24,445 results on '"Tellez A"'
Search Results
52. Effect of Lippia origanoides Essential Oil Extract on Salmonella serovar Enteritidis as a Natural Alternative to Antibiotics in the Poultry Industry
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Atencio-Vega, Abdiel, Bueno, Dante J., Latorre, Juan D., Maguey-Gonzalez, Jesus A., Shehata, Awad A., Eisenreich, Wolfgang, Hargis, Billy M., Tellez-Isaias, Guillermo, Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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53. The Use of Phytogenic Substances Against Chronic Stress: Opportunities and Challenges
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Basiouni, Shereen, El-Saedi, Hesham, Tellez-Isaias, Guillermo, Eisenreich, Wolfgang, Shehata, Awad A., Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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54. Prebiotics: An Overview on Their Properties and Mode of Action
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Shehata, Awad A., Basiouni, Shereen, Huber, Claudia, Tellez-Isaias, Guillermo, Hafez, Hafez M., Eisenreich, Wolfgang, Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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55. Strategies to Control Coccidiosis and Parasitic Diseases in Biofarms
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Laverty, Lauren, Latorre, Juan D., Maguey-Gonzalez, Jesus A., Castellanos-Huerta, Inkar, Shehata, Awad A., Eisenreich, Wolfgang, Tellez-Isaias, Guillermo, Hargis, Billy M., Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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56. Secret Killers in Poultry as Drivers for Intestinal Inflammation and Oxidative Stress
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Basiouni, Shereen, Shehata, Awad A., Eisenreich, Wolfgang, Tellez-Isaias, Guillermo, May-Simera, Helen L., Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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57. Probiotics as Alternative to Antibiotics in Poultry: Challenges and Prospects
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Shehata, Awad A., Basiouni, Shereen, Tellez-Isaias, Guillermo, Eisenreich, Wolfgang, Hafez, Hafez M., Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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58. An Overview of the Gut Health in Chickens
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Shehata, Awad A., Tellez-Isaias, Guillermo, Eisenreich, Wolfgang, Basiouni, Shereen, Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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59. Advances in Anti-Mycotoxins
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Maguey-Gonzalez, Jesus A., Latorre, Juan D., Laverty, Lauren, Castellanos-Huerta, Inkar, Shehata, Awad A., Eisenreich, Wolfgang, Tellez-Isaias, Guillermo, Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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60. Taming the Tiny Titans: Exploring Bacteriophages as an Alternative to Antibiotics in the Poultry Industry
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Tellez, Guillermo, Bueno, Dante J., Castellanos-Huerta, Inkar, Maguey-Gonzalez, Jesus A., Laverty, Lauren, Atancio, Abdil, Petrone, Victor M., Latorre, Juan D., Shehata, Awad A., Eisenreich, Wolfgang, Hafez, Hafez M., Hargis, Billy M., Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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61. Peptides as Alternatives to Antibiotics in Poultry Health Management
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Castellanos-Huerta, Inkar, Vega, Abdiel Atencio, Maguey-Gonzalez, Jesus A., Laverty, Lauren, Shehata, Awad A., Eisenreich, Wolfgang, Hargis, Billy M., Tellez-Isaias, Guillermo, Shehata, Awad A., editor, Tellez-Isaias, Guillermo, editor, and Eisenreich, Wolfgang, editor
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- 2024
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62. On the notion of a function of bounded variation and of Riemann-Stieltjes integral with strong partitions on hyperbolic intervals
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Sanchez, Gamaliel Yafte Tellez and Reyes, Juan Bory
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- 2025
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63. An epizootic of highly pathogenic avian influenza virus H7N3 in a Mexican ecological reserve: Avian influenza virus H7N3 outbreak in wild birds in Mexico
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Navarro-López, Roberto, Valdez-Gómez, Héctor Enrique, Zalapa-Hernández, Mitzunari, Solís-Hernández, Mario, Márquez-Ruiz, Miguel Ángel, Rosas-Tellez, Abel, Guichard-Romero, Carlos, Cartas-Heredia, Gerardo, Morales-Espinoza, Romeo, Afonso, Claudio L., and Gómez-Romero, Ninnet
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- 2025
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64. Addressing Cardiovascular Toxicity Risk of Electronic Nicotine Delivery Systems in the Twenty-First Century: “What Are the Tools Needed for the Job?” and “Do We Have Them?”
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Chandy, Mark, Hill, III, Thomas, Jimenez-Tellez, Nerea, Wu, Joseph C., Sarles, S. Emma, Hensel, Edward, Wang, Qixin, Rahman, Irfan, and Conklin, Daniel J.
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- 2024
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65. Population genetic structure of Morelet’s and American crocodiles in Belize: hybridization, connectivity and conservation
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Wilkie, Clare J., Tellez, Marisa, Jones, Gareth, and Genner, Martin J.
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- 2024
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66. Blood DNA methylation and liver cancer in American Indians: evidence from the Strong Heart Study
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Slowly, Monique, Domingo-Relloso, Arce, Santella, Regina M., Haack, Karin, Fallin, Daniele M., Terry, Mary Beth, Rhoades, Dorothy A., Herreros-Martinez, Miguel, Garcia-Esquinas, Esther, Cole, Shelley A., Tellez-Plaza, Maria, Navas-Acien, Ana, and Wu, Hui-Chen
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- 2024
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67. Measurement of the Electron-Neutrino Charged-Current Cross Sections on ${}^{127}$I with the COHERENT NaI$\nu$E detector
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An, P., Awe, C., Barbeau, P. S., Becker, B., Belov, V., Bernardi, I., Bock, C., Bolozdynya, A., Bouabid, R., Brown, A., Browning, J., Cabrera-Palmer, B., Cervantes, M., Conley, E., Daughhetee, J., Detwiler, J., Ding, K., Durand, M. R., Efremenko, Y., Elliott, S. R., Fabris, L., Febbraro, M., Rosso, A. Gallo, Galindo-Uribarri, A., Germer, A. C., Green, M. P., Hakenmüller, J., Heath, M. R., Hedges, S., Hughes, M., Johnson, B. A., Johnson, T., Khromov, A., Konovalov, A., Kozlova, E., Kumpan, A., Kyzylova, O., Li, L., Link, J. M., Liu, J., Mahoney, M., Major, A., Mann, K., Markoff, D. M., Mastroberti, J., Mattingly, J., Mueller, P. E., Newby, J., Parno, D. S., Penttila, S. I., Pershey, D., Prior, C. G., Rapp, R., Ray, H., Raybern, J., Razuvaeva, O., Reyna, D., Rich, G. C., Ross, J., Rudik, D., Runge, J., Salvat, D. J., Sander, J., Scholberg, K., Shakirov, A., Simakov, G., Sinev, G., Skuse, C., Snow, W. M., Sosnovtsev, V., Subedi, T., Suh, B., Tayloe, R., Tellez-Giron-Flores, K., Tsai, Y. -T., Ujah, E., Vanderwerp, J., van Nieuwenhuizen, E. E., Varner, R. L., Virtue, C. J., Visser, G., Walkup, K., Ward, E. M., Wongjirad, T., Yoo, J., Yu, C. -H., Zawada, A., Zettlemoyer, J., and Zderic, A.
- Subjects
Nuclear Experiment ,High Energy Physics - Experiment - Abstract
Using an 185-kg NaI[Tl] array, COHERENT has measured the inclusive electron-neutrino charged-current cross section on ${}^{127}$I with pion decay-at-rest neutrinos produced by the Spallation Neutron Source at Oak Ridge National Laboratory. Iodine is one the heaviest targets for which low-energy ($\leq$ 50 MeV) inelastic neutrino-nucleus processes have been measured, and this is the first measurement of its inclusive cross section. After a five-year detector exposure, COHERENT reports a flux-averaged cross section for electron neutrinos of $9.2^{+2.1}_{-1.8} \times 10^{-40}$ cm$^2$. This corresponds to a value that is $\sim$41% lower than predicted using the MARLEY event generator with a measured Gamow-Teller strength distribution. In addition, the observed visible spectrum from charged-current scattering on $^{127}$I has been measured between 10 and 55 MeV, and the exclusive zero-neutron and one-or-more-neutron emission cross sections are measured to be $5.2^{+3.4}_{-3.1} \times 10^{-40}$ and $2.2^{+3.5}_{-2.2} \times 10^{-40}$ cm$^2$, respectively., Comment: 10 pages, 7 figures
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- 2023
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68. Structure of the medium formed in heavy ion collisions
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García, J. R. Alvarado, Herrera, D. Rosales, Téllez, A. Fernández, Díaz, Bogar, and Ramírez, J. E.
- Subjects
High Energy Physics - Phenomenology ,Nuclear Theory - Abstract
We investigate the structure of the medium formed in heavy ion collisions using three different models: the Color String Percolation Model (CSPM), the Core-Shell-Color String Percolation Model (CSCSPM), and the Color Glass Condensate (CGC) framework. We analyze the radial distribution function of the transverse representation of color flux tubes in each model to determine the medium's structure. Our results indicate that the CSPM behaves as an ideal gas, while the CSCSPM exhibits a structural phase transition from a gas-like to a liquid-like structure. Additionally, our analysis of the CGC framework suggests that it produces systems that behave like interacting gases for AuAu central collisions at RHIC energies and liquid-like structures for PbPb central collisions at LHC energies., Comment: 15 pages, 8 figures
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- 2023
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69. Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies
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Mason, James Paul, Werth, Alexandra, West, Colin G., Youngblood, Allison A., Woodraska, Donald L., Peck, Courtney, Lacjak, Kevin, Frick, Florian G., Gabir, Moutamen, Alsinan, Reema A., Jacobsen, Thomas, Alrubaie, Mohammad, Chizmar, Kayla M., Lau, Benjamin P., Dominguez, Lizbeth Montoya, Price, David, Butler, Dylan R., Biron, Connor J., Feoktistov, Nikita, Dewey, Kai, Loomis, N. E., Bodzianowski, Michal, Kuybus, Connor, Dietrick, Henry, Wolfe, Aubrey M., Guerrero, Matt, Vinson, Jessica, Starbuck, Peter, Litton, Shelby D, Beck, M. G., Fisch, Jean-Paul, West, Ayana, Muniz, Alexis A., Chavez, Luis, Upthegrove, Zachary T., Runyon, Brenton M., Salazar, J., Kritzberg, Jake E., Murrel, Tyler, Ho, Ella, LaFemina, Quintin Y., Elbashir, Sara I., Chang, Ethan C., Hudson, Zachary A., Nussbaum, Rosemary O., Kennedy, Kellen, Kim, Kevin, Arango, Camila Villamil, Albakr, Mohammed A., Rotter, Michael, Garscadden, A. J., Salcido-Alcontar JR, Antonio, Pearl, Harrison M., Stepaniak, Tyler, Marquez, Josie A., Marsh, Lauren, Andringa, Jesse C, Osogwin, Austin, Shields, Amanda M., Brookins, Sarah, Hach, Grace K., Clausi, Alexis R., Millican, Emily B., Jaimes, Alan A, Graham, Alaina S., Burritt, John J., Perez, J. S., Ramirez, Nathaniel, Suri, Rohan, Myer, Michael S., Kresek, Zoe M., Goldsberry, C. A., Payne, Genevieve K., Jourabchi, Tara, Hu, J., Lucca, Jeffrey, Feng, Zitian, Gilpatrick, Connor B., Khan, Ibraheem A., Warble, Keenan, Sweeney, Joshua D., Dorricott, Philip, Meyer, Ethan, Kothamdi, Yash S., Sohail, Arman S., Grell, Kristyn, Floyd, Aidan, Bard, Titus, Mathieson, Randi M., Reed, Joseph, Cisneros, Alexis, Payne, Matthew P., Jarriel, J. R., Mora, Jacqueline Rodriguez, Sundell, M. E., Patel, Kajal, Alesmail, Mohammad, Alnasrallah, Yousef A, Abdullah, Jumana T., Molina-Saenz, Luis, Tayman, K. E., Brown, Gabriel T., Kerr-Layton, Liana, Berriman-Rozen, Zachary D., Hiatt, Quinn, Kalra, Etash, Ong, Jason, Vadayar, Shreenija, Shannahan, Callie D., Benke, Evan, zhang, Jinhua, Geisman, Jane, Martyr, Cara, Ameijenda, Federico, Akruwala, Ushmi H., Nehring, Molly, Kissner, Natalie, Rule, Ian C., Learned, Tyler, Smith, Alexandra N., Mazzotta, Liam, Rounsefell, Tyndall, Eyeson, Elizabeth A., Shelby, Arlee K., Moll, Tyler S, Menke, Riley, Shahba, Hannan, House Jr., Tony A., Clark, David B., Burns, Annemarie C., de La Beaujardiere, Tristan, Trautwein, Emily D., Plantz, Will, Reeves, Justin, Faber, Ian, Buxton, B. W., Highhouse, Nigel, Landrey, Kalin, Hansen, Connor M, Chen, Kevin, Hales, Ryder Buchanan, Borgerding, Luke R., Guo, Mutian, Crow, Christian J., Whittall, Lloyd C., Simmons, Conor, Folarin, Adeduni, Parkinson, Evan J., Rahn, Anna L., Blevins, Olivia, Morelock, Annalise M., Kelly, Nicholas, Parker, Nathan L., Smith, Kelly, Plzak, Audrey E., Saeb, David, Hares, Cameron T., Parker, Sasha R., McCoy, Andrew, Pham, Alexander V., Lauzon, Megan, Kennedy, Cayla J., Reyna, Andrea B., Acosta, Daniela M. Meza, Cool, Destiny J., Steinbarth, Sheen L., Mendoza-Anselmi, Patricia, Plutt, Kaitlyn E., Kipp, Isabel M, Rakhmonova, M., Brown, Cameron L., Van Anne, Gabreece, Moss, Alexander P., Golden, Olivia, Kirkpatrick, Hunter B., Colleran, Jake R., Sullivan, Brandon J, Tran, Kevin, Carpender, Michael Andrew, Mundy, Aria T., Koenig, Greta, Oudakker, Jessica, Engelhardt, Rasce, Ales, Nolan, Wexler, Ethan Benjamin, Beato, Quinn I, Chen, Lily, Cochran, Brooke, Hill, Paula, Hamilton, Sean R., Hashiro, Kyle, Khan, Usman, Martinez, Alexa M., Brockman, Jennifer L., Mallory, Macguire, Reed, Charlie, Terrile, Richard, Singh, Savi, Watson, James Adam, Creany, Joshua B., Price, Nicholas K., Miften, Aya M., Tran, Bryn, Kamenetskiy, Margaret, Martinez, Jose R., Opp, Elena N., Huang, Jianyang, Fails, Avery M., Belei, Brennan J., Slocum, Ryan, Astalos, Justin, East, Andrew, Nguyen, Lena P., Pherigo, Callie C, East, Andrew N., Li, David Y., Nelson, Maya LI, Taylor, Nicole, Odbayar, Anand, Rives, Anna Linnea, Mathur, Kabir P., Billingsley, Jacob, Polikoff, Hyden, Driscoll, Michael, Wilson, Orion K., Lahmers, Kyle, Toon, Nathaniel J., Lippincott, Sam, Musgrave, Andrew J., Gregory, Alannah H., Pitsuean-Meier, Sedique, Jesse, Trevor, Smith, Corey, Miles, Ethan J., Kainz, Sabrina J. H. T., Ji, Soo Yeun, Nguyen, Lena, Aryan, Maryam, Dinser, Alexis M., Shortman, Jadon, Bastias, Catalina S, Umbricht, Thomas D, Cage, Breonna, Randolph, Parker, Pollard, Matthew, Simone, Dylan M., Aramians, Andrew, Brecl, Ariana E., Robert, Amanda M., Zenner, Thomas, Saldi, Maxwell, Morales, Gavin, Mendez, Citlali, Syed, Konner, Vogel, Connor Maklain, Cone, Rebecca A., Berhanu, Naomi, Carpenter, Emily, Leoni, Cecilia, Bryan, Samuel, Ramachandra, Nidhi, Shaw, Timothy, Lee, E. C., Monyek, Eli, Wegner, Aidan B., Sharma, Shajesh, Lister, Barrett, White, Jamison R., Willard, John S., Sulaiman, S. A, Blandon, Guillermo, Narayan, Anoothi, Ruger, Ryan, Kelley, Morgan A., Moreno, Angel J., Balcer, Leo M, Ward-Chene, N. R. D., Shelby, Emma, Reagan, Brian D., Marsh, Toni, Sarkar, Sucheta, Kelley, Michael P., Fell, Kevin, Balaji, Sahana, Hildebrand, Annalise K., Shoha, Dominick, Nandu, Kshmya, Tucker, Julia, Cancio, Alejandro R., Wang, Jiawei, Rapaport, Sarah Grace, Maravi, Aimee S., Mayer, Victoria A., Miller, Andrew, Bence, Caden, Koke, Emily, Fauntleroy, John T, Doermer, Timothy, Al-Ghazwi, Adel, Morgan, Remy, Alahmed, Mohammed S., Mathavan, Adam Izz Khan Mohd Reduan, Silvester, H. K., Weiner, Amanda M., Liu, Nianzi, Iovan, Taro, Jensen, Alexander V., AlHarbi, Yazeed A., Jiang, Yufan, Zhang, Jiaqi, Jones, Olivia M., Huang, Chenqi, Reh, Eileen N., Alhamli, Dania, Pettine, Joshua, Zhou, Chongrui, Kriegman, Dylan, Yang, Jianing, Ash, Kevin, Savage, Carl, Kaiser, Emily, Augenstein, Dakota N., Padilla, Jacqueline, Stark, Ethan K., Hansen, Joshua A., Kokes, Thomas, Huynh, Leslie, Sanchez-Sanchez, Gustavo, Jeseritz, Luke A., Carillion, Emma L., Vepa, Aditya V., Khanal, Sapriya, Behr, Braden, Martin, Logan S., McMullan, Jesse J., Zhao, Tianwei, Williams, Abigail K., Alqabani, Emeen, Prinster, Gale H., Horne, Linda, Ruggles-Delgado, Kendall, Otto, Grant, Gomez, Angel R., Nguyen, Leonardo, Brumley, Preston J., Venegas, Nancy Ortiz, Varela, Ilian, Brownlow, Jordi, Cruz, Avril, Leiker, Linzhi, Batra, Jasleen, Hutabarat, Abigail P., Nunes-Valdes, Dario, Jameson, Connor, Naqi, Abdulaziz, Adams, Dante Q., Biediger, Blaine B., Borelli, William T, Cisne, Nicholas A., Collins, Nathaniel A., Curnow, Tyler L., Gopalakrishnan, Sean, Griffin, Nicholas F., Herrera, Emanuel, McGarvey, Meaghan V., Mellett, Sarah, Overchuk, Igor, Shaver, Nathan, Stratmeyer, Cooper N., Vess, Marcus T., Juels, Parker, Alyami, Saleh A., Gale, Skylar, Wallace, Steven P., Hunter, Samuel C, Lonergan, Mia C., Stewart, Trey, Maksimuk, Tiffany E., Lam, Antonia, Tressler, Judah, Napoletano, Elena R., Miller, Joshua B., Roy, Marc G., Chanders, Jasey, Fischer, Emmalee, Croteau, A. J., Kuiper, Nicolas A., Hoffman, Alex, DeBarros, Elyse, Curry, Riley T., Brzostowicz, A., Courtney, Jonas, Zhao, Tiannie, Szabo, Emi, Ghaith, Bandar Abu, Slyne, Colin, Beck, Lily, Quinonez, Oliver, Collins, Sarah, Madonna, Claire A., Morency, Cora, Palizzi, Mallory, Herwig, Tim, Beauprez, Jacob N., Ghiassi, Dorsa, Doran, Caroline R., Yang, Zhanchao, Padgette, Hannah M., Dicken, Cyrus A., Austin, Bryce W., Phalen, Ethan J., Xiao, Catherine, Palos, Adler, Gerhardstein, Phillip, Altenbern, Ava L., Orbidan, Dan, Dorr, Jackson A., Rivas, Guillermo A., Ewing, Calvin A, Giebner, B. C., McEntee, Kelleen, Kite, Emily R., Crocker, K. A., Haley, Mark S., Lezak, Adrienne R., McQuaid, Ella, Jeong, Jacob, Albaum, Jonathan, Hrudka, E. M., Mulcahy, Owen T., Tanguma, Nolan C., Oishi-Holder, Sean, White, Zachary, Coe, Ryan W., Boyer, Christine, Chapman, Mitchell G., Fortino, Elise, Salgado, Jose A., Hellweg, Tim, Martinez, Hazelia K., Mitchell, Alexander J., Schubert, Stephanie H., Schumacher, Grace K, Tesdahl, Corey D, Uphoff, C. H., Vassilyev, Alexandr, Witkoff, Briahn, Wolle, Jackson R., Dice, Kenzie A., Behrer, Timothy A., Bowen, Troy, Campbell, Andrew J, Clarkson, Peter C, Duong, Tien Q., Hawat, Elijah, Lopez, Christian, Olson, Nathaniel P., Osborn, Matthew, Peou, Munisettha E., Vaver, Nicholas J., Husted, Troy, Kallemeyn, Nicolas Ian, Spangler, Ava A, Mccurry, Kyle, Schultze, Courtney, Troisi, Thomas, Thomas, Daniel, Ort, Althea E., Singh, Maya A., Soon, Caitlin, Patton, Catherine, Billman, Jayce A., Jarvis, Sam, Hitt, Travis, Masri, Mirna, Albalushi, Yusef J., Schofer, Matthew J, Linnane, Katherine B., Knott, Philip Whiting, Valencia, Whitney, Arias-Robles, Brian A., Ryder, Diana, Simone, Anna, Abrams, Jonathan M., Belknap, Annelene L., Rouse, Charlotte, Reynolds, Alexander, Petric, Romeo S. L., Gomez, Angel A., Meiselman-Ashen, Jonah B., Carey, Luke, Dias, John S., Fischer-White, Jules, Forbes, Aidan E., Galarraga, Gabriela, Kennedy, Forrest, Lawlor, Rian, Murphy, Maxwell J., Norris, Cooper, Quarderer, Josh, Waller, Caroline, Weber, Robert J., Gunderson, Nicole, Boyne, Tom, Gregory, Joshua A., Propper, Henry Austin, von Peccoz, Charles B. Beck, Branch, Donovan, Clarke, Evelyn, Cutler, Libby, Dabberdt, Frederick M., Das, Swagatam, Figueirinhas, John Alfred D., Fougere, Benjamin L., Roy, Zoe A., Zhao, Noah Y., Cox, Corben L., Barnhart, Logan D. W., Craig, Wilmsen B., Moll, Hayden, Pohle, Kyle, Mueller, Alexander, Smith, Elena K., Spicer, Benjamin C., Aycock, Matthew C., Bat-Ulzii, Batchimeg, Murphy, Madalyn C., Altokhais, Abdullah, Thornally, Noah R., Kleinhaus, Olivia R., Sarfaraz, Darian, Barnes, Grant M., Beard, Sara, Banda, David J, Davis, Emma A. B., Huebsch, Tyler J., Wagoner, Michaela, Griego, Justus, Hale, Jack J. Mc, Porter, Trevor J., Abrashoff, Riley, Phan, Denise M., Smith, Samantha M., Srivastava, Ashish, Schlenker, Jared A. W., Madsen, Kasey O., Hirschmann, Anna E., Rankin, Frederick C, Akbar, Zainab A., Blouin, Ethan, Coleman-Plante, Aislinn, Hintsa, Evan, Lookhoff, Emily, Amer, Hamzi, Deng, Tianyue, Dvorak, Peter, Minimo, Josh, Plummer, William C., Ton, Kelly, Solt, Lincoln, AlAbbas, Batool H., AlAwadhi, Areej A., Cooper, Nicholas M., Corbitt, Jessica S, Dunlap, Christian, Johnson, Owen, Malone, Ryan A., Tellez, Yesica, Wallace, Logan, Ta, Michael-Tan D., Wheeler, Nicola H., Ramirez, Ariana C., Huang, Shancheng, Mehidic, Amar, Christiansen, Katherine E, Desai, Om, Domke, Emerson N., Howell, Noah H., Allsbrook, Martin, Alnaji, Teeb, England, Colin, Siles, Nathan, Burton, Nicholas David, Cruse, Zoe, Gilmartin, Dalton, Kim, Brian T., Hattendorf, Elsie, Buhamad, Maryam, Gayou, Lily, Seglem, Kasper, Alkhezzi, Tameem, Hicks, Imari R., Fife, Ryann, Pelster, Lily M., Fix, Alexander, Sur, Sohan N., Truong, Joshua K., Kubiak, Bartlomiej, Bondar, Matthew, Shi, Kyle Z., Johnston, Julia, Acevedo, Andres B., Lee, Junwon, Solorio, William J., Johnston, Braedon Y., McCormick, Tyler, Olguin, Nicholas, Pastor, Paige J., Wilson, Evan M., Trunko, Benjamin L., Sjoroos, Chris, Adams, Kalvyn N, Bell, Aislyn, Brumage-Heller, Grant, Canales, Braden P., Chiles, Bradyn, Driscoll, Kailer H., Hill, Hallie, Isert, Samuel A., Ketterer, Marilyn, Kim, Matthew M., Mewhirter, William J., Phillips, Lance, Phommatha, Krista, Quinn, Megan S., Reddy, Brooklyn J., Rippel, Matthew, Russell, Bowman, Williams, Sajan, Pixley, Andrew M., Gapin, Keala C., Peterson, B., Ruprecht, Collin, Hardie, Isabelle, Li, Isaac, Erickson, Abbey, Gersabeck, Clint, Gopalani, Mariam, Allanqawi, Nasser, Burton, Taylor, Cahn, Jackson R., Conti, Reese, White, Oliver S., Rojec, Stewart, Hogen, Blake A., Swartz, Jason R., Dick, R., Battist, Lexi, Dunn, Gabrielle M., Gasser, Rachel, Logan, Timothy W., Sinkovic, Madeline, Schaller, Marcus T., Heintz, Danielle A., Enrich, Andrew, Sanchez, Ethan S., Perez, Freddy, Flores, Fernando, Kapla, Shaun D., Shockley, Michael C., Phillips, Justin, Rumley, Madigan, Daboub, Johnston, Karsh, Brennan J., Linders, Bridget, Chen, Sam, Do, Helen C., Avula, Abhinav, French, James M., Bertuccio, Chrisanna, Hand, Tyler, Lee, Adrianna J., Neeland, Brenna K, Salazar, Violeta, Andrew, Carter, Barmore, Abby, Beatty, Thomas, Alonzi, Nicholas, Brown, Ryan, Chandler, Olivia M., Collier, Curran, Current, Hayden, Delasantos, Megan E., Bonilla, Alberto Espinosa de los Monteros, Fowler, Alexandra A., Geneser, Julianne R., Gentry, Eleanor, Gustavsson, E. R., Hansson, Jonathan, Hao, Tony Yunfei, Herrington, Robert N., Kelly, James, Kelly, Teagan, Kennedy, Abigail, Marquez, Mathew J., Meillon, Stella, Palmgren, Madeleine L., Pesce, Anneliese, Ranjan, Anurag, Robertson, Samuel M., Smith, Percy, Smith, Trevor J, Soby, Daniel A., Stratton, Grant L., Thielmann, Quinn N., Toups, Malena C., Veta, Jenna S., Young, Trenton J., Maly, Blake, Manzanares, Xander R., Beijer, Joshua, George, Jacob D., Mills, Dylan P., Ziebold, Josh J, Chambers, Paige, Montoya, Michael, Cheang, Nathan M., Anderson, Hunter J., Duncan, Sheridan J., Ehrlich, Lauren, Hudson, Nathan C., Kiechlin, Jack L., Koch, Will, Lee, Justin, Menassa, Dominic, Oakes, S. H., Petersen, Audrey J., Bunsow, J. R. Ramirez, Bay, Joshua, Ramirez, Sacha, Fenwick, Logan D., Boyle, Aidan P., Hibbard, Lea Pearl, Haubrich, Calder, Sherry, Daniel P., Jenkins, Josh, Furney, Sebastian, Velamala, Anjali A., Krueger, Davis J., Thompson, William N., Chhetri, Jenisha, Lee, Alexis Ying-Shan, Ray, Mia G. V., Recchia, John C., Lengerich, Dylan, Taulman, Kyle, Romero, Andres C., Steward, Ellie N., Russell, Sloan, Hardwick, Dillon F., Wootten, Katelynn, Nguyen, Valerie A., Quispe, Devon, Ragsdale, Cameron, Young, Isabel, Atchley-Rivers, N. S., Stribling, Jordin L., Gentile, Julia G, Boeyink, Taylor A., Kwiatkowski, Daniel, Dupeyron, Tomi Oshima, Crews, Anastasia, Shuttleworth, Mitchell, Dresdner, Danielle C., Flackett, Lydia, Haratsaris, Nicholas, Linger, Morgan I, Misener, Jay H., Patti, Samuel, Pine, Tawanchai P., Marikar, Nasreen, Matessi, Giorgio, Routledge, Allie C., Alkaabi, Suhail, Bartman, Jessica L., Bisacca, Gabrielle E., Busch, Celeste, Edwards, Bree, Staudenmier, Caitlyn, Starling, Travis, McVey, Caden, Montano, Maximus, Contizano, Charles J., Taylor, Eleanor, McIntyre, James K., Victory, Andrew, McCammon, Glen S., Kimlicko, Aspen, Sheldrake, Tucker, Shelchuk, Grace, Von Reich, Ferin J., Hicks, Andrew J., O'neill, Ian, Rossman, Beth, Taylor, Liam C., MacDonald, William, Becker, Simone E., Han, Soonhee, O'Sullivan, Cian, Wilcove, Isaac, Brennan, David J., Hanley, Luke C., Hull, Owen, Wilson, Timothy R., Kalmus, Madison H., Berv, Owen A., Harris, Logan Swous, Doan, Chris H, Londres, Nathan, Parulekar, Anish, Adam, Megan M., Angwin, Abigail, Cabbage, Carter C., Colleran, Zachary, Pietras, Alex, Seux, Octave, Oros, Ryan, Wilkinson, Blake C., Nguyen, Khoa D, Trank-Greene, Maedee, Barone, Kevin M., Snyder, G. L., Biehle, Samuel J, Billig, Brennen, Almquist, Justin Thomas, Dixon, Alyssa M., Erickson, Benjamin, Evans, Nathan, Genne, SL, Kelly, Christopher M, Marcus, Serafima M., Ogle, Caleb, Patel, Akhil, Vendetti, Evan, Courtney, Olivia, Deel, Sean, Del Foco, Leonardo, Gjini, Michael, Haines, Jessica, Hoff, Isabelle J., Jones, M. R., Killian, Dominic, Kuehl, Kirsten, Kuester, Chrisanne, Lantz, Maxwell B., Lee, Christian J, Mauer, Graham, McKemey, Finbar K., Millican, Sarah J., Rosasco, Ryan, Stewart, T. C., VanEtten, Eleanor, Derwin, Zachary, Serio, Lauren, Sickler, Molly G., Blake, Cassidy A., Patel, Neil S., Fox, Margaret, Gray, Michael J, Ziegler, Lucas J., Kumar, Aman Priyadarshi, Polly, Madelyn, Mesgina, Sarah, McMorris, Zane, Griffin, Kyle J., Haile, L. N., Bassel, Claire, Dixon, Thomas J., Beattie, Ryan, Houck, Timothy J, Rodgers, Maeve, Trofino, Tyson R., Lukianow, Dax, Smart, Korben, Hall, Jacqueline L., Bone, Lauren, Baldwin, James O., Doane, Connor, Almohsen, Yousef A., Stamos, Emily, Acha, Iker, Kim, Jake, Samour II, Antonio E., Chavali, S., Kanokthippayakun, Jeerakit, Gotlib, Nicholas, Murphy, Ryan C., Archibald, Jack. W., Brimhall, Alexander J, Boyer, Aidan, Chapman, Logan T., Chadda, Shivank, Sibrell, Lisa, Vallery, Mia M., Conroy, Thomas C., Pan, Luke J., Balajonda, Brian, Fuhrman, Bethany E. S., Alkubaisi, Mohamed, Engelstad, Jacob, Dodrill, Joshua, Fuchs, Calvin R., Bullard-Connor, Gigi, Alhuseini, Isehaq, Zygmunt, James C., Sipowicz, Leo, Hayrynen, Griffin A., McGill, Riley M., Keating, Caden J., Hart, Omer, Cyr, Aidan St., Steinsberger, Christopher H., Thoman, Gerig, Wood, Travis M., Ingram, Julia A., Dominguez, J., Georgiades, Nathaniel James, Johnson, Matthew, Johnson, Sawyer, Pedersen, Alexander J., Ralapanawe, Anoush K, Thomas, Jeffrey J., Sato, Ginn A., Reynolds, Hope, Nasser, Liebe, Mizzi, Alexander Z., Damgaard, Olivia, Baflah, Abdulrahman A., Liu, Steven Y., Salindeho, Adam D., Norden, Kelso, Gearhart, Emily E., Krajnak, Zack, Szeremeta, Philip, Amos, Meggan, Shin, Kyungeun, Muckenthaler, Brandon A., Medialdea, Melissa, Beach, Simone, Wilson, Connor B., Adams, Elena R, Aldhamen, Ahmed, Harris, Coyle M., Hesse, Troy M., Golding, Nathan T., Larter, Zachary, Hernandez, Angel, Morales, Genaro, Traxler, Robert B., Alosaimi, Meshal, Fitton, Aidan F., Aaron, James Holland, Lee, Nathaniel F., Liao, Ryan Z., Chen, Judy, French, Katherine V., Loring, Justin, Colter, Aurora, McConvey, Rowan, Colozzi, Michael, Vann, John D., Scheck, Benjamin T., Weigand, Anthony A, Alhabeeb, Abdulelah, Idoine, Yolande, Woodard, Aiden L., Medellin, Mateo M., Ratajczyk, Nicholas O, Tobin, Darien P., Collins, Jack C., Horning, Thomas M., Pellatz, Nick, Pitten, John, Lordi, Noah, Patterson, Alyx, Hoang, Thi D, Zimmermann, Ingrid H, Wang, Hongda, Steckhahn, Daniel, Aradhya, Arvind J., Oliver, Kristin A., Cai, Yijian, Wang, Chaoran, Yegovtsev, Nikolay, Wu, Mengyu, Ganesan, Koushik, Osborne, Andrew, Wickenden, Evan, Meyer, Josephine C., Chaparro, David, Visal, Aseem, Liu, Haixin, Menon, Thanmay S., Jin, Yan, Wilson, John, Erikson, James W., Luo, Zheng, Shitara, Nanako, Nelson, Emma E, Geerdts, T. R., Ortiz, Jorge L Ramirez, and Lewandowski, H. J.
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Astrophysics - Solar and Stellar Astrophysics - Abstract
Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counter-intuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, $\alpha=2$ as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed $>$600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: pre-flare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that $\alpha = 1.63 \pm 0.03$. This is below the critical threshold, suggesting that Alfv\'en waves are an important driver of coronal heating., Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The Astrophysical Journal on 2023-05-09, volume 948, page 71
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- 2023
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70. SE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs
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Narayanan, Sriram S. K. S., Tellez-Castro, Duvan, Sutavani, Sarang, and Vaidya, Umesh
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Computer Science - Robotics - Abstract
In this paper, we propose a novel data-driven approach for learning and control of quadrotor UAVs based on the Koopman operator and extended dynamic mode decomposition (EDMD). Building observables for EDMD based on conventional methods like Euler angles (to represent orientation) is known to involve singularities. To address this issue, we employ a set of physics-informed observables based on the underlying topology of the nonlinear system. We use rotation matrices to directly represent the orientation dynamics and obtain a lifted linear representation of the nonlinear quadrotor dynamics in the SE(3) manifold. This EDMD model leads to accurate prediction and can be generalized to several validation sets. Further, we design a linear model predictive controller (MPC) based on the proposed EDMD model to track agile reference trajectories. Simulation results show that the proposed MPC controller can run as fast as 100 Hz and is able to track arbitrary reference trajectories with good accuracy. Implementation details can be found in \url{https://github.com/sriram-2502/KoopmanMPC_Quadrotor}.
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- 2023
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71. Indicator values for food shelf life prediction: A review
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Teofilo Espinoza-Tellez, Roberto Quevedo-León, and Oscar Diaz-Carrasco
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alimentos ,indicadores de deterioro ,vida útil ,valores máximos ,valores mínimos ,Agriculture ,Agriculture (General) ,S1-972 - Abstract
The short time that people have to cook their own food has led industries to satisfy the need for ready-to-eat products. This has motivated a progressive increase in studies that can determine the time at which the product can be safely consumed (shelf life). There are several methods for determining the shelf life of products; but regardless of the method used, the key is to know the minimum and/or maximum values of the indicators that define their deterioration. These values of spoilage indicators can change according to the compositional conditions of the food or the conditions under which it is stored during its shelf life. This review provides values for indicators used in tests for the determination of food shelf life, according to their nature, and environmental conditions, as way to be used by researchers as a reference in their predictions. The results of this research show scientific evidence through published articles about indicator values, their changes, referring to food shelf life kinetics. These values can be used for the prediction of food shelf life, for comparison purposes with their respective studies. It will be of importance for consumers, who will be able to use these values as a reference in the storage of these products. Shelf life indicator values for foods not considered in this work should be evaluated or experimented with in future work.
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- 2024
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72. Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
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Ertunc Erdil, Anton S. Becker, Moritz Schwyzer, Borja Martinez-Tellez, Jonatan R. Ruiz, Thomas Sartoretti, H. Alberto Vargas, A. Irene Burger, Alin Chirindel, Damian Wild, Nicola Zamboni, Bart Deplancke, Vincent Gardeux, Claudia Irene Maushart, Matthias Johannes Betz, Christian Wolfrum, and Ender Konukoglu
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Science - Abstract
Abstract The standard method for identifying active Brown Adipose Tissue (BAT) is [18F]-Fluorodeoxyglucose ([18F]-FDG) PET/CT imaging, which is costly and exposes patients to radiation, making it impractical for population studies. These issues can be addressed with computational methods that predict [18F]-FDG uptake by BAT from CT; earlier population studies pave the way for developing such methods by showing some correlation between the Hounsfield Unit (HU) of BAT in CT and the corresponding [18F]-FDG uptake in PET. In this study, we propose training convolutional neural networks (CNNs) to predict [18F]-FDG uptake by BAT from unenhanced CT scans in the restricted regions that are likely to contain BAT. Using the Attention U-Net architecture, we perform experiments on datasets from four different cohorts, the largest study to date. We segment BAT regions using predicted [18F]-FDG uptake values, achieving 23% to 40% better accuracy than conventional CT thresholding. Additionally, BAT volumes computed from the segmentations distinguish the subjects with and without active BAT with an AUC of 0.8, compared to 0.6 for CT thresholding. These findings suggest CNNs can facilitate large-scale imaging studies more efficiently and cost-effectively using only CT.
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- 2024
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73. Zumo a base de maqui liofilizado (Aristotelia chilensis (Mol.) Stuntz): Características fisicoquímicas, funcionales, microbiológicas y sensoriales
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Emir Valencia-Aguilar, Roberto Quevedo-León, Dagoberto Diaz-Guineo, and Teófilo Espinoza-Tellez
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clave ,maqui ,zumo ,liofilización ,antioxidante ,miel de abeja ,Agriculture (General) ,S1-972 ,Technology ,Industrial engineering. Management engineering ,T55.4-60.8 - Abstract
El objetivo del presente estudio fue elaborar un zumo de maqui (Aristotelia chilensis) a partir de polvo liofilizado y endulzado con azúcar blanca o miel de abeja; para ser considerado como una bebida de origen natural. Se realizaron diversos análisis: sólidos solubles, pH, acidez, humedad, materia seca, cenizas totales, azúcares totales, proteína total, actividad antioxidante, grasa y análisis microbiológicos (recuento de aerobios mesófilos, hongos y levaduras). Los resultados de la capacidad antioxidante para el zumo de maqui endulzado con azúcar fueron valores de 283,93 mg/100 mL EAA y para el zumo endulzado con miel fueron 364,16 mg/100 mL EAA. El contenido total de azúcar para el zumo preparado con miel fue de 14,42 g/100 mL, mientras que para el zumo preparado con azúcar fue de 13,3 g/100 mL. El sabor y el aroma de los dos tipos de zumos fueron aceptados por un panel organoléptico no entrenado. El principal beneficio del producto desarrollado es el aprovechamiento de un fruto nativo del bosque, rico en antioxidantes, vitaminas y fibra, que se somete a un proceso de liofilización para conservar sus propiedades nutricionales y organolépticas, manteniendo su sabor, aroma y color originales.
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- 2024
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74. Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysisCentral MessagePerspective
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Andrew Kalra, BS, Preetham Bachina, BS, Benjamin L. Shou, BS, Jaeho Hwang, MD, MPH, Meylakh Barshay, BS, Shreyas Kulkarni, BS, Isaac Sears, BS, Carsten Eickhoff, PhD, Christian A. Bermudez, MD, Daniel Brodie, MD, Corey E. Ventetuolo, MD, MS, Bo Soo Kim, MD, Glenn J.R. Whitman, MD, Adeel Abbasi, MD, ScM, Sung-Min Cho, DO, MHS, Bo Soo Kim, David Hager, Steven P. Keller, Errol L. Bush, R. Scott Stephens, Shivalika Khanduja, Jin Kook Kang, Ifeanyi David Chinedozi, Zachary Darby, Hannah J. Rando, Trish Brown, Jiah Kim, Christopher Wilcox, Albert Leng, Andrew Geeza, Armaan F. Akbar, Chengyuan Alex Feng, David Zhao, Marc Sussman, Pedro Alejandro Mendez-Tellez, Philip Sun, Karlo Capili, Ramon Riojas, Diane Alejo, Scott Stephen, and Harry Flaster
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acute brain injury ,Extracorporeal Life Support Organization ,extracorporeal membrane oxygenation ,machine learning ,neurological complications ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 ,Surgery ,RD1-811 - Abstract
Objective: We aimed to determine if machine learning can predict acute brain injury and to identify modifiable risk factors for acute brain injury in patients receiving venoarterial extracorporeal membrane oxygenation. Methods: We included adults (age ≥18 years) receiving venoarterial extracorporeal membrane oxygenation or extracorporeal cardiopulmonary resuscitation in the Extracorporeal Life Support Organization Registry (2009-2021). Our primary outcome was acute brain injury: central nervous system ischemia, intracranial hemorrhage, brain death, and seizures. We used Random Forest, CatBoost, LightGBM, and XGBoost machine learning algorithms (10-fold leave-1-out cross-validation) to predict and identify features most important for acute brain injury. We extracted 65 total features: demographics, pre-extracorporeal membrane oxygenation/on-extracorporeal membrane oxygenation laboratory values, and pre-extracorporeal membrane oxygenation/on-extracorporeal membrane oxygenation settings. Results: Of 35,855 patients receiving venoarterial extracorporeal membrane oxygenation (nonextracorporeal cardiopulmonary resuscitation) (median age of 57.8 years, 66% were male), 7.7% (n = 2769) experienced acute brain injury. In venoarterial extracorporeal membrane oxygenation (nonextracorporeal cardiopulmonary resuscitation), the area under the receiver operator characteristic curves to predict acute brain injury, central nervous system ischemia, and intracranial hemorrhage were 0.67, 0.67, and 0.62, respectively. The true-positive, true-negative, false-positive, false-negative, positive, and negative predictive values were 33%, 88%, 12%, 67%, 18%, and 94%, respectively, for acute brain injury. Longer extracorporeal membrane oxygenation duration, higher 24-hour extracorporeal membrane oxygenation pump flow, and higher on-extracorporeal membrane oxygenation partial pressure of oxygen were associated with acute brain injury. Of 10,775 patients receiving extracorporeal cardiopulmonary resuscitation (median age of 57.1 years, 68% were male), 16.5% (n = 1787) experienced acute brain injury. The area under the receiver operator characteristic curves for acute brain injury, central nervous system ischemia, and intracranial hemorrhage were 0.72, 0.73, and 0.69, respectively. Longer extracorporeal membrane oxygenation duration, older age, and higher 24-hour extracorporeal membrane oxygenation pump flow were associated with acute brain injury. Conclusions: In the largest study predicting neurological complications with machine learning in extracorporeal membrane oxygenation, longer extracorporeal membrane oxygenation duration and higher 24-hour pump flow were associated with acute brain injury in nonextracorporeal cardiopulmonary resuscitation and extracorporeal cardiopulmonary resuscitation venoarterial extracorporeal membrane oxygenation.
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- 2024
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75. Standardized intrapulmonary lymph node dissection in lung cancer specimens: A national Colombian analysisCentral MessagePerspective
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Habib Jussef Mantilla Gaviria, MD, Stella Isabel Martinez Jaramillo, MD, Carlos Andrés Carvajal Fierro, MD, Ricardo Adolfo Zapata González, MD, Camilo Montoya Medina, MD, Luis Gerardo Garcia-Herreros Hellal, MD, Luis Jaime Tellez Rodriguez, MD, Juan Carlos Garzon Ramírez, MD, Darwin Jose Padilla Padilla, MD, Alberto Alejandro Correa Solano, MD, Rodolfo Barrios del Rio, MD, Mauricio Peláez Arango, MD, Willfredy Castaño Ruiz, MD, Andres Zerrate Misas, MD, Lina Velásquez Gómez, MD, Rafael José Beltrán Jiménez, MD, Miguel Ricardo Buitrago Ramírez, MD, José Andres Eduardo Jimenez Quijano, MD, Fredy Orlando Mendivelso Duarte, MD, and Paula Antonia Ugalde Figueroa, MD
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lung neoplasms ,neoplasms staging ,lymphatic metastasis ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 ,Surgery ,RD1-811 - Abstract
Objective: In patients with non–small cell lung cancer, lymph node assessment is essential for appropriate staging. The intrapulmonary lymph nodes (IPLNs) should be considered when assigning the N stage but are infrequently evaluated in Colombian centers, resulting in understaging that may hinder optimal treatment. Methods: We conducted a prospective study of IPLN dissection in patients with clinical stage I or II non–small cell lung cancer who underwent surgical resection at 9 institutions in Colombia between 2021 and 2023. IPLN dissection was performed by trained surgeons who collected lymph nodes from fresh specimens after resection and before formalin fixation. Results: One hundred patients were eligible for the analysis. Their mean age was 67 ± 10.9 years, and 76% were women. Most (74%) had adenocarcinoma, 20% had neuroendocrine tumors, and 6% had squamous cell carcinoma. Successful sampling and histopathologic analysis of at least one IPLN station was obtained in 85% of patients, 9% had upstaging due to positive N2 lymph nodes, and 5% had upstaging due to positive N1 lymph nodes. Among the patients with pN0 or pN1 disease, 3.2% (3 out of 91) were upstaged exclusively due to positive IPLNs. Conclusions: Fresh-specimen dissection to collect IPLNs is appropriate and feasible to achieve more accurate pathological staging in Colombian lung cancer patients. In clinical N0 patients, IPLN dissection maximizes selection for adjuvant therapy.
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- 2024
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76. Growth differentiation factor 15 is not modified after weight loss induced by liraglutide in South Asians and Europids with type 2 diabetes mellitus
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Carlijn A. Hoekx, Maaike E. Straat, Maurice B. Bizino, Huub J. vanEyk, Hildebrandus J. Lamb, Johannes W. A. Smit, Ingrid M. Jazet, Saskia C. A. deJager, Mariëtte R. Boon, and Borja Martinez‐Tellez
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ethnic differences ,metabolic diseases ,obesity ,weight‐reducing drugs ,Physiology ,QP1-981 - Abstract
Abstract Glucagon‐like peptide‐1 receptor (GLP‐1R) agonists induce weight loss in patients with type 2 diabetes mellitus (T2DM), but the underlying mechanism is unclear. Recently, the mechanism by which metformin induces weight loss could be explained by an increase in growth differentiation factor 15 (GDF15), which suppresses appetite. Therefore, we aimed to investigate whether the GLP‐1R agonist liraglutide modifies plasma GDF15 levels in patients with T2DM. GDF15 levels were measured in plasma samples obtained from Dutch Europids and Dutch South Asians with T2DM before and after 26 weeks of treatment with daily liraglutide (n = 44) or placebo (n = 50) added to standard care. At baseline, circulating GDF15 levels did not differ between South Asians and Europids with T2DM. Treatment with liraglutide, compared to placebo, decreased body weight, but did not modify plasma GDF15 levels in all patients, or when data were split by ethnicity. Also, the change in plasma GDF15 levels after treatment with liraglutide did not correlate with changes in body weight or HbA1c levels. In addition, the dose of metformin used did not correlate with baseline plasma GDF15 levels. Compared to placebo, liraglutide treatment for 26 weeks does not modify plasma GDF15 levels in Dutch Europid or South Asian patients with T2DM. Thus, the weight loss induced by liraglutide is likely explained by other mechanisms beyond the GDF15 pathway. Highlights What is the central question of this study? Growth differentiation factor 15 (GDF15) suppresses appetite and is increased by metformin: does the GLP‐1R agonist liraglutide modify plasma GDF15 levels in patients with type 2 diabetes mellitus (T2DM)? What is the main finding and its importance? Plasma GDF15 levels did not differ between South Asians and Europids with T2DM and were not modified by 26 weeks of liraglutide in either ethnicity. Moreover, there was no correlation between the changes in plasma GDF15 levels and dosage of metformin administered, changes in body weight or HbA1c levels. The appetite‐suppressing effect of liraglutide is likely exerted via pathways other than GDF15.
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- 2024
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77. Efficacy of liver free and Chitosan against Eimeria tenella in chickens
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Zhang Yu, Abdulaziz Alouffi, Ebtsam Al-Olayan, Gungor Cagdas Dincel, Guillermo Tellez-Isaias, Inkar Castellanos-Huerta, Danielle Graham, Victor M. Petrone-Garcia, Beniamino T. Cenci-Goga, Luca Grispoldi, Luís Madeira de Carvalho, and Saeed El-Ashram
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Liver free ,Chitosan ,Eimeria tenella ,Growth parameter ,Cecal histology ,Veterinary medicine ,SF600-1100 - Abstract
Abstract Eimeria spp. are the pathogen that causes coccidiosis, a significant disease that affects intensively reared livestock, especially poultry. Anticoccidial feed additives, chemicals, and ionophores have routinely been employed to reduce Eimeria infections in broiler production. Therefore, the shift to antibiotic-free and organic farming necessitates novel coccidiosis preventive strategies. The present study evaluated the effects of potential feed additives, liver free and chitosan, against Eimeria tenella infection in White Leghorn broiler female chickens. One hundred sixty-five 1-day-old White Leghorn broiler female chicks were divided into 11 groups (15 female chicks per group), including the positive control group (G1), the negative control group (G2), a chitosan-treated group (G3), a chitosan-treated-infected group (G4), the liver free-treated group (G5), the liver free-treated-infected group (G6), the liver free-and-chitosan-treated group (G7), the liver free-and-chitosan-infected group (G8), the therapeutic liver free-and-chitosan-treated-infected group (G9), the sulfaquinoxaline-treated group (G10), and the sulfaquinoxaline-treated-infected group (G11). Chitosan was fed to the chicks in G3 and G4 as a preventative measure at a dose of 250 mg/kg. The G5 and G6 groups received 1.5 mg/kg of Liverfree. The G7 and G8 groups received chitosan and Liverfree. The G10 and G11 groups were administered 2 g/L of sulfaquinoxaline. From the moment the chicks arrived at Foshan University (one-day-old chicks) until the completion of the experiment, all medications were given to them as a preventative measure. G8 did; however, receive chitosan and liver free as therapeutic supplements at 7 dpi. The current study showed that the combination of liver free and chitosan can achieve better prophylactic and therapeutic effects than either alone. In E. tenella challenged chickens, G8 and G9 chickens showed reduced oocyst shedding and lesion score, improved growth performance (body weight, body weight gain, feed intake, feed conversion ratio, and mortality rate), and cecal histology. The current study demonstrates that combining liver free and chitosan has superior preventive and therapeutic benefits than either alone, and they could also be used as alternative anticoccidial agents.
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- 2024
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78. Creative connections: the neural correlates of semantic relatedness are associated with creativity
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Caroline Herault, Marcela Ovando-Tellez, Izabela Lebuda, Yoed N. Kenett, Benoit Beranger, Mathias Benedek, and Emmanuelle Volle
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Biology (General) ,QH301-705.5 - Abstract
Abstract The associative theory of creativity proposes that creative ideas result from connecting remotely related concepts in memory. Previous research found that higher creative individuals exhibit a more flexible organization of semantic memory, generate more uncommon word associations, and judge remote concepts as more related. In this study (N = 93), we used fMRI to investigate brain regions involved in judging the relatedness of concepts that vary in their semantic distance, and how such neural involvement relates to individual differences in creativity. Brain regions where activity increased with semantic relatedness mainly overlapped with default, control, salience, semantic control, and multiple demand networks. The default and semantic control networks exhibited increased involvement when evaluating more remote associations. Finally, higher creative people, who provided higher relatedness judgements on average, exhibited lower activity in those regions, possibly reflecting higher neural efficiency. We discuss these findings in the context of the neurocognitive processing underlying creativity. Overall, our findings indicate that judging remote concepts as related reflects a cognitive mechanism underlying creativity and shed light on the neural correlates of this mechanism.
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- 2024
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79. On the Notion of a Function of Bounded Variation and of Riemann-Stieltjes Integral with Strong Partitions on Hyperbolic Intervals
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Tellez-Sanchez, Gamaliel and Reyes, Juan Bory
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Mathematics - Complex Variables - Abstract
In this paper we provided a classification for partitions of intervals on the hyperbolic plane. Given a partition, to be named strong, we define a notion of a hyperbolic-valued functions of bounded variation and a kind of Riemann-Stieltjes integral. A condition relating to both concepts appears to be natural for the existence of the integral, as it occurs in real analysis., Comment: arXiv admin note: text overlap with arXiv:2111.14019
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- 2023
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80. Like-charge attraction in one- and two-dimensional Coulomb systems
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Tellez, Gabriel
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Condensed Matter - Statistical Mechanics - Abstract
The bare Coulomb interaction between two like-charges is repulsive. When these charges are immersed in an electrolyte, the thermal fluctuations of the ions turn the bare Coulomb interaction into an effective interaction between the two charges. An interesting question arises: is it possible that the effective interaction becomes attractive for like-charges? We will show how this like-charge attraction phenomenon is indeed predicted in some one- and two-dimensional models of Coulomb systems. Exact analytical results can be obtained for these Coulomb systems models due to some connections that they have with integrable field theories. We will explain the techniques that allow obtaining exact results for the correlation functions between like-charge particles and how, under certain circumstances, the natural repulsion interaction shifts to being attractive. Although the technical details differ for 1d or 2d systems, the physical cause of this phenomenon is rooted in a three-body interaction between the two like-charges and an ion of the electrolyte with an opposite charge., Comment: Invited talk at Strongly Coupled Coulomb Systems 2022
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- 2023
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81. A new evaluation of the $HZZ$ coupling: direct bounds on anomalous contributions and $CP$ violating effects via a new asymmetry
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Hernández-Juárez, A. I., Tavares-Velasco, G., and Fernández-Téllez, A.
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High Energy Physics - Phenomenology - Abstract
The standard model (SM) one-loop contributions to the most general $H^*Z^*Z^*$ coupling are obtained via the background field method in terms of Passarino-Veltman scalar functions, from which the contributions to the $H^*ZZ$ and $HZZ^*$ couplings are obtained in terms of two $CP$-conserving $h_{1,2}^V$ and one $CP$-violating $h_3^V$ form factors ($V=H, Z$). The current CMS constraints on the $HZZ$ coupling ratios are then used to obtain bounds on the real and absorptive parts of the anomalous $HZZ$ couplings. The former are up to two orders of magnitude tighter than previous ones, whereas the latter are the first one of this kind. The effects of the absorptive parts of the $HZZ$ anomalous couplings, which have been overlooked in the past, are analyzed via the partial decay width $\Gamma_{H^\ast\rightarrow ZZ}$, and a significant deviation from the SM tree-level contribution is observed at low energies, though it becomes negligible at high energies. We also explore the possibility that polarized $Z$ gauge bosons are used for the study of non-SM $HZZ$ contributions via a new left-right asymmetry $\mathcal{A}_{LR}$, which is sensitive to $CP$-violating complex form factors and can be as large as the unity at most, though in a more conservative scenario it is four to five orders of magnitude larger than the SM prediction arising up to the three-loop level. The partial decay widths $\Gamma_{H^\ast\rightarrow Z_LZ_L}$ and $\Gamma_{H^\ast\rightarrow Z_RZ_R}$ are also studied in several scenarios and it is observed that the deviations from the SM can be large at high energies and increases as the energy increases. Thus, the use of polarized $Z$ gauge bosons could give hints of $CP$ violation. The Mathematica code for our analytical results and the numerical evaluation is available in our GitLab site., Comment: Similar to the PRD publication
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- 2023
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82. Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study
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Wagner, Sophia J., Reisenbüchler, Daniel, West, Nicholas P., Niehues, Jan Moritz, Veldhuizen, Gregory Patrick, Quirke, Philip, Grabsch, Heike I., Brandt, Piet A. van den, Hutchins, Gordon G. A., Richman, Susan D., Yuan, Tanwei, Langer, Rupert, Jenniskens, Josien Christina Anna, Offermans, Kelly, Mueller, Wolfram, Gray, Richard, Gruber, Stephen B., Greenson, Joel K., Rennert, Gad, Bonner, Joseph D., Schmolze, Daniel, James, Jacqueline A., Loughrey, Maurice B., Salto-Tellez, Manuel, Brenner, Hermann, Hoffmeister, Michael, Truhn, Daniel, Schnabel, Julia A., Boxberg, Melanie, Peng, Tingying, and Kather, Jakob Nikolas
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Background: Deep learning (DL) can extract predictive and prognostic biomarkers from routine pathology slides in colorectal cancer. For example, a DL test for the diagnosis of microsatellite instability (MSI) in CRC has been approved in 2022. Current approaches rely on convolutional neural networks (CNNs). Transformer networks are outperforming CNNs and are replacing them in many applications, but have not been used for biomarker prediction in cancer at a large scale. In addition, most DL approaches have been trained on small patient cohorts, which limits their clinical utility. Methods: In this study, we developed a new fully transformer-based pipeline for end-to-end biomarker prediction from pathology slides. We combine a pre-trained transformer encoder and a transformer network for patch aggregation, capable of yielding single and multi-target prediction at patient level. We train our pipeline on over 9,000 patients from 10 colorectal cancer cohorts. Results: A fully transformer-based approach massively improves the performance, generalizability, data efficiency, and interpretability as compared with current state-of-the-art algorithms. After training on a large multicenter cohort, we achieve a sensitivity of 0.97 with a negative predictive value of 0.99 for MSI prediction on surgical resection specimens. We demonstrate for the first time that resection specimen-only training reaches clinical-grade performance on endoscopic biopsy tissue, solving a long-standing diagnostic problem. Interpretation: A fully transformer-based end-to-end pipeline trained on thousands of pathology slides yields clinical-grade performance for biomarker prediction on surgical resections and biopsies. Our new methods are freely available under an open source license., Comment: Updated Figure 2 and Table A.5
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- 2023
83. Acetogenins from Annona muricata as Antimicrobial Agents
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Aguilar-Hernández, Gabriela, primary, A. López-Romero, Brandon, additional, Huerta-Castellanos, Inkar, additional, Tellez-Isaias, Guillermo, additional, and Montalvo-González, Efigenia, additional
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- 2024
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84. Implementation of a Social Media Strategy for Public Health Promotion in Black, American Indian or Alaskan Native, and Hispanic or Latino Communities During the COVID-19 Pandemic: Cross-Sectional Study
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Maria Mora Pinzon, Ornella Hills, George Levy, Taryn T James, Ashley Benitez, Sacheen Lawrence, Tiffany Ellis, Venus Washington, Lizbeth Solorzano, Patricia Tellez-Giron, Fernando Cano Ospina, Melissa F Metoxen, and Carey E Gleason
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Public aspects of medicine ,RA1-1270 - Abstract
BackgroundIndividuals identifying as Black, American Indian or Alaska Native, or Hispanic or Latino lack access to culturally appropriate accurate information and are the target of disinformation campaigns, which create doubt in science and health care providers and might play a role in sustaining health disparities related to the COVID-19 pandemic. ObjectiveThis study aims to create and disseminate culturally and medically appropriate social media messages for Black, Latino, and American Indian or Alaska Native communities in Wisconsin and evaluate their reach and effectiveness in addressing the information needs of these communities. MethodsOur team identified relevant COVID-19 topics based on feedback from their respective community, developed lay format materials, and translated materials into culturally appropriate social media messages that community advocates delivered across their respective communities. Social media metrics (reach, engagement, and impressions) were collected using Sprout Social and Facebook Analytics. We hosted 9 focus groups with community members to learn about their social media use. These data were analyzed using an inductive approach, using NVivo software (release 1.7) to code content. ResultsBetween August 2021 and January 2023, we created 980 unique social media posts that reached 88,790 individuals and gathered >6700 engagements. Average reach per post was similar across the 3 communities, despite differences in the number of posts and followers on each page: 119.46 (Latino individuals), 111.74 (Black individuals), and 113.11 (Oneida Nation members). The type of posts that had higher engagement rate per reached person (ERR) varied across communities and platforms, with the highest being live videos for the Latino community on Facebook (ERR 9.4%), videos for the Black community on Facebook (ERR 19.53%), and social media messages for the Oneida Nation community (ERR 59.01%). ConclusionsOur project presents a unique and effective model for health messages and highlights the need for tailoring social media messages and approaches for minoritized audiences (eg, age, gender, race, and ethnicity). Further research studies are needed to explore how specific types of information affect the dissemination of information and the implications for health communications.
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- 2024
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85. Biología floral, sistema reproductivo y polinizadores efectivos de la bromelia epífita Tillandsia limbata
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Bruno Enrique Tellez-Baños, José G. García-Franco, M. Cristina MacSwiney G., Juan Carlos López-Acosta, and Thorsten Krömer
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Autoincompatibilidad ,éxito reproductivo ,florivoría ,limitación de polen ,ornitofilia ,secreción de néctar ,Botany ,QK1-989 - Abstract
Antecedentes: La familia Bromeliaceae presenta una de las radiaciones adaptativas más notables dentro de las angiospermas, en parte debido a su diversidad de estrategias reproductivas. No obstante, apenas se conocen los polinizadores para el 4 % de sus más de 3,800 especies. Preguntas: ¿Cómo es el patrón de floración? ¿Cuáles son las características del néctar? ¿Cuál es el sistema reproductivo? ¿Cuáles son los polinizadores efectivos? Especie estudiada: Tillandsia limbata Schldl. Lugar de estudio y fechas: Catemaco, Veracruz, México, de abril a octubre de 2021. Métodos: La fenología se determinó registrando diariamente el número de flores abiertas y sus características morfológicas en las diferentes etapas de la antesis. La secreción de néctar se evaluó realizando extracciones durante la antesis. Los visitantes florales se registraron mediante grabaciones y observaciones directas. El sistema reproductivo y la efectividad de los polinizadores se determinó empleando experimentos de polinización controlada. Resultados: Tillandsia limbata produce en promedio 2.6 flores diarias, con una secreción de néctar constante durante el día y un sistema de autoincompatibilidad con alta capacidad xenógama. Se registraron diez especies de visitantes florales, los más frecuentes fueron la abeja Trigona fulviventris y el colibrí Anthracothorax prevostii. Conclusiones: Los polinizadores efectivos de T. limbata son los colibríes, ya que propician la mayor producción de frutos y semillas. Las abejas son polinizadores secundarios; sin embargo, roban polen y néctar, consumen partes florales y desplazan a los colibríes de las flores, lo que afecta negativamente el éxito reproductivo de esta bromelia.
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- 2024
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86. High activity and specificity of bacteriophage cocktails against carbapenem-resistant Klebsiella pneumoniae belonging to the high-risk clones CG258 and ST307
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Sara Tellez-Carrasquilla, Lorena Salazar-Ospina, and J. Natalia Jiménez
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carbapenem-resistant ,Klebsiella pneumoniae ,bacteriophage ,CG258 ,ST307 ,cocktails ,Microbiology ,QR1-502 - Abstract
IntroductionThe widespread clinical and environmental dissemination of successful clones of carbapenem-resistant Klebsiella pneumoniae (CRKP) represents a serious global public health threat. In this context, lytic bacteriophages have emerged as a promising alternative for controlling these pathogens. This study describes the biological, structural, and genomic characteristics of lytic bacteriophages against the high-risk CRKP clones CG258 and ST307 and describes their performance in combination.MethodsAn experimental study was carried out. Bacteriophages were isolated from hospital wastewater and from wastewater treatment plants (WWTP). Bacteriophages were isolated using the double layer agar technique and their characterization included host range (individual and cocktail), plating efficiency (EOP), infection or bacterial killing curve, one-step curve, bacteriophage stability at pH and temperature conditions, transmission electron microscopy (TEM) and whole genome sequencing.ResultsAfter purification, five active bacteriophages against CRKP were obtained, three bacteriophages (FKP3, FKP4 and FKP14) had targeted activities against CG258 CRKP and two (FKP10 and FKP12) against ST307 isolates. Seven cocktails were prepared, of which Cocktail 2, made up of the bacteriophages FKP3, FKP10, and FKP14, showed the best activity against 85.7% (n = 36/42) of CRKP isolates belonging to both clones, CG258 (80.8%; n = 21/26) and ST307 (93.8%, n = 15/16). The efficiency of the plating (EOP), infection curve, and one-step growth curve showed that the cocktail phages efficiently infected other CRKP isolates (EOP ≥ 0.5), controlled bacterial growth up to 73.5%, and had short latency periods, respectively, (5–10 min). In addition, they were stable at temperatures between 4°C and 50°C and pH between 4 and 10. All bacteriophages belonged to the Caudoviricetes class, and no genes associated with virulence factors or antibiotic resistance were detected.ConclusionThese findings showed bacteriophages and phage cocktails with high specificity against CRKP belonging to the successful clones CG258 and ST307 with promising characteristics, making them an alternative for controlling these clones in different environmental or health settings, biocontrol agents, or disinfectants in industry and in the field of diagnosis.
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- 2024
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87. P-78 DECOMPENSATED CIRRHOSIS IN A LARGE MULTINATIONAL COHORT IN LATIN AMERICA: MORTALITY IS TOO HIGH IN THE REGION REGARDLESS OF ETIOLOGY AND COUNTRY
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Mario Alvares-Da-Silva Reis, Aldo Torre, Carlos Benitez, Jacqueline Cordova-Gallardo, Alberto Farias Queiroz, Sarai Gonzalez-Hueso, Rene Male Velazquez, Sebastian Marciano, Gustavo Pereira, Jose Luis Perez-Hernandez, Jose Antonio Velarde-Ruiz, Marco Arrese, Araceli Bravo Cabrera, Francisco Felix-Tellez, Adrian Gadano, Oscar Morales Gutierrez, Matheus Michalczuk, Lilian Torres, Scott Silvey, Brian Bush, and Jasmohan Bajaj S
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Specialties of internal medicine ,RC581-951 - Abstract
Conflict of interest: No Introduction and Objectives: Decompensated cirrhosis (DC) is an important cause of death worldwide, including in Latin America. This study aimed to evaluate in-hospital and 30-day post-discharge mortality in a multinational cohort in Latin America. Patients / Materials and Methods: Non-elective cirrhosis admissions from Nov 2021 to Aug 2022 in sites from Mexico, Brazil, Argentina and Chile were included. Demographics, admission medications, prior conditions, etiology, and other data around admission were collected from patients and their medical records. Continuous variables were summarized using mean (± SD), and categorical variables as counts (%). Main outcomes were inpatient mortality/hospice and 30-day post-discharge mortality. Univariable comparisons were compared between outcomes using two-sample t-tests or chi-squared tests as appropriate. Multivariable models controlling for all variables significantly associated with outcomes at the p < 0.05 level were fit. Results and Discussion: Of 651 patients with valid inpatient outcomes, 158 died in-hospital or were moved to hospice (24.3%). At 30-days, 139 were lost to follow-up, leaving 512 patients. Of these, 172 died by 30 days (33.6%). In-hospital and 30-days mortality were not affected by etiology (HBV, HCV, MASLD, crypto). Variables significantly associated with mortality at both timepoints were prior LVP/HE, admission medications, prior infection, liver-related admission, and higher MELD-Na (Table 1). On multivariable analysis, admission betablockers and lactulose were associated with high mortality; MELD-Na and infection on admission were associated to death at both timepoints (Table 2) Conclusions: DC is associated with significant in-patient and 30-day mortality in the region, regardless of etiology and country, especially in patients with higher MELD-Na and/or infected on admission.
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- 2024
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88. Impact of SARS-CoV-2 vaccination in patients with vascular liver diseases: Observations from a VALDIG multicenter study
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Valeria Perez-Campuzano, Pierre-Emmanuel Rautou, Thomas Marjot, Michael Praktiknjo, Edilmar Alvarado-Tapias, Laura Turco, Luis Ibáñez-Samaniego, Carlos González-Alayón, Ángela Puente, Elba Llop, Macarena Simón-Talero, Carmen Álvarez-Navascués, Thomas Reiberger, Xavier Verhelst, Luis Tellez, Johanna Birte Bergmann, Lara Orts, Giuseppe Grassi, Anna Baiges, Payance Audrey, Jonel Trebicka, Candid Villanueva, Maria Cristina Morelli, Sam Murray, Georgina Meacham, Marc Luetgehetmann, Julian Schulze zur Wiesch, Juan-Carlos García-Pagán, Eleanor Barnes, Aurélie Plessier, and Virginia Hernández-Gea
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Vascular liver disease ,COVID-19 vaccine ,portal thrombosis ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Background & Aims: Patients with vascular liver diseases (VLD) are at higher risk of both severe courses of COVID-19 disease and thromboembolic events. The impact of SARS-CoV-2 vaccination in patients with VLD has not been described and represents the aim of our study. Methods: International, multicenter, prospective observational study in patients with VLD analyzing the incidence of COVID-19 infection after vaccination, severity of side effects, occurrence of thromboembolic events and hepatic decompensation. In a subgroup of patients, the humoral and cellular responses to vaccination were also analyzed. Results: A total of 898 patients from 14 European centers – part of the VALDIG network – were included, 872 (97.1%) patients received two vaccine doses (fully vaccinated), and 674 (75.1%) three doses. Of the total cohort, 151/898 had a COVID-19 infection prior to vaccination, of whom 9/151 (5.9%) were re-infected. Of the 747/898 patients who were not previously infected, 11.2% (84/747) were diagnosed with a COVID-19 infection during the study period. Two infected patients required intensive care unit admission and infection was fatal in two fully vaccinated patients. Adverse effects were reported in around 40% of patients, with local side effects being the most frequent. During the study period, 31 (3.5%) patients had thromboembolic events and 21 (2.3%) hepatic decompensations. No cases of vaccine-induced thrombocytopenia were reported. Vaccine immunogenicity was assessed in 36 patients; seroconversion reached 100% and IFNy T-cell responses significantly increased post two mRNA-1273 vaccine doses. Conclusion: Patients with VLD seem to have a preserved immune response to SARS-CoV-2 vaccination, which appears to be safe and effective in preventing severe COVID-19 infection. Our study cannot definitively establish a direct link between vaccination and thrombotic events, though the contribution of vaccination as a cofactor in VLD remains to be elucidated. Impact and implications:: Patients with vascular liver disease (VLD) are at increased risk of both SARS-CoV-2 infection and severe COVID-19 disease. The potential risks associated with vaccination against this infection need thorough investigation. Our research enhances the understanding of the effects of COVID-19 vaccination in patients with VLD, highlighting its good tolerability. Moreover, patients with VLD appear to have a preserved immune response to SARS-CoV-2 vaccination, providing protection against severe COVID-19 infection. Our study cannot definitively establish a direct link between vaccination and thrombotic events, and no cases of vaccine-induced thrombocytopenia were reported.
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- 2024
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89. The pattern of brittle deformation in Central America for an assessment of the seismo-tectonic framework
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Mauro Agate, Francesco Caldareri, Luis Castillo, Amalia Garcia, Giuseppe Giunta, Luis Mixco, Jaime Requena, Carlos Rubi Tellez, Maynor Ruiz, Attilio Sulli, Abel Alexei Argueta-Platero, Heyddy Calderon, Julio Luna, and Lidia Elizabeth Torres Bernhard
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Tectonics ,seismicity ,seismic hazard ,Central America ,Maps ,G3180-9980 - Abstract
ABSTRACTA seismo-tectonic map depicting the principal structural elements of the northern Central American region has been meticulously crafted to characterize the tectonic setting and the individual seismo-tectonic structures of this area. This region is subject to heightened seismic activity, with a large number of medium-high Magnitude occurrences transpiring annually. This map is presented alongside an informative dataset wherein fault trace locations, geometry and kinematics descriptors and other available metadata have been stored. Therefore, the map offers a detailed and up-to-date depiction of the brittle deformation across the region, serving as a valuable resource for a comprehensive assessment of the seismo-tectonic framework. Moreover, the map and its accompanying database summarize fault characteristics for seismic hazard analysts and for civil protection workers, proving to be useful instruments in pinpointing areas where urgent fault research should be conducted from a seismic risk standpoint.
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- 2024
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90. Nonsteroidal antiinflammatory drug-exacerbated respiratory disease: molecular mechanism, management and treatment
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J. J. Ley-Tomas, A. M. Xicotencatl-Tellez, M. L. García-Cruz, and M. A. Jiménez-Chobillon
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aspirin exacerbated respiratory disease ,AERD ,N-ERD ,Samter's triad ,chronic rhinosinusitis ,nasal polyposis ,Immunologic diseases. Allergy ,RC581-607 - Abstract
It has been estimated that Nonsteroidal Anti-inflammatory drug (NSAID) Exacerbated Respiratory Disease (N-ERD) previously named as Aspirin Exacerbated Respiratory Disease (A-ERD) affects around 1.4 million persons in the United States. Its prevalence in asthmatic patients has widely been underestimated, as a considerable number of patients would need an aspirin provocation test to confirm the diagnosis. N-ERD physiopathology is somehow complex, but basically involves an imbalance in the arachidonic acid metabolite pathway. The syndrome is characterized by the presence of asthma, chronic rhinosinusitis with nasal polyposis (CRSwNP) and NSAID and aspirin intolerance. Despite maximal and comprehensive medical treatment, the disease tends to be severe, with difficult to treat asthma and highly aggressive and recurrent ethmoidal polyposis. Recently, monoclonal antibodies aimed at reducing type 2 inflammation have demonstrated very promising results on disease control. The goal of this review is to provide the most recent published advances and evidence on physiopathology, diagnostic protocols and therapeutic strategies of N-ERD.
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- 2024
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91. Production and purification of outer membrane vesicles encapsulating green fluorescent protein from Escherichia coli: a step towards scalable OMV technologies
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Julian Daniel Torres-Vanegas, Nicolas Rincon-Tellez, Paula Guzmán-Sastoque, Juan D. Valderrama-Rincon, Juan C. Cruz, and Luis H. Reyes
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outer membrane vesicles ,green fluorescent protein ,protein encapsulation ,cell immobilization ,size exclusion chromatography (SEC) ,Biotechnology ,TP248.13-248.65 - Abstract
Outer membrane vesicles (OMVs) are spherical structures that contain a small fraction of the periplasm of Gram-negative bacteria, surrounded by its outer membrane. They are naturally produced and detached from the bacterial surface, participate in diverse biological processes, and their diameter size is in the range of 10–300 nm. OMVs have gained interest in different applications, such as the development of biosensors, vaccines, protein chips, and the encapsulation of heterologous proteins and peptides expressed by these microorganisms. However, the use of OMVs in these applications is limited due to the low yields and high purification costs. In this study, we produced green fluorescent protein (GFP) encapsulated into OMVs using Escherichia coli JC8031 transformed with pTRC99A-ssTorA-GFP to establish the production and purification route. Results showed that the motility of the strain prevents its immobilization in alginate, which hampers the purification of OMVs. To address this issue, a zeolite-based column was used to chromatographically separate the OMVs from smaller particles. Further experiments will be focused on standardizing the production and purification of OMVs at a scalable level.
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- 2024
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92. Structures, processes and outcomes between first referral and referral hospitals in low-income and middle-income countries: a secondary preplanned analysis of the FALCON and ChEETAh randomised trials
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Rajeev Sharma, Neha Mishra, Simon Cousens, Sanjay Gupta, Thomas Pinkney, Neil Smart, Jonathan Cook, Hemanth Kumar, Peter Brocklehurst, Mohammed Bashir, Dmitri Nepogodiev, Adesoji O Ademuyiwa, Philip Alexander, Laura Magill, Rachel Moore, Stephen Tabiri, Joseph Yorke, Dion Morton, Aneel Bhangu, Bryar Kadir, Naveen Sharma, Punam Mistry, Joshua Arthur, Muneer A Malik, Tracy Roberts, Elisee Rwagahirima, Christian Urimubabo, Ewen Harrison, Vijay Kumar, Julia Brown, Pollyanna Hardy, Amit Mahajan, Pratik Solanki, James Glasbey, Himani Gupta, Omar Omar, Joana Simoes, Sivesh K Kamarajah, Adesoji Ademuyiwa, Felix Alakaloko, Olumide Elebute, Omolara Faboya, Justina Seyi-Olajide, Anita Thomas, David Lissauer, Zainab Imam, George Ihediwa, Zainab O Imam, Felix M Alakaloko, Pradeep Zechariah, Suraj Surendran, Olatunji O Lawal, Mohammed Adnan, Savleen Kaur, Faustin Ntirenganya, JC Allen Ingabire, Lawani Ismaïl, Emmy Runigamugabo, Djifid Morel Seto, Paul Wondoh, Charles Dally, Kwabena Agbedinu, Florence Dedey, Enoch Tackie, Frank Enoch Gyamfi, Anthony Davor, Akinlabi Ajao, Omobolaji Ayandipo, Olalekan Ajai, Mobolaji Oludara, Muhammad Daniyan, Danjuma Sale, Lawal Abdullahi, Olabisi Osagie, Adedeji Fatuga, Muzzammil Abdullahi, Manish Pathak, Prashant Singh, Rita Jain, Kwaku Boakye-Yiadom, Kazeem Atobatele, Ayokunle Ogunyemi, Olabode Oshodi, Christopher Bode, Omobolaji O Ayandipo, Akinlabi E Ajao, Godwin Akaba, Gabriella Hyman, Deepak Singh, Olukemi Akande, Sivesh Kathir Kamarajah, Naseem Akhtar, José A Flores, Donna Smith, Olatunji Lawal, Hadijat Olaide Raji, Zafar Khan, Matthew Francis, Emmanuel Williams, Pardeep Kumar, Oliver Samuel, María Paz Muñoz, Arun Chaturvedi, Sameer Gupta, Puneet Prakash, John Raphael, Funmilola Wuraola, Olalekan Olasehinde, Murlidhar V Pai, Deepak Jain, Anwar Sadat Seidu, Victor Ifeanyichukwu Modekwe, Jideofor Okechukwu Ugwu, Lukmon Amosu, Akan Inyang, Michael Amoah, Boateng Nimako, Dhruva Ghosh, Neil Winkles, Olabisi O Osagie, Karolin Kroese, Olubunmi Ogein, Mustapha Yakubu, Vasanth Mark Samuel, Cecil Thomas, Enono Yhoshu, Vishal Michael, William Bhatti, Swati Daniel, Jyoti Dhiman, Atul Suroy, Christopher O Bode, George C Ihediwa, Adaiah Soibi-Harry, Benedetto Osunwusi, Elizabeth Li, Sonia Mathai, Deepak Singla, Farhanul Huda, Aisha Mustapha, Anisah Yahya, Samuel Mensah, Puneet Pareek, Bernard Ofori, Souliath Lawani, Oluwafunmilayo Adeniyi, Opeyemi Rebecca Akinajo, Richard Ofosu-Akromah, Olumide Adeniyi, Adewale O. Adisa, Natacha Boumas, Fareeda Galley, Frank Enoch Gyamfi Parvez D Haque, Antonio Ramos de la Medina, Chukwuma Okereke, Ronald Tubasime, Felicity Brant, Sohini Chakrabortee, Parvez D Haque, Emily Heritage, Carmela Lapitan, Rachel Lillywhite, Pierre Sodonougbo, Pamphile Assouto, Michel Fiogbe, Houenoukpo Koco, Serge Metchinhoungbe, Hodonou Sogbo, Hulrich Behanzin, Yannick Tandje, Sosthène Kangni, Cyrile Kpangon, Marcelin Akpla, Hugues Herve Chobli, Blaise Kovohouande, Gérard Agboton, Rene Ahossi, Raoul Baderha Ngabo, Nathan Bisimwa, Covalic Melic Bokossa Kandokponou, Mireille Dokponou, Francis Moïse Dossou, Corinne Dzemta, Antoine Gaou, Roland Goudou, Emmanuel Hedefoun, Sunday Houtoukpe, Felix Kamga, Eric Kiki- Migan, Ismaïl Lawani, René Loko, Afissatou Moutaïrou, Pencome Ogouyemi, Fouad Soumanou, Pia Tamadaho, Mack-Arthur Zounon, Luke Aniakwo Adagrah, Bin Baaba Alhaji Alhassan, Mabel Pokuah Amoako-Boateng, Anthony Baffour Appiah, Alvin Asante-Asamani, Benedict Boakye, Samuel A Debrah, Donald Enti, Rahman Adebisi Ganiyu, Patience Koggoh, Richard Kpankpari, Isabella Naa M. Opandoh, Meshach Agyemang Manu, Maison Patrick Opoku Manu, Martin Tangnaa Morna, John Nkrumah, Michael Nortey, Emmanuel Owusu Ofori, Elizaberth Mercy Quartson, Esther Adjei-Acquah, Eric Agyemang Vera Agyekum, Rebecca Adjeibah Akesseh, Forster Amponsah-Manu, Ato Oppong Acquah, Leslie Issa Adam-Zakariah, Esther Asabre, Ruby Acheampong Boateng, Barbara Koomson, Ataa Kusiwaa, Emmanuel Yaw Twerefour, James Ankomah, Frank Assah-Adjei, Anthony Appiah Boakye, Godfred Fosu, Godwin Serbeh, Kofi Yeboah Gyan, Isaac Omane Nyarko, Zelda Robertson, Ralph Armah, Christopher Asare, Delali Akosua Gakpetor, Victoria Sena Gawu, Ambe Obbeng, Doris Ofosuhene, Dorcas Osei-Poku, Diana Puozaa, Arkorful Ebenezer Temitope, Regina Acquah, James Amoako, Akosua Dwamena Appiah, Mark Aseti, Charles Banka, Samuel Dadzie, Derick Essien, Romeo Hussey, Jemima Kwarteng, Naa Anyekaa Sowah, Grace Yeboah, Cynthia Yeboah, Kwame Gyambibi Addo, Enoch Appiah Akosa, Percy Boakye, Christian Larbi Coompson, Brian Gyamfi, Bismark Effah Kontor, Christian Kyeremeh, Ruth Manu, Elijah Mensah, Friko Ibrahim Solae, Gideon Kwasi Toffah, Dorcas Otuo Acheampong, Jane Acquaye, Michael Adinku, Anita Eseenam Agbeko, Emmanuel Gyimah Amankwa, George Amoah, Juliana Appiah, Alex Ayim, Emmanuel Kafui Ayodeji, Jonathan Boakye-Yiadom, Edward Amoah Boateng, Christian Kofi Gyasi-Sarpong, Naabo Nuhu Noel Hamidu, Iddrisu Haruna, Naa Kwarley, Agbenya Kobla Lovi, Bertina Beauty Nyadu, Dominic Opoku, Anita Osabutey, Robert Sagoe, Samuel Tuffour, Yaa Tufour, Francis Akwaw Yamoah, Abiboye Cheduko Yefieye, Nii Armah Adu-Aryee, Faisal Adjei, Erica Akoto, Elikem Ametefe, Joachim Kwaku Amoako, Godsway Solomon Attepor, George Darko Brown, Benjamin Fenu, Philemon Kwame Kumassah, David Olatayo Olayiwola, Theodore Wordui, Nelson Agboadoh, Fatao Abubakari, Cletus Ballu, Charles Gyamfi Barimah, Guy Casskey Boateng, Prosper Tonwisi Luri, Abraham Titigah, Frank Owusu, Raphael Adu-Brobbey, Abdul-Hamid Labaran, Junior Atta Owusu, Vivian Adobea, Amos Bennin, Fred Dankwah, Stanley Doe, Ruth Sarfo Kantanka, Ephraim Kobby, Kennedy Kofi Korankye Hanson Larnyor, Edwin Osei, Prince Yeboah Owusu, Clement Ayum Sie-Broni, Marshall Zume, Francis Atindaana Abantanga, Darling Ramatu Abdulai, Daniel Kwesi Acquah, Emmanuel Ayingayure, Imoro Osman, Sheba Kunfah, Gbana Limann, Shamudeen Alhassan Mohammed, Sheriff Mohammed, Yakubu Musah, Emmanuel Abem Owusu, Abdul-Hafiz Saba, Edwin Mwintiereh Ta-ang Yenli, Arun Gautham, Alice Hepzibah, Grace Mary, Dimple Bhatti, Karan Bir, Tapasya Dhar, Sunita Goyal, Goyal Ankush, Monika Hans, Parvez Haque, Samuel Konda, Anil Luther, Shalini Makkar, Kavita Mandrelle, Partho Mukherjee, Reuben Rajappa, Ravinder Thind, Alen Thomas, Arti Tuli, Sreejith Veetil, Esther Daniel Mark Jesudason, K Priyadarshini, Latha Madankumar, Rohin Mittal, Ida Nagomy, Rajesh Selvakumar, Bharat Shankar, Moonish Sivakumar, Rajeevan Sridhar, Devabalan Titus, Manisha Aggarwal, Parth Dhamija, Vinoth Kanna, Ashwani Kumar, Gurtaj Singh, Josy Thomas, Amos Dasari, Priya Jacob, Elizabeth Kurien, Arpit Mathew, Danita Prakash, Anju Susan, Rose Varghese, Rahul Alpheus, Ashish Choudhrie, Nitin Peters, Subrat Raul, Rakesh Vakil, Wenceslao Ángeles Bueno, Francisco Barbosa Camacho, Aldo Bernal Hernández, Ana Bogurin Arellano, Edgar Cortes Torres, Clotilde Fuentes Orozco, Erick González García de Rojas, Alejandro González Ojeda, Bertha Guzmán Ramírez, Michel Hernández Valadez, Diego Luna Acevedo, Rubén Morán Galaviz, Oscar Olvera Flores, José Pérez Navarro, Kevin Pintor Belmontes, Fernando Ramirez Marbello, Luis Ramírez-González, Laura Reyes Aguirre, Ramona Rojas García, Eduardo Valtierra Robles, Reyes Cervantes Ortiz, Gonzalo Hernandez Gonzalez, Rosa Hernandez Krauss, Luis Hernández Miguelena, Marco Hurtado Romero, Isaac Baltazar Gomez, Celina Cuellar Aguirre, Alejandro Cuevas Avendaño, Luis Dominguez Sansores, Hector Ortiz Mejia, Laura Urdapilleta Gomez del Campo, Claudia Caballero Cerdan, David Dominguez Solano, Rafael Toriz Garcia, Mariana Barreto Gallo, Ana Cortes Flores, Alejandro Gonzalez Ojeda, Monica Jimenez Velasco, Rozana Reyes Gamez, Roque Lincona Menindez, Alberto Navarrete Peón, Irani Durán Sánchez, Diana Gonzalez Vazquez, Maria Martínez Lara, Laura Martinez Perez Maldonado, Alejandra Nayen Sainz de la Fuente, Antonio Ramos De la Medina, Khadija Ado, Mohammed Aliyu, Lofty-John Anyanwu, Mahmoud Magashi, Abubakar Muhammad, Saminu Muhammad, Bello Muideen, Idris Takai, Onyekachi Ukata, Opeoluwa Adesanya, David Awonuga, Olushola Fasiku, Chidiebere Ogo, Moruf Abdulsalam, Abimbola Adeniran, Grace Eke, Esther Momson, Francisca Nwaenyi, Olufunmilade Omisanjo, Yusuf Oshodi, Yemisi Oyewole, Omotade Salami, Omolara Williams, Victoria Adeleye, Opeyemi Akinajo, David Akinboyewa, Iyabo Alasi, Oluwole Atoyebi, Olanrewaju Balogun, Orimisan Belie, Andrew Ekwesianya, Francis Ezenwankwo, Adesola Jimoh, Jubril Kuku, Oluwaseun Ladipo- Ajayi, Ayomide Makanjuola, Olayanju Mokwenyei, Samuel Nwokocha, Rufus Ojewola, Abraham Oladimeji, Thomas Olajide, Oluwaseun Oluseye, Aloy Ugwu, Ochomma Egwuonwu, Okechukwu Ekwunife, Victor Modekwe, Chukwuemeka Okoro, Chisom Uche, Kenneth Ugwuanyi, Chuka Ugwunne, Akeem Adeleke, Wilson Adenikinju, Akinfolarin Adepiti, Adewale Aderounmu, Abdulhafiz Adesunkanmi, Adewale Adisa, Samuel Ajekwu, Olusegun Ajenjfuja, Jerrie Akindojutimi, Akinbolaji Akinkuolie, Olusegun Alatise, Olubukola Allen, Micheal Archibong, Olukayode Arowolo, Deborah Ayantona, Ademola Ayinde, Olusegun Badejoko, Tajudeen Badmus, Amarachukwu Etonyeaku, Emeka Igbodike, Omotade Ijarotimi, Adedayo Lawal, Fayowole Nana, Tunde Oduanafolabi, Olaniyi Olayemi, Stephen Omitinde, Owolabi Oni, Chigozie Onyeze, Ernest Orji, Adewale Rotimi, Abdulkadir Salako, Olufemi Solaja, Oluwaseun Sowemimo, Ademola Talabi, Mohammed Tajudeen, Francis Adebayo, Oseremen Aisuodionoe- Shadrach, Lazarus Ameh, Ndubuisi Mbajiekwe, Felix Ogbo, Samson Olori, Samuel Sani Abu Sadiq, Nancy Tabuanu, Martins Uanikhoba, Godwin Chiejina, Ekpo Edet, Mary Isa, Faith Iseh, Adams Marwa, Sunday Ogbeche, Edima Olory, Gabriel Udie, Joseph Udosen, Usang Usang, Olukayode Abayomi, Rukiyat Abdus-Salam, Sikiru Adebayo, Olanrewaju Amusat, Kelvin Egbuchulem, Hyginus Ekwuazi, Peter Elemile, Taiwo Lawal, Solomon Olagunju, Peter Osuala, Bamidele Suleman, Augustine Takure, Lukman Abdur-Rahman, Nurudeen Adeleke, Muideen Adesola, Rafiat Afolabi, Sulaiman Agodirin, Isiaka Aremu, Jibril Bello, Saheed Lawal, Abdulwahab Lawal, Hadijat Raji, Olayinka Sayomi, Asimiyu Shittu, Jude Ede, Sebastian Ekenze, Vincent Enemuo, Matthew Eze, Uchechukwu Ezomike, Emmanuel Izuka, Okezie Mbadiwe, Ngozi Mbah, Uba Ezinne, Iweha Ikechukwu, Okoi Nnyonno, Philemon Okoro, Igwe Patrick, Oriji Vaduneme, Abhulimen Victor, Salathiel Kanyarukiko, Francine Mukaneza, Deborah Mukantibaziyaremye, Aphrodis Munyaneza, Gibert Ndegamiye, Ronald Tubasiime, Moses Dusabe, Emelyne Izabiriza, Hope Lydia Maniraguha, Christophe Mpirimbanyi, Josiane Mutuyimana, Olivier Mwenedata, Francine Uwizeyimana, Job Zirikana, Aime Dieudonne Hirwa, Elysee Kabanda, Salomee Mbonimpaye, Christine Mukakomite, Piolette Muroruhirwe, Georges Bucyibaruta, Gisele Juru Bunogerane, Sosthene Habumuremyi, Jean de Dieu Haragirimana, Alphonsine Imanishimwe, Violette Mukanyange, Emmanuel Munyaneza, Emmanuel Mutabazi, Isaie Ncogoza, Jeannette Nyirahabimana, Mary Augusta Adams, Richard Crawford, Chikwendu Jeffrey Ede, Maria Fourtounas, Morapedi Kwati, Mpho Nosipho Mathe, Ncamsile Anthea Nhlabathi, Hlengiwe Samkelisiwe Nxumalo, Paddy Pattinson, Nnosa Sentholang, Mmule Evelyn Sethoana, Maria Elizabeth Stassen, Laura Thornley, Cheryl Birtles, Mathete Ivy, Cynthia Mbavhalelo, Zain Ally, Abdus-sami Adewunmi, Maria Picciochi, Michael Bahrami-Hessari, Didier Ahogni Benin, Aristide Ahounou, K. Alassan Boukari, Oswald Gbehade, Thierry K Hessou, Sinama Nindopa, M.J. Bienvenue Nontonwanou, Nafissatou Orou Guessou, Arouna Sambo, Sorekou Victoire Tchati, Affisatou Tchogo, Semevo Romaric Tobome, Parfait Yanto, Isidore Gandaho, Armel Hadonou, Simplice Hinvo, Montcho Adrien Hodonou, Sambo Bio Tamou, Marie-Claire Kouroumta, Enrif Malade, Anne stredy Mkoh Dikao, Joel Nzuwa Nsilu, Nathan Bisimwa Mitima, Cyrille Kpangon, Stephane Laurent Loupeda, Mamonde Victorin Agbangla, Sena Emmanuel Hedefoun, Thierry Mavoha, Juvenal Ngaguene, Janvier Rugendabanga, Rish Romaric Soton, Martin Totin, Mouhamed Agbadebo, Irene Akpo, Hubert Dewamon, Martin Djeto, Aissatou Hada, Monsede Hollo, Albert Houndji, Anasthasie Houndote, Sylvestre Hounsa, Expedit Kpatchassou, Hugues Yome, Mohamed Moussa Alidou, Bonheur Dossou Yovo, Robert Guinnou, Souleymane Hamadou, Nabil Moussa, Boniface Cakpo, Lolyta Etchisse, Emery Hatangimana, Moise Muhindo, Katia Sanni, Agossou Barthelemy Yevide, Hermann Agossou, Fiston Basirwa Musengo, Bill Armstrong Alia, Arnaud Alitonou, Lucien Agbanda, Julien Attinon, Marcel Gbassi, Nounagnon Rene Hounsou, Derick Esssien, Yakubu Mustapha, Kojo Nunoo-Ghartey, Luke A Aniakwo, Margarey N M Adjei, Yvonne Adofo-Asamoah, Meshach M Agyapong, Thomas Agyen, Baba A B Alhassan, Mabel P Amoako-Boateng, Josephine Ashong, Joseph K Awindaogo, Benjamin B Brimpong, Makafui S C J K Dayie, Wendy W Ghansah, Jude E Gyamfi, Vincent Kudoh, Philip Mensah, Isabella N Morkor Opandoh, Martin T Morna, Emelia Odame, Emmanuel O Ofori, Sandra Quaicoo, Elizabert M Quartson, Cynthia Teye-Topey, Makafui Yigah, Safia Yussif, Vera O Agyekum-Gyimah, Eric Agyemang, Arko Akoto- Ampaw, Temitope E Arkorful, Moses A Dokurugu, Nanabanyin Essel, Aja Ijeoma, Emmanuel L Obiri, Karen N D Quarchey, Leslie Adam-Zakariah, Aaron B Andoh, Ruby A Boateng, Atta Kusiwaa, Adeline Naah, Ato Oppon-Acquah, Benjamin A Oppong, Emma A Agbowada, Ameley Akosua, O Lawrence Dorcas Acheampong, Frank E Gyamfi, Bertina B Nyadu, Samira Abdulai, Nii A Adu-Aryee, Joachim K Amoako, Nicholas T Aperkor, Wilfred K Asman, Godsway S Attepor, Antoinette A Bediako-Bowan, George D Brown, Victor K Etwire, Benjamin S Fenu, Philemon K Kumassah, Linda A Larbi-Siaw, Josephine Nsaful, David O Olatola, Sandra E Tsatsu, Iddrisu I A Abdul-Aziz, Johnson Akunyam, Gilbert A G Anasara, Charles G Barimah, Guy C Boateng, Ponala W Kwabena, Seidu M Kwarteng, Prosper T Luri, Kennedy Ngaaso, David K D Ogudi, Collins Kyeremeh, Clement Sie-Broni, Saba Abdul-Hafiz, Daniel K Acquah, Shamsudeen M Adams, Mohammed S Alhassan, Munira Amadu, Samuel A Asirifi, Martin Awe, Millicent Azanlerigu, Mathias K Dery, Yenli Edwin, Abantanga Atindaana Francis, Aloysius Maalekuu, Hawa Malechi, Ibrahim Mohammed, Kareem Mumuni, Bernard A Ofori, Jonathan I K Quansah, Napoleon Bellua Sam, Anwar S Seidu, Shekira Yahaya, Emmanuel Kojo Acquah, Jaabir Alhassan, Christian L Coompson, Addo K Gyambibi, Ametepe Jeffery-Felix, Bismark E Kontor, Gifty Naah, Carmen Noufuentes, Abraham Sakyi, Ramkaran Chaudhary, Sanjeev Misra, Dharma R Poonia, Kirti K Rathod, Mahaveer S Rodha, Nivedita Sharma, Subhash C Soni, Vaibhav K Varsheney, Jeevan R Vishnoi, Deepak K Garnaik, Manoj J Lokavarapu, Rohit Ranjan, Rajkumar K Seenivasagam, Shanky Singh, Raunak Verma, Suzan John, Jeffery A Kalyanapu, Ananta Kutma, Sanish Philips, Arun K Gautham, Deepak S Singh, Eunice S Abraham, Chetana Chetana, Prashant Dummala, Chinta S Gold, Jurgen Jacob, Jeremiah N Joseph, Elizabeth N Kurien, Priya Mary, Arpit J Mathew, Amy E Mathew, Danita D Prakash, Ashwin Sukumar, Niyah Syam, Alisha Bhatt, Dhruva N Ghosh, Ankush Goyal, Monika A Hans, Jyoti Jyoti, Karan Kumar, Vivin Daniel Sam, Ravinder Singh Thind, Sreejith K Veetil, Rahul Williams, D Sreekar, Esther R Daniel, Smitha E Jacob, Mark R Jesudason, Pushplatha Kumari, Soosan Prasad, Srujan Sharma, Moonish V Sivakumar, Paul Trinity, Sudheer Kanchodu, K Leshiini, Sundeep S Saluja, Ashok K Attri, Ishan Bansal, Monika Gureh, Simran Kapoor, Harmanjot Kaur, Simrandeep Singh, Viju John, Nivesh Agrawal, Uttkarsh Kumar, S Abhishek, Vikram Sehrawat, Gaurav Thami, Stanley Mathew, P S Prabhu, P T Sundeep, Shiv Rajan, Mohit Singh, Abhilasha Tripathi, Philip V Alexander, A Vijay, Moloti Kichu* Ismavel, Carolin V Solomi, Rahul A Alpheus, Ashish Victor Choudhrie, Rashmi Jacob Gunny, Susan Joseph, Nitin J Peters, Neha Pundir, Ram Samujh, Hafsa I Ahmed, Gowhar Aziz, Nisar A Chowdri, Rayees A Dar, Robindera Kour, Imtiyaz Mantoo, Asif Mehraj, Fazl Q Parray, Najmus Saqib, Zamir A Shah, Rauf A Wani, Komal Rautela, Nishu Singh, Priyanka Chowdhury, Sona Chowdhury, Pragyanmai Nayak, Bipradas Roy, Andrea S Alvarez Villaseñor, Kriscia V Ascencio Díaz, Victor J Avalos Herrera, Francisco J Barbosa, Elyoenai Bonilla Ahumada, Irma V Brancaccio, Miguel A Calderón, Guadalupe Castillo Cardiel, Guillermo A Cervantes, Gabino Cervantes Guevara, Enrique Cervantes Perez, Maria Chávez, Jonathan M Chejfec, Luis R Cifuentes, Ana O Cortés, Edgar J Cortes, Tania A Cueto, Andrea E Cueto, Esteban Cueva Martinez, Paulina Domínguez Barradas, Isaac Esparza Estrada, Paola Flores Becerril, Luis A García, Benjamín García Reyna, Eduardo Gómez Sánchez, Jaime L González, Eduardo González Espinoza, Fanny Y González, Cristhian S Guerrero, José A Guzmán, Bertha G Guzmán, Mario J Guzmán, DanielA Hérnandez Alva, SilviaA Ibarra Camargo, JuanC Ibarrola Peña, Martin Islas Torres, Jorge Jiménez Tornero, ZayraM Lara Pérez, Roberto Mares País, MelP Mellado Tellez, RobertoC Miranda Ackerman, Damián Mora Santana, Gilberto Morgan Villela, Rodrigo Nájar Hinojosa, Cesar Nuño Escobar, Itzel Ochoa Rodríguez, Angelica Ortega Barreiro, Jacqueline Osuna Rubio, Luis RPacheco Vallejo, VíctorH Pérez Bocanegra, JoseV Pérez Navarro, Francisco JPlascencia Posada, MaríaA Quirarte Hernández, LuisR Ramirez Gonzalez, Emilio AReyes Elizalde, EveliaV Romo Ascencio, Cornelio Ruelas Bravo, CarlosB Ruiz Velasco, JoséA Sánchez Martínez, Guillermo Sanchez Villaseñor, JoséI Sandoval Pulido, AlejandroG Serrano García, LuisO Suárez Carreón, JuanJ Tijerina 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Trejo-Avila, Roland Kevin CethorthFonseca, Edgard Efren LozadaHernandez, Bruno Crocco Quiros, JairoArturo Rodriguez Ramirez, Gabriela Ambriz-González, MitziR Becerra Moscoso, Ishtar Cabrera-Lozano, AnaB Calderón-Alvarado, FranciscoJ León-Frutos, ErickE Villanueva-Martínez, Aisha Abdullahi, Maimuna Abubakar, MohammedS Aliyu, Mudi Awaisu, Fadimatu Bakari, Abigail Olajumoke Balogun, Ahmad Bello, Kehinde Michael Duromola, Stephen G Gana, Mukoro Duke George, Justina Gimba, Isaac Gundu, Lambert Onahi Iji, Aminat O Jimoh, Afolabi K Koledade, Ahmad T Lawal, Bilkisu K Lawal, Stanley Emeka Nwabuoku, Oluseyi O Ogunsua, Ifeanyi Fidelis Okafor, Ethos Ike Okorie, Nasir Oyelowo, Ibrahim A Saidu, Tunde T Sholadoye, Ibrahim Sufyan, Musliu Adetola Tolani, Aliyu Muhammad Tukur, Ahmad Shehu Umar, Aminatu M Umar, Hajara Umaru-Sule, Mohammed Usman, Alfa Yakubu, Salisu Abeku Yusuf, Abdulhafiz A Abdulkarim, Lawal Barau Abdullahi, Khadija A Ado, Nura U Aliyu, Lofty-John Chukwuemeka Anyanwu, Sulaiman M Daneji, Mahmoud Kawu Magashi, Mohammad A Mohammad, Abubakar Bala Muhammad, Saminu S Muhammad, Bello Abodunde Muideen, Calistus U Nwachukwu, Suleiman B Sallau, Abdulrahman A Sheshe, Abdulmajeed Soladoye, Idris Usman Takai, Garzali I Umar, Abubakar Yahaya, Lubabatu Abdulrasheed, Joel A Adze, Lydia R Airede, Bashiru Aminu, Stephen B Bature, Firdaws Bello-Tukur, Damai Chinyio, SharonA N Duniya, Moses C Galadima, Babatunde K Hamza, Samaila Joshua, Stephen A Kache, Williams Y Kagomi, Ifeanyi A Kene, Jamila Lawal, Jerry G Makama, Caleb Mohammed, Amina A Mohammed-Durosinlorun, Deborah Nuwam, Abdulrasheed Sani, Salome Tabara, Mathew C Taingson, Emmanuel Usam, Josiah Yakubu, Folasade Adegoke, Oluwasuyi Ige, Tunde A Odunafolabi, Chukwuma E Okereke, Oluwafemi O Oladele, Oluwaseun H Olaleye, Oyetunde O Olubayo, Olukayode P Abiola, Henry O Abiyere, Idowu O Adebara, GbadeboT C Adeleye, Adebayo A Adeniyi, Olumide E Adewara, Olabisi T Adeyemo, Ademola A Adeyeye, Abimbola L Ariyibi, Babatunde S Awoyinka, Olumide M Ayankunle, Olakunle F Babalola, Adewumi Bakare, TajudeenI B Bakare, Oluseyi O Banjo, Peter A Egharevba, Oluwafemi S Fatudimu, John A Obateru, Oluremi J Odesanya, Owolabi D Ojo, Abiodun I Okunlola, Cecilia K Okunlola, Adewale T Olajide, Tesleem O Orewole, Adedayo I Salawu, Moruf A Abdulsalam, Aderinsola T Adelaja, Olalekan T Ajai, Noble Anyanwu, Kazeem M Atobatele, Oludayo Oluwaseyi Bakare, Omolara M Faboya, Francisca C Nwaenyi, Ayokunle A Ogunyemi, Mobolaji A Oludara, Olufunmilade A Omisanjo, Chinonso U Onyeka, Olabode A Oshodi, Yusuf A Oshodi, Omotade S Salami, Omolara M Williams, Esther Abunimye, Adebunmi Adeoluwa, Adedotun Adesiyakan, Victoria Ibukunoluwa Adeyeye, Moses Vincent Agbulu, David O Akinboyewa, Iyabo O Alasi, Michael Amao, Christiana Ashley-Osuzoka, Oluwole A Atoyebi, Olanrewaju S Balogun, Maryam Oluwatobi Busari, Nnamdi Jonathan Duru, Glory Bassey Edet, Olumide A Elebute, Francis Chinonso Ezenwankwo, Adedeji L Fatuga, Christianah Gbenga-Oke, Emmanuel Sylvester Inyang, Adesola I Jimoh, Jubril Oladayo Kuku, OluwaseunA Ladipo-Ajayi, Abdulrazzaq O Lawal, Christian Chigoze Makwe, Chinelo Victoria Mgbemena, Samuel U Nwokocha, Moses Adebisi Ogunjimi, Ephraim Okwudiri Ohazurike, Rufus W Ojewola, Moyosoluwa Eunice Badedale, Chike J Okeke, Adeyemi A Okunowo, Abraham T Oladimeji, Thomas O Olajide, Olabisi Olanrewaju, Olawunmi Olayioye, Oluwaseun O Oluseye, Stephen Olutola, Kenneth Onyekachi, Adeola Ayoola Orowale, Emili Osariemen, Adedapo Olumide Osinowo, Emmanuel Owie, Christianah Bidemi Oyegbola, Justina OSeyi-Olajide, AdaiahP Soibi-Harry, Manuella Talla Timo, Aloy Okechukwu Ugwu, Emmanuel Ojo Williams, Innocent O Duruewuru, Ochonma A Egwuonwu, Okechukwu Hyginus Ekwunife, James J Emeka, Chimdiebele Daisy Nwosu, Sylvester O Obiechina, Ahuizechukwu E Obiesie, Celestine I Okafor, Theophilus O Okonoboh, Odili A Okoye, Onyekachi A Onu, Chukwudubem C Onyejiaka, Chisom Faith Uche, JosephO Ugboajah, Akeem A Adeleke, Akinfolarin C Adepiti, Adewale A Aderounmu, Abdulhafiz O Adesunkanmi, Adewale O Adisa, Samuel C Ajekwu, Olusegun K Ajenifuja, Olusegun I Alatise, Tajudeen A Badmus, Tajudeen O Mohammed, Abdulkadir A Salako, Oludayo A Sowande, Ademola O Talabi, Funmilola O Wuraola, Paul Aderemi Adegoke, Abidemi Akinloye, Ayodeji Akinniyi, Joseph Ejimogu, Ideyonbe Samuel Eseile, Olakayode Olaolu Ogundoyin, Amos Okedare, Dare Isaac Olulana, Omolara Omotola, Francis Sanwo, Collins C Adumah, Adewale O Ajagbe, Olugbenga P Akintunde, Opeyemi Q Asafa, Kehinde Awodele, Amogu K Eziyi, Adeniyi O Fasanu, Olufemi O Ojewuyi, Abiodun R Ojewuyi, Abisola E Oyedele, Oluwaseun A Taiwo, Habiba I Abdullahi, Nathaniel D Adewole, Teddy E Agida, Eunice E Ailunia, Oseremen Aisuodionoe-Shadrach, Godwin O Akaba, Janet Alfred, Terkaa Atim, Kehinde G Bawa, John Y Chinda, Esther B Daluk, Sefiu B Eniola, Augusta O Ezenwa, Stephen E Garba, Philip M Mshelbwala, Ngozi O Ndukwe, Idoko P Ogolekwu, Alexander A Ohemu, Samuel A Sani, Salisu Suleiman, Helen Sunday, Nancy O Tabuanu, Aminu M Umar, Peter I Agbonrofo, Alexander I Arekhandia, Morrison E Edena, Raymond A Eghonghon, Joel E Enaholo, Genesis Ida, Stanley N Ideh, Oseihie I Iribhogbe, Omorodion O Irowa, Maradona E Isikhuemen, Oluwatomi R Odutola, Kester O Okoduwa, Scott O Omorogbe, David Oruade, Osasumwen T Osagie, Osarenkhoe Osemwegie, RukiyatA Abdus-Salam, Sikiru Adekola Adebayo, Oluwasanmi A Ajagbe, Gboyega Ajibola, Kelvin I Egbuchulem, Hyginus O Ekwuazi, Adegbolahan Fakoya, Oluwasegun C Idowu, David O Irabor, Taiwo A Lawal, Olakayode O Ogundoyin, Oluwabukade Ojediran, Naomi Olagunju, Akinsola T Sanusi, Augustine O Takure, Lukman Olajide Abdur-Rahman, Mary Oluwadamilola Adebisi, Nurudeen Abiola Adeleke, Rafiat Tinuola Afolabi, Isiaka Ishola Aremu, Jibril Oyekunle Bello, Robiat Bello, Saheed Abolade Lawal, Adeolu Ojajuni, Sabur Oyewale, Victor Abhulimen, Patrick O Igwe, Ikechukwu Enyinnaya Iweha, Raphael E John, Nnyonno Okoi, Philemon E Okoro, Vaduneme Kingsley Oriji, Ibiene T Oweredaba, Japhet Mizero, Immaculee Mutimamwiza, Francoise Nirere, Irenee Niyongombwa, Jean Paul Majyabere, Anastase Byaruhanga, Rongin Dukuzimana, Jean Aimable Habiyakare, Marie Gloriose Nabada, Marcel Uwizeye, Mathias Ruhosha, Joselyne Igiraneza, Faustine Ingabire, Aloys Karekezi, Jean pierre Masengesho, Lydia Mukamazera, Clemence Mukangabo, Jean Paul Niyomuremyi, Gabriel Ntwari, Celestin Seneza, Divine Umuhoza, Pierrine Nyirangeri, Jean Claude Uwimana, Isaie Sibomana, Desire Rubanguka, Josine Umuhoza, Roda Uwayezu, Leoncie Uzikwambara, Herbert Butana, Moise Dusabeyezu, Athanasie Mukasine, Jean N Utumatwishima, Mediatrice Batangana, Jeande Dieu Haragirimana, AllenJ C Ingabire, Espoir Mwungura, Dancilla Nyirasebura, Christian Jean Urimubabo, Anaclet Dusabimana, Sam Kanyesigye, Robert Munyaneza, Jean Yves Shyirakera, Aimee Domingo, Philip Munda, Chido Nyatsambo, Victor Ojo, Rudo Pswarayi, and Soeren Laurberg
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Medicine (General) ,R5-920 ,Infectious and parasitic diseases ,RC109-216 - Published
- 2024
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93. La construcción de barrios por la Central Nacional Provivienda
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Nohora Ines Carvajal Sànchez and Mauricio Tellez Vera
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central nacional provivienda ,barrio Policarpa Salavarrieta ,Barrio El Porvenir ,territorialidades ,resistencias ,Colombia ,Social Sciences ,Social sciences (General) ,H1-99 - Abstract
La Central Nacional Provivienda (CENAPROV) es una organización que pertenece a destechados que se apoyan entre sí para buscar una solución colectiva y lograr una vivienda; inspirada en la economía solidaria, desarrolla programas de vivienda por medio de la autogestión y autoconstrucción. Ha establecido barrios populares y ha aportado significativamente en la configuración de ciudades colombianas dando solución a la necesidad de vivienda aun cuando sean ignoradas por las políticas públicas. El objetivo de este artículo es reflexionar acerca de la metodología cualitativa de investigación participativa, en la investigación sobre las territorialidades y las resistencias populares que se presentan en los barrios Policarpa Salavarrieta en Bogotá y El Porvenir en Soacha, entre 1961 y 2016. En ese sentido, los métodos horizontales están presentes a lo largo de todo el proceso investigativo, es decir, desde las preguntas, el marco teórico, los métodos y procedimientos, hasta el análisis y la interpretación (Corona Berkin, 2019).
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- 2024
94. Revisiting the dynamics of major cryptocurrencies
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Osman Gulseven, Bashar Yaser Almansour, and Jesus Cuauhtemoc Tellez Gaytan
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Bitcoin ,Ethereum ,cryptocurrencies ,wavelets ,co-movement ,Economics as a science ,HB71-74 ,Business ,HF5001-6182 - Abstract
Purpose – This study aims to reassess the dynamics of major cryptocurrencies sur-rounding recent economic and geopolitical events. By employing wavelet analysis and quantile regression methods, it seeks to understand the behavior of cryptocurrencies before, during, and after the COVID-19 pandemic. Research methodology – This research employs the Least Asymmetric Daubechies (LA8) wavelet function to decompose log-returns of major cryptocurrencies into various frequency scales. Additionally, it utilizes wavelet coherence and quantile-on-quantile regression techniques to analyze daily price data spanning from July 2017 to May 2024. Findings – The findings reveal a strong long-term association among cryptocurrencies, with a decline in medium-term correlations. Bitcoin exhibits synchronization with major cryptocurrencies, excluding Tether, while BTC-ETH and BTC-BNB display a rapid, interconnected behavior alongside their fundamental links. Moreover, empirical evidence indicates Bitcoin’s heterogeneous nexus with other alternatives, showcasing greater sensitivity to positive extremes over negative ones. Research limitations – The study’s scope is delimited by the selected time frame (July 2017 to May 2024) for data analysis, potentially limiting insights into longer-term trends. Additionally, the reliance on specific methodologies like wavelet analysis might introduce constraints in capturing the entirety of cryptocurrency dynamics, leaving room for alternative interpretations or unexplored aspects. Practical implications – Results suggest that understanding the varying correlations among major cryptocurrencies during different market phases could aid investors and policymakers in devising more nuanced strategies. Recognizing the sensitivity of Bitcoin’s connections with alternatives to market trends could inform risk management approaches, particularly in navigating extreme market conditions. Originality/Value – The originality of this study lies in its comprehensive examination of cryptocurrency dynamics across varying time scales, utilizing wavelet analysis and quantile regression techniques. The findings offer valuable insights into the complex interconnections among cryptocurrencies, especially in terms of their sensitivity to different market conditions, providing a nuanced perspective for investors, analysts, and policymakers navigating the crypto landscape.
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- 2024
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95. Persistent varices in cured patients: Understanding the role of hepatic venous pressure gradient
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Pol Olivas, Alexandre Soler-Perromat, Luis Tellez, José Antonio Carrión, Edilmar Alvarado-Tapias, José Ferrusquía-Acosta, Sabela Lens, Antonio Guerrero, Ángeles Falgà, Pamela Vizcarra, Lara Orts, Valeria Perez-Campuzano, Sarah Shalaby, Sonia Torres, Anna Baiges, Fanny Turon, Juan Carlos García-Pagán, Ángeles García-Criado, and Virginia Hernández-Gea
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Portal hypertension ,Etiologic factor removal ,WHVP ,Cirrhosis regression ,Cirrhosis recompensation ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Background & Aims: Etiologic factor removal (ER) drives recompensation and improves portal hypertension in cirrhosis. Esophageal varices (EV) and portosystemic shunts (PSS) have been found in patients despite hepatic venous pressure gradient (HVPG) dropping below 10 mmHg after ER, questioning HVPG accuracy in reflecting true portal pressure in the setting of ER. We aim to evaluate the correlation of HVPG with direct portal pressure (DPP) in patients with persistence of EV after ER despite HVPG
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- 2024
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96. Immune modulation and cecal microbiome changes in broilers fed with fenugreek seeds and Bacillus-based probiotics
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Deependra Paneru, Guillermo Tellez-Isaias, Walter G. Bottje, Emmanuel Asiamah, Ahmed A.A. Abdel-Wareth, Md Salahuddin, and Jayant Lohakare
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broiler ,fenugreek ,direct-fed microbial ,immunity ,cecal microbiome ,Animal culture ,SF1-1100 - Abstract
ABSTRACT: Intensive broiler production systems face challenges like enteric diseases, impacting global food security. Strategies to enhance broiler immunity and gut health, particularly amidst antibiotic growth promoter restrictions, are crucial. The present study investigated the combined effects of fenugreek seeds (FS) and Bacillus-based direct-fed microbials (DFM) on immune-related gene expression in the ileum and alteration of microbial population in the cecum of broiler. The study involved 160 Ross 308 broiler chicks, which were divided into four groups consisting of 5 replicates, each containing eight birds. The chicks were grown for a period of 42 d, during which they had ad libitum access to feed and water. Dietary treatments were: Control (basal diet), FS5 (basal + 5g/kg fenugreek seeds), FS5DFM (basal + 5g/kg fenugreek seeds + 0.1g/kg Bacillus-based DFM), and DFM (basal + 0.1g/kg Bacillus-based DFM). Ileum tissue and cecal contents were collected on d 42 for gene expression and gut microbiome analysis. Ileal gene expression analysis revealed the downregulation of IL-6, IL-8L2, CASP6, PTGS2, and IRF7 in both FSs and DFMs groups compared to the control, suggesting individual immunomodulatory effects. However, avian β-defensin genes exhibited complex regulation, highlighting the need for further investigation. Cecal microbiome diversity remained stable, with subtle shifts in specific taxa influenced by FSs and DFMs. Interestingly, the combination of the FSs and DFMs uniquely impacted specific taxa, including Clostridiales vadin BB60. These findings suggest that both FSs and DFMs demonstrated potential for improving broiler immunity through inflammation reduction. The combination of FSs and DFMs offers a synergistic effect in immune modulation and specific microbial modulation, warranting further investigation with pathogen challenge models for comprehensive understanding.
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- 2024
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97. Ultrasound screening for abdominal aortic aneurysm in primary care
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Aguado Castaño, Ana Carlota, Aicart Bort, María Dolores, Babiano Fernández, Miguel Ángel, Bonany Pagès, Maria Antònia, Caballer Rodilla, Julia, Cabrera Ferriols, María Ángeles, Carrasco Carrasco, Eduardo, Frías Vargas, Manuel, Fuertes Domínguez, Diana, García Lerín, Aurora, García Vallejo, Olga, Gil Gil, Inés, Lahera García, Ana, López Téllez, Antonio, Lozano Bouzon, Víctor Manuel, Padilla Sáez, Alicia, Parra Valderrama, Adriana, Peiró Morant, Juan, Perdomo García, Frank J., Pérez Vázquez, Estrella, Piera Carbonell, Ana, Pietrosanto, Teresa, Ramírez Torres, José Manuel, Ruíz Calzada, Marta, Vázquez Gómez, Natividad, López-Téllez, Antonio, López-Martí, Helena, Zapata Martínez, Irene, Trillo Fernández, Cristóbal, Domínguez Pinos, María Dolores, Peiró Morant, Juan Fernando, González-Fajardo, José Antonio, and Valdivielso Felices, Pedro
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- 2024
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98. Utilidad de la ecografía en el cribado del aneurisma de aorta abdominal en atención primaria
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Aguado Castaño, Ana Carlota, Aicart Bort, María Dolores, Babiano Fernández, Miguel Ángel, Bonany Pagès, Maria Antònia, Caballer Rodilla, Julia, Cabrera Ferriols, María Ángeles, Carrasco Carrasco, Eduardo, Frías Vargas, Manuel, Fuertes Domínguez, Diana, García Lerín, Aurora, García Vallejo, Olga, Gil Gil, Inés, Lahera García, Ana, López Téllez, Antonio, Lozano Bouzon, Víctor Manuel, Padilla Sáez, Alicia, Parra Valderrama, Adriana, Peiró Morant, Juan, Perdomo García, Frank J, Pérez Vázquez, Estrella, Piera Carbonell, Ana, Pietrosanto, Teresa, Ramírez Torres, José Manuel, Ruíz Calzada, Marta, Vázquez Gómez, Natividad, López-Téllez, Antonio, López-Martí, Helena, Zapata Martínez, Irene, Trillo Fernández, Cristóbal, Domínguez Pinos, María Dolores, Peiró Morant, Juan Fernando, González-Fajardo, José Antonio, and Valdivielso Felices, Pedro
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- 2024
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99. Overview of the SISAP 2024 Indexing Challenge.
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Eric Sadit Tellez, Martin Aumüller 0001, and Vladimir Mic
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- 2024
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100. CIA: Controllable Image Augmentation Framework Based on Stable Diffusion.
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Mohamed Benkedadra, Dany Rimez, Tiffanie Godelaine, Natarajan Chidambaram, Hamed Razavi Khosroshahi, Horacio Tellez, Matei Mancas, Benoît Macq, and Sidi Ahmed Mahmoudi
- Published
- 2024
- Full Text
- View/download PDF
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