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2,766 results on '"González, Andrés"'

3. Bidirectional Zigzag Growth from Clusters of Active Colloidal Shakers

Author

Junot, Gaspard, González, Andrés Javier Manzano, and Tierno, Pietro

Subjects
Condensed Matter - Soft Condensed Matter
Abstract

Driven or self-propelling particles moving in viscoelastic fluids recently emerge as novel class of active systems showing a complex yet rich set of phenomena due to the non-Newtonian nature of the dispersing medium. Here we investigate the one-dimensional growth of clusters made of active colloidal shakers, which are realized by oscillating magnetic rotors dispersed within a viscoelastic fluid and at different concentration of the dissolved polymer. These magnetic particles when actuated by an oscillating field display a flow profile similar to that of a shaker force dipole, i.e. without any net propulsion. We design a protocol to assemble clusters of colloidal shakers and induce their controlled expansion into elongated zigzag structures. We observe a power law growth of the mean chain length and use theoretical arguments to explain the measured $1/3$ exponent. These arguments agree well with both experiments and particle based numerical simulations.

Published
2024
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9. Two-stage Robust Optimization Approach for Enhanced Community Resilience Under Tornado Hazards

Author

Ansari, Mehdi, Borrero, Juan S., and Gonzalez, Andres D.

Subjects
Mathematics - Optimization and Control
Abstract

Catastrophic tornadoes cause severe damage and are a threat to human wellbeing, making it critical to determine mitigation strategies to reduce their impact. One such strategy, following recent research, is to retrofit existing structures. To this end, in this article we propose a model that considers a decision-maker (a government agency or a public-private consortium) who seeks to allocate resources to retrofit and recover wood-frame residential structures, to minimize the population dislocation due to an uncertain tornado. In the first stage the decision-maker selects the retrofitting strategies, and in the second stage the recovery decisions are made after observing the tornado. As tornado paths cannot be forecast reliably, we take a worst-case approach to uncertainty where paths are modeled as arbitrary line segments on the plane. Under the assumption that an area is affected if it is sufficiently close to the tornado path, the problem is framed as a two-stage robust optimization problem with a mixed-integer non-linear uncertainty set. We solve this problem by using a decomposition column-and-constraint generation algorithm that solves a two-level integer problem at each iteration. This problem, in turn, is solved by a decomposition branch-and-cut method that exploits the geometry of the uncertainty set. To illustrate the model's applicability, we present a case study based on Joplin, Missouri. Our results show that there can be up to 20 percent reductions in worst-case population dislocation by investing 15 million dollars in retrofitting and recovery; that our approach outperforms other retrofitting policies, and that the model is not over-conservative.

Published
2023

10. Warming promotes expansion of a key demersal fishing resource of the western Mediterranean

Author

Cristina González-Andrés, Eduardo Ramírez-Romero, Beatriz Guijarro, Marc Farré, Diego Macias, and Enric Massutí

Subjects
spatial distribution model, regional climate mode, demersal fishing resources, climate change, fisheries resilience, Parapenaeus longirostris, Science, General. Including nature conservation, geographical distribution, QH1-199.5
Abstract

Climate change is affecting marine ecosystems altering the distribution and abundance of organisms, with implications for fisheries and food security. This warming-induced reshuffle in species abundance could bring threats and opportunities to the fisheries, but needs to be assessed to promote effective actions and to foster resilience. We analyzed the density and distribution patterns of deep-sea rose shrimp (Parapenaeus longirostris), as well as identified the main environmental have identified the environmental drivers shaping its habitat along the western Mediterranean (Iberian Peninsula) during the period 2001–2020. Using spatial distribution models developed concurrently with an ensemble of four Regional Climate Models (RCMs), we have projected the density of this species during the next century under two climate scenarios (RCP4.5 and RCP8.5). Bathymetry and sea bottom temperature drove the density of the species, leading to a marked northward expansion during the last two decades. Our results projected an increase in its distribution and especially in density throughout the area along the 21st century, mirroring the effect of global warming. Consequently, the most distant period (i.e. 2100s) and the warmest scenario (RCP8.5) presented also the highest densities and low internal variability of the ensemble. We discussed the power of assessing uncertainties using a RCM ensemble, particularly under complex oceanographic features, to bring robust information for an effective scientific advice to fisheries management.

Published
2024
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11. Cache Placement in an NDN Based LEO Satellite Network Constellation

Author

Rodríguez-Pérez, Miguel, Herrería-Alonso, Sergio, Suárez-González, Andrés, López-Ardao, José Carlos, and Rodríguez-Rubio, Raúl

Subjects
Computer Science - Networking and Internet Architecture
Abstract

The efforts to replace the successful, albeit aging, TCP/IP Internet architecture with a better suited one have driving research interest to information-centric alternatives. The Named Data Networking (NDN) architecture is probably one of the main contenders to become the network layer of the future Internet thanks to its inbuilt support for mobility, in-network caching, security and, in general, for being better adapted to the needs of current network applications. At the same time, massive satellite constellations are currently being deployed in low Earth orbits (LEO) to provide a backend for network connectivity. It is expected that, very soon, these constellations will function as proper networks thanks to inter-satellite communication links. These new satellite networks will be able to benefit from their greenfield status and the new network architectures. In this paper we analyze how to deploy the network caches of an NDN-based LEO satellite network. In particular, we show how we can jointly select the most appropriate caching nodes for each piece of content and how to forward data across the constellation in two simple alternative ways. Performance results show that the caching and forwarding strategies proposed reduce path lengths up to a third with just a few caching nodes while, simultaneously, helping to spread the load along the network., Comment: 9 pages, 5 figures

Published
2022
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17. Combined application of N-fixing PGPB and rice straw mulch compensates N immobilization by straw, improving crop growth

Author

Ismael Mazuecos-Aguilera, Sergio Salazar, Javier Hidalgo-Castellanos, Noemí Ortiz-Liébana, Pedro López-Bornay, and Fernando González-Andrés

Subjects
Plant growth-promoting bacteria, Sustainable fertilisation, Bacterial biodiversity, Azotobacter chroococcum, Azotobacter salinestris, Azospirillum brasilense, Agriculture
Abstract

Abstract Background Rice straw, often treated as waste, provides many benefits to crops when used as a mulch. However, straw degradation promotes nitrogen immobilisation due to its high C:N ratio, causing N competition between soil microorganisms and the crop. Currently, sustainable practices to remedy nitrogen immobilisation are hardly being implemented. In microcosm conditions we assessed whether the inoculation with N-fixers could offset the transient nitrogen deficiency caused by straw mulch, thereby harnessing the benefits of straw while mitigating its negative impact on nitrogen depletion and exerting a synergistic effect on crop growth. Results Inoculation with N-fixers increased the nitrogen content in the soil (the increase ranged from 14% up to 90% for NH4 + and from 20% to 60% for NO3 −) and, in most cases, also the nitrogen content in the plant (ranging from 10% to 15% increase), compared to the non-inoculated control. Therefore, inoculation would compensate for the lack of nitrogen caused by nitrogen immobilisation, and this resulted in an increased biomass production by the crop compared with the uninoculated control (the increase ranged from 25% to 85%). In addition, inoculation with N-fixers did not lead to a permanent change in the bacterial community composition, whereas straw addition increased the biodiversity of the soil microbiome. Conclusions The results obtained in microcosm conditions are a first indication that complementing straw mulching with the inoculation of N-fixers could avoid the transient N immobilisation produced during straw degradation. Thus, the benefits of the combination would be a yield increase, while improving the biodiversity of the soil microbiome, stabilising soil temperatures and increasing water soil content. Graphical Abstract

Published
2024
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21. Benchmarking of Academic Departments Using Data Envelopment Analysis (DEA)

Author

Alam, Tasfiq E., González, Andrés D., and Raman, Shivakumar

Abstract

Purpose: The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework to allocate resources efficiently, such that the relative efficiency is improved within an available investment budget. Design/methodology/approach: Firstly, DEA models are used to evaluate the efficiency of the departments relative to their peers and providing benchmarks for the less efficient departments. Secondly, the inefficiencies in departments are identified. Finally, for the less efficient departments, a decision-support system is introduced for optimizing resource allocation to improve efficiency. Findings: Five of the 18 academic departments were determined to be inefficient, and benchmark departments were found for those departments. The most prevalent causes for inefficiency were the number of undergraduate students per faculty and the number of graduate students. Results: from the investment model for department 12 suggest increasing the number of faculty by 2 units and H-Index by 0.5 units, thereby, improving the relative efficiency of the department by 6.8% (88%-94%), using $290,000 out of $500,000 investment budget provided. Originality/value: When an investment budget is available, no study has used DEA to develop a decision-support framework for resource allocation in academic departments to maximize relative efficiency.

Published
2023
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23. Feasibility and Acceptability of B6: A Social Capital Program for Young Black Gay, Bisexual and Other Men Who Have Sex with Men Living with HIV

Author

Moore, Shamia J., Wood-Palmer, Drew K., Jones, Marxavian D., Doraivelu, Kamini, Newman, Antonio, Harper, Gary W., Camacho-González, Andrés, del Río, Carlos, Sutton, Madeline Y., and Hussen, Sophia A.

Abstract

Young Black gay, bisexual and other men who have sex with men (YB-GBMSM) are disproportionately burdened by HIV and often exhibit suboptimal engagement in HIV care. With the goal of increasing engagement in HIV care, we designed a culturally specific, theory-based group-level program, Brothers Building Brothers by Breaking Barriers (B6), which aimed to strengthen resilience and social capital among YB-GBMSM living with HIV. We conducted a pilot trial to evaluate the program's acceptability and feasibility. Through clinic-based recruitment and community outreach events, we recruited and enrolled 71 YB-GBMSM into the study. Participants were randomized to either the B6 program or a control comparison program. Post-session evaluation surveys and in-depth qualitative interviews showed B6 to have high levels of acceptability and satisfaction. Specifically, participants described benefits to interacting in a group with other YB-GBMSM, and several described increased comfort with their own gay identities after participation. No adverse events or safety concerns were reported. However, there were challenges to feasibility, as reflected in recruitment and retention rates. The B6 program was highly acceptable among YB-GBMSM living with HIV; however, innovative program delivery methods and implementation strategies will be needed to improve recruitment and retention in future implementation of B6.

Published
2022
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27. Guía de práctica clínica para la prevención, el diagnóstico y el tratamiento de la osteoporosis inducida por glucocorticoides. Asociación Colombiana de Reumatología, 2023

Author

Chalem, Monique, Casas, Noemi, Domínguez, Aura María, Fernández, Daniel Gerardo, González, Andrés, Jáuregui, Edwin, Molina, José Fernando, Rincón, Diana Nathalie, Toro-Gutiérrez, Carlos Enrique, Vargas Grajales, Francisco Juan, Martínez, Susan, and Ibatá, Linda

Published
2024
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30. Acceptability and tolerability of long-acting injectable cabotegravir or rilpivirine in the first cohort of virologically suppressed adolescents living with HIV (IMPAACT 2017/MOCHA): a secondary analysis of a phase 1/2, multicentre, open-label, non-comparative dose-finding study

Author

Best, Brookie M, Capparelli, Edmund V, Hanley, Sherika, Mathiba, Sisinyana Ruth, Naidoo, Megeshinee, Ounchanum, Pradthana, Patel, Faeezah, Paul, Mary E, Townley, Ellen, Vandermeulen, Kati, Whitson, Kyle, Zabih, Sara, Lowenthal, Elizabeth D, Chapman, Jennifer, Ohrenschall, Rachel, Calabrese, Katherine, Baltrusaitis, Kristin, Heckman, Barbara, Yin, Dwight E, Agwu, Allison L, Harrington, Conn, Van Solingen-Ristea, Rodica M, McCoig, Cynthia C, Adeyeye, Adeola, Kneebone, Jared, Chounta, Vasiliki, Smith-Anderson, Christiana, Camacho-Gonzalez, Andres, D'Angelo, Jessica, Bearden, Allison, Crauwels, Herta, Huang, Jenny, Buisson, Sarah, Milligan, Ryan, Ward, Shawn, Bolton-Moore, Carolyn, and Gaur, Aditya H

Published
2024
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31. Safety and pharmacokinetics of oral and long-acting injectable cabotegravir or long-acting injectable rilpivirine in virologically suppressed adolescents with HIV (IMPAACT 2017/MOCHA): a phase 1/2, multicentre, open-label, non-comparative, dose-finding study

Author

Buisson, Sarah, Cheung, S. Y. Amy, Chounta, Vasiliki, Deprez, Isabelle, Desmond, Alicia Catherine, Han, Kelong, Hanley, Sherika, Lin, Yu-Wei, Patel, Faeezah, Paul, Mary E., Roberts, Gilly, Whitson, Kyle, Zabih, Sara, Gaur, Aditya H, Capparelli, Edmund V, Calabrese, Katherine, Baltrusaitis, Kristin, Marzinke, Mark A, McCoig, Cynthia, Van Solingen-Ristea, Rodica M, Mathiba, Sisinyana Ruth, Adeyeye, Adeola, Moye, John H, Heckman, Barbara, Lowenthal, Elizabeth D, Ward, Shawn, Milligan, Ryan, Samson, Pearl, Best, Brookie M, Harrington, Conn M, Ford, Susan L, Huang, Jenny, Crauwels, Herta, Vandermeulen, Kati, Agwu, Allison L, Smith-Anderson, Christiana, Camacho-Gonzalez, Andres, Ounchanum, Pradthana, Kneebone, Jared L, Townley, Ellen, and Bolton Moore, Carolyn

Published
2024
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38. Mapping Network States Using Connectivity Queries

Author

Rodríguez, Alexander, Adhikari, Bijaya, González, Andrés D., Nicholson, Charles, Vullikanti, Anil, and Prakash, B. Aditya

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

Can we infer all the failed components of an infrastructure network, given a sample of reachable nodes from supply nodes? One of the most critical post-disruption processes after a natural disaster is to quickly determine the damage or failure states of critical infrastructure components. However, this is non-trivial, considering that often only a fraction of components may be accessible or observable after a disruptive event. Past work has looked into inferring failed components given point probes, i.e. with a direct sample of failed components. In contrast, we study the harder problem of inferring failed components given partial information of some `serviceable' reachable nodes and a small sample of point probes, being the first often more practical to obtain. We formulate this novel problem using the Minimum Description Length (MDL) principle, and then present a greedy algorithm that minimizes MDL cost effectively. We evaluate our algorithm on domain-expert simulations of real networks in the aftermath of an earthquake. Our algorithm successfully identify failed components, especially the critical ones affecting the overall system performance., Comment: Appears in IEEE BigData 2020. Preliminary version in NeurIPS 2020 AI + HADR

Published
2020

39. Gamified Strategies to Increase Motivation in Middle School Programming Learning: A Systematic Mapping

Author

Rodríguez González, Andrés Felipe, Gómez Álvarez, María Clara, Ramírez, Gabriel Mauricio, Manrique Losada, Bell, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Agredo-Delgado, Vanessa, editor, Ruiz, Pablo H., editor, Ruiz Gaona, Alexandra, editor, Villegas Ramírez, María Lili, editor, and Giraldo Orozco, William Joseph, editor

Published
2023
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47. Risk of COVID-19 after natural infection or vaccination

Author

Adams, Atoya, Miller, Eric, Rankin, Bruce G., Shinn, Steven, Nash, Marshall, Green, Sinikka L., Jacobsen, Colleen, Krishnankutty, Jayasree, Phungwayo, Sikhongi, Glover, Richard M., II, Slechta, Stacy, Holdeman, Troy, Hartvickson, Robyn, Grant, Amber, Poling, Terry L., Klein, Terry D., Klein, Thomas C., Klein, Tracy R., Smith, William B., Gibson, Richard L., Winbigler, Jennifer, Parker, Elizabeth, Wijewardane, Priyantha N., Bravo, Eric, Thessing, Jeffrey, Maxwell, Michelle, Horn, Amanda, Healy, Catherine Mary, Akamine, Christine, Chu, Laurence, Chouteau, R. Michelle, Cotugno, Michael J., Bauer, George H., Jr., Hachigian, Greg, Oshita, Masaru, Cancilla, Michael, Kiersey, Kristen, Seger, William, Antwi, Mohammed, Green, Allison, Kim, Anthony, Desjardins, Michael, Johnson, Jennifer A., Sherman, Amy, Walsh, Stephen R., Borger, Judith, Saleem, Nafisa, Solis, Joel, Medina, Martha Carmen, Keating, Westly, Garcia, Edgar, Bueno, Cynthia, Segall, Nathan, Denham, Douglas S., Weiss, Thomas, Avworo, Ayoade, Hedges, Parke, Strout, Cynthia Becher, Santiago, Rica, Davis, Yvonne, Howenstine, Patty, Bondell, Alison, Marks, Kristin, Wang, Tina, Wilkin, Timothy, Vogler, Mary, Johnston, Carrie, Andrasik, Michele P., Andriesen, Jessica G., Broder, Gail, Eaton, Niles, Gelderblom, Huub G., McClennen, Rachael, Michael, Nelson, Robb, Merlin, Sopher, Carrie, Miller, Vicki E., Santiago, Fredric, Gomez, Blanca, Valika, Insiya, Starr, Amy, Cantos, Valeria D., Kandiah, Sheetal, Rio, Carlos del, Rouphael, Nadine, Edupuganti, Srilatha, Anderson, Evan J., Camacho-Gonzalez, Andres, Kamidani, Satoshi, Teherani, Meghan, Diemert, David J., Malkin, Elissa, Siegel, Marc, Roberts, Afsoon, Simon, Gary, Balani, Bindu, Stephenson, Carolene, Sperber, Steven, Cicogna, Cristina, Zervos, Marcus J., Kilgore, Paul, Ramesh, Mayur, Herc, Erica, Zenlea, Kate, Burgher, Abram, Milliken, Ann M., Davis, Joseph D., Levy, Brendan, Kelman, Sandra, Doust, Matthew W., Sample, Denise, Erickson, Sandra, Christensen, Shane G., Matich, Christopher, Longe, James, Witbeck, John, Peterson, James T., Clark, Alexander, Kelty, Gerald, Pena-Renteria, Issac, Koren, Michael J., Bartilucci, Darlene, Patel, Alpa, Tran, Carolyn, Kennelly, Christina, Brownlee, Robert, Coleman, Jacob, Webster, Hala, Fierro, Carlos A., Leistner, Natalia, Thompson, Amy, Gonzalez, Celia, Jackson, Lisa A., Suyehira, Janice, Haber, Milton, Regalado, Maria M., Procasky, Veronica, Lutat, Alisha, Griffin, Carl P., Hollister, Ripley R., Brown, Jeremy, Ronk, Melody, Harper, Wayne L., Cohen, Lisa, Eckert, Lynn, Hong, Matthew, Rouhbakhsh, Rambod, Danford, Elizabeth, Johnson, John, Calderone, Richard, Khetan, Shishir K., Olanrewaju, Oyebisi, Zhai, Nan, Nieves, Kimberly, O'Brien, Allison, Bradley, Paul S., Lilienthal, Amanda, Callis, Jim, Brosz, Adam B., Clement, Andrea, West, Whitney, Friesen, Luke, Cramer, Paul, Eder, Frank S., Little, Ryan, Engler, Victoria, Rattenbury-Shaw, Heather, Ensz, David J., Oplinger, Allie, Essink, Brandon J., Meyer, Jay, Raiser, Frederick, III, Mueller, Kimberly, Vrbicky, Keith W., Harper, Charles, Nutsch, Chelsie, Lewis, Wendell, III, Laflan, Cathy, Whatley, Jordan L., Harrell, Nicole, Shannon, Amie, Rowell, Crystal, Dedon, Christopher, Makhene, Mamodikoe, Gottschlich, Gregory M., Harden, Kate, Gottschlich, Melissa, Smith, Mary, Powell, Richard, Kimmel, Murray A., Pinto, Simmy, Vachris, Timothy P., Hutchens, Mark, Daniels, Stephen, Wells, Margaret, Van Der Leden, Mimi, Jackson-Booth, Peta-Gay, Baron, Mira, Kane, Pamela, Seversen, Shannen, Kryvicky, Mara, Lord, Julia, Saleh, Jamshid, Miles, Matthew, Lupercio, Rafael, McGettigan, John W., Jr., Patton, Walter, Brakema, Riemke, Choquette, Karin, McGettigan, Jonlyn, Kirstein, Judith L., Bernard, Marcia, Manning, Mary Beth, Rothenberg, Joan, Briskin, Toby, Roadman, Denise, Tedder-Edwards, Sharita, Schwartz, Howard I., Mederos, Surisday, Swaminathan, Shobha, Nyaku, Amesika, Varughese, Tilly, DallaPiazza, Michelle, Frey, Sharon E., Graham, Irene, Abate, Getahun, Hoft, Daniel, Allen, Leland N., III, Edwards, Leslie A., Davis, William S., Jr., Mena, Jessica M., Kutner, Mark E., Caso, Jorge, Moran, Maria Hernandez, Carvajal, Marianela, Mendez, Janet, Wadsworth, Larkin T., III, Adams, Michael R., Iverson, Leslie, Newberg, Joseph L., Pearlman, Laura, Nugent, Paul J., Reynolds, Michele D., Bashour, Jennifer, Schmidt, Robert, Sheth, Neil P., Steil, Kenneth, Toma, Ramy J., Kirby, William, Folmar, Pink, Williams, Samantha, Pickrell, Paul, Mott, Stefanie, Linebarger, Carol Ann, Malbari, Hussain, Pampe, David, Fragoso, Veronica G., Holloway, Lisa, McKeown-Bragas, Cecilia, Becker, Teresa, Williams, Barton G., Jones, William H., Clark, Jesse L., Shoptaw, Steven, Vertucci, Michele, Hernandez, Will, Spector, Stephen A., Moodley, Amaran, Blumenthal, Jill, Stangl, Lisa, Deutsch, Karen, Mullane, Kathleen M., Pitrak, David, Nuss, Cheryl, Pi, Judy, Fichtenbaum, Carl, Powers-Fletcher, Margaret, Saemann, Michelle, Kohrs, Sharon, Campbell, Thomas B., Lauria, Andrew, Mancilla, Jose C., Dunlevy, Hillary, Novak, Richard M., Wendrow, Andrea, Borgetti, Scott, Ladner, Ben, Chrisley, Lisa, Young, Cheryl, Doblecki-Lewis, Susanne, Alcaide, Maria L., Gonzales-Zamora, Jose, Morris, Stephen, Wohl, David, Eron, Joseph, Jr., Frank, Ian, Dunbar, Debora, Metzger, David, Momplaisir, Florence, Martin, Judith, Hoberman, Alejandro, Shope, Timothy, Muniz, Gysella, Rupp, Richard, Stanford, Amber, Berman, Megan, Porterfield, Laura, Lewis, Michael, Ghadishah, Elham, Yusin, Joseph, Pham, Mai, Creech, Clarence B., II, Walker, Shannon, Rolsma, Stephanie, Samuels, Robert, Thomsen, Isaac, Kalams, Spyros A., Wilson, Greg, Lucksinger, Gregg H., Parks, Kevin, Israelsen, Ryan, Ostovar, Jaleh, Kelly, Kary, Overcash, Jeffrey S., Chu, Hanh, Lee, Kia, De La Cruz, Luis I., Clemons, Steve, Everette, Elizabeth, Studdard, Suzanna, Mohan, Gowdhami, Tyson, Stefanie, Peay, Alyssa-Kay, Johnson, Danyel, Feldman, Gregory J., Suen, May-Yin, Muenzner, Jacqueline, Boscia, Joseph, Siddiqui, Farhan, Sanders, John, Peacock, James, Nasim, Julio, Levin, Michael L., Hussey, Julie, Kulic, Marcy, McKenzie, Mark M., Deese, Teresa, Osmundsen, Erica, Sweet, Christy, Ebuh, Valentine M., Elnagar, Elwaleed, Ebuh, Georgette, Iwuala, Genevieve, Han-Conrad, Laurie J., Simmons, Todd, Tarakjian, Denis, Ackermann, Jeremy, Adams, Mark S., Alemán, José O., Al-Ibrahim, Mohamed S., Andes, David R., Andrews, Jeb, Arduino, Roberto C., Bäcker, Martín, Badillo, Diana, Bainbridge, Emma, Batteiger, Teresa A., Bazan, Jose A., Bedimo, Roger J., Benitez, Jorge A., Bennett, Annette R., Bernstein, David I., Bialobok, Kristin, Boas, Rebecca, Brady, Judith, Brown, Cynthia, Bunce, Catherine A., Call, Robert S., Campbell, Wesley, Carmody, Ellie, Carpenter, Christopher, Carsons, Steven E., Castellon, Marvin, Castro, Mario, Catan, Hannah, Chang, Jennifer, Chebib, Mouna G., Chen, Corey M., Cheng, Margaret, Chow, Brian D.W., Ciambruschini, Annie, Connor, Joseph P., Conway, James H., Cooney, Maureen, Curlin, Marcel, De La Matta Rodriguez, Claudia, Dedon, Jon F., Degan, Emily, Dickey, Michelle, Dietz, Craig, Dong, Jennifer L., Dorcely, Brenda, Dube, Michael P., Dyer, Carmel B., Eckhardt, Benjamin, Ellerbeck, Edward, Ewers, Evan C., Falk, Amy, Feijoo, Brittany, Felsen, Uriel R., Fiel, Tom, Fitz-Patrick, David, Fogarty, Charles M., Ford, Stacy, Forero, Lina M., Formentini, Elizabeth, Franco-Vitteri, Doris, Frenck, Robert W., Jr., Gharib, Elie, Gharib, Suzanne, Rucker, Rola G., Goldenberg, James N., González, Luis H., Gray, Brett, Greene, Rusty, Grossberg, Robert M., Guanira-Carranza, Juan V., Guerreros Benavides, Alfredo Gilberto, Guillory, Clint C., Gunaratne, Shauna H., Halpert, David, Hamilton, Holli, Hartman, William R., Henderson, Sheryl L., Herati, Ramin, Guarin, Laura Hernandez, Hilder, Robin, Ho, Ken, Hojat, Leila, Hosek, Sybil G., Jacobson, Jeffrey M., Jay, Melanie, Johnson, Diane H., Jones, Kathleen S., Jones-López, Edward C., Justman, Jessica E., Kahney, Scott, Katz, Lois, Katz, Melinda, Kaul, Daniel, Keefer, Michael C., Kennedy, Ashley, Knishinsky, Jennifer, Kogelman, Laura, Koletar, Susan L., Kottkamp, Angelica, Laguio-Vila, Maryrose, Landovitz, Raphael J., Lee, Jessica L., Liu, Albert, Llerena Zegarra, Eneyda Giuvanela, Lok, Anna S., Lovell, James, Lubelchek, Ronald, Lucaj, John, Luckasen, Gary, Luetkemeyer, Annie, Lugogo, Njira Lucia, Maenza, Janine, Malvestutto, Carlos, Mauri, Monica, Maves, Ryan C., Mayer, Kenneth H., McCartney, Michael J., McCort, Margaret E., McElrath, M. Juliana, McNairy, Meredith, Merino, Fernando L., Meyerowitz, Eric A., Mitchell, Carol L., Monaco, Cynthia L., Muhammad, Sauda, Muñoz-Gómez, Sigridh, Munsiff, Sonal, Nee, Paul, Nollen, Nicole L., Noor, Asif, Lagos, Claudio Nuñez, Okulicz, Jason F., Oliver, Patrick A., Ortega, Jessica, Palmer, Steven, Parameswaran, Lalitha, Parikh, Purvi, Parker, Susan, Parungao, Reza, Pavie, Juana R., Madan, Rebecca P., Peralta, Henry, Petts, Jennifer, Pierce, Kristen K., Pretell Alva, E. Javier, Purpura, Lawrence J., Raabe, Vanessa, Recuenco, Sergio E., Richards, Tamara, Riddler, Sharon A., Rizzardi, Barbara, Rokser, Rachel, Rolle, Charlotte-Paige, Rosen, Adam, Rosen, Jeffrey, Freese, Lena R., Santolaya, María E., Schipani, Linda M., Schwartz, Adam, Schwasinger-Schmidt, Tiffany, Scott, Hyman, Sha, Beverly E., Shankaran, Shivanjali, Shapiro, Adrienne E., Sharp, Stephan C., Shopsin, Bo, Sims, Matthew D., Skipper, Stephanie, Smith, Derek M., Smith, Michael J., Sobhanie, M. 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Geuss, Georgettea, Miles, Chelsea, Bittner, Zachary, Werne, Melody, Calinescu, Cornell, Rodman, Shannon, Rindt, Joshua, Cooksey, Erin, Harrison, Kristina, Cooper, Deanna, Horton, Manisha, Philyaw, Amanda, Jennings, William, Alvarado, Hilario, Baka, Michele, Regalado, Malina, Murray, Linda, Naguib, Sherif, Singletary, Justin, Richmond, Sha-Wanda, Omodele, Sarah, Oppenheim, Emily, Martinez, Reuben, Andriulis, Victoria, Singer, Leonard, Blevins, Jeanne, Thomas, Meagan, Hull, Christine, Pereira, Isabel, Rivero, Gina, Okonya, Tracy, Downing, Frances, Miller, Paulina, Rhee, Margaret, Stapleton, Katherine, Klein, Jeffrey, Hong, Rosamond, Swan, Suzanne, Wahlin, Tami, Bennett, Elizabeth, Salzl, Amy, Phan, Sharine, White, Jewel J., Occhino, Amanda, Paiano, Ruth, McLaughlin, Morgan, Swieboda, Elisa, Garcia-Fragoso, Veronica, Becerra, Maria G., White, Toni, Turley, Christine B., McWilliams, Andrew, Esinhart, Tiffany, Montoya, Natasha, Huskey, Shamika, Paul, Leena, Tashima, Karen, Johnson, Jennie, Neill, Marguerite, Sanchez, Martha, Rybak, Natasha, Mileno, Maria, Cohen, Stuart H., Ruiz, Monica, Boswell, Dean M., Robison, Elizabeth E., Reynolds, Trina L., Neumeister, Sonja, Zorrilla, Carmen D., Rivera, Juana, Ibarra, Jessica, García, Iris, Sierra, Dianca, Ramon, Wanda, Fiorillo, Suzanne, Pitotti, Rebecca, Anderson, Victoria R., Mancilla, Jose Castillo, Le, Nga, Winokur, Patricia L., Ince, Dilek, Hegmann, Theresa, Meier, Jeffrey, Stapleton, Jack, Stulken, Laura, McArthur, Monica, Berry, Andrea, Tapia, Milagritos, Hammershaimb, Elizabeth, Robinson, Toni, MacBryde, Rosa, Kline, Susan, Billings, Joanne L., Cavert, Winston, Forgosh, Les B., Schacker, Timothy W., Bold, Tyler D., Dandachi, Dima, Nelson, Taylor, Bran, Andres, Geiger, Grant, Naqvi, S. Hasan, Florescu, Diana F., Starlin, Richard, Kline, David, Zimmer, Andrea, Abbas, Anum, Wilson, Natasha, Eron, Joseph J., Sciaudone, Michael, Rosengren, A. Lina, Kizer, John S., Rutstein, Sarah E., Bruce, Elizabeth, Espinosa, Claudia, Sanders, Lisa J., Kim, Kami, Casey, Denise, Taylor, Barbara S., Patterson, Thomas, Pinilla, Ruth S., Bullock, Delia, Ponce, Philip, Patterson, Jan, McClelland, R. Scott, Lane, Dakotah C., Wald, Anna, James, Frank, Duke, Elizabeth, Hauge, Kirsten, Heimonen, Jessica, Goecker, Erin A., Huang, Yunda, Fong, Youyi, Kauffman, Carol, Linder, Kathleen, Nofz, Kimberly, McConnell, Andrew, Buynak, Robert J., Webb, Angella, Petty, Taryn, Andree, Stephanie, Sanchez, Erica, Mackey, Nolan, Baudelaire, Clarisse, Dzigiel, Sarah, Marquez, Adrienna, Quillin, Kim, King, Michelle, Abad, Vanessa, Knowles, Jennifer, Waters, Michael, Zepeda, Karla, Coslet, Jordan, Tovar, Dalia, Shaw, Marian E., Turner, Mark A., Huffine, Cory J., Huffine, Esther S., Ake, Julie A., Secord, Elizabeth, McGrath, Eric, Levy, Phillip, Stewart, Brittany, Cromer, Charnell, Walters, Ayanna, Ellsworth, Grant, Greene, Caroline, Galloway, Sarah, Kapadia, Shashi, DeHaan, Elliot, Wilson, Clint, Milligan, Jason, Raley, Danielle, Bocchini, Joseph, McClenathan, Bruce, Hussain, Mary, Lomasney, Evelyn, Hall, Evelyn, Lamberth, Sherry, Schmeck, Christy, Leathers, Vickie, Theodore, Deborah A., Branche, Angela R., Graciaa, Daniel S., Hatlen, Timothy J., Miller, Jacqueline, Sadoff, Jerald, Falsey, Ann R., Sobieszczyk, Magdalena E., Rick, Anne-Marie, Laurens, Matthew B., Huang, Ying, Yu, Chenchen, Martin, Thomas C.S., Rodriguez, Carina A., Rostad, Christina A., Maboa, Rebone M., Baden, Lindsey R., El Sahly, Hana M., Grinsztejn, Beatriz, Gray, Glenda E., Gay, Cynthia L., Gilbert, Peter B., Janes, Holly E., Kublin, James G., Leav, Brett, Hirsch, Ian, Struyf, Frank, Dunkle, Lisa M., Neuzil, Kathleen M., Corey, Lawrence, Goepfert, Paul A., Follmann, Dean, and Kotloff, Karen L.

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2023
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