2,478 results on '"Ragin, A"'
Search Results
2. An exploratory analysis of the impact of area-level exposome on geographic disparities in aggressive prostate cancer
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Daniel Wiese, Tesla D. DuBois, Kristen A. Sorice, Carolyn Y. Fang, Camille Ragin, Mary Daly, Adam C. Reese, Kevin A. Henry, and Shannon M. Lynch
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Medicine ,Science - Abstract
Abstract Numbers of aggressive prostate cancer (aPC) cases are rising, but only a few risk factors have been identified. In this study, we introduce a systematic approach to integrate geospatial data into external exposome research using aPC cases from Pennsylvania. We demonstrate the association between several area-level exposome measures across five Social Determinants of Health domains (SDOH) and geographic areas identified as having elevated odds of aPC. Residential locations of Pennsylvania men diagnosed with aPC from 2005 to 2017 were linked to 37 county-/tract-level SDOH exosome measures. Variable reduction processes adopted from neighborhood-wide association study along with Bayesian geoadditive logistic regression were used to identify areas with elevated odds of aPC and exposome factors that significantly attenuated the odds and reduced the size of identified areas. Areas with significantly higher odds of aPC were explained by various SDOH exposome measures, though the extent of the reduction depended on geographic location. Some areas were associated with race (social context), health insurance (access), or tract-level poverty (economics), while others were associated with either county-level water quality or a combination of factors. Area-level exposome measures can guide future patient-level external exposome research and help design targeted interventions to reduce local cancer burden.
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- 2024
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3. Delayed breast cancer presentation, diagnosis, and treatment in Kenya
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Daniel, Ojuka, Ashrafi, Adiba, Muthoni, Musibi Alice, Njoki, Njiraini, Eric, Hungu, Marilynn, Omondi, Faith, Aseta Bonareri, Beth, Wambui Githambo, Nyakio, Mburu, Odero-Marah, Valerie, Ragin, Camille, and Llanos, Adana A. M.
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- 2023
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4. Quality of life in the year after new diagnosis with advanced prostate cancer for Black and White individuals living in the US
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Rencsok, Emily M., Slopen, Natalie, Autio, Karen, Morgans, Alicia, McSwain, Lawrence, Barata, Pedro, Cheng, Heather H., Dreicer, Robert, Heath, Elisabeth, McKay, Rana R., Pomerantz, Mark, Rathkopf, Dana, Tagawa, Scott, Whang, Young E., Ragin, Camille, Odedina, Folakemi T., George, Daniel J., Kantoff, Philip W., Vinson, Jacob, Villanti, Paul, Haneuse, Sebastien, and Mucci, Lorelei A.
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- 2023
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5. How Do Virtual Team Members Perceive the Impact of COVID-19 on Team Learning?
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Cindy N. Ragin
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The COVID-19 pandemic (COVID-19), prompted changes in how businesses, schools, and governments around the world operate. One such change has been the widespread shift to virtual environments as a means through which individuals interact. COVID-19 has challenged the work standards of organizations, people, and teams. In doing so, it has also presented opportunities to examine how widespread teleworking and virtual teams keep organizations afloat and competitive. It is critical that team members can adapt to virtual environments (Cordes, 2016), and that may prove difficult in an emergency. In the emergency conditions resulting from COVID-19, coupled with the existing trend toward the integration of virtual teams into organizations and their operations, understanding how these teams learn is also important. This study explored how virtual team learning was impacted by sudden and unexpected organizational changes resulting from COVID-19. This is important in the building of foundational information upon which organizations can base new policies and practices to implement in times of sudden change/crisis, as well as build a framework for employees through which issues with work design, team collaboration, and team learning can be resolved (DeLeon., 2020). The data gathered from virtual team members as a result of this study will also be useful to teleworking and virtual team program managers, organizational development professionals, and human resource practitioners. Organizations may utilize research on virtual teams to reduce failure both during normal operations and crises (Whillans et al., 2021). [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
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- 2023
6. Defining aggressive prostate cancer: a geospatial perspective
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Wiese, Daniel, DuBois, Tesla D., Sorice, Kristen A., Fang, Carolyn Y., Ragin, Camille, Daly, Mary B., Reese, Adam C., Henry, Kevin A., and Lynch, Shannon M.
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- 2023
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7. Art, Archive, and Fictive Historiography in Lebanon's "Protracted Now"
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Randall, Renée Ragin
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- 2023
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8. Blank screen — what lecturers face in remote teaching
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Katarzyna Ragin-Skorecka, Daria Motała, Agnieszka Stachowiak, Piotr Mitkowski, Jędrzej Suchecki, and Hubert Wojciechowski
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hybrid and online teaching ,he ,problems in distance learning ,Education (General) ,L7-991 - Abstract
Last three years has brought numerous challenges to educators at various levels, and in the same time dynamic progress in dissemination of the teaching technologies. These resulted in the increase in knowledge on the remote and hybrid teaching process yet revealed research gaps unrecognized before. The paper presents the research aiming to fill in the research gap by recognizing problems perceived by educators and emerging from online and hybrid teaching. The problems were recognized thanks to international-range research within HOTSUP project. The list includes infrastructural, technical, technological and methodological problems that were addressed in the further stages of the project.
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- 2023
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9. Current Status and Future Direction to Address Disparities in Diversity, Equity, and Inclusion in Prostate Cancer Care
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Fu, Jerry, Fu, Chen, Wang, Robert S., Geynisman, Daniel M., Ghatalia, Pooja, Lynch, Shannon M., Harrison, Sharon R., Tagai, Erin K., and Ragin, Camille
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- 2023
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10. A set-analytic approach to intersectionality
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Ragin, Charles C. and Fiss, Peer C.
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- 2024
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11. Legacy effect on neuropsychological function in HIV-infected men on combination antiretroviral therapy
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Qu, Yang, Weinstein, Andrea, Wang, Zheng, Cheng, Yu, Kingsley, Lawrence, Levine, Andrew, Martin, Eileen, Munro, Cynthia, Ragin, Ann B, Rubin, Leah H, Sacktor, Ned W, Seaberg, Eric C, and Becker, James T
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Medical Microbiology ,Biomedical and Clinical Sciences ,Aging ,Rehabilitation ,Mental Health ,Clinical Research ,Infectious Diseases ,HIV/AIDS ,Behavioral and Social Science ,Acquired Cognitive Impairment ,Depression ,Prevention ,Brain Disorders ,2.1 Biological and endogenous factors ,Aetiology ,2.4 Surveillance and distribution ,Infection ,Antiretroviral Therapy ,Highly Active ,Cognition ,Cohort Studies ,HIV Infections ,Humans ,Longitudinal Studies ,Male ,Neuropsychological Tests ,combination antiretroviral therapy ,cognition ,HIV ,legacy effect ,Multicenter AIDS Cohort Study ,Neuropsychology Working Group of the Multicenter AIDS Cohort Study ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Virology ,Biomedical and clinical sciences ,Health sciences - Abstract
ObjectiveTo determine whether combination antiretroviral therapy (cART) initiation alters the trajectory of cognitive performance in HIV+ men, and whether cognition prior to cART predicts postcART function.DesignLongitudinal cohort study. Multicenter AIDS Cohort Study.MethodsFrom an initial set of 3701 men with complete neuropsychological data, men with HIV infection were initially matched with men without infection on cognitive status, race, age, and timeline (T0 defined as cART initiation). Propensity score matching was then used to match pairs on depressive symptoms at T0, education, T0 cognitive scores, and recruitment cohort. There were 506 matched pairs of infected and uninfected men in the final analysis. Mixed effect models were constructed to analyze the trajectories of cognitive functions and to test the effect of cART and HIV on cognitive functions over time.ResultsPerformance in each cognitive domain did not change following the initiation of cART among HIV-infected men with prior impairment and was comparable to the performance of their matched uninfected men. However, among the infected men who were unimpaired prior to cART, motor function declined significantly faster than it did for uninfected controls.ConclusionsCognitive dysfunction is persistent in HIV-infected men and cART does not alter the trajectory of cognitive decline in men who were impaired prior to effective therapy. This suggests that current cognitive impairment in HIV+ men results from a legacy effect, and from factors other than the HIV itself. Furthermore, motor skills may be uniquely vulnerable to the virus, cART, or age-related co-morbidities.
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- 2022
12. Assessment of Baseline Ultrawidefield Fluorescein Angiographic Quantitative Leakage Parameters with Ultrawidefield Fundus Features and Clinical Parameters in Diabetic Retinopathy in Protocol AA
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Harara, Abla M., Palacios, Angela N., Berger, Brian B., Corak, Boris, Luong, Bianca, Jhaveri, Chirag D., Wilson, Daniela Mariel, Jonna, Gowtham, Gunderson, Ivana, Hosein, Kimberly, Reid, Ryan M., Chexal, Saradha, Moore, Tori, Seidu, Tina A., Gatavaski, Valerie, Ren, Yong, Stern, Bradley A., Benvenutti, Celia E., Oude-Reimerink, Dinah S., Shaheen, Jenny, Grybas, John, Vitale-Kuhn, Julianne, Staffne, Jessica L., Ventimiglia, Katie M., Allis, Megan, Monk, Mary K., Thomas, Marc E., Massu, Nicole M., Edwards, Paul Andrew, Troszak, Tracy A., Irons, Amber N., Rego, Brittany, Han, Dennis P., Dorsey, Eleanor, Nelson, Erika, Sheppard, Hannah, Beringer, Joseph R., Kim, Judy E., Keller, Kristy L., Packard, Krissa L., Altmann, Marriner L., Goldberg, Mara, Chen, Nickolas, Winter, Pat A., Bourgeois, Shay, Jacobo, Samantha, Moebius, Stephanie J., Connor, Thomas B., Barwick, Vicki, Williams, Vesper V., Wirostko, William J., Ghuman, A. Thomas, Leslie, Anita H., Sharma, Ashish G., Kiesel, Cheryl, Dyshanowitz, Danielle, Knips, Eileen, Wing, Glenn, Walker, Joseph P., Raskauskas, Paul A., Kiesel, Raymond K., Schlossman, Deborah K., Weimann, Elizabeth S., Sharuk, George S., Kwak, Hanna, Cavallerano, Jerry D., Rhee, Jae W., Sampani, Konstantina, Tran, Katie V., Bestourous, Leila, Miranda, Linette, Krigman, Michael N., Stockman, Margaret E., Arrigg, Paul G., Cavicchi, Robert W., Kirby, Rita K., Glynn, Shireen, Papaconstantinou, Steve L., Shah, Sabera T., Murtha, Timothy J., Carli, William, Finch, Autumn K., Gentile, Angella K., Price, Angela K., Murphy, Brittany A., Rowland, Beverly O., Fleming, Christina J., Mahr, Courtney, Shore, Carol A., Browning, David, McClain, Donna, Breglio, Erica, Lester, Gina M., Herby, Jenna T., Bratcher, Kayla A., Clark, Loraine M., Jackson, Lisa A., Watson, Lynn, McOwen, Michael D., Punjabi, Omar S., Bojaj, Swann J., Ennis, Sarah A., Fredenberg, Sherry L., Jones, Taylor S., Ragin, Teneisha A., Balasubramaniam, Uma M., Ornelas, Blanca, Rodriquez, Brenda, Edwards, Carla, Carns, Danielle R., Tonner, Eileen E., Woo, Kisung, Richine, Len, MacCumber, Mathew W., Merrill, Pauline Townsend, Kociborski, Sarah, Harless, Ashley M., Harris, Charlotte, White, Lorraine, Maturi, Raj K., Asher, Julie, Walsh, Justin, Wheeler, Jeff, Milstead, Katie, Oliver, Kristina, Lovelady, Lisa, Anderson, Nicholas G., Coppola, Patricia, Lince, Raul E., Shuler, R. Keith, Morris, Steve, Oelrich, Sarah M., Gardner, Brandon S., Moore, Bob, Cain, Dennis, Donohue, Deborah, Emmert, David, Adeyemo, Kemi, Levin, Lisa K., Frey, Mary, Rhoton, Nick, Bressler, Susan, Solomon, Sharon D., Ford, Amy L., Hughes, Ashley, Brewer, Alisha N., Booth, JoAnn T., Lunsford, Keven W., Ukleya, Lauren D., Burris, Russ, Kingsley, Ronald M., Almeida, Shannon R., Icks, Sonny, Shah, Vinay A., Bergman, Vanessa A., Castellarin, Alessandro A., Shook, Aimee H., Walker, Aimee, Pieramici, Dante J., Hong, Gina, Avery, Kelly, McKee, Kate M., Giust, Matthew, Munoz, Marco A., Fishbein, Sarah, Camp, Alecia B., Baker, Carl W., Baker, Jil D., Sedberry, Kylie S., Lambert, Lynnette F., Orr, Margaret J., Alcaraz, Sonya L., Kettler, Samantha, Caldwell, Tracey M., Miller, Abigail, Dorr, Christine M., Hampton, G. Robert, Brown, Jamin S., Barker, Jeffrey P., Rosenberg, Kevin I., Kwasniewski, Lynn M., Sienkiewycz, Laurie J., Spuches, Lisa, Manley, Michelle L., Robarge, Nicole E., DeSantis, Stefanie R., DeForge, Teresa M., Brucker, Alexander J., Kim, Benjamin J., Berger, Jim M., DuPont, Joan C., Drossner, Sheri, Freeman, Sara, Studebaker, Ashley, Payne, John F., Wells, John A., Spivey, Robbin, Ogbuewu, Tiffany N., Swinford, Tiffany R., Guillory, Adrienne, Hutson, Amy, Schefler, Amy C., Shah, Ankoor R., Almanza, Belinda A., Dives, Brenda, Richter, Beau A., Stoever, Cary A., Brown, David M., Foerster, Danee, Garcia, David, Rodriguez, Diana, Park, Daniel, Chen, Eric, Kegley, Eric N., Quellar, Elizabeth, Twining, Garret L., Koger-Grifaldo, Heather, Ortega, Ilsa, Carranza, Jolene, Major, James C., Williamson, Kimberly, Burt, Lindsay, Salinas, Luis R., Wolff, Lisa M., Benz, Matthew S., Estes, Maura A., James, Miranda F., Berry, Meredith, Vela, Melina, Landaverde, Nubia, Webb, Nina A., Fish, Richard H., Kim, Rosa Y., Yee, Rebecca, Karani, Sadia Y., Supapo, Stacy M., Dodel, Tamara L., McCoy, Tyneisha, Wong, Tien P., Sneed, Veronica A., Barnhart, Cassandra J., Cantrell, Debra, DuBose, Elizabeth L., Sharpe, Houston P., Ulrich, Jan Niklas, Bhansali, Kanika A., Esquejo, Rona Lyn, Garg, Seema, Grout, Sean, McKinney, Allen, Bobbitt, Brenda J., Wendel, Ceara L., Fagan, Damanda F., Andrews, Jacqueline, Holmes, Krystal Nikki, Seyez, Karen L., Williamson, Kimberly A., Moinfar, Nader, Walters, Paige N., Carlton, Steve, Rehling, Shannon M., Williams, Shana E., Reed, Tiara L., VandeVelde, Amber R., Yeager, Frank T., Fox, Gregory M., Batlle, Ivan R., Bruce, Kiersten, Pippin, Katherine, Ainley, Lexie R., Singh, Ravi S.J., Adamo, Ashley M., Guardado, Adrian, Patel, Apurva K., Puckett, Brian S., Hoerner, Christine, Ma, Colin, Clark, David J., Flato, Inessa M., Cohen, Joshua, Charpentier, Margaret E., Kopfer, Marcia, Peters, Mark A., Smith, Pualani, Tlucek, Paul S., Hobbs, Stephen, Ho, Stephanie L., Metzger, Ashley M., McCalla, Alesia K., Thompson, Amy, Ringrose, Christine, Sandler, Dallas R., Leder, Henry A., Belz, Jennifer L., Starr, JoAnn, Simmons, Jennifer L., Orr, Peggy R., Sotirakos, Peter, Singletary, Pamela V., Cain, Terri, Coffey, Teresa, Carter, Tiffany M., Robinson, Twyla J., Shah, Chirag P., Cammarata, Dominique, Kruger, Jennifer L., Colegrove, Lindsey, Graham, Margie, Gleason, Shane T., Noel, Bryan, Damron, Catherine, Holcomb, Diana M., Slade, Edward A., Van Arsdall, Jeanne, Bicknell, Lisa, Buck, Michelle, Stone, Thomas W., Farooq, Amina, Parsons, Brook, Singh, Harinderjit, Ivey, Ken, Foster, Lindsay Allison, Woodward, Michele, Ortiz, Siobhan O., Bailey, Thomas, Mynampati A, Bharani Krishna, White, Cheryl L., Hamdani, Ghulam Shabbir, Smith, Jazzmin N., Chalam, Kakarla V., Sambhav, Kumar, Babaria, Romesh, Grover, Sandeep, Carroll, Catherine, Chau, Felix Y., Lim, Jennifer I., Talasnik, Lauren A., Janowicz, Mark, Stankovic, Natasa, Berlatsky, Sarah L., Niec, Marcia, Sun, Jie, Johnson, Tametha, Ovando, Yesenia, Nakoski, Brenda, Mein, Calvin E., Wienecke, Christopher Sean, Castillo, Elaine, Baker, Jaynee, San Roman, Jonathan, Adams, Lydia, Kirschbaum, Lita, Chica, Moises A., Cloudt, Sara L., Moore, Tori R., Sabates, Felix N., Gallimore, Gary S., Chen, Yin C., Swann, Adrienne C., Cadwell, Deborah M., Diddie, Kenneth R., Boisvert, Taryn F., Tessau, Carrie D., Bowers, Jack, Nielsen, Jared S., Rostvold, Jay, Spillman, Jamie, Alliman, Kyle J., Boender, Lisa M., Johnson, Marilyn A., Parker, Marianne, Bix, Paula L., Ridgway, Spencer D., Woehl, Tami Jo, Stonewall, Whitney, Brown, Christopher M., Lema, Gareth M.C., Wiechelt, Luann, Yoganathan, Pradeepa, Boglione, Sandra L., Montesclaros, Chris A., Mangham, Cory, Karsaliya, Gopal, Le, Phillip V., Wong, Robert W., Godfrey, Anne Marie, Kuzmanovic, Aleksandra, Kirker, Andrew William, Harrison, Bryan, Forooghian, Farzin, Elvena, Garnet Louise, Hall, Laura J., Turhal, Bilgin, Brown, Ian, Kotei, Isaac A., Chen, Lina, Brent, Michael Henry, Moon, Michelle, Sutakovic, Olivera, Chang, Angela, Godfrey, Anne-Marie, Albiani, David, Maberley, David A.L., Navajas, Eduardo Vitor, Grant, Kelly, Tran, Khoi A., Jovanovic, Mira, Cao, Sijia, Wiens, Theresa, Kozbial, Andrzej, Orlin, Anton, Lenane, Courtney Nichole, Herder, Susan P., Kiss, Szilard, Reeves, Tom, Cruess, Alan F., Dean, Andrea, Hoskin-Mott, Ann, Morrison, Christine, Caldwell, Meggie D., Hynes, Mitzi, Gupta, R. Rishi, Durling, Stacey, MacDonnell, Trina, Beck, Roy W., Baptista, Alyssa, Beaulieu, Wesley T., Calhoun, Claire T., Constantine, Sharon R., Correia, Isabella, Dale, Brian B., Dupre, Simone S., Franklin, Crystal A., Galusic, Sandra, Huggins, Meagan, Hunter, Brenda L., Johnson, Paula A., Josic, Kristin, Kelly, Brittany, Maguire, Maureen G., Meadows, Britney, Stockdale, Cynthia R., Zokruah, Alice, Bhargava, Sangeeta, Barkmeier, Andrew J., Baskin, Darrell, Blodi, Barbra, Chew, Emily, Ferris, Frederick L., Jaffe, Glenn J., Bressler, Neil M., Lujan, Brandon, Tolls, Dorothy, Sheridan, Daniel, Pitoc, Cloyd M., Anne C Aquino, Lizzie, Salva, Claude Michael G., Lewis, Drew, Stainback, Jeffery, Makkena, Vijaya, Winter, Katrina, Mora, Adiel, Harrington, Chris, Vinh, Doc-Lap, Ehlers, Justis P., Yordi, Sari, Martin, Alison, Srivastava, Sunil K., and Sun, Jenifer K.
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- 2024
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13. Probability weighting and insurance demand in a unified framework
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Jaspersen, Johannes G., Peter, Richard, and Ragin, Marc A.
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- 2023
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14. Defining aggressive prostate cancer: a geospatial perspective
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Daniel Wiese, Tesla D. DuBois, Kristen A. Sorice, Carolyn Y. Fang, Camille Ragin, Mary B. Daly, Adam C. Reese, Kevin A. Henry, and Shannon M. Lynch
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Prostate cancer ,Geospatial ,Aggressive prostate cancer ,Survival analysis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Spatial analysis can identify communities where men are at risk for aggressive prostate cancer (PCan) and need intervention. However, there are several definitions for aggressive PCan. In this study, we evaluate geospatial patterns of 3 different aggressive PCan definitions in relation to PCan-specific mortality and provide methodologic and practical insights into how each definition may affect intervention targets. Methods Using the Pennsylvania State Cancer Registry data (2005–2015), we used 3 definitions to assign “aggressive” status to patients diagnosed with PCan. Definition one (D1, recently recommended as the primary definition, given high correlation with PCan death) was based on staging criteria T4/N1/M1 or Gleason score ≥ 8. Definition two (D2, most frequently-used definition in geospatial studies) included distant SEER summary stage. Definition three (D3) included Gleason score ≥ 7 only. Using Bayesian spatial models, we identified geographic clusters of elevated odds ratios for aggressive PCan (binomial model) for each definition and compared overlap between those clusters to clusters of elevated hazard ratios for PCan-specific mortality (Cox regression). Results The number of “aggressive” PCan cases varied by definition, and influenced quantity, location, and extent/size of geographic clusters in binomial models. While spatial patterns overlapped across all three definitions, using D2 in binomial models provided results most akin to PCan-specific mortality clusters as identified through Cox regression. This approach resulted in fewer clusters for targeted intervention and less sensitive to missing data compared to definitions that rely on clinical TNM staging. Conclusions Using D2, based on distant SEER summary stage, in future research may facilitate consistency and allow for standardized comparison across geospatial studies.
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- 2023
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15. The Interpretive Logic of Generalized Analytic Induction
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Ragin, Charles C., primary
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- 2023
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16. Core Features of Generalized Analytic Induction
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Ragin, Charles C., primary
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- 2023
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17. Generalized Analytic Induction: A Step-by-Step Guide
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Ragin, Charles C., primary
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- 2023
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18. Classic versus Generalized Analytic Induction
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Ragin, Charles C., primary
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- 2023
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19. Introduction
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Ragin, Charles C., primary
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- 2023
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20. Reconciling Disconfirming Cases
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Ragin, Charles C., primary
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- 2023
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21. Applying Generalized AI to Conventional Quantitative Data
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Ragin, Charles C., primary
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- 2023
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22. Using Generalized AI to Reanalyze Viterna’s Study of Women’s Mobilization into the Salvadoran Guerrilla Army
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Ragin, Charles C., primary
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- 2023
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23. Explaining Variation versus Explaining Outcomes
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Ragin, Charles C., primary
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- 2023
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24. Classic Analytic Induction
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Ragin, Charles C., primary
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- 2023
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25. The Uses of “Negative” Cases in Social Research
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Ragin, Charles C., primary
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- 2023
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26. Effect of Yb3+/Er3+ co-doping on the emission properties of fluoroindate glass and glass optical fiber
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Ragin, Tomasz, Starzyk, Bartlomiej, Baranowska, Agata, Sadowska, Karolina, Askirka, Valiantsin, Kuwik, Marta, Jimenez, Gloria Lesly, Pugliese, Diego, Miluski, Piotr, Zmojda, Jacek, Dorosz, Jan, Pisarski, Wojciech, Pisarska, Joanna, Kochanowicz, Marcin, and Dorosz, Dominik
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- 2023
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27. Spectroscopic properties of the silicate-gallo-germanate glasses and glass-ceramic optical fiber co-doped with Ni2+/Er3+
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Markiewicz, Jakub, Ragin, Tomasz, Leśniak, Magdalena, Sadowska, Karolina, Żmojda, Jacek, Miluski, Piotr, Pisarski, Wojciech A., Pisarska, Joanna, Szymczak, Patryk, Handke, Bartosz, Dorosz, Jan, Kochanowicz, Marcin, and Dorosz, Dominik
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- 2023
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28. Optimization of blue upconverted light emission based on fluoroindate glass matrix and subsequent chitosan functionalization.
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Jimenez, G. Lesly, Shrestha, Binita, Porter, Tyrone, Brzychczy-Włoch, Monika, Vazquez-Lopez, C., Falcony, Ciro, Rosales, Isela Padilla, Ragin, Tomasz, Kochanowicz, Marcin, and Dorosz, Dominik
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- 2023
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29. Analytic Induction for Social Research
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Ragin, Charles C.
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Social Science / Research ,Social Science / Sociology ,Social Science / Methodology - Abstract
A free ebook version of this title is available through Luminos, University of California Press’s Open Access publishing program. Visit www.luminosoa.org to learn more. This book explores analytic induction, an approach to the analysis of cross-case evidence on qualitative outcomes that has deep roots in sociology. A popular research technique in the early decades of empirical sociology, analytic induction differs fundamentally as a method of social research from conventional variation-based approaches. In Analytic Induction for Social Research, Charles C. Ragin demonstrates that much is gained from systematizing analytic induction. The approach he introduces here offers a new template for conducting cross-case analysis and provides a new set of tools for answering common research questions that existing methods cannot address.
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- 2023
30. Longitudinal 5-year prediction of cognitive impairment among men with HIV disease
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Oliveira, Natalia L, Kennedy, Edward H, Tibshirani, Ryan, Levine, Andrew, Martin, Eileen, Munro, Cynthia, Ragin, Ann B, Rubin, Leah H, Sacktor, Ned, Seaberg, Eric C, Weinstein, Andrea, and Becker, James T
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Medical Microbiology ,Biomedical and Clinical Sciences ,Health Sciences ,Brain Disorders ,Mental Health ,Liver Disease ,Neurosciences ,Digestive Diseases ,Infectious Diseases ,Acquired Cognitive Impairment ,Clinical Research ,Prevention ,Behavioral and Social Science ,HIV/AIDS ,Aging ,Dementia ,Infection ,Good Health and Well Being ,Cognitive Dysfunction ,Cohort Studies ,HIV Infections ,Homosexuality ,Male ,Humans ,Longitudinal Studies ,Male ,Sexual and Gender Minorities ,cognition ,HIV ,LASSO ,risk prediction ,Neuropsychology Working Group of the Multicenter AIDS Cohort Study ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Virology ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundAlthough combination antiretroviral therapy reduced the prevalence of HIV-associated dementia, milder syndromes persist. Our goals were to predict cognitive impairment of the Multicenter AIDS Cohort Study (MACS) participants 5 years ahead and from a large pool of factors, select the ones that mostly contributed to our predictions.DesignLongitudinal, natural and treated history of HIV infection among MSM.MethodsThe MACS is a longitudinal study of the natural and treated history of HIV disease in MSM; the neuropsychological substudy aims to characterize cognitive disorders in men with HIV disease.ResultsWe modeled on an annual basis the risk of cognitive impairment 5 years in the future. We were able to predict cognitive impairment at individual level with high precision and overperform default methods. We found that while a diagnosis of AIDS is a critical risk factor, HIV infection per se does not necessarily convey additional risk. Other infectious processes, most notably hepatitis B and C, are independently associated with increased risk of impairment. The relative importance of an AIDS diagnosis diminished across calendar time.ConclusionOur prediction models are a powerful tool to help clinicians address dementia in early stages for MACS paticipants. The strongest predictors of future cognitive impairment included the presence of clinical AIDS and hepatitis B or C infection. The fact that the pattern of predictive power differs by calendar year suggests a clinically critical change to the face of the epidemic.
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- 2021
31. Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks
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Liu, Jiahao, Ma, Guixiang, Jiang, Fei, Lu, Chun-Ta, Yu, Philip S., and Ragin, Ann B.
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Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Image and Video Processing ,Statistics - Machine Learning - Abstract
Brain networks have received considerable attention given the critical significance for understanding human brain organization, for investigating neurological disorders and for clinical diagnostic applications. Structural brain network (e.g. DTI) and functional brain network (e.g. fMRI) are the primary networks of interest. Most existing works in brain network analysis focus on either structural or functional connectivity, which cannot leverage the complementary information from each other. Although multi-view learning methods have been proposed to learn from both networks (or views), these methods aim to reach a consensus among multiple views, and thus distinct intrinsic properties of each view may be ignored. How to jointly learn representations from structural and functional brain networks while preserving their inherent properties is a critical problem. In this paper, we propose a framework of Siamese community-preserving graph convolutional network (SCP-GCN) to learn the structural and functional joint embedding of brain networks. Specifically, we use graph convolutions to learn the structural and functional joint embedding, where the graph structure is defined with structural connectivity and node features are from the functional connectivity. Moreover, we propose to preserve the community structure of brain networks in the graph convolutions by considering the intra-community and inter-community properties in the learning process. Furthermore, we use Siamese architecture which models the pair-wise similarity learning to guide the learning process. To evaluate the proposed approach, we conduct extensive experiments on two real brain network datasets. The experimental results demonstrate the superior performance of the proposed approach in structural and functional joint embedding for neurological disorder analysis, indicating its promising value for clinical applications.
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- 2019
32. Brain structural correlates of trajectories to cognitive impairment in men with and without HIV disease
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Popov, Mikhail, Molsberry, Samantha A, Lecci, Fabrizio, Junker, Brian, Kingsley, Lawrence A, Levine, Andrew, Martin, Eileen, Miller, Eric, Munro, Cynthia A, Ragin, Ann, Seaberg, Eric, Sacktor, Ned, and Becker, James T
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Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Neurosciences ,Brain Disorders ,Behavioral and Social Science ,Aging ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Brain ,Cognitive Dysfunction ,Cohort Studies ,Gray Matter ,HIV Infections ,Humans ,Magnetic Resonance Imaging ,Male ,Middle Aged ,HIV ,Dementia ,Multiple imputation ,Brain structure ,Mixed membership trajectory ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Experimental Psychology ,Biomedical and clinical sciences ,Health sciences - Abstract
There are distinct trajectories to cognitive impairment among participants in the Multicenter AIDS Cohort Study (MACS). Here we analyzed the relationship between regional brain volumes and the individual trajectories to impairment in a subsample (n = 302) of the cohort. 302 (167 HIV-infected; mean age = 55.7 yrs.; mean education: 16.2 yrs.) of the men enrolled in the MACS MRI study contributed data to this analysis. We used voxel-based morphometry (VBM) to segment the brain images to analyze gray and white matter volume at the voxel-level. A Mixed Membership Trajectory Model had previously identified three distinct profiles, and each study participant had a membership weight for each of these three trajectories. We estimated VBM model parameters for 100 imputations, manually performed the post-hoc contrasts, and pooled the results. We examined the associations between brain volume at the voxel level and the MMTM membership weights for two profiles: one considered "unhealthy" and the other considered "Premature aging." The unhealthy profile was linked to the volume of the posterior cingulate gyrus/precuneus, the inferior frontal cortex, and the insula, whereas the premature aging profile was independently associated with the integrity of a portion of the precuneus. Trajectories to cognitive impairment are the result, in part, of atrophy in cortical regions linked to normal and pathological aging. These data suggest the possibility of predicting cognitive morbidity based on patterns of CNS atrophy.
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- 2020
33. The Best Fruit: How Raising Your Emotional Intelligence Helps Spiritual Development
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Jacquelyn M. Ragin
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- 2023
34. Analytic Induction for Social Research
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Charles C. Ragin
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- 2023
35. Utility of formalin-fixed, paraffin-embedded prostate biospecimens from low-resource settings for use in next-generation sequencing studies in African-descent populations
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Ernest Kaninjing, Kayode A Adeniji, Andrew K Gachii, Paul Jibrin, John O Obafunwa, Chidiebere N Ogo, Mohammed Faruk, Ademola A Popoola, Omolara A Fatiregun, Olabode P Oluwole, William Aiken, Maria D Jackson, Robin A Roberts, Shravana Kumar Jyoti, Cherif Dial, Mohamed Jalloh, Lamine Niang, Medina Ndoye, Jason White, Balasubramanyam Karanam, Damian Francis, Denise Y Gibbs, Kathryn R Brignole, Clayton Yates, Camille Ragin, Folakemi T Odedina, and Damali N Martin
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Public aspects of medicine ,RA1-1270 - Abstract
# Background Men of African ancestry experience higher burden from prostate cancer compared to men of other ancestral backgrounds. Limitations in the availability of high-quality biospecimens hinder the inclusion of this population in genetic studies of prostate cancer. The use of formalin-fixed paraffin-embedded (FFPE) tissues represent a potential rich source of genetic material particularly in some international settings, where fresh frozen tissue is difficult to obtain. In this study, we investigate the feasibility of using FFPE biospecimens acquired from various international sites for utility in next-generation sequencing. # Methods A total of 976 FFPE blocks were collected between 2002 and 2017 from six international sites in Africa and the Caribbean representing three consortia: Prostate Cancer Transatlantic Consortium; African-Caribbean Cancer Consortium; and Men of African Descent and Carcinoma of the Prostate. Genomic DNA was checked for quality and quantity. Differences in mean quality control (QC) for pre-and-post pathology training were assessed using t-test. Pearson chi-square with trend analysis examined association between time-category and QC success status. Association of continuous DNA quality (Q129/Q41 ratio) and time of specimen collection was estimated with linear regression. Samples with a DNA quantity \>0.2µg and a Q129/Q41 ratio \>0.00225 were submitted for whole exome sequencing (WES). # Results There was a positive relative percentage change in DNA quantity from 2002 to 2017 for Jamaica, Kenya and Senegal. There was a decline in DNA quantity over the same time period for Nigeria. There was a statistically significant improvement in quality of samples from Kenya (*P*=0.032), Nigeria (*P*\
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- 2023
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36. Editorial: Racial health disparity in cancer: assessments of need
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Jennie L. Williams, Jennifer A. Freedman, Camille Ragin, Folakemi T. Odedina, and Patricia Thompson
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cancer disparities ,determinants of cancer burdens ,cancer health equity ,black indigenous and people of color (BIPOC) ,structural and systemic racism ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2023
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37. Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis
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Liu, Ye, He, Lifang, Cao, Bokai, Yu, Philip S., Ragin, Ann B., and Leow, Alex D.
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Network analysis of human brain connectivity is critically important for understanding brain function and disease states. Embedding a brain network as a whole graph instance into a meaningful low-dimensional representation can be used to investigate disease mechanisms and inform therapeutic interventions. Moreover, by exploiting information from multiple neuroimaging modalities or views, we are able to obtain an embedding that is more useful than the embedding learned from an individual view. Therefore, multi-view multi-graph embedding becomes a crucial task. Currently, only a few studies have been devoted to this topic, and most of them focus on the vector-based strategy which will cause structural information contained in the original graphs lost. As a novel attempt to tackle this problem, we propose Multi-view Multi-graph Embedding (M2E) by stacking multi-graphs into multiple partially-symmetric tensors and using tensor techniques to simultaneously leverage the dependencies and correlations among multi-view and multi-graph brain networks. Extensive experiments on real HIV and bipolar disorder brain network datasets demonstrate the superior performance of M2E on clustering brain networks by leveraging the multi-view multi-graph interactions.
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- 2018
38. Cross-sectional analysis of cognitive function using multivariate normative comparisons in men with HIV disease.
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Wang, Zheng, Molsberry, Samantha A, Cheng, Yu, Kingsley, Lawrence, Levine, Andrew J, Martin, Eileen, Munro, Cynthia A, Ragin, Ann, Rubin, Leah H, Sacktor, Ned, Seaberg, Eric C, and Becker, James T
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Clinical Research ,Behavioral and Social Science ,Neurosciences ,HIV/AIDS ,Adult ,Anti-HIV Agents ,Bisexuality ,Cognition ,Cognitive Dysfunction ,Cohort Studies ,Cross-Sectional Studies ,HIV Infections ,HIV-1 ,Homosexuality ,Male ,Humans ,Male ,Middle Aged ,Neuropsychological Tests ,Prevalence ,Sensitivity and Specificity ,United States ,cognitive impairment ,false discovery rate ,HIV-associated neurocognitive disorders ,psychosocial tests ,the Frascati criteria ,the Gisslen criteria ,multicenter AIDS cohort study ,Neuropsychology Working Group of the Multicenter AIDS Cohort Study ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Virology - Abstract
BackgroundPrevalence estimates of cognitive impairment in HIV disease vary widely. Here we used multivariate normative comparison (MNC) with identify individuals with impaired cognition, and to compare the results with those using the Frascati and Gisslén criteria.MethodsThe current project used data collected before October 2014 from bisexual/gay men from the Multicenter AIDS Cohort Study. A total of 2904 men (mean age 39.7 years, 52.7% seropositive) had complete data in six cognitive domains at their first neuropsychological evaluation. T-scores were computed for each domain and the MNC was applied to detect impairment among seronegative and seropositive groups.ResultsThe MNC classified 6.26% of seronegative men as being impaired using a predetermined 5% false discovery rate. By contrast, the Frascati and the Gisslén criteria identified 24.54 and 11.36% of seronegative men as impaired. For seropositive men, the percentage impairment was 7.45, 25.73, and 11.69%, respectively, by the MNC, Frascati and Gisslén criteria. When we used seronegative men without medical comorbidities as the control group, the MNC, the Frascati and the Gisslén criteria identified 5.05, 27.07, and 4.21% of the seronegative men, and 4.34, 30.95, and 4.48% of the seropositive men as having cognitive impairment. For each method, serostatus was not associated with cognitive impairment.ConclusionThe MNC controls the false discovery rate and therefore avoids the low specificity that characterizes the Frascati and Gisslén criteria. More research is needed to evaluate the sensitivity of the MNC method in a seropositive population that may be sicker and older than the current study sample and that includes women.
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- 2019
39. Neuropsychological changes in efavirenz switch regimens.
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Li, Yijia, Wang, Zheng, Cheng, Yu, Becker, James T, Martin, Eileen, Levine, Andrew, Rubin, Leah H, Sacktor, Ned, Ragin, Ann, and Ho, Ken
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Biomedical and Clinical Sciences ,Infectious Diseases ,Depression ,Neurosciences ,Mental Health ,Adult ,Alkynes ,Anti-HIV Agents ,Benzoxazines ,Cohort Studies ,Cyclopropanes ,Drug Substitution ,Female ,HIV Infections ,Humans ,Male ,Middle Aged ,Neuropsychological Tests ,Severity of Illness Index ,depression ,efavirenz ,HIV ,HIV-associated neurocognitive disorders ,neuropsychological function ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Virology ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundEfavirenz is associated with side effects involving the central nervous system. However, it remains largely unknown whether switching off EFV improves neuropsychological performance.MethodsWe utilized data from the Multicenter AIDS Cohort Study (MACS). Participants were categorized by their use of EFV: never on EFV (No EFV), continuously on EFV (No Switch-OFF) and on EFV and then switched off (Switch-OFF). Baseline time points were defined as visits when first neuropsychological data were available. In Analysis 1, we compared neuropsychological and Center for Epidemiological Studies-Depression Scale (CES-D) scores before and after EFV switch in Switch-OFF group, aligning participants at the time of switch. Analysis 2 evaluated trajectory of neuropsychological/CES-D score among the three groups.ResultsThis analysis included 1989 HIV-seropositive participants with neuropsychological data (1675 in No EFV, 44 in No Switch-OFF, and 270 in Switch-OFF group). At baseline, participants had a median age of 37 years, median CD4 cell count 442 cells/μl, and 22.9% viral suppression rate. In Analysis 1, neuropsychological and CES-D scores did not show clinically significant changes over 2 years prior to and 4 years after switch in Switch-OFF group. In Analysis 2, trends in neuropsychological and CES-D scores in the three different groups did not show significant differences during a median of 3.2 years of follow-up.ConclusionDiscontinuation of EFV is not associated with changes in neuropsychological performance or severity of depression in men. Furthermore, we did not observe differences among participants who were never on EFV, continuously on EFV, and on EFV and then switched off.
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- 2019
40. Improving function through primary care treatment of PTSD: The IMPACT study protocol
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Rauch, Sheila A.M., Kim, H. Myra, Acierno, Ron, Ragin, Carly, Wangelin, Bethany, Blitch, Kimberly, Muzzy, Wendy, Hart, Stephanie, Zivin, Kara, and Cigrang, Jeffrey
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- 2022
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41. The comorbidity of depression and neurocognitive disorder in persons with HIV infection: call for investigation and treatment
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Karl Goodkin, Teresa H. Evering, Albert M. Anderson, Ann Ragin, Cynthia L. Monaco, Christina Gavegnano, Ryan J. Avery, Sean B. Rourke, Lucette A. Cysique, and Bruce J. Brew
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HIV ,depression ,neurocognitive impairment ,dopamine ,inflammation ,microbiome ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Depression and neurocognitive disorder continue to be the major neuropsychiatric disorders affecting persons with HIV (PWH). The prevalence of major depressive disorder is two to fourfold higher among PWH than the general population (∼6.7%). Prevalence estimates of neurocognitive disorder among PWH range from 25 to over 47% – depending upon the definition used (which is currently evolving), the size of the test battery employed, and the demographic and HIV disease characteristics of the participants included, such as age range and sex distribution. Both major depressive disorder and neurocognitive disorder also result in substantial morbidity and premature mortality. However, though anticipated to be relatively common, the comorbidity of these two disorders in PWH has not been formally studied. This is partly due to the clinical overlap of the neurocognitive symptoms of these two disorders. Both also share neurobehavioral aspects — particularly apathy — as well as an increased risk for non-adherence to antiretroviral therapy. Shared pathophysiological mechanisms potentially explain these intersecting phenotypes, including neuroinflammatory, vascular, and microbiomic, as well as neuroendocrine/neurotransmitter dynamic mechanisms. Treatment of either disorder affects the other with respect to symptom reduction as well as medication toxicity. We present a unified model for the comorbidity based upon deficits in dopaminergic transmission that occur in both major depressive disorder and HIV-associated neurocognitive disorder. Specific treatments for the comorbidity that decrease neuroinflammation and/or restore associated deficits in dopaminergic transmission may be indicated and merit study.
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- 2023
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42. Why do humans undergo an adiposity rebound? Exploring links with the energetic costs of brain development in childhood using MRI-based 4D measures of total cerebral blood flow
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Aronoff, Jacob E., Ragin, Ann, Wu, Can, Markl, Michael, Schnell, Susanne, Shaibani, Ali, Blair, Clancy, and Kuzawa, Christopher W.
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- 2022
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43. Full Collection of Personal Narratives
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Gould, Ingrid, Lewis, Christopher, Keefer, Valen, Colace, Antonella, Ragin, Danette, Ryan, Judith W., Graham, Leilani R., Slakter, David, Crais, Elizabeth, Senghor, Abdou Simon, Moran, James, Callaci, Allen, and Frantzen, Todd S.
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- 2022
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44. Multi-view Graph Embedding with Hub Detection for Brain Network Analysis
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Ma, Guixiang, Lu, Chun-Ta, He, Lifang, Yu, Philip S., and Ragin, Ann B.
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Computer Science - Learning - Abstract
Multi-view graph embedding has become a widely studied problem in the area of graph learning. Most of the existing works on multi-view graph embedding aim to find a shared common node embedding across all the views of the graph by combining the different views in a specific way. Hub detection, as another essential topic in graph mining has also drawn extensive attentions in recent years, especially in the context of brain network analysis. Both the graph embedding and hub detection relate to the node clustering structure of graphs. The multi-view graph embedding usually implies the node clustering structure of the graph based on the multiple views, while the hubs are the boundary-spanning nodes across different node clusters in the graph and thus may potentially influence the clustering structure of the graph. However, none of the existing works in multi-view graph embedding considered the hubs when learning the multi-view embeddings. In this paper, we propose to incorporate the hub detection task into the multi-view graph embedding framework so that the two tasks could benefit each other. Specifically, we propose an auto-weighted framework of Multi-view Graph Embedding with Hub Detection (MVGE-HD) for brain network analysis. The MVGE-HD framework learns a unified graph embedding across all the views while reducing the potential influence of the hubs on blurring the boundaries between node clusters in the graph, thus leading to a clear and discriminative node clustering structure for the graph. We apply MVGE-HD on two real multi-view brain network datasets (i.e., HIV and Bipolar). The experimental results demonstrate the superior performance of the proposed framework in brain network analysis for clinical investigation and application.
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- 2017
45. Cultural shifts: an examination of cervical cancer stigma across age groups in the Caribbean.
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Song, Gaole, Thomas-Purcell, Kamilah, Sealy, Diadrey-Anne, Bailey, Althea, Ragin, Camille, and Ashing, Kimlin
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HUMAN papillomavirus ,CERVICAL cancer ,AGE differences ,HUMAN papillomavirus vaccines ,SOCIAL stigma - Abstract
Background Cervical cancer-related stigma is common but understudied in the Caribbean. This study aims to describe the age difference of cervical cancer stigma and to evaluate the influence on the prevention practices among the Caribbean nonpatient population in Jamaica, Grenada, and Trinidad and Tobago. Methods A cross-sectional study involving 1209 participants was conducted using a culturally trans-created Cancer Stigma Scale for the Caribbean context and supplemented with questions on cervical cancer and human papillomavirus (HPV) and HPV vaccine knowledge and beliefs. Descriptive analyses and χ
2 tests were conducted. Results The χ2 tests showed age is statistically significantly related to participants' response to stigma items such as "community members believe cervical cancer is viewed as shameful" (P = .0001); "women with cervical cancer are treated with less respect than usual by others" (P < .0001); "women with cervical cancer are rejected by family members" (P = .0007); "women with cervical cancer are rejected by intimate partners" (P < .0001); and "intimate partners blame women for having cervical cancer" (P = .0032). Additionally, age has statistically significant associations with endorsements of negative views of cervical cancer from the community (P < .0001) and family (P < .0001) as key barriers to cervical cancer care (item: "discourage women from seeking and obtaining screening and treatment"). Notably, younger respondents (18-25 years) are more sensitized to the unfair stigma and hold more stigma. Conclusions Among Caribbeans, age influences cervical cancer stigma. Younger persons acknowledged greater stigma within families and communities. This study can guide age-informed interventions and programs to reduce stigma and improve cervical cancer screening and care seeking to reduce cervical cancer burden and disparities. [ABSTRACT FROM AUTHOR]- Published
- 2024
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46. Functionalities-Based ERP Class System Implementation and Development
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Agnieszka Stachowiak, Katarzyna Ragin-Skorecka, Hubert Wojciechowski, Agnieszka Misztal, Daria Motała, and Robert Wojtkowski
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ERP system ,ontology ,system customisation ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Background: The main objective of the study is to facilitate the development and implementation of customised ERP systems by defining an ontology based on mutually exclusive database schemas for various business needs, resulting from the type of activity and the specificity of the market and industry. The need arises from the contradicting duality of the approach, indicating the need to choose between adapting standard solutions to the requirements of specific customers and developing new systems. Methods: Data on the schemes for processes performed and information needed and produced were collected from seventeen companies. The aggregate and synthesis of the research data was carried out to identify common and area-specific solutions. The SOL concept was introduced and implemented. Results: As a result, an ontology providing a universal approach to the analysis of processes was developed in order to automatically describe business processes by assigning companies to business models. Conclusions: The effect of the work on the indicated stage of the project is the development of a knowledge base containing standard models of the ERP class system built of many components. The solution to the research task is an ontology containing the developed structures and mechanisms to allow one to select the system functionality depending on the problems identified in the enterprises.
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- 2023
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47. XLPE: Crosslinking Techniques and Recycling Process
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Chandran, Nithin, Sivadas, Anjaly, Anuja, E. V., Baby, Deepa K., Ramdas, Ragin, Thakur, Vijay Kumar, Series Editor, Thomas, Jince, editor, Thomas, Sabu, editor, and Ahmad, Zakiah, editor
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- 2021
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48. Disparities in Lung Cancer Treatment
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Harrison, Sharon, Judd, Julia, Chin, Sheray, and Ragin, Camille
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- 2022
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49. Extensive set of African ancestry-informative markers (AIMs) to study ancestry and population health
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Samantha Boudeau, Meganathan P. Ramakodi, Yan Zhou, Jeffrey C. Liu, Camille Ragin, and Rob J. Kulathinal
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African ancestry ,aims ,population structure ,1000 genomes project ,ancestry and health ,Genetics ,QH426-470 - Abstract
Introduction: Human populations are often highly structured due to differences in genetic ancestry among groups, posing difficulties in associating genes with diseases. Ancestry-informative markers (AIMs) aid in the detection of population stratification and provide an alternative approach to map population-specific alleles to disease. Here, we identify and characterize a novel set of African AIMs that separate populations of African ancestry from other global populations including those of European ancestry.Methods: Using data from the 1000 Genomes Project, highly informative SNP markers from five African subpopulations were selected based on estimates of informativeness (In) and compared against the European population to generate a final set of 46,737 African ancestry-informative markers (AIMs). The AIMs identified were validated using an independent set and functionally annotated using tools like SIFT, PolyPhen. They were also investigated for representation of commonly used SNP arrays.Results: This set of African AIMs effectively separates populations of African ancestry from other global populations and further identifies substructure between populations of African ancestry. When a subset of these AIMs was studied in an independent dataset, they differentiated people who self-identify as African American or Black from those who identify their ancestry as primarily European. Most of the AIMs were found to be in their intergenic and intronic regions with only 0.6% in the coding regions of the genome. Most of the commonly used SNP array investigated contained less than 10% of the AIMs.Discussion: While several functional annotations of both coding and non-coding African AIMs are supported by the literature and linked these high-frequency African alleles to diseases in African populations, more effort is needed to map genes to diseases in these genetically diverse subpopulations. The relative dearth of these African AIMs on current genotyping platforms (the array with the highest fraction, llumina’s Omni 5, harbors less than a quarter of AIMs), further demonstrates a greater need to better represent historically understudied populations.
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- 2023
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50. HIV disease and diabetes interact to affect brain white matter hyperintensities and cognition
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Wu, Minjie, Fatukasi, Omalara, Yang, Shaolin, Alger, Jeffery, Barker, Peter B, Hetherington, Hoby, Kim, Tae, Levine, Andrew, Martin, Eileen, Munro, Cynthia A, Parrish, Todd, Ragin, Ann, Sacktor, Ned, Seaberg, Eric, and Becker, James T
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Neurosciences ,HIV/AIDS ,Aging ,Infectious Diseases ,Clinical Research ,Diabetes ,Metabolic and endocrine ,Infection ,Good Health and Well Being ,Aged ,Aged ,80 and over ,Animals ,Brain ,Cognition Disorders ,Diabetes Complications ,HIV Infections ,Humans ,Incidence ,Magnetic Resonance Imaging ,Male ,Middle Aged ,White Matter ,brain ,cognition ,diabetes ,MRI ,white matter hyperintensities ,Neuropsychology Working Group of the Multicenter AIDS Cohort Study ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Virology - Abstract
BACKGROUND:Since the onset of combination antiretroviral therapy use, the incidence of HIV-associated dementia and of HIV encephalitis has fallen dramatically. The present study investigates the extent of white matter hyperintensities (WMHs) among individuals with HIV disease, and factors that predict their presence and their impact on psychomotor speed. METHODS:A total of 322 men participating in the Multicenter AIDS Cohort Study (185 HIV-infected, age: 57.5 ± 6.0) underwent MRI scans of the brain. T1-weighted magnetization-prepared rapid gradient-echo (MP-RAGE) and T2-weighted Fluid Attenuated Inversion Recovery (FLAIR) images were obtained and processed using an automated method for identifying and measuring WMHs. WMH burden was expressed as the log10 transformed percentage of total white matter. RESULTS:There were no significant associations between WMHs and HIV disease. However, the extent of WMHs was predicted by age more than 60 (β = 0.17), non-white race (β = 0.14), glomerular filtration rate (β = -0.11), and the presence of diabetes (β = 0.12). There were no interactions between HIV status and age (β = -0.03) or between age and diabetes (β = 0.07). However, the interaction between HIV infection and diabetes was significant (β = 0.26). The extent of WMHs was significantly associated with performance on measures of psychomotor speed (β = 0.15). CONCLUSION:In today's therapeutic environment, in HIV-infected and HIV seronegative individuals, those factors which affect the cerebrovasculature are the best predictors of WMHs. Diabetes has a specific impact among HIV-infected, but not uninfected, men, suggesting the need for more aggressive treatment even in the prediabetes state, especially as WMHs affect cognitive functions.
- Published
- 2018
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