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2,293 results on '"Vázquez E"'

1. Specific Cytotoxic Effect of an Auristatin Nanoconjugate Towards CXCR4+ Diffuse Large B-Cell Lymphoma Cells

Author

Falgàs A, Pallarès V, Unzueta U, Núñez Y, Sierra J, Gallardo A, Alba-Castellón L, Mangues MA, Álamo P, Villaverde A, Vázquez E, Mangues R, and Casanova I

Subjects
nanomedicine, targeted drug delivery, mmae, dlbcl, Medicine (General), R5-920
Abstract

Aïda Falgàs,1– 3 Victor Pallarès,1– 3 Ugutz Unzueta,1– 4 Yáiza Núñez,1,2 Jorge Sierra,2,5 Alberto Gallardo,1 Lorena Alba-Castellón,1,2 Maria Antonia Mangues,3,6 Patricia Álamo,1– 3 Antonio Villaverde,3,4,7 Esther Vázquez,3,4,7 Ramon Mangues,1– 3 Isolda Casanova1– 3 1Biomedical Research Institute Sant Pau (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, 08025, Spain; 2Josep Carreras Leukaemia Research Institute (IJC), Barcelona, 08916, Spain; 3CIBER de Bioingeniería Biomateriales y Nanomedicina (CIBER-BBN), Madrid, 28029, Spain; 4Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain; 5Department of Hematology, Hospital de la Santa Creu i Sant Pau, Barcelona, 08025, Spain; 6Department of Pharmacy, Hospital de la Santa Creu i Sant Pau, Barcelona, 08025, Spain; 7Institute of Biotechnology and Biomedicine (IBB), Universitat Autònoma de Barcelona, Barcelona, 08193, SpainCorrespondence: Esther VázquezInstitute of Biotechnology and Biomedicine (IBB) and Department of Genetics and Microbiology, Universitat Autònoma de Barcelona and CIBER-BBN, Barcelona, SpainTel +34 935812148Email Esther.Vazquez@uab.esRamon ManguesBiomedical Research Institute Sant Pau (IIB-Sant Pau), Josep Carreras Leukaemia Research Institute (IJC) and CIBER-BBN, Barcelona, SpainTel +34 935537918Email RMangues@santpau.catBackground and Purpose: Around 40– 50% of diffuse large-B cell lymphoma (DLBCL) patients suffer from refractory disease or relapse after R-CHOP first-line treatment. Many ongoing clinical trials for DLBCL patients involve microtubule targeting agents (MTAs), however, their anticancer activity is limited by severe side effects. Therefore, we chose to improve the therapeutic window of the MTA monomethyl auristatin E developing a nanoconjugate, T22-AUR, that selectively targets the CXCR4 receptor, which is overexpressed in many DLBCL cells (CXCR4+) and associated with poor prognosis.Methods: The T22-AUR specificity towards CXCR4 receptor was performed by flow cytometry in different DLBCL cell lines and running biodistribution assays in a subcutaneous mouse model bearing CXCR4+ DLBCL cells. Moreover, we determined T22-AUR cytotoxicity using cell viability assays, cell cycle analysis, DAPI staining and immunohistochemistry. Finally, the T22-AUR antineoplastic effect was evaluated in vivo in an extranodal CXCR4+ DLBCL mouse model whereas the toxicity analysis was assessed by histopathology in non-infiltrated mouse organs and by in vitro cytotoxic assays in human PBMCs.Results: We demonstrate that the T22-AUR nanoconjugate displays CXCR4-dependent targeting and internalization in CXCR4+ DLBCL cells in vitro as well as in a subcutaneous DLBCL mouse model. Moreover, it shows high cytotoxic effect in CXCR4+ DLBCL cells, including induction of G2/M mitotic arrest, DNA damage, mitotic catastrophe and apoptosis. Furthermore, the nanoconjugate shows a potent reduction in lymphoma mouse dissemination without histopathological alterations in non-DLBCL infiltrated organs. Importantly, T22-AUR also exhibits lack of toxicity in human PBMCs.Conclusion: T22-AUR exerts in vitro and in vivo anticancer effect on CXCR4+ DLBCL cells without off-target toxicity. Thus, T22-AUR promises to become an effective therapy for CXCR4+ DLBCL patients.Keywords: nanomedicine, targeted drug delivery, MMAE, DLBCL

Published
2021

2. Machine Learning based tool for CMS RPC currents quality monitoring

Author

Shumka, E., Samalan, A., Tytgat, M., Sawy, M. El, Alves, G. A., Marujo, F., Coelho, E. A., Da Costa, E. M., Nogima, H., Santoro, A., De Souza, S. Fonseca, Damiao, D. De Jesus, Thiel, M., Amarilo, K. Mota, Filho, M. Barroso Ferreira, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Qian, S. J., Kou, H., Liu, Z. -A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M. A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T. J., Choi, S. Y., Hong, B., Lee, K. S., Oh, H. Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R. L., Ramirez-Garcia, M., Vazquez, E., Shah, M. A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W. A., Eysermans, J., and De Araujo, F. Torres Da Silva

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

The muon system of the CERN Compact Muon Solenoid (CMS) experiment includes more than a thousand Resistive Plate Chambers (RPC). They are gaseous detectors operated in the hostile environment of the CMS underground cavern on the Large Hadron Collider where pp luminosities of up to $2\times 10^{34}$ $\text{cm}^{-2}\text{s}^{-1}$ are routinely achieved. The CMS RPC system performance is constantly monitored and the detector is regularly maintained to ensure stable operation. The main monitorable characteristics are dark current, efficiency for muon detection, noise rate etc. Herein we describe an automated tool for CMS RPC current monitoring which uses Machine Learning techniques. We further elaborate on the dedicated generalized linear model proposed already and add autoencoder models for self-consistent predictions as well as hybrid models to allow for RPC current predictions in a distant future.

Published
2023
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3. Intracellular CXCR4+ cell targeting with T22-empowered protein-only nanoparticles

Author

Unzueta U, Céspedes MV, Ferrer-Miralles N, Casanova I, Cedano J, Corchero JL, Domingo-Espín J, Villaverde A, Mangues R, and Vázquez E

Subjects
Medicine (General), R5-920
Abstract

Ugutz Unzueta,1–3 María Virtudes Céspedes,3,4 Neus Ferrer-Miralles,1–3 Isolda Casanova,3,4 Juan Cedano,5 José Luis Corchero,1–3 Joan Domingo-Espín,1–3 Antonio Villaverde,1–3 Ramón Mangues,3,4 Esther Vázquez1–31Institut de Biotecnologia i de Biomedicina, 2Departamento de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, 3CIBER en Bioingeniería, Biomateriales y Nanomedicina, Bellaterra, Barcelona, 4Oncogenesis and Antitumor Drug Group, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; 5Laboratory of Immunology, Regional Norte, Universidad de la Republica, Salto, UruguayBackground: Cell-targeting peptides or proteins are appealing tools in nanomedicine and innovative medicines because they increase the local drug concentration and reduce potential side effects. CXC chemokine receptor 4 (CXCR4) is a cell surface marker associated with several severe human pathologies, including colorectal cancer, for which intracellular targeting agents are currently missing.Results: Four different peptides that bind CXCR4 were tested for their ability to internalize a green fluorescent protein-based reporter nanoparticle into CXCR4+ cells. Among them, only the 18 mer peptide T22, an engineered segment derivative of polyphemusin II from the horseshoe crab, efficiently penetrated target cells via a rapid, receptor-specific endosomal route. This resulted in accumulation of the reporter nanoparticle in a fully fluorescent and stable form in the perinuclear region of the target cells, without toxicity either in cell culture or in an in vivo model of metastatic colorectal cancer.Conclusion: Given the urgent demand for targeting agents in the research, diagnosis, and treatment of CXCR4-linked diseases, including colorectal cancer and human immunodeficiency virus infection, T22 appears to be a promising tag for the intracellular delivery of protein drugs, nanoparticles, and imaging agents.Keywords: peptide tag, CXCR4, intracellular targeting, self-assembling, nanoparticles, colorectal cancer

Published
2012

4. RPC based tracking system at CERN GIF++ facility

Author

Amarilo, K. Mota, Samalan, A., Tytgat, M., Sawy, M. El, Alves, G. A., Marujo, F., Coelho, E. A., Da Costa, E. M., Nogima, H., Santoro, A., De Souza, S. Fonseca, Damiao, D. De Jesus, Thiel, M., Filho, M. Barroso Ferreira, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S. J., Kou, H., Liu, Z. -A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M. A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T. J., Choi, S. Y., Hong, B., Lee, K. S., Oh, H. Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R. L., Ramirez-Garcia, M., Vazquez, E., Shah, M. A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W. A., Eysermans, J., and De Araujo, F. Torres Da Silva

Subjects
Physics - Instrumentation and Detectors
Abstract

With the HL-LHC upgrade of the LHC machine, an increase of the instantaneous luminosity by a factor of five is expected and the current detection systems need to be validated for such working conditions to ensure stable data taking. At the CERN Gamma Irradiation Facility (GIF++) many muon detectors undergo such studies, but the high gamma background can pose a challenge to the muon trigger system which is exposed to many fake hits from the gamma background. A tracking system using RPCs is implemented to clean the fake hits, taking profit of the high muon efficiency of these chambers. This work will present the tracking system configuration, used detector analysis algorithm and results., Comment: 12 pages, 9 figures. Contribution to XVI Workshop on Resistive Plate Chambers and Related Detectors (RPC2022), September 26-30 2022. Submitted to Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Published
2022
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6. The Optical Two and Three-Dimensional Fundamental Plane Correlations for Nearly 180 Gamma-Ray Burst Afterglows with Swift/UVOT, RATIR, and the SUBARU Telescope

Author

Dainotti, Maria Giovanna, Young, Sam, Li, L., Kalinowski, K. K., Levine, Delina, Kann, D. A., Tran, Brandon, Zambrano-Tapia, L., Zambrano-Tapia, A., Cenko, B., Fuentes, M., Sánchez-Vázquez, E. G., Oates, S., Fraija, N., Becerra, R. L., Watson, A. M., Butler, N. R., González, J. J., Kutyrev, A. S., Lee, W. H., Prochaska, J. X., Ramirez-Ruiz, E., Richer, M. G., and Zola, S.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

Gamma-ray bursts (GRBs) are fascinating events due to their panchromatic nature. We study optical plateaus in GRB afterglows via an extended search into archival data. We comprehensively analyze all published GRBs with known redshifts and optical plateaus observed by many ground-based telescopes (e.g., Subaru Telescope, RATIR) around the world and several space-based observatories such as the Neil Gehrels Swift Observatory. We fit 500 optical light curves (LCs), showing the existence of the plateau in 179 cases. This sample is 75% larger than the previous one (arXiv:2105.10717), and it is the largest compilation so far of optical plateaus. We discover the 3D fundamental plane relation at optical wavelengths using this sample. This correlation is between the rest-frame time at the end of the plateau emission, $T^{*}_{\rm opt}$, its optical luminosity, $L_{\rm opt}$, and the peak in the optical prompt emission, $L_{\rm peak, opt}$, thus resembling the three-dimensional (3D) X-ray fundamental plane relation (arXiv:1604.06840). We correct our sample for redshift evolution and selection effects, discovering that this correlation is indeed intrinsic to GRB physics. We investigate the rest-frame end time distributions in X-rays and optical ($T^{*}_{\rm opt}$, $T^{*}_{\rm X}$), and conclude that the plateau is achromatic only when selection biases are not considered. We also investigate if the 3D optical correlation may be a new discriminant between optical GRB classes and find that there is no significant separation between the classes compared to the Gold sample plane after correcting for evolution., Comment: 27 pages, 9 figures, 4 tables. Accepted for publication in ApJS. Reworded one sentence for clarity

Published
2022
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7. Concrete carbonation in tropical urban and urban/marine environments after 20 years of natural exposure

Author

Torres-Acosta, A.A., Castro-Borges, P., Troconis de Rincón, O., Martín-Pérez, B., Martínez-Molina, W., Alonso-Guzmán, E., Bernabé-Reyes, C., Pérez-López, T., Arista-Perrusquía, C., Crespo-Sánchez, S.E., Pérez-Quiroz, J.T., López-Miguel, A., López-Vazquez, E., Juárez-Cruz, C.E., Rodríguez, J.A., Rodríguez-Gómez, F.J., Baltazar-Zamora, M.A., Landa-Ruiz, L., Maldonado-Bandala, E., Nieves-Mendoza, D., and Moreno-Herrera, J.A.

Published
2024
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8. Safety and efficacy of encorafenib–cetuximab combination in BRAFV600E-mutated metastatic colorectal cancer: real-world evidence from the CONFIDENCE Spanish multicenter study

Author

Fernández-Montes, A., Ros, J., García-Alfonso, P., Graña, B., Brozos-Vázquez, E., Melián, M., Jiménez-Gordo, A.M<ce:sup loc='post">ª</ce:sup>, Martínez de Castro, E., Busquier, I., Ferrández Arias, A., Grávalos, C., Covela, M., Ruíz-Casado, A., González-Flores, E., Safont, M<ce:sup loc='post">ª</ce:sup> J., Cano, J.M<ce:sup loc='post">ª</ce:sup>, Alonso-López, C., Gómez-Reina, M<ce:sup loc='post">ª</ce:sup> J., Donnay, O., Manzano-Mozo, J.L., Sampedro Domarco, P., Falcó, E., Rodríguez, N., García-Benito, C., and Aranda, E.

Published
2024
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10. Upgrade of the CMS Resistive Plate Chambers for the High Luminosity LHC

Author

Samalan, A., Tytgat, M., Alves, G. A., Marujo, F., De Araujo, F. Torres Da Silva, DaCosta, E. M., Damiao, D. De Jesus, Nogima, H., Santoro, A., De Souza, S. Fonseca, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Bonchev, M., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Qian, S. J., Bernal, C., Cabrera, A., Fraga, J., Sarkar, A., Elsayed, S., Assran, Y., Sawy, M. El, Mahmoud, M. A., Mohammed, Y., Combaret, C., Gouzevitch, M., Grenier, G., Laktineh, I., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, D., Lomidze, I., Bhatnagar, V., Gupta, R., Kumari, P., Singh, J., Amoozegar, V., Boghrati, B., Ebraimi, M., Ghasemi, R., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Aly, R., Elmetenawee, W., DeFilippis, N., Gelmi, A., Iaselli, G., Leszki, S., Loddo, F., Margjeka, I., Pugliese, G., Ramos, D., Caponero, M., Benussi, L., Bianco, S., Colafranceschi, S., Russo, A., Passamonti, L., Piccolo, D., Pierluigi, D., Saviano, G., Buontempo, S., Di Crescenzo, A., Fienga, F., DeLellis, G., Lista, L., Meola, S., Paolucci, P., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Francois, B., Kim, T. J., Park, J., Choi, S. Y., Hong, B., Lee, K. S., Goh, J., Lee, H., Eysermans, J., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Herrera, C. A. Mondragon, Navarro, D. A. Perez, AyalaSanchez, G. A., Carrillo, S., Vazquez, E., Zaganidis, N., Radi, A., Ahmad, A., Asghar, I., Hoorani, H., Muhammad, S., Shah, M. A., Mandelli, B., Guida, R., and Crotty, I.

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

During the upcoming High Luminosity phase of the Large Hadron Collider (HL-LHC), the integrated luminosity of the accelerator will increase to 3000 fb$^{-1}$. The expected experimental conditions in that period in terms of background rates, event pileup, and the probable aging of the current detectors present a challenge for all the existing experiments at the LHC, including the Compact Muon Solenoid (CMS) experiment. To ensure a highly performing muon system for this period, several upgrades of the Resistive Plate Chamber (RPC) system of the CMS are currently being implemented. These include the replacement of the readout system for the present system, and the installation of two new RPC stations with improved chamber and front-end electronics designs. The current overall status of this CMS RPC upgrade project is presented.

Published
2021
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12. CMS iRPC FEB development and validation

Author

Gouzevitch, M., Samalan, A., Tytgat, M., El Sawy, M., Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., De Souza, S. Fonseca, De Jesus Damiao, D., Thiel, M., Amarilo, K. Mota, Filho, M. Barroso Ferreira, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Gong, W., Wang, N., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Negra, R. Della, Mirabito, L., Shchablo, K., Combaret, C., Tromeur, W., Galbit, G., Girerd, C., Luciol, A., Chen, X., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., Eysermans, J., Da Silva De Araujo, F. Torres, Callier, S., and De La Taille, C.

Published
2024
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14. Improved resistive plate chambers for HL-LHC upgrade of CMS

Author

Samalan, A., Thiel, M., Asilar, E., Tytgat, M., El Sawy, M., Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., De Souza, S. Fonseca, Damiao, D. De Jesus, Amarilo, K. Mota, Filho, M. Barroso Ferreira, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Gong, W., Wang, N., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Combaret, C., Tromeur, W., Galbit, G., Luciol, A., Chen, X., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., Eysermans, J., and De Araujo, F. Torres Da Silva

Published
2024
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15. Pressure correction study for the CMS iRPC detector

Author

Abdelhameid, T., Gouzevitch, M., Samalan, A., Tytgat, M., Sawy, M. El, Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., De Souza, S. Fonseca, De Jesus Damiao, D., Thiel, M., Amarilo, K. Mota, Filho, M. Barroso Ferreira, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., Filippis, N. De, Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., Eysermans, J., and Araujo, F. Torres Da Silva De

Published
2024
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17. CMS RPC Background -- Studies and Measurements

Author

Hadjiiska, R., Samalan, A., Tytgat, M., Zaganidis, N., Alves, G. A., Marujo, F., De Araujo, F. Torres Da Silva, Da Costa, E. M., Damiao, D. De Jesus, Nogima, H., Santoro, A., De Souza, S. Fonseca, Aleksandrov, A., Iaydjiev, P., Rodozov, M., Shopova, M., Sultanov, G., Bonchev, M., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Qian, S. J., Bernal, C., Cabrera, A., Fraga, J., Sarkar, A., Elsayed, S., Assran, Y., Sawy, M. El, Mahmoud, M. A., Mohammed, Y., Combaret, C., Gouzevitch, M., Grenier, G., Laktineh, I., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, D., Lomidze, I., Bhatnagar, V., Gupta, R., Kumari, P., Singh, J., Amoozegar, V., Boghrati, B., Ebraimi, M., Ghasemi, R., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Aly, R., Elmetenawee, W., De Filippis, N., Gelmi, A., Iaselli, G., Leszki, S., Loddo, F., Margjeka, I., Pugliese, G., Ramos, D., Caponero, M., Benussi, L., Bianco, S., Colafranceschi, S., Russo, A., Passamonti, L., Piccolo, D., Pierluigi, D., Saviano, G., Buontempo, S., Di Crescenzo, A., Fienga, F., De Lellis, G., Lista, L., Meola, S., Paolucci, P., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Francois, B., Kim, T. J., Park, J., Choi, S. Y., Hong, B., Lee, K. S., Goh, J., Lee, H., Eysermans, J., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Herrera, C. A. Mondragon, Navarro, D. A. Perez, Sanchez, G. A. Ayala, Carrillo, S., Vazquez, E., Radi, A., Ahmad, A., Asghar, I., Hoorani, H., Muhammad, S., Shah, M. A., and Crotty, I.

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

The expected radiation background in the CMS RPC system has been studied using the MC prediction with the CMS FLUKA simulation of the detector and the cavern. The MC geometry used in the analysis describes very accurately the present RPC system but still does not include the complete description of the RPC upgrade region with pseudorapidity $1.9 < \lvert \eta \rvert < 2.4$. Present results will be updated with the final geometry description, once it is available. The radiation background has been studied in terms of expected particle rates, absorbed dose and fluence. Two High Luminosity LHC (HL-LHC) scenarios have been investigated - after collecting $3000$ and $4000$ fb$^{-1}$. Estimations with safety factor of 3 have been considered, as well., Comment: 6 pages, Conference proceeding for the 2020 Resistive Plate Chambers and Related Detectors. Minor revision of the report, the results remain unchanged. Three new plots are added and some details were explained better

Published
2020

20. Latest results of Longevity studies on the present CMS RPC system for HL-LHC phase

Author

Aly, R., Eysermans, J., Samalan, A., Tytgat, M., El Sawy, M., Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., De Souza, S. Fonseca, De Jesus Damiao, D., Thiel, M., Amarilo, K. Mota, Filho, M. Barroso Ferreira, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., and Da Silva De Araujo, F. Torres

Published
2023
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21. Aging studies for the CMS improved Resistive Plate Chambers

Author

Filho, M. Barroso Ferreira, Samalan, A., Tytgat, M., El Sawy, M., Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., De Souza, S. Fonseca, Damiao, D. De Jesus, Thiel, M., Amarilo, K. Mota, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., Filippis, N. De, Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., Eysermans, J., and De Araujo, F. Torres Da Silva

Published
2023
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22. Immunogenicity and safety assessment of a SARS-CoV-2 recombinant spike RBD protein vaccine (Abdala) in paediatric ages 3–18 years old: a double-blinded, multicentre, randomised, phase 1/2 clinical trial (ISMAELILLO study)

Author

López-Machado, M.A., Rodriguez, D Alonso, Basulto-Puig, J.C., Martin-Hernandez, T., Sánchez-Miranda, D., Agüero-Betancourt, C.M., Besú-García, B., Rodríguez-Fernández, Y., Guerrero-Vega, L., GómezFonseca, I., Ramos-Pérez, O., Acosta-Domínguez, I., Ronquillo-Ramirez, D., Díaz-Fernández, Y., Aguilar-Soto, L., Reíd-Montejo, J., Palomo-Leyva, Y., LandinFaria, M.R., Rosendo-Domínguez, R.M., Alonso-Manresa, C., Marín-Pérez, D.M., Malo-Lantigua, Y., Rodríguez-Florat, M.C., Delgado-Laborit, Y., RodriguezGuevara, Y., Peláez-González, M., Torres-Mora, Y., Cabrera-Hernández, O.S., Gimarais-Varona, F.J., Hormigot-Hernández, M., Artola-Gutiérrez, L.V., Gallardo-Martí, L., Porro-Verdecia, J., Castro-Bistorte, R., RobertsDandie, E., Berenguer-Pedroso, S., Manso-García, Yudith, Mora-García, C.V., Lastre-Muñoz, Y., Duran-Rivero, O., Hernández-García, B., Escobar-Escobar, K., CarmenatesGutiérrez, M.K., Conde-Bello, B., Olazabal-Linares, E.L., Bringas-Labrada, I., Noy-León, M., Velazco-González, N., Bursosa-Moreno, B., Morell-Padrón, Y., Rodríguez-Matos, Y., Treto-Torguet, Y.M., Comas-Díaz, L., Miranda, F., FigueredoGonzález, Y., Quiñones-Juan, A., Mursuli-García, I., Giménez-Velásquez, V.M., Hernández-Ávila, A., Hernández-Cabrera, T., García-Zulueta, T., Parra-Pérez, A., Cintra-Jacob, D., Mendoza-Jiménez, M., de la Fuente-Carbonell, S.M., Hernández-Eduard, B., Ochoa-García, M., Garcia-Iglesias, E., Álvarez-Acosta, A., Martínez-Rosales, R.U., Ávila-Díaz, L., Santana-Vázquez, Z., Mila-Cáceres, L., Guillén-Nieto, G.E., Fuentes-Aguilar, F., Nordelo-Valdivia, A., GonzálezFernández, N., González-Sarmientos, M., Rubio-Salinas, A., Domínguez-Rabilero, L.C., Espinosa-Peña, R.A., Ramírez-Núñez, Y., Junco-Barranco, J., Díaz-González, O., Fragas-Quintero, A., Pérez-Guevara, M.T., Enriquez-Puertas, J.M., Infante-Hernández, Y., Cruz-Sui, O., NoaRomero, E., López, Yizel Hernández, Sánchez-García, J.E., Rodríguez-Martínez, E., Pimentel-Vázquez, E., Martínez-Díaz, E., Cinza-Estévez, Zurina, Resik-Aguirre, Sonia, Figueroa-Baile, Nelvis L., Oquendo-Martínez, Rachel, Campa-Legrá, Ivan, Tejeda-Fuentes, Alina, Rivero-Caballero, Marila, González-García, Gloria, Chávez-Chong, Cristina O., Alonso-Valdés, Marel, Hernández-Bernal, Francisco, Lemos-Pérez, Gilda, Campal-Espinosa, Ana, Freyre-Corrales, Giselle, Benítez-Gordillo, Delia, Gato-Orozco, Evelyn, Pérez Bartutis, Greter Susana, Mesa-Pedroso, Iliana, Bueno-Alemani, Nilda, Infante-Aguilar, Elizabeth, Rodríguez Reinoso, José Luis, Melo-Suarez, Grettel, Limonta-Fernández, Miladys, Ayala-Ávila, Marta, and Muzio-González, Verena L.

Published
2023
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23. The CMS RPC system readiness for LHC Run-3 data taking

Author

Shopova, M., Samalan, A., Tytgat, M., El Sawy, M., Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., Fonseca De Souza, S., De Jesus Damiao, D., Thiel, M., Mota Amarilo, K., Barroso Ferreira Filho, M., Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Mohammadi Najafabadi, M., Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Uribe Estrada, C., Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., Eysermans, J., and Torres Da Silva De Araujo, F.

Published
2023
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24. RPC based tracking system at CERN GIF++ facility

Author

Mota Amarilo, K., Samalan, A., Tytgat, M., Sawy, M. El, Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., De Souza, S. Fonseca, De Jesus Damiao, D., Thiel, M., Filho, M. Barroso Ferreira, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., Eysermans, J., and Da Silva De Araujo, F. Torres

Published
2023
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25. New slow control emulator for the CMS phase-2 upgrade RPC link system

Author

Boghrati, B., Samalan, A., Tytgat, M., El Sawy, M., Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., De Souza, S. Fonseca, De Jesus Damiao, D., Thiel, M., Amarilo, K. Mota, Filho, M. Barroso Ferreira, Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Ebrahimi, M., Najafabadi, M. Mohammadi, Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Carnevali, F., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., Eysermans, J., and Da Silva De Araujo, F. Torres

Published
2023
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26. RPC background studies at CMS experiment

Author

Carnevali, F., Samalan, A., Tytgat, M., El Sawy, M., Alves, G.A., Marujo, F., Coelho, E.A., Da Costa, E.M., Nogima, H., Santoro, A., Fonseca De Souza, S., De Jesus Damiao, D., Thiel, M., Mota Amarilo, K., Barroso Ferreira Filho, M., Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Rodozov, M., Shopova, M., Soultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Qian, S.J., Kou, H., Liu, Z.-A., Zhao, J., Song, J., Hou, Q., Diao, W., Cao, P., Avila, C., Barbosa, D., Cabrera, A., Florez, A., Fraga, J., Reyes, J., Assran, Y., Mahmoud, M.A., Mohammed, Y., Crotty, I., Laktineh, I., Grenier, G., Gouzevitch, M., Mirabito, L., Shchablo, K., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Amoozegar, V., Boghrati, B., Ebraimi, M., Mohammadi Najafabadi, M., Zareian, E., Abbrescia, M., Iaselli, G., Pugliese, G., Loddo, F., De Filippis, N., Aly, R., Ramos, D., Elmetenawee, W., Leszki, S., Margjeka, I., Paesani, D., Benussi, L., Bianco, S., Piccolo, D., Meola, S., Buontempo, S., Lista, L., Paolucci, P., Fienga, F., Braghieri, A., Salvini, P., Montagna, P., Riccardi, C., Vitulo, P., Asilar, E., Choi, J., Kim, T.J., Choi, S.Y., Hong, B., Lee, K.S., Oh, H.Y., Goh, J., Yu, I., Estrada, C. Uribe, Pedraza, I., Castilla-Valdez, H., Sanchez-Hernandez, A., Fernandez, R.L., Ramirez-Garcia, M., Vazquez, E., Shah, M.A., Zaganidis, N., Radi, A., Hoorani, H., Muhammad, S., Ahmad, A., Asghar, I., Khan, W.A., Eysermans, J., Torres Da Silva De Araujo, F., Verwilligen, P., Cavallo, F.R., and Mei, H.

Published
2023
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27. Consensus statement on the use of alemtuzumab in daily clinical practice in Spain

Author

Meca-Lallana, J.E., Fernández-Prada, M., García Vázquez, E., Moreno Guillén, S., Otero Romero, S., Rus Hidalgo, M., Villar Guimerans, L.M., Eichau Madueño, S., Fernández Fernández, Ó., Izquierdo Ayuso, G., Álvarez Cermeño, J.C., Arnal García, C., Arroyo González, R., Brieva Ruiz, L., Calles Hernández, C., García Merino, A., González Plata, M., Hernández Pérez, M.Á., Moral Torres, E., Olascoaga Urtaza, J., Oliva-Nacarino, P., Oreja-Guevara, C., Ortiz Castillo, R., Oterino, A., Prieto González, J.M., Ramió-Torrentá, L., Rodríguez-Antigüedad, A., Saiz, A., Tintoré, M., and Montalbán Gairin, X.

Published
2022
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28. Consenso de expertos sobre el uso de alemtuzumab en la práctica clínica diaria en España

Author

Meca-Lallana, J.E., Fernández-Prada, M., García Vázquez, E., Moreno Guillén, S., Otero Romero, S., Rus Hidalgo, M., Villar Guimerans, L.M., Eichau Madueño, S., Fernández Fernández, Ó., Izquierdo Ayuso, G., Álvarez Cermeño, J.C., Arnal García, C., Arroyo González, R., Brieva Ruiz, L., Calles Hernández, C., García Merino, A., González Platas, M., Hernández Pérez, M.Á., Moral Torres, E., Olascoaga Urtaza, J., Oliva-Nacarino, P., Oreja-Guevara, C., Ortiz Castillo, R., Oterino, A., Prieto González, J.M., Ramió-Torrentá, L., Rodríguez-Antigüedad, A., Saiz, A., Tintoré, M., and Montalbán Gairin, X.

Published
2022
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31. Large-scale image analysis using docker sandboxing

Author

Sengupta, B, Vazquez, E, Sasdelli, M, Qian, Y, Peniak, M, Netherton, L, and Delfino, G

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Information Retrieval, Computer Science - Neural and Evolutionary Computing
Abstract

With the advent of specialized hardware such as Graphics Processing Units (GPUs), large scale image localization, classification and retrieval have seen increased prevalence. Designing scalable software architecture that co-evolves with such specialized hardware is a challenge in the commercial setting. In this paper, we describe one such architecture (\textit{Cortexica}) that leverages scalability of GPUs and sandboxing offered by docker containers. This allows for the flexibility of mixing different computer architectures as well as computational algorithms with the security of a trusted environment. We illustrate the utility of this framework in a commercial setting i.e., searching for multiple products in an image by combining image localisation and retrieval.

Published
2017

32. Differential Geometric Retrieval of Deep Features

Author

Qian, Y, Vazquez, E, and Sengupta, B

Subjects
Computer Science - Information Retrieval, Computer Science - Computer Vision and Pattern Recognition
Abstract

Comparing images to recommend items from an image-inventory is a subject of continued interest. Added with the scalability of deep-learning architectures the once `manual' job of hand-crafting features have been largely alleviated, and images can be compared according to features generated from a deep convolutional neural network. In this paper, we compare distance metrics (and divergences) to rank features generated from a neural network, for content-based image retrieval. Specifically, after modelling individual images using approximations of mixture models or sparse covariance estimators, we resort to their information-theoretic and Riemann geometric comparisons. We show that using approximations of mixture models enable us to compute a distance measure based on the Wasserstein metric that requires less effort than other computationally intensive optimal transport plans; finally, an affine invariant metric is used to compare the optimal transport metric to its Riemann geometric counterpart -- we conclude that although expensive, retrieval metric based on Wasserstein geometry is more suitable than information theoretic comparison of images. In short, we combine GPU scalability in learning deep feature vectors with statistically efficient metrics that we foresee being utilised in a commercial setting., Comment: 5th ICDM Workshop on High Dimensional Data Mining (HDM 2017)

Published
2017

41. Siderosis retiniana postraumática, un reporte de caso

Author

Ortiz, A., Garcés, M., Toala, J., Vázquez, E., and Ortiz, J.

Abstract

Paciente masculino de 30 años de edad acudió pocas horas después de sufrir un traumatismo ocular mientras martillaba, recibiendo un impacto con una astilla de metal en el ojo izquierdo (OI). Por cuadro clínico desfavorable se decide manejo quirúrgico, el cual fue inicialmente rechazado por el paciente. Regresó seis meses después con una profunda disminución de la agudeza visual del OI, llegando a cuenta dedos a un metro a pesar de la corrección óptica. El segmento anterior muestra un leucoma cicatricial inferior, asociado a Tyndall (++), pigmento retroquerático, sinequias posteriores inferiores y catarata total. Se indicó cirugía de catarata con implante de lente intraocular y vitrectomía posterior con extracción de cuerpo extraño intraocular (CEIO). En el control posoperatorio se demostró que la siderosis ocular (SO) postraumática no afectó significativamente su visión central, que mantiene hasta el momento.

Published
2024
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44. Building a solid foundation: advancing evidence synthesis in agri-food systems science

Author

Ellssel, P., Küstner, G., Kaczorowska-Dolowy, M., Vázquez, E., Di Bene, C., Li, H., Brizuela-Torres, Diego, Elangovan Vennila, E., Vicente-Vicente, J.L., Avila-Ortega, D.I., Ellssel, P., Küstner, G., Kaczorowska-Dolowy, M., Vázquez, E., Di Bene, C., Li, H., Brizuela-Torres, Diego, Elangovan Vennila, E., Vicente-Vicente, J.L., and Avila-Ortega, D.I.

Abstract

Enhancing the reliability of literature reviews and evidence synthesis is crucial for advancing the transformation of agriculture and food (agri-food) systems as well as for informed decisions and policy making. In this perspective, we argue that evidence syntheses in the field of agri-food systems research often suffer from a suite of methodological limitations that substantially increase the risk of bias, i.e., publication and selection bias, resulting in unreliable and potentially flawed conclusions and, consequently, poor decisions (e.g., policy direction, investment, research foci). We assessed 926 articles from the Collaboration for Environmental Evidence Database of Evidence Reviews (CEEDER) and recent examples from agri-food systems research to support our reasoning. The analysis of articles from CEEDER (n = 926) specifically indicates poor quality (Red) in measures to minimize subjectivity during critical appraisal (98% of all reviews), application of the eligibility criteria (97%), cross-checking of extracted data by more than one reviewer (97%), critical appraisal of studies (88%), establishment of an a priori method/protocol (86%), and transparent reporting of eligibility decisions (65%). Additionally, deficiencies (Amber) were found in most articles (>50%) regarding the investigation and discussion of variability in study findings (89%), comprehensiveness of the search (78%), definition of eligibility criteria (72%), search approach (64%), reporting of extracted data for each study (59%), consideration and discussion of the limitations of the synthesis (56%), documentation of data extraction (54%) and regarding the statistical approach (52%). To enhance the quality of evidence synthesis in agri-food science, review authors should use tried-and-tested methodologies and publish peer-reviewed a priori protocols. Training in evidence synthesis methods should be scaled, with universities playing a crucial role. It is the shared duty of research author

Published
2024

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