123,368 results on '"de Jesus A"'
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2. Designing and Static Performance Testing of Auger Type Fertilizer Metering Device with PID Control
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Azis Abdul, Rumaropen Gayus, and de Jesus Arcanjo
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Microbiology ,QR1-502 ,Physiology ,QP1-981 ,Zoology ,QL1-991 - Abstract
The rapid development of technology has brought a positive impact on the agricultural sector, primarily through the concept of precision agriculture. Precision fertilization is critical to improving agricultural quality and productivity by adapting the right actions to the right place at the right Time according to land variability. One approach that is considered successful is fertilization based on nutrient adequacy levels, which can provide optimal fertilization recommendations. The purpose of this study is to obtain an auger-type variable rate mating device that can control the dose of granular fertilizer. The results showed that the variable rate metering device auger type that had been tested could work quite well in controlling the dose of granular fertilizer. This can be seen from the static calibration of the auger-type metering device producing a linear correlation of each motor with a correlation equation y = 0.0041x – 0.025 with a coefficient of determination R2 = 0.9543 and the results of testing stair step response and step response both without fertilizer and with fertilizer show that the system can follow the set point commands given.
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- 2024
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3. Exploiting the Variational Quantum Eigensolver for Determining Ground State Energy of Protocatechuic Acid
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de Jesus, Gleydson Fernandes, Teixeira, Erico Souza, Galvão, Lucas Queiroz, da Silva, Maria Heloísa Fraga, Neto, Mauro Queiroz Nooblath, Fernandez, Bruno Oziel, and Cruz, Clebson dos Santos
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Physics - Chemical Physics ,Condensed Matter - Materials Science ,Quantum Physics - Abstract
The Variational Quantum Eigensolver (VQE) is a promising hybrid algorithm, utilizing both quantum and classical computers to obtain the ground state energy of molecules. In this context, this study applies VQE to investigate the ground state of protocatechuic acid, analyzing its performance with various Ans\"atze and active spaces. Subsequently, all VQE results were compared to those obtained with the Hartree-Fock (HF) method. The results demonstrate that Ans\"atze, like unitary coupled-cluster singles and doubles (UCCSD) and variations of Hardware-Efficient, generally achieve accuracy close to that of HF. Furthermore, the increase in active space has led to the models becoming more difficult to converge to values with a greater distance from the correct energy. In summary, the findings of this study reinforce the use of VQE as a powerful tool for analyzing molecular ground state energies. Finally, the results underscore the critical importance of Ansatz selection and active space size in VQE performance, providing valuable insights into its potential and limitations., Comment: 10 pages, 6 figures, 1 table
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- 2024
4. Partially hyperbolic geodesic flow via conformal deformation
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de Jesus, Ygor, Piñeyrúa, Luis Pedro, and Romaña, Sergio
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Mathematics - Dynamical Systems ,Mathematics - Differential Geometry - Abstract
This paper presents a new construction of non-Anosov Partially Hyperbolic Geodesic flows. Our construction is closely related to the construction made by Carneiro and Pujals, the novelty is the use of conformal deformations to produce the examples. Some of the necessary conditions appear more naturally and are easier to check. Besides that, we could enumerate the conditions required to produce partially hyperbolic geodesic flow examples. We show how to produce examples with metrics that are non-positively curved and with a finner analysis we can prove ergodicity for the Liouville measure and uniqueness of the measure of maximal entropy. These examples lie on the boundary of Anosov metrics, allowing us to also produce metrics with partially hyperbolic geodesic flows and conjugate points., Comment: 34 pages
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- 2024
5. Exploring Quantum Neural Networks for Demand Forecasting
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de Jesus, Gleydson Fernandes, da Silva, Maria Heloísa Fraga, Pires, Otto Menegasso, da Silva, Lucas Cruz, Cruz, Clebson dos Santos, and da Silva, Valéria Loureiro
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Quantum Physics ,Computer Science - Emerging Technologies ,Computer Science - Machine Learning - Abstract
Forecasting demand for assets and services can be addressed in various markets, providing a competitive advantage when the predictive models used demonstrate high accuracy. However, the training of machine learning models incurs high computational costs, which may limit the training of prediction models based on available computational capacity. In this context, this paper presents an approach for training demand prediction models using quantum neural networks. For this purpose, a quantum neural network was used to forecast demand for vehicle financing. A classical recurrent neural network was used to compare the results, and they show a similar predictive capacity between the classical and quantum models, with the advantage of using a lower number of training parameters and also converging in fewer steps. Utilizing quantum computing techniques offers a promising solution to overcome the limitations of traditional machine learning approaches in training predictive models for complex market dynamics., Comment: 22 pages, 13 figures, 10 tables
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- 2024
6. Update of the Brazilian Participation in the Next-Generation Collider Experiments
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Júnior, W. L. Aldá, Alves, G. A., Amarilo, K. M., Filho, M. Barroso Ferreira, Bernardes, C. A., da Costa, E. M., da Graça, U. de Freitas Carneiro, Damião, D. de Jesus, Fonseca, S. de Souza, Mendes, L. M. Domingues, Donadelli, M., da Silveira, G. Gil, Hensel, C., Jahnke, C., Malbouisson, H., Marin, J . L., Martins, D. E., Massafferri, A., Herrera, C. Mora, Nasteva, I., de Souza, E. E. Purcino, Queiroz, F. S., Rangel, M., Teles, P. Rebello, Thiel, M., Tomei, T. R. F. P., and Pereira, A. Vilela
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High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
This proposal outlines the future plans of the Brazilian High-Energy Physics (HEP) community for upcoming collider experiments. With the construction of new particle colliders on the horizon and the ongoing operation of the High-Luminosity LHC, several research groups in Brazil have put forward technical proposals, covering both hardware and software contributions, as part of the Brazilian contribution to the global effort. The primary goal remains to foster a unified effort within the Brazilian HEP community, optimizing resources and expertise to deliver a high-impact contribution to the international HEP community., Comment: 24 pages, submitted to the Latin American Strategy Forum for Research Infrastructure
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- 2024
7. Non-parametric reconstruction of cosmological observables using Gaussian Processes Regression
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Velázquez, José de Jesús, Escamilla, Luis A., Mukherjee, Purba, and Vázquez, J. Alberto
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
The current accelerated expansion of the Universe remains ones of the most intriguing topics in modern cosmology, driving the search for innovative statistical techniques. Recent advancements in machine learning have significantly enhanced its application across various scientific fields, including physics, and particularly cosmology, where data analysis plays a crucial role in problem-solving. In this work, a non-parametric regression method with Gaussian processes is presented along with several applications to reconstruct some cosmological observables, such as the deceleration parameter and the dark energy equation of state, in order to contribute with some information that helps to clarify the behavior of the Universe. It was found that the results are consistent with $\Lambda$CDM and the predicted value of the Hubble parameter at redshift zero is $H_{0}=68.798\pm 6.340(1\sigma) \text{ km}\text{ Mpc}^{-1} \text{ s}^{-1}$., Comment: 17 pages, 18 figures
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- 2024
8. GUARDIANS of the HORIZON
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Duenas-Garcia, Manuel de Jesus and Trejo, Arturo
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West Mexico archaeology ,Violence ,GIS - Abstract
This comic is based on the article "Evaluating settlement defensibility during the Late Classic: A geospatial approach to the study of conflict in ancient Aguascalientes, Mexico," by Manuel de Jesús Dueñas-García, Miriam Selene Campos-Martínez, and Nicola Lercari, published in the Journal of Conflict Archaeology, vol. 17, no. 2, 2022, pp. 155-183. https://doi.org/10.1080/15740773.2022.2124143.The study of conflict and warfare in the Northern Frontier of Mesoamerica during the Late Classic period (500–900 CE) has long been shaped by colonial narratives and incomplete archaeological records. This article introduces a novel geospatial analytical framework to better understand conflict in ancient West Mexico. We present the results of a UAV-based aerial survey at Cerro de en medio, Aguascalientes, and, using GIS methodologies, analyze the site's defensiveness and the spectrum of conflict, ranging from sporadic raids by small groups to inter-polity or interregional warfare. Our findings suggest that visual control was not a primary concern at the site. Instead, its concealed location and features suitable for sustaining small-scale conflict indicate that Cerro de en medio functioned more as a refuge than a fortress. These results challenge earlier interpretations, suggesting that conflict in the region may have been sporadic or seasonal, and emphasize the need for further investigation.
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- 2024
9. The Hubble Tension: Relativistic Dark Matter Production from Long-lived Particles
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de Jesus, Alvaro S., Paixão, Matheus M. A., da Silva, Dêivid R., Queiroz, Farinaldo S., and Pinto-Neto, Nelson
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High Energy Physics - Phenomenology ,Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena ,General Relativity and Quantum Cosmology - Abstract
The tension between direct measurements of the Hubble constant and those stemming from Cosmic Microwave Background probes has triggered a multitude of studies. The connection between cosmology and particle physics has shown to be a valuable approach to addressing the Hubble tension. In particular, increasing the number of relativistic degrees of freedom in the early universe helps alleviate the problem. In this work, we write down effective field theory describing relativistic dark matter production in association with neutrinos leading to a larger $H_0$. We derive limits on the effective energy scale that governs this relativistic production of dark matter as a function of the dark matter mass for fermion, vector, and scalar dark matter fields. In particular, scalar dark matter particles are more effective in increasing the effective number of relativistic species. Also, if they have weak scale masses, then the relativistic production of dark matter should be governed by Planck scale effective operators in order to alleviate the Hubble tension., Comment: 9 pages, 8 figures
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- 2024
10. A strong large deviation principle for the empirical measure of random walks
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Erhard, Dirk, Franco, Tertuliano, and Santana, Joedson de Jesus
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Mathematics - Probability ,60F10, 60J27, 60B05 - Abstract
In this article we show that the empirical measure of certain continuous time random walks satisfies a strong large deviation principle with respect to a topology introduced in~\cite{MV2016} by Mukherjee and Varadhan. This topology is natural in models which exhibit an invariance with respect to spatial translations. Our result applies in particular to the case of simple random walk and complements the results obtained in~\cite{MV2016} in which the large deviation principle has been established for the empirical measure of Brownian motion., Comment: 20 pages
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- 2024
11. Robotics for Inclusive Education: Combining Active Methodologies in a Classroom
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Silvino Antonio Castañeda Rincón, Hayarelis Coromoto Moreno Gudiño, and Richard de Jesus Gil Herrera
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In light of the growing diversity of students in the classroom, there is a pressing need to address the potential for discrimination against minorities, arising from cultural, socioeconomic, special needs, learning styles, and other differences. It is, therefore, essential to establish inclusive learning environments that guarantee equitable learning outcomes for all children and young people. This study aims to determine the impact of educational robotics (ER) in promoting emotional, cognitive, and social inclusion attributes through active methodologies among secondary students in public institutions. The applied methodology is composed of elements typical of active methodologies implemented in education and cited in the theoretical framework. The instruments employed to measure the classroom intervention process across various stages demonstrated a gradual improvement in the reference attributes of inclusive education. The findings suggest that ER can serve as a valuable tool for promoting inclusion in diversity contexts.
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- 2024
12. Experimental granulomatous amebic encephalitis caused by Acanthamoeba castellanii
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da Luz Borges, Samuel, da Silva de Macedo, Eberson, Vinagre da Silva, Felipe Alexandre, de Azevedo Ataide, Brenda Jaqueline, da Conceicao Fonseca Passos, Adelaide, de Souza Franco Mendes, Nivia, Soares de Moraes, Suellen Alessandra, Herculano Matos Oliveira, Karen Renata, Pacheco Bahia, Carlomagno, Herculano, Anderson Manoel, Santana Dolabella, Silvio, and de Jesus Oliveira Batista, Evander
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- 2024
13. First-Generation Queer and Trans Validation: Structural Relationships Examining Validating Agents, School Engagement, and College Enrollment
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Ángel de Jesus Gonzalez, Pearl Lo, Taylor Lewis, Danielle N. Aguilar, Jude Paul Matias Dizon, and Jason C. Garvey
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Emerging research suggests that first-generation queer and trans (QT) students experience disproportionate discrimination in schooling leading to disengagement early on in their educational trajectories. Although labeled as "at risk", first-generation QT students are actually more cognitively engaged in academics than their cisgender and heterosexual peers. Administrators, teachers, counselors, and guardians (validating agents) have an ethical responsibility to foster inclusive schooling contexts for first-generation QT students. This study examines how validating agents impact first-generation QT students' school engagement, high school GPA, and postsecondary enrollment. We posit a queer theorizing of the ecological validation model of student success and through principles of QuantCrit, we examine the High School Longitudinal Study of 2009 through a path analysis. Our results reveal that both talking to parents about college and high school GPA had a positive association with college enrollment for first-generation QT students. We provide recommendations for future research and practice that demand further exploration of first-generation QT students.
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- 2024
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14. Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots
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Kich, Victor Augusto, Kolling, Alisson Henrique, de Jesus, Junior Costa, Heisler, Gabriel V., Jacobs, Hiago, Bottega, Jair Augusto, Kelbouscas, André L. da S., Ohya, Akihisa, Grando, Ricardo Bedin, Drews-Jr, Paulo Lilles Jorge, and Gamarra, Daniel Fernando Tello
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Computer Science - Robotics - Abstract
This paper introduces novel deep reinforcement learning (Deep-RL) techniques using parallel distributional actor-critic networks for navigating terrestrial mobile robots. Our approaches use laser range findings, relative distance, and angle to the target to guide the robot. We trained agents in the Gazebo simulator and deployed them in real scenarios. Results show that parallel distributional Deep-RL algorithms enhance decision-making and outperform non-distributional and behavior-based approaches in navigation and spatial generalization., Comment: Paper accepted at the 24th International Conference on Control, Automation and Systems (ICCAS)
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- 2024
15. Large-scale cosmic ray anisotropies with 19 years of data from the Pierre Auger Observatory
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The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Ambrosone, A., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Bellido, J. A., Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Freitas, M., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Ghia, P. L., Giaccari, U., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kubatova, M., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lundquist, J. P., Payeras, A. Machado, Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Sampathkumar, P., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Weitz, M., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
Results are presented for the measurement of large-scale anisotropies in the arrival directions of ultra-high-energy cosmic rays detected at the Pierre Auger Observatory during 19 years of operation, prior to AugerPrime, the upgrade of the Observatory. The 3D dipole amplitude and direction are reconstructed above $4\,$EeV in four energy bins. Besides the established dipolar anisotropy in right ascension above $8\,$EeV, the Fourier amplitude of the $8$ to $16\,$EeV energy bin is now also above the $5\sigma$ discovery level. No time variation of the dipole moment above $8\,$EeV is found, setting an upper limit to the rate of change of such variations of $0.3\%$ per year at the $95\%$ confidence level. Additionally, the results for the angular power spectrum are shown, demonstrating no other statistically significant multipoles. The results for the equatorial dipole component down to $0.03\,$EeV are presented, using for the first time a data set obtained with a trigger that has been optimized for lower energies. Finally, model predictions are discussed and compared with observations, based on two source emission scenarios obtained in the combined fit of spectrum and composition above $0.6\,$EeV., Comment: Minor modifications, accepted for publication in Astrophysical Journal
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- 2024
16. Rydberg atom-based microwave electrometry using polarization spectroscopy
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Gomes, Naomy Duarte, Pepino, Vinicius Marrara, Borges, Ben-Hur Viana, Magalhães, Daniel Varela, Napolitano, Reginaldo de Jesus, Torres, Manuel Alejandro Lefrán, Kondo, Jorge Douglas Massayuki, and Marcassa, Luis Gustavo
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Physics - Atomic Physics - Abstract
In this study, we investigated Rydberg atom-based microwave electrometry using polarization spectroscopy in a room-temperature vapor cell. By measuring Autler-Townes splitting in the electromagnetically induced transparency (EIT) spectrum, we determined that the minimum measurable microwave electric field is approximately five times lower than conventional EIT techniques. The results are well reproduced by a full optical Bloch equation model, which takes into account all the hyperfine levels involved. Subsequently, the EIT setup was used to characterize a custom microwave cylindrical lens, which increases the field at the focus by a factor of three, decreasing the minimum measurable microwave electric field by the same amount. Our results indicate that the combination of polarization spectroscopy and a microwave lens may enhance microwave electrometry.
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- 2024
17. Data-driven Koopman operator predictions of turbulent dynamics in models of shear flows
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Constante-Amores, C. Ricardo, Fox, Andrew J., De Jesús, Carlos E. Pérez, and Graham, Michael D.
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Physics - Fluid Dynamics - Abstract
The Koopman operator enables the analysis of nonlinear dynamical systems through a linear perspective by describing time evolution in the infinite-dimensional space of observables. Here this formalism is applied to shear flows, specifically the minimal flow unit plane Couette flow and a nine-dimensional model of turbulent shear flow between infinite parallel free-slip walls under a sinusoidal body force (Moehlis et al., New J. Phys. 6, 56 (2004)). We identify a finite set of observables and approximate the Koopman operator using neural networks, following the method developed by Constante-Amores et al., Chaos, 34(4), 043119 (2024). Then the time evolution is determined with a method here denoted as "Projected Koopman Dynamics". Using a high-dimensional approximate Koopman operator directly for the plane Couette system is computationally infeasible due to the high state space dimension of direct numerical simulations (DNS). However, the long-term dynamics of the dissipative Navier-Stokes equations are expected to live on a lower-dimensional invariant manifold. Motivated by this fact, we perform dimension reduction on the DNS data with a variant of the IRMAE-WD (implicit rank-minimizing autoencoder-weight decay) autoencoder (Zeng et al., MLST 5(2), 025053 (2024)) before applying the Koopman approach. We compare the performance of data-driven state space (neural ordinary differential equation) and Projected Koopman Dynamics approaches in manifold coordinates for plane Couette flow. Projected Koopman Dynamics effectively captures the chaotic behavior of Couette flow and the nine-dimensional model, excelling in both short-term tracking and long-term statistical analysis, outperforming other frameworks applied to these shear flows.
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- 2024
18. The flux of ultra-high-energy cosmic rays along the supergalactic plane measured at the Pierre Auger Observatory
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The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Bellido, J. A., Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Johnsen, J. A., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
Ultra-high-energy cosmic rays are known to be mainly of extragalactic origin, and their propagation is limited by energy losses, so their arrival directions are expected to correlate with the large-scale structure of the local Universe. In this work, we investigate the possible presence of intermediate-scale excesses in the flux of the most energetic cosmic rays from the direction of the supergalactic plane region using events with energies above 20 EeV recorded with the surface detector array of the Pierre Auger Observatory up to 31 December 2022, with a total exposure of 135,000 km^2 sr yr. The strongest indication for an excess that we find, with a post-trial significance of 3.1{\sigma}, is in the Centaurus region, as in our previous reports, and it extends down to lower energies than previously studied. We do not find any strong hints of excesses from any other region of the supergalactic plane at the same angular scale. In particular, our results do not confirm the reports by the Telescope Array collaboration of excesses from two regions in the Northern Hemisphere at the edge of the field of view of the Pierre Auger Observatory. With a comparable exposure, our results in those regions are in good agreement with the expectations from an isotropic distribution., Comment: submitted to ApJ
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- 2024
19. Optimized Learning for X-Ray Image Classification for Multi-Class Disease Diagnoses with Accelerated Computing Strategies
- Author
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Romero, Sebastian A. Cruz, de Jesus, Ivanelyz Rivera, Quinones, Dariana J. Troche, and Gallego, Wilson Rivera
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
X-ray image-based disease diagnosis lies in ensuring the precision of identifying afflictions within the sample, a task fraught with challenges stemming from the occurrence of false positives and false negatives. False positives introduce the risk of erroneously identifying non-existent conditions, leading to misdiagnosis and a decline in patient care quality. Conversely, false negatives pose the threat of overlooking genuine abnormalities, potentially causing delays in treatment and interventions, thereby resulting in adverse patient outcomes. The urgency to overcome these challenges compels ongoing efforts to elevate the precision and reliability of X-ray image analysis algorithms within the computational framework. This study introduces modified pre-trained ResNet models tailored for multi-class disease diagnosis of X-ray images, incorporating advanced optimization strategies to reduce the execution runtime of training and inference tasks. The primary objective is to achieve tangible performance improvements through accelerated implementations of PyTorch, CUDA, Mixed- Precision Training, and Learning Rate Scheduler. While outcomes demonstrate substantial improvements in execution runtimes between normal training and CUDA-accelerated training, negligible differences emerge between various training optimization modalities. This research marks a significant advancement in optimizing computational approaches to reduce training execution time for larger models. Additionally, we explore the potential of effective parallel data processing using MPI4Py for the distribution of gradient descent optimization across multiple nodes and leverage multiprocessing to expedite data preprocessing for larger datasets., Comment: High Performance Computing course final term paper
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- 2024
20. Search for photons above 10$^{18}$ eV by simultaneously measuring the atmospheric depth and the muon content of air showers at the Pierre Auger Observatory
- Author
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The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., do, J. A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Johnsen, J. A., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.
- Subjects
Astrophysics - High Energy Astrophysical Phenomena - Abstract
The Pierre Auger Observatory is the most sensitive instrument to detect photons with energies above $10^{17}$ eV. It measures extensive air showers generated by ultra high energy cosmic rays using a hybrid technique that exploits the combination of a fluorescence detector with a ground array of particle detectors. The signatures of a photon-induced air shower are a larger atmospheric depth of the shower maximum ($X_{max}$) and a steeper lateral distribution function, along with a lower number of muons with respect to the bulk of hadron-induced cascades. In this work, a new analysis technique in the energy interval between 1 and 30 EeV (1 EeV = $10^{18}$ eV) has been developed by combining the fluorescence detector-based measurement of $X_{max}$ with the specific features of the surface detector signal through a parameter related to the air shower muon content, derived from the universality of the air shower development. No evidence of a statistically significant signal due to photon primaries was found using data collected in about 12 years of operation. Thus, upper bounds to the integral photon flux have been set using a detailed calculation of the detector exposure, in combination with a data-driven background estimation. The derived 95% confidence level upper limits are 0.0403, 0.01113, 0.0035, 0.0023, and 0.0021 km$^{-2}$ sr$^{-1}$ yr$^{-1}$ above 1, 2, 3, 5, and 10 EeV, respectively, leading to the most stringent upper limits on the photon flux in the EeV range. Compared with past results, the upper limits were improved by about 40% for the lowest energy threshold and by a factor 3 above 3 EeV, where no candidates were found and the expected background is negligible. The presented limits can be used to probe the assumptions on chemical composition of ultra-high energy cosmic rays and allow for the constraint of the mass and lifetime phase space of super-heavy dark matter particles., Comment: 19 pages, 22 figures
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- 2024
21. Text Information Retrieval in Tetun: A Preliminary Study
- Author
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de Jesus, Gabriel
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Computer Science - Information Retrieval - Abstract
Tetun is one of Timor-Leste's official languages alongside Portuguese. It is a low-resource language with over 932,400 speakers that started developing when Timor-Leste restored its independence in 2002. The media mainly uses Tetun, and more than ten national online newspapers actively broadcast news in Tetun every day. However, since information retrieval-based solutions for Tetun do not exist, finding Tetun information on the internet is challenging. This work aims to investigate and develop solutions that can enable the application of information retrieval techniques to develop search solutions for Tetun. We present a preliminary result of an experiment conducted on the task of ad-hoc retrieval in Tetun.
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- 2024
22. Exploring Large Language Models for Relevance Judgments in Tetun
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de Jesus, Gabriel and Nunes, Sérgio
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Computer Science - Information Retrieval - Abstract
The Cranfield paradigm has served as a foundational approach for developing test collections, with relevance judgments typically conducted by human assessors. However, the emergence of large language models (LLMs) has introduced new possibilities for automating these tasks. This paper explores the feasibility of using LLMs to automate relevance assessments, particularly within the context of low-resource languages. In our study, LLMs are employed to automate relevance judgment tasks, by providing a series of query-document pairs in Tetun as the input text. The models are tasked with assigning relevance scores to each pair, where these scores are then compared to those from human annotators to evaluate the inter-annotator agreement levels. Our investigation reveals results that align closely with those reported in studies of high-resource languages.
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- 2024
23. Measurement of the Depth of Maximum of Air-Shower Profiles with energies between $\mathbf{10^{18.5}}$ and $\mathbf{10^{20}}$ eV using the Surface Detector of the Pierre Auger Observatory and Deep Learning
- Author
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The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., do, J. A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Johnsen, J. A., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.
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Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
We report an investigation of the mass composition of cosmic rays with energies from 3 to 100 EeV (1 EeV=$10^{18}$ eV) using the distributions of the depth of shower maximum $X_\mathrm{max}$. The analysis relies on ${\sim}50,000$ events recorded by the Surface Detector of the Pierre Auger Observatory and a deep-learning-based reconstruction algorithm. Above energies of 5 EeV, the data set offers a 10-fold increase in statistics with respect to fluorescence measurements at the Observatory. After cross-calibration using the Fluorescence Detector, this enables the first measurement of the evolution of the mean and the standard deviation of the $X_\mathrm{max}$ distributions up to 100 EeV. Our findings are threefold: (1.) The evolution of the mean logarithmic mass towards a heavier composition with increasing energy can be confirmed and is extended to 100 EeV. (2.) The evolution of the fluctuations of $X_\mathrm{max}$ towards a heavier and purer composition with increasing energy can be confirmed with high statistics. We report a rather heavy composition and small fluctuations in $X_\mathrm{max}$ at the highest energies. (3.) We find indications for a characteristic structure beyond a constant change in the mean logarithmic mass, featuring three breaks that are observed in proximity to the ankle, instep, and suppression features in the energy spectrum., Comment: submitted to Phys. Rev. D, 28 pages, 18 figures, 5 tables
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- 2024
24. Inference of the Mass Composition of Cosmic Rays with energies from $\mathbf{10^{18.5}}$ to $\mathbf{10^{20}}$ eV using the Pierre Auger Observatory and Deep Learning
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The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., do, J. A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Johnsen, J. A., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.
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Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
We present measurements of the atmospheric depth of the shower maximum $X_\mathrm{max}$, inferred for the first time on an event-by-event level using the Surface Detector of the Pierre Auger Observatory. Using deep learning, we were able to extend measurements of the $X_\mathrm{max}$ distributions up to energies of 100 EeV ($10^{20}$ eV), not yet revealed by current measurements, providing new insights into the mass composition of cosmic rays at extreme energies. Gaining a 10-fold increase in statistics compared to the Fluorescence Detector data, we find evidence that the rate of change of the average $X_\mathrm{max}$ with the logarithm of energy features three breaks at $6.5\pm0.6~(\mathrm{stat})\pm1~(\mathrm{sys})$ EeV, $11\pm 2~(\mathrm{stat})\pm1~(\mathrm{sys})$ EeV, and $31\pm5~(\mathrm{stat})\pm3~(\mathrm{sys})$ EeV, in the vicinity to the three prominent features (ankle, instep, suppression) of the cosmic-ray flux. The energy evolution of the mean and standard deviation of the measured $X_\mathrm{max}$ distributions indicates that the mass composition becomes increasingly heavier and purer, thus being incompatible with a large fraction of light nuclei between 50 EeV and 100 EeV., Comment: submitted to Phys. Rev. Lett., 10 pages, 3 figures, 1 table
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- 2024
25. Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning
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Grando, Ricardo B., Steinmetz, Raul, Kich, Victor A., Kolling, Alisson H., Furik, Pablo M., de Jesus, Junior C., Guterres, Bruna V., Gamarra, Daniel T., Guerra, Rodrigo S., and Drews-Jr, Paulo L. J.
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Computer Science - Robotics ,Computer Science - Artificial Intelligence - Abstract
Deep Reinforcement Learning (DRL) has emerged as a promising approach to enhancing motion control and decision-making through a wide range of robotic applications. While prior research has demonstrated the efficacy of DRL algorithms in facilitating autonomous mapless navigation for aerial and terrestrial mobile robots, these methods often grapple with poor generalization when faced with unknown tasks and environments. This paper explores the impact of the Delayed Policy Updates (DPU) technique on fostering generalization to new situations, and bolstering the overall performance of agents. Our analysis of DPU in aerial and terrestrial mobile robots reveals that this technique significantly curtails the lack of generalization and accelerates the learning process for agents, enhancing their efficiency across diverse tasks and unknown scenarios., Comment: IEEE 20th International Conference on Automation Science and Engineering (CASE)
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- 2024
26. School-Family Partnerships to Support Attendance: Advancing an Equity-Centered Theoretical Framework
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Sarah Lindstrom Johnson, Nita Kulkarni, Sue A. Rodriguez De Jesus, Stephanie Cottam, Marianne Fillhouer, and Ana M. M. Guevara
- Abstract
Background: Since returning to in-person instruction after the emergence of COVID-19 schools have seen a dramatic increase in the number of students chronically absent, with data indicating a greater increase for low-income, Black, and Hispanic students. Given the role of school attendance in both promoting positive educational outcomes as well as providing students with physical and mental health supports, it is critical to identify ways to re-engage families in a manner that is culturally responsive and equitable. Contributions to Theory: Current attendance interventions focus primarily on school-based academic and behavioral supports for students while excluding the family. Additionally, traditional family engagement models do not address the sociocultural realities of low-income and/or minoritized families. We present a strengths-based model of family engagement to support attendance. Implications for School Health Policy, Practice, and Equity: Along with our model, we provide concrete supports that schools can provide, including example measurement items. In this way, schools and districts can self-assess as well as identify action steps to promote positive school-family partnerships for equitable family engagement. Conclusions: Without consistent attendance, schools cannot support positive educational outcomes nor provide important safety net services for students. Attendance is a family engagement challenge, which addressing holistically can reduce racial and socioeconomic educational and health disparities.
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- 2024
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27. Airborne DNA reveals predictable spatial and seasonal dynamics of fungi.
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Abrego, Nerea, Furneaux, Brendan, Hardwick, Bess, Somervuo, Panu, Palorinne, Isabella, Aguilar-Trigueros, Carlos, Andrew, Nigel, Babiy, Ulyana, Bao, Tan, Bazzano, Gisela, Bondarchuk, Svetlana, Bonebrake, Timothy, Brennan, Georgina, Bret-Harte, Syndonia, Bässler, Claus, Cagnolo, Luciano, Cameron, Erin, Chapurlat, Elodie, Creer, Simon, DAcqui, Luigi, de Vere, Natasha, Desprez-Loustau, Marie-Laure, Dongmo, Michel, Jacobsen, Ida, Fisher, Brian, Flores de Jesus, Miguel, Gilbert, Gregory, Griffith, Gareth, Gritsuk, Anna, Gross, Andrin, Grudd, Håkan, Halme, Panu, Hanna, Rachid, Hansen, Jannik, Hansen, Lars, Hegbe, Apollon, Hill, Sarah, Hogg, Ian, Hultman, Jenni, Hyde, Kevin, Hynson, Nicole, Ivanova, Natalia, Karisto, Petteri, Kerdraon, Deirdre, Knorre, Anastasia, Krisai-Greilhuber, Irmgard, Kurhinen, Juri, Kuzmina, Masha, Lecomte, Nicolas, Lecomte, Erin, Loaiza, Viviana, Lundin, Erik, Meire, Alexander, Mešić, Armin, Miettinen, Otto, Monkhouse, Norman, Mortimer, Peter, Müller, Jörg, Nilsson, R, Nonti, Puani, Nordén, Jenni, Nordén, Björn, Norros, Veera, Paz, Claudia, Pellikka, Petri, Pereira, Danilo, Petch, Geoff, Pitkänen, Juha-Matti, Popa, Flavius, Potter, Caitlin, Purhonen, Jenna, Pätsi, Sanna, Rafiq, Abdullah, Raharinjanahary, Dimby, Rakos, Niklas, Rathnayaka, Achala, Raundrup, Katrine, Rebriev, Yury, Rikkinen, Jouko, Rogers, Hanna, Rogovsky, Andrey, Rozhkov, Yuri, Runnel, Kadri, Saarto, Annika, Savchenko, Anton, Schlegel, Markus, Schmidt, Niels, Seibold, Sebastian, Skjøth, Carsten, Stengel, Elisa, Sutyrina, Svetlana, Syvänperä, Ilkka, Tedersoo, Leho, Timm, Jebidiah, Tipton, Laura, Toju, Hirokazu, Uscka-Perzanowska, Maria, van der Bank, Michelle, van der Bank, F, and Vandenbrink, Bryan
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Air Microbiology ,Biodiversity ,DNA ,Fungal ,Fungi ,Mycorrhizae ,Phylogeny ,Seasons ,Spatio-Temporal Analysis ,Spores ,Fungal ,Temperature ,Tropical Climate ,Geographic Mapping - Abstract
Fungi are among the most diverse and ecologically important kingdoms in life. However, the distributional ranges of fungi remain largely unknown as do the ecological mechanisms that shape their distributions1,2. To provide an integrated view of the spatial and seasonal dynamics of fungi, we implemented a globally distributed standardized aerial sampling of fungal spores3. The vast majority of operational taxonomic units were detected within only one climatic zone, and the spatiotemporal patterns of species richness and community composition were mostly explained by annual mean air temperature. Tropical regions hosted the highest fungal diversity except for lichenized, ericoid mycorrhizal and ectomycorrhizal fungi, which reached their peak diversity in temperate regions. The sensitivity in climatic responses was associated with phylogenetic relatedness, suggesting that large-scale distributions of some fungal groups are partially constrained by their ancestral niche. There was a strong phylogenetic signal in seasonal sensitivity, suggesting that some groups of fungi have retained their ancestral trait of sporulating for only a short period. Overall, our results show that the hyperdiverse kingdom of fungi follows globally highly predictable spatial and temporal dynamics, with seasonality in both species richness and community composition increasing with latitude. Our study reports patterns resembling those described for other major groups of organisms, thus making a major contribution to the long-standing debate on whether organisms with a microbial lifestyle follow the global biodiversity paradigms known for macroorganisms4,5.
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- 2024
28. Combination of Measurements of the Top Quark Mass from Data Collected by the ATLAS and CMS Experiments at s=7 and 8 TeV
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Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Hussain, PS, 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, MR, Janssen, T, Van Mechelen, P, Bols, ES, D’Hondt, J, Dansana, S, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Makarenko, I, Müller, D, Sahasransu, AR, Tavernier, S, Tytgat, M, Van Putte, S, Vannerom, D, Clerbaux, B, De Lentdecker, G, Favart, L, Hohov, D, Jaramillo, J, Khalilzadeh, A, Lee, K, Mahdavikhorrami, M, Malara, A, Paredes, S, Pétré, L, Postiau, N, Thomas, L, Bemden, M Vanden, Vander Velde, C, Vanlaer, P, De Coen, M, Dobur, D, Hong, Y, Knolle, J, Lambrecht, L, Mestdach, G, Rendón, C, Samalan, A, Skovpen, K, Van Den Bossche, N, van der Linden, J, Wezenbeek, L, Benecke, A, Bruno, G, Caputo, C, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, TT, Wertz, S, Alves, GA, Coelho, E, Hensel, C, De Oliveira, T Menezes, Moraes, A, Teles, P Rebello, Soeiro, M, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, De Souza, S Fonseca, De Souza, R Gomes, Martins, J, and Herrera, C Mora
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Nuclear and Plasma Physics ,Particle and High Energy Physics ,Physical Sciences ,CMS Collaboration† ,ATLAS Collaboration‡ ,Mathematical Sciences ,Engineering ,General Physics ,Mathematical sciences ,Physical sciences - Abstract
A combination of fifteen top quark mass measurements performed by the ATLAS and CMS experiments at the LHC is presented. The datasets used correspond to an integrated luminosity of up to 5 and 20 fb^{-1} of proton-proton collisions at center-of-mass energies of 7 and 8 TeV, respectively. The combination includes measurements in top quark pair events that exploit both the semileptonic and hadronic decays of the top quark, and a measurement using events enriched in single top quark production via the electroweak t channel. The combination accounts for the correlations between measurements and achieves an improvement in the total uncertainty of 31% relative to the most precise input measurement. The result is m_{t}=172.52±0.14(stat)±0.30(syst) GeV, with a total uncertainty of 0.33 GeV.
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- 2024
29. MAPPING ORGANIZATIONAL SUPPORT AND COLLECTIVE ACTION: Towards a Model for Advancing Racial Equity in Community College
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Felix, Eric R, González, Ángel de Jesus, and Felix, Elijah J
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- 2024
30. Hysteresis area at the canopy level during and after a drought event in the Central Amazon
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Gimenez, Bruno O, Souza, Daisy C, Higuchi, Niro, Negrón-Juárez, Robinson I, de Jesus Sampaio-Filho, Israel, Araújo, Alessandro C, Lima, Adriano JN, Fontes, Clarissa G, Jardine, Kolby J, Koven, Charles D, Meng, Lin, Pastorello, Gilberto, McDowell, Nate, and Chambers, Jeffrey Q
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Agricultural ,Veterinary and Food Sciences ,Biological Sciences ,Ecology ,Plant Biology ,Forestry Sciences ,Heat stress ,Idealized simulations ,Hysteresis loops ,Leaf water potential ,Amazonia ,Earth Sciences ,Agricultural and Veterinary Sciences ,Meteorology & Atmospheric Sciences ,Agricultural ,veterinary and food sciences ,Biological sciences ,Earth sciences - Abstract
Understanding forest water limitation during droughts within a warming climate is essential for accurate predictions of forest-climate interactions. In hyperdiverse ecosystems like the Amazon forest, the mechanisms shaping hysteresis patterns in transpiration relative to environmental factors are not well understood. From this perspective, we investigated these dynamics by conducting in situ leaf-level measurements throughout and after the 2015 El Niño-Southern Oscillation (ENSO) drought. Our findings indicate a substantial increase in the hysteresis area (Harea) among transpiration (E), vapor pressure deficit (VPD), and stomatal conductance (gs) at canopy level during the ENSO peak, attributed to both temporal lag and differences in magnitude between gs and VPD peaks. Specifically, the canopy species Pouteria anomala exhibited an increased Harea, due to earlier maximum gs rates leading to a greater temporal lag with VPD compared to the post-drought period. Additionally, leaf water potential (ΨL) and canopy temperature (Tcanopy) showed larger Harea during the ENSO peak compared to post-drought conditions across all studied species, suggesting that stomatal closure, particularly during the afternoon, acts to minimize water loss and may explain the counterclockwise hysteresis observed between ΨL and Tcanopy. The pronounced Harea during the drought points to a potential imbalance between water supply and demand, underlining the role of stomatal behavior of isohydric species in response to drought.
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- 2024
31. Searching for Beyond the Standard Model physics using the improved description of $^{100}$Mo $2\nu\beta\beta$ decay spectral shape with CUPID-Mo
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Augier, C., Barabash, A. S., Bellini, F., Benato, G., Beretta, M., Bergé, L., Billard, J., Borovlev, Yu. A., Cardani, L., Casali, N., Cazes, A., Celi, E., Chapellier, M., Chiesa, D., Dafinei, I., Danevich, F. A., De Jesus, M., Dixon, T., Dumoulin, L., Eitel, K., Ferri, F., Fujikawa, B. K., Gascon, J., Gironi, L., Giuliani, A., Grigorieva, V. D., Gros, M., Helis, D. L., Huang, H. Z., Huang, R., Imbert, L., Juillard, A., Khalife, H., Kleifges, M., Kobychev, V. V., Kolomensky, Yu. G., Konovalov, S. I., Kotila, J., Loaiza, P., Ma, L., Makarov, E. P., de Marcillac, P., Mariam, R., Marini, L., Marnieros, S., Navick, X. F., Nones, C., Norman, E. B., Olivieri, E., Ouellet, J. L., Pagnanini, L., Pattavina, L., Paul, B., Pavan, M., Peng, H., Pessina, G., Pirro, S., Poda, D. V., Polischuk, O. G., Pozzi, S., Previtali, E., Redon, Th., Rojas, A., Rozov, S., Sanglard, V., Scarpaci, J. A., Schmidt, B., Shen, Y., Shlegel, V. N., Šimkovic, F., Singh, V., Tomei, C., Tretyak, V. I., Umatov, V. I., Vagneron, L., Velázquez, M., War, B., Welliver, B., Winslow, L., Xue, M., Yakushev, E., Zarytskyy, M., and Zolotarova, A. S.
- Subjects
Nuclear Experiment - Abstract
The current experiments searching for neutrinoless double-$\beta$ ($0\nu\beta\beta$) decay also collect large statistics of Standard Model allowed two-neutrino double-$\beta$ ($2\nu\beta\beta$) decay events. These can be used to search for Beyond Standard Model (BSM) physics via $2\nu\beta\beta$ decay spectral distortions. $^{100}$Mo has a natural advantage due to its relatively short half-life, allowing higher $2\nu\beta\beta$ decay statistics at equal exposures compared to the other isotopes. We demonstrate the potential of the dual read-out bolometric technique exploiting a $^{100}$Mo exposure of 1.47 kg $\times$ y, acquired in the CUPID-Mo experiment at the Modane underground laboratory (France). We set limits on $0\nu\beta\beta$ decays with the emission of one or more Majorons, on $2\nu\beta\beta$ decay with Lorentz violation, and $2\nu\beta\beta$ decay with a sterile neutrino emission. In this analysis, we investigate the systematic uncertainty induced by modeling the $2\nu\beta\beta$ decay spectral shape parameterized through an improved model, an effect never considered before. This work motivates searches for BSM processes in the upcoming CUPID experiment, which will collect the largest amount of $2\nu\beta\beta$ decay events among the next-generation experiments.
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- 2024
32. Impact of the Magnetic Horizon on the Interpretation of the Pierre Auger Observatory Spectrum and Composition Data
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The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Bellido, J. A., Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., de Errico, B. P. de Souza, De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Gherghel-Lascu, A., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janardhana, V., Janecek, P., Jilek, V., Johnsen, J. A., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Armand, J. Perez, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Ruehl, P., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Silli, G., Sima, O., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Soriano, J. F., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.
- Subjects
Astrophysics - High Energy Astrophysical Phenomena - Abstract
The flux of ultra-high energy cosmic rays reaching Earth above the ankle energy (5 EeV) can be described as a mixture of nuclei injected by extragalactic sources with very hard spectra and a low rigidity cutoff. Extragalactic magnetic fields existing between the Earth and the closest sources can affect the observed CR spectrum by reducing the flux of low-rigidity particles reaching Earth. We perform a combined fit of the spectrum and distributions of depth of shower maximum measured with the Pierre Auger Observatory including the effect of this magnetic horizon in the propagation of UHECRs in the intergalactic space. We find that, within a specific range of the various experimental and phenomenological systematics, the magnetic horizon effect can be relevant for turbulent magnetic field strengths in the local neighbourhood of order $B_{\rm rms}\simeq (50-100)\,{\rm nG}\,(20\rm{Mpc}/{d_{\rm s})( 100\,\rm{kpc}/L_{\rm coh}})^{1/2}$, with $d_{\rm s}$ the typical intersource separation and $L_{\rm coh}$ the magnetic field coherence length. When this is the case, the inferred slope of the source spectrum becomes softer and can be closer to the expectations of diffusive shock acceleration, i.e., $\propto E^{-2}$. An additional cosmic-ray population with higher source density and softer spectra, presumably also extragalactic and dominating the cosmic-ray flux at EeV energies, is also required to reproduce the overall spectrum and composition results for all energies down to 0.6~EeV., Comment: Matches published version
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- 2024
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33. Recognition of the Tamaulipas whitesided jackrabbit (Lepus altamirae E. W. Nelson, 1904) (Lagomorpha: Leporidae) in its type locality, Altamira/Reconocimiento de la liebre de costados blancos de Tamaulipas (Lepus altamirae E. W. Nelson, 1904) (Lagomorpha: Leporidae) en la localidad tipo, Altamira
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de Jesus Balderas-Mancilla, Ulises, Farias-Gonzalez, Veronica, Hernandez-Hernandez, Mauricio, Frias-Morales, Bruno, De Los Angeles Medrano-Walt, Maria, Vazquez-Maldonado, Laura Elena, Azuara-Dominguez, Ausencio, Gallo-Reynoso, Juan Pablo, and Ortiz-Guerrero, Arturo
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- 2024
- Full Text
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34. Lean Office: uma Proposta de Otimizacao para Reduzir as Falhas no Fluxo de Valor do Processo de Compras Governamentais de uma Instituicao de Ensino Superior /Lean Office: an Optimization Proposal to Reduce Failures in the Value Stream of the Government Procurement Process of a Higher Education Institution /Lean Office: una Propuesta de Optimizacion para Reducir Fallas en el Flujo de Valor del Proceso de Compras Gubernamentales de una Institucion de Educacion Superior
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de Jesus Borges Pinto, Edir
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- 2024
35. Validação da Versão Reduzida do Inventário de Felicidade no Trabalho
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Silva Ribeiro, Andresa Darosci, de Jesus, Saúl Neves, Ribeiro Viseu, João Nuno, Silva, Narbal, and Vieira dos Santos, Joana Conduto
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- 2024
- Full Text
- View/download PDF
36. Plataforma de Inteligencia Cooperativa com a Atencao Primaria a Saude (Picaps): solucoes tecnocientificas em saude digital no enfrentamento da COVID-19 e outras crises /Cooperative Intelligence Platform for Primary Health Care (Picaps): techno-scientific solutions in digital health to confront COVID-19 and other crises
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Martins, Wagner de Jesus, Torres Maia, Edward, Gomes Lima, Antonia Sheila, Peralta Bonetti, Osvaldo, Silva Goncalves, Lilian, Almeida Brito da Silva, Joao Paulo, Fernandes Barbosa, Daniel, and Niskier Sanchez, Mauro
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- 2024
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37. La actividad periodística y los desafíos de su gestión en los Estados Unidos de América y Europa
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de Jesus Faustino, João Paulo
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- 2024
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38. Fatigue, Corrosion-Fatigue and SCC of AISI 304 Stainless Steel Fully-Threaded Stud Bolts
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Nery, Macclarck Pessoa, Nascimento, Brenno Lima, da Silva Reis, Matheus Mariano, Conceição de Jesus, Ihana Gabriela, Griza, Sandro, and Martins, Carlos Otávio Damas
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- 2024
- Full Text
- View/download PDF
39. Flies as Carriers of Gastrointestinal Protozoa of Interest in Public Health in the Northeast of Brazil
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dos Santos, João Victor Batista, dos Santos, Anna Luiza Hora, Alves, André Mota, de Oliveira, Matheus Resende, de Medeiros Gomes Simplicio, Kalina Maria, Silva, Lorena Maciel Santos, de Jesus, João Victor, Soares, Michelle Evangelista, da Costa, Ana Cinthia Santos, da Silva, Weslania Sousa Inacio, de Melo, Cláudia Moura, Madi, Rubens Riscala, and Lima, Victor Fernando Santana
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- 2024
- Full Text
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40. Phosphorus adsorption of a residue from the pulp and paper industry (grits): contributions to tertiary wastewater treatment
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Kohatsu, M. Y., do Carmo Calijuri, M., de Paula, R. Z., Arantes, C. C., Lange, C. N., and de Jesus, T. A.
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- 2024
- Full Text
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41. Diagnosis of viral infectious diseases through sensitive detection of human serum antibodies using a modified label-free electrochemical biosensor
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de Araujo Andrade, Tatianny, Ribeiro, Iare Soares, Silva, Tiago Almeida, de Souza, Leyllanne Katharinne Araujo, Coltro, Wendell Karlos Tomazelli, Borges, Lysandro Pinto, Silva, Deise Maria Rego Rodrigues, de Tarso Garcia, Paulo, and de Jesus, Jemmyson Romário
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- 2024
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42. Development of Simple Method for Multi-elemental Determination of Inorganic Elements in Handmade Chocolate Employing Extraction Induced by Emulsion Breaking and MIP OES
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Guimarães, Geovana B., Guimarães, Leonardo B., Romero, Julia C., Queiroz, Sheylla M. S., Lima, Daniel C., Santos, Luana N., da Silva, Erik G. P., de Jesus, Raildo M., Dias, Fábio S., Lepri, Fábio G., Silva, Allison G., and Amorim, Fábio Alan C.
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- 2024
- Full Text
- View/download PDF
43. The frequency of the ACE I/D polymorphism in South America: a systematic review and meta-analysis
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Trevisano, Rebeca Gonçalves, Matias, Helen, de Jesus Teani, Thais, Silvino, Valmir Oliveira, Ferreira, Cirley Pinheiro, dos Santos, Marcos Antonio Pereira, Braga, Pedro Luiz Garcia, and Almeida, Sandro Soares
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- 2024
- Full Text
- View/download PDF
44. A crucial remark on the importance of considering transient configurations on the optimal coordination of directional overcurrent relays in power systems with high penetration of inverter-based generation resources
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M. De Oliveira-De Jesus, Paulo and Urdaneta, Alberto J.
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- 2024
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45. Exploring phytochemistry, antioxidant capacity, and biological potential of essential oils obtained from Euphorbiaceae species
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da Costa, Leonardo Souza, Ferreira, Oberdan Oliveira, Lobato, Lohren Glendha Nunes, de Santana Botelho, Anderson, Mali, Suraj N., Kumar, Ravendra, de Jesus Pereira Franco, Celeste, Rosa, Ulisses Alves, Correia, Zelina Ataíde, da Silva, Marcilene Paiva, de Oliveira, Mozaniel Santana, and de Aguiar Andrade, Eloisa Helena
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- 2024
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46. Optimizing the user experience of additive manufacturing products through material driven design
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Balderrama-Armendariz, Cesar Omar, Arbelaez-Rios, Sergio Esteban, Cortes-Saenz, David, Flores-Figueroa, Jose de Jesus, Maldonado-Macias, Aide Aracely, and Rossa-Sierra, Alberto
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- 2024
- Full Text
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47. Impact of Nutrient Omissions on Growth and Biomass Nutrition in Young Plants of Cupuaçu Tree (Theobroma grandiflorum (Willd. ex Spreng.) Shum)
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da Silva, Bianca Cavalcante, Costa, Milton Garcia, Viégas, Ismael de Jesus Matos, Cazetta, Jairo Osvaldo, Alves, Rafael Moises, and Silva², Diocléa Almeida Seabra
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- 2024
- Full Text
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48. A Systematic Review of Human–Robot Interaction: The Use of Emotions and the Evaluation of Their Performance
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Ottoni, Lara Toledo Cordeiro and Cerqueira, Jés de Jesus Fiais
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- 2024
- Full Text
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49. Classes and phyla of the kingdom Fungi
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Wijayawardene, Nalin N., Hyde, Kevin D., Mikhailov, Kirill V., Péter, Gábor, Aptroot, André, Pires-Zottarelli, Carmen L. A., Goto, Bruno T., Tokarev, Yuri S., Haelewaters, Danny, Karunarathna, Samantha C., Kirk, Paul M., de A. Santiago, André L. C. M., Saxena, Ramesh K., Schoutteten, Nathan, Wimalasena, Madhara K., Aleoshin, Vladimir V., Al-Hatmi, Abdullah M. S., Ariyawansa, Kahandawa G. S. U., Assunção, Amanda R., Bamunuarachchige, Thushara C., Baral, Hans-Otto, Bhat, D. Jayarama, Błaszkowski, Janusz, Boekhout, Teun, Boonyuen, Nattawut, Brysch-Herzberg, Michael, Cao, Bin, Cazabonne, Jonathan, Chen, Xue-Mei, Coleine, Claudia, Dai, Dong-Qin, Daniel, Heide-Marie, da Silva, Suzana B. G., de Souza, Francisco Adriano, Dolatabadi, Somayeh, Dubey, Manish K., Dutta, Arun K., Ediriweera, Aseni, Egidi, Eleonora, Elshahed, Mostafa S., Fan, Xinlei, Felix, Juliana R. B., Galappaththi, Mahesh C. A., Groenewald, Marizeth, Han, Li-Su, Huang, Bo, Hurdeal, Vedprakash G., Ignatieva, Anastasia N., Jerônimo, Gustavo H., de Jesus, Ana L., Kondratyuk, Serhii, Kumla, Jaturong, Kukwa, Martin, Li, Qirui, Lima, Juliana L. R., Liu, Xiao-Yong, Lu, Wenhua, Lumbsch, H. Thorsten, Madrid, Hugo, Magurno, Franco, Marson, Guy, McKenzie, Eric H. C., Menkis, Audrius, Mešić, Armin, Nascimento, Elaine C. R., Nassonova, Elena S., Nie, Yong, Oliveira, Naasson V. L., Ossowska, Emilia A., Pawłowska, Julia, Peintner, Ursula, Pozdnyakov, Igor R., Premarathne, Bhagya M., Priyashantha, A. K. Hasith, Quandt, C. Alisha, Queiroz, Mariana B., Rajeshkumar, Kunhiraman C., Raza, Mubashar, Roy, Niranjan, Samarakoon, Milan C., Santos, Alessandra A., Santos, Lidiane A., Schumm, Felix, Selbmann, Laura, Selçuk, Faruk, Simmons, D. Rabern, Simakova, Anastasia V., Smith, Maudy Th., Sruthi, Onden Paraparath, Suwannarach, Nakarin, Tanaka, Kazuaki, Tibpromma, Saowaluck, Tomás, Elias O., Ulukapı, Merve, Van Vooren, Nicolas, Wanasinghe, Dhanushka N., Weber, Evi, Wu, Qianzhen, Yang, Er Fu, Yoshioka, Ryuichi, Youssef, Noha H., Zandijk, Annemarie, Zhang, Gui-Qing, Zhang, Jin-Yong, Zhao, Heng, Zhao, RuiLin, Zverkov, Oleg A., Thines, Marco, and Karpov, Sergey A.
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- 2024
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50. A bifurcation analysis of simple singularities: cones, cross-caps, double and triple crossing points
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de Rezende, Ketty A. and Zigart, Murilo A. de Jesus
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- 2024
- Full Text
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