95,730 results on '"Motta AS"'
Search Results
52. Polycyclic aromatic hydrocarbons (PAHs) in black crusts on stone monuments in Milan: detection, quantification, distributions, and source assessment
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Ricciardi, Maria, Faggiano, Antonio, Fiorentino, Antonino, Carotenuto, Maurizio, Bergomi, Andrea, Comite, Valeria, Motta, Oriana, Proto, Antonio, and Fermo, Paola
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- 2024
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53. A Converse Lyapunov-Type Theorem for Control Systems with Regulated Cost
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Lai, Anna Chiara and Motta, Monica
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- 2024
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54. VARI as an indicator of site productivity of Pinus taeda L.: soil, litter, and plant nutrition
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Ercole, Tamires Maiara, Gomes, João Bosco Vasconcellos, dos Santos Rodrigues, Valdécio, dos Santos Trentin, Nicolas, de Oliveira Junior, Jairo Calderari, Assis-Pereira, Gabriel, Tomazello-Filho, Mario, Moura, Amanda Pacheco Cardoso, Maeda, Shizuo, Prior, Stephen Arthur, Consalter, Rangel, and Motta, Antônio Carlos Vargas
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- 2024
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55. Empowering Underserved Communities in Southern Puerto Rico: A Formal Training Program in Community Health Promotion
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Morales-Torres, Luisa, Vélez-Maldonado, David A., Rosario-Maldonado, Fernando J., Aguirre-Hernández, Jeannie M., Motta-Pagán, Jorge L., Rodríguez-Torruella, Dorimar, Castro-Figueroa, Eida, Ramos-Lucca, Axel, Rivera-Mateo, Elizabeth, Marzán-Rodríguez, Melissa, and Jiménez-Chávez, Julio
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- 2024
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56. Goodbye Taiwan; Welcome China: The Changing Foreign Policies of Central American Countries (2000–2018)
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Rodriguez, Julio Cesar Cossio, Hendler, Bruno, Corrêa, Gabriela Tamiris Rosa, and Motta, André Luiz Cançado
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- 2024
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57. Infrared thermography in children: identifying key facial temperature distribution patterns
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Valentim, Amanda Freitas, Motta, Andréa Rodrigues, Silva, Júlia Ana Soares, Telson, Yasmim Carvalho, Salles, Patrícia Vieira, Furlan, Renata Maria Moreira Moraes, Porto, Matheus Pereira, and Gama, Ana Cristina Côrtes
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- 2024
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58. Licuri (Syagrus coronata) Oil Cake as a Substrate for Collagenolytic Protease Production by Submerged Fermentation Using a Novel Strain of Penicillium citrinum Isolated from the Brazilian Caatinga
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Ramos, Diego Gomes, de Lima, Joenny Maria Silveira, Filho, José Pedro Martins Barbosa, de Souza-Motta, Cristina Maria, de Araújo Viana Marques, Daniela, da Silva, Marcia Vanusa, dos Santos Correia, Maria Tereza, Costa, Romero Marcos Pedrosa Brandão, Converti, Attilio, de Almeida, Sinara Mônica Vitalino, and de Albuquerque Lima Duarte, Carolina
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- 2024
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59. Physical activity and exercise in chronic kidney disease: consensus statements from the Physical Exercise Working Group of the Italian Society of Nephrology
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Battaglia, Yuri, Baciga, Federica, Bulighin, Francesca, Amicone, Maria, Mosconi, Giovanni, Storari, Alda, Brugnano, Rachele, Pozzato, Marco, Motta, Daria, D’alessandro, Claudia, Torino, Claudia, Mallamaci, Francesca, Cupisti, Adamasco, Aucella, Filippo, and Capitanini, Alessandro
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- 2024
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60. Production of pyrite-based catalysts supported on graphene oxide and zinc oxide to treat drug mixture via advanced oxidation processes
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de Oliveira Marques Cavalcanti, Vanessa, Napoleão, Daniella Carla, Santana, Ingrid Larissa da Silva, Santana, Rayany Magali da Rocha, Lucena, Alex Leandro Andrade de, and da Motta Sobrinho, Maurício Alves
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- 2024
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61. Prediction of surface roughness in duplex stainless steel top milling using machine learning techniques
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Vasconcelos, Guilherme Augusto Vilas Boas, Francisco, Matheus Brendon, de Oliveira, Carlos Henrique, Barbedo, Elioenai Levi, de Souza, Luiz Gustavo Paes, and de Lourdes Noronha Motta Melo, Mirian
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- 2024
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62. Novel Proposal for Dissimilar Girth Welding of API 5 L X65 Steel Pipe with Internal Alloy 625 Cladding Using Both Low-Alloy Steel and Alloy 22 Combined Filler Metals
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Miná, Émerson M., Ferreira, Gabriel M., Silva, Rafaella D., Marinho, Ricardo R., Dalpiaz, Giovani, Paes, Marcelo T., Motta, Marcelo F., Miranda, Hélio C., and Silva, Cleiton C.
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- 2024
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63. Sugarcane bagasse: alternative use of agro-industrial residue in pre-dimensioned catalytic synthesis to obtain ordered carbon and hydrogen via methane decomposition
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da Silva, Alson David Rodrigues, Motta, Rayssa Jossanea Brasileiro, de Sousa Trichês, Eliandra, and de Almeida, Rusiene Monteiro
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- 2024
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64. Basal FSH values are positively associated with aneuploidy incidence in pre-advanced maternal age (AMA) but not in AMA patients
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Jacobs, Catherine K., Nicolielo, Mariana, Alegretti, José Roberto, Canto, Mariabeatrice Dal, Renzini, Mario Mignini, De Ponti, Elena, Chehin, Mauricio Barbour, Motta, Eduardo L. A., Lorenzon, Aline R., and Buratini, Jose
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- 2024
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65. Vermicompost and Carbonized Rice Husk Influence the Production of Yellow Passion Fruit Cultivars Seedlings
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Santos, Cleberton Correia, de Sá Motta, Ivo, de Castro Souza, João Paulo, Macedo, Luis Guilherme Rodrigues, Posca, João Lucas Vieira, and Carneiro, Leandro Flávio
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- 2024
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66. Antimicrobial Resistance in Migratory Paths, Refugees, Asylum Seekers and Internally Displaced Persons: A Narrative Review
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Comelli, Agnese, Gaviraghi, Alberto, Cattaneo, Paolo, Motta, Leonardo, Bisoffi, Zeno, and Stroffolini, Giacomo
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- 2024
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67. Behind Prep Decisions: Understanding User Patterns and Discontinuation Factors in Real-World
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Braz Junior, R. P., Cesar, G. A., Amianti, C., Bandeira, L. M., Da Silva, A. S. P., and Motta-Castro, A. R. C.
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- 2024
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68. ST88 ceftazidime-resistant Stenotrophomonas maltophilia is present in the saliva and gingival crevicular fluid of patients with periodontitis and AIDS from São Paulo State, Brazil
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Vilela, Felipe Pinheiro, Kakumoto, Amanda Akemi, Gomes, Carolina Nogueira, Pólvora, Tábata Larissa Santos, Nobre, Átila Vinícius Vítor, Lourenço, Alan Grupioni, Motta, Ana Carolina Fragoso, and Falcão, Juliana Pfrimer
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- 2024
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69. Impact of Prolonged Continuous Ketamine Infusions in Critically Ill Children: A Prospective Cohort Study
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da Silva, Paulo Sérgio Lucas, Kubo, Emerson Yukio, da Motta Ramos Siqueira, Rafael, and Fonseca, Marcelo Cunio Machado
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- 2024
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70. Effects of 4-week high intensity interval training on anaerobic capacity, repeated-sprints performance and neuromuscular function
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Milioni, Fabio, Millet, Guillaume Y., de Poli, Rodrigo Araújo Bonetti, Brisola, Gabriel Motta Pinheiro, de Souza Malta, Elvis, Redkva, Paulo Eduardo, Barbieri, Fabio Augusto, and Zagatto, Alessandro Moura
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- 2024
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71. Isotherms, kinetics and thermodynamics of industrial dye acid red 27 adsorption on Sugarcane Bagasse Ash
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de Santana, Joana Eliza, de Andrade, Fábio Gabriel Silva, Ferreira, Aldebarã Fausto, Ghislandi, Marcos Gomes, and da Motta Sobrinho, Maurício Alves
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- 2024
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72. Agar/graphene oxide hydrogels as nano-bioadsorbents: a comparative analysis for dye removal
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de Araujo, Caroline Maria Bezerra, Rios, Albertina Gonçalves, Ferreira, Alexandre Filipe Porfírio, da Motta Sobrinho, Maurício Alves, Rodrigues, Alírio Egídio, and Ghislandi, Marcos Gomes
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- 2024
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73. Multi-pollutant biosorption of organic and inorganic pollutants by brown algae waste from alginate production: batch and fixed-bed investigation
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do Nascimento Júnior, Welenilton José, de Aguiar, Giovane Henrique, Massarelli, Renan Costa, Landers, Richard, Vieira, Melissa Gurgel Adeodato, and da Motta Sobrinho, Mauricio Alves
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- 2024
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74. Structural and Biochemical Characterization of Three Antimicrobial Peptides from Capsicum annuum L. var. annuum Leaves for Anti-Candida Use
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Cherene, Milena Bellei, Taveira, Gabriel Bonan, Almeida-Silva, Fabricio, da Silva, Marciele Souza, Cavaco, Marco Calvinho, da Silva-Ferreira, André Teixeira, Perales, Jonas Enrique Aguilar, de Oliveira Carvalho, André, Venâncio, Thiago Motta, da Motta, Olney Vieira, Rodrigues, Rosana, Castanho, Miguel Augusto Rico Botas, and Gomes, Valdirene Moreira
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- 2024
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75. Optimal impulsive control for time delay systems
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Fusco, Giovanni, Motta, Monica, and Vinter, Richard
- Subjects
Mathematics - Optimization and Control - Abstract
We introduce discontinuous solutions to nonlinear impulsive control systems with state time delays in the dynamics and derive necessary optimality conditions in the form of a Maximum Principle for associated optimal control problems. In the case without delays, if the measure control is scalar valued, the corresponding discontinuous state trajectory, understood as a limit of classical state trajectories for absolutely continuous controls approximating the measure, is unique. For vector valued measure controls however, the limiting trajectory is not unique and a full description of the control must include additional `attached' controls affecting instantaneous state evolution at a discontinuity. For impulsive control systems with time delays we reveal a new phenomenon, namely that the limiting state trajectory resulting from different approximations of a given measure control needs not to be unique, even in the scalar case. Correspondingly, our framework allows for additional attached controls, even though the measure control is scalar valued.
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- 2024
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76. Artificial Intelligence for Literature Reviews: Opportunities and Challenges
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Bolanos, Francisco, Salatino, Angelo, Osborne, Francesco, and Motta, Enrico
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Computer Science - Artificial Intelligence ,Computer Science - Human-Computer Interaction ,Computer Science - Information Retrieval - Abstract
This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is a rigorous and organised methodology that assesses and integrates previous research on a given topic. Numerous tools have been developed to assist and partially automate the SLR process. The increasing role of AI in this field shows great potential in providing more effective support for researchers, moving towards the semi-automatic creation of literature reviews. Our study focuses on how AI techniques are applied in the semi-automation of SLRs, specifically in the screening and extraction phases. We examine 21 leading SLR tools using a framework that combines 23 traditional features with 11 AI features. We also analyse 11 recent tools that leverage large language models for searching the literature and assisting academic writing. Finally, the paper discusses current trends in the field, outlines key research challenges, and suggests directions for future research., Comment: Updated with the reviewers comments. This version is now accepted at the Artificial Intelligence Review journal
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- 2024
77. Doping Liquid Argon with Xenon in ProtoDUNE Single-Phase: Effects on Scintillation Light
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DUNE Collaboration, Abud, A. Abed, Abi, B., Acciarri, R., Acero, M. A., Adames, M. R., Adamov, G., Adamowski, M., Adams, D., Adinolfi, M., Adriano, C., Aduszkiewicz, A., Aguilar, J., Aimard, B., Akbar, F., Allison, K., Monsalve, S. Alonso, Alrashed, M., Alton, A., Alvarez, R., Es-sghir, H. Amar, Amedo, P., Anderson, J., Andrade, D. A., Andreopoulos, C., Andreotti, M., Andrews, M. P., Andrianala, F., Andringa, S., Anfimov, N., Ankowski, A., Antoniassi, M., Antonova, M., Antoshkin, A., Aranda-Fernandez, A., Arellano, L., Diaz, E. Arrieta, Arroyave, M. A., Asaadi, J., Ashkenazi, A., Asquith, L., Atkin, E., Auguste, D., Aurisano, A., Aushev, V., Autiero, D., Azfar, F., Back, A., Back, H., Back, J. J., Bagaturia, I., Bagby, L., Balashov, N., Balasubramanian, S., Baldi, P., Baldini, W., Baller, B., Bambah, B., Banerjee, R., Barao, F., Barenboim, G., BarhamAlzás, P., Barker, G. J., Barkhouse, W., Barr, G., Monarca, J. Barranco, Barros, A., Barros, N., Barrow, D., Barrow, J. L., Basharina-Freshville, A., Bashyal, A., Basque, V., Batchelor, C., Bathe-Peters, L., Battat, J. B. R., Battisti, F., Bay, F., Bazetto, M. C. Q., Alba, J. L. L. Bazo, Beacom, J. F., Bechetoille, E., Behera, B., Belchior, E., Bell, G., Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Benekos, N., Montiel, C. Benitez, Benjamin, D., Neves, F. Bento, Berger, J., Berkman, S., Bernardini, P., Bersani, A., Bertolucci, S., Betancourt, M., Rodríguez, A. Betancur, Bevan, A., Bezawada, Y., Bezerra, A. T., Bezerra, T. J., Bhat, A., Bhatnagar, V., Bhatt, J., Bhattacharjee, M., Bhattacharya, M., Bhuller, S., Bhuyan, B., Biagi, S., Bian, J., Biery, K., Bilki, B., Bishai, M., Bitadze, A., Blake, A., Blaszczyk, F. D., Blazey, G. C., Blucher, E., Boissevain, J., Bolognesi, S., Bolton, T., Bomben, L., Bonesini, M., Bonilla-Diaz, C., Bonini, F., Booth, A., Boran, F., Bordoni, S., Merlo, R. Borges, Borkum, A., Bostan, N., Bracinik, J., Braga, D., Brahma, B., Brailsford, D., Bramati, F., Branca, A., Brandt, A., Bremer, J., Brew, C., Brice, S. J., Brio, V., Brizzolari, C., Bromberg, C., Brooke, J., Bross, A., Brunetti, G., Brunetti, M., Buchanan, N., Budd, H., Buergi, J., Burgardt, D., Butchart, S., V., G. Caceres, Cagnoli, I., Cai, T., Calabrese, R., Calcutt, J., Calin, M., Calivers, L., Calvo, E., Caminata, A., Campanelli, W., Benitez, A. Campos, Canci, N., Capó, J., Caracas, I., Caratelli, D., Carber, D., Carceller, J. M., Carini, G., Carlus, B., Carneiro, M. F., Carniti, P., Terrazas, I. Caro, Carranza, H., Carrara, N., Carroll, L., Carroll, T., Carter, A., Casazza, D., Forero, J. F. Castaño, Castaño, F. A., Castillo, A., Castromonte, C., Catano-Mur, E., Cattadori, C., Cavalier, F., Cavanna, F., Centro, S., Cerati, G., Cervelli, A., Villanueva, A. Cervera, Chakraborty, K., Chalifour, M., Chappell, A., Charitonidis, N., Chatterjee, A., Chen, H., Chen, M., Chen, W. C., Chen, Y., Chen-Wishart, Z., Cherdack, D., Chi, C., Chirco, R., Chitirasreemadam, N., Cho, K., Choate, S., Chokheli, D., Chong, P. S., Chowdhury, B., Christian, D., Chukanov, A., Chung, M., Church, E., Cicala, M. F., Cicerchia, M., Cicero, V., Ciolini, R., Clair, J., Clarke, P., Cline, G., Coan, T. E., Cocco, A. G., Coelho, J. A. B., Cohen, A., Collot, J., Conley, E., Conrad, J. M., Convery, M., Cooke, P., Copello, S., Cova, P., Cox, C., Cremaldi, L., Cremonesi, L., Crespo-Anadón, J. I., Crisler, M., Cristaldo, E., Crnkovic, J., Crone, G., Cross, R., Cudd, A., Cuesta, C., Cui, Y., Cussans, D., Dai, J., Dalager, O., Dallavalle, R., da Motta, H., Dar, Z. A., Darby, R., Peres, L. Da Silva, David, Q., Davies, G. S., Davini, S., Dawson, J., De Aguiar, R., De Almeida, P., Debbins, P., De Bonis, I., Decowski, M. P., de Gouvêa, A., De Holanda, P. C., Astiz, I. L. De Icaza, De Jong, P., De la Torre, A., Delbart, A., Delepine, D., Delgado, M., Dell'Acqua, A., Monache, G. Delle, Delmonte, N., De Lurgio, P., Demario, R., Neto, J. R. T. de Mello, DeMuth, D. M., Dennis, S., Densham, C., Denton, P., Deptuch, G. W., De Roeck, A., De Romeri, V., Detje, J. P., Devine, J., Dharmapalan, R., Dias, M., Díaz, J. S., Díaz, F., Di Capua, F., Di Domenico, A., Di Domizio, S., Di Falco, S., Di Giulio, L., Ding, P., Di Noto, L., Diociaiuti, E., Distefano, C., Diurba, R., Diwan, M., Djurcic, Z., Doering, D., Dolan, S., Dolek, F., Dolinski, M. J., Domenici, D., Domine, L., Donati, S., Donon, Y., Doran, S., Douglas, D., Doyle, T. A., Dragone, A., Drielsma, F., Duarte, L., Duchesneau, D., Duffy, K., Dugas, K., Dunne, P., Dutta, B., Duyang, H., Dvornikov, O., Dwyer, D. A., Dyshkant, A. S., Dytman, S., Eads, M., Earle, A., Edayath, S., Edmunds, D., Eisch, J., Englezos, P., Ereditato, A., Erjavec, T., Escobar, C. O., Evans, J. J., Ewart, E., Ezeribe, A. C., Fahey, K., Fajt, L., Falcone, A., Fani', M., Farnese, C., Farzan, Y., Fedoseev, D., Felix, J., Feng, Y., Fernandez-Martinez, E., Ferraro, F., Ferry, G., Fields, L., Filip, P., Filkins, A., Filthaut, F., Fine, R., Fiorillo, G., Fiorini, M., Fogarty, S., Foreman, W., Fowler, J., Franc, J., Francis, K., Franco, D., Franklin, J., Freeman, J., Fried, J., Friedland, A., Fuess, S., Furic, I. K., Furman, K., Furmanski, A. P., Gabrielli, A., Gago, A. M., Galizzi, F., Gallagher, H., Gallas, A., Gallice, N., Galymov, V., Gamberini, E., Gamble, T., Ganacim, F., Gandhi, R., Ganguly, S., Gao, F., Gao, S., Garcia-Gamez, D., García-Peris, M. Á., Gardim, F., Gardiner, S., Gastler, D., Gauch, A., Gauvreau, J., Gauzzi, P., Ge, G., Geffroy, N., Gelli, B., Gent, S., Gerlach, L., Ghorbani-Moghaddam, Z., Giammaria, P., Giammaria, T., Gibin, D., Gil-Botella, I., Gilligan, S., Gioiosa, A., Giovannella, S., Girerd, C., Giri, A. K., Giugliano, C., Giusti, V., Gnani, D., Gogota, O., Gollapinni, S., Gollwitzer, K., Gomes, R. A., Bermeo, L. V. Gomez, Fajardo, L. S. Gomez, Gonnella, F., Gonzalez-Diaz, D., Gonzalez-Lopez, M., Goodman, M. C., Goswami, S., Gotti, C., Goudeau, J., Goudzovski, E., Grace, C., Gramellini, E., Gran, R., Granados, E., Granger, P., Grant, C., Gratieri, D. R., Grauso, G., Green, P., Greenberg, S., Greer, J., Griffith, W. C., Groetschla, F. T., Grzelak, K., Gu, W., Guarino, V., Guarise, M., Guenette, R., Guerard, E., Guerzoni, M., Guffanti, D., Guglielmi, A., Guo, B., Guo, Y., Gupta, A., Gupta, V., Gurung, G., Gutierrez, D., Guzowski, P., Guzzo, M. M., Gwon, S., Haaf, K., Habig, A., Hadavand, H., Haenni, R., Hagaman, L., Hahn, A., Haiston, J., Hakenmueller, J., Hamernik, T., Hamilton, P., Hancock, J., Happacher, F., Harris, D. A., Hartnell, J., Hartnett, T., Harton, J., Hasegawa, T., Hasnip, C., Hatcher, R., Hayrapetyan, K., Hays, J., Hazen, E., He, M., Heavey, A., Heeger, K. M., Heise, J., Henry, S., Morquecho, M. A. Hernandez, Herner, K., Hewes, V., Higuera, A., Hilgenberg, C., Hillier, S. J., Himmel, A., Hinkle, E., Hirsch, L. R., Ho, J., Hoff, J., Holin, A., Holvey, T., Hoppe, E., Horton-Smith, G. A., Hostert, M., Houdy, T., Howard, B., Howell, R., Hristova, I., Hronek, M. S., Huang, J., Huang, R. G., Hulcher, Z., Ibrahim, M., Iles, G., Ilic, N., Iliescu, A. M., Illingworth, R., Ingratta, G., Ioannisian, A., Irwin, B., Isenhower, L., Oliveira, M. Ismerio, Itay, R., Jackson, C. M., Jain, V., James, E., Jang, W., Jargowsky, B., Jena, D., Ji, X., Jiang, C., Jiang, J., Jiang, L., Jipa, A., Joaquim, F. R., Johnson, W., Jones, B., Jones, R., Fernández, D. José, Jovancevic, N., Judah, M., Jung, C. K., Junk, T., Jwa, Y., Kabirnezhad, M., Kaboth, A. C., Kadenko, I., Kakorin, I., Kalitkina, A., Kalra, D., Kamiya, F., Kandemir, M., Kaplan, D. M., Karagiorgi, G., Karaman, G., Karcher, A., Karyotakis, Y., Kasai, S., Kasetti, S. P., Kashur, L., Katsioulas, I., Kauther, A., Kazaryan, N., Ke, L., Kearns, E., Keener, P. T., Kelly, K. J., Kemp, E., Kemularia, O., Kermaidic, Y., Ketchum, W., Kettell, S. H., Khabibullin, M., Khan, N., Khvedelidze, A., Kim, D., Kim, J., King, B., Kirby, B., Kirby, M., Klein, J., Kleykamp, J., Klustova, A., Kobilarcik, T., Koch, L., Koehler, K., Koerner, L. W., Koh, D. H., Kolupaeva, L., Korablev, D., Kordosky, M., Kosc, T., Kose, U., Kostelecký, V. A., Kothekar, K., Kotler, I., Kovalcuk, M., Kozhukalov, V., Krah, W., Kralik, R., Kramer, M., Kreczko, L., Krennrich, F., Kreslo, I., Kroupova, T., Kubota, S., Kubu, M., Kudenko, Y., Kudryavtsev, V. A., Kuhlmann, S., Kumar, J., Kumar, P., Kumaran, S., Kunze, P., Kunzmann, J., Kuravi, R., Kurita, N., Kuruppu, C., Kus, V., Kutter, T., Kvasnicka, J., Labree, T., Lackey, T., Lambert, A., Land, B. J., Lane, C. E., Lane, N., Lang, K., Langford, T., Langstaff, M., Lanni, F., Lantwin, O., Larkin, J., Lasorak, P., Last, D., Laudrain, A., Laundrie, A., Laurenti, G., Lavaut, E., Lawrence, A., Laycock, P., Lazanu, I., Lazzaroni, M., Le, T., Leardini, S., Learned, J., LeCompte, T., Lee, C., Legin, V., Miotto, G. Lehmann, Lehnert, R., de Oliveira, M. A. Leigui, Leitner, M., Silverio, D. Leon, Lepin, L. M., Li, J. -Y., Li, S. W., Li, Y., Liao, H., Lin, C. S., Lindebaum, D., Lineros, R. A., Ling, J., Lister, A., Littlejohn, B. R., Liu, H., Liu, J., Liu, Y., Lockwitz, S., Lokajicek, M., Lomidze, I., Long, K., Lopes, T. V., Lopez, J., de Rego, I. López, March, N. López, Lord, T., LoSecco, J. M., Louis, W. C., Sanchez, A. Lozano, Lu, X. -G., Luk, K. B., Lunday, B., Luo, X., Luppi, E., Maalmi, J., MacFarlane, D., Machado, A. A., Machado, P., Macias, C. T., Macier, J. R., MacMahon, M., Maddalena, A., Madera, A., Madigan, P., Magill, S., Magueur, C., Mahn, K., Maio, A., Major, A., Majumdar, K., Man, M., Mandujano, R. C., Maneira, J., Manly, S., Mann, A., Manolopoulos, K., Plata, M. Manrique, Corchado, S. Manthey, Manyam, V. N., Marchan, M., Marchionni, A., Marciano, W., Marfatia, D., Mariani, C., Maricic, J., Marinho, F., Marino, A. D., Markiewicz, T., Marques, F. Das Chagas, Marsden, D., Marshak, M., Marshall, C. M., Marshall, J., Martín-Albo, J., Martinez, N., Caicedo, D. A. Martinez, López, F. Martínez, Miravé, P. Martínez, Martynenko, S., Mascagna, V., Massari, C., Mastbaum, A., Matichard, F., Matsuno, S., Matteucci, G., Matthews, J., Mauger, C., Mauri, N., Mavrokoridis, K., Mawby, I., Mazza, R., Mazzacane, A., McAskill, T., McConkey, N., McFarland, K. S., McGrew, C., McNab, A., Meazza, L., Meddage, V. C. N., Mehta, B., Mehta, P., Melas, P., Mena, O., Mendez, H., Mendez, P., Méndez, D. P., Menegolli, A., Meng, G., Messier, M. D., Metallo, S., Metcalf, J., Metcalf, W., Mewes, M., Meyer, H., Miao, T., Miccoli, A., Michna, G., Mikola, V., Milincic, R., Miller, G., Miller, W., Mineev, O., Minotti, A., Miralles, L., Miranda, O. G., Mironov, C., Miryala, S., Miscetti, S., Mishra, C. S., Mishra, S. R., Mislivec, A., Mitchell, M., Mladenov, D., Mocioiu, I., Mogan, A., Moggi, N., Mohanta, R., Mohayai, T. A., Mokhov, N., Molina, J., Bueno, L. Molina, Montagna, E., Montanari, A., Montanari, C., Montanari, D., Montanino, D., Zetina, L. M. Montaño, Mooney, M., Moor, A. F., Moore, Z., Moreno, D., Moreno-Palacios, O., Morescalchi, L., Moretti, D., Moretti, R., Morris, C., Mossey, C., Mote, M., Moura, C. A., Mouster, G., Mu, W., Mualem, L., Mueller, J., Muether, M., Muheim, F., Muir, A., Mulhearn, M., Munford, D., Munteanu, L. J., Muramatsu, H., Muraz, J., Murphy, M., Murphy, T., Muse, J., Mytilinaki, A., Nachtman, J., Nagai, Y., Nagu, S., Nalbandyan, M., Nandakumar, R., Naples, D., Narita, S., Nath, A., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nehm, A., Nelson, J. K., Neogi, O., Nesbit, J., Nessi, M., Newbold, D., Newcomer, M., Nichol, R., Nicolas-Arnaldos, F., Nikolica, A., Nikolov, J., Niner, E., Nishimura, K., Norman, A., Norrick, A., Novella, P., Nowak, J. A., Oberling, M., Ochoa-Ricoux, J. P., Oh, S., Oh, S. B., Olivier, A., Olshevskiy, A., Olson, T., Onel, Y., Onishchuk, Y., Oranday, A., Osbiston, M., Vélez, J. A. Osorio, Ormachea, L. Otiniano, Ott, J., Pagani, L., Palacio, G., Palamara, O., Palestini, S., Paley, J. M., Pallavicini, M., Palomares, C., Pan, S., Panda, P., Vazquez, W. Panduro, Pantic, E., Paolone, V., Papadimitriou, V., Papaleo, R., Papanestis, A., Papoulias, D., Paramesvaran, S., Paris, A., Parke, S., Parozzi, E., Parsa, S., Parsa, Z., Parveen, S., Parvu, M., Pasciuto, D., Pascoli, S., Pasqualini, L., Pasternak, J., Patrick, C., Patrizii, L., Patterson, R. B., Patzak, T., Paudel, A., Paulucci, L., Pavlovic, Z., Pawloski, G., Payne, D., Pec, V., Pedreschi, E., Peeters, S. J. M., Perez, A. Pena, Pennacchio, E., Penzo, A., Peres, O. L. G., Gonzalez, Y. F. Perez, Pérez-Molina, L., Pernas, C., Perry, J., Pershey, D., Pessina, G., Petrillo, G., Petta, C., Petti, R., Pia, V., Pickering, L., Pietropaolo, F., Pimentel, V. L., Pinaroli, G., Pinchault, J., Plows, K., Plunkett, R., Pollack, C., Pollman, T., Pompa, F., Pons, X., Poonthottathil, N., Poppi, F., Pordes, S., Porter, J., Potekhin, M., Potenza, R., Pozimski, J., Pozzato, M., Prakash, S., Prakash, T., Pratt, C., Prest, M., Psihas, F., Pugnere, D., Qian, X., Raaf, J. L., Radeka, V., Rademacker, J., Radics, B., Rafique, A., Raguzin, E., Rai, M., Rajaoalisoa, M., Rakhno, I., Rakotondravohitra, L., Ralte, L., Delgado, M. A. Ramirez, Ramson, B., Rappoldi, A., Raselli, G., Ratoff, P., Ray, R., Razafinime, H., Rea, E. M., Real, J. S., Rebel, B., Rechenmacher, R., Reggiani-Guzzo, M., Reichenbacher, J., Reitzner, S. D., Sfar, H. Rejeb, Renner, E., Renshaw, A., Rescia, S., Resnati, F., Restrepo, D., Reynolds, C., Ribas, M., Riboldi, S., Riccio, C., Riccobene, G., Ricol, J. S., Rigan, M., Rincón, E. V., Ritchie-Yates, A., Ritter, S., Rivera, D., Rivera, R., Robert, A., Rocha, J. L. Rocabado, Rochester, L., Roda, M., Rodrigues, P., Alonso, M. J. Rodriguez, Rondon, J. Rodriguez, Rosauro-Alcaraz, S., Rosier, P., Ross, D., Rossella, M., Rossi, M., Ross-Lonergan, M., Roy, N., Roy, P., Rubbia, C., Ruggeri, A., Ferreira, G. Ruiz, Russell, B., Ruterbories, D., Rybnikov, A., Saa-Hernandez, A., Saakyan, R., Sacerdoti, S., Sahoo, S. K., Sahu, N., Sala, P., Samios, N., Samoylov, O., Sanchez, M. C., Bravo, A. Sánchez, Sanchez-Lucas, P., Sandberg, V., Sanders, D. A., Sankey, D., Santoro, D., Saoulidou, N., Sapienza, P., Sarasty, C., Sarcevic, I., Sarra, I., Savage, G., Savinov, V., Scanavini, G., Scaramelli, A., Scarff, A., Schefke, T., Schellman, H., Schifano, S., Schlabach, P., Schmitz, D., Schneider, A. W., Scholberg, K., Schukraft, A., Schuld, B., Segreto, E., Selyunin, A., Senise, C. R., Sensenig, J., Shaevitz, M. H., Shanahan, P., Sharma, P., Kumar, R., Shaw, K., Shaw, T., Shchablo, K., Shepherd-Themistocleous, C., Sheshukov, A., Shi, W., Shin, S., Shivakoti, S., Shoemaker, I., Shooltz, D., Shrock, R., Siddi, B., Silber, J., Simard, L., Sinclair, J., Sinev, G., Singh, Jaydip, Singh, J., Singh, L., Singh, P., Singh, V., Chauhan, S. Singh, Sipos, R., Sironneau, C., Sirri, G., Siyeon, K., Skarpaas, K., Smedley, J., Smith, E., Smith, J., Smith, P., Smolik, J., Smy, M., Snape, M., Snider, E. L., Snopok, P., Snowden-Ifft, D., Nunes, M. Soares, Sobel, H., Soderberg, M., Sokolov, S., Salinas, C. J. Solano, Söldner-Rembold, S., Soleti, S. R., Solomey, N., Solovov, V., Sondheim, W. E., Sorel, M., Sotnikov, A., Soto-Oton, J., Sousa, A., Soustruznik, K., Spinella, F., Spitz, J., Spooner, N. J. C., Spurgeon, K., Stalder, D., Stancari, M., Stanco, L., Steenis, J., Stein, R., Steiner, H. M., Lisbôa, A. F. Steklain, Stepanova, A., Stewart, J., Stillwell, B., Stock, J., Stocker, F., Stokes, T., Strait, M., Strauss, T., Strigari, L., Stuart, A., Suarez, J. G., Subash, J., Surdo, A., Suter, L., Sutera, C. M., Sutton, K., Suvorov, Y., Svoboda, R., Swain, S. K., Szczerbinska, B., Szelc, A. M., Sztuc, A., Taffara, A., Talukdar, N., Tamara, J., Tanaka, H. A., Tang, S., Taniuchi, N., Casanova, A. M. Tapia, Oregui, B. Tapia, Tapper, A., Tariq, S., Tarpara, E., Tatar, E., Tayloe, R., Tedeschi, D., Teklu, A. M., Vidal, J. Tena, Tennessen, P., Tenti, M., Terao, K., Terranova, F., Testera, G., Thakore, T., Thea, A., Thiebault, A., Thompson, A., Thorn, C., Timm, S. C., Tiras, E., Tishchenko, V., Todorović, N., Tomassetti, L., Tonazzo, A., Torbunov, D., Torti, M., Tortola, M., Tortorici, F., Tosi, N., Totani, D., Toups, M., Touramanis, C., Tran, D., Travaglini, R., Trevor, J., Triller, E., Trilov, S., Truncali, D., Trzaska, W. H., Tsai, Y., Tsai, Y. -T., Tsamalaidze, Z., Tsang, K. V., Tsverava, N., Tu, S. Z., Tufanli, S., Turner, J., Tuzi, M., Tyler, J., Tyley, E., Tzanov, M., Uchida, M. A., González, J. Ureña, Urheim, J., Usher, T., Utaegbulam, H., Uzunyan, S., Vagins, M. R., Vahle, P., Valder, S., Valdiviesso, G. A., Valencia, E., Valentim, R., Vallari, Z., Vallazza, E., Valle, J. W. F., Van Berg, R., Van de Water, R. G., Forero, D. V., Van Nuland-Troost, M., Varanini, F., Oliva, D. Vargas, Varner, G., Vasina, S., Vaughan, N., Vaziri, K., Vega, J., Ventura, S., Verdugo, A., Vergani, S., Verzocchi, M., Vetter, K., Vicenzi, M., de Souza, H. Vieira, Vignoli, C., Villa, E., Viren, B., Vizcaya-Hernandez, A., Vrba, T., Vuong, Q., Waldron, A. V., Wallbank, M., Walsh, J., Walton, T., Wang, H., Wang, J., Wang, L., Wang, M. H. L. S., Wang, X., Wang, Y., Warburton, K., Warner, D., Warsame, L., Wascko, M. O., Waters, D., Watson, A., Wawrowska, K., Weber, A., Weber, M., Wei, H., Weinstein, A., Wenzel, H., Westerdale, S., Wetstein, M., Whalen, K., Whilhelmi, J., White, A., Whitehead, L. H., Whittington, D., Wilking, M. J., Wilkinson, A., Wilkinson, C., Wilson, F., Wilson, R. J., Winter, P., Wisniewski, W., Wolcott, J., Wolfs, J., Wongjirad, T., Wood, A., Wood, K., Worcester, E., Worcester, M., Wospakrik, M., Wresilo, K., Wret, C., Wu, S., Wu, W., Wurm, M., Wyenberg, J., Xiao, Y., Xiotidis, I., Yaeggy, B., Yahlali, N., Yandel, E., Yang, K., Yang, T., Yankelevich, A., Yershov, N., Yonehara, K., Young, T., Yu, B., Yu, H., Yu, J., Yu, Y., Yuan, W., Zaki, R., Zalesak, J., Zambelli, L., Zamorano, B., Zani, A., Zapata, O., Zazueta, L., Zeller, G. P., Zennamo, J., Zeug, K., Zhang, C., Zhang, S., Zhao, M., Zhivun, E., Zimmerman, E. D., Zucchelli, S., Zuklin, J., Zutshi, V., and Zwaska, R.
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Physics - Instrumentation and Detectors - Abstract
Doping of liquid argon TPCs (LArTPCs) with a small concentration of xenon is a technique for light-shifting and facilitates the detection of the liquid argon scintillation light. In this paper, we present the results of the first doping test ever performed in a kiloton-scale LArTPC. From February to May 2020, we carried out this special run in the single-phase DUNE Far Detector prototype (ProtoDUNE-SP) at CERN, featuring 720 t of total liquid argon mass with 410 t of fiducial mass. A 5.4 ppm nitrogen contamination was present during the xenon doping campaign. The goal of the run was to measure the light and charge response of the detector to the addition of xenon, up to a concentration of 18.8 ppm. The main purpose was to test the possibility for reduction of non-uniformities in light collection, caused by deployment of photon detectors only within the anode planes. Light collection was analysed as a function of the xenon concentration, by using the pre-existing photon detection system (PDS) of ProtoDUNE-SP and an additional smaller set-up installed specifically for this run. In this paper we first summarize our current understanding of the argon-xenon energy transfer process and the impact of the presence of nitrogen in argon with and without xenon dopant. We then describe the key elements of ProtoDUNE-SP and the injection method deployed. Two dedicated photon detectors were able to collect the light produced by xenon and the total light. The ratio of these components was measured to be about 0.65 as 18.8 ppm of xenon were injected. We performed studies of the collection efficiency as a function of the distance between tracks and light detectors, demonstrating enhanced uniformity of response for the anode-mounted PDS. We also show that xenon doping can substantially recover light losses due to contamination of the liquid argon by nitrogen., Comment: 36 pages, 20 figures. Corrected author list; corrected typos across paper and polished text
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- 2024
78. Synchronize your \textit{chrono-brane}: Testing a variable brane tension model with strong gravitational lensing
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Verdugo, Tomás, Amante, Mario H., Magaña, Juan, García-Aspeitia, Miguel A., Hernández-Almada, Alberto, and Motta, Verónica
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Astrophysics - Cosmology and Nongalactic Astrophysics ,General Relativity and Quantum Cosmology - Abstract
Brane world models have shown to be promising to understand the late cosmic acceleration, in particular because such acceleration can be naturally derived, mimicking the dark energy behaviour just with a five dimensional geometry. In this paper we present a strong lensing joint analysis using a compilation of early-type galaxies acting as a lenses, united with the power of the well studied strong lensing galaxy cluster Abell\,1689. We use the strong lensing constraints to investigate a brane model with variable brane tension as a function of the redshift. In our joint analysis we found a value $n = 7.8^{+0.9}_{-0.5}$, for the exponent related to the brane tension, showing that $n$ deviates from a Cosmological Constant (CC) scenario (n=6). We obtain a value for the deceleration parameter, $q(z)$ today, $q(0)=-1.2^{+0.6}_{-0.8}$, and a transition redshift, $z_t=0.60\pm0.06$ (when the Universe change from an decelerated phase to an accelerated one). These results are in contrast with previous work that favors CC scenario, nevertheless our lensing analysis is in agreement with a formerly reported conclusion suggesting that the variable brane tension model is able to source a late cosmic acceleration without an extra fluid as in the standard one., Comment: ACCEPTED TO BE PUBLISHED IN THE EUROPEAN PHYSICAL JOURNAL C
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- 2024
79. Lyapunov Exponents of Linear Switched Systems
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Agrachev, Andrei A. and Motta, Michele
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Mathematics - Optimization and Control ,Mathematics - Dynamical Systems - Abstract
We explicitly compute the maximal Lyapunov exponent for a switched system on $\mathrm{SL}_2(\mathbb R)$. This computation is reduced to the characterization of optimal trajectories for an optimal control problem on the Lie group.
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- 2023
80. Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
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Alexeev, Yuri, Amsler, Maximilian, Baity, Paul, Barroca, Marco Antonio, Bassini, Sanzio, Battelle, Torey, Camps, Daan, Casanova, David, Choi, Young Jai, Chong, Frederic T., Chung, Charles, Codella, Chris, Corcoles, Antonio D., Cruise, James, Di Meglio, Alberto, Dubois, Jonathan, Duran, Ivan, Eckl, Thomas, Economou, Sophia, Eidenbenz, Stephan, Elmegreen, Bruce, Fare, Clyde, Faro, Ismael, Fernández, Cristina Sanz, Ferreira, Rodrigo Neumann Barros, Fuji, Keisuke, Fuller, Bryce, Gagliardi, Laura, Galli, Giulia, Glick, Jennifer R., Gobbi, Isacco, Gokhale, Pranav, Gonzalez, Salvador de la Puente, Greiner, Johannes, Gropp, Bill, Grossi, Michele, Gull, Emanuel, Healy, Burns, Huang, Benchen, Humble, Travis S., Ito, Nobuyasu, Izmaylov, Artur F., Javadi-Abhari, Ali, Jennewein, Douglas, Jha, Shantenu, Jiang, Liang, Jones, Barbara, de Jong, Wibe Albert, Jurcevic, Petar, Kirby, William, Kister, Stefan, Kitagawa, Masahiro, Klassen, Joel, Klymko, Katherine, Koh, Kwangwon, Kondo, Masaaki, Kurkcuoglu, Doga Murat, Kurowski, Krzysztof, Laino, Teodoro, Landfield, Ryan, Leininger, Matt, Leyton-Ortega, Vicente, Li, Ang, Lin, Meifeng, Liu, Junyu, Lorente, Nicolas, Luckow, Andre, Martiel, Simon, Martin-Fernandez, Francisco, Martonosi, Margaret, Marvinney, Claire, Medina, Arcesio Castaneda, Merten, Dirk, Mezzacapo, Antonio, Michielsen, Kristel, Mitra, Abhishek, Mittal, Tushar, Moon, Kyungsun, Moore, Joel, Motta, Mario, Na, Young-Hye, Nam, Yunseong, Narang, Prineha, Ohnishi, Yu-ya, Ottaviani, Daniele, Otten, Matthew, Pakin, Scott, Pascuzzi, Vincent R., Penault, Ed, Piontek, Tomasz, Pitera, Jed, Rall, Patrick, Ravi, Gokul Subramanian, Robertson, Niall, Rossi, Matteo, Rydlichowski, Piotr, Ryu, Hoon, Samsonidze, Georgy, Sato, Mitsuhisa, Saurabh, Nishant, Sharma, Vidushi, Sharma, Kunal, Shin, Soyoung, Slessman, George, Steiner, Mathias, Sitdikov, Iskandar, Suh, In-Saeng, Switzer, Eric, Tang, Wei, Thompson, Joel, Todo, Synge, Tran, Minh, Trenev, Dimitar, Trott, Christian, Tseng, Huan-Hsin, Tureci, Esin, Valinas, David García, Vallecorsa, Sofia, Wever, Christopher, Wojciechowski, Konrad, Wu, Xiaodi, Yoo, Shinjae, Yoshioka, Nobuyuki, Yu, Victor Wen-zhe, Yunoki, Seiji, Zhuk, Sergiy, and Zubarev, Dmitry
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Quantum Physics ,Condensed Matter - Materials Science - Abstract
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their simulation, analysis, and data resources. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions., Comment: 65 pages, 15 figures; comments welcome
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- 2023
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81. The DUNE Far Detector Vertical Drift Technology, Technical Design Report
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DUNE Collaboration, Abud, A. Abed, Abi, B., Acciarri, R., Acero, M. A., Adames, M. R., Adamov, G., Adamowski, M., Adams, D., Adinolfi, M., Adriano, C., Aduszkiewicz, A., Aguilar, J., Aimard, B., Akbar, F., Allison, K., Monsalve, S. Alonso, Alrashed, M., Alton, A., Alvarez, R., Amar, H., Amedo, P., Anderson, J., Andrade, D. A., Andreopoulos, C., Andreotti, M., Andrews, M. P., Andrianala, F., Andringa, S., Anfimov, N., Ankowski, A., Antoniassi, M., Antonova, M., Antoshkin, A., Aranda-Fernandez, A., Arellano, L., Diaz, E. Arrieta, Arroyave, M. A., Asaadi, J., Ashkenazi, A., Asquith, L., Atkin, E., Auguste, D., Aurisano, A., Aushev, V., Autiero, D., Azfar, F., Back, A., Back, H., Back, J. J., Bagaturia, I., Bagby, L., Balashov, N., Balasubramanian, S., Baldi, P., Baldini, W., Baller, B., Bambah, B., Banerjee, R., Barao, F., Barenboim, G., Alzás, P. Barham, Barker, G. J., Barkhouse, W., Barr, G., Monarca, J. Barranco, Barros, A., Barros, N., Barrow, D., Barrow, J. L., Basharina-Freshville, A., Bashyal, A., Basque, V., Batchelor, C., Bathe-Peters, L., Battat, J. B. R., Battisti, F., Bay, F., Bazetto, M. C. Q., Alba, J. L. L. Bazo, Beacom, J. F., Bechetoille, E., Behera, B., Belchior, E., Bell, G., Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Benekos, N., Montiel, C. Benitez, Benjamin, D., Neves, F. Bento, Berger, J., Berkman, S., Bernardini, P., Bersani, A., Bertolucci, S., Betancourt, M., Rodríguez, A. Betancur, Bevan, A., Bezawada, Y., Bezerra, A. T., Bezerra, T. J., Bhat, A., Bhatnagar, V., Bhatt, J., Bhattacharjee, M., Bhattacharya, M., Bhuller, S., Bhuyan, B., Biagi, S., Bian, J., Biery, K., Bilki, B., Bishai, M., Bitadze, A., Blake, A., Blaszczyk, F. D., Blazey, G. C., Blucher, E., Boissevain, J., Bolognesi, S., Bolton, T., Bomben, L., Bonesini, M., Bonilla-Diaz, C., Bonini, F., Booth, A., Boran, F., Bordoni, S., Merlo, R. Borges, Borkum, A., Bostan, N., Bracinik, J., Braga, D., Brahma, B., Brailsford, D., Bramati, F., Branca, A., Brandt, A., Bremer, J., Brew, C., Brice, S. J., Brio, V., Brizzolari, C., Bromberg, C., Brooke, J., Bross, A., Brunetti, G., Brunetti, M., Buchanan, N., Budd, H., Buergi, J., Burgardt, D., Butchart, S., V., G. Caceres, Cagnoli, I., Cai, T., Calabrese, R., Calcutt, J., Calin, M., Calivers, L., Calvo, E., Caminata, A., Campanelli, W., Benitez, A. Campos, Canci, N., Capó, J., Caracas, I., Caratelli, D., Carber, D., Carceller, J. M., Carini, G., Carlus, B., Carneiro, M. F., Carniti, P., Terrazas, I. Caro, Carranza, H., Carrara, N., Carroll, L., Carroll, T., Carter, A., Casazza, D., Forero, J. F. Castaño, Castaño, F. A., Castillo, A., Castromonte, C., Catano-Mur, E., Cattadori, C., Cavalier, F., Cavanna, F., Centro, S., Cerati, G., Cervelli, A., Villanueva, A. Cervera, Chakraborty, K., Chalifour, M., Chappell, A., Charitonidis, N., Chatterjee, A., Chen, H., Chen, M., Chen, W. C., Chen, Y., Chen-Wishart, Z., Cherdack, D., Chi, C., Chirco, R., Chitirasreemadam, N., Cho, K., Choate, S., Chokheli, D., Chong, P. S., Chowdhury, B., Christian, D., Chukanov, A., Chung, M., Church, E., Cicala, M. F., Cicerchia, M., Cicero, V., Ciolini, R., Clair, J., Clarke, P., Cline, G., Coan, T. E., Cocco, A. G., Coelho, J. A. B., Cohen, A., Collot, J., Conley, E., Conrad, J. M., Convery, M., Cooke, P., Copello, S., Cova, P., Cox, C., Cremaldi, L., Cremonesi, L., Crespo-Anadón, J. I., Crisler, M., Cristaldo, E., Crnkovic, J., Crone, G., Cross, R., Cudd, A., Cuesta, C., Cui, Y., Cussans, D., Dai, J., Dalager, O., Dallavalle, R., da Motta, H., Dar, Z. A., Darby, R., Peres, L. Da Silva, David, Q., Davies, G. S., Davini, S., Dawson, J., De Aguiar, R., De Almeida, P., Debbins, P., De Bonis, I., Decowski, M. P., de Gouvêa, A., De Holanda, P. C., Astiz, I. L. De Icaza, De Jong, P., De la Torre, A., Delbart, A., Delepine, D., Delgado, M., Dell'Acqua, A., Monache, G. 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J., Muramatsu, H., Muraz, J., Murphy, M., Murphy, T., Muse, J., Mytilinaki, A., Nachtman, J., Nagai, Y., Nagu, S., Nalbandyan, M., Nandakumar, R., Naples, D., Narita, S., Nath, A., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nehm, A., Nelson, J. K., Neogi, O., Nesbit, J., Nessi, M., Newbold, D., Newcomer, M., Nichol, R., Nicolas-Arnaldos, F., Nikolica, A., Nikolov, J., Niner, E., Nishimura, K., Norman, A., Norrick, A., Novella, P., Nowak, J. A., Oberling, M., Ochoa-Ricoux, J. P., Oh, S., Oh, S. B., Olivier, A., Olshevskiy, A., Olson, T., Onel, Y., Onishchuk, Y., Oranday, A., Osbiston, M., Vélez, J. A. Osorio, Ormachea, L. Otiniano, Ott, J., Pagani, L., Palacio, G., Palamara, O., Palestini, S., Paley, J. M., Pallavicini, M., Palomares, C., Pan, S., Panda, P., Vazquez, W. 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- Subjects
High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
DUNE is an international experiment dedicated to addressing some of the questions at the forefront of particle physics and astrophysics, including the mystifying preponderance of matter over antimatter in the early universe. The dual-site experiment will employ an intense neutrino beam focused on a near and a far detector as it aims to determine the neutrino mass hierarchy and to make high-precision measurements of the PMNS matrix parameters, including the CP-violating phase. It will also stand ready to observe supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector implements liquid argon time-projection chamber (LArTPC) technology, and combines the many tens-of-kiloton fiducial mass necessary for rare event searches with the sub-centimeter spatial resolution required to image those events with high precision. The addition of a photon detection system enhances physics capabilities for all DUNE physics drivers and opens prospects for further physics explorations. Given its size, the far detector will be implemented as a set of modules, with LArTPC designs that differ from one another as newer technologies arise. In the vertical drift LArTPC design, a horizontal cathode bisects the detector, creating two stacked drift volumes in which ionization charges drift towards anodes at either the top or bottom. The anodes are composed of perforated PCB layers with conductive strips, enabling reconstruction in 3D. Light-trap-style photon detection modules are placed both on the cryostat's side walls and on the central cathode where they are optically powered. This Technical Design Report describes in detail the technical implementations of each subsystem of this LArTPC that, together with the other far detector modules and the near detector, will enable DUNE to achieve its physics goals., Comment: 425 pages; 281 figures Central editing team: A. Heavey, S. Kettell, A. Marchionni, S. Palestini, S. Rajogopalan, R. J. Wilson
- Published
- 2023
82. Microlensing of strongly lensed quasars
- Author
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Vernardos, G., Sluse, D., Pooley, D., Schmidt, R. W., Millon, M., Weisenbach, L., Motta, V., Anguita, T., Saha, P., O'Dowd, M., Peel, A., and Schechter, P. L.
- Subjects
Astrophysics - Astrophysics of Galaxies - Abstract
Strong gravitational lensing of quasars has the potential to unlock the poorly understood physics of these fascinating objects, as well as serve as a probe of the lensing mass distribution and of cosmological parameters. In particular, gravitational microlensing by compact bodies in the lensing galaxy can enable mapping of quasar structure to $\lt 10^{-6}$ arcsec scales. Some of this potential has been realized over the past few decades, however the upcoming era of large sky surveys promises to bring this to full fruition. Here we review the theoretical framework of this field, describe the prominent current methods for parameter inference from quasar microlensing data across different observing modalities, and discuss the constraints so far derived on the geometry and physics of quasar inner structure. We also review the application of strong lensing and microlensing to constraining the granularity of the lens potential, i.e. the contribution of the baryonic and dark matter components, and the local mass distribution in the lens, i.e. the stellar mass function. Finally, we discuss the future of the field, including the new possibilities that will be opened by the next generation of large surveys and by new analysis methods now being developed., Comment: To be submitted to Space Science Reviews, Topical Collection "Strong Gravitational Lensing", eds. J. Wambsganss et al
- Published
- 2023
83. THE BENEFITS OF FMEA IN IMPROVING THE INDUSTRIAL PROCESS OF A CABIN AIR CARRIER
- Author
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José Salvador da Motta Reis, Dayana Elizabeth Werderits Silva, Nilo Antonio de Souza Sampaio, José Glenio Medeiros de Barros, Gilberto Santos, and Luís César Ferreira Motta Barbosa
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quality management ,fmea ,six sigma ,pdca ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
This paper aims to present improvement actions to reduce the failure risk of a new vehicle cabin air transporter developed in an automotive plant in the Sul Fluminense region by applying the Failure Modes and Effect Analysis (FMEA) tool. This analysis method enables the equipment to reduce some existing problems. Thus, it was possible to increase the demand for vehicles, expected by the end of the year 2018. For this purpose, a team was formed with employees from the main areas involved who raised the main failure modes of the equipment through the brainstorming technique. The FMEA worksheet was filled using the severity, occurrence, and detection classification tables to calculate the Risk Priority Number (RPR). Then, it was suggested to apply the technique with the necessary improvement actions for the failure modes, broken down in a 5W1H worksheet. In a conclusion, the importance of applying the FMEA before acquiring new equipment was demonstrated, avoiding waste, and guaranteeing the company's efficiency.
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- 2024
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84. Approaches for the diagnosis and treatment of VEXAS syndrome: the importance of clinical suspicion and the use of methotrexate
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De Santis, Maria, Tonutti, Antonio, Motta, Francesca, Todisco, Gabriele, Manes, Nicla, Milanesi, Chiara, Caselli, Rossella, Albertazzi, Serena, Bonometti, Arturo, Selmi, Carlo, and Della Porta, Matteo Giovanni
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- 2024
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85. Use of drug-coated balloons in the percutaneous treatment of arteriovenous fistula stenosis has a time-dependent effect: a retrospective analysis from one dialysis center
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Morganti, Claudia, Di Motta, Tommaso, Andreone, Andrea, Bedogni, Stella, Alibrandi, Sara, Benigno, Giuseppe, Paladini, Ilaria, Epifani, Enrico, Fiaccadori, Enrico, and Maggiore, Umberto
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- 2024
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86. ESTUDO SOBRE A INSER O NO MERCADO DE TRABALHO DOS BOLSISTAS DE MESTRADO PROFISSIONAL BRASILEIROS, UTILIZANDO O PROGRAMA CI NCIA SEM FRONTEIRAS NOS EUA/STUDY ON THE INSERTION INTO THE LABOR MARKET OF BRAZILIAN PROFESSIONAL MASTER'S SCHOLARSHIP HOLDERS, USING THE SCIENCE WITHOUT BORDERS PROGRAM IN THE USA/ESTUDIO SOBRE LA INSERCI N EN EL MERCADO LABORAL DE BECAS DE MAESTR A PROFESIONAL BRASILE A, UTILIZANDO EL PROGRAMA CI NCIA SEM FRONTEIRAS EN EE.UU
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Carvalho, Valeria Cristina Lima, Cardoso, Manoel Santana, and Sarmento, Alexandre Guilherme Motta
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- 2024
87. Allophoma brasiliensis J.L.V.R. Carvalho, J.D.P. Bezerra & Souza-Motta (Didymellaceae, Pleosporales): first occurrence in an agricultural site from Brazilian Atlantic Forest
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Oliveira, Thays G.L., Silva, Rejane M.F., Machado, Alexandre R., Magalhaes, Oliane M.C., Costa, Antonio F., Souza-Motta, Cristina M., and Silva, Gladstone A.
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- 2024
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88. Oral T-cell-rich large B-cell lymphoma in a horse
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Peretti, Jéssica Cristina, dos Santos, Aline Bielak, Davi dos Santos, Ezequiel, Machado, Tanise Policarpo, Pescador, Caroline Argenta, Quillas, Luis Jhordy Alfaro, Milani, Vanessa Marostega, Picetti, Taline Scalco, and da Motta, Adriana Costa
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- 2024
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89. Cardiac parasympathetic reactivation after a high-intensity intermittent effort in water polo players: impact of swimming endurance performance status
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Brisola, Gabriel Motta Pinheiro, Gomes, Vinicius Garcia, Dutra, Yago Medeiros, Botonis, Petros G., and Zagatto, Alessandro Moura
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- 2024
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90. Depth, hard coral, and turf cover as predictors of micro-scale spatial distribution of fishes in a subtropical rocky reef
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Rodrigues, Thiago E., Giglio, Vinícius J., Gibran, Fernando Z., Rolim, Fernanda A., Neves, Leonardo M., Pereira-Filho, Guilherme Henrique, Shintate, Gustavo, Souza, Gabriel R. S., Garrone-Neto, Domingos, and Motta, Fabio S.
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- 2024
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91. Trattamento con le onde d’urto nella disfunzione erettile
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Marinelli, Lorenzo, Cagnina, Serena, Bichiri, Andreina, Castella, Lorenzo, Ledda, Francesca, Di Bisceglie, Cataldo, and Motta, Giovanna
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- 2024
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92. Dynamics of Fe, Mn, and potentially harmful elements under reducing conditions in iron ore tailings after dam collapse in the Doce River basin—Brazil: flooded and non-flooded rice cultivations
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Lipski, Bernardo, de Pierri, Letícia, Motta, Antônio Carlos Vargas, Melo, Vander Freitas, Ercole, Tamires Maiara, Lima, Maria Fernanda Dames Santos, Bastos, Leonardo Pussieldi, and Corrêa, Rodrigo Studart
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- 2024
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93. Further evidence supporting the role of GTDC1 in glycine metabolism and neurodevelopmental disorders
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Errichiello, Edoardo, Lecca, Mauro, Vantaggiato, Chiara, Motta, Zoraide, Zanotta, Nicoletta, Zucca, Claudio, Bertuzzo, Sara, Piubelli, Luciano, Pollegioni, Loredano, and Bonaglia, Maria Clara
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- 2024
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94. Assessment of the joint configuration and welding parameters for the dissimilar joining of AISI 304 L and AISI 410S stainless steels by friction stir welding
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de Queiroz Caetano, Gerbson, Andrade, Tathiane C., Motta, Marcelo Ferreira, Miranda, Hélio Cordeiro, Farias, Jesualdo Pereira, Bergmann, Luciano Andrei, dos Santos, Jorge F., and Silva, Cleiton Carvalho
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- 2024
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95. Ataxia-telangiectasia in Latin America: clinical features, immunodeficiency, and mortality in a multicenter study
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Pereira, Renan A., Dantas, Ellen O., Loekmanwidjaja, Jessica, Mazzucchelli, Juliana T. L., Aranda, Carolina S., Serrano, Maria E. G., De La Cruz Córdoba, Elisabeth A., Bezrodnik, Liliana, Moreira, Ileana, Ferreira, Janaira F. S., Dantas, Vera M., Sales, Valéria S. F., Fernandez, Carmen C., Vilela, Maria M. S., Motta, Isabela P., Franco, Jose Luis, Arango, Julio Cesar Orrego, Álvarez-Álvarez, Jesús A., Cardozo, Lina Rocío Riaño, Orellana, Julio C., Condino-Neto, Antonio, Kokron, Cristina M., Barros, Myrthes T., Regairaz, Lorena, Cabanillas, Diana, Suarez, Carmen L. N., Rosario, Nelson A., Chong-Neto, Herberto J., Takano, Olga A., Nadaf, Maria I. S. V., Moraes, Lillian S. L., Tavares, Fabiola S., Rabelo, Flaviane, Pino, Jessica, Calderon, Wilmer C., Mendoza-Quispe, Daniel, Goudouris, Ekaterini S., Patiño, Virginia, Montenegro, Cecilia, Souza, Monica S., Branco, Aniela BXCCastelo, Forte, Wilma C. N., Carvalho, Flavia A. A., Segundo, Gesmar, Cheik, Marina F. A., Roxo-Junior, Persio, Peres, Maryanna, Oliveira, Annie M., Neto, Arnaldo C. P., Ortega-López, Maria Claudia, Lozano, Alejandro, Lozano, Natalia Andrea, Nieto, Leticia H., Grumach, Anete S., Costa, Daniele C., Antunes, Nelma M. N., Nudelman, Victor, Pereira, Camila T. M., Martinez, Maria D. M., Quiroz, Francisco J. R., Cardona, Aristoteles A., Nuñez-Nuñez, Maria E., Rodriguez, Jairo A., Cuellar, Célia M., Vijoditz, Gustavo, Bichuetti-Silva, Daniélli C., Prando, Carolina C. M., Amantéa, Sérgio L., and Costa-Carvalho, Beatriz T.
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- 2024
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96. Alternative sensor montage for Index based EEG monitoring. A systematic review
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Tufegdzic, Boris, Lobo, Francisco, Achi, Eugene, Motta, Saba, Carozzi, Carla, and Lamperti, Massimo
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- 2024
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97. Calorie restriction-induced leptin reduction and T-lymphocyte activation in blood and adipose tissue in men with overweight and obesity
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Travers, Rebecca L., Trim, William V., Motta, Alexandre C., Betts, James A., and Thompson, Dylan
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- 2024
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98. Effects of the insecticide flupyradifurone on Anticarsia gemmatalis caterpillar and its predator Podisus nigrispinus
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Lima, Bárbara Soares Amoroso, Martínez, Luis Carlos, Rocha, Francelina Aparecida Duarte, Plata-Rueda, Angelica, Zanuncio, José Cola, Motta, João Victor Oliveira, Silva, Laryssa Lemos da, Schultz, Halina, Nere, Pedro Henrique Ambrosio, and Serrão, José Eduardo
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- 2024
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99. Biochar from poultry litter as reinforcement used in epoxy-based composites: mechanical and dynamic mechanical properties
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Lazzari, Lídia Kunz, Neves, Roberta Motta, Kerche, Eduardo Fischer, Vanzetto, Andrielen Braz, Ornaghi, Jr., Heitor Luiz, and Zattera, Ademir José
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- 2024
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100. Prediction of surface roughness in duplex stainless steel face milling using artificial neural network
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Vasconcelos, Guilherme Augusto Vilas Boas, Francisco, Matheus Brendon, da Costa, Lucas Ribeiro Alves, Ribeiro Junior, Ronny Francis, and Melo, Mirian de Lourdes Noronha Motta
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- 2024
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