Sanders, S., Schmitz, E., Smith, C., Wang, Q., Wilson, G., Allmond, B., Duric, S., Gujju Gurunadha, R., Ivanov, A., Kaadze, K., Kim, D., Maravin, Y., Mitchell, T., Modak, A., Nam, K., Natoli, J., Roy, D., Rebassoo, F., Wright, D., Adams, E., Baden, A., Baron, O., Belloni, A., Bethani, A., Eno, S. C., Hadley, N. J., Jabeen, S., Kellogg, R. G., Koeth, T., Lai, Y., Lascio, S., Mignerey, A. C., Nabili, S., Palmer, C., Papageorgakis, C., Seidel, M., Wang, L., Wong, K., Abercrombie, D., Bi, R., Busza, W., Cali, I. A., Chen, Y., D’Alfonso, M., Eysermans, J., Freer, C., Gomez-Ceballos, G., Goncharov, M., Harris, P., Hu, M., Kovalskyi, D., Krupa, J., Lee, Y.-J., Long, K., Mironov, C., Paus, C., Rankin, D., Roland, C., Roland, G., Shi, Z., Stephans, G. S. F., Wang, J., Wang, Z., Wyslouch, B., Chatterjee, R. M., Crossman, B., Evans, A., Hiltbrand, J., Jain, Sh., Joshi, B. M., Kapsiak, C., Krohn, M., Kubota, Y., Mans, J., Revering, M., Rusack, R., Saradhy, R., Schroeder, N., Strobbe, N., Wadud, M. A., Cremaldi, L. M., Bloom, K., Bryson, M., Claes, D. R., Fangmeier, C., Finco, L., Golf, F., Joo, C., Kravchenko, I., Reed, I., Siado, J. E., Snow, G. R., Tabb, W., Wightman, A., Yan, F., Zecchinelli, A. G., Agarwal, G., Bandyopadhyay, H., Hay, L., Iashvili, I., Kharchilava, A., McLean, C., Morris, M., Nguyen, D., Pekkanen, J., Rappoccio, S., Williams, A., Alverson, G., Barberis, E., Haddad, Y., Han, Y., Krishna, A., Li, J., Lidrych, J., Madigan, G., Marzocchi, B., Morse, D. M., Nguyen, V., Orimoto, T., Parker, A., Skinnari, L., Tishelman-Charny, A., Wamorkar, T., Wang, B., Wisecarver, A., Wood, D., Bhattacharya, S., Bueghly, J., Chen, Z., Gilbert, A., Gunter, T., Hahn, K. A., Liu, Y., Odell, N., Schmitt, M. H., Velasco, M., Band, R., Bucci, R., Castells, S., Cremonesi, M., Das, A., Goldouzian, R., Hildreth, M., Hurtado Anampa, K., Jessop, C., Lannon, K., Lawrence, J., Loukas, N., Lutton, L., Mariano, J., Marinelli, N., Mcalister, I., McCauley, T., Mcgrady, C., Mohrman, K., Moore, C., Musienko, Y., Nelson, H., Ruchti, R., Townsend, A., Wayne, M., Yockey, H., Zarucki, M., Zygala, L., Bylsma, B., Carrigan, M., Durkin, L. S., Francis, B., Hill, C., Lesauvage, A., Nunez Ornelas, M., Wei, K., Winer, B. L., Yates, B. R., Addesa, F. M., Bonham, B., Das, P., Dezoort, G., Elmer, P., Frankenthal, A., Greenberg, B., Haubrich, N., Higginbotham, S., Kalogeropoulos, A., Kopp, G., Kwan, S., Lange, D., Marlow, D., Mei, K., Ojalvo, I., Olsen, J., Stickland, D., Tully, C., Malik, S., Norberg, S., Bakshi, A. S., Barnes, V. E., Chawla, R., Das, S., Gutay, L., Jones, M., Jung, A. W., Kondratyev, D., Koshy, A. M., Liu, M., Negro, G., Neumeister, N., Paspalaki, G., Piperov, S., Purohit, A., Schulte, J. F., Stojanovic, M., Thieman, J., Wang, F., Xiao, R., Xie, W., Dolen, J., Parashar, N., Acosta, D., Baty, A., Carnahan, T., Decaro, M., Dildick, S., Ecklund, K. M., Fernández Manteca, P. J., Freed, S., Gardner, P., Geurts, F. J. M., Kumar, A., Li, W., Padley, B. P., Redjimi, R., Rotter, J., Shi, W., Yang, S., Yigitbasi, E., Zhang, L., Zhang, Y., Zuo, X., Bodek, A., de Barbaro, P., Demina, R., Dulemba, J. L., Fallon, C., Ferbel, T., Galanti, M., Garcia-Bellido, A., Hindrichs, O., Khukhunaishvili, A., Ranken, E., Taus, R., Van Onsem, G. P., Goulianos, K., Chiarito, B., Chou, J. P., Gershtein, Y., Halkiadakis, E., Hart, A., Heindl, M., Jaroslawski, D., Karacheban, O., Laflotte, I., Lath, A., Montalvo, R., Nash, K., Osherson, M., Salur, S., Schnetzer, S., Somalwar, S., Stone, R., Thayil, S. A., Thomas, S., Wang, H., Acharya, H., Delannoy, A. G., Fiorendi, S., Holmes, T., Nibigira, E., Spanier, S., Bouhali, O., Dalchenko, M., Delgado, A., Eusebi, R., Gilmore, J., Huang, T., Kamon, T., Kim, H., Luo, S., Malhotra, S., Mueller, R., Overton, D., Rathjens, D., Safonov, A., Akchurin, N., Damgov, J., Hegde, V., Lamichhane, K., Lee, S. W., Mengke, T., Muthumuni, S., Peltola, T., Volobouev, I., Wang, Z., Whitbeck, A., Appelt, E., Greene, S., Gurrola, A., Johns, W., Melo, A., Romeo, F., Sheldon, P., Tuo, S., Velkovska, J., Viinikainen, J., Cardwell, B., Cox, B., Cummings, G., Hakala, J., Hirosky, R., Joyce, M., Ledovskoy, A., Li, A., Neu, C., Perez Lara, C. E., Tannenwald, B., Karchin, P. E., Poudyal, N., Banerjee, S., Black, K., Bose, T., Dasu, S., De Bruyn, I., Everaerts, P., Galloni, C., He, H., Herndon, M., Herve, A., Koraka, C. K., Lanaro, A., Loeliger, A., Loveless, R., Madhusudanan Sreekala, J., Mallampalli, A., Mohammadi, A., Mondal, S., Parida, G., Pinna, D., Savin, A., Shang, V., Sharma, V., Smith, W. H., Teague, D., Tsoi, H. F., Vetens, W., Afanasiev, S., Andreev, V., Andreev, Yu., Aushev, T., Azarkin, M., Babaev, A., Belyaev, A., Blinov, V., Boos, E., Budkouski, D., Bunichev, V., Bychkova, O., Chadeeva, M., Chekhovsky, V., Dermenev, A., Dimova, T., Dremin, I., Dubinin, M., Dudko, L., Epshteyn, V., Gavrilov, G., Gavrilov, V., Gninenko, S., Golovtcov, V., Golubev, N., Golutvin, I., Gorbunov, I., Gribushin, A., Ivanov, Y., Kachanov, V., Kardapoltsev, L., Karjavine, V., Karneyeu, A., Kim, V., Kirakosyan, M., Kirpichnikov, D., Kirsanov, M., Klyukhin, V., Konstantinov, D., Korenkov, V., Kozyrev, A., Krasnikov, N., Kuznetsova, E., Lanev, A., Levchenko, P., Litomin, A., Lukina, O., Lychkovskaya, N., Makarenko, V., Malakhov, A., Matveev, V., Murzin, V., Nikitenko, A., Obraztsov, S., Okhotnikov, V., Ovtin, I., Palichik, V., Parygin, P., Perelygin, V., Perfilov, M., Pivovarov, G., Popov, V., Popova, E., Radchenko, O., Rusinov, V., Savina, M., Savrin, V., Selivanova, D., Shalaev, V., Shmatov, S., Shulha, S., Skovpen, Y., Slabospitskii, S., Smirnov, V., Sosnov, D., Stepennov, A., Sulimov, V., Terkulov, A., Teryaev, O., Tlisova, I., Toms, M., Toropin, A., Uvarov, L., Uzunian, A., Vlasov, E., Volkov, P., Vorobyev, A., Voytishin, N., Yuldashev, B. S., Zarubin, A., Zhizhin, I., Zhokin, A., Antchev, G., Aspell, P., Atanassov, I., Avati, V., Baechler, J., Baldenegro Barrera, C., Berardi, V., Berretti, M., Borshch, V., Bossini, E., Bottigli, U., Bozzo, M., Burkhardt, H., Cafagna, F. S., Catanesi, M. G., Deile, M., De Leonardis, F., Doubek, M., Druzhkin, D., Eggert, K., Eremin, V., Fiergolski, A., Garcia, F., Georgiev, V., Giani, S., Grzanka, L., Hammerbauer, J., Isidori, T., Ivanchenko, V., Janda, M., Karev, A., Kašpar, J., Kaynak, B., Kopal, J., Kundrát, V., Lami, S., Linhart, R., Lindsey, C., Lokajíček, M. V., Losurdo, L., Lucas Rodríguez, F., Macrí, M., Malawski, M., Minafra, N., Minutoli, S., Misan, K., Naaranoja, T., Nemes, F., Niewiadomski, H., Oliveri, E., Oljemark, F., Oriunno, M., Österberg, K., Ozkorucuklu, S., Palazzi, P., Passaro, V., Peroutka, Z., Potok, O., Procházka, J., Quinto, M., Radermacher, E., Radicioni, E., Ravotti, F., Royon, C., Ruggiero, G., Saarikko, H., Samoylenko, V. D., Scribano, A., Široký, J., Smajek, J., Snoeys, W., Stefanovitch, R., Taylor, C., Tcherniaev, E., Turini, N., Urban, O., Vacek, V., Vavroch, O., Welti, J., Williams, J., and Zich, J.

Published
2024
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24. Using Video to Identify What Is Not Known in Students' Mathematical Thinking

Author

Anantharajan, Madhuvanti and Jarry-Shore, Michael

Abstract

Remaining continually curious about students' mathematical thinking is challenging, yet worthwhile, in teaching practice. This paper describes and analyzes two video-based professional learning (PL) activities designed to help teachers go beyond their initial perceptions of what students understand and to identify what else they might learn about students' thinking. The findings suggest the potential of the activities to evoke different types of curiosity about student-thinking and the conditions that may support such questioning. [For the complete proceedings, see ED630210.]

Published
2022

25. STING‐ATF3/type I interferon crosstalk: A potential target to improve anti‐tumour immunity in chemotherapy‐treated urothelial carcinoma

Author

Alexandra Fauvre, Margot Machu, Audrey Merienne, Nadia Vie, Thomas Bessede, Mathilde Robin, Veronique Garambois, Clara Taffoni, Nadine Laguette, Nadine Gervois‐Segain, Anne Jarry, Nathalie Labarriere, Yves Allory, Christel Larbouret, Laurent Gros, Diego Tosi, David B. Solit, Philippe Pourquier, Nadine Houédé, and Celine Gongora

Subjects
Medicine (General), R5-920
Published
2024
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26. Protocol to generate two distinct standard-of-care murine glioblastoma models for evaluating novel combination therapies

Author

Raphael Pineau, Pierre Jean Le Reste, Tony Avril, Ulrich Jarry, Eric Chevet, and Diana Pelizzari-Raymundo

Subjects
cell culture, cancer, model organisms, molecular biology, Science (General), Q1-390
Abstract

Summary: In cancer research, murine models play a crucial role as highly valuable preclinical tools. Here, we present a protocol to generate a murine model of glioblastoma through the direct intracranial injection of tumor cells. We describe steps for cell culture, intracranial implantation, and standard-of-care treatments. We then detail procedures for monitoring tumor growth using bioluminescent imaging.For complete details on the use and execution of this protocol, please refer to Pelizzari-Raymundo et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Published
2024
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28. Examining Model Similarity for Exercise Self-Efficacy among Adults Recovering from a Stroke: A Community-Based Exercise Program

Author

Olivia L. Pastore, François Jarry, Jammy Zou, Jennifer R. Tomasone, Luc J. Martin, Véronique Pagé, and Shane N. Sweet

Subjects
modelling, peers, single-case design, self-efficacy, stroke, Vocational rehabilitation. Employment of people with disabilities, HD7255-7256
Abstract

We used a single-case experimental research design to examine the effect of modelling (peer versus non-peer) on exercise self-efficacy in stroke survivors who participated in a community-based exercise program. Data were obtained using an ABCA design: (A1) no model/baseline 1 (3 weeks); (B) peer model (6 weeks); (C) non-peer model (6 weeks); and (A2) no model/baseline 2 (3 weeks). Four participants completed self-efficacy questionnaires after each weekly session. Overall, participants reported higher exercise self-efficacy in the model conditions (Cohen’s d range from −0.37 to 4.22), with ratings appearing highest for the non-peer model. Modelling in general may help stroke survivors increase their exercise self-efficacy. Lastly, we provide our reflections on the pragmatics of completing a study within a community setting.

Published
2024
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29. COMPTEL data analysis using GammaLib and ctools

Author

Knödlseder, Jürgen, Collmar, Werner, Jarry, Manon, and McConnell, Mark

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

More than 20 years after the end of NASA's Compton Gamma-Ray Observatory mission, the data collected by its Imaging Compton Telescope (COMPTEL) still provide the most comprehensive and deepest view of our Universe in MeV gamma rays. While most of the COMPTEL data are archived at NASA's High Energy Astrophysics Science Archive Research Center (HEASARC), the absence of any publicly available software for their analysis means the data cannot benefit from the scientific advances made in the field of gamma-ray astronomy at higher energies. To make this unique treasure again accessible for science, we developed open source software that enables a comprehensive and modern analysis of the archived COMPTEL telescope data. Our software is based on a dedicated plug-in to the GammaLib library, a community-developed toolbox for the analysis of astronomical gamma-ray data. We implemented high-level scripts for building science analysis workflows in ctools, a community-developed gamma-ray astronomy science analysis software framework. We describe the implementation of our software and provide the underlying algorithms. Using data from the HEASARC archive, we demonstrate that our software reproduces derived data products that were obtained in the past using the proprietary COMPTEL software. We furthermore demonstrate that our software reproduces COMPTEL science results published in the literature. This brings the COMPTEL telescope data back into life, allowing them to benefit from recent advances in gamma-ray astronomy, and gives the community a means to unveil its still hidden treasures., Comment: 31 pages, 23 figures

Published
2022
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30. Incidence, prevalence and clinical presentation of inflammatory bowel diseases in Northern France: a 30-year population-based studyResearch in context

Author

Hélène Sarter, Thibaut Crétin, Guillaume Savoye, Mathurin Fumery, Ariane Leroyer, Luc Dauchet, Thierry Paupard, Hugues Coevoet, Pauline Wils, Nicolas Richard, Dominique Turck, Delphine Ley, Corinne Gower-Rousseau, Eric Agoute, Najib Al Ghossaini, Raied Al Hameedi, Myriam Al Khatib, Saria Al Turk, Jean-Marie Andre, Matthieu Antoine, Michel Antonietti, Amar Aouakli, Laura Armengol-Debeir, Ibrahim Aroichane, Fadi Assi, Eric Auxenfants, Alina Avram, Kassem Azzouzi, Damyan Bankovski, Bernard Barbry, Nicolas Bardoux, Philippe Baron, Anne Baudet, Pauline Bayart, Brice Bazin, Arash Bebahani, Jean-Pierre Becqwort, Houssem Ben Ali, Emmanuel Ben Soussan, Coralie Benard, Vincent Benet, Corinne Benguigui, Abdeslam Bental, Sara Bentaleb-Bellati, Isabelle Berkelmans, Jacques Bernet, Karine Bernou, Nathalie Bertiaux-Vandaele, Pauline Bertot, Valérie Bertrand, Emilie Biloud, Nathalie Biron, Benjamin Bismuth, Cyril Blanchard, Maurice Bleuez, Fabienne Blondel, Valérie Blondin, Marius Bobula, Philippe Bohont, Eléonore Boivin, Vanessa Bon Djemah, Eric Boniface, Philippe Bonniere, Pierre Bonvarlet, Arnaud Boruchowicz, Raoul Bostvironnois, Médina Boualit, Ahlem Bouazza, Bruno Bouche, Christian Boudailler, Claude Bourgeaux, Morgane Bourgeois-Fumery, Arnaud Bourguet, Agnès Bourienne, Hamza Boutaleb, Alexis Bouthors, Julien Branche, Franck Brazier, Marie Bridenne, Hélène Brihier, Laura Bril, Philippe Bulois, Pierre Burgiere, Joël Butel, Jean-Yves Canva, Valérie Canva-Delcambre, Florence Cardot, Sandrine Carette, Pierre Carpentier, Michel Cassagnou, Jean-François Cassar, François Castex, Pascale Catala, Stéphane Cattan, Sylviane Catteau, Bernard Caujolle, Gérard Cayron, Catherine Chandelier, Cloé Charpentier, Marthe Chavance-Thelu, Agathe Cheny, Dinu Chirita, Antoine Choteau, Jean-François Claerbout, Pierre-Yves Clergue, Gil Cohen, Marie Colin, Régis Collet, Jean-Frédéric Colombel, Stéphanie Coopman, Lucie Cordiez, Antoine Cortot, Jean Corvisart, Frédéric Couttenier, Jean-François Crinquette, Valérie Crombe, Abdelhakim Daoudi, Vincent Dapvril, Thierry Davion, Sébastien Decoster, Laurent Defontaine, Nicolas Degrave, Aurélien Dejaeger, Richard Delcenserie, Marine Deleplanque, Dorothée Delesalle, Olivier Delette, Thierry Delgrange, Laurence Delhoustal, Jean-Stéphane Delmotte, Sabri Demmane, Guy Deregnaucourt, Constance Deschepper, Jean-Pierre Desechalliers, Patrick Desmet, Pierre Desreumaux, Gérard Desseaux, Philippe Desurmont, Alain Devienne, Eve Devouge, Alex Devroux, Arnaud Dewailly, Sébastien Dharancy, Aude Di Fiore, Emmanuel Diaz, Djamal-Dine Djeddi, Rachid Djedir, Wissam Doleh, Marie-Laure Dreher-Duwat, Richard Dubois, Clothilde Duburque, Frédéric Ducrot, Philippe Ducrotte, André Dufilho, Christian Duhamel, Caroline Dumant-Forest, Jean-Louis Dupas, Frédéric Dupont, Yves Duranton, Arnaud Duriez, Nicolas Duveau, Mohammadi El Farisi, Khalil El Hachkar, Caroline Elie, Marie-Claire Elie-Legrand, Matthieu Eoche, Essmaeel Essmaeel, Dominique Evrard, Jean-Paul Evrard, Armelle Fatome, Karima Fellah-Sekkai, Bernard Filoche, Laurent Finet, Mathilde Flahaut, Camille Flamme, David Foissey, Peggy Fournier, Philippe Foutrein, Marie-Christine Foutrein-Comes, Thierry Frere, Julie Galand, Philippe Gallais, Claudine Gamblin, Serge Ganga, Romain Gerard, Guillaume Geslin, Yves Gheyssens, Salah Ghrib, Thierry Gilbert, Bénédicte Gillet, Denis Godart, Jean-Michel Godchaux, Guetty Goeguebeur, Odile Goria, Frédéric Gottrand, Philippe Gower, Lucien Grados, Brigitte Grandmaison, Marion Groux, Claire Guedon, Loïc Guerbeau, Mathilde Gueroult-Dero, Jean-François Guillard, Laurence Guillem, François Guillemot, Dominique Guimber, Baya Haddouche, Vincent Hautefeuille, Philippe Hecketsweiller, Geneviève Hecquet, Jean-Pierre Hedde, Hassina Hellal, Pierre-Emmanuel Henneresse, Michel Heraud, Sophie Herve, Bruno Heyman, Patrick Hochain, Philippe Houcke, Lucie Houssin-Baillly, Bruno Huguenin, Silviu Iobagiu, Shata Istanboli, Alexsandar Ivanovic, Isabelle Iwanicki-Caron, Eric Janicki, Marine Jarry, Charlotte Jean Bart, Claude Jonas, Julia Jougon, Anne Jouvenet, Naeim Kassar, Fadi Katherin, Alfred Kerleveo, Ali Khachfe, Alfred Kiriakos, Jean Kiriakos, Olivier Klein, Matthieu Kohut, Richard Kornhauser, Demetrios Koutsomanis, Jean-Eric Laberenne, Eric Lacotte, Guy Laffineur, Marine Lagarde, Anouck Lahaye, Arnaud Lalanne, Ambroise Lalieu, Pierre Lannoy, José Lapchin, Michel Laprand, Denis Laude, Christian Le Couteulx, Charles Le Goffic, Alain Le Grix, Jean-Philippe Le Mouel, Pauline Le Roy, Rachida Leblanc, Paul Lecieux, Stéphane Lecleire, Nathalie Leclerc, Jean Ledent, Jean Lefebvre, Pascale Lefilliatre, Céline Legrand, Patrick Lelong, Bernard Leluyer, Caroline Lemaitre, Lucie Lepileur, Antoine Leplat, Elodie Lepoutre-Dujardin, Gabriel Leppeut, Henri Leroi, Maryvonne Leroy, Benoît Lesage, Jocelyn Lesage, Xavier Lesage, Isabelle Lescanne-Darchis, Dominique Lescut, Bruno Leurent, Michel Lhermie, Louise Libier, Bernard Lisambert, Isabelle Loge, Julien Loreau, Alexandre Louvet, Joséphine Lozinguez, Henri Lubrez, Damien Lucidarme, Jean-Jacques Lugand, Olivier Macaigne, Denis Maetz, Dominique Maillard, Hubert Mancheron, Olivia Manolache, Anne-Bérengère Marks-Brunel, Charline Marre, Raymond Marti, Eric Marzloff, Philippe Mathurin, Jacques Mauillon, Vincent Maunoury, Jean-Luc Maupas, Michèle-Ange Medam Djomo, Chloé Melchior, Ziad Melki, B. Mesnard, Patrice Metayer, Lofti Methari, Franck Meurisse, Laurent Michaud, Patricia Modaine, Angélique Monthe, Loïk Morel, Mathilde Morin, Pierre-Eugène Mortier, Perrine Mortreux, Olivier Mouterde, Nicolas Mozziconaci, Jean Mudry, Maria Nachuri, Minh Dung Ngo, Eric N'guyen Khac, Bertrand Notteghem, Vincent Ollevier, Atika Ouraghi, Barriza Oussadou, Dominique Ouvry, Bernard Paillot, Claire Painchart, Nicole Panien-Claudot, Christian Paoletti, Arsène Papazian, Bruno Parent, Jean-Claude Paris, Philippe Patrier, Bernard Pauwels, Mathieu Pauwels, Richard Petit, Muriel Piat, Sandrine Piotte, Christophe Plane, Bernard Plouvier, Eric Pollet, Pierre Pommelet, Daniela Pop, Charlotte Pordes, Gérard Pouchain, Philippe Prades, Jean-Christophe Prevost, Manon Pruit, Gilles Quartier, Anne-Marie Queuniet, Jean-François Quinton, Alain Rabache, Gilles Raclot, Sébastien Ratajczyk, Nicole Reix, Thibaud Renaut-Vantroys, Marine Revillion, Ghassan Riachi, Clémentine Riault, Cécile Richez, Benoît Rimbert, Philippe Robinson, Juan Daniel Rodriguez, Jean Roger, Jean-Marc Roux, Alain Rudelli, Clémence Saingier, Patrick Schlossberg, David Sefrioui, Michel Segrestin, David Seguy, Célik Seminur, François Sevenet, Jean Silvie, Claire Spyckerelle, Nathalie Talbodec, Noémie Tavernier, Henriette Tchandeu, Aurore Techy, Jean-Luc Thelu, Henri Thiebault, Jean-Marie Thorel, Christophe Thuillier, Guillaume Tielman, Manuella Tode, Jean Tonnel, Jean-Yves Touchais, Audrey Toulemonde-Huguet, Pierre Toumelin, Yvan Touze, Léa Tran, Jean-Luc Tranvouez, Nadia Triki, Justine Turpin, Eric Vaillant, Claude Valmage, Dominique Vanco, Nathalie Vandaele-Bertiaux, Hélène Vandamme, Elise Vander Eeken, Etienne Vanderbercq, Philippe Vandermollen, Philippe Vandevenne, Lionel Vandeville, Alain Vandewalle, Jean-Pierre Vanhoove, Audrey Vanrenterghem, Charlotte Vanveuren, Iona Vasies, Guy Verbiese, Juliette Verlynde, Philippe Vermelle, Christine Verne, Gwenola Vernier-Massouille, Perrine Vezelier-Cocq, Juliette Viart, Benoît Vigneron, Marc Vincendet, Jacques Viot, Y.M. Voiment, Jean-Yves Wallez, Michel Wantier, Faustine Wartel, Jean-Christian Weber, Jean-Louis Willocquet, Nathalie Wizla, Eric Wolschies, Tajiogue Yimfor, Oana Zahara, Alberto Zalar, Sonia Zaoui, and Anne Zellweger

Subjects
Inflammatory bowel disease, Incidence, Prevalence, Population-based registry, Crohn’s disease, Ulcerative colitis, Public aspects of medicine, RA1-1270
Abstract

Summary: Background: In industrialized countries, the incidence of inflammatory bowel disease (IBD) appears stabilized. This study examined the incidence and phenotype of IBD in Northern France over a 30-year period. Methods: Including all IBD patients recorded in the EPIMAD population-based registry from 1988 to 2017 in Northern France, we described the incidence and clinical presentation of IBD according to age, sex and time. Findings: A total of 22,879 incident IBD cases were documented (59% (n = 13,445) of Crohn’s disease (CD), 38% (n = 8803) of ulcerative colitis (UC), 3% (n = 631) of IBD unclassified (IBDU)). Over the study period, incidence of IBD, CD and UC was 12.7, 7.2 and 5.1 per 105 person-years, respectively. The incidence of CD increased from 5.1/105 in 1988–1990 to 7.9/105 in 2015–2017 (annual percent change (APC): +1.9%, p

Published
2024
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31. Differential impact of genetic deletion of TIGIT or PD-1 on melanoma-specific T-lymphocytes

Author

Gwenann Cadiou, Tiffany Beauvais, Lucine Marotte, Sylvia Lambot, Cécile Deleine, Caroline Vignes, Malika Gantier, Melanie Hussong, Samuel Rulli, Anne Jarry, Sylvain Simon, Bernard Malissen, and Nathalie Labarriere

Subjects
Adoptive cell transfer, CD8+ T cell clones, gene editing, immunotherapy, melanoma, PD-1, Immunologic diseases. Allergy, RC581-607, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Immune checkpoint (IC) blockade and adoptive transfer of tumor-specific T-cells (ACT) are two major strategies to treat metastatic melanoma. Their combination can potentiate T-cell activation in the suppressive tumor microenvironment, but the autoimmune adverse effects associated with systemic injection of IC blockers persist with this strategy. ACT of tumor-reactive T-cells defective for IC expression would overcome this issue. For this purpose, PD-1 and TIGIT appear to be relevant candidates, because their co-expression on highly tumor-reactive lymphocytes limits their therapeutic efficacy within the tumor microenvironme,nt. Our study compares the consequences of PDCD1 or TIGIT genetic deletion on anti-tumor properties and T-cell fitness of melanoma-specific T lymphocytes. Transcriptomic analyses revealed down-regulation of cell cycle-related genes in PD-1KO T-cells, consistent with biological observations, whereas proliferative pathways were preserved in TIGITKO T-cells. Functional analyses showed that PD-1KO and TIGITKO T-cells displayed superior antitumor reactivity than their wild-type counterpart in vitro and in a preclinical melanoma model using immunodeficient mice. Interestingly, it appears that TIGITKO T-cells were more effective at inhibiting tumor cell proliferation in vivo, and persist longer within tumors than PD-1KO T-cells, consistent with the absence of impact of TIGIT deletion on T-cell fitness. Taken together, these results suggest that TIGIT deletion, over PD-1 deletion, in melanoma-specific T-cells is a compelling option for future immunotherapeutic strategies.

Published
2024
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32. The New ‘Golden Age’ of Dentistry: A Highly Desirable Profession with Unprecedented Global Opportunities in Industry Settings

Author

Artemiz Seif, Christian R. Jarry, and Amélie Michèle Chauvel

Subjects
Mega trends, dentistry, professional pathways, Dentistry, RK1-715
Abstract

ABSTRACTBackground Dentistry 1.0, an era where the patient journey was embedded in fully analog realities gave way to a 2.0 era of select digitalization since the late 1990s. Now, we are arguably at another tipping point, where for the foreseeable future digital workflows and solutions are expected to influence every aspect of the patient journey and big data becomes the new healthcare currency. With this, the dental profession’s perspective on how to best serve the entire patient journey must also expand to explore unprecedented opportunities to unobstruct another layer of critical choke points and unlock further value in global oral health. Consider some examples. Today, the global patient journey is already obstructed well before the point of care due to insufficient global coverage and imbalanced geographic distribution of dentists. While there is a growing and aging global population, the majority of dentists serve only a minority of the human population. Such coverage gaps fuel the already growing trend of patients who consume health insights online. Going forward, those who respond to the needs of more empowered and well-informed patients are poised to be the partners of choice for modern patients who increasingly expect to take ownership in their own health journey. In addition, the Age of Information has decisively accelerated toward the Age of Intelligence. This expands our imagination in new ways, not only on how to keep up with, but also how to influence the latest scientific, clinical, economic, social, and technological developments for the greater good. Meanwhile, there are real dichotomies worth noting. For instance, the relevance of dental education to dental practice is under increasing pressure. The norm in dental education remains relatively analog curricula, which struggles to adapt considering the rate of change far exceeds the average dental school reality and capabilities. This means newly graduated dentists increasingly face this rapid digitalization alone. Such pressures further fuel other trends, such as the rise of corporate dentistry and acceleration of non-traditional players in the field. In a world when in any given week the equivalent of half of America passes through a Walmart, it is not hard to see why such big retailers find it attractive to enter healthcare. In this article, the authors explore key mega trends influencing dentistry and reflect on the oral healthcare ecosystem beyond the clinic, where clinical knowledge and skills are relevant and needed.Description Today’s global realities offer dentists unprecedented opportunities to expand their professional impact and presence well beyond established norms of clinical practice, academics, and research. The authors offer readers insights into relevant trends and give specific examples, from first-hand experiences, of professional pathways suitable for dentists in medical device and technology settings, including in contexts of innovation, development, marketing, education, sales, and post-market surveillance.

Published
2024
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33. Student Struggle during Collaborative Problem-Solving in One Mathematics Classroom

Author

Jarry-Shore, Michael and Anantharajan, Madhuvanti

Abstract

In solving mathematics problems in collaboration, students encounter a range of mathematical and social struggles. As teachers cannot possibly respond to every such struggle, they may need to respond to those with which students require most support. Yet, little is known about students' success in overcoming the various types of struggle they encounter. In this study, we examined the types of struggle students experienced as they worked together in solving a cognitively-demanding problem. We analyzed the relative proportions of the various types of struggle they encountered, their success in overcoming each type, and the resources they leveraged in doing so. While students overcame many mathematical struggles, they had less success overcoming struggles related to reaching consensus or having their questions answered by peers. We argue that teachers may merit from support in learning to attend to these latter, more social struggles. [For the complete proceedings, see ED630060.]

Published
2021

34. Clinical relevance of transcranial Doppler in a cardiac surgery setting: embolic load predicts difficult separation from cardiopulmonary bypass

Author

Stéphanie Jarry, Etienne J. Couture, William Beaubien-Souligny, Armindo Fernandes, Annik Fortier, Walid Ben-Ali, Georges Desjardins, Karel Huard, Tanya Mailhot, and André Y. Denault

Subjects
Transcranial Doppler, Cardiac surgery, Cardiopulmonary bypass, High intensity transient signal, Cerebral microemboli, Surgery, RD1-811, Anesthesiology, RD78.3-87.3
Abstract

Abstract Background During cardiac surgery, transcranial Doppler (TCD) represents a non-invasive modality that allows measurement of red blood cell flow velocities in the cerebral arteries. TCD can also be used to detect and monitor embolic material in the cerebral circulation. Detection of microemboli is reported as a high intensity transient signal (HITS). The importance of cerebral microemboli during cardiac surgery has been linked to the increased incidence of postoperative renal failure, right ventricular dysfunction, and hemodynamic instability. The objective of this study is to determine whether the embolic load is associated with hemodynamic instability during cardiopulmonary bypass (CPB) separation and postoperative complications. Methods A retrospective single-centre cohort study of 354 patients undergoing cardiac surgery between December 2015 and March 2020 was conducted. Patients were divided in tertiles, where 117 patients had a low quantity of embolic material (LEM), 119 patients have a medium quantity of microemboli (MEM) and 118 patients who have a high quantity of embolic material (HEM). The primary endpoint was a difficult CPB separation. Multivariate logistic regression was used to determine the potential association between a difficult CPB separation and the number of embolic materials. Results Patients who had a difficult CPB separation had more HITS compared to patients who had a successful CPB separation (p

Published
2024
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35. The Identification of New c-FLIP Inhibitors for Restoring Apoptosis in TRAIL-Resistant Cancer Cells

Author

Katherine Yaacoub, Rémy Pedeux, Pierre Lafite, Ulrich Jarry, Samia Aci-Sèche, Pascal Bonnet, Richard Daniellou, and Thierry Guillaudeux

Subjects
c-FLIP, TRAIL, apoptosis, protein–protein interaction, drug resistance, cancer treatment, Biology (General), QH301-705.5
Abstract

The catalytically inactive caspase-8-homologous protein, c-FLIP, is a potent antiapoptotic protein highly expressed in various types of cancers. c-FLIP competes with caspase-8 for binding to the adaptor protein FADD (Fas-Associated Death Domain) following death receptors’ (DRs) activation via the ligands of the TNF-R family. As a consequence, the extrinsic apoptotic signaling pathway involving DRs is inhibited. The inhibition of c-FLIP activity in tumor cells might enhance DR-mediated apoptosis and overcome immune and anticancer drug resistance. Based on an in silico approach, the aim of this work was to identify new small inhibitory molecules able to bind selectively to c-FLIP and block its anti-apoptotic activity. Using a homology 3D model of c-FLIP, an in silico screening of 1880 compounds from the NCI database (National Cancer Institute) was performed. Nine molecules were selected for in vitro assays, based on their binding affinity to c-FLIP and their high selectivity compared to caspase-8. These molecules selectively bind to the Death Effector Domain 2 (DED2) of c-FLIP. We have tested in vitro the inhibitory effect of these nine molecules using the human lung cancer cell line H1703, overexpressing c-FLIP. Our results showed that six of these newly identified compounds efficiently prevent FADD/c-FLIP interactions in a molecular pull-down assay, as well as in a DISC immunoprecipitation assay. The overexpression of c-FLIP in H1703 prevents TRAIL-mediated apoptosis; however, a combination of TRAIL with these selected molecules significantly restored TRAIL-induced cell death by rescuing caspase cleavage and activation. Altogether, our findings indicate that new inhibitory chemical molecules efficiently prevent c-FLIP recruitment into the DISC complex, thus restoring the caspase-8-dependent apoptotic cascade. These results pave the way to design new c-FLIP inhibitory molecules that may serve as anticancer agents in tumors overexpressing c-FLIP.

Published
2024
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36. Interatomic machine learning potentials for aluminium: application to solidification phenomena

Author

Jakse, Noel, Sandberg, Johannes, Granz, Leon F., Saliou, Anthony, Jarry, Philippe, Devijver, Emilie, Voigtmann, Thomas, Horbach, Jürgen, and Meyer, Andreas

Subjects
Condensed Matter - Materials Science, Condensed Matter - Disordered Systems and Neural Networks, Physics - Computational Physics
Abstract

In studying solidification process by simulations on the atomic scale, the modeling of crystal nucleation or amorphisation requires the construction of interatomic interactions that are able to reproduce the properties of both the solid and the liquid states. Taking into account rare nucleation events or structural relaxation under deep undercooling conditions requires much larger length scales and longer time scales than those achievable by \textit{ab initio} molecular dynamics (AIMD). This problem is addressed by means of classical MD simulations using a well established high dimensional neural network potential trained on a relevant set of configurations generated by AIMD. Our dataset contains various crystalline structures and liquid states at different pressures, including their time fluctuations in a wide range of temperatures considering only their energy labels. Applied to elemental aluminium, the resulting potential is shown to be efficient to reproduce the basic structural, dynamics and thermodynamic quantities in the liquid and undercooled states without the need to include neither explicitly the forces nor all kind of configurations in the training procedure. The early stage of crystallization is further investigated on a much larger scale with one million atoms, allowing us to unravel features of the homogeneous nucleation mechanisms in the fcc phase at ambient pressure as well as in the bcc phase at high pressure with unprecedented accuracy close to the \textit{ab initio} one. In both case, a single step nucleation process is observed., Comment: 40 pages and 10 figures + supplement file

Published
2022

38. Nicely structured positive bases with maximal cosine measure

Author

Hare, Warren, Jarry-Bolduc, Gabriel, and Planiden, Chayne

Subjects
Mathematics - Optimization and Control
Abstract

The properties of positive bases make them a useful tool in derivative-free optimization (DFO) and an interesting concept in mathematics. The notion of the \emph{cosine measure} helps to quantify the quality of a positive basis. It provides information on how well the vectors in the positive basis uniformly cover the space considered. The number of vectors in a positive basis is known to be between $n+1$ and $2n$ inclusively. When the number of vectors is strictly between $n+1$ and $2n$, we say that it is an intermediate positive basis. In this paper, the structure of intermediate positive bases with maximal cosine measure is investigated. The structure of an intermediate positive basis with maximal cosine measure over a certain subset of positive bases is provided. This type of positive bases has a simple structure that makes them easy to generate with a computer software.

Published
2021

39. Error Analysis of Surrogate Models Constructed through Operations on Sub-models

Author

Chen, Yiwen, Jarry-Bolduc, Gabriel, and Hare, Warren

Subjects
Mathematics - Optimization and Control, Mathematics - Numerical Analysis
Abstract

Model-based methods are popular in derivative-free optimization (DFO). In most of them, a single model function is built to approximate the objective function. This is generally based on the assumption that the objective function is one blackbox. However, some real-life and theoretical problems show that the objective function may consist of several blackboxes. In those problems, the information provided by each blackbox may not be equal. In this situation, one could build multiple sub-models that are then combined to become a final model. In this paper, we analyze the relation between the accuracy of those sub-models and the model constructed through their operations. We develop a broad framework that can be used as a theoretical tool in model error analysis and future research in DFO algorithms design.

Published
2021
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40. Sustaining at Scale: District Mathematics Specialists' Adaptations to a Teacher Leadership Preparation Program

Author

Jarry-Shore, Michael, Delaney, Victoria, and Borko, Hilda

Abstract

A common approach to scaling up a professional development program is for the researchers who designed the program to prepare teacher leaders to facilitate it at their schools. When researchers eventually leave, however, teacher leaders may receive less support. To ensure that teacher leaders continue receiving support, researchers can prepare district mathematics specialists to assume responsibility for preparing the teacher leaders. Little is known, however, about district mathematics specialists' role in sustaining, and potentially adapting, professional development programs. We examined district mathematics specialists' facilitation of an adaptive teacher leadership preparation program. Program sessions were originally facilitated by researchers then by the specialists. We analyzed the adaptations specialists made to the sessions over four years and the rationales underlying these adaptations. Specialists maintained the program's overall structure, continuing to model the facilitation of core program activities that teacher leaders would then facilitate in their site-based professional development workshops. However, they modified the thematic focus of these activities to address district goals, interests, and priorities. Adaptations were informed by specialists' intimate knowledge of what was occurring in district schools. This approach maintained activities supportive of teacher learning, but also demonstrated that the specialists took increasing ownership over the program by adapting it.

Published
2023
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41. Using a Practical Measure to Support Inquiry into Professional Development Facilitation

Author

Nieman, Hannah, Jackson, Kara, Jarry-Shore, Michael, Borko, Hilda, Kazemi, Elham, Chinen, Starlie, Lenges, Anita, Yilmaz, Zuhal, and Haines, Cara

Abstract

Despite the complexity of facilitating professional development (PD) and growing attention to supporting facilitators, few tools exist for facilitators to engage in ongoing inquiry into their practice. In this article, we offer a practical measure, the Collaborative Professional Development Survey (CPDS), designed to provide facilitators with information about teachers' perceptions of aspects of the PD learning environment that research indicates matter for teachers' opportunities to learn. We illustrate how facilitators used the CPDS to support their collective inquiry into facilitation. We also illustrate the social processes that appeared to enable facilitators' productive use of the CPDS, including a routine to analyze the resulting data, and the orientations that underpinned their analysis. We discuss implications for facilitators' use of the CPDS.

Published
2023
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46. Challenges Arising from Self-Administered Misoprostol for Unintended Pregnancies Amidst Covid-19 Lockdown

Author

Zubaida Masood, Rahila Imtiaz, Fauzia Ali, Samia Husain, Mataa-e-masood, and Jarry masood

Subjects
Abortion, Misoprostol, Over-the-Counter Drug, Self-medication., Biochemistry, QD415-436, Dentistry, RK1-715, Therapeutics. Pharmacology, RM1-950, Medicine (General), R5-920
Abstract

Background: The COVID-19 pandemic placed unprecedented strain on healthcare globally, which exacerbated factors leading to unplanned pregnancies. This study aimed to assess the complications of self-administration of misoprostol for miscarriage during the COVID-19 lockdown. Methods: This was a retrospective cohort study conducted at the Department of Obstetrics and Gynecology, Abbasi Shaheed Hospital, Karachi, from 1st March to 30th September 2020. Case records were compiled and analyzed. All women who reported after self-administration of misoprostol were included. The primary outcome measure was complications; anemia, blood transfusion, heavy bleeding, shock, sepsis, ruptured ectopic pregnancy, and ruptured uterus. A bivariable analysis was done to see the effect of gestational age at intake of misoprostol on the complications encountered, the chi-square test or Fischer’s exact test was also applied. Results: In this study, a total of 54 cases were studied. The most common complication was anemia (63%) followed by incomplete abortion (61.1%). Heavy bleeding (p˂0.001), blood transfusion (p=0.020), and incomplete abortion were significantly (p˂0.001) more common in women who used misoprostol at gestational ages greater than 6 weeks. Conclusion: Our results suggested that health complications were found in women who self-medicated misoprostol for induced abortions after gestational ages greater than 6 weeks during the COVID-19 lockdown.

Published
2024
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47. Study of azimuthal anisotropy of ϒ(1S) mesons in pPb collisions at sNN = 8.16 TeV

Author

A. Tumasyan, W. Adam, J.W. Andrejkovic, T. Bergauer, S. Chatterjee, K. Damanakis, M. Dragicevic, A. Escalante Del Valle, P.S. Hussain, M. Jeitler, N. Krammer, L. Lechner, D. Liko, I. Mikulec, P. Paulitsch, F.M. Pitters, J. Schieck, R. Schöfbeck, D. Schwarz, M. Sonawane, S. Templ, W. Waltenberger, C.-E. Wulz, M.R. Darwish, T. Janssen, T. Kello, H. Rejeb Sfar, P. Van Mechelen, E.S. Bols, J. D'Hondt, A. De Moor, M. Delcourt, H. El Faham, S. Lowette, S. Moortgat, A. Morton, D. Müller, A.R. Sahasransu, S. Tavernier, W. Van Doninck, D. Vannerom, B. Clerbaux, G. De Lentdecker, L. Favart, D. Hohov, J. Jaramillo, K. Lee, M. Mahdavikhorrami, I. Makarenko, A. Malara, S. Paredes, L. Pétré, N. Postiau, L. Thomas, M. Vanden Bemden, C. Vander Velde, P. Vanlaer, D. Dobur, J. Knolle, L. Lambrecht, G. Mestdach, M. Niedziela, C. Rendón, C. Roskas, A. Samalan, K. Skovpen, M. Tytgat, N. Van Den Bossche, B. Vermassen, L. Wezenbeek, A. Benecke, G. Bruno, F. Bury, C. Caputo, P. David, C. Delaere, I.S. Donertas, A. Giammanco, K. Jaffel, Sa. Jain, V. Lemaitre, K. Mondal, A. Taliercio, T.T. Tran, P. Vischia, S. Wertz, G.A. Alves, E. Coelho, C. Hensel, A. Moraes, P. Rebello Teles, W.L. Aldá Júnior, M. Alves Gallo Pereira, M. Barroso Ferreira Filho, H. Brandao Malbouisson, W. Carvalho, J. Chinellato, E.M. Da Costa, G.G. Da Silveira, D. De Jesus Damiao, V. Dos Santos Sousa, S. Fonseca De Souza, J. Martins, C. Mora Herrera, K. Mota Amarilo, L. Mundim, H. Nogima, A. Santoro, S.M. Silva Do Amaral, A. Sznajder, M. Thiel, F. Torres Da Silva De Araujo, A. Vilela Pereira, C.A. Bernardes, L. Calligaris, T.R. Fernandez Perez Tomei, E.M. Gregores, P.G. Mercadante, S.F. Novaes, Sandra S. Padula, A. Aleksandrov, G. Antchev, R. Hadjiiska, P. Iaydjiev, M. Misheva, M. Rodozov, M. Shopova, G. Sultanov, A. Dimitrov, T. Ivanov, L. Litov, B. Pavlov, P. Petkov, A. Petrov, E. Shumka, S. Thakur, T. Cheng, T. Javaid, M. Mittal, L. Yuan, M. Ahmad, G. Bauer, Z. Hu, S. Lezki, K. Yi, G.M. Chen, H.S. Chen, M. Chen, F. Iemmi, C.H. Jiang, A. Kapoor, H. Liao, Z.-A. Liu, V. Milosevic, F. Monti, R. Sharma, J. Tao, J. Thomas-Wilsker, J. Wang, H. Zhang, J. Zhao, A. Agapitos, Y. An, Y. Ban, A. Levin, C. Li, Q. Li, X. Lyu, Y. Mao, S.J. Qian, X. Sun, D. Wang, J. Xiao, H. Yang, M. Lu, Z. You, N. Lu, X. Gao, D. Leggat, H. Okawa, Y. Zhang, Z. Lin, C. Lu, M. Xiao, C. Avila, D.A. Barbosa Trujillo, A. Cabrera, C. Florez, J. Fraga, J. Mejia Guisao, F. Ramirez, M. Rodriguez, J.D. Ruiz Alvarez, D. Giljanovic, N. Godinovic, D. Lelas, I. Puljak, Z. Antunovic, M. Kovac, T. Sculac, V. Brigljevic, B.K. Chitroda, D. Ferencek, S. Mishra, M. Roguljic, A. Starodumov, T. Susa, A. Attikis, K. Christoforou, M. Kolosova, S. Konstantinou, J. Mousa, C. Nicolaou, F. Ptochos, P.A. Razis, H. Rykaczewski, H. Saka, A. Stepennov, M. Finger, M. Finger, Jr., A. Kveton, E. Ayala, E. Carrera Jarrin, S. Elgammal, A. Ellithi Kamel, M. Abdullah Al-Mashad, M.A. Mahmoud, S. Bhowmik, R.K. Dewanjee, K. Ehataht, M. Kadastik, T. Lange, S. Nandan, C. Nielsen, J. Pata, M. Raidal, L. Tani, C. Veelken, P. Eerola, H. Kirschenmann, K. Osterberg, M. Voutilainen, S. Bharthuar, E. Brücken, F. Garcia, J. Havukainen, M.S. Kim, R. Kinnunen, T. Lampén, K. Lassila-Perini, S. Lehti, T. Lindén, M. Lotti, L. Martikainen, M. Myllymäki, J. Ott, M.m. Rantanen, H. Siikonen, E. Tuominen, J. Tuominiemi, P. Luukka, H. Petrow, T. Tuuva, C. Amendola, M. Besancon, F. Couderc, M. Dejardin, D. Denegri, J.L. Faure, F. Ferri, S. Ganjour, P. Gras, G. Hamel de Monchenault, P. Jarry, V. Lohezic, J. Malcles, J. Rander, A. Rosowsky, M.Ö. Sahin, A. Savoy-Navarro, P. Simkina, M. Titov, C. Baldenegro Barrera, F. Beaudette, A. Buchot Perraguin, P. Busson, A. Cappati, C. Charlot, F. Damas, O. Davignon, B. Diab, G. Falmagne, B.A. Fontana Santos Alves, S. Ghosh, R. Granier de Cassagnac, A. Hakimi, B. Harikrishnan, G. Liu, J. Motta, M. Nguyen, C. Ochando, L. Portales, R. Salerno, U. Sarkar, J.B. Sauvan, Y. Sirois, A. Tarabini, E. Vernazza, A. Zabi, A. 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Parygin, V. Perelygin, V. Petrov, S. Petrushanko, S. Polikarpov, V. Popov, E. Popova, O. Radchenko, R. Ryutin, M. Savina, V. Savrin, D. Selivanova, V. Shalaev, S. Shmatov, S. Shulha, Y. Skovpen, S. Slabospitskii, V. Smirnov, A. Snigirev, A. Sobol, D. Sosnov, V. Sulimov, E. Tcherniaev, A. Terkulov, O. Teryaev, I. Tlisova, M. Toms, A. Toropin, S. Troshin, L. Uvarov, A. Uzunian, I. Vardanyan, E. Vlasov, A. Volkov, A. Vorobyev, N. Voytishin, B.S. Yuldashev, A. Zarubin, I. Zhizhin, and A. Zhokin

Subjects
CMS, pPb, Heavy ion, v2, Upsilon, Flow, Physics, QC1-999
Abstract

The azimuthal anisotropy of Image 1 mesons in high-multiplicity proton-lead collisions is studied using data collected by the CMS experiment at a nucleon-nucleon center-of-mass energy of 8.16TeV. The Image 1 mesons are reconstructed using their dimuon decay channel. The anisotropy is characterized by the second Fourier harmonic coefficients, found using a two-particle correlation technique, in which the Image 1 mesons are correlated with charged hadrons. A large pseudorapidity gap is used to suppress short-range correlations. Nonflow contamination from the dijet background is removed using a low-multiplicity subtraction method, and the results are presented as a function of Image 1 transverse momentum. The azimuthal anisotropies are smaller than those found for charmonia in proton-lead collisions at the same collision energy, but are consistent with values found for Image 1 mesons in lead-lead interactions at a nucleon-nucleon center-of-mass energy of 5.02 TeV.

Published
2024
Full Text
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48. Search for Z′ bosons decaying to pairs of heavy Majorana neutrinos in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV

Author

The CMS collaboration, A. Tumasyan, W. Adam, J. W. Andrejkovic, T. Bergauer, S. Chatterjee, K. Damanakis, M. Dragicevic, A. Escalante Del Valle, P. S. Hussain, M. Jeitler, N. Krammer, L. Lechner, D. Liko, I. Mikulec, P. Paulitsch, F. M. Pitters, J. Schieck, R. Schöfbeck, D. Schwarz, S. Templ, W. Waltenberger, C.-E. Wulz, M. R. Darwish, T. Janssen, T. Kello, H. Rejeb Sfar, P. Van Mechelen, E. S. Bols, J. D’Hondt, A. De Moor, M. Delcourt, H. El Faham, S. Lowette, S. Moortgat, A. Morton, D. Müller, A. R. Sahasransu, S. Tavernier, W. Van Doninck, D. Vannerom, B. Clerbaux, G. De Lentdecker, L. Favart, D. Hohov, J. Jaramillo, K. Lee, M. Mahdavikhorrami, I. Makarenko, A. Malara, S. Paredes, L. Pétré, N. Postiau, E. Starling, L. Thomas, M. Vanden Bemden, C. Vander Velde, P. Vanlaer, D. Dobur, J. Knolle, L. Lambrecht, G. Mestdach, M. Niedziela, C. Rendón, C. Roskas, A. Samalan, K. Skovpen, M. Tytgat, N. Van Den Bossche, B. Vermassen, L. Wezenbeek, A. Benecke, G. Bruno, F. Bury, C. Caputo, P. David, C. Delaere, I. S. Donertas, A. Giammanco, K. Jaffel, Sa. Jain, V. Lemaitre, K. Mondal, J. Prisciandaro, A. Taliercio, T. T. Tran, P. Vischia, S. Wertz, G. A. Alves, E. Coelho, C. Hensel, A. Moraes, P. Rebello Teles, W. L. Aldá Júnior, M. Alves Gallo Pereira, M. Barroso Ferreira Filho, H. Brandao Malbouisson, W. Carvalho, J. Chinellato, E. M. Da Costa, G. G. Da Silveira, D. De Jesus Damiao, V. Dos Santos Sousa, S. Fonseca De Souza, J. Martins, C. Mora Herrera, K. Mota Amarilo, L. Mundim, H. Nogima, A. Santoro, S. M. Silva Do Amaral, A. Sznajder, M. Thiel, F. Torres Da Silva De Araujo, A. Vilela Pereira, C. A. Bernardes, L. Calligaris, T. R. Fernandez Perez Tomei, E. M. Gregores, P. G. Mercadante, S. F. Novaes, Sandra S. Padula, A. Aleksandrov, G. Antchev, R. Hadjiiska, P. Iaydjiev, M. Misheva, M. Rodozov, M. Shopova, G. Sultanov, A. Dimitrov, T. Ivanov, L. Litov, B. Pavlov, P. Petkov, A. Petrov, E. Shumka, S. Thakur, T. Cheng, T. Javaid, M. Mittal, L. Yuan, M. Ahmad, G. 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Kirsanov, V. Klyukhin, O. Kodolova, D. Konstantinov, V. Korenkov, A. Kozyrev, N. Krasnikov, E. Kuznetsova, A. Lanev, P. Levchenko, A. Litomin, N. Lychkovskaya, V. Makarenko, A. Malakhov, V. Matveev, V. Murzin, A. Nikitenko, S. Obraztsov, V. Okhotnikov, I. Ovtin, V. Palichik, P. Parygin, V. Perelygin, M. Perfilov, G. Pivovarov, V. Popov, E. Popova, O. Radchenko, V. Rusinov, M. Savina, V. Savrin, D. Selivanova, V. Shalaev, S. Shmatov, S. Shulha, Y. Skovpen, S. Slabospitskii, V. Smirnov, D. Sosnov, A. Stepennov, V. Sulimov, E. Tcherniaev, A. Terkulov, O. Teryaev, I. Tlisova, M. Toms, A. Toropin, L. Uvarov, A. Uzunian, E. Vlasov, A. Vorobyev, N. Voytishin, B. S. Yuldashev, A. Zarubin, I. Zhizhin, and A. Zhokin

Subjects
Beyond Standard Model, Hadron-Hadron Scattering, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract A search for the production of pairs of heavy Majorana neutrinos (N ℓ ) from the decays of Z′ bosons is performed using the CMS detector at the LHC. The data were collected in proton-proton collisions at a center-of-mass energy of s $$ \sqrt{s} $$ = 13 TeV, with an integrated luminosity of 138 fb −1. The signature for the search is an excess in the invariant mass distribution of the final-state objects, two same-flavor leptons (e or μ) and at least two jets. No significant excess of events beyond the expected background is observed. Upper limits at 95% confidence level are set on the product of the Z′ production cross section and its branching fraction to a pair of N ℓ , as functions of N ℓ and Z′ boson masses ( m N ℓ $$ {m}_{{\textrm{N}}_{\ell }} $$ and m Z ′ $$ {m}_{{\textrm{Z}}^{\prime }} $$ , respectively) for m Z ′ $$ {m}_{{\textrm{Z}}^{\prime }} $$ from 0.4 to 4.6 TeV and m N ℓ $$ {m}_{{\textrm{N}}_{\ell }} $$ from 0.1 TeV to m Z ′ $$ {m}_{{\textrm{Z}}^{\prime }} $$ /2. In the theoretical framework of a left-right symmetric model, exclusion bounds in the m N ℓ $$ {m}_{{\textrm{N}}_{\ell }} $$ - m Z ′ $$ {m}_{{\textrm{Z}}^{\prime }} $$ plane are presented in both the electron and muon channels. The observed upper limit on m Z ′ $$ {m}_{{\textrm{Z}}^{\prime }} $$ reaches up to 4.42 TeV. These are the most restrictive limits to date on the mass of N ℓ as a function of the Z′ boson mass.

Published
2023
Full Text
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49. Measurements of the azimuthal anisotropy of prompt and nonprompt charmonia in PbPb collisions at s NN $$ \sqrt{s_{\textrm{NN}}} $$ = 5.02 TeV

Author

The CMS collaboration, A. Tumasyan, W. Adam, J. W. Andrejkovic, T. Bergauer, S. Chatterjee, K. Damanakis, M. Dragicevic, A. Escalante Del Valle, P. S. Hussain, M. Jeitler, N. Krammer, L. Lechner, D. Liko, I. Mikulec, P. Paulitsch, F. M. Pitters, J. Schieck, R. Schöfbeck, D. Schwarz, M. Sonawane, S. Templ, W. Waltenberger, C.-E. Wulz, M. R. Darwish, T. Janssen, T. Kello, H. Rejeb Sfar, P. Van Mechelen, E. S. Bols, J. D’Hondt, A. De Moor, M. Delcourt, H. El Faham, S. Lowette, S. Moortgat, A. Morton, D. Müller, A. R. Sahasransu, S. Tavernier, W. Van Doninck, D. Vannerom, B. Clerbaux, G. De Lentdecker, L. Favart, D. Hohov, J. Jaramillo, K. Lee, M. Mahdavikhorrami, I. Makarenko, A. Malara, S. Paredes, L. Pétré, N. Postiau, L. Thomas, M. Vanden Bemden, C. Vander Velde, P. Vanlaer, D. Dobur, J. Knolle, L. Lambrecht, G. Mestdach, M. Niedziela, C. Rendón, C. Roskas, A. Samalan, K. Skovpen, M. Tytgat, N. Van Den Bossche, B. Vermassen, L. Wezenbeek, A. Benecke, G. Bruno, F. Bury, C. Caputo, P. 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Konstantinov, V. Korenkov, V. Korotkikh, A. Kozyrev, N. Krasnikov, A. Lanev, P. Levchenko, A. Litomin, N. Lychkovskaya, V. Makarenko, A. Malakhov, V. Matveev, V. Murzin, A. Nikitenko, S. Obraztsov, A. Oskin, I. Ovtin, V. Palichik, P. Parygin, V. Perelygin, S. Petrushanko, S. Polikarpov, V. Popov, E. Popova, O. Radchenko, M. Savina, V. Savrin, D. Selivanova, V. Shalaev, S. Shmatov, S. Shulha, Y. Skovpen, S. Slabospitskii, V. Smirnov, A. Snigirev, D. Sosnov, V. Sulimov, E. Tcherniaev, A. Terkulov, O. Teryaev, I. Tlisova, M. Toms, A. Toropin, L. Uvarov, A. Uzunian, I. Vardanyan, E. Vlasov, A. Vorobyev, N. Voytishin, B. S. Yuldashev, A. Zarubin, I. Zhizhin, and A. Zhokin

Subjects
Charm Physics, Collective Flow, Heavy Ion Experiments, Quarkonium, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The second-order (v 2) and third-order (v 3) Fourier coefficients describing the azimuthal anisotropy of prompt and nonprompt (from b-hadron decays) J/ψ, as well as prompt ψ(2S) mesons are measured in lead-lead collisions at a center-of-mass energy per nucleon pair of s NN $$ \sqrt{s_{\textrm{NN}}} $$ = 5.02 TeV. The analysis uses a data set corresponding to an integrated luminosity of 1.61 nb −1 recorded with the CMS detector. The J/ψ and ψ(2S) mesons are reconstructed using their dimuon decay channel. The v 2 and v 3 coefficients are extracted using the scalar product method and studied as functions of meson transverse momentum and collision centrality. The measured v 2 values for prompt J/ψ mesons are found to be larger than those for nonprompt J/ψ mesons. The prompt J/ψ v 2 values at high p T are found to be underpredicted by a model incorporating only parton energy loss effects in a quark-gluon plasma medium. Prompt and nonprompt J/ψ meson v 3 and prompt ψ(2S) v 2 and v 3 values are also reported for the first time, providing new information about heavy quark interactions in the hot and dense medium created in heavy ion collisions.

Published
2023
Full Text
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50. Search for supersymmetry in final states with a single electron or muon using angular correlations and heavy-object identification in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV

Author

The CMS collaboration, A. Tumasyan, W. Adam, J. W. Andrejkovic, T. Bergauer, S. Chatterjee, K. Damanakis, M. Dragicevic, A. Escalante Del Valle, P. S. Hussain, M. Jeitler, N. Krammer, L. Lechner, D. Liko, I. Mikulec, P. Paulitsch, F. M. Pitters, J. Schieck, R. Schöfbeck, D. Schwarz, S. Templ, W. Waltenberger, C.-E. Wulz, M. R. Darwish, T. Janssen, T. Kello, H. Rejeb Sfar, P. Van Mechelen, E. S. Bols, J. D’Hondt, A. De Moor, M. Delcourt, H. El Faham, S. Lowette, S. Moortgat, A. Morton, D. Müller, A. R. Sahasransu, S. Tavernier, W. Van Doninck, D. Vannerom, B. Clerbaux, G. De Lentdecker, L. Favart, D. Hohov, J. Jaramillo, K. Lee, M. Mahdavikhorrami, I. Makarenko, A. Malara, S. Paredes, L. Pétré, N. Postiau, E. Starling, L. Thomas, M. Vanden Bemden, C. Vander Velde, P. Vanlaer, D. Dobur, J. Knolle, L. Lambrecht, G. Mestdach, M. Niedziela, C. Rendón, C. Roskas, A. Samalan, K. Skovpen, M. Tytgat, N. Van Den Bossche, B. Vermassen, L. Wezenbeek, A. Benecke, G. Bruno, F. Bury, C. Caputo, P. David, C. Delaere, I. S. Donertas, A. Giammanco, K. Jaffel, Sa. Jain, V. Lemaitre, K. Mondal, J. Prisciandaro, A. Taliercio, T. T. Tran, P. Vischia, S. Wertz, G. A. Alves, E. Coelho, C. Hensel, A. Moraes, P. Rebello Teles, W. L. Aldá Júnior, M. Alves Gallo Pereira, M. Barroso Ferreira Filho, H. Brandao Malbouisson, W. Carvalho, J. Chinellato, E. M. Da Costa, G. G. Da Silveira, D. De Jesus Damiao, V. Dos Santos Sousa, S. Fonseca De Souza, J. Martins, C. Mora Herrera, K. Mota Amarilo, L. Mundim, H. Nogima, A. Santoro, S. M. Silva Do Amaral, A. Sznajder, M. Thiel, F. Torres Da Silva De Araujo, A. Vilela Pereira, C. A. Bernardes, L. Calligaris, T. R. Fernandez Perez Tomei, E. M. Gregores, P. G. Mercadante, S. F. Novaes, Sandra S. Padula, A. Aleksandrov, G. Antchev, R. Hadjiiska, P. Iaydjiev, M. Misheva, M. Rodozov, M. Shopova, G. Sultanov, A. Dimitrov, T. Ivanov, L. Litov, B. Pavlov, P. Petkov, A. Petrov, E. Shumka, S. Thakur, T. Cheng, T. Javaid, M. Mittal, L. Yuan, M. Ahmad, G. 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Dewanjee, K. Ehataht, M. Kadastik, T. Lange, S. Nandan, C. Nielsen, J. Pata, M. Raidal, L. Tani, C. Veelken, P. Eerola, H. Kirschenmann, K. Osterberg, M. Voutilainen, S. Bharthuar, E. Brücken, F. Garcia, J. Havukainen, K. T. S. Kallonen, M. S. Kim, R. Kinnunen, T. Lampén, K. Lassila-Perini, S. Lehti, T. Lindén, M. Lotti, L. Martikainen, M. Myllymäki, J. Ott, M. m. Rantanen, H. Siikonen, E. Tuominen, J. Tuominiemi, P. Luukka, H. Petrow, T. Tuuva, C. Amendola, M. Besancon, F. Couderc, M. Dejardin, D. Denegri, J. L. Faure, F. Ferri, S. Ganjour, P. Gras, G. Hamel de Monchenault, P. Jarry, V. Lohezic, J. Malcles, J. Rander, A. Rosowsky, M. Ö. Sahin, A. Savoy-Navarro, P. Simkina, M. Titov, C. Baldenegro Barrera, F. Beaudette, A. Buchot Perraguin, P. Busson, A. Cappati, C. Charlot, F. Damas, O. Davignon, B. Diab, G. Falmagne, B. A. Fontana Santos Alves, S. Ghosh, R. Granier de Cassagnac, A. Hakimi, B. Harikrishnan, G. Liu, J. Motta, M. Nguyen, C. Ochando, L. Portales, R. Salerno, U. 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Gribushin, V. Ivanchenko, Y. Ivanov, V. Kachanov, L. Kardapoltsev, V. Karjavine, A. Karneyeu, V. Kim, M. Kirakosyan, D. Kirpichnikov, M. Kirsanov, V. Klyukhin, O. Kodolova, D. Konstantinov, V. Korenkov, A. Kozyrev, N. Krasnikov, E. Kuznetsova, A. Lanev, P. Levchenko, A. Litomin, N. Lychkovskaya, V. Makarenko, A. Malakhov, V. Matveev, V. Murzin, A. Nikitenko, S. Obraztsov, V. Okhotnikov, A. Oskin, I. Ovtin, V. Palichik, P. Parygin, V. Perelygin, G. Pivovarov, V. Popov, E. Popova, O. Radchenko, V. Rusinov, M. Savina, V. Savrin, V. Shalaev, S. Shmatov, S. Shulha, Y. Skovpen, S. Slabospitskii, V. Smirnov, A. Snigirev, D. Sosnov, A. Stepennov, V. Sulimov, E. Tcherniaev, A. Terkulov, O. Teryaev, I. Tlisova, M. Toms, A. Toropin, L. Uvarov, A. Uzunian, E. Vlasov, A. Vorobyev, N. Voytishin, B. S. Yuldashev, A. Zarubin, I. Zhizhin, and A. Zhokin

Subjects
Hadron-Hadron Scattering, Supersymmetry, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract A search for supersymmetry is presented in events with a single charged lepton, electron or muon, and multiple hadronic jets. The data correspond to an integrated luminosity of 138 fb −1 of proton-proton collisions at a center-of-mass energy of 13 TeV, recorded by the CMS experiment at the CERN LHC. The search targets gluino pair production, where the gluinos decay into final states with the lightest supersymmetric particle (LSP) and either a top quark-antiquark ( t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ ) pair, or a light-flavor quark-antiquark ( q q ¯ $$ \textrm{q}\overline{\textrm{q}} $$ ) pair and a virtual or on-shell W boson. The main backgrounds, t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ pair and W+jets production, are suppressed by requirements on the azimuthal angle between the momenta of the lepton and of its reconstructed parent W boson candidate, and by top quark and W boson identification based on a machine-learning technique. The number of observed events is consistent with the expectations from standard model processes. Limits are evaluated on supersymmetric particle masses in the context of two simplified models of gluino pair production. Exclusions for gluino masses reach up to 2120 (2050) GeV at 95% confidence level for a model with gluino decay to a t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ pair (a q q ¯ $$ \textrm{q}\overline{\textrm{q}} $$ pair and a W boson) and the LSP. For the same models, limits on the mass of the LSP reach up to 1250 (1070) GeV.

Published
2023
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