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41,354 results on '"Villani"'

52. Building pangenome graphs

Author

Garrison, Erik, Guarracino, Andrea, Heumos, Simon, Villani, Flavia, Bao, Zhigui, Tattini, Lorenzo, Hagmann, Jörg, Vorbrugg, Sebastian, Marco-Sola, Santiago, Kubica, Christian, Ashbrook, David G., Thorell, Kaisa, Rusholme-Pilcher, Rachel L., Liti, Gianni, Rudbeck, Emilio, Golicz, Agnieszka A., Nahnsen, Sven, Yang, Zuyu, Mwaniki, Moses Njagi, Nobrega, Franklin L., Wu, Yi, Chen, Hao, de Ligt, Joep, Sudmant, Peter H., Huang, Sanwen, Weigel, Detlef, Soranzo, Nicole, Colonna, Vincenza, Williams, Robert W., and Prins, Pjotr

Published
2024
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53. A γδ T cell–IL-3 axis controls allergic responses through sensory neurons

Author

Flayer, Cameron H., Kernin, Isabela J., Matatia, Peri R., Zeng, Xiangsunze, Yarmolinsky, David A., Han, Cai, Naik, Parth R., Buttaci, Dean R., Aderhold, Pamela A., Camire, Ryan B., Zhu, Xueping, Tirard, Alice J., McGuire, John T., Smith, Neal P., McKimmie, Clive S., McAlpine, Cameron S., Swirski, Filip K., Woolf, Clifford J., Villani, Alexandra-Chloe, and Sokol, Caroline L.

Published
2024
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61. Interplanetarymedium monitoring with LISA: Lessons from LISA Pathfinder

Author

Cesarini A., Grimani C., Benella S., Fabi M., Sabbatini F., Villani M., and Telloni D.

Subjects
gravitational wave interferometers, magnetometers, interplanetary magnetic field, galactic cosmic rays, Meteorology. Climatology, QC851-999
Abstract

The Laser Interferometer Space Antenna (LISA) of the European Space Agency (ESA) will be the first low-frequency gravitational-wave observatory orbiting the Sun at 1 AU. The LISA Pathfinder (LPF) mission, aiming at testing the instruments to be located on board the LISA spacecraft (S/C), hosted, among the others, fluxgate magnetometers and a particle detector as parts of a diagnostics subsystem. These instruments allowed us to estimate the magnetic and Coulomb spurious forces acting on the test masses that constitute the mirrors of the interferometer. With these instruments, we also had the possibility to study the galactic cosmic-ray short term-term variations as a function of the particle energy and the associated interplanetary disturbances. Platform magnetometers and particle detectors will also be placed on board each LISA S/C. This work reports on an empirical method that allowed us to disentangle the interplanetary and onboard-generated components of the magnetic field by using the LPF magnetometer measurements. Moreover, we estimate the number and fluence of solar energetic particle events expected to be observed with the ESA Next Generation Radiation Monitor during the mission lifetime. An additional cosmic-ray detector, similar to that designed for LPF, in combination with magnetometers, would permit to observe the evolution of recurrent and non-recurrent galactic cosmic-ray variations and associated increases of the Interplanetary Magnetic Field at the transit of high-speed solar wind streams and interplanetary counterparts of coronal mass ejections. The diagnostics subsystem of LISA makes this mission also a natural multi-point observatory for space weather science investigations.

Published
2022
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62. Joint estimation of the predictive ability of experts using a multi-output Gaussian process

Author

Oelrich, Oscar and Villani, Mattias

Subjects
Statistics - Methodology
Abstract

A multi-output Gaussian process (GP) is introduced as a model for the joint posterior distribution of the local predictive ability of set of models and/or experts, conditional on a vector of covariates, from historical predictions in the form of log predictive scores. Following a power transformation of the log scores, a GP with Gaussian noise can be used, which allows faster computation by first using Hamiltonian Monte Carlo to sample the hyper-parameters of the GP from a model where the latent GP surface has been marginalized out, and then using these draws to generate draws of joint predictive ability conditional on a new vector of covariates. Linear pools based on learned joint local predictive ability are applied to predict daily bike usage in Washington DC., Comment: 22 pages, 7 figures. This paper was included in the first author's PhD thesis: Oelrich, O. (2022) 'Learning Local Predictive Accuracy for Expert Evaluation and Forecast Combination' which can be found at https://su.diva-portal.org/smash/record.jsf?pid=diva2:1708601 . arXiv admin note: text overlap with arXiv:2402.02068

Published
2024

63. Modeling local predictive ability using power-transformed Gaussian processes

Author

Oelrich, Oscar and Villani, Mattias

Subjects
Statistics - Methodology
Abstract

A Gaussian process is proposed as a model for the posterior distribution of the local predictive ability of a model or expert, conditional on a vector of covariates, from historical predictions in the form of log predictive scores. Assuming Gaussian expert predictions and a Gaussian data generating process, a linear transformation of the predictive score follows a noncentral chi-squared distribution with one degree of freedom. Motivated by this we develop a noncentral chi-squared Gaussian process regression to flexibly model local predictive ability, with the posterior distribution of the latent GP function and kernel hyperparameters sampled by Hamiltonian Monte Carlo. We show that a cube-root transformation of the log scores is approximately Gaussian with homoscedastic variance, making it possible to estimate the model much faster by marginalizing the latent GP function analytically. A multi-output Gaussian process regression is also introduced to model the dependence in predictive ability between experts, both for inference and prediction purposes. Linear pools based on learned local predictive ability are applied to predict daily bike usage in Washington DC., Comment: 29 pages, 17 figures. All the material in this paper was included in the first author's PhD thesis: Oelrich, O. (2022) 'Learning Local Predictive Accuracy for Expert Evaluation and Forecast Combination' which can be found at https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-210919

Published
2024

64. $\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples

Author

Cinà, Antonio Emanuele, Villani, Francesco, Pintor, Maura, Schönherr, Lea, Biggio, Battista, and Pelillo, Marcello

Subjects
Computer Science - Machine Learning, Computer Science - Cryptography and Security, Computer Science - Computer Vision and Pattern Recognition
Abstract

Evaluating the adversarial robustness of deep networks to gradient-based attacks is challenging. While most attacks consider $\ell_2$- and $\ell_\infty$-norm constraints to craft input perturbations, only a few investigate sparse $\ell_1$- and $\ell_0$-norm attacks. In particular, $\ell_0$-norm attacks remain the least studied due to the inherent complexity of optimizing over a non-convex and non-differentiable constraint. However, evaluating adversarial robustness under these attacks could reveal weaknesses otherwise left untested with more conventional $\ell_2$- and $\ell_\infty$-norm attacks. In this work, we propose a novel $\ell_0$-norm attack, called $\sigma$-zero, which leverages a differentiable approximation of the $\ell_0$ norm to facilitate gradient-based optimization, and an adaptive projection operator to dynamically adjust the trade-off between loss minimization and perturbation sparsity. Extensive evaluations using MNIST, CIFAR10, and ImageNet datasets, involving robust and non-robust models, show that $\sigma$-zero finds minimum $\ell_0$-norm adversarial examples without requiring any time-consuming hyperparameter tuning, and that it outperforms all competing sparse attacks in terms of success rate, perturbation size, and efficiency., Comment: Code available at https://github.com/Cinofix/sigma-zero-adversarial-attack

Published
2024

66. A revamped rat reference genome improves the discovery of genetic diversity in laboratory rats

Author

de Jong, Tristan V, Pan, Yanchao, Rastas, Pasi, Munro, Daniel, Tutaj, Monika, Akil, Huda, Benner, Chris, Chen, Denghui, Chitre, Apurva S, Chow, William, Colonna, Vincenza, Dalgard, Clifton L, Demos, Wendy M, Doris, Peter A, Garrison, Erik, Geurts, Aron M, Gunturkun, Hakan M, Guryev, Victor, Hourlier, Thibaut, Howe, Kerstin, Huang, Jun, Kalbfleisch, Ted, Kim, Panjun, Li, Ling, Mahaffey, Spencer, Martin, Fergal J, Mohammadi, Pejman, Ozel, Ayse Bilge, Polesskaya, Oksana, Pravenec, Michal, Prins, Pjotr, Sebat, Jonathan, Smith, Jennifer R, Woods, Leah C Solberg, Tabakoff, Boris, Tracey, Alan, Uliano-Silva, Marcela, Villani, Flavia, Wang, Hongyang, Sharp, Burt M, Telese, Francesca, Jiang, Zhihua, Saba, Laura, Wang, Xusheng, Murphy, Terence D, Palmer, Abraham A, Kwitek, Anne E, Dwinell, Melinda R, Williams, Robert W, Li, Jun Z, and Chen, Hao

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Biotechnology, Good Health and Well Being, Rats, Animals, Genome, Molecular Sequence Annotation, Genomics, Whole Genome Sequencing, Genetic Variation, Rnor_6.0, genetic map, heterogeneous stock, hybrid rat diversity panel, inbred strains, mRatBN7.2, phylogenetic tree, rat, recombinant inbred, reference genome
Abstract

The seventh iteration of the reference genome assembly for Rattus norvegicus-mRatBN7.2-corrects numerous misplaced segments and reduces base-level errors by approximately 9-fold and increases contiguity by 290-fold compared with its predecessor. Gene annotations are now more complete, improving the mapping precision of genomic, transcriptomic, and proteomics datasets. We jointly analyzed 163 short-read whole-genome sequencing datasets representing 120 laboratory rat strains and substrains using mRatBN7.2. We defined ∼20.0 million sequence variations, of which 18,700 are predicted to potentially impact the function of 6,677 genes. We also generated a new rat genetic map from 1,893 heterogeneous stock rats and annotated transcription start sites and alternative polyadenylation sites. The mRatBN7.2 assembly, along with the extensive analysis of genomic variations among rat strains, enhances our understanding of the rat genome, providing researchers with an expanded resource for studies involving rats.

Published
2024

67. Chapter Biophilic design for remote studying environments

Author

Inglese, Giovanni, Lorenzo Mura, Alessandro, Alves, Susana, Bonaiuto, Marino, and Villani, Teresa

Subjects
Biophilic Design, Human-Centred Design, Remote Studying, Environmental Psychology, bic Book Industry Communication::W Lifestyle, sport & leisure::WJ Lifestyle & personal style guides::WJK Interior design, decor & style guides, bic Book Industry Communication::A The arts::AM Architecture, bic Book Industry Communication::R Earth sciences, geography, environment, planning::RN The environment::RNU Sustainability
Abstract

Transport: general interest

Published
2023
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68. A Framework for Joint Verification and Evaluation of Seasonal Climate Services across Socioeconomic Sectors

Author

Crochemore, Louise, Materia, Stefano, Delpiazzo, Elisa, Bagli, Stefano, Borrelli, Andrea, Bosello, Francesco, Contreras, Eva, Valle, Francesco Dalla, Gualdi, Silvio, Herrero, Javier, Larosa, Francesca, Lopez, Rafael, Luzzi, Valerio, Mazzoli, Paolo, Montani, Andrea, Moreno, Isabel, Pavan, Valentina, Pechlivanidis, Ilias, Tornei, Fausto, Villani, Giulia, Photiadou, Christiana, Polo, Maria Jose, and Mysiak, Jaroslav

Subjects
Decision analysis -- Methods, Weather forecasting -- Analysis, Hydrology -- Models, Climate models -- Usage, Business, Earth sciences
Abstract

Assessing the information provided by coproduced climate services is a timely challenge, given the continuously evolving scientific knowledge and its increasing translation to address societal needs. Here, we propose a joint evaluation and verification framework to assess prototype services that provide seasonal forecast information based on the experience from the Horizon 2020 (H2020) Climate forecasts enabled knowledge services (CLARA) project. The quality and value of the forecasts generated by CLARA services were first assessed for five climate services utilizing the Copernicus Climate Change Service seasonal forecasts and responding to knowledge needs from the water resources management, agriculture, and energy production sectors. This joint forecast verification and service evaluation highlights various skills and values across physical variables, services, and sectors, as well as a need to bridge the gap between verification and user-oriented evaluation. We provide lessons learned based on the service developers' and users' experience and recommendations to consortia that may want to deploy such verification and evaluation exercises. Last, we formalize a framework for joint verification and evaluation in service development, following a transdisciplinary (from data purveyors to service users) and interdisciplinary chain (climate, hydrology, economics, and decision analysis). SIGNIFICANCE STATEMENT: Tools to communicate climate-related information to users, typically dam managers, irrigation consortia, or energy producers, are fast evolving to answer societal needs. It is crucial to estimate the quality of the provided information, along with economic, environmental, and/or societal gains. Here, we exemplify how to assess information quality and potential gains in five services that provide data and information for hydropower, solar power, irrigation, and water reservoirs in Europe and South America. Based on this work, we recommend 1) service developers to well anticipate such quality and value assessments, due to the number of actors to be involved; 2) flexibility when screening how to quantify quality and gain to account for decision contexts; and 3) sustained funding or collaborating platforms to ensure the iterative coevaluation process. KEYWORDS: Forecast verification/skill; Seasonal forecasting; Climate services; Economic value, 1. Introduction Climate and water services convey climate-relevant knowledge and information (processed, structured, and well-communicated data interpreted for decision-making contexts) for horizons ranging from weeks to decades ahead. Climate services, [...]

Published
2024
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78. Semi-analytical and numerical solutions to Teukolsky equations for large fermion mass over black hole mass ratio

Author

Villani, Mattia

Subjects
General Relativity and Quantum Cosmology
Abstract

In a recent paper, we have studied the Teukolsky equations for fermions with mass $m_e\neq 0$ and rotating black hole of mass $M$. There, we have studied two cases: $\tilde{m}_e=m_e\,M^{-1}\ll 1$ and $a\omega\ll 1$; $\tilde{m}_e\ll 1$ and $a\omega \gtrsim 1$. Here we study the two remaining case case in which $\tilde{m}_e\gtrsim 1$ and $a\omega\ll 1$ using a semi-analytical approach and $\tilde{m}_e\gtrsim 1$ and $a\omega\gtrsim 1$ using a numerical approach. This case could be of some interest for the study of the interactions of fermions with small black holes, such as those formed in the last stages of the the Hawking evaporation process., Comment: 7 pages, two tables. arXiv admin note: text overlap with arXiv:2310.13645

Published
2023

79. Perturbative and semi-analytical solutions to Teukolsky equations for massive fermions

Author

Villani, Mattia

Subjects
General Relativity and Quantum Cosmology
Abstract

In this work, we aim at solving the Teukolsky equations for a fermion with mass $m_e\neq 0$ in the presence of a rotating black hole with mass $M$. We consider two different regimes: $\tilde{m}_e= M^{-1} m_e\ll 1$ and $a\omega \ll 1$; $\tilde{m}_e\ll 1$ and $a\omega \gtrsim 1$. We treat each of these two regimes in different ways: we use a perturbative approach for the first, similar to the \emph{usual} one employed for spin 0, 1, 2 and mass-less 1/2 fields, but with two small parameters (a$\omega$ and $\tilde{m}_e$); as we shall see, the second can be treated with a semi-analytical approach. In a forthcoming paper we shall study the remaining two cases in which $\tilde{m}_e \gtrsim 1$, while $a\omega \ll 1$ or $a\omega \gtrsim 1$. The regime with $\tilde{m}_e \ll 1$, but $a\omega\gtrsim 1$ is probably the most interesting from the astrophysics point of view, but this last two cases might be of some interest for the study of the interaction of fermions with very small black holes, which may be formed, for example, in the last stages of the Hawking evaporation., Comment: 17 pages

Published
2023

80. Characterization of hydrogenated amorphous silicon sensors on polyimide flexible substrate

Author

Menichelli, M., Antognini, L., Aziz, S., Bashiri, A., Bizzarri, M., Calcagnile, L., Caprai, M., Caputo, D., Caricato, A. P., Catalano, R., Chilà, D., Cirrone, G. A. P., Croci, T., Cuttone, G., De Cesare, G., Dunand, S., Fabi, M., Frontini, L., Grimani, C., Ionica, M., Kanxheri, K., Large, M., Liberali, V., Lovecchio, N., Martino, M., Maruccio, G., Mazza, G., Monteduro, A. G., Morozzi, A., Moscatelli, F., Nascetti, A., Pallotta, S., Papi, A., Passeri, D., Pedio, M., Petasecca, M., Petringa, G., Peverini, F., Piccolo, L., Placidi, P., Quarta, G., Rizzato, S., Rossi, G., Sabbatini, F., Servoli, L., Stabile, A., Talamonti, C., Thomet, J. E., Tosti, L., Villani, M., Wheadon, R. J., Wyrsch, N., and Zema, N.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

Hydrogenated amorphous silicon (a-Si:H) is a material having an intrinsically high radiation hardness that can be deposited on flexible substrates like Polyimide. For these properties a-Si:H can be used for the production of flexible sensors. a-Si:H sensors can be successfully utilized in dosimetry, beam monitoring for particle physics (x-ray, electron, gamma-ray and proton detection) and radiotherapy, radiation flux measurement for space applications (study of solar energetic particles and stellar events) and neutron flux measurements. In this paper we have studied the dosimetric x-ray response of n-i-p diodes deposited on Polyimide. We measured the linearity of the photocurrent response to x-rays versus dose-rate from which we have extracted the dosimetric x-ray sensitivity at various bias voltages. In particular low bias voltage operation has been studied to assess the high energy efficiency of these kind of sensor. A measurement of stability of x-ray response versus time has been shown. The effect of detectors annealing has been studied. Operation under bending at various bending radii is also shown.

Published
2023

81. A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis

Author

Migliorelli, Lucia, Berardini, Daniele, Cela, Kevin, Coccia, Michela, Villani, Laura, Frontoni, Emanuele, and Moccia, Sara

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

Background and objectives: Patients suffering from neurological diseases may develop dysarthria, a motor speech disorder affecting the execution of speech. Close and quantitative monitoring of dysarthria evolution is crucial for enabling clinicians to promptly implement patient management strategies and maximizing effectiveness and efficiency of communication functions in term of restoring, compensating or adjusting. In the clinical assessment of orofacial structures and functions, at rest condition or during speech and non-speech movements, a qualitative evaluation is usually performed, throughout visual observation. Methods: To overcome limitations posed by qualitative assessments, this work presents a store-and-forward self-service telemonitoring system that integrates, within its cloud architecture, a convolutional neural network (CNN) for analyzing video recordings acquired by individuals with dysarthria. This architecture, called facial landmark Mask RCNN, aims at locating facial landmarks as a prior for assessing the orofacial functions related to speech and examining dysarthria evolution in neurological diseases. Results: When tested on the Toronto NeuroFace dataset, a publicly available annotated dataset of video recordings from patients with amyotrophic lateral sclerosis (ALS) and stroke, the proposed CNN achieved a normalized mean error equal to 1.79 on localizing the facial landmarks. We also tested our system in a real-life scenario on 11 bulbar-onset ALS subjects, obtaining promising outcomes in terms of facial landmark position estimation. Discussion and conclusions: This preliminary study represents a relevant step towards the use of remote tools to support clinicians in monitoring the evolution of dysarthria.

Published
2023
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82. Abstract Sentences elicit more Uncertainty and Curiosity than Concrete Sentences

Author

Mazzuca, Claudia, Villani, Caterina, Lamarra, Tommaso, Bolognesi, Marianna M, and Borghi, Anna

Subjects
Linguistics, Psychology, Concepts and categories, Language understanding, Computer-based experiment
Abstract

Are abstract sentences associated with specific constructs in dialogue, i.e., higher uncertainty, more curiosity and willingness to continue a conversation, and more causal questions? In three preregistered experiments we address these questions asking participants to evaluate the plausibility of linguistic exchanges referred to concrete and abstract concepts. Results support theories proposing that abstract concepts involve more inner monitoring and social dynamics compared to concrete concepts, and suggest that reaching alignment in dialogue is more effortful with abstract than with concrete concepts.

Published
2024

83. Multiplicity dependence of charged-particle intra-jet properties in pp collisions at s = 13 TeV

Author

Acharya, S., Adamová, D., Rinella, G. Aglieri, Aglietta, L., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Molina, R. Alfaro, Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Andronov, E., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Bala, R., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barreau, E., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Alba, J. L. Bazo, Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, L. G. E., Beltran, Y. A. V., Bencedi, G., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhat, M. A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Boi, S., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buckland, M. D., Budnikov, D., Buesching, H., Bufalino, S., Buhler, P., Burmasov, N., Buthelezi, Z., Bylinkin, A., Bysiak, S. A., Cabanillas Noris, J. C., Cai, M., Caines, H., Caliva, A., Calvo Villar, E., Camacho, J. M. M., Camerini, P., Canedo, F. D. M., Cantway, S. L., Carabas, M., Carballo, A. A., Carnesecchi, F., Caron, R., Carvalho, L. A. D., Castillo Castellanos, J., Catalano, F., Cattaruzzi, S., Ceballos Sanchez, C., Cerri, R., Chakaberia, I., Chakraborty, P., Chandra, S., Chapeland, S., Chartier, M., Chattopadhyay, S., Chattopadhyay, S., Cheng, T., Cheshkov, C., Chibante Barroso, V., Chinellato, D. D., Chizzali, E. S., Cho, J., Cho, S., Chochula, P., Choudhury, D., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Ciacco, M., Cicalo, C., Ciupek, M. R., Clai, G., Colamaria, F., Colburn, J. S., Colella, D., Colocci, M., Concas, M., Conesa Balbastre, G., Conesa del Valle, Z., Contin, G., Contreras, J. G., Coquet, M. L., Cortese, P., Cosentino, M. R., Costa, F., Costanza, S., Cot, C., Crkovská, J., Crochet, P., Cruz-Torres, R., Cui, P., Dainese, A., Danisch, M. C., Danu, A., Das, P., Das, P., Das, S., Dash, A. R., Dash, S., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Martin, C., De Pasquale, S., Deb, R., Del Grande, R., Stritto, L. Dello, Deng, W., Dhankher, P., Di Bari, D., Di Mauro, A., Diab, B., Diaz, R. A., Dietel, T., Ding, Y., Ditzel, J., Divià, R., Dixit, D. U., Djuvsland, Ø., Dmitrieva, U., Dobrin, A., Dönigus, B., Dubinski, J. M., Dubla, A., Dudi, S., Dupieux, P., Durkac, M., Dzalaiova, N., Eder, T. M., Ehlers, R. J., Eisenhut, F., Ejima, R., Elia, D., Erazmus, B., Ercolessi, F., Espagnon, B., Eulisse, G., Evans, D., Evdokimov, S., Fabbietti, L., Faggin, M., Faivre, J., Fan, F., Fan, W., Fantoni, A., Fasel, M., Feliciello, A., Feofilov, G., Fernández Téllez, A., Ferrandi, L., Ferrer, M. B., Ferrero, A., Ferrero, C., Ferretti, A., Feuillard, V. J. G., Filova, V., Finogeev, D., Fionda, F. M., Flatland, E., Flor, F., Flores, A. N., Foertsch, S., Fokin, I., Fokin, S., Fragiacomo, E., Frajna, E., Fuchs, U., Funicello, N., Furget, C., Furs, A., Fusayasu, T., Gaardhøje, J. J., Gagliardi, M., Gago, A. M., Gahlaut, T., Galvan, C. D., Gangadharan, D. R., Ganoti, P., Garabatos, C., García Chávez, T., Garcia-Solis, E., Gargiulo, C., Gasik, P., Gautam, A., Gay Ducati, M. B., Germain, M., Ghimouz, A., Ghosh, C., Giacalone, M., Gioachin, G., Giubellino, P., Giubilato, P., Glaenzer, A. M. C., Glässel, P., Glimos, E., Goh, D. J. Q., Gonzalez, V., Gordeev, P., Gorgon, M., Goswami, K., Gotovac, S., Grabski, V., Graczykowski, L. K., Grecka, E., Grelli, A., Grigoras, C., Grigoriev, V., Grigoryan, S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Grund, D., Grunwald, N. A., Guardiano, G. G., Guernane, R., Guilbaud, M., Gulbrandsen, K., Gündem, T., Gunji, T., Guo, W., Gupta, A., Gupta, R., Gupta, R., Gwizdziel, K., Gyulai, L., Hadjidakis, C., Haider, F. U., Haidlova, S., Haldar, M., Hamagaki, H., Hamdi, A., Han, Y., Hanley, B. G., Hannigan, R., Hansen, J., Harris, J. W., Harton, A., Hartung, M. V., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Hellbär, E., Helstrup, H., Hemmer, M., Herman, T., Herrera Corral, G., Herrmann, F., Herrmann, S., Hetland, K. F., Heybeck, B., Hillemanns, H., Hippolyte, B., Hoffmann, F. W., Hofman, B., Hong, G. H., Horst, M., Horzyk, A., Hou, Y., Hristov, P., Huhn, P., Huhta, L. M., Humanic, T. J., Hutson, A., Hutter, D., Hwang, M. C., Ilkaev, R., Ilyas, H., Inaba, M., Innocenti, G. M., Ippolitov, M., Isakov, A., Isidori, T., Islam, M. S., Ivanov, M., Ivanov, M., Ivanov, V., Iversen, K. E., Jablonski, M., Jacak, B., Jacazio, N., Jacobs, P. M., Jadlovska, S., Jadlovsky, J., Jaelani, S., Jahnke, C., Jakubowska, M. J., Janik, M. 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2024
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84. Measurement of beauty-quark production in pp collisions at s = 13 TeV via non-prompt D mesons

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Acharya, S., Adamová, D., Agarwal, A., Aglieri Rinella, G., Aglietta, L., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Akishina, V., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Andronov, E., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Bala, R., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barreau, E., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Bazo Alba, J. L., Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, L. G. E., Beltran, Y. A. V., Bencedi, G., Bensaoula, A., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhat, M. A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buckland, M. 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2024
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85. Investigating strangeness enhancement with multiplicity in pp collisions using angular correlations

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Acharya, S., Adamová, D., Agarwal, A., Aglieri Rinella, G., Aglietta, L., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Akishina, V., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Alvarez, C. O. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Andronov, E., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Bala, R., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barbasova, V., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barreau, E., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Bazo Alba, J. L., Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, L. G. E., Beltran, Y. A. V., Bencedi, G., Bensaoula, A., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buchakchiev, V. D., Buckland, M. 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Q., Gonzalez, V., Gordeev, P., Gorgon, M., Goswami, K., Gotovac, S., Grabski, V., Graczykowski, L. K., Grecka, E., Grelli, A., Grigoras, C., Grigoriev, V., Grigoryan, S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Grund, D., Grunwald, N. A., Guardiano, G. G., Guernane, R., Guilbaud, M., Gulbrandsen, K., Gumprecht, J. J. W. K., Gündem, T., Gunji, T., Guo, W., Gupta, A., Gupta, R., Gupta, R., Gwizdziel, K., Gyulai, L., Hadjidakis, C., Haider, F. U., Haidlova, S., Haldar, M., Hamagaki, H., Hamdi, A., Han, Y., Hanley, B. G., Hannigan, R., Hansen, J., Haque, M. R., Harris, J. W., Harton, A., Hartung, M. V., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Hellbär, E., Helstrup, H., Hemmer, M., Herman, T., Hernandez, S. G., Herrera Corral, G., Herrmann, S., Hetland, K. F., Heybeck, B., Hillemanns, H., Hippolyte, B., Hoffmann, F. W., Hofman, B., Hong, G. H., Horst, M., Horzyk, A., Hou, Y., Hristov, P., Huhn, P., Huhta, L. M., Humanic, T. J., Hutson, A., Hutter, D., Hwang, M. 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2024
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86. Studying strangeness and baryon production mechanisms through angular correlations between charged Ξ baryons and identified hadrons in pp collisions at s = 13 TeV

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Acharya, S., Adamová, D., Adolfsson, J., Aglieri Rinella, G., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barbera, R., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Bazo Alba, J. L., Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, Y. A. V., Bencedi, G., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhat, M. A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Biernat, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Bogdanov, A., Boi, S., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buckland, M. 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R., Costa, F., Costanza, S., Cot, C., Crkovská, J., Crochet, P., Cruz-Torres, R., Cui, P., Dainese, A., Danisch, M. C., Danu, A., Das, P., Das, P., Das, S., Dash, A. R., Dash, S., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Martin, C., De Pasquale, S., Deb, R., Del Grande, R., Dello Stritto, L., Deng, W., Dhankher, P., Di Bari, D., Di Mauro, A., Diab, B., Diaz, R. A., Dietel, T., Ding, Y., Ditzel, J., Divià, R., Dixit, D. U., Djuvsland, Ø., Dmitrieva, U., Dobrin, A., Dönigus, B., Dubinski, J. M., Dubla, A., Dudi, S., Dupieux, P., Durkac, M., Dzalaiova, N., Eder, T. M., Ehlers, R. J., Eisenhut, F., Ejima, R., Elia, D., Erazmus, B., Ercolessi, F., Espagnon, B., Eulisse, G., Evans, D., Evdokimov, S., Fabbietti, L., Faggin, M., Faivre, J., Fan, F., Fan, W., Fantoni, A., Fasel, M., Feliciello, A., Feofilov, G., Fernández Téllez, A., Ferrandi, L., Ferrer, M. B., Ferrero, A., Ferrero, C., Ferretti, A., Feuillard, V. J. G., Filova, V., Finogeev, D., Fionda, F. M., Flatland, E., Flor, F., Flores, A. N., Foertsch, S., Fokin, I., Fokin, S., Fragiacomo, E., Frajna, E., Fuchs, U., Funicello, N., Furget, C., Furs, A., Fusayasu, T., Gaardhøje, J. J., Gagliardi, M., Gago, A. M., Gahlaut, T., Galvan, C. D., Gangadharan, D. R., Ganoti, P., Garabatos, C., García Chávez, T., Garcia-Solis, E., Gargiulo, C., Gasik, P., Gautam, A., Gay Ducati, M. B., Germain, M., Ghimouz, A., Ghosh, C., Giacalone, M., Gioachin, G., Giubellino, P., Giubilato, P., Glaenzer, A. M. C., Glässel, P., Glimos, E., Goh, D. J. Q., Gonzalez, V., Gordeev, P., Gorgon, M., Goswami, K., Gotovac, S., Grabski, V., Graczykowski, L. K., Grecka, E., Grelli, A., Grigoras, C., Grigoriev, V., Grigoryan, S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Grund, D., Grunwald, N. A., Guardiano, G. G., Guernane, R., Guilbaud, M., Gulbrandsen, K., Gündem, T., Gunji, T., Guo, W., Gupta, A., Gupta, R., Gupta, R., Gwizdziel, K., Gyulai, L., Hadjidakis, C., Haider, F. U., Haidlova, S., Hamagaki, H., Hamdi, A., Han, Y., Hanley, B. G., Hannigan, R., Hansen, J., Haque, M. R., Harris, J. W., Harton, A., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Heckel, S. T., Hellbär, E., Helstrup, H., Hemmer, M., Herman, T., Herrera Corral, G., Herrmann, F., Herrmann, S., Hetland, K. F., Heybeck, B., Hillemanns, H., Hippolyte, B., Hoffmann, F. W., Hofman, B., Hong, G. H., Horst, M., Horzyk, A., Hou, Y., Hristov, P., Hughes, C., Huhn, P., Huhta, L. M., Humanic, T. J., Hutson, A., Hutter, D., Ilkaev, R., Ilyas, H., Inaba, M., Innocenti, G. M., Ippolitov, M., Isakov, A., Isidori, T., Islam, M. S., Ivanov, M., Ivanov, M., Ivanov, V., Iversen, K. E., Jablonski, M., Jacak, B., Jacazio, N., Jacobs, P. M., Jadlovska, S., Jadlovsky, J., Jaelani, S., Jahnke, C., Jakubowska, M. J., Janik, M. A., Janson, T., Ji, S., Jia, S., Jimenez, A. A. P., Jonas, F., Jones, D. M., Jowett, J. M., Jung, J., Jung, M., Junique, A., Jusko, A., Kaewjai, J., Kalinak, P., Kalteyer, A. S., Kalweit, A., Kaplin, V., Karasu Uysal, A., Karatovic, D., Karavichev, O., Karavicheva, T., Karczmarczyk, P., Karpechev, E., Karwowska, M. J., Kebschull, U., Keidel, R., Keijdener, D. L. D., Keil, M., Ketzer, B., Khade, S. S., Khan, A. M., Khan, S., Khanzadeev, A., Kharlov, Y., Khatun, A., Khuntia, A., Kileng, B., Kim, B., Kim, C., Kim, D. J., Kim, E. J., Kim, J., Kim, J. S., Kim, J., Kim, J., Kim, M., Kim, S., Kim, T., Kimura, K., Kirsch, S., Kisel, I., Kiselev, S., Kisiel, A., Kitowski, J. P., Klay, J. L., Klein, J., Klein, S., Klein-Bösing, C., Kleiner, M., Klemenz, T., Kluge, A., Knospe, A. G., Kobdaj, C., Kollegger, T., Kondratyev, A., Kondratyeva, N., Kondratyuk, E., Konig, J., Konigstorfer, S. A., Konopka, P. J., Kornakov, G., Korwieser, M., Koryciak, S. D., Kotliarov, A., Kovalenko, V., Kowalski, M., Kozhuharov, V., Králik, I., Kravčáková, A., Krcal, L., Krivda, M., Krizek, F., Krizkova Gajdosova, K., Kroesen, M., Krüger, M., Krupova, D. M., Kryshen, E., Kučera, V., Kuhn, C., Kuijer, P. G., Kumaoka, T., Kumar, D., Kumar, L., Kumar, N., Kumar, S., Kundu, S., Kurashvili, P., Kurepin, A., Kurepin, A. B., Kuryakin, A., Kushpil, S., Kuskov, V., Kweon, M. J., Kwon, Y., La Pointe, S. L., La Rocca, P., Lakrathok, A., Lamanna, M., Landou, A. R., Langoy, R., Larionov, P., Laudi, E., Lautner, L., Lavicka, R., Lea, R., Lee, H., Legrand, I., Legras, G., Lehrbach, J., Lelek, T. M., Lemmon, R. C., León Monzón, I., Lesch, M. M., Lesser, E. D., Lévai, P., Li, X., Lien, J., Lietava, R., Likmeta, I., Lim, B., Lim, S. H., Lindenstruth, V., Lindner, A., Lippmann, C., Liu, D. H., Liu, J., Liveraro, G. S. S., Lofnes, I. M., Loizides, C., Lokos, S., Lömker, J., Loncar, P., Lopez, X., López Torres, E., Lu, P., Lugo, F. V., Luhder, J. R., Lunardon, M., Luparello, G., Ma, Y. G., Mager, M., Maire, A., Majerz, E. M., Makariev, M. V., Malaev, M., Malfattore, G., Malik, N. M., Malik, Q. W., Malik, S. K., Malinina, L., Mallick, D., Mallick, N., Mandaglio, G., Mandal, S. K., Manko, V., Manso, F., Manzari, V., Mao, Y., Marcjan, R. W., Margagliotti, G. V., Margotti, A., Marín, A., Markert, C., Martinengo, P., Martínez, M. I., Martínez García, G., Martins, M. P. P., Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Massen, O., Mastroserio, A., Matonoha, O., Mattiazzo, S., Matyja, A., Mayer, C., Mazuecos, A. L., Mazzaschi, F., Mazzilli, M., Mdhluli, J. E., Melikyan, Y., Menchaca-Rocha, A., Mendez, J. E. M., Meninno, E., Menon, A. S., Meres, M., Mhlanga, S., Miake, Y., Micheletti, L., Mihaylov, D. L., Mikhaylov, K., Mishra, A. N., Miśkowiec, D., Modak, A., Mohanty, B., Mohisin Khan, M., Molander, M. A., Monira, S., Mordasini, C., Moreira De Godoy, D. A., Morozov, I., Morsch, A., Mrnjavac, T., Muccifora, V., Muhuri, S., Mulligan, J. D., Mulliri, A., Munhoz, M. G., Munzer, R. H., Murakami, H., Murray, S., Musa, L., Musinsky, J., Myrcha, J. W., Naik, B., Nambrath, A. I., Nandi, B. K., Nania, R., Nappi, E., Nassirpour, A. F., Nath, A., Nattrass, C., Naydenov, M. N., Neagu, A., Negru, A., Nekrasova, E., Nellen, L., Nepeivoda, R., Nese, S., Neskovic, G., Nicassio, N., Nielsen, B. S., Nielsen, E. G., Nikolaev, S., Nikulin, S., Nikulin, V., Noferini, F., Noh, S., Nomokonov, P., Norman, J., Novitzky, N., Nowakowski, P., Nyanin, A., Nystrand, J., Ogino, M., Oh, S., Ohlson, A., Okorokov, V. A., Oleniacz, J., Oliveira Da Silva, A. C., Onnerstad, A., Oppedisano, C., Ortiz Velasquez, A., Otwinowski, J., Oya, M., Oyama, K., Pachmayer, Y., Padhan, S., Pagano, D., Paić, G., Paisano-Guzmán, S., Palasciano, A., Panebianco, S., Park, H., Park, H., Park, J., Parkkila, J. E., Patley, Y., Patra, R. N., Paul, B., Pei, H., Peitzmann, T., Peng, X., Pennisi, M., Perciballi, S., Peresunko, D., Perez, G. M., Pestov, Y., Petrov, V., Petrovici, M., Pezzi, R. P., Piano, S., Pikna, M., Pillot, P., Pinazza, O., Pinsky, L., Pinto, C., Pisano, S., Płoskoń, M., Planinic, M., Pliquett, F., Poghosyan, M. G., Polichtchouk, B., Politano, S., Poljak, N., Pop, A., Porteboeuf-Houssais, S., Pozdniakov, V., Pozos, I. Y., Pradhan, K. K., Prasad, S. K., Prasad, S., Preghenella, R., Prino, F., Pruneau, C. A., Pshenichnov, I., Puccio, M., Pucillo, S., Pugelova, Z., Qiu, S., Quaglia, L., Ragoni, S., Rai, A., Rakotozafindrabe, A., Ramello, L., Rami, F., Rancien, T. A., Rasa, M., Räsänen, S. S., Rath, R., Rauch, M. P., Ravasenga, I., Read, K. F., Reckziegel, C., Redelbach, A. R., Redlich, K., Reetz, C. A., Regules-Medel, H. D., Rehman, A., Reidt, F., Reme-Ness, H. A., Rescakova, Z., Reygers, K., Riabov, A., Riabov, V., Ricci, R., Richter, M., Riedel, A. A., Riegler, W., Riffero, A. G., Ristea, C., Rodriguez, M. V., Rodríguez Cahuantzi, M., Rodríguez Ramírez, S. A., Røed, K., Rogalev, R., Rogochaya, E., Rogoschinski, T. S., Rohr, D., Röhrich, D., Rojas, P. F., Rojas Torres, S., Rokita, P. S., Romanenko, G., Ronchetti, F., Rosano, A., Rosas, E. D., Roslon, K., Rossi, A., Roy, A., Roy, S., Rubini, N., Ruggiano, D., Rui, R., Russek, P. G., Russo, R., Rustamov, A., Ryabinkin, E., Ryabov, Y., Rybicki, A., Rytkonen, H., Ryu, J., Rzesa, W., Saarimaki, O. A. M., Sadhu, S., Sadovsky, S., Saetre, J., Šafařík, K., Saha, P., Saha, S. K., Saha, S., Sahoo, B., Sahoo, B., Sahoo, R., Sahoo, S., Sahu, D., Sahu, P. K., Saini, J., Sajdakova, K., Sakai, S., Salvan, M. P., Sambyal, S., Samitz, D., Sanna, I., Saramela, T. B., Sarma, P., Sarritzu, V., Sarti, V. M., Sas, M. H. P., Sawan, S., Schambach, J., Scheid, H. S., Schiaua, C., Schicker, R., Schlepper, F., Schmah, A., Schmidt, C., Schmidt, H. R., Schmidt, M. O., Schmidt, M., Schmidt, N. V., Schmier, A. R., Schotter, R., Schröter, A., Schukraft, J., Schweda, K., Scioli, G., Scomparin, E., Seger, J. E., Sekiguchi, Y., Sekihata, D., Selina, M., Selyuzhenkov, I., Senyukov, S., Seo, J. J., Serebryakov, D., Šerkšnytė, L., Sevcenco, A., Shaba, T. J., Shabetai, A., Shahoyan, R., Shangaraev, A., Sharma, A., Sharma, B., Sharma, D., Sharma, H., Sharma, M., Sharma, S., Sharma, S., Sharma, U., Shatat, A., Sheibani, O., Shigaki, K., Shimomura, M., Shin, J., Shirinkin, S., Shou, Q., Sibiriak, Y., Siddhanta, S., Siemiarczuk, T., Silva, T. F., Silvermyr, D., Simantathammakul, T., Simeonov, R., Singh, B., Singh, B., Singh, K., Singh, R., Singh, R., Singh, R., Singh, S., Singh, V. K., Singhal, V., Sinha, T., Sitar, B., Sitta, M., Skaali, T. B., Skorodumovs, G., Slupecki, M., Smirnov, N., Snellings, R. J. M., Solheim, E. H., Song, J., Sonnabend, C., Soramel, F., Soto-hernandez, A. B., Spijkers, R., Sputowska, I., Staa, J., Stachel, J., Stan, I., Steffanic, P. J., Stiefelmaier, S. F., Stocco, D., Storehaug, I., Stratmann, P., Strazzi, S., Sturniolo, A., Stylianidis, C. P., Suaide, A. A. P., Suire, C., Sukhanov, M., Suljic, M., Sultanov, R., Sumberia, V., Sumowidagdo, S., Swain, S., Szarka, I., Szymkowski, M., Taghavi, S. F., Taillepied, G., Takahashi, J., Tambave, G. J., Tang, S., Tang, Z., Tapia Takaki, J. D., Tapus, N., Tarasovicova, L. A., Tarzila, M. G., Tassielli, G. F., Tauro, A., Tavira García, A., Tejeda Muñoz, G., Telesca, A., Terlizzi, L., Terrevoli, C., Thakur, S., Thomas, D., Tikhonov, A., Tiltmann, N., Timmins, A. R., Tkacik, M., Tkacik, T., Toia, A., Tokumoto, R., Tomohiro, K., Topilskaya, N., Toppi, M., Tork, T., Torres, V. V., Torres Ramos, A. G., Trifiró, A., Triolo, A. S., Tripathy, S., Tripathy, T., Trogolo, S., Trubnikov, V., Trzaska, W. H., Trzcinski, T. P., Tumkin, A., Turrisi, R., Tveter, T. S., Ullaland, K., Ulukutlu, B., Uras, A., Usai, G. L., Vala, M., Valle, N., van Doremalen, L. V. R., van Leeuwen, M., van Veen, C. A., van Weelden, R. J. G., Vande Vyvre, P., Varga, D., Varga, Z., Vargas Torres, P., Vasileiou, M., Vasiliev, A., Vázquez Doce, O., Vazquez Rueda, O., Vechernin, V., Vercellin, E., Vergara Limón, S., Verma, R., Vermunt, L., Vértesi, R., Verweij, M., Vickovic, L., Vilakazi, Z., Villalobos Baillie, O., Villani, A., Vinogradov, A., Virgili, T., Virta, M. M. O., Vislavicius, V., Vodopyanov, A., Volkel, B., Völkl, M. A., Voloshin, K., Voloshin, S. A., Volpe, G., von Haller, B., Vorobyev, I., Vozniuk, N., Vrláková, J., Wan, J., Wang, C., Wang, D., Wang, Y., Wang, Y., Wegrzynek, A., Weiglhofer, F. T., Wenzel, S. C., Wessels, J. P., Wiechula, J., Wikne, J., Wilk, G., Wilkinson, J., Willems, G. A., Windelband, B., Winn, M., Wright, J. R., Wu, W., Wu, Y., Xu, R., Yadav, A., Yadav, A. K., Yalcin, S., Yamaguchi, Y., Yang, S., Yano, S., Yin, Z., Yoo, I.-K., Yoon, J. H., Yu, H., Yuan, S., Yuncu, A., Zaccolo, V., Zampolli, C., Zanone, F., Zardoshti, N., Zarochentsev, A., Závada, P., Zaviyalov, N., Zhalov, M., Zhang, B., Zhang, C., Zhang, L., Zhang, M., Zhang, S., Zhang, X., Zhang, Y., Zhang, Z., Zhao, M., Zherebchevskii, V., Zhi, Y., Zhou, D., Zhou, Y., Zhu, J., Zhu, Y., Zugravel, S. C., and Zurlo, N.

Published
2024
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87. Giant piezoelectricity driven by Thouless pump in conjugated polymers

Author

Villani, Stefano Paolo, Campetella, Marco, Barone, Paolo, and Mauri, Francesco

Subjects
Condensed Matter - Materials Science
Abstract

Piezoelectricity of organic polymers has attracted increasing interest because of several advantages they exhibit over traditional inorganic ceramics. While most organic piezoelectrics rely on the presence of intrinsic local dipoles, a highly nonlocal electronic polarization can be foreseen in conjugated polymers, characterised by delocalized and highly responsive ${\pi}$-electrons. These 1D systems represent a physical realization of a Thouless pump, a mechanism of adiabatic charge transport of topological nature which results, as shown in this work, in anomalously large dynamical effective charges, inversely proportional to the band gap energy. A structural (ferroelectric) phase transition further contributes to an enhancement of the piezoelectric response reminiscent of that observed in piezoelectric perovskites close to morphotropic phase boundaries. First-principles Density Functional Theory (DFT) calculations performed in two representative conjugated polymers using hybrid functionals, show that state-of-the-art organic piezoelectric are outperformed by piezoelectric conjugated polymers, mostly thanks to strongly anomalous effective charges of carbon, larger than 5e - ordinary values being of the order of 1e - and reaching the giant value of 30e for band gaps of the order of 1 eV., Comment: 23 pages, 12 figures

Published
2023

89. Particle monitoring capability of the Solar Orbiter Metis coronagraph through the increasing phase of solar cycle 25

Author

Grimani, Catia, Andretta, Vincenzo, Antonucci, Ester, Chioetto, Paolo, Da Deppo, Vania, Fabi, Michele, Gissot, Samuel, Jerse, Giovanna, Messerotti, Mauro, Naletto, Giampiero, Pancrazzi, Maurizio, Persici, Andrea, Plainaki, Christina, Romoli, Marco, Sabbatini, Federico, Spadaro, Daniele, Stangalini, Marco, Telloni, Daniele, Teriaca, Luca, Uslenghi, Michela, Villani, Mattia, Abbo, Lucia, Burtovoi, Aleksandr, Frassati, Federica, Landini, Federico, Nicolini, Giana, Russano, Giuliana, Sasso, Clementina, and Susino, Roberto

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment, Physics - Space Physics
Abstract

Context. Galactic cosmic rays (GCRs) and solar particles with energies greater than tens of MeV penetrate spacecraft and instruments hosted aboard space missions. The Solar Orbiter Metis coronagraph is aimed at observing the solar corona in both visible (VL) and ultraviolet (UV) light. Particle tracks are observed in the Metis images of the corona. An algorithm has been implemented in the Metis processing electronics to detect the VL image pixels crossed by cosmic rays. This algorithm was initially enabled for the VL instrument only, since the process of separating the particle tracks in the UV images has proven to be very challenging. Aims. We study the impact of the overall bulk of particles of galactic and solar origin on the Metis coronagraph images. We discuss the effects of the increasing solar activity after the Solar Orbiter mission launch on the secondary particle production in the spacecraft. Methods. We compared Monte Carlo simulations of GCRs crossing or interacting in the Metis VL CMOS sensor to observations gathered in 2020 and 2022. We also evaluated the impact of solar energetic particle events of different intensities on the Metis images. Results. The study of the role of abundant and rare cosmic rays in firing pixels in the Metis VL images of the corona allows us to estimate the efficiency of the algorithm applied for cosmic-ray track removal from the images and to demonstrate that the instrument performance had remained unchanged during the first two years of the Solar Orbiter operations. The outcome of this work can be used to estimate the Solar Orbiter instrument's deep charging and the order of magnitude for energetic particles crossing the images of Metis and other instruments such as STIX and EUI., Comment: 8 pages, 6 figures

Published
2023
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90. A Mixed Reality System for Interaction with Heterogeneous Robotic Systems

Author

Villani, Valeria, Capelli, Beatrice, and Sabattini, Lorenzo

Subjects
Computer Science - Robotics
Abstract

The growing spread of robots for service and industrial purposes calls for versatile, intuitive and portable interaction approaches. In particular, in industrial environments, operators should be able to interact with robots in a fast, effective, and possibly effortless manner. To this end, reality enhancement techniques have been used to achieve efficient management and simplify interactions, in particular in manufacturing and logistics processes. Building upon this, in this paper we propose a system based on mixed reality that allows a ubiquitous interface for heterogeneous robotic systems in dynamic scenarios, where users are involved in different tasks and need to interact with different robots. By means of mixed reality, users can interact with a robot through manipulation of its virtual replica, which is always colocated with the user and is extracted when interaction is needed. The system has been tested in a simulated intralogistics setting, where different robots are present and require sporadic intervention by human operators, who are involved in other tasks. In our setting we consider the presence of drones and AGVs with different levels of autonomy, calling for different user interventions. The proposed approach has been validated in virtual reality, considering quantitative and qualitative assessment of performance and user's feedback., Comment: Proceedings of the IEEE International Conference on Systems Man and Cybernetics 2023

Published
2023

91. Any Deep ReLU Network is Shallow

Author

Villani, Mattia Jacopo and Schoots, Nandi

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

We constructively prove that every deep ReLU network can be rewritten as a functionally identical three-layer network with weights valued in the extended reals. Based on this proof, we provide an algorithm that, given a deep ReLU network, finds the explicit weights of the corresponding shallow network. The resulting shallow network is transparent and used to generate explanations of the model s behaviour., Comment: 12 pages including bibliography and appendix

Published
2023

92. Epidemiology and natural history of NAFLD

Author

Della Corte Claudia, Ferrari Federica, Villani Alberto, and Nobili Valerio

Subjects
nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, children, obesity, metabolic syndrome, Biochemistry, QD415-436
Abstract

Paralleling the growing prevalence of obesity and metabolic syndrome, nonalcoholic fatty liver disease (NAFLD) is emerging as the most frequent hepatopathy in adults and children. The true prevalence of pediatric NAFLD is still unknown, because of the heterogeneity of diagnostic methods used for diagnosis in the available studies and the different characteristics of the populations evaluated. Pediatric NAFLD is typically of primary origin and it is strongly associated with several features of the metabolic syndrome. Age, gender and race/ethnicity are significant determinants of risk, and sex hormones, insulin sensitivity and adipocytokines are implicated in the pathogenesis of pediatric NAFLD. The natural history of NAFLD in children is still poorly understood, because of its complex nature and the scarcity of prospective studies, especially in pediatric populations. Both genetic and environmental factors seem to be implicated in the development and progression of the disease via multiple mechanisms that involve liver crosstalk with other organs and tissues, especially gut and adipose tissue. To evaluate and effectively treat pediatric NAFLD, the pathophysiology and natural history of the disease should be clarified and noninvasive methods for screening, diagnosis, and longitudinal assessment developed.

Published
2015

93. Les initiatives commerciales de bioraffinage en Région wallonne (Belgique) : production de biocarburants et voies de valorisation connexes (synthèse bibliographique)

Author

Jacquet, N., Desquay, L., Jadot, B., Kenne, T., Villani, N., Maniet, G., Bombeck, PL., Gillet, S., and Richel, A.

Subjects
Biofuels, purification, diversification, Belgium, Biotechnology, TP248.13-248.65, Environmental sciences, GE1-350
Abstract

Commercial biorefining initiatives in Wallonia: production of biofuels and related valorization routes. A review. Introduction. Biorefining is gaining increasing interest in Wallonia as a complement to the conventional petrochemical industry. Biorefineries are categorized according to the nature of the raw materials they treat (food or non-food) and the nature of their products (energy and biofuels or biobased compounds). Literature. Production of first-generation (bioethanol and biodiesel) and second-generation biofuels are described, as well as their parallel valorization pathways. A description of the Belgian biobased industry is also provided. Conclusions. Diversification of supply chains, as well as the need to promote a circular economy, is becoming a priority for the development of biorefining in Wallonia.

Published
2015

95. The Properties of Pseudo-Attractors in Random Boolean Networks

Author

Villani, Marco, Balugani, Matteo, Serra, Roberto, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Villani, Marco, editor, Cagnoni, Stefano, editor, and Serra, Roberto, editor

Published
2024
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