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351. Forest structural complexity and ignition pattern influence simulated prescribed fire effects.

Author

Bonner, Sophie R., Hoffman, Chad M., Linn, Rodman R., Tinkham, Wade T., Atchley, Adam L., Sieg, Carolyn H., Varner, J. Morgan, O'Brien, Joseph J., and Hiers, J. Kevin

Subjects
PRESCRIBED burning, COMPUTATIONAL fluid dynamics, ENERGY consumption, FOREST fires, FOREST canopies, FOREST thinning
Abstract

Copyright of Fire Ecology is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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352. Quantitative assessment of morphological changes in lipid droplets and lipid–mito interactions with aging in brown adipose.

Author

Crabtree, Amber, Neikirk, Kit, Pinette, Julia A., Whiteside, Aaron, Shao, Bryanna, Bedenbaugh, Jessica, Vue, Zer, Vang, Larry, Le, Han, Demirci, Mert, Ahmad, Taseer, Owens, Trinity Celeste, Oliver, Ashton, Zeleke, Faben, Beasley, Heather K., Lopez, Edgar Garza, Scudese, Estevão, Rodman, Taylor, Kabugi, Kinuthia, and Koh, Alice

Subjects
LIPID metabolism, LIPID synthesis, PROTEIN structure, MITOCHONDRIAL proteins, ELECTRON microscopy
Abstract

The physical characteristics of brown adipose tissue (BAT) are defined by the presence of multilocular lipid droplets (LDs) within the brown adipocytes and a high abundance of iron‐containing mitochondria, which give it its characteristic color. Normal mitochondrial function is, in part, regulated by organelle‐to‐organelle contacts. For example, the contact sites that mediate mitochondria–LD interactions are thought to have various physiological roles, such as the synthesis and metabolism of lipids. Aging is associated with mitochondrial dysfunction, and previous studies show that there are changes in mitochondrial structure and the proteins that modulate organelle contact sites. However, how mitochondria–LD interactions change with aging has yet to be fully clarified. Therefore, we sought to define age‐related changes in LD morphology and mitochondria–lipid interactions in BAT. We examined the three‐dimensional morphology of mitochondria and LDs in young (3‐month) and aged (2‐year) murine BAT using serial block face‐scanning electron microscopy and the Amira program for segmentation, analysis, and quantification. Our analyses showed reductions in LD volume, area, and perimeter in aged samples in comparison to young samples. Additionally, we observed changes in LD appearance and type in aged samples compared to young samples. Notably, we found differences in mitochondrial interactions with LDs, which could implicate that these contacts may be important for energetics in aging. Upon further investigation, we also found changes in mitochondrial and cristae structure for the mitochondria interacting with LDs. Overall, these data define the nature of LD morphology and organelle–organelle contacts during aging and provide insight into LD contact site changes that interconnect biogerontology with mitochondrial function, metabolism, and bioactivity in aged BAT. [ABSTRACT FROM AUTHOR]

Published
2024
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353. SNAP for U: Food insecurity and SNAP use among college students, including institution type differences.

Author

Chrisman, Matthew, Cullers, Andrea, Rodman, Candace, Gremaud, Allene, Salgado, Gil, and Gardiner, Kelsey

Subjects
HISTORICALLY Black colleges & universities, UNIVERSITIES & colleges, FOOD security, COLLEGE students, VOCATIONAL schools
Abstract

The objective of this study was to examine food insecurity and knowledge of the Supplemental Nutrition Assistance Program (SNAP), including barriers to and facilitators for enrolling in SNAP among college students in the Midwest. An observational, cross-sectional online survey was administered during Fall 2021 to Spring 2022. Participants included 844 college students from nine higher education institutions across Missouri. Of students who participated, 44.9% reported being food insecure, 67.9% reported knowing what SNAP was, and only 34.3% knew if they were eligible for SNAP. Students at private colleges [unadjusted odds ratio (OR) and 95% confidence interval (CI) = 4.79 (2.45-9.36), p<0.001)], community colleges [OR 3.21 95% CI (2.26-4.56), p<0.001)], technical schools [OR 2.21 95% CI (1.08-4.53), p=0.031], and Historically Black Colleges and Universities (HBCUs) [OR 2.05 95% CI (1.37-3.07)., p<0.001] reported higher odds of food security compared to public institutions. College students reported lack of knowledge of SNAP in general as the main barrier for enrollment and campus assistance as the main facilitator. Food insecurity is highly prevalent in Missouri college students, where SNAP knowledge and enrollment barriers persist. Findings support a need for increased attention and resources to target college food insecurity. [ABSTRACT FROM AUTHOR]

Published
2024
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356. Evaluating crown scorch predictions from a computational fluid dynamics wildland fire simulator.

Author

Atchley, Adam L., Hoffman, Chad M., Bonner, Sophie R., Ritter, Scott M., O'Brien, Joseph, and Linn, Rodman R.

Subjects
COMPUTATIONAL fluid dynamics, BUDS, FOREST canopies, WILDFIRES, ENVIRONMENTAL management
Abstract

Copyright of Fire Ecology is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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357. On Political Theory and Large Language Models.

Author

Rodman, Emma

Subjects
*POLITICAL science, *LANGUAGE models, *CHATGPT, *CREATIVE ability, *TECHNOLOGY
Abstract

Political theory as a discipline has long been skeptical of computational methods. In this paper, I argue that it is time for theory to make a perspectival shift on these methods. Specifically, we should consider integrating recently developed generative large language models like GPT-4 as tools to support our creative work as theorists. Ultimately, I suggest that political theorists should embrace this technology as a method of supporting our capacity for creativity—but that we should do so in a way that is mindful of the content and value of theorizing, the technical constraints of the models, and the ethical questions that the technology raises. [ABSTRACT FROM AUTHOR]

Published
2024
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359. First‐in‐human study evaluating safety, pharmacokinetics, and pharmacodynamics of lorundrostat, a novel and highly selective aldosterone synthase inhibitor.

Author

Shimizu, Hidetoshi, Tortorici, Michael A., Ohta, Yoshiyasu, Ogawa, Kei, Rahman, Sheikh Mohammed Ashfaq, Fujii, Aya, Hiraga, Yuki, Kawai, Mizue, Sugimoto‐Kawabata, Kanami, van Iersel, Mattheus, van Lier, Jan Jaap, Djedjos, Stephen, Slingsby, B. T., and Rodman, David M.

Subjects
PSEUDOPOTENTIAL method, ALDOSTERONE, HYPERTENSION, PHARMACOKINETICS, HYDROCORTISONE
Abstract

Dysregulation of the mineralocorticoid hormone aldosterone is an increasingly prevalent cause of hypertension. Aldosterone synthase (CYP11B2) shares 93% homology to 11β‐hydroxylase (CYP11B1), which produces cortisol. Lorundrostat, a highly selective inhibitor of CYP11B2, is a potential safe and effective treatment for aldosterone‐dependent, uncontrolled hypertension, including treatment‐resistant hypertension. Lorundrostat showed highly selective inhibition of CYP11B2 in vitro, with 374‐fold selectivity for CYP11B2 vs. CYP11B1. A first‐in‐human study of single ascending doses ranging from 5 to 800 mg and multiple ascending doses ranging from 40 to 360 mg once daily was conducted in healthy participants. After single‐ and multiple‐dose administration, lorundrostat plasma levels peaked 1–3 h after administration with a t1/2 of 10–12 h. Plasma aldosterone decreased up to 40% with single 100‐mg to 200‐mg doses and up to 70% with single 400 to 800‐mg doses. Plasma aldosterone returned to baseline within 16 h after single 100‐mg doses and multiple once‐daily 120‐mg doses. Lorundrostat demonstrated a favorable safety profile in healthy participants. Dose‐ and exposure‐dependent inhibition of renal tubular sodium reabsorption was observed across a clinically relevant dose range with no suppression of basal or cosyntropin‐stimulated cortisol production and only a modest increase in mean serum potassium. [ABSTRACT FROM AUTHOR]

Published
2024
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360. Elder Abuse and Neglect in Long Term Care Facilities in America: A Systematic Review.

Author

Mogaka, Edwin Nyamwaya, Rodman, Calvin, Partheeban, Mohanna, Mitchell, Beatrice, and Gautam, Vivek

Subjects
*RISK assessment, *MEDICAL information storage & retrieval systems, *ABUSE of older people, *AFRICAN Americans, *ASIAN Americans, *SELF-neglect, *SEX crimes, *SEX distribution, *CINAHL database, *PARKINSON'S disease, *NURSING care facilities, *SYSTEMATIC reviews, *MEDLINE, *COGNITION disorders, *PSYCHOLOGICAL abuse, *DEMENTIA, *MINORITIES, *ONLINE information services
Abstract

Hypothesis: Elder abuse and neglect occurs as a result of lack of relevant personnel training, poor remuneration, and depression among caregivers. To test the hypothesis, overall findings analyzed confirm if they were in agreement or not. Background: Reported cases of elder abuse and neglect have been on the rise. To add on to that, not enough studies exist that can be of help in guiding policy-makers to formulate solutions and offer answers as to why this problem is on the increase. Method: These researchers conducted a review of existing literature about elder abuse in order to better understand the risk factors and causes of elder abuse and neglect. Information was mined from various databases that contained information relevant to this review. Results: Results of findings showed that reports of abuse cases were on the rise, especially among elder patients; worse still for those with a secondary chronic illness like dementia and Parkinson's disease. Women reported more cases of abuse compared to those reported by men. By demographics, abuse was found to be much higher among minority groups like African Americans and Asians Americans. Some elder patients in the studies experienced concurrent types or forms of abuse. Those with severe forms of cognitive impairments reported the highest cases of abuse and self-neglect. Conclusion: Better remuneration, continuous training to caregivers about aging and better healthcare skills are necessary to help to end this scourge. This study concludes that despite great efforts made by some institutions to end abuse and neglect, more publicity, more studies or research and more funds are required in order to build a sufficient body of knowledge that can be relied upon by the relevant policy-makers. [ABSTRACT FROM AUTHOR]

Published
2024
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361. Projected volume of primary total joint arthroplasty in the USA from 2019 to 2060.

Author

Dubin, Jeremy A., Bains, Sandeep S., Hameed, Daniel, Gottlich, Caleb, Turpin, Rodman, Nace, James, Mont, Michael, and Delanois, Ronald E.

Subjects
DATABASES, MEDICAL information storage & retrieval systems, TOTAL hip replacement, PREDICTION models, HEALTH insurance, DESCRIPTIVE statistics, ODDS ratio, TOTAL knee replacement, THEORY, CONFIDENCE intervals, FORECASTING, REGRESSION analysis
Abstract

Introduction: The global incidence of total joint arthroplasty (TJA) has consistently risen over time, and while various forecasts differ in magnitude, future projections suggest a continued increase in these procedures. Differences in future United States projections may arise from the modeling method selected, the nature of the national arthroplasty registry employed, or the representativeness of the specific hospital discharge records utilized. In addition, many models have not accounted for ambulatory surgery as well as all payer types. Therefore, to attempt to make a more accurate model, we utilized a national representative sample that included outpatient arthroplasties and all insurance types to predict the volumes of primary TJA in the USA from 2019 to 2060. Methods: A national, all-payer database was queried. All patients who underwent primary total hip arthroplasty (THA) and total knee arthroplasty (TKA) from January 1, 2010, to December 31, 2019, were identified using international classification of disease Ninth Revision (9) and Tenth Revision (10) codes and current procedure terminology codes. Absolute frequencies and incidence rates were calculated per 100,000 for both THA and TKA procedures, with 95% confidence intervals. Mean growth in absolute frequency and incidence rates were calculated for each procedure from 2010 to 2014, and 2010 to 2019, with 95% confidence intervals (CI). Results: The overall increase in THA and TKA procedures are expected to grow + 10 and + 36%, respectively, using linear regressions and + 9 and + 37%, respectively. The most positive mean growth in procedure frequency occurred from 2010 to 2014 for THA (+ 24, 95% Confidence Interval (CI): + 21, + 27) and 2010–2019 for TKA (+ 11%, 95% CI: + 9, + 14). There positive trend patterns in incidence rate growth for both procedures, with similar 2010–2019 incidence rates + 6%) for THA (+ 3%, 95% CI: + 0, + 6%) and TKA (+ 3%, 95% CI: + 1%, + 6%). Conclusion: Utilizing a nationally representative database, we demonstrated that TJA procedures would continue with an increased growth pattern to 2060, though slightly decreased from the surge from 2014 to 2019. While this finding applies to the representativeness of the population at hand, the inclusion of outpatient arthroplasty and all payer types validates an approach that has not been undertaken in previous projection studies. [ABSTRACT FROM AUTHOR]

Published
2024
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362. Profiles of diphtheria cases in children in Hasan Sadikin Hospital, West Java.

Author

Iskandar, Safira Atya, Setiabudi, Djatnika, Tarigan, Rodman, Alam, Anggraini, and Afriandi, Irvan

Subjects
CROSS-sectional method, IMMUNIZATION, PATIENTS, HOSPITAL admission & discharge, STATISTICAL sampling, HOSPITAL care, CHILDREN'S hospitals, TREATMENT effectiveness, DESCRIPTIVE statistics, RESPIRATORY obstructions, TERTIARY care, DISEASE prevalence, PEDIATRICS, DIPHTHERIA, RESEARCH methodology, MEDICAL records, ACQUISITION of data, METROPOLITAN areas, ANTHROPOMETRY, COMPARATIVE studies, DATA analysis software, EARLY diagnosis, LENGTH of stay in hospitals, DIPHTHERIA vaccines, DRUG dosage, DRUG administration, SYMPTOMS
Abstract

Background Diphtheria cases continue to be reported in Indonesia, which has long been one of the countries with the highest number of diphtheria cases worldwide. One of Indonesia's province with the highest annual diphtheria cases is West Java. Dr. Hasan Sadikin General Hospital (RSHS) is one of the tertiary referral hospitals in Bandung, West Java, that treats several diphtheria cases annually. No study focused on the clinical characteristics of diphtheria cases in children admitted to RSHS between 2017 and 2021 yet. Therefore, this study sought to analyze that. Objective To find out the profiles of children =18-year-old with diphtheria admitted in RSHS between 2017-2021. Methods This descriptive, cross-sectional study reviewed the medical records of diphtheria patients 0 to 18-year-old who were admitted to RSHS between year 2017 and 2021. Results Out of 45 subjects, 76% were males. The median of age was eight years old, ranging from 2 to 17 years. Most patients lived in urban areas and had normal anthropometry status, although some showed abnormal findings. The data showed that 44% had more than 3 days of onset until admission to the hospital, and the median length of stay was 9 days. The clinical characteristics showed that 91% of patients had pseudomembrane, also present with cough, common cold, hoarseness, stridor, and bull's neck. As many as 44% of patients did not have complete basic immunization status. Complications found were airway obstructions, myocarditis, and sepsis, and 2 deaths were reported. Conclusion Pseudomembrane was found in the majority of patients. Most patients were over five years of age, and almost half number of the patients did not have complete basic immunization status, indicating the need for improved immunization and booster coverage. [ABSTRACT FROM AUTHOR]

Published
2024
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363. Perception of skin cancer risk and sun protective practices in individuals with vitiligo: a prospective international cross-sectional survey.

Author

Gonzalez, Sarah, Mora Hurtado, Arielle Carolina, Syder, Nicole C., Rodman, Jack, and Elbuluk, Nada

Abstract

Many individuals with vitiligo are uncertain about their skin cancer risk, phototherapy risks, and recommended sun protective practices. This study examined the perceived skin cancer risk and sun protective practices among individuals living with vitiligo. A secondary objective was to understand where participants obtain this information. This was a prospective cross-sectional study. An online survey was distributed to vitiligo support group leaders globally who shared the survey with their members. Individuals over the age of 18 and with vitiligo were included. There were 209 survey respondents, the majority were between the ages 35–54 (45.5%, n = 95), female (70.8%, n = 148), White (66.0%, n = 138). Nearly half of respondents believed they were at increased risk of skin cancer because of their vitiligo (45.5%, n = 95) and nearly a quarter (22.5%, n = 47) believed that phototherapy increased their risk of skin cancer. Having vitiligo affected sun protective practices with less than a quarter (24.4%, n = 51) of respondents using sunscreen daily or often prior to their vitiligo diagnosis in comparison to the majority of respondents (60.3%, n = 126) using it after their vitiligo diagnosis. The three most common sources where patients obtained information were the internet and social media (46.4%, n = 97), vitiligo support groups (23.4%, n = 49), and dermatologists (20.6%, n = 43). Despite evidence indicating a decreased risk of skin cancer in individuals with vitiligo and supporting the safety of narrowband ultraviolet B phototherapy, many participants believed they were at an increased risk of skin cancer. Findings were sub-stratified and showed differences in sunscreen usage based on gender, skin color, and percent depigmentation. This study also found nearly half of respondents obtained information related to vitiligo from the internet and social media. The number of participants may limit the generalizability of the findings. Survey questionnaires are also subject to response bias. The findings from this study highlight demographic variations in sunscreen usage which may help guide the development of targeted interventions to improve sun protective behaviors among diverse populations with vitiligo. In addition, this study suggests certain sun protective practices and skin cancer risk perceptions may vary based on extent of depigmentation. Lastly, this study also demonstrates the internet and social media as a popular source for obtaining information, emphasizing the need for dermatologists to leverage various online communication channels to help disseminate accurate information. [ABSTRACT FROM AUTHOR]

Published
2024
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364. "My Greatness Made a Difference There": Exploring the High School Experiences of High Achieving Black Girls.

Author

Mayes, Renae D., Lowery, Kendra P., Mims, Lauren C., Rodman, Jennifer, and Dixon-Payne, Deneen

Subjects
BLACK children, HIGH schools, COUNSELOR educators, SCHOOL discipline, SCHOOLGIRLS
Abstract

Recent studies have provided insight into the schooling experiences and lives of Black girls. These studies highlight the challenges that Black girls face in the school environment including underachievement, disproportionality in school discipline, deficit ideologies, and educator and counselor bias. The current study centers the voices on high achieving Black girls in an effort to center their unique and nuanced experiences in high school. Data was collected using in-depth individual interviews and analyzed using Interpretive Phenomenological Analysis. We found that high achieving Black girls must navigate deficit thinking and negative stereotypes similar to their peers while they also pull strength and resilience from their intersecting identities. Further, high achieving Black girls were tenacious in their pursuits and found familial and teacher relationships to be paramount in their success. These findings support the importance of developing intentional and systemic supports to counter intersectional oppression to meet the needs of high achieving Black girls. [ABSTRACT FROM AUTHOR]

Published
2024
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365. Natural History of Drusenoid Pigment Epithelial Detachment Associated with Age-Related Macular Degeneration: Age-Related Eye Disease Study 2 Report No. 17

Author

Chew, Emily Y., Ferris, Frederick L., III, SanGiovanni, John Paul, Agrón, Elvira, Clemons, Traci, Lindblad, Anne, Lindblad, Robert, Shah, Nilay, Sperduto, Robert, McBee, Wendy, Gensler, Gary, Harrington, Molly, Henning, Alice, Jones, Katrina, Thotapally, Kumar, Tull, Diana, Watson, Valerie, Williams, Kayla, Gentry, Christina, Kaufman, Francine, Morrison, Chris, Saverino, Elizabeth, Schenning, Sherrie, Blodi, Barbara, Danis, Ronald P., Davis, Matthew, Domalpally, Amitha, Glander, Kathy, Guilfoil, Gregory, Hubbard, Larry D., Johnson, Kristine, Klein, Ronald, Nardi, Barbara, Neider, Michael, Robinson, Nancy, Rosensteel, Eileen, Wabers, Hugh, Zhang, Grace, Ruby, Alan J., Capone, Antonio, Jr., Dass, Bawa, Drenser, Kimberly, Garretson, Bruce R., Hassan, Tarek S., Trese, Michael, Williams, George A., Wolfe, Jeremy, Bell, Tina, Zajechowski, Mary, Bezaire, Dennis, McIver, Fran, Medina, Anthony, Pagett, Jackie, Smith, Stephanie Hatch, Swartz, Lynn, Treuter, Tom, Antoszyk, Andrew, Brown, Justin, Browning, David J., Holland, Walter, Karow, Angella, Stalford, Kelly, Price, Angela, Ennis, Sarah, Fredenberg, Sherry, Herby, Jenna, Balasubramaniam, Uma, Clark, Loraine, McClain, Donna, McOwen, Michael, Watson, Lynn, Klein, Michael, Bailey, Steven T., Hwang, Thomas J., Lauer, Andreas, Stout, J. Timothy, McCollum, Patty, Johnson, Milt, Rice, Patrick B., Kim, Ivana, Loewenstein, John, Miller, Joan, Sobrin, Lucia, Young, Lucy, Sullivan, Jacqueline, Houlihan, Patricia, Merry, Linda, Lane, Ann Marie, Bator, Ursula Lord, Evans, Claudia, Brett, Sarah, Callahan, Charleen, Grillo, Marcia, Walsh, David, Zimmerman, Kamella Lau, Fish, Gary Edd, Anand, Rajiv, Coors, Lori E., Fuller, Dwain G., Spencer, Rand, Wang, Robert C., Duignan, Karen, Arceneaux, Sally, Aguado, Hank, Hesse, Nicholas, Mackens, Michael, Swan, Brian, Wong, Wai T., Cukras, Catherine, Dalal, Monica, Jacobs-El, Naima, Meyerle, Catherine, Nicholson, Benjamin, Wiley, Henry, Shimel, Katherine Hall, Garced, Angel, Oparah, Janice, Short, Greg, Temple, Alana, Ayukawa, Babilonia, Foster, Guy, Hayes, Darryl, Koutsandreas, Dessie, Nashwinter, Roula, Rowan, John, Bono, Michael, Cunningham, Denise, Palmer, Marilois, Zetina, Alicia, Orth, David H., Rezaei, Kourous, Civantos, Joseph, Hasan, Sohail, Packo, Kirk, Figliulo, Celeste, Stanberry, Pam, Farmer, Tara, Nelson, Kiersten, Townsend-Patrick, Shannya, Rosenfeld, Philip, Chen, Royce, Doshi, Rishi, Dubovy, Sander, Kim, Brian T., Lowrance, Matthew, Moshfeghi, Andrew, Nahas, Zayna, Schienbaum, Gary, Vishak, John, Weng, Christina, Yehoshua, Zohar, Rodriguez, Belen, Rebimbas, Jose, Gleichauf, Jane, Kicak, Mike, Mena, Jason, Odem, Tim, Sferza-Camp, Elizabeth, Disgdiertt, Alicia, Oramas, Jim, Rams, Isabel, Thatcher, Stephanie, Bressler, Susan B., Bressler, Neil M., Finkelstein, Daniel, Sherman, Steven H., Solomon, Sharon, Ying, Howard S., Denbow, Rita, Phillips, Deborah, Radcliffe, Elizabeth, Belt, Judy, Cain, Dennis, Emmert, David, Herring, Mark, McDonald, Jacquelyn, Hubbard, G. Baker, Bergstrom, Chris S., Cribbs, Blaine, Hendrick, Andrew, Johnson, Brandon, Laird, Philip, Mehta, Sonia, Olsen, Timothy, Townsend, Justin, Yan, Jion, Yeh, Steven, Curtis, Linda, Brower, Judy, Yi, Hannah, Dobbs, Jannah Rutter, Jordan, Debbie, Elman, Michael J., Liss, Robert A., Starr, JoAnn, Belz, Jennifer, Putzulo, Charlene, Coffey, Teresa, Davis, Ashley, Singletary, Pamela, Andreani, Giorya Shabi, Cain, Theresa, Ketner, Daniel, Sotirakos, Peter, Chandra, Suresh, Blodi, Barbara A., Altaweel, Michael M., Gottlieb, Justin L., Ip, Michael, Nork, T. Michael, Stevens, Thomas S., Burke, Kathryn, Olson, Shelly, Dietzman, Kristine, Soderling, Barbara, Somers, Guy, Wealti, Angie, Krolnik, Denise, Peterson, John, Reed, Sandra, Friberg, Thomas, Eller, Andrew, Gallagher, Denise, Labriola, Leanne, Pokrifka, Melissa, Gedansky, Aron, Anthony, Natalie, Grzybowski, Cassandra, Matthews, Dawn, Murajda-Jumba, Sharon, Toro, Jessica, Callanan, David G., Solley, Wayne A., Williams, Patrick, Lash, Sandy, Boleman, Bob, Dock, Chris, Shami, Michel, Arrington, Brenda, Meeks, Ashaki, Margherio, Alan R., Raphaelian, Paul, Markus, Debra, Langdon, Justin, Truax, Elizabeth, Lewis, Sandy, Terry, Brad, Noffke, Amy, Oh, Kean, Sarrafizadeh, Ramin, Sneed, Scott, Hammersley, Julie, Neal, Serena, Doran, Mary, Jones, Nan, Preston, Lisa, Jessick, Heather, Marsh, Tanya Tracy, Tolentino, Michael, Berger, Adam, Hamilton, Richard, Misch, David, Moon, Suk Jin, Sutherland, Dawn, Dilts, Vera, Henderson, Sara, Medina, Esmeralda, Trueman, Donald, Holm, Laura, Strickland, Jason, Ie, Darmakusuma, Lipkowitz, Jeffrey L., Shah, Kekul B., Geraghty, Susan, Sannazzaro, Beverly, Harper, Morgan, Bayer, Krista, Lansing, Mary B., Fox, Lauren B., Lee, Rebecca, Stallman, Jay B., Jacobson, Michael, Koh, Sean, Lampert, Scott, Miller, John, Rivellese, Mark, Sharma, Atul, Stoltz, Robert A., Vanderveldt, Stephanie, Marcus, Leslie, Hendricks, Starr, Hollman, Ryan, Betanzos, Grethel, Ellorin, Leslie, Fulbright, Shelly, McCormick, Debbie, Edwards, Paul A., Hall, Julianne, Monk, Mary, Gutkowski, Melanie, Mazurek, Melina, Murphy, Janet, Gusas, Katherine, Moffett, Crystal, Burley, David, Chesney, Nicole, Kilgo, Katie, Rusinek, Brian, Stern, Bradley, Troszak, Tracy, Baker-Levingston, Rhonda, Baker, Carl W., Caldwell, Tracey, Walker, Tammy, Lambert, Lynnette F., Martin, Tracey, Palmer, Mary Jill, Williams, Tana, Novak, Michael A., Coney, Joseph, Miller, David G., Pendergast, Scott, Singerman, Lawrence, Zakov, Nicholas, Zegarra, Hernando, DuBois, Kim, Rath, Susan, Revella, Lori, Brink, Tammy, Drury, Kim, Hogue, Lisa, Ilc, Mary, Keller, Connie, McNamara, Elizabeth, Tanner, Vivian, Cunningham, Tamara, DuBois, John, Greanoff, Gregg, Nitzsche, Trina, Smith-Brewer, Sheila, Isernhagen, Ricky D., Kitchens, John W., Stone, Thomas W., Wood, William J., Holcomb, Diana, Therrien, Virginia, Buck, Michelle, Van Arsdall, Jeanne, Slade, Edward, Schneiderman, Todd E., Spinak, David J., Gaedke, Jackie, Brown, Heather Davis, Helgren, Dan, Pangelinan, Jenifer Garrison, Halperin, Lawrence, Anagnoste, Scott, Dhalla, Mandeep, Rosenberg, Krista, Taney, Barry, Thompson, W. Scott, Lopez, Jaclyn, Hamlin, Monica, Lopez, Monica, Mariano, Jamie, Quinchia, Evelyn, Aramayo, Patricia, Veksler, Rita, Lee, Michael, Dreyer, Richard, Handelman, Irvin, Ma, Colin, Peters, Mark, Hobbs, Stephen, III, Milliron, Amanda, Kopfer, Marcia, Connaughton, Michele, Hoerner, A. Christine, Logan, R. Joseph, Wohlsein, Harry J., Boyer, David, Chu, Thomas G., Dayani, Pouya, Liao, David, Novack, Roger L., Rahhal, Firas M., Roe, Richard, Tabandeh, Homayoun, Bayramyan, Janet, Gasparyan, Tammy, Hoang, Connie, Kurokouchi, Janet, Lo, Tammy Eileen, Ngo, Richard, Nguyen, Mary Ann, Peyton, Michael, Yoon, Charles, Sierra, Julio, Zamboni, Adam, Kessinger, Jeff, Protacio, Eric, Smucker, Adam, Rath, Pamela, Bergren, Robert, Doft, Bernard, Liu, Judy, Olsen, Karl, Merlotti, Lori, Ingram, Willia, Marfisi, Kellianne, Yeckel, Kimberly, Carmelo, Heather Schultz, Fec, Amanda, McBroom, Keith, Steinberg, David, Levy, Marc, Abrams, Jody, Chen, Melvin, Torres, Waldemar, Jelemensky, Peggy, Prybylski, Mark, Raphael, Tara, Appleby, Diana, Rodman, Charlotte, Sneath, Mark, Rosa, Robert H., Jr., Hoelscher, Vanessa, Castano, Adelia, Parker, Jocelyn, Hoskins, John, Anderson, Nicholas, Googe, Joseph, Jr., McMillan, Tod A., Miller, James, Jr., Perkins, Stephen, Oliver, Kristina, Beerbower, Jennifer, Gilliland, Bruce, Hunt, Cecile, Jacobus, Mike, Lince, Raul, Morris, Christopher, Oelrich, Sarah, Whetstone, Jerry, Chan, Clement K., Lin, Steven, Walther, Kim, Gonzales, Tiana, Myers, Lenise, Huff, Kenneth, Brown, David M., Chen, Eric, Benz, Matthew S., Fish, Richard H., Kim, Rosa Y., Major, James, Jr., Wong, Tien Pei, Wycoff, Charles, Cone, Cassandra, Gilaspia, Debbie Goates, Landaverde, Nubia, Smith, Robert, Zamora, Deneva, Sneed, Veronica, Vela, Melina, Kegley, Eric, Greven, Craig, Kurup, Shree, Richards, Charles, Slusher, Madison, Everhart, Cara, Fish, Joan, Clark, Mark, Miller, David, Tyler, Marshall, Jumper, J. Michael, Fu, Arthur D., Johnson, Robert N., Lujan, Brandon, McDonald, H. Richard, Rodriguez, Rosa, Ansari, Nina, Joaquin, Jeanifer, Linares, Silvia, Lopez, Lizette, Sabio, Jessica, Grout, Sean, Indermill, Chad, Urias, Yesmin, Zimmerman, Roberto, Margulies, Linda, Schmidt, Sara J., Meier, Joy L., Hadley, Sherry L., Rosenthal, William, Johnson, Barbara, Swafford, Lois, Shields, Richard, Varner, R. Scott, Rosen, Richard, Gentile, Ronald, Rivas, Melissa, Tai, Katy W., Carrasquillo-Boyd, Wanda, Masini, Robert, Stoller, Glenn, Carnevale, Ken, LaRosa, Diane M., Burger, Barbara, Conway, Tereza, Del Castillo, Carla, Diaz, Julissa, Jones, Susan, Mondoc, Nina, Balfour, Charlene, Vitha, C.H., Lutz, Jennifer, McGinley, Barbara, El Baba, Fadi, Lavorna, Ann Marie, Jones, Renee, Lewis, Jean, Tenzler, Ruth, Salvas-Mladek, Mary, Van Kesteren, Diane, McLean, W. Copley, Jr., Bridges, W. Zachery, Jr., Stone, Cameron, Ammons, Denise, Lamy, Mary, Menzel, Andrea, Raymer, Lea Doll, Campbell, Barbara, Hawkins, Lisa, Rickman, Leslie, Sherlin, Lorraine, Price, Paula, Sinyai, Albert, Kingsley, Ronald, Bradford, Reagan H., Jr., Leonard, Robert E., II, Icks, Sonny, Bergman, Vanessa, Ross, Brittany, Burris, Russ, Butt, Amanda, Richmond, Rob, Lyon, Alice, Gill, Manjot, Jampol, Lee, Mizra, Rukhsana, Rozenbajgier, Zuzanna, Chapman, Jeremy, Kaminski, Lori, Degillio, Andrea, Simjanoski, Evica, Heier, Jeffrey, Cho, Hyung, Cleary, Tina Scheufele, Goldman, Darin, Shah, Chirag, Topping, Trexler, Weber, Marissa, Wiegand, Torsten, Schindelheim, Jeremy, Bankert, Joy, Stone, Jennifer, Nowak, Alison, Chong, Sandy, Williams, Lindsay, Bennett, Steven, Donovan, Dennis, Graham, Margaret, Jones, Cullen, Fung, Anne, Bayabo, Jan-Kristine, Bosch, Razelda, Cruz, Esperanza, Emerson, Ashley, Fleming, Alycia, Barsness, Denice, Rodriguez, Jorge, Soboleva, Marina, Scott, Ingrid U., Bowie, Esther, Neely, Kimberly A., Quillen, David A., Walter, Laura, Bennett, Timothy, Strong, James, Wells, John, III, Clark, Lloyd, Johnson, David, Miller, Peggy, Taylor, Mallie, Swinford, Tiffany, Spivey, Robbin, Banach, Michael, Ho, Lawrence, Lanning, Richard, Pheasant, Thomas R., Prensky, Jay G., Truong, Steven, Teatsworth, Julia, Dietrich, Michelle, Wasilus, Ann, Miller, Ann, Rakes, Megan, Slagle, Teresa, Richards, Michelle, Schuessler, Patricia, Stover, Lacy, Beer, Paul, Falk, Naomi S., Shannon, Mary Beth, Olmeda, Jeannie, Berdeen, Don, Fisher, Joseph F., Jr., Folk, James, Russell, Stephen, Taylor, Barbara, Hinz, Connie, Walshire, Jean, Stockman, Heather, Critser, Bruce, Karakas, Stefani, Montague, Cindy, Verdick, Randy, Gupta, Omesh, Maguire, Joseph, Brady, Christopher, DeCroos, Francis Char, Dollin, Michael, Garg, Sunir, Gerstenblith, Adam, Haller, Julia, Ho, Allen C., Hsu, Jason, Kaiser, Richard, Pitcher, John, Regillo, Carl, Shah, Rajiv, Spirn, Marc, Tasman, William, Vander, James, Senderowitsch, Noga, Formoso, Michele, Markun, Michelle, George, Cedric, Centinaro, Christina, Grande, Lisa, Carey, Stefanie, Liebenbaum, Elaine, Sadda, SriniVas, Humayun, Mark, Sierra, Rachel, Corona, Elizabeth, Padilla, Margaret, Nu, Moonseok, Ramos, Sylvia, Barnett, Cullen, Currie, Glenn, Gottlieb, Cornelia, Garfinkel, Richard, Berinstein, Daniel, Colyer, Marcus, Deegan, William, III, Min-Shyue Lai, Michael, Murphy, Robert, Osman, Michael, Rivers, Michael, Sanders, Reginald, von Fricken, Manfred A., Oliver, Debbie, Kirshon, Jeanne, Snowden, Tanya Alexander, Blondo, Thomas, Cronise, Alysia, Denny, Vanessa, Mendez, Kylie, Newgen, Janine, Davis, Justin, Flory, Mike, Frantz, Robert, Murphy, Bryan, Rauch, Steve, Kim, Judy E., Bachman, Jane, Connor, Thomas B., Jr., Han, Dennis P., Stepian, Kimberly, Weinberg, David V., Wirostko, William J., Packard, Krissa, Kaczanowski, Tracy, Williams, Vesper, Barwick, Vicki, Flanders, Judy, Backes, Dennis, Beringer, Joe, Keller, Kristy, Selchert, Kathy, Bernstein, Paul, Teske, Michael, Vitale, Albert, Allman, Susan, Carlstrom, Bonnie, Wegner, Kimberley, Haroldsen, Anne, Harrison, Deborah, Fry, Cyrie, Gilman, James, Jenkins, Glen, Morris, Paula, Rauser, Michael, Fan, Joseph, Suthar, Mukesh, Santiago, Gisela, Halsey, Kara Rollins, Quesada, Christy, Kiernan, William, Knabb, Jesse, Lewis, Richard Alan, Dorenbach, Cindy, Spencer, Steven, Barnett, Dana, Morales, Joseph, Fishburne, Barron C., Gross, Jeffrey G., Magee, Michael A., Flowers, Amy, McDowell, Angie, Price, Randall, Huang, Suber, Tang, Johnny, Wilker, Shawn, Hornsby, Cherie, Ferguson, Lisa, Krogstad, Kirk, Adamovsky, Riva, Allchin, Peggy, Carlton, Kathleen, Clow, Claudia, Sholtis, Kelly, Burke, Stephanie, Harrod, Mark, Hrvatin, Stacie, Pankhurst, Geoffrey, Sabates, Nelson R., Cassell, Michael, Desai, Komal, Poulose, Abraham, Sabates, Felix, Chen, Yin, Gallimore, Gary, Konior, Yolanda, Kim, Nicola, Uwaydat, Sami, Troillett, Deborah, Aletter, Karen, Frank, Robert N., Abrams, Gary, Puklin, James, Tewari, Asheesh, Milanovic, Cheryl, Bailey, Melanie, Griffith, David, McDonald, Dena, Morehead, Kit, Sadikovic, Zlatan, Schillace, Lisa, Silvis, Elizabeth, Joondeph, Brian, Christmas, Nancy, Kimura, Alan, Liu, Mimi, Petty, Stephen, Zilis, John, Benitez, Jenny, Catlett, Cassandra Berryman, Fluegel, Eric, Mowry, Shane, Nguyen, Hoang, Reflow, David, Houghton, Odette M., Garg, Seema, Landers, Maurice B., Meredith, Travis, Barnhart, Sandy, Karmalkar, Megha, Cantrell, Debra, Esquejo-Leon, Rona Lyn, Manor, Linda, Pope, Sue, Stines, David, Stokely, Amelia, Hainsworth, Dean, Helming, Dyann, Eichelberger, Debbie, Leaton, Mary Paige, Hamm, Chuck, Chaum, Edward, Iannaccone, Alessandro, Jennings, Barbara, Murray, Tracy, Mastellone, Joe, Millay, Robert, Kim, Brian, Goddard, Theresa, Beaudette, Liza Jarrett, Changelian-Aitken, Nina, Corrada, Fernando, Dubuque, Jason, Iezzi, Raymond, Bakri, Sophie J., Pulido, Jose S., Vogen, Diane, Nielsen, Rebecca, Berg, Karin, Burrington, Jean, Howard, Shannon, Overend, Joan, Krason, Zbigniew, Lewison, Denise, Link, Thomas, Blinder, Kevin J., Engelbrecht, Nicholas E., Grand, M. Gilbert, Joseph, Daniel P., Shah, Gaurav K., Smith, Bradley, Thomas, Matthew, Weeks, Rhonda, Boyd, Lynda, Gabel, Dana, Adelman, Ron, Huang, John, Kempton, James, Parnes, Aaron, Dupont, Jennifer, Perotti, Elizabeth, Donaldson, Victoria, Fong, Kenneth, Ossorio, Pamela, Agarwal, Anita, Sternberg, Paul, Owings, Sandy, Adkins, Tony, Lok, Elaine, Munn, Garvin, Skellie, Buddy, Bhagat, Neelakshi, Roy, Monique S., Zarbin, Marco, Fay, Catherine, Lazar, Michael, Malpica, Beth, Mikheyav, Tatiana, Ulanski, Lawrence, II, Lim, Jennifer, Niec, Marcia, Johnson, Tametha, Ovando, Yesenia, Carroll, Catherine Nail, Janowicz, Mark, Schwartz, Steven, Cupp, David, Gorin, Michael, Heilweil, Gad, Hosseini, Hamid, Hubschman, Jean-Pierre, Kreiger, Allan, McCannel, Tara Young, Pan, Carolyn, Sarraf, David, Tsui, Irena, Udoetek, Joshua, Voleti, Vinad, Hitchcock, Logan, Ostrick, Rosaleen, Chun, Melissa, Kageyama, Jennie, Davila, Nilo, Lipka, Kristin, Shin, Christina, Owsley, Cynthia, Albert, Michael, Jr., Feist, Richard, Mason, John, Thomley, Martin, Johnson, Angelia, Emond, Tracy, Hamela, Joanna, Marsh, Angela, Searcey, Karen, Rookard, Kia, He, Yu-Guang, Ufret-Vincenty, Rafael L., Molai, Mike, Anderson, William, Horna, John, Letson, Alan, Cebulla, Colleen, Chang, Susie, Davidorf, Fred, Salerno, Jill, Sladoje, Laura, Stetson, Christina, Perry, Jeri, Savage, Scott, Toth, Cynthia, Jaffe, Glenn, Schuman, Stefanie, Sarin, Neeru, Crowell, Jim, Keaton, Tiffanie, Kelly, Michael, Lutman, Brian, Skelly, Marriner, Welch, Lauren, Morse, Lawrence, Hunter, Allan, Soon-Chun Park, Susanna, Wallace, Cynthia, Dhillon, Ember, Salvador, Marisa, Holderreed, Barbara, Chandra, Karishma, Kaur, Sashi, Redenbo, Ellen, Hom, Smiley, Cooney, Michael, Barbazetto, Irene, Klancnik, James M., Jr., Sorenson, John A., Yannuzzi, Lawrence, Scolaro, Maria, Agresta, Eugene, Gonzalez, Nancy, Grover, Sandeep, Chalam, K.V., Gupta, Shailesh, Lyons, Christopher, Li, Wenhua, Patel, Chirag, Carrion, Jose, Ferreyra, Henry, Rodriguez, Amberly, Molina, Iliana, Balea, Gabriel, Emory, Pam, Rico, Marlene, Siqueiros, Giorgio, Brucker, Alexander J., Dunaief, Joshua, Grunwald, Juan, Kim, Benjamin, Maguire, Albert M., VanderBeek, Brian, Drossner, Sheri, DuPont, Joan, Salvo, Rebecca, Berger, Jim, Devine, Cheryl, Nyberg, Bill, Weeney, Laurel, DiLoreto, David, Chung, Mina, Davis, Valerie, MacDowell, Peter, Gara, George O., Castillo, Daniel, Czubinski, Andrea, Keim, Melissa, Hardy, Brandi, Hollar, Rachel Grunhaus, Schueckler, Lynn, Lyon, Alice T., Weinberg, Aaron, Shiloach, Mira, Pelkofer, Nicole, Zhou, Qin, McPoland, Laura, Apte, Rajendra, Rao, P. Kumar, Pistorius, Sam, Kambarian, Jamie, Adcock, Eve, Gould, Sarah, Quinn, Melanie, Curtis, Rhonda, Frost, Amy, Meyer, Charla, Rathert, Greg, Yu, Jeannette J., Clemons, Traci E., van Asten, Freekje, and Keenan, Tiarnan D.

Published
2019
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366. Introduction

Author

Tan, Siu-Lan, primary, Rodman, Ron, additional, and Deaville, James, additional

Published
2021
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369. Topical biomaterials to prevent post-tonsillectomy hemorrhage

Author

Lumei Liu, Cole Rodman, Noah E. Worobetz, Jed Johnson, Charles Elmaraghy, and Tendy Chiang

Subjects
Post-tonsillectomy hemorrhage, Biomaterial, Topical, Surgical hemostasis, Tonsillectomy, Surgery, RD1-811
Abstract

Abstract Despite advances in surgical technique, postoperative hemorrhage remains a common cause of mortality and morbidity for patients following tonsillectomy. Application of biomaterials at the time of tonsillectomy can potentially accelerate mucosal wound healing and eliminate the risk of post-tonsillectomy hemorrhage (PTH). To understand the current state and identify possible routes for the development of the ideal biomaterials to prevent PTH, topical biomaterials for eliminating the risk of PTH were reviewed. Alternative topical biomaterials that hold the potential to reduce the risk of PTH were also summarized.

Published
2019
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370. Algebras of Almost Periodic Functions with Bohr-Fourier Spectrum in a Semigroup: Hermite Property and its Applications

Author

Rodman, L. and Spitkovsky, Ilya M.

Subjects
Mathematics - Functional Analysis, 42A75 (Primary), 46C20, 46J20, 47A68, 47B35 (Secondary)
Abstract

It is proved that the unital Banach algebra of almost periodic functions of several variables with Bohr-Fourier spectrum in a given additive semigroup is an Hermite ring. The same property holds for the Wiener algebra of functions that in addition have absolutely convergent Bohr-Fourier series. As applications of the Hermite property of these algebras, we study factorizations of Wiener--Hopf type of rectangular matrix functions and the Toeplitz corona problem in the context of almost periodic functions of several variables., Comment: 18 pages

Published
2008

376. North American tree migration paced by climate in the West, lagging in the East

Author

Shubhi Sharma, Robert Andrus, Yves Bergeron, Michal Bogdziewicz, Don C. Bragg, Dale Brockway, Natalie L. Cleavitt, Benoit Courbaud, Adrian J. Das, Michael Dietze, Timothy J. Fahey, Jerry F. Franklin, Gregory S. Gilbert, Cathryn H. Greenberg, Qinfeng Guo, Janneke Hille Ris Lambers, Ines Ibanez, Jill F. Johnstone, Christopher L. Kilner, Johannes M. H. Knops, Walter D. Koenig, Georges Kunstler, Jalene M. LaMontagne, Diana Macias, Emily Moran, Jonathan A. Myers, Robert Parmenter, Ian S. Pearse, Renata Poulton-Kamakura, Miranda D. Redmond, Chantal D. Reid, Kyle C. Rodman, C. Lane Scher, William H. Schlesinger, Michael A. Steele, Nathan L. Stephenson, Jennifer J. Swenson, Margaret Swift, Thomas T. Veblen, Amy V. Whipple, Thomas G. Whitham, Andreas P. Wion, Christopher W. Woodall, Roman Zlotin, and James S. Clark

Published
2022
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377. Characterisation of social support following incarceration among black sexual minority men and transgender women in the HPTN 061 cohort study

Author

Kenneth Mayer, Maria Khan, Christopher Hucks-Ortiz, Macregga Severe, Charles Cleland, Joy D Scheidell, Jasmyn Abrams, Typhanye V Dyer, Medha Mazumdar, Natalia Irvine, and Rodman E Turpin

Subjects
Medicine
Abstract

Objective To examine longitudinal associations between recent incarceration and subsequent social support among black sexual minority men and transgender women, and whether associations differed between those who did and did not have support prior to incarceration.Design A secondary analysis in 2020 of data from the HIV Prevention Trials Network 061, a cohort study of black sexual minority men and transgender women recruited in 2009–2010 and followed for 12 months.Setting Six US cities (Atlanta, Boston, Los Angeles, New York City, San Francisco and Washington DC).Participants Individuals ≥18 years of age who identified as black, reported being male or assigned male at birth, reported ≥1 unprotected anal intercourse event with a male partner in the past 6 months, and reported on incarceration at the 6-month follow-up visit.Exposure Having spent ≥1 night in jail/prison in the past 6 months reported at the 6-month follow-up visit.Outcome Social support measured using a six-item scale assessing frequency of emotional/informational, affectionate and tangible support (range 6–30); and dichotomous indicators of low support for each item (ie, receiving that form of support none/little of the time).Results Among participants who returned for the 6-month visit (N=1169), 14% had experienced incarceration in the past 6 months. Mean support score was 20.9; 18.9 among those with recent incarceration versus 21.2 among those without. Recent incarceration predicted lower support (adjusted β −2.40, 95% CI −3.94 to –0.85). Those recently incarcerated had increased risk of lacking emotional/informational (eg, no one to talk to adjusted risk ratio (aRR) 1.55, 95% CI 1.13 to 2.13) and affectionate (aRR 1.51, 95% CI 1.11 to 2.04) but not tangible support. Effects appeared somewhat stronger among those who had support at baseline.Conclusions Incarceration may reduce support on re-entry among black sexual minority men and transgender women, populations unequally targeted for incarceration and at risk for low support.

Published
2021
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378. Investigating Optimal Autologous Cellular Platforms for Prenatal or Perinatal Factor VIII Delivery to Treat Hemophilia A

Author

Christopher Stem, Christopher Rodman, Ritu M. Ramamurthy, Sunil George, Diane Meares, Andrew Farland, Anthony Atala, Christopher B. Doering, H. Trent Spencer, Christopher D. Porada, and Graça Almeida-Porada

Subjects
gene therapy, hemophilia A, FVIII, endothelial progenitor cell, mesenchymal stromal (stem) cell therapy, Biology (General), QH301-705.5
Abstract

Patients with the severe form of hemophilia A (HA) present with a severe phenotype, and can suffer from life-threatening, spontaneous hemorrhaging. While prophylactic FVIII infusions have revolutionized the clinical management of HA, this treatment is short-lived, expensive, and it is not available to many A patients worldwide. In the present study, we evaluated a panel of readily available cell types for their suitability as cellular vehicles to deliver long-lasting FVIII replacement following transduction with a retroviral vector encoding a B domain-deleted human F8 transgene. Given the immune hurdles that currently plague factor replacement therapy, we focused our investigation on cell types that we deemed to be most relevant to either prenatal or very early postnatal treatment and that could, ideally, be autologously derived. Our findings identify several promising candidates for use as cell-based FVIII delivery vehicles and lay the groundwork for future mechanistic studies to delineate bottlenecks to efficient production and secretion of FVIII following genetic-modification.

Published
2021
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380. On Generalized Numerical Ranges of Quadratic Operators

Author

Rodman, Leiba and Spitkovsky, Ilya M.

Subjects
Mathematics - Functional Analysis, 47A12, 45E05, 47B33, 47B35
Abstract

It is shown that the result of Tso-Wu on the elliptical shape of the numerical range of quadratic operators holds also for the essential numerical range. The latter is described quantitatively, and based on that sufficient conditions are established under which the c-numerical range also is an ellipse. Several examples are considered, including singular integral operators with the Cauchy kernel and composition operators., Comment: 14 pages

Published
2006

381. Us and Them: Archaeology and Ethnicity in the Andes

Author

Bawden, Garth, Blom, Deborah E., Bourget, Steve, Buikstra, Jane E., Heckman, Andrea M., Janusek, John Wayne, Lopez, Gioconda, Lozada, M. C., Reycraft, Richard Martin, Rodman, Amy Oakland, Stanish, Charles, Sutter, Richard C., Vaughn, Kevin J., and Williams, Sloan R.

Subjects
Andes
Abstract

This volume brings together a corpus of scholars whose work collectively represents a significant advancement in the study of prehistoric ethnicity in the Andean region. The assembled research represents an outstanding collection of theoretical and methodological approaches, and conveys recent discoveries in several subfields of prehistoric Andean anthropology, including spatial archaeology, mortuary archaeology, textile studies, ceramic analysis, and biological anthropology. Many of the authors in this volume apply novel research techniques, while others wield more established approaches in original ways. Although the research presented in this volume has occurred in the Andean region, many of the novel methods applied will be applicable to other geographic regions, and it is hoped that this research will stimulate others to pursue future innovative work in the prehistoric study of ethnic identification.

Published
2005

382. Is OCT-A Right For My Practice?

Author

Rodman, Julie

Subjects
Methods, Optometry -- Methods, Angiography -- Methods, Optical tomography -- Methods
Abstract

This new imaging device may be a part of your diagnostic toolkit in the near future. Here's why. Optical coherence tomography angiography (OCT-A) is a noninvasive, dyeless imaging modality that [...]

Published
2020

385. Progression of Geographic Atrophy in Age-related Macular Degeneration: AREDS2 Report Number 16

Author

Chew, Emily Y., Ferris, Frederick L., III, SanGiovanni, John Paul, Agrón, Elvira, Clemons, Traci, Lindblad, Anne, Lindblad, Robert, Shah, Nilay, Sperduto, Robert, McBee, Wendy, Gensler, Gary, Harrington, Molly, Henning, Alice, Jones, Katrina, Thotapally, Kumar, Tull, Diana, Watson, Valerie, Williams, Kayla, Gentry, Christina, Kaufman, Francine, Morrison, Chris, Saverino, Elizabeth, Schenning, Sherrie, Blodi, Barbara, Danis, Ronald P., Davis, Matthew, Domalpally, Amitha, Glander, Kathy, Guilfoil, Gregory, Hubbard, Larry D., Johnson, Kristine, Klein, Ronald, Nardi, Barbara, Neider, Michael, Robinson, Nancy, Rosensteel, Eileen, Wabers, Hugh, Zhang, Grace, Ruby, Alan J., Capone, Antonio, Jr., Dass, Bawa, Drenser, Kimberly, Garretson, Bruce R., Hassan, Tarek S., Trese, Michael, Williams, George A., Wolfe, Jeremy, Bell, Tina, Zajechowski, Mary, Bezaire, Dennis, McIver, Fran, Medina, Anthony, Pagett, Jackie, Smith, Stephanie Hatch, Swartz, Lynn, Treuter, Tom, Antoszyk, Andrew, Brown, Justin, Browning, David J., Holland, Walter, Karow, Angella, Stalford, Kelly, Price, Angela, Ennis, Sarah, Fredenberg, Sherry, Herby, Jenna, Balasubramaniam, Uma, Clark, Loraine, McClain, Donna, McOwen, Michael, Watson, Lynn, Klein, Michael, Bailey, Steven T., Hwang, Thomas J., Lauer, Andreas, Stout, J. Timothy, McCollum, Patty, Johnson, Milt, Rice, Patrick B., Kim, Ivana, Loewenstein, John, Miller, Joan, Sobrin, Lucia, Young, Lucy, Sullivan, Jacqueline, Houlihan, Patricia, Merry, Linda, Lane, Ann Marie, Bator, Ursula Lord, Evans, Claudia, Brett, Sarah, Callahan, Charleen, Grillo, Marcia, Walsh, David, Zimmerman, Kamella Lau, Fish, Gary Edd, Anand, Rajiv, Coors, Lori E., Fuller, Dwain G., Spencer, Rand, Wang, Robert C., Duignan, Karen, Arceneaux, Sally, Aguado, Hank, Hesse, Nicholas, Mackens, Michael, Swan, Brian, Wong, Wai T., Cukras, Catherine, Dalal, Monica, Jacobs-El, Naima, Meyerle, Catherine, Nicholson, Benjamin, Wiley, Henry, Shimel, Katherine Hall, Garced, Angel, Oparah, Janice, Short, Greg, Temple, Alana, Ayukawa, Babilonia, Foster, Guy, Hayes, Darryl, Koutsandreas, Dessie, Nashwinter, Roula, Rowan, John, Bono, Michael, Cunningham, Denise, Palmer, Marilois, Zetina, Alicia, Orth, David H., Rezaei, Kourous, Civantos, Joseph, Hasan, Sohail, Packo, Kirk, Figliulo, Celeste, Stanberry, Pam, Farmer, Tara, Nelson, Kiersten, Townsend-Patrick, Shannya, Rosenfeld, Philip, Chen, Royce, Doshi, Rishi, Dubovy, Sander, Kim, Brian T., Lowrance, Matthew, Moshfeghi, Andrew, Nahas, Zayna, Schienbaum, Gary, Vishak, John, Weng, Christina, Yehoshua, Zohar, Rodriguez, Belen, Rebimbas, Jose, Gleichauf, Jane, Kicak, Mike, Mena, Jason, Odem, Tim, Sferza-Camp, Elizabeth, Disgdiertt, Alicia, Oramas, Jim, Rams, Isabel, Thatcher, Stephanie, Bressler, Susan B., Bressler, Neil M., Finkelstein, Daniel, Sherman, Steven H., Solomon, Sharon, Ying, Howard S., Denbow, Rita, Phillips, Deborah, Radcliffe, Elizabeth, Belt, Judy, Cain, Dennis, Emmert, David, Herring, Mark, McDonald, Jacquelyn, Hubbard, G. Baker, Bergstrom, Chris S., Cribbs, Blaine, Hendrick, Andrew, Johnson, Brandon, Laird, Philip, Mehta, Sonia, Olsen, Timothy, Townsend, Justin, Yan, Jion, Yeh, Steven, Curtis, Linda, Brower, Judy, Yi, Hannah, Dobbs, Jannah Rutter, Jordan, Debbie, Elman, Michael J., Liss, Robert A., Starr, JoAnn, Belz, Jennifer, Putzulo, Charlene, Coffey, Teresa, Davis, Ashley, Singletary, Pamela, Andreani, Giorya Shabi, Cain, Theresa, Ketner, Daniel, Sotirakos, Peter, Chandra, Suresh, Blodi, Barbara A., Altaweel, Michael M., Gottlieb, Justin L., Ip, Michael, Nork, T. Michael, Stevens, Thomas S., Burke, Kathryn, Olson, Shelly, Dietzman, Kristine, Soderling, Barbara, Somers, Guy, Wealti, Angie, Krolnik, Denise, Peterson, John, Reed, Sandra, Friberg, Thomas, Eller, Andrew, Gallagher, Denise, Labriola, Leanne, Pokrifka, Melissa, Gedansky, Aron, Anthony, Natalie, Grzybowski, Cassandra, Matthews, Dawn, Murajda-Jumba, Sharon, Toro, Jessica, Callanan, David G., Solley, Wayne A., Williams, Patrick, Lash, Sandy, Boleman, Bob, Dock, Chris, Shami, Michel, Arrington, Brenda, Meeks, Ashaki, Margherio, Alan R., Raphaelian, Paul, Markus, Debra, Langdon, Justin, Truax, Elizabeth, Lewis, Sandy, Terry, Brad, Noffke, Amy, Oh, Kean, Sarrafizadeh, Ramin, Sneed, Scott, Hammersley, Julie, Neal, Serena, Doran, Mary, Jones, Nan, Preston, Lisa, Jessick, Heather, Marsh, Tanya Tracy, Tolentino, Michael, Berger, Adam, Hamilton, Richard, Misch, David, Moon, Suk Jin, Sutherland, Dawn, Dilts, Vera, Henderson, Sara, Medina, Esmeralda, Trueman, Donald, Holm, Laura, Strickland, Jason, Ie, Darmakusuma, Lipkowitz, Jeffrey L., Shah, Kekul B., Geraghty, Susan, Sannazzaro, Beverly, Harper, Morgan, Bayer, Krista, Lansing, Mary B., Fox, Lauren B., Lee, Rebecca, Stallman, Jay B., Jacobson, Michael, Koh, Sean, Lampert, Scott, Miller, John, Rivellese, Mark, Sharma, Atul, Stoltz, Robert A., Vanderveldt, Stephanie, Marcus, Leslie, Hendricks, Starr, Hollman, Ryan, Betanzos, Grethel, Ellorin, Leslie, Fulbright, Shelly, McCormick, Debbie, Edwards, Paul A., Hall, Julianne, Monk, Mary, Gutkowski, Melanie, Mazurek, Melina, Murphy, Janet, Gusas, Katherine, Moffett, Crystal, Burley, David, Chesney, Nicole, Kilgo, Katie, Rusinek, Brian, Stern, Bradley, Troszak, Tracy, Baker-Levingston, Rhonda, Baker, Carl W., Caldwell, Tracey, Walker, Tammy, Lambert, Lynnette F., Martin, Tracey, Palmer, Mary Jill, Williams, Tana, Novak, Michael A., Coney, Joseph, Miller, David G., Pendergast, Scott, Singerman, Lawrence, Zakov, Nicholas, Zegarra, Hernando, DuBois, Kim, Rath, Susan, Revella, Lori, Brink, Tammy, Drury, Kim, Hogue, Lisa, Ilc, Mary, Keller, Connie, McNamara, Elizabeth, Tanner, Vivian, Cunningham, Tamara, DuBois, John, Greanoff, Gregg, Nitzsche, Trina, Smith-Brewer, Sheila, Isernhagen, Ricky D., Kitchens, John W., Stone, Thomas W., Wood, William J., Holcomb, Diana, Therrien, Virginia, Buck, Michelle, Van Arsdall, Jeanne, Slade, Edward, Schneiderman, Todd E., Spinak, David J., Gaedke, Jackie, Brown, Heather Davis, Helgren, Dan, Pangelinan, Jenifer Garrison, Halperin, Lawrence, Anagnoste, Scott, Dhalla, Mandeep, Rosenberg, Krista, Taney, Barry, Thompson, W. Scott, Lopez, Jaclyn, Hamlin, Monica, Lopez, Monica, Mariano, Jamie, Quinchia, Evelyn, Aramayo, Patricia, Veksler, Rita, Lee, Michael, Dreyer, Richard, Handelman, Irvin, Ma, Colin, Peters, Mark, Hobbs, Stephen, III, Milliron, Amanda, Kopfer, Marcia, Connaughton, Michele, Hoerner, A. Christine, Logan, R. Joseph, Wohlsein, Harry J., Boyer, David, Chu, Thomas G., Dayani, Pouya, Liao, David, Novack, Roger L., Rahhal, Firas M., Roe, Richard, Tabandeh, Homayoun, Bayramyan, Janet, Gasparyan, Tammy, Hoang, Connie, Kurokouchi, Janet, Lo, Tammy Eileen, Ngo, Richard, Nguyen, Mary Ann, Peyton, Michael, Yoon, Charles, Sierra, Julio, Zamboni, Adam, Kessinger, Jeff, Protacio, Eric, Smucker, Adam, Rath, Pamela, Bergren, Robert, Doft, Bernard, Liu, Judy, Olsen, Karl, Merlotti, Lori, Ingram, Willia, Marfisi, Kellianne, Yeckel, Kimberly, Carmelo, Heather Schultz, Fec, Amanda, McBroom, Keith, Steinberg, David, Levy, Marc, Abrams, Jody, Chen, Melvin, Torres, Waldemar, Jelemensky, Peggy, Prybylski, Mark, Raphael, Tara, Appleby, Diana, Rodman, Charlotte, Sneath, Mark, Rosa, Robert H., Jr., Hoelscher, Vanessa, Castano, Adelia, Parker, Jocelyn, Hoskins, John, Anderson, Nicholas, Googe, Joseph, Jr., McMillan, Tod A., Miller, James, Jr., Perkins, Stephen, Oliver, Kristina, Beerbower, Jennifer, Gilliland, Bruce, Hunt, Cecile, Jacobus, Mike, Lince, Raul, Morris, Christopher, Oelrich, Sarah, Whetstone, Jerry, Chan, Clement K., Lin, Steven, Walther, Kim, Gonzales, Tiana, Myers, Lenise, Huff, Kenneth, Brown, David M., Chen, Eric, Benz, Matthew S., Fish, Richard H., Kim, Rosa Y., Major, James, Jr., Wong, Tien Pei, Wycoff, Charles, Cone, Cassandra, Gilaspia, Debbie Goates, Landaverde, Nubia, Smith, Robert, Zamora, Deneva, Sneed, Veronica, Vela, Melina, Kegley, Eric, Greven, Craig, Kurup, Shree, Richards, Charles, Slusher, Madison, Everhart, Cara, Fish, Joan, Clark, Mark, Miller, David, Tyler, Marshall, Jumper, J. Michael, Fu, Arthur D., Johnson, Robert N., Lujan, Brandon, McDonald, H. Richard, Rodriguez, Rosa, Ansari, Nina, Joaquin, Jeanifer, Linares, Silvia, Lopez, Lizette, Sabio, Jessica, Grout, Sean, Indermill, Chad, Urias, Yesmin, Zimmerman, Roberto, Margulies, Linda, Schmidt, Sara J., Meier, Joy L., Hadley, Sherry L., Rosenthal, William, Johnson, Barbara, Swafford, Lois, Shields, Richard, Varner, R. Scott, Rosen, Richard, Gentile, Ronald, Rivas, Melissa, Tai, Katy W., Carrasquillo-Boyd, Wanda, Masini, Robert, Stoller, Glenn, Carnevale, Ken, LaRosa, Diane M., Burger, Barbara, Conway, Tereza, Del Castillo, Carla, Diaz, Julissa, Jones, Susan, Mondoc, Nina, Balfour, Charlene, Vitha, C.H., Lutz, Jennifer, McGinley, Barbara, El Baba, Fadi, Lavorna, Ann Marie, Jones, Renee, Lewis, Jean, Tenzler, Ruth, Salvas-Mladek, Mary, Van Kesteren, Diane, McLean, W. Copley, Jr., Bridges, W. Zachery, Jr., Stone, Cameron, Ammons, Denise, Lamy, Mary, Menzel, Andrea, Raymer, Lea Doll, Campbell, Barbara, Hawkins, Lisa, Rickman, Leslie, Sherlin, Lorraine, Price, Paula, Sinyai, Albert, Kingsley, Ronald, Bradford, Reagan H., Jr., Leonard, Robert E., II, Icks, Sonny, Bergman, Vanessa, Ross, Brittany, Burris, Russ, Butt, Amanda, Richmond, Rob, Lyon, Alice, Gill, Manjot, Jampol, Lee, Mizra, Rukhsana, Rozenbajgier, Zuzanna, Chapman, Jeremy, Kaminski, Lori, Degillio, Andrea, Simjanoski, Evica, Heier, Jeffrey, Cho, Hyung, Cleary, Tina Scheufele, Goldman, Darin, Shah, Chirag, Topping, Trexler, Weber, Marissa, Wiegand, Torsten, Schindelheim, Jeremy, Bankert, Joy, Stone, Jennifer, Nowak, Alison, Chong, Sandy, Williams, Lindsay, Bennett, Steven, Donovan, Dennis, Graham, Margaret, Jones, Cullen, Fung, Anne, Bayabo, Jan-Kristine, Bosch, Razelda, Cruz, Esperanza, Emerson, Ashley, Fleming, Alycia, Barsness, Denice, Rodriguez, Jorge, Soboleva, Marina, Scott, Ingrid U., Bowie, Esther, Neely, Kimberly A., Quillen, David A., Walter, Laura, Bennett, Timothy, Strong, James, Wells, John, III, Clark, Lloyd, Johnson, David, Miller, Peggy, Taylor, Mallie, Swinford, Tiffany, Spivey, Robbin, Banach, Michael, Ho, Lawrence, Lanning, Richard, Pheasant, Thomas R., Prensky, Jay G., Truong, Steven, Teatsworth, Julia, Dietrich, Michelle, Wasilus, Ann, Miller, Ann, Rakes, Megan, Slagle, Teresa, Richards, Michelle, Schuessler, Patricia, Stover, Lacy, Beer, Paul, Falk, Naomi S., Shannon, Mary Beth, Olmeda, Jeannie, Berdeen, Don, Fisher, Joseph F., Jr., Folk, James, Russell, Stephen, Taylor, Barbara, Hinz, Connie, Walshire, Jean, Stockman, Heather, Critser, Bruce, Karakas, Stefani, Montague, Cindy, Verdick, Randy, Gupta, Omesh, Maguire, Joseph, Brady, Christopher, DeCroos, Francis Char, Dollin, Michael, Garg, Sunir, Gerstenblith, Adam, Haller, Julia, Ho, Allen C., Hsu, Jason, Kaiser, Richard, Pitcher, John, Regillo, Carl, Shah, Rajiv, Spirn, Marc, Tasman, William, Vander, James, Senderowitsch, Noga, Formoso, Michele, Markun, Michelle, George, Cedric, Centinaro, Christina, Grande, Lisa, Carey, Stefanie, Liebenbaum, Elaine, Sadda, SriniVas, Humayun, Mark, Sierra, Rachel, Corona, Elizabeth, Padilla, Margaret, Nu, Moonseok, Ramos, Sylvia, Barnett, Cullen, Currie, Glenn, Gottlieb, Cornelia, Garfinkel, Richard, Berinstein, Daniel, Colyer, Marcus, Deegan, William, III, Min-Shyue Lai, Michael, Murphy, Robert, Osman, Michael, Rivers, Michael, Sanders, Reginald, von Fricken, Manfred A., Oliver, Debbie, Kirshon, Jeanne, Snowden, Tanya Alexander, Blondo, Thomas, Cronise, Alysia, Denny, Vanessa, Mendez, Kylie, Newgen, Janine, Davis, Justin, Flory, Mike, Frantz, Robert, Murphy, Bryan, Rauch, Steve, Kim, Judy E., Bachman, Jane, Connor, Thomas B., Jr., Han, Dennis P., Stepian, Kimberly, Weinberg, David V., Wirostko, William J., Packard, Krissa, Kaczanowski, Tracy, Williams, Vesper, Barwick, Vicki, Flanders, Judy, Backes, Dennis, Beringer, Joe, Keller, Kristy, Selchert, Kathy, Bernstein, Paul, Teske, Michael, Vitale, Albert, Allman, Susan, Carlstrom, Bonnie, Wegner, Kimberley, Haroldsen, Anne, Harrison, Deborah, Fry, Cyrie, Gilman, James, Jenkins, Glen, Morris, Paula, Rauser, Michael, Fan, Joseph, Suthar, Mukesh, Santiago, Gisela, Halsey, Kara Rollins, Quesada, Christy, Kiernan, William, Knabb, Jesse, Lewis, Richard Alan, Dorenbach, Cindy, Spencer, Steven, Barnett, Dana, Morales, Joseph, Fishburne, Barron C., Gross, Jeffrey G., Magee, Michael A., Flowers, Amy, McDowell, Angie, Price, Randall, Huang, Suber, Tang, Johnny, Wilker, Shawn, Hornsby, Cherie, Ferguson, Lisa, Krogstad, Kirk, Adamovsky, Riva, Allchin, Peggy, Carlton, Kathleen, Clow, Claudia, Sholtis, Kelly, Burke, Stephanie, Harrod, Mark, Hrvatin, Stacie, Pankhurst, Geoffrey, Sabates, Nelson R., Cassell, Michael, Desai, Komal, Poulose, Abraham, Sabates, Felix, Chen, Yin, Gallimore, Gary, Konior, Yolanda, Kim, Nicola, Uwaydat, Sami, Troillett, Deborah, Aletter, Karen, Frank, Robert N., Abrams, Gary, Puklin, James, Tewari, Asheesh, Milanovic, Cheryl, Bailey, Melanie, Griffith, David, McDonald, Dena, Morehead, Kit, Sadikovic, Zlatan, Schillace, Lisa, Silvis, Elizabeth, Joondeph, Brian, Christmas, Nancy, Kimura, Alan, Liu, Mimi, Petty, Stephen, Zilis, John, Benitez, Jenny, Catlett, Cassandra Berryman, Fluegel, Eric, Mowry, Shane, Nguyen, Hoang, Reflow, David, Houghton, Odette M., Garg, Seema, Landers, Maurice B., Meredith, Travis, Barnhart, Sandy, Karmalkar, Megha, Cantrell, Debra, Esquejo-Leon, Rona Lyn, Manor, Linda, Pope, Sue, Stines, David, Stokely, Amelia, Hainsworth, Dean, Helming, Dyann, Eichelberger, Debbie, Leaton, Mary Paige, Hamm, Chuck, Chaum, Edward, Iannaccone, Alessandro, Jennings, Barbara, Murray, Tracy, Mastellone, Joe, Millay, Robert, Kim, Brian, Goddard, Theresa, Beaudette, Liza Jarrett, Changelian-Aitken, Nina, Corrada, Fernando, Dubuque, Jason, Iezzi, Raymond, Bakri, Sophie J., Pulido, Jose S., Vogen, Diane, Nielsen, Rebecca, Berg, Karin, Burrington, Jean, Howard, Shannon, Overend, Joan, Krason, Zbigniew, Lewison, Denise, Link, Thomas, Blinder, Kevin J., Engelbrecht, Nicholas E., Grand, M. Gilbert, Joseph, Daniel P., Shah, Gaurav K., Smith, Bradley, Thomas, Matthew, Weeks, Rhonda, Boyd, Lynda, Gabel, Dana, Adelman, Ron, Huang, John, Kempton, James, Parnes, Aaron, Dupont, Jennifer, Perotti, Elizabeth, Donaldson, Victoria, Fong, Kenneth, Ossorio, Pamela, Agarwal, Anita, Sternberg, Paul, Owings, Sandy, Adkins, Tony, Lok, Elaine, Munn, Garvin, Skellie, Buddy, Bhagat, Neelakshi, Roy, Monique S., Zarbin, Marco, Fay, Catherine, Lazar, Michael, Malpica, Beth, Mikheyav, Tatiana, Ulanski, Lawrence, II, Lim, Jennifer, Niec, Marcia, Johnson, Tametha, Ovando, Yesenia, Carroll, Catherine Nail, Janowicz, Mark, Schwartz, Steven, Cupp, David, Gorin, Michael, Heilweil, Gad, Hosseini, Hamid, Hubschman, Jean-Pierre, Kreiger, Allan, McCannel, Tara Young, Pan, Carolyn, Sarraf, David, Tsui, Irena, Udoetek, Joshua, Voleti, Vinad, Hitchcock, Logan, Ostrick, Rosaleen, Chun, Melissa, Kageyama, Jennie, Davila, Nilo, Lipka, Kristin, Shin, Christina, Owsley, Cynthia, Albert, Michael, Jr., Feist, Richard, Mason, John, Thomley, Martin, Johnson, Angelia, Emond, Tracy, Hamela, Joanna, Marsh, Angela, Searcey, Karen, Rookard, Kia, He, Yu-Guang, Ufret-Vincenty, Rafael L., Molai, Mike, Anderson, William, Horna, John, Letson, Alan, Cebulla, Colleen, Chang, Susie, Davidorf, Fred, Salerno, Jill, Sladoje, Laura, Stetson, Christina, Perry, Jeri, Savage, Scott, Toth, Cynthia, Jaffe, Glenn, Schuman, Stefanie, Sarin, Neeru, Crowell, Jim, Keaton, Tiffanie, Kelly, Michael, Lutman, Brian, Skelly, Marriner, Welch, Lauren, Morse, Lawrence, Hunter, Allan, Soon-Chun Park, Susanna, Wallace, Cynthia, Dhillon, Ember, Salvador, Marisa, Holderreed, Barbara, Chandra, Karishma, Kaur, Sashi, Redenbo, Ellen, Hom, Smiley, Cooney, Michael, Barbazetto, Irene, Klancnik, James M., Jr., Sorenson, John A., Yannuzzi, Lawrence, Scolaro, Maria, Agresta, Eugene, Gonzalez, Nancy, Grover, Sandeep, Chalam, K.V., Gupta, Shailesh, Lyons, Christopher, Li, Wenhua, Patel, Chirag, Carrion, Jose, Ferreyra, Henry, Rodriguez, Amberly, Molina, Iliana, Balea, Gabriel, Emory, Pam, Rico, Marlene, Siqueiros, Giorgio, Brucker, Alexander J., Dunaief, Joshua, Grunwald, Juan, Kim, Benjamin, Maguire, Albert M., VanderBeek, Brian, Drossner, Sheri, DuPont, Joan, Salvo, Rebecca, Berger, Jim, Devine, Cheryl, Nyberg, Bill, Weeney, Laurel, DiLoreto, David, Chung, Mina, Davis, Valerie, MacDowell, Peter, Gara, George O., Castillo, Daniel, Czubinski, Andrea, Keim, Melissa, Hardy, Brandi, Hollar, Rachel Grunhaus, Schueckler, Lynn, Lyon, Alice T., Weinberg, Aaron, Shiloach, Mira, Pelkofer, Nicole, Zhou, Qin, McPoland, Laura, Apte, Rajendra, Rao, P. Kumar, Pistorius, Sam, Kambarian, Jamie, Adcock, Eve, Gould, Sarah, Quinn, Melanie, Curtis, Rhonda, Frost, Amy, Meyer, Charla, Rathert, Greg, Keenan, Tiarnan D., Clemons, Traci E., van Asten, Freekje, Danis, Ronald G., Rosenfeld, Philip J., Klein, Michael L., Ratnapriya, Rinki, and Swaroop, Anand

Published
2018
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387. A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade

Author

Jerby-Arnon, Livnat, Shah, Parin, Cuoco, Michael S., Rodman, Christopher, Su, Mei-Ju, Melms, Johannes C., Leeson, Rachel, Kanodia, Abhay, Mei, Shaolin, Lin, Jia-Ren, Wang, Shu, Rabasha, Bokang, Liu, David, Zhang, Gao, Margolais, Claire, Ashenberg, Orr, Ott, Patrick A., Buchbinder, Elizabeth I., Haq, Rizwan, Hodi, F. Stephen, Boland, Genevieve M., Sullivan, Ryan J., Frederick, Dennie T., Miao, Benchun, Moll, Tabea, Flaherty, Keith T., Herlyn, Meenhard, Jenkins, Russell W., Thummalapalli, Rohit, Kowalczyk, Monika S., Cañadas, Israel, Schilling, Bastian, Cartwright, Adam N.R., Luoma, Adrienne M., Malu, Shruti, Hwu, Patrick, Bernatchez, Chantale, Forget, Marie-Andrée, Barbie, David A., Shalek, Alex K., Tirosh, Itay, Sorger, Peter K., Wucherpfennig, Kai, Van Allen, Eliezer M., Schadendorf, Dirk, Johnson, Bruce E., Rotem, Asaf, Rozenblatt-Rosen, Orit, Garraway, Levi A., Yoon, Charles H., Izar, Benjamin, and Regev, Aviv

Published
2018
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389. Competency Through Immersion: A Fresh Perspective on Cultural Competence

Author

Rodman, Rebecca and Moyer, Aislynn

Subjects
Curricula, Evaluation, Social aspects, Services, Immersion -- Social aspects, Nursing education -- Curricula, Cultural competence -- Evaluation, Patient care -- Services, Medical care quality -- Evaluation, Patients -- Care and treatment, Medical care -- Quality management
Abstract

Cultural competence is a challenging topic to address in a way that makes knowledge transferable to practice. Using an immersion model founded on cultural humility, a project to create and [...]

Published
2022

392. On Matrix Polynomials with Real Roots

Author

Gurvits, Leonid and Rodman, Leiba

Subjects
Mathematics - Optimization and Control
Abstract

It is proved that the roots of combinations of matrix polynomials with real roots can be recast as eigenvalues of combinations of real symmetric matrices, under certain hypotheses. The proof is based on recent solution of the Lax conjecture. Several applications and corollaries, in particular concerning hyperbolic matrix polynomials, are presented., Comment: 9 pages, submitted

Published
2004

394. Stand dynamics and topographic setting influence changes in live tree biomass over a 34-year permanent plot record in a subalpine forest in the Colorado Front Range

Author

Chai, Rachel K., Andrus, Robert A., Rodman, Kyle, Harvey, Brian J., and Veblen, Thomas T.

Subjects
Mortality -- Colorado, Earth sciences
Abstract

Climate-induced increases in tree mortality are reported for many forests worldwide. Understanding the potential effects on carbon pools requires long-term monitoring of changes in forest biomass. We measured aboveground biomass (AGB) of living trees over a 34-year period (1982-2016) in permanent plots with varying stand ages, species compositions, and topographic settings in a subalpine forest in the Colorado Front Range. Stand-level and species-level AGB varied spatially and temporally in relation to stand age, successional processes, and site moisture classification. Young (ca. 122 years) postfire stands composed of lodgepole pine (Pinus contorta var. latifolia Engelm. ex S. Watson) had lower mean AGB than older (>250 years) mixed-species stands. Mesic stands had higher AGB than xeric or hydric stands of similar age. At the level of individual species, significant shifts in AGB among species were primarily explained by successional replacement of shade-intolerant pines by shade-tolerant Engelmann spruce (Picea engelmannii Parry ex Engelm.) and subalpine fir (Abies lasiocarpa (Hook.) Nutt.). The permanent plot network recorded significant shifts in species dominance and tree densities between 1982 and 2016, reflecting successional patterns developing over several centuries and the effects of recent localized windthrow, insects, and pathogens. Despite increases in tree mortality, there was a general pattern of increasing AGB across the forest. Key words: forest biomass, subalpine forest, permanent plots, forest dynamics, Colorado Front Range. On rapporte une augmentation de la mortalite des arbres en lien avec le climat dans plusieurs forets un peu partout dans le monde. Un suivi a long terme des changements dans la biomasse forestiere est necessaire pour comprendre les effets potentiels des reservoirs de carbone. Nous avons mesure la biomasse aerienne (BA) des arbres vivants pendant une periode de 34 ans (1982-2016) dans des placettes d'echantillonnage permanent representatives d'une variete d'ages, de compositions en especes et de configurations topographiques des peuplements forestiers dans une foret subalpine situee dans le Front Range du Colorado. La BA a l'echelle du peuplement et de l'espece variait dans l'espace et dans le temps en relation avec l'age du peuplement, les processus successionnels et la classification des stations basee sur l'humidite du sol. Les jeunes (~122 ans) peuplements issus de feux et composes de pin tordu latifolie (Pinus contorta var. latifolia Engelm. ex S. Watson) avaient une BA plus faible que les peuplements mixtes plus vieux (>250 ans). Les peuplements etablis sur des stations mesiques avaient une plus grande BA que les peuplements du meme age etablis sur des stations xeriques ou hydriques. A l'echelle de l'espece, d'importantes variations interspecifiques de la BA s'expliquaient principalement par le remplacement successionnel des pins intolerants a l'ombre par l'epicea d'Engelmann (Picea engelmannii Parry ex Engelm.) et le sapin subalpin (Abies lasiocarpa (Hook.) Nutt.), des essences tolerantes a l'ombre. Le reseau de placettes d'echantillonnage permanent a connu des variations importantes dans la dominance des especes et la densite des arbres de 1982 a 2016. Ces variations refletent des patrons successionnels evoluant sur plusieurs siecles ainsi que les effets recents et localises des chablis, des insectes et des pathogenes. Malgre l'augmentation de la mortalite des arbres, la tendance generale allait dans le sens d'un accroissement de la BA a travers la foret. [Traduit par la Redaction] Mots-cles : biomasse forestiere, foret subalpine, placettes d'echantillonnage permanent, dynamique forestiere, Front Range du Colorado., Introduction Recent climate-induced increases in tree mortality have been documented in forests worldwide and are likely to profoundly affect aboveground forest biomass and, therefore, carbon storage (van Mantgem et al. [...]

Published
2019
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396. SRRT

Author

Rodman, Kyle, primary, Fornwalt, Paula, additional, Chapman, Teresa, additional, Coop, Jonathan, additional, Edwards, Gloria, additional, Stevens, Jens, additional, and Veblen, Thomas, additional

Published
2022
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397. Functions with Pick matrices having bounded number of negative eigenvalues

Author

Bolotnikov, V., Kheifets, A., and Rodman, L.

Subjects
Mathematics - Complex Variables, 30E99, 15A63
Abstract

A class is studied of complex valued functions defined on the unit disk (with a possible exception of a discrete set) with the property that all their Pick matrices have not more than a prescribed number of negative eigenvalues. Functions in this class, known to appear as pseudomultipliers of the Hardy space, are characterized in several other ways. It turns out that a typical function in the class is meromorphic with a possible modification at a finite number of points, and total number of poles and of points of modification does not exceed the prescribed number of negative eigenvalues. Bounds are given for the number of points that generate Pick matrices that are needed to achieve the requisite number of negative eigenvalues. A result analogous to Hindmarsh's theorem is proved for functions in the class.

Published
2002

398. Call Number Adjustment: The Effects on Browsability if No Adjustment Is Made.

Author

Rodman, Ruey L.

Abstract

In these times of tight budgets, libraries are seeking ways to cut costs, and one area being examined is book processing. This study assesses the impact on the organization of a library collection if the call number is not changed to fit into the shelf list sequence. The research questions examined are: "Is it necessary to adjust the book number to maintain alphabetic order of items within a class and, if not, how does this affect the call number display in an OPAC (Online Public Access Catalog)?" Data were collected from books cataloged at a large, academic, research library that uses the Library of Congress Classification scheme. Three basic steps were used to analyze the sample: (1) a description of the type of copy used in book processing; (2) call number analysis to assess how many call numbers were changed; and (3) of those changed call numbers, how many would have been one, two, or three or more screens away if not changed. Results indicate that for this library's collection, 0.16% of total titles cataloged without call number review may not be easily found in the OPAC. The study shows that approximately 78% of the copy cataloged items fit into this library's collection without needing any call number adjustment. It showed that 21.9% of processed items required a call number adjustment but that for 83.5% of these titles the call number adjustment was so slight that the unchanged call number was on the same screen or the next screen in the OPAC display. Twelve tables present data and results. (Contains 26 references.) (Author/AEF)

Published
1996

400. A Critical Link in School-to-Work: Teaching Employment Skills. VICA 177--Employment Skills.

Author

Bell, Carol and Rodman, Joe

Abstract

This paper describes how the Albuquerque Technical-Vocational Institute's Trades and Services Occupations Department developed and integrated into the curriculum a course on employment skills to help their graduates to secure and retain employment. The project included building consensus among the staff and department heads that the course was needed, developing a curriculum, and assigning teachers from many curriculum areas. This report includes the following course materials: a course outline, a job portfolio, a list of job skills, an ethics quiz, a list of employer expectations, and a list of interviewing questions. (KC)

Published
1995

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