63,674 results on '"Basile A."'
Search Results
52. Retrotransposon-driven environmental regulation of FLC leads to adaptive response to herbicide
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Raingeval, Mathieu, Leduque, Basile, Baduel, Pierre, Edera, Alejandro, Roux, Fabrice, Colot, Vincent, and Quadrana, Leandro
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- 2024
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53. Histology-Tailored Approach to Soft Tissue Sarcoma
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Gervais, Mai-Kim, Basile, Georges, Dulude, Jean-Philippe, Mottard, Sophie, and Gronchi, Alessandro
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- 2024
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54. The influence of excessive consumption on residents’ family thriving: the roles of intergenerational poverty transmission and educational cognition
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Yang, Yang, Appolloni, Andrea, Ding, Xiangan, Basile, Vincenzo, and Ma, Han
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- 2024
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55. A parametric method to estimate environmental energy efficiency with non-radial adjustment: an application to China
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Li, Hongzhou, Appolloni, Andrea, Dou, Yijie, Basile, Vincenzo, and Kopsakangas-Savolainen, Maria
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- 2024
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56. An Integrated Perspective on the Evaluation of Complex Railway Systems
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Basile, Davide, ter Beek, Maurice H., Carnevali, Laura, Chiaradonna, Silvano, Di Giandomenico, Felicita, Fantechi, Alessandro, Gori, Gloria, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, and Margaria, Tiziana, editor
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- 2025
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57. Asymptotic, second-order homogenization of linear elastic beam networks
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Ye, Yang, Audoly, Basile, and Lestringant, Claire
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Condensed Matter - Soft Condensed Matter - Abstract
We propose a general approach to the higher-order homogenization of discrete elastic networks made up of linear elastic beams or springs in dimension 2 or 3. The network may be nearly (rather than exactly) periodic: its elastic and geometric properties are allowed to vary slowly in space, in addition to being periodic at the scale of the unit cell. The reference configuration may be prestressed. A homogenized strain energy depending on both the macroscopic strain $\boldsymbol{\varepsilon}$ and its gradient $\nabla \boldsymbol{\varepsilon}$ is obtained by means of a two-scale expansion. The homogenized energy is asymptotically exact two orders beyond that obtained by classical homogenization. The homogenization method is implemented in a symbolic calculation language and applied to various types of networks, such as a 2D honeycomb, a 2D Kagome lattice, a 3D truss and a 1D pantograph. It is validated by comparing the predictions of the microscopic displacement to that obtained by full, discrete simulations. This second-order method remains highly accurate even when the strain gradient effects are significant, such as near the lips of a crack tip or in regions where a gradient of pre-strain is imposed.
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- 2024
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58. Numerical validation of the inverse cascade of surface gravity wave action
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Higgins, CHristopher and Gallet, Basile
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Physics - Fluid Dynamics - Abstract
We report numerical simulations of surface gravity waves forced at small scale and the subsequent inverse cascade of wave action. We combine the spectral approach to simulating weakly nonlinear waves with the capabilities of modern Graphics Processing Units to reach unprecedented scale separation between the forcing and domain scales. The resulting broad inertial range allows for an unambiguous confirmation of the theoretical prediction for the spectrum in the inverse cascade regime, both in terms of spectral index and dependence of the spectral level on the action flux., Comment: 5 pages, 3 figures
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- 2024
59. Two-dimensional turbulence above topography: condensation transition and selection of minimum enstrophy solutions
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Gallet, Basile
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Physics - Fluid Dynamics - Abstract
We consider two-dimensional flows above topography, revisiting the selective decay (or minimum-enstrophy) hypothesis of Bretherton and Haidvogel. We derive a 'condensed branch' of solutions to the variational problem where a domain-scale condensate coexists with a flow at the (smaller) scale of the topography. The condensate arises through a supercritical bifurcation as the conserved energy of the initial condition exceeds a threshold value, a prediction that we quantitatively validate using Direct Numerical Simulations (DNS). We then consider the forced-dissipative case, showing how weak forcing and dissipation select a single dissipative state out of the continuum of solutions to the energy-conserving system predicted by selective decay. As the forcing strength increases, the condensate arises through a supercritical bifurcation for topographic-scale forcing and through a subcritical bifurcation for domain-scale forcing, both predictions being quantitatively validated by DNS. This method provides a way of determining the equilibrated state of forced-dissipative flows based on variational approaches to the associated energy-conserving system, such as the statistical mechanics of 2D flows or selective decay.
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- 2024
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60. Thermal Barrier Coatings in burner rig experiment analyzed through LAser Shock for DAmage Monitoring (LASDAM) method
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Mahfouz, Lara, Maurel, Vincent, Guipont, Vincent, Marchand, Basile, Hourany, Rami El, Coudon, Florent, Mack, Daniel E., and Vaßen, Robert
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Physics - Applied Physics - Abstract
This study investigates failure mechanisms in a typical thermal barrier coating (TBC) system comprising an EB-PVD columnar top coat, an aluminide bond coat, and a Ni-based single crystal superalloy substrate, simulating gas turbine operating conditions using a burner rig. TBC degradation, initiated by interfacial defects from the LASAT method, was studied during thermal gradient cycling under fast and slow cooling. In-situ optical and infrared imaging, along with ex-situ SEM cross-sectional analysis, monitored failure mechanisms. The Laser Shock for Damage Monitoring (LASDAM) technique provided insights into gradient and cooling rate impacts on columnar TBC damage. Results showed significant effects of cooling rate on delamination and localized failure at blister sites, with LASDAM revealing significant overheating at damage sites. Analysis included full-field temperature and damage assessment, emphasizing blister-driven delamination under severe thermal gradients. Discussion focused on elastic stored energy effects, noting that fast cooling induced transient conditions where reversed temperature gradients increased damage, limiting TBC lifespan, Comment: submitted to Journal of the European Ceramic Society, 24 pages and 19 figures
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- 2024
61. The steady-states of splitter networks
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Couëtoux, Basile, Gastaldi, Bastien, and Naves, Guyslain
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Computer Science - Discrete Mathematics ,05C21 ,G.2.2 ,F.2.2 - Abstract
We introduce splitter networks, which abstract the behavior of conveyor belts found in the video game Factorio. Based on this definition, we show how to compute the steady-state of a splitter network. Then, leveraging insights from the players community, we provide multiple designs of splitter networks capable of load-balancing among several conveyor belts, and prove that any load-balancing network on $n$ belts must have $\Omega(n \log n)$ nodes. Incidentally, we establish connections between splitter networks and various concepts including flow algorithms, flows with equality constraints, Markov chains and the Knuth-Yao theorem about sampling over rational distributions using a fair coin.
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- 2024
62. Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm
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Polisano, Kévin, Dubois-Bonnaire, Basile, and Meignen, Sylvain
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Computer Science - Computer Vision and Pattern Recognition ,Electrical Engineering and Systems Science - Image and Video Processing ,Electrical Engineering and Systems Science - Signal Processing - Abstract
We present a new approach leveraging the Sliding Frank--Wolfe algorithm to address the challenge of line recovery in degraded images. Building upon advances in conditional gradient methods for sparse inverse problems with differentiable measurement models, we propose two distinct models tailored for line detection tasks within the realm of blurred line deconvolution and ridge detection of linear chirps in spectrogram images.
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- 2024
63. Simulating Charged Defects at Database Scale
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Shen, Jimmy-Xuan, Voss, Lars F., and Varley, Joel Basile
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Condensed Matter - Materials Science - Abstract
Point defects have a strong influence on the physical properties of materials, often dominating the electronic and optical behavior in semiconductors and insulators. The simulation and analysis of point defects is therefore crucial for understanding the growth and operation of materials especially for optoelectronics applications. In this work, we present a general-purpose Python framework for the analysis of point defects in crystalline materials, as well as a generalized workflow for their treatment with high-throughput simulations. The distinguishing feature of our approach is an emphasis on a unique, unitcell, structure-only, definition of point defects which decouples the defect definition and the specific supercell representation used to simulate the defect. This allows the results of first-principles calculations to be aggregated into a database without extensive provenance information and is a crucial step in building a persistent database of point defects that can grow over time, a key component towards realizing the idea of a ``defect genome' that can yield more complex relationships governing the behavior of defects in materials. We demonstrate several examples of the approach for three technologically relevant materials and highlight current pitfalls that must be considered when employing these methodologies, as well as their potential solutions.
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- 2024
64. Operadic Kazhdan-Lusztig-Stanley theory
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Coron, Basile
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Mathematics - Combinatorics ,Mathematics - Algebraic Topology - Abstract
We introduce a new type of operad-like structure called a P-operad, which depends on the choice of some collection of posets P, and which is governed by chains in posets of P. We introduce several examples of such structures which are related to classical poset theoretic notions such as poset homology, Cohen--Macaulayness and lexicographic shellability. We then show that P-operads form a satisfactory framework to categorify Kazhdan--Lusztig polynomials of geometric lattices and their kernel. In particular, this leads to a new proof of the positivity of the coefficients of Kazhdan--Lusztig polynomials of geometric lattices., Comment: Simplified the proof of the main theorem and clarified some specific points
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- 2024
65. Predicting the photodynamics of cyclobutanone triggered by a laser pulse at 200 nm and its MeV-UED signals -- a trajectory surface hopping and XMS-CASPT2 perspective
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Janoš, Jiří, Nunes, Joao Pedro Figueira, Hollas, Daniel, Slavíček, Petr, and Curchod, Basile F. E.
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Physics - Chemical Physics - Abstract
This work is part of a prediction challenge that invited theoretical/computational chemists to predict the photochemistry of cyclobutanone in the gas phase, excited at 200 nm by a laser pulse, and the expected signal that will be recorded during a time-resolved megaelectronvolt ultrafast electron diffraction (MeV-UED). We present here our theoretical predictions based on a combination of trajectory surface hopping with XMS-CASPT2 (for the nonadiabatic molecular dynamics) and Born-Oppenheimer molecular dynamics (BOMD) with MP2 (for the athermal ground-state dynamics following internal conversion), coined (NA+BO)MD. The initial conditions were sampled from BOMD coupled to a quantum thermostat. Our simulations indicate that the main photoproducts after 2 ps of dynamics are CO + cyclopropane (50%), CO + propene (10%), and ethene and ketene (34%). The photoexcited cyclobutanone in its second excited electronic state S$_2$ can follow two pathways for its nonradiative decay: (i) a ring-opening in S$_2$ and a subsequent rapid decay to the ground electronic state, where the photoproducts are formed, or (ii) a transfer through a closed-ring conical intersection to S$_1$, where cyclobutanone ring opens and then funnels to the ground state. Lifetimes for the photoproduct and electronic populations were determined. We calculated a stationary MeV-UED signal [difference pair distribution function - $\Delta$PDF$(r)$] for each (interpolated) pathway as well as a time-resolved signal [$\Delta$PDF$(r,t)$ and $\Delta I/I(s,t)$] for the full swarm of (NA+BO)MD trajectories. Furthermore, our analysis provides time-independent basis functions that can be used to fit the time-dependent experimental UED signals and potentially recover the population of photoproducts. We also offer a detailed analysis of the limitations of our model and their potential impact on the predicted experimental signals.
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- 2024
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66. Datastringer: easy dataset monitoring for journalists
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Shearer, Matt, Simon, Basile, and Geiger, Clément
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Computer Science - Computers and Society - Abstract
We created a software enabling journalists to define a set of criteria they would like to see applied regularly to a constantly-updated dataset, sending them an alert when these criteria are met, thus signaling them that there may be a story to write. The main challenges were to keep the product scalable and powerful, while making sure that it could be used by journalists who would not possess all the technical knowledge to exploit it fully. In order to do so, we had to choose Javascript as our main language, as well as designing the code in such a way that it would allow re-usability and further improvements. This project is a proof of concept being tested in a real-life environment, and will be developed towards more and more accessibility.
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- 2024
67. The snowflake sign
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Castiglione, Davide, Tiralongo, Francesco, Farina, Renato, David, Emanuele, and Basile, Antonio
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- 2024
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68. Sustained clinical and histopathological remission in a patient with eosinophilic esophagitis and type-2 comorbidities at 18 months after discontinuation of dupilumab
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González-Uribe, Víctor, Rodríguez-Bueno, Carlos Patricio Acosta, Mojica-González, Zaira Selene, Malagón-Liceaga, Andrea, and Basile-Alvarez, Martín Roberto
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- 2024
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69. The character of non-manipulable collective choices between two alternatives
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Basile, Achille, Rao, K. P. S. Bhaskara, and Rao, Surekha
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- 2024
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70. Cognitive impairment in patients on dialysis: can we prevent it?
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Kanbay, Mehmet, Mizrak, Berk, Copur, Sidar, and Basile, Carlo
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- 2024
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71. Robotic kidney transplantation
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Basile, Giuseppe, Pecoraro, Alessio, Gallioli, Andrea, Territo, Angelo, Berquin, Camille, Robalino, Jorge, Bravo, Alejandra, Huguet, Jorge, Rodriguez-Faba, Óscar, Gavrilov, Pavel, Facundo, Carmen, Guirado, Lluis, Gaya, Josep Maria, Palou, Joan, and Breda, Alberto
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- 2024
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72. Measuring Circularity in Life Cycle Management: A Literature Review
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Basile, Vincenzo, Petacca, Nunzia, and Vona, Roberto
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- 2024
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73. Perspectivist approaches to natural language processing: a survey
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Frenda, Simona, Abercrombie, Gavin, Basile, Valerio, Pedrani, Alessandro, Panizzon, Raffaella, Cignarella, Alessandra Teresa, Marco, Cristina, and Bernardi, Davide
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- 2024
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74. Role of IL33 in chronic inflammation and microvascular damage as a reflection of organ damage on a cohort of patients with acromegaly
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Costa, D., Pellicano, C., Mercuri, V., D’Ascanio, E., Buglione, G., Cicolani, G., Basile, U., Leodori, G., Gargiulo, P., and Rosato, E.
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- 2024
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75. Top–down disaggregation of life expectancy up to municipal areas, using linear self-regressive spatial models
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Basile, Vincenzo, Cervellera, Stefano, Cusatelli, Carlo, and Giacalone, Massimiliano
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- 2024
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76. Rapidly rotating radiatively driven convection: experimental and numerical validation of the `geostrophic turbulence' scaling predictions
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Hadjerci, Gabriel, Bouillaut, Vincent, Miquel, Benjamin, and Gallet, Basile
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Physics - Fluid Dynamics - Abstract
We experimentally and numerically characterize rapidly rotating radiatively driven thermal convection, beyond the sole heat transport measurements reported in Bouillaut et al. (2021). Based on a suite of direct numerical simulations (DNS) and additional processing of the experimental data collected by Bouillaut et al. (2021), we report the simultaneous validation of the scaling predictions of the `geostrophic turbulence' regime -- the diffusivity-free or `ultimate' regime of rapidly rotating convection -- for the heat transport, the temperature fluctuations, the flow speed and the flow structure. Radiatively driven convection thus appears as a versatile setup for the laboratory observation of the diffusivity-free regimes of various convective flows of geophysical and/or astrophysical interest.
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- 2024
77. Reinforcement Learning-based Relay Selection for Cooperative WSNs in the Presence of Bursty Impulsive Noise
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Barka, Hazem, Alam, Md Sahabul, Kaddoum, Georges, Au, Minh, and Agba, Basile L.
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Computer Science - Networking and Internet Architecture - Abstract
The problem of relay selection is pivotal in the realm of cooperative communication. However, this issue has not been thoroughly examined, particularly when the background noise is assumed to possess an impulsive characteristic with consistent memory as observed in smart grid communications and some other wireless communication scenarios. In this paper, we investigate the impact of this specific type of noise on the performance of cooperative Wireless Sensor Networks (WSNs) with the Decode and Forward (DF) relaying scheme, considering Symbol-Error-Rate (SER) and battery power consumption fairness across all nodes as the performance metrics. We introduce two innovative relay selection methods that depend on noise state detection and the residual battery power of each relay. The first method encompasses the adaptation of the Max-Min criterion to this specific context, whereas the second employs Reinforcement Learning (RL) to surmount this challenge. Our empirical outcomes demonstrate that the impacts of bursty impulsive noise on the SER performance can be effectively mitigated and that a balance in battery power consumption among all nodes can be established using the proposed methods., Comment: Accepted in 2024 IEEE Wireless Communications and Networking Conference
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- 2024
78. Simple Domain Adaptation for Sparse Retrievers
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Vast, Mathias, Zong, Yuxuan, Van Cooten, Basile, Piwowarski, Benjamin, and Soulier, Laure
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Computer Science - Information Retrieval - Abstract
In Information Retrieval, and more generally in Natural Language Processing, adapting models to specific domains is conducted through fine-tuning. Despite the successes achieved by this method and its versatility, the need for human-curated and labeled data makes it impractical to transfer to new tasks, domains, and/or languages when training data doesn't exist. Using the model without training (zero-shot) is another option that however suffers an effectiveness cost, especially in the case of first-stage retrievers. Numerous research directions have emerged to tackle these issues, most of them in the context of adapting to a task or a language. However, the literature is scarcer for domain (or topic) adaptation. In this paper, we address this issue of cross-topic discrepancy for a sparse first-stage retriever by transposing a method initially designed for language adaptation. By leveraging pre-training on the target data to learn domain-specific knowledge, this technique alleviates the need for annotated data and expands the scope of domain adaptation. Despite their relatively good generalization ability, we show that even sparse retrievers can benefit from our simple domain adaptation method., Comment: Accepted at ECIR 2024
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- 2024
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79. Minimal Black Holes and Species Thermodynamics
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Basile, Ivano, Cribiori, Niccolò, Lust, Dieter, and Montella, Carmine
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High Energy Physics - Theory ,High Energy Physics - Phenomenology - Abstract
The species scale provides a lower bound on the shortest possible length that can be probed in gravitational effective theories. It may be defined by the size of the minimal black hole in the theory and, as such, it has recently been given an interpretation along the lines of the celebrated black hole thermodynamics. In this work, we extend this interpretation to the case of charged species. We provide working definitions of minimal black holes for the case of uncharged and charged species constituents. Then, examining the modifications in the thermodynamic properties of near-extremal charged species compared to the uncharged case, we uncover interesting implications for the cosmology of an expanding universe, particularly within the context of the Dark Dimensions Scenario. Finally, we explore possible microscopic constructions in non-supersymmetric string theories in which towers of charged near-extremal species may arise., Comment: 31 pages, 1 figure. v2: journal version
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- 2024
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80. On the duration of face-to-face contacts
- Author
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Plaszczynski, Stephane, Nakamura, Gilberto, Grammaticos, Basile, and Badoual, Mathilde
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Physics - Physics and Society - Abstract
The analysis of social networks, in particular those describing face-to-face interactions between individuals, is complex due to the intertwining of the topological and temporal aspects. We revisit them both, using public data recorded by the sociopatterns wearable sensors in some very different sociological environments, putting particular emphasis on the contact duration timelines. As well known, the distribution of the contact duration for all the interactions within a group is broad, with tails that resemble each other, but not precisely, in different contexts. By separating each interacting pair, we find that the fluctuations of the contact duration around the mean-interaction time follow however a very similar pattern. This common robust behavior is observed on 7 different datasets. It suggests that, although the set of persons we interact with and the mean-time spent together, depend strongly on the environment, our tendency to allocate more or less time than usual with a given individual is invariant, i.e. governed by some rules that lie outside the social context. Additional data reveal the same fluctuations in a baboon population. This new metric, which we call the relation *contrast*, can be used to build and test agent-based models, or as an input for describing long duration contacts in epidemiological studies., Comment: published version. arXiv admin note: text overlap with arXiv:2212.06673
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- 2024
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81. Spinor-helicity representations of (A)dS$_4$ particles of any mass
- Author
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Basile, Thomas, Joung, Euihun, Mkrtchyan, Karapet, and Mojaza, Matin
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High Energy Physics - Theory - Abstract
The spinor-helicity representations of massive and (partially-)massless particles in four dimensional (Anti-) de Sitter spacetime are studied within the framework of the dual pair correspondence. We show that the dual groups (aka "little groups") of the AdS and dS groups are respectively $O(2N)$ and $O^*(2N)$. For $N=1$, the generator of the dual algebra $\mathfrak{so}(2)\cong \mathfrak{so}^*(2) \cong \mathfrak{u}(1)$ corresponds to the helicity operator, and the spinor-helicity representation describes massless particles in (A)dS$_4$. For $N=2$, the dual algebra is composed of two ideals, $\mathfrak{s}$ and $\mathfrak{m}_\Lambda$. The former ideal $\mathfrak{s}\cong \mathfrak{so}(3)$ fixes the spin of the particle, while the mass is determined by the latter ideal $\mathfrak{m}_\Lambda$, which is isomorphic to $\mathfrak{so}(2,1)$, $\mathfrak{iso}(2)$ or $\mathfrak{so}(3)$ depending on the cosmological constant being positive, zero or negative. In the case of a positive cosmological constant, namely dS$_4$, the spinor-helicity representation contains all massive particles corresponding to the principal series representations and the partially-massless particles corresponding to the discrete series representations leaving out only the light massive particles corresponding to the complementary series representations. The zero and negative cosmological constant cases, which had been addressed in earlier references, are also discussed briefly. Finally, we consider the multilinear form of helicity spinors invariant under (A)dS group, which can be served for the (A)dS counterpart of the scattering amplitude, and discuss technical differences and difficulties of the (A)dS cases compared to the flat spacetime case., Comment: 25 pages
- Published
- 2024
82. Taste of success: a strategic framework for product innovation in the food and beverage industry
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Malekpour, Mehrgan, Caboni, Federica, Nikzadask, Mohsen, and Basile, Vincenzo
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- 2024
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83. Instantaneous Frequency Estimation in Multicomponent Signals in Case of Interference Based on the Prony Method
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Dubois-Bonnaire, Basile, Meignen, Sylvain, and Polisano, Kévin
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Electrical Engineering and Systems Science - Signal Processing - Abstract
In this paper, we develop a general method to estimate the instantaneous frequencies of the modes making up a multicomponent signal when the former exhibit interference in the time-frequency plane. In particular, studying the representation given by the spectrogram, we show that it is possible to characterize the interference between the modes using the Prony method, which enables us to build a novel instantaneous frequency estimator for the mode. The relevance of the proposed approach is demonstrated by comparing it with different stateof-the art techniques based on ridge detection.
- Published
- 2023
84. Trusted Execution Environment for Decentralized Process Mining
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Goretti, Valerio, Basile, Davide, Barbaro, Luca, and Di Ciccio, Claudio
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Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Cryptography and Security - Abstract
Inter-organizational business processes involve multiple independent organizations collaborating to achieve mutual interests. Process mining techniques have the potential to allow these organizations to enhance operational efficiency, improve performance, and deepen the understanding of their business based on the recorded process event data. However, inter-organizational process mining faces substantial challenges, including topical secrecy concerns: The involved organizations may not be willing to expose their own data to run mining algorithms jointly with their counterparts or third parties. In this paper, we introduce CONFINE, a novel approach that unlocks process mining on multiple actors' process event data while safeguarding the secrecy and integrity of the original records in an inter-organizational business setting. To ensure that the phases of the presented interaction protocol are secure and that the processed information is hidden from involved and external actors alike, our approach resorts to a decentralized architecture comprised of trusted applications running in Trusted Execution Environments (TEEs). We show the feasibility of our solution by showcasing its application to a healthcare scenario and evaluating our implementation in terms of memory usage and scalability on real-world event logs.
- Published
- 2023
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85. LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
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Basile, Pierpaolo, Musacchio, Elio, Polignano, Marco, Siciliani, Lucia, Fiameni, Giuseppe, and Semeraro, Giovanni
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Computer Science - Computation and Language - Abstract
Large Language Models represent state-of-the-art linguistic models designed to equip computers with the ability to comprehend natural language. With its exceptional capacity to capture complex contextual relationships, the LLaMA (Large Language Model Meta AI) family represents a novel advancement in the field of natural language processing by releasing foundational models designed to improve the natural language understanding abilities of the transformer architecture thanks to their large amount of trainable parameters (7, 13, and 70 billion parameters). In many natural language understanding tasks, these models obtain the same performances as private company models such as OpenAI Chat-GPT with the advantage to make publicly available weights and code for research and commercial uses. In this work, we investigate the possibility of Language Adaptation for LLaMA models, explicitly focusing on addressing the challenge of Italian Language coverage. Adopting an open science approach, we explore various tuning approaches to ensure a high-quality text generated in Italian suitable for common tasks in this underrepresented language in the original models' datasets. We aim to release effective text generation models with strong linguistic properties for many tasks that seem challenging using multilingual or general-purpose LLMs. By leveraging an open science philosophy, this study contributes to Language Adaptation strategies for the Italian language by introducing the novel LLaMAntino family of Italian LLMs.
- Published
- 2023
86. Monitoring the evolution of relative product populations at early times during a photochemical reaction
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Nunes, Joao Pedro Figueira, Ibele, Lea Maria, Pathak, Shashank, Attar, Andrew R., Bhattacharyya, Surjendu, Boll, Rebecca, Borne, Kurtis, Centurion, Martin, Erk, Benjamin, Lin, Ming-Fu, Forbes, Ruaridh J. G., Goff, Nate, Hansen, Christopher S., Hoffmann, Matthias, Holland, David M. P., Ingle, Rebecca A., Luo, Duan, Muvva, Sri Bhavya, Reid, Alex, Rouzée, Arnaud, Rudenko, Artem, Saha, Sajib Kumar, Shen, Xiaozhe, Venkatachalam, Anbu Selvam, Wang, Xijie, Ware, Matt R., Weathersby, Stephen P., Wilkin, Kyle, Wolf, Thomas J. A., Xiong, Yanwei, Yang, Jie, Ashfold, Michael N. R., Rolles, Daniel, and Curchod, Basile F. E.
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Physics - Chemical Physics - Abstract
Identifying multiple rival reaction products and transient species formed during ultrafast photochemical reactions and determining their time-evolving relative populations are key steps towards understanding and predicting photochemical outcomes. Yet, most contemporary ultrafast studies struggle with clearly identifying and quantifying competing molecular structures/species amongst the emerging reaction products. Here, we show that mega-electronvolt ultrafast electron diffraction in combination with ab initio molecular dynamics calculations offer a powerful route to determining time-resolved populations of the various isomeric products formed after UV (266 nm) excitation of the five-membered heterocyclic molecule 2(5H)-thiophenone. This strategy provides experimental validation of the predicted high (~50%) yield of an episulfide isomer containing a strained 3-membered ring within ~1 ps of photoexcitation and highlights the rapidity of interconversion between the rival highly vibrationally excited photoproducts in their ground electronic state.
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- 2023
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87. Shedding black hole light on the emergent string conjecture
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Basile, Ivano, Lust, Dieter, and Montella, Carmine
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High Energy Physics - Theory ,General Relativity and Quantum Cosmology - Abstract
Asymptotically massless towers of species are ubiquitous in the string landscape when infinite-distance limits are approached. Due to the remarkable properties of string dualities, they always comprise Kaluza-Klein states or higher-spin excitations of weakly coupled, asymptotically tensionless critical strings. The connection between towers of light species and small black holes warrants seeking a bottom-up rationale for this dichotomoy, dubbed emergent string conjecture. In this paper we move a first step in this direction, exploring bottom-up constraints on towers of light species motivated purely from the consistency of the corresponding thermodynamic picture for small black holes. These constraints shed light on the allowed towers in quantum gravity, and, upon combining them with unitarity and causality constraints from perturbative graviton scattering, they provide evidence for the emergent string scenario with no reference to a specific ultraviolet completion., Comment: 45 pages, 1 figure, 1 table, v2: journal version
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- 2023
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88. Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
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Mokhberian, Negar, Marmarelis, Myrl G., Hopp, Frederic R., Basile, Valerio, Morstatter, Fred, and Lerman, Kristina
- Subjects
Computer Science - Computation and Language - Abstract
Supervised classification heavily depends on datasets annotated by humans. However, in subjective tasks such as toxicity classification, these annotations often exhibit low agreement among raters. Annotations have commonly been aggregated by employing methods like majority voting to determine a single ground truth label. In subjective tasks, aggregating labels will result in biased labeling and, consequently, biased models that can overlook minority opinions. Previous studies have shed light on the pitfalls of label aggregation and have introduced a handful of practical approaches to tackle this issue. Recently proposed multi-annotator models, which predict labels individually per annotator, are vulnerable to under-determination for annotators with few samples. This problem is exacerbated in crowdsourced datasets. In this work, we propose \textbf{Annotator Aware Representations for Texts (AART)} for subjective classification tasks. Our approach involves learning representations of annotators, allowing for exploration of annotation behaviors. We show the improvement of our method on metrics that assess the performance on capturing individual annotators' perspectives. Additionally, we demonstrate fairness metrics to evaluate our model's equability of performance for marginalized annotators compared to others.
- Published
- 2023
89. Model-independent search for pair production of new bosons decaying into muons in proton-proton collisions at s = 13 TeV
- Author
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Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Van Laer, T., Van Mechelen, P., Breugelmans, N., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., Heyen, F., Lowette, S., Makarenko, I., Müller, D., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Bilin, B., Clerbaux, B., Das, A. K., De Lentdecker, G., Evard, H., Favart, L., Gianneios, P., Jaramillo, J., Khalilzadeh, A., Khan, F. A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Shahzad, M. A., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Gokbulut, G., Hong, Y., Knolle, J., Lambrecht, L., Marckx, D., Mota Amarilo, K., Samalan, A., Skovpen, K., Van Den Bossche, N., van der Linden, J., Wezenbeek, L., Benecke, A., Bethani, A., Bruno, G., Caputo, C., De Favereau De Jeneret, J., Delaere, C., Donertas, I. S., Giammanco, A., Guzel, A. O., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Tran, T. T., Wertz, S., Alves, G. A., Alves Gallo Pereira, M., Coelho, E., Correia Silva, G., Hensel, C., Menezes De Oliveira, T., Mora Herrera, C., Moraes, A., Rebello Teles, P., Soeiro, M., Vilela Pereira, A., Aldá Júnior, W. L., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Gomes De Souza, R., Macedo, M., Martins, J., Mundim, L., Nogima, H., Pinheiro, J. P., Santoro, A., Sznajder, A., Thiel, M., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Lopes Da Costa, B., Maietto Silverio, I., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Javaid, T., Yuan, L., Hu, Z., Liang, Z., Liu, J., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Zhao, J., Agapitos, A., Ban, Y., Deng, S., Guo, B., Jiang, C., Levin, A., Li, C., Li, Q., Mao, Y., Qian, S., Qian, S. J., Qin, X., Sun, X., Wang, D., Yang, H., Zhang, L., Zhao, Y., Zhou, C., Yang, S., You, Z., Jaffel, K., Lu, N., Bauer, G., Li, B., Zhang, J., Gao, X., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. A., Ramirez, F., Rendón, C., Rodriguez, M., Ruales Barbosa, A. A., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Sculac, A., Kovac, M., Petkovic, A., Sculac, T., Bargassa, P., Brigljevic, V., Chitroda, B. K., Ferencek, D., Jakovcic, K., Mishra, S., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Hadjiagapiou, A., Leonidou, C., Mousa, J., Nicolaou, C., Paizanos, L., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Stepennov, A., Finger, M., Finger, Jr., M., Kveton, A., Carrera Jarrin, E., Assran, Y., El-mahdy, B., Elgammal, S., Lotfy, A., Mohammed, Y., Ehataht, K., Kadastik, M., Lange, T., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Bin Norjoharuddeen, N., Brücken, E., Garcia, F., Inkaew, P., Kallonen, K. T. S., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Martikainen, L., Myllymäki, M., Rantanen, M. m., Siikonen, H., Tuominiemi, J., Luukka, P., Petrow, H., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Kumar, M., Lohezic, V., Malcles, J., Orlandi, F., Portales, L., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Tornago, M., Beaudette, F., Boldrini, G., Busson, P., Cappati, A., Charlot, C., Chiusi, M., Damas, F., Davignon, O., De Wit, A., Ehle, I. T., Fontana Santos Alves, B. A., Ghosh, S., Gilbert, A., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Kalipoliti, L., Liu, G., Nguyen, M., Ochando, C., Salerno, R., Sauvan, J. B., Sirois, Y., Urda Gómez, L., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Brom, J.-M., Chabert, E. C., Collard, C., Falke, S., Goerlach, U., Haeberle, R., Le Bihan, A.-C., Meena, M., Poncet, O., Saha, G., Sessini, M. A., Van Hove, P., Vaucelle, P., Di Florio, A., Amram, D., Beauceron, S., Blancon, B., Boudoul, G., Chanon, N., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Greenberg, C., Grenier, G., Ille, B., Jourd’huy, E., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Purohit, A., Vander Donckt, M., Verdier, P., Xiao, J., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Botta, V., Consuegra Rodríguez, S., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Pérez Adán, D., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Engelke, F., Erdmann, J., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Jung, A., Lee, M. y., Mausolf, F., Merschmeyer, M., Meyer, A., Mukherjee, S., Noll, D., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Rehm, F., Reithler, H., Sarkisovi, V., Schmidt, A., Sharma, A., Spah, J. L., Stein, A., Torres Da Silva De Araujo, F., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Kress, T., Nowack, A., Pooth, O., Stahl, A., Ziemons, T., Zotz, A., Aarup Petersen, H., Aldaya Martin, M., Alimena, J., Amoroso, S., An, Y., Bach, J., Baxter, S., Bayatmakou, M., Becerril Gonzalez, H., Behnke, O., Belvedere, A., Bhattacharya, S., Blekman, F., Borras, K., Campbell, A., Cardini, A., Cheng, C., Colombina, F., De Silva, M., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Guglielmi, V., Guthoff, M., Hinzmann, A., Jeppe, L., Kaech, B., Kasemann, M., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Leyva Pernia, D., Lipka, K., Lohmann, W., Lorkowski, F., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Meyer, A. B., Milella, G., Moral Figueroa, K., Mussgiller, A., Nair, L. P., Niedziela, J., Nürnberg, A., Otarid, Y., Park, J., Ranken, E., Raspereza, A., Rastorguev, D., Rübenach, J., Rygaard, L., Saggio, A., Scham, M., Schnake, S., Schütze, P., Schwanenberger, C., Selivanova, D., Sharko, K., Shchedrolosiev, M., Stafford, D., Vazzoler, F., Ventura Barroso, A., Walsh, R., Wang, D., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Yang, Y., Zimermmane Castro Santos, A., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bollweg, S., Bonanomi, M., Connor, P., El Morabit, K., Fischer, Y., Garutti, E., Grohsjean, A., Haller, J., Jabusch, H. R., Kasieczka, G., Keicher, P., Klanner, R., Korcari, W., Kramer, T., Kuo, C. c., Kutzner, V., Labe, F., Lange, J., Lobanov, A., Matthies, C., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Pena Rodriguez, K. J., Quadfasel, T., Raciti, B., Rieger, M., Savoiu, D., Schindler, J., Schleper, P., Schröder, M., Schwandt, J., Sommerhalder, M., Stadie, H., Steinbrück, G., Tews, A., Wolf, M., Brommer, S., Burkart, M., Butz, E., Chwalek, T., Dierlamm, A., Droll, A., Faltermann, N., Giffels, M., Gottmann, A., Hartmann, F., Hofsaess, R., Horzela, M., Husemann, U., Kieseler, J., Klute, M., Koppenhöfer, R., Lawhorn, J. M., Link, M., Lintuluoto, A., Maier, B., Maier, S., Mitra, S., Mormile, M., Müller, Th., Neukum, M., Oh, M., Pfeffer, E., Presilla, M., Quast, G., Rabbertz, K., Regnery, B., Shadskiy, N., Shvetsov, I., Simonis, H. J., Sowa, L., Stockmeier, L., Tauqeer, K., Toms, M., Trevisani, N., Von Cube, R. F., Wassmer, M., Wieland, S., Wittig, F., Wolf, R., Zuo, X., Anagnostou, G., Daskalakis, G., Kyriakis, A., Papadopoulos, A., Stakia, A., Kontaxakis, P., Melachroinos, G., Painesis, Z., Papavergou, I., Paraskevas, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Zisopoulos, I., Bakas, G., Chatzistavrou, T., Karapostoli, G., Kousouris, K., Papakrivopoulos, I., Siamarkou, E., Tsipolitis, G., Zacharopoulou, A., Adamidis, K., Bestintzanos, I., Evangelou, I., Foudas, C., Kamtsikis, C., Katsoulis, P., Kokkas, P., Kosmoglou Kioseoglou, P. G., Manthos, N., Papadopoulos, I., Strologas, J., Hajdu, C., Horvath, D., Márton, K., Rádl, A. J., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Fehérkuti, A., Gadallah, M. M. A., Kadlecsik, Á., Major, P., Pásztor, G., Veres, G. I., Ujvari, B., Zilizi, G., Bencze, G., Czellar, S., Molnar, J., Szillasi, Z., Nemes, F., Novak, T., Babbar, J., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Kaur, A., Kaur, A., Kaur, H., Kaur, M., Kumar, S., Sandeep, K., Sheokand, T., Singh, J. B., Singla, A., Ahmed, A., Bhardwaj, A., Chhetri, A., Choudhary, B. C., Kumar, A., Kumar, A., Naimuddin, M., Ranjan, K., Saini, M. K., Saumya, S., Baradia, S., Barman, S., Bhattacharya, S., Das Gupta, S., Dutta, S., Dutta, S., Sarkar, S., Ameen, M. M., Behera, P. K., Behera, S. C., Chatterjee, S., Dash, G., Jana, P., Kalbhor, P., Kamble, S., Komaragiri, J. R., Kumar, D., Pujahari, P. R., Saha, N. R., Sharma, A., Sikdar, A. K., Singh, R. K., Verma, P., Verma, S., Vijay, A., Dugad, S., Mohanty, G. B., Parida, B., Shelake, M., Suryadevara, P., Bala, A., Banerjee, S., Chatterjee, R. M., Guchait, M., Jain, Sh., Jaiswal, A., Kumar, S., Majumder, G., Mazumdar, K., Parolia, S., Thachayath, A., Bahinipati, S., Kar, C., Maity, D., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. K., Naskar, K., Nayak, A., Nayak, S., Pal, K., Sadangi, P., Swain, S. K., Varghese, S., Vats, D., Acharya, S., Alpana, A., Dube, S., Gomber, B., Hazarika, P., Kansal, B., Laha, A., Sahu, B., Sharma, S., Vaish, K. Y., Bakhshiansohi, H., Jafari, A., Zeinali, M., Bashiri, S., Chenarani, S., Etesami, S. M., Hosseini, Y., Khakzad, M., Khazaie, E., Mohammadi Najafabadi, M., Tizchang, S., Felcini, M., Grunewald, M., Abbrescia, M., Colaleo, A., Creanza, D., D’Anzi, B., De Filippis, N., De Palma, M., Elmetenawee, W., Fiore, L., Iaselli, G., Longo, L., Louka, M., Maggi, G., Maggi, M., Margjeka, I., Mastrapasqua, V., My, S., Nuzzo, S., Pellecchia, A., Pompili, A., Pugliese, G., Radogna, R., Ramos, D., Ranieri, A., Silvestris, L., Simone, F. M., Sözbilir, Ü., Stamerra, A., Troiano, D., Venditti, R., Verwilligen, P., Zaza, A., Abbiendi, G., Battilana, C., Bonacorsi, D., Capiluppi, P., Castro, A., Cavallo, F. R., Cuffiani, M., Dallavalle, G. M., Diotalevi, T., Fabbri, F., Fanfani, A., Fasanella, D., Giacomelli, P., Giommi, L., Grandi, C., Guiducci, L., Lo Meo, S., Lorusso, M., Lunerti, L., Marcellini, S., Masetti, G., Navarria, F. L., Paggi, G., Perrotta, A., Primavera, F., Rossi, A. M., Rossi Tisbeni, S., Rovelli, T., Siroli, G. P., Costa, S., Di Mattia, A., Lapertosa, A., Potenza, R., Tricomi, A., Tuve, C., Assiouras, P., Barbagli, G., Bardelli, G., Camaiani, B., Cassese, A., Ceccarelli, R., Ciulli, V., Civinini, C., D’Alessandro, R., Focardi, E., Kello, T., Latino, G., Lenzi, P., Lizzo, M., Meschini, M., Paoletti, S., Papanastassiou, A., Sguazzoni, G., Viliani, L., Benussi, L., Bianco, S., Meola, S., Piccolo, D., Chatagnon, P., Ferro, F., Robutti, E., Tosi, S., Benaglia, A., Brivio, F., Cetorelli, F., De Guio, F., Dinardo, M. E., Dini, P., Gennai, S., Gerosa, R., Ghezzi, A., Govoni, P., Guzzi, L., Lucchini, M. T., Malberti, M., Malvezzi, S., Massironi, A., Menasce, D., Moroni, L., Paganoni, M., Palluotto, S., Pedrini, D., Perego, A., Pinolini, B. S., Pizzati, G., Ragazzi, S., Tabarelli de Fatis, T., Buontempo, S., Cagnotta, A., Carnevali, F., Cavallo, N., Fabozzi, F., Iorio, A. O. M., Lista, L., Paolucci, P., Ardino, R., Azzi, P., Bacchetta, N., Bisello, D., Bortignon, P., Bortolato, G., Bragagnolo, A., Bulla, A. C. M., Carlin, R., Dorigo, T., Gasparini, F., Gasparini, U., Lusiani, E., Margoni, M., Meneguzzo, A. T., Migliorini, M., Montecassiano, F., Pazzini, J., Ronchese, P., Rossin, R., Simonetto, F., Tosi, M., Triossi, A., Ventura, S., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Montagna, P., Re, V., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Ajmal, S., Ascioti, M. E., Bilei, G. M., Carrivale, C., Ciangottini, D., Fanò, L., Magherini, M., Mariani, V., Menichelli, M., Moscatelli, F., Rossi, A., Santocchia, A., Spiga, D., Tedeschi, T., Alexe, C. A., Asenov, P., Azzurri, P., Bagliesi, G., Bhattacharya, R., Bianchini, L., Boccali, T., Bossini, E., Bruschini, D., Castaldi, R., Ciocci, M. A., Cipriani, M., D’Amante, V., Dell’Orso, R., Donato, S., Giassi, A., Ligabue, F., Marini, A. C., Matos Figueiredo, D., Messineo, A., Musich, M., Palla, F., Rizzi, A., Rolandi, G., Roy Chowdhury, S., Sarkar, T., Scribano, A., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Vaselli, F., Venturi, A., Verdini, P. G., Baldenegro Barrera, C., Barria, P., Basile, C., Campana, M., Cavallari, F., Cunqueiro Mendez, L., Del Re, D., Di Marco, E., Diemoz, M., Errico, F., Longo, E., Mijuskovic, J., Organtini, G., Pandolfi, F., Paramatti, R., Quaranta, C., Rahatlou, S., Rovelli, C., Santanastasio, F., Soffi, L., Amapane, N., Arcidiacono, R., Argiro, S., Arneodo, M., Bartosik, N., Bellan, R., Bellora, A., Biino, C., Borca, C., Cartiglia, N., Costa, M., Covarelli, R., Demaria, N., Finco, L., Grippo, M., Kiani, B., Legger, F., Luongo, F., Mariotti, C., Markovic, L., Maselli, S., Mecca, A., Menzio, L., Meridiani, P., Migliore, E., Monteno, M., Mulargia, R., Obertino, M. M., Ortona, G., Pacher, L., Pastrone, N., Pelliccioni, M., Ruspa, M., Siviero, F., Sola, V., Solano, A., Staiano, A., Tarricone, C., Trocino, D., Umoret, G., White, R., Belforte, S., Candelise, V., Casarsa, M., Cossutti, F., De Leo, K., Della Ricca, G., Dogra, S., Hong, J., Huh, C., Kim, B., Kim, J., Lee, D., Lee, H., Lee, S. W., Moon, C. S., Oh, Y. D., Ryu, M. S., Sekmen, S., Tae, B., Yang, Y. C., Kim, M. S., Bak, G., Gwak, P., Kim, H., Moon, D. H., Asilar, E., Choi, J., Kim, D., Kim, T. J., Merlin, J. A., Ryou, Y., Choi, S., Han, S., Hong, B., Lee, K., Lee, K. S., Lee, S., Yoo, J., Goh, J., Yang, S., Kim, H. S., Kim, Y., Lee, S., Almond, J., Bhyun, J. H., Choi, J., Choi, J., Jun, W., Kim, J., Ko, S., Kwon, H., Lee, H., Lee, J., Lee, J., Oh, B. H., Oh, S. B., Seo, H., Yang, U. K., Yoon, I., Jang, W., Kang, D. Y., Kang, Y., Kim, S., Ko, B., Lee, J. S. H., Lee, Y., Park, I. C., Roh, Y., Watson, I. J., Ha, S., Yoo, H. D., Choi, M., Kim, M. R., Lee, H., Lee, Y., Yu, I., Beyrouthy, T., Gharbia, Y., Alazemi, F., Dreimanis, K., Gaile, A., Pikurs, G., Potrebko, A., Seidel, M., Sidiropoulos Kontos, D., Strautnieks, N. R., Ambrozas, M., Juodagalvis, A., Rinkevicius, A., Tamulaitis, G., Yusuff, I., Zolkapli, Z., Benitez, J. F., Castaneda Hernandez, A., Encinas Acosta, H. A., Gallegos Maríñez, L. G., León Coello, M., Murillo Quijada, J. A., Sehrawat, A., Valencia Palomo, L., Ayala, G., Castilla-Valdez, H., Crotte Ledesma, H., De La Cruz-Burelo, E., Heredia-De La Cruz, I., Lopez-Fernandez, R., Mejia Guisao, J., Mondragon Herrera, C. A., Sánchez Hernández, A., Oropeza Barrera, C., Ramirez Guadarrama, D. L., Ramírez García, M., Bautista, I., Pedraza, I., Salazar Ibarguen, H. A., Uribe Estrada, C., Bubanja, I., Raicevic, N., Butler, P. H., Ahmad, A., Asghar, M. I., Awais, A., Awan, M. I. M., Hoorani, H. R., Khan, W. A., Avati, V., Grzanka, L., Malawski, M., Bialkowska, H., Bluj, M., Górski, M., Kazana, M., Szleper, M., Zalewski, P., Bunkowski, K., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski, J., Muhammad, A., Pozniak, K., Zabolotny, W., Araujo, M., Bastos, D., Beirão Da Cruz E. Silva, C., Boletti, A., Bozzo, M., Camporesi, T., Da Molin, G., Gallinaro, M., Hollar, J., Leonardo, N., Marozzo, G. B., Niknejad, T., Petrilli, A., Pisano, M., Seixas, J., Varela, J., Wulff, J. 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- 2024
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90. Functional anatomy and topographical organization of the frontotemporal arcuate fasciculus
- Author
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Basile, Gianpaolo Antonio, Nozais, Victor, Quartarone, Angelo, Giustiniani, Andreina, Ielo, Augusto, Cerasa, Antonio, Milardi, Demetrio, Abdallah, Majd, Thiebaut de Schotten, Michel, Forkel, Stephanie J., and Cacciola, Alberto
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- 2024
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91. Design of pseudosymmetric protein hetero-oligomers
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Kibler, Ryan D., Lee, Sangmin, Kennedy, Madison A., Wicky, Basile I. M., Lai, Stella M., Kostelic, Marius M., Carr, Ann, Li, Xinting, Chow, Cameron M., Nguyen, Tina K., Carter, Lauren, Wysocki, Vicki H., Stoddard, Barry L., and Baker, David
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- 2024
- Full Text
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92. Measurement of boosted Higgs bosons produced via vector boson fusion or gluon fusion in the H →bb¯s decay mode using LHC proton-proton collision data at bb¯s = 13 TeV
- Author
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Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Van Mechelen, P., Bols, E. S., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Makarenko, I., Müller, D., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Clerbaux, B., Das, A. K., De Lentdecker, G., Evard, H., Favart, L., Gianneios, P., Hohov, D., Jaramillo, J., Khalilzadeh, A., Khan, F. 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S., Zarubin, A., Zhizhin, I., Gavrilov, G., Golovtcov, V., Ivanov, Y., Kim, V., Levchenko, P., Murzin, V., Oreshkin, V., Sosnov, D., Sulimov, V., Uvarov, L., Vorobyev, A., Andreev, Yu., Dermenev, A., Gninenko, S., Golubev, N., Karneyeu, A., Kirpichnikov, D., Kirsanov, M., Krasnikov, N., Tlisova, I., Toropin, A., Aushev, T., Gavrilov, V., Lychkovskaya, N., Nikitenko, A., Popov, V., Zhokin, A., Chistov, R., Danilov, M., Polikarpov, S., Andreev, V., Azarkin, M., Kirakosyan, M., Terkulov, A., Belyaev, A., Boos, E., Bunichev, V., Dubinin, M., Dudko, L., Gribushin, A., Klyukhin, V., Kodolova, O., Obraztsov, S., Perfilov, M., Petrushanko, S., Savrin, V., Vorotnikov, G., Blinov, V., Dimova, T., Kozyrev, A., Radchenko, O., Skovpen, Y., Kachanov, V., Konstantinov, D., Slabospitskii, S., Uzunian, A., Babaev, A., Borshch, V., Druzhkin, D., Tcherniaev, E., Chekhovsky, V., and Makarenko, V.
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- 2024
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93. Instrumented swim test for quantifying motor impairment in rodents
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Hughes, Natasha C., Roberts, Dale C., Tarchini, Basile, and Cullen, Kathleen E.
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- 2024
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94. The burden of cirrhosis and other chronic liver disease in the middle east and North Africa (MENA) region over three decades
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Al Ta’ani, Omar, Aleyadeh, Wesam, Al-Ajlouni, Yazan, Alnimer, Lynna, Ismail, Abdellatif, Natour, Bashar, and Njei, Basile
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- 2024
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95. A tripartite taxonomy of character strengths & virtues: toward professional identity formation in medical students & physicians
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Post, Stephen G., Basile, Maria A., Iuli, Richard J., Migdal, Phyllis, Trilling, Jeffrey S., Wackett, Andrew, and Strano-Paul, Lisa
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- 2024
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96. Multi-channel portable odor delivery device for self-administered and rapid smell testing
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Hopper, Richard, Popa, Daniel, Maggioni, Emanuela, Patel, Devarsh, Obrist, Marianna, Landis, Basile Nicolas, Hsieh, Julien Wen, and Udrea, Florin
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- 2024
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97. Meteorological conditions and second-order moments of wind speed components over a nonuniform terrain in Dangbo, southeastern Benin
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Mamadou, Ossénatou, Mariscal, Armand, Koukoui, Djidjoho Renaud Roméo, Hounsinou, Miriam, and Kounouhéwa, Basile
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- 2024
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98. Portable Acceleration of CMS Computing Workflows with Coprocessors as a Service
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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
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- 2024
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99. Smoking, all-cause, and cause-specific mortality in individuals with diabetes in Mexico: an analysis of the Mexico city prospective study
- Author
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Ramírez-García, Daniel, Fermín-Martínez, Carlos A., Sánchez-Castro, Paulina, Núñez-Luna, Alejandra, Basile-Alvarez, Martín Roberto, Fernández-Chirino, Luisa, Vargas-Vázquez, Arsenio, Díaz-Sánchez, Juan Pablo, Kammar-García, Ashuin, Almeda-Valdés, Paloma, Berumen-Campos, Jaime, Kuri-Morales, Pablo, Tapia-Conyer, Roberto, Alegre-Díaz, Jesus, Seiglie, Jacqueline A., Antonio-Villa, Neftali Eduardo, and Bello-Chavolla, Omar Yaxmehen
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- 2024
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100. Tuning the B-CLL microenvironment: evidence for BAG3 protein- mediated regulation of stromal fibroblasts activity
- Author
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Basile, Anna, Giudice, Valentina, Mettivier, Laura, Falco, Antonia, Cammarota, Anna Lisa, D’Ardia, Angela, Selleri, Carmine, De Marco, Margot, De Maio, Nicola, Turco, Maria Caterina, Marzullo, Liberato, and Rosati, Alessandra
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- 2024
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