660 results on '"Chen, Lily"'
Search Results
2. FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
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Joseph, Sebastian Antony, Chen, Lily, Trienes, Jan, Göke, Hannah Louisa, Coers, Monika, Xu, Wei, Wallace, Byron C, and Li, Junyi Jessy
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Computer Science - Computation and Language - Abstract
Plain language summarization with LLMs can be useful for improving textual accessibility of technical content. But how factual are these summaries in a high-stakes domain like medicine? This paper presents FactPICO, a factuality benchmark for plain language summarization of medical texts describing randomized controlled trials (RCTs), which are the basis of evidence-based medicine and can directly inform patient treatment. FactPICO consists of 345 plain language summaries of RCT abstracts generated from three LLMs (i.e., GPT-4, Llama-2, and Alpaca), with fine-grained evaluation and natural language rationales from experts. We assess the factuality of critical elements of RCTs in those summaries: Populations, Interventions, Comparators, Outcomes (PICO), as well as the reported findings concerning these. We also evaluate the correctness of the extra information (e.g., explanations) added by LLMs. Using FactPICO, we benchmark a range of existing factuality metrics, including the newly devised ones based on LLMs. We find that plain language summarization of medical evidence is still challenging, especially when balancing between simplicity and factuality, and that existing metrics correlate poorly with expert judgments on the instance level., Comment: Preprint has been updated to match the final revision for ACL 2024
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- 2024
3. Report on post-quantum cryptography
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Chen, Lily
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Public key cryptography. ,Quantum computing. - Abstract
Abstract: In recent years, there has been a substantial amount of research on quantum computers machines that exploit quantum mechanical phenomena to solve mathematical problems that are difficult or intractable for conventional computers. If large-scale quantum computers are ever built, they will be able to break many of the public-key cryptosystems currently in use. This would seriously compromise the confidentiality and integrity of digital communications on the Internet and elsewhere. The goal of post-quantum cryptography (also called quantum-resistant cryptography) is to develop cryptographic systems that are secure against both quantum and classical computers, and can interoperate with existing communications protocols and networks. This Internal Report shares the National Institute of Standards and Technology (NIST) s current understanding about the status of quantum computing and post-quantum cryptography, and outlines NIST s initial plan to move forward in this space. The report also recognizes the challenge of moving to new cryptographic infrastructures and therefore emphasizes the need for agencies to focus on crypto agility.
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- 2016
4. Electrochemical Lipolysis Induces Adipocyte Death and Fat Necrosis: In Vivo Pilot Study in Pigs
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Pham, Tiffany T, Heidari, Andrew E, Hong, Ellen M, Steward, Earl, Qu, Yueqiao, Chen, Lily Y, Dunn, Brandyn S, Seo, Soo Hong, Syed, Adeela, Dilley, Katelyn, Lee, Lauren, Hutchison, Dana M, Hansen, Kyle D, Patel, Urja, Kim, Sehwan, Hill, Michael G, and Wong, Brian JF
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Biomedical and Clinical Sciences ,Clinical Sciences ,Dentistry ,Female ,Animals ,Swine ,Lipolysis ,Pilot Projects ,Fat Necrosis ,Adipocytes ,Boron Compounds ,Surgery ,Clinical sciences - Abstract
BackgroundCurrent minimally invasive fat reduction modalities use equipment that can cost thousands of U.S. dollars. Electrochemical lipolysis (ECLL), using low-cost battery and electrodes (approximately $10), creates acid/base within fat (width, approximately 3 mm), damaging adipocytes. Longitudinal effects of ECLL have not been studied. In this pilot study, the authors hypothesize that in vivo ECLL induces fat necrosis, decreases adipocyte number/viability, and forms lipid droplets.MethodsTwo female Yorkshire pigs (50 to 60 kg) received ECLL. In pig 1, 10 sites received ECLL, and 10 sites were untreated. In pig 2, 12 sites received ECLL and 12 sites were untreated. For ECLL, two electrodes were inserted into dorsal subcutaneous fat and direct current was applied for 5 minutes. Adverse effects of excessive pain, bleeding, infection, and agitation were monitored. Histology, live-dead (calcein, Hoechst, ethidium homodimer-1), and morphology (Bodipy and Hoechst) assays were performed on day 0 and postprocedure days 1, 2, 7, 14 (pig 1 and pig 2), and 28 (pig 2). Average particle area, fluorescence signal areas, and adipocytes and lipid droplet numbers were compared.ResultsNo adverse effects occurred. Live-dead assays showed adipocyte death on the anode on days 0 to 7 and the cathode on days 1 to 2 (not significant). Bodipy showed significant adipocyte loss at all sites ( P < 0.001) and lipid droplet formation at the cathode site on day 2 ( P = 0.0046). Histology revealed fat necrosis with significant increases in average particle area at the anode and cathode sites by day 14 (+277.3% change compared with untreated, P < 0.0001; +143.4%, P < 0.0001) and day 28 (+498.6%, P < 0.0001; +354.5%, P < 0.0001).ConclusionsIn vivo ECLL induces fat necrosis in pigs. Further studies are needed to evaluate volumetric fat reduction.Clinical relevance statementIn vivo ECLL induces adipocyte death and fat necrosis. ECLL has the potential to be utilized in body fat contouring.
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- 2024
5. Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies
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Mason, James Paul, Werth, Alexandra, West, Colin G., Youngblood, Allison A., Woodraska, Donald L., Peck, Courtney, Lacjak, Kevin, Frick, Florian G., Gabir, Moutamen, Alsinan, Reema A., Jacobsen, Thomas, Alrubaie, Mohammad, Chizmar, Kayla M., Lau, Benjamin P., Dominguez, Lizbeth Montoya, Price, David, Butler, Dylan R., Biron, Connor J., Feoktistov, Nikita, Dewey, Kai, Loomis, N. E., Bodzianowski, Michal, Kuybus, Connor, Dietrick, Henry, Wolfe, Aubrey M., Guerrero, Matt, Vinson, Jessica, Starbuck, Peter, Litton, Shelby D, Beck, M. G., Fisch, Jean-Paul, West, Ayana, Muniz, Alexis A., Chavez, Luis, Upthegrove, Zachary T., Runyon, Brenton M., Salazar, J., Kritzberg, Jake E., Murrel, Tyler, Ho, Ella, LaFemina, Quintin Y., Elbashir, Sara I., Chang, Ethan C., Hudson, Zachary A., Nussbaum, Rosemary O., Kennedy, Kellen, Kim, Kevin, Arango, Camila Villamil, Albakr, Mohammed A., Rotter, Michael, Garscadden, A. J., Salcido-Alcontar JR, Antonio, Pearl, Harrison M., Stepaniak, Tyler, Marquez, Josie A., Marsh, Lauren, Andringa, Jesse C, Osogwin, Austin, Shields, Amanda M., Brookins, Sarah, Hach, Grace K., Clausi, Alexis R., Millican, Emily B., Jaimes, Alan A, Graham, Alaina S., Burritt, John J., Perez, J. S., Ramirez, Nathaniel, Suri, Rohan, Myer, Michael S., Kresek, Zoe M., Goldsberry, C. A., Payne, Genevieve K., Jourabchi, Tara, Hu, J., Lucca, Jeffrey, Feng, Zitian, Gilpatrick, Connor B., Khan, Ibraheem A., Warble, Keenan, Sweeney, Joshua D., Dorricott, Philip, Meyer, Ethan, Kothamdi, Yash S., Sohail, Arman S., Grell, Kristyn, Floyd, Aidan, Bard, Titus, Mathieson, Randi M., Reed, Joseph, Cisneros, Alexis, Payne, Matthew P., Jarriel, J. R., Mora, Jacqueline Rodriguez, Sundell, M. E., Patel, Kajal, Alesmail, Mohammad, Alnasrallah, Yousef A, Abdullah, Jumana T., Molina-Saenz, Luis, Tayman, K. E., Brown, Gabriel T., Kerr-Layton, Liana, Berriman-Rozen, Zachary D., Hiatt, Quinn, Kalra, Etash, Ong, Jason, Vadayar, Shreenija, Shannahan, Callie D., Benke, Evan, zhang, Jinhua, Geisman, Jane, Martyr, Cara, Ameijenda, Federico, Akruwala, Ushmi H., Nehring, Molly, Kissner, Natalie, Rule, Ian C., Learned, Tyler, Smith, Alexandra N., Mazzotta, Liam, Rounsefell, Tyndall, Eyeson, Elizabeth A., Shelby, Arlee K., Moll, Tyler S, Menke, Riley, Shahba, Hannan, House Jr., Tony A., Clark, David B., Burns, Annemarie C., de La Beaujardiere, Tristan, Trautwein, Emily D., Plantz, Will, Reeves, Justin, Faber, Ian, Buxton, B. W., Highhouse, Nigel, Landrey, Kalin, Hansen, Connor M, Chen, Kevin, Hales, Ryder Buchanan, Borgerding, Luke R., Guo, Mutian, Crow, Christian J., Whittall, Lloyd C., Simmons, Conor, Folarin, Adeduni, Parkinson, Evan J., Rahn, Anna L., Blevins, Olivia, Morelock, Annalise M., Kelly, Nicholas, Parker, Nathan L., Smith, Kelly, Plzak, Audrey E., Saeb, David, Hares, Cameron T., Parker, Sasha R., McCoy, Andrew, Pham, Alexander V., Lauzon, Megan, Kennedy, Cayla J., Reyna, Andrea B., Acosta, Daniela M. Meza, Cool, Destiny J., Steinbarth, Sheen L., Mendoza-Anselmi, Patricia, Plutt, Kaitlyn E., Kipp, Isabel M, Rakhmonova, M., Brown, Cameron L., Van Anne, Gabreece, Moss, Alexander P., Golden, Olivia, Kirkpatrick, Hunter B., Colleran, Jake R., Sullivan, Brandon J, Tran, Kevin, Carpender, Michael Andrew, Mundy, Aria T., Koenig, Greta, Oudakker, Jessica, Engelhardt, Rasce, Ales, Nolan, Wexler, Ethan Benjamin, Beato, Quinn I, Chen, Lily, Cochran, Brooke, Hill, Paula, Hamilton, Sean R., Hashiro, Kyle, Khan, Usman, Martinez, Alexa M., Brockman, Jennifer L., Mallory, Macguire, Reed, Charlie, Terrile, Richard, Singh, Savi, Watson, James Adam, Creany, Joshua B., Price, Nicholas K., Miften, Aya M., Tran, Bryn, Kamenetskiy, Margaret, Martinez, Jose R., Opp, Elena N., Huang, Jianyang, Fails, Avery M., Belei, Brennan J., Slocum, Ryan, Astalos, Justin, East, Andrew, Nguyen, Lena P., Pherigo, Callie C, East, Andrew N., Li, David Y., Nelson, Maya LI, Taylor, Nicole, Odbayar, Anand, Rives, Anna Linnea, Mathur, Kabir P., Billingsley, Jacob, Polikoff, Hyden, Driscoll, Michael, Wilson, Orion K., Lahmers, Kyle, Toon, Nathaniel J., Lippincott, Sam, Musgrave, Andrew J., Gregory, Alannah H., Pitsuean-Meier, Sedique, Jesse, Trevor, Smith, Corey, Miles, Ethan J., Kainz, Sabrina J. H. T., Ji, Soo Yeun, Nguyen, Lena, Aryan, Maryam, Dinser, Alexis M., Shortman, Jadon, Bastias, Catalina S, Umbricht, Thomas D, Cage, Breonna, Randolph, Parker, Pollard, Matthew, Simone, Dylan M., Aramians, Andrew, Brecl, Ariana E., Robert, Amanda M., Zenner, Thomas, Saldi, Maxwell, Morales, Gavin, Mendez, Citlali, Syed, Konner, Vogel, Connor Maklain, Cone, Rebecca A., Berhanu, Naomi, Carpenter, Emily, Leoni, Cecilia, Bryan, Samuel, Ramachandra, Nidhi, Shaw, Timothy, Lee, E. C., Monyek, Eli, Wegner, Aidan B., Sharma, Shajesh, Lister, Barrett, White, Jamison R., Willard, John S., Sulaiman, S. A, Blandon, Guillermo, Narayan, Anoothi, Ruger, Ryan, Kelley, Morgan A., Moreno, Angel J., Balcer, Leo M, Ward-Chene, N. R. D., Shelby, Emma, Reagan, Brian D., Marsh, Toni, Sarkar, Sucheta, Kelley, Michael P., Fell, Kevin, Balaji, Sahana, Hildebrand, Annalise K., Shoha, Dominick, Nandu, Kshmya, Tucker, Julia, Cancio, Alejandro R., Wang, Jiawei, Rapaport, Sarah Grace, Maravi, Aimee S., Mayer, Victoria A., Miller, Andrew, Bence, Caden, Koke, Emily, Fauntleroy, John T, Doermer, Timothy, Al-Ghazwi, Adel, Morgan, Remy, Alahmed, Mohammed S., Mathavan, Adam Izz Khan Mohd Reduan, Silvester, H. K., Weiner, Amanda M., Liu, Nianzi, Iovan, Taro, Jensen, Alexander V., AlHarbi, Yazeed A., Jiang, Yufan, Zhang, Jiaqi, Jones, Olivia M., Huang, Chenqi, Reh, Eileen N., Alhamli, Dania, Pettine, Joshua, Zhou, Chongrui, Kriegman, Dylan, Yang, Jianing, Ash, Kevin, Savage, Carl, Kaiser, Emily, Augenstein, Dakota N., Padilla, Jacqueline, Stark, Ethan K., Hansen, Joshua A., Kokes, Thomas, Huynh, Leslie, Sanchez-Sanchez, Gustavo, Jeseritz, Luke A., Carillion, Emma L., Vepa, Aditya V., Khanal, Sapriya, Behr, Braden, Martin, Logan S., McMullan, Jesse J., Zhao, Tianwei, Williams, Abigail K., Alqabani, Emeen, Prinster, Gale H., Horne, Linda, Ruggles-Delgado, Kendall, Otto, Grant, Gomez, Angel R., Nguyen, Leonardo, Brumley, Preston J., Venegas, Nancy Ortiz, Varela, Ilian, Brownlow, Jordi, Cruz, Avril, Leiker, Linzhi, Batra, Jasleen, Hutabarat, Abigail P., Nunes-Valdes, Dario, Jameson, Connor, Naqi, Abdulaziz, Adams, Dante Q., Biediger, Blaine B., Borelli, William T, Cisne, Nicholas A., Collins, Nathaniel A., Curnow, Tyler L., Gopalakrishnan, Sean, Griffin, Nicholas F., Herrera, Emanuel, McGarvey, Meaghan V., Mellett, Sarah, Overchuk, Igor, Shaver, Nathan, Stratmeyer, Cooper N., Vess, Marcus T., Juels, Parker, Alyami, Saleh A., Gale, Skylar, Wallace, Steven P., Hunter, Samuel C, Lonergan, Mia C., Stewart, Trey, Maksimuk, Tiffany E., Lam, Antonia, Tressler, Judah, Napoletano, Elena R., Miller, Joshua B., Roy, Marc G., Chanders, Jasey, Fischer, Emmalee, Croteau, A. J., Kuiper, Nicolas A., Hoffman, Alex, DeBarros, Elyse, Curry, Riley T., Brzostowicz, A., Courtney, Jonas, Zhao, Tiannie, Szabo, Emi, Ghaith, Bandar Abu, Slyne, Colin, Beck, Lily, Quinonez, Oliver, Collins, Sarah, Madonna, Claire A., Morency, Cora, Palizzi, Mallory, Herwig, Tim, Beauprez, Jacob N., Ghiassi, Dorsa, Doran, Caroline R., Yang, Zhanchao, Padgette, Hannah M., Dicken, Cyrus A., Austin, Bryce W., Phalen, Ethan J., Xiao, Catherine, Palos, Adler, Gerhardstein, Phillip, Altenbern, Ava L., Orbidan, Dan, Dorr, Jackson A., Rivas, Guillermo A., Ewing, Calvin A, Giebner, B. C., McEntee, Kelleen, Kite, Emily R., Crocker, K. A., Haley, Mark S., Lezak, Adrienne R., McQuaid, Ella, Jeong, Jacob, Albaum, Jonathan, Hrudka, E. M., Mulcahy, Owen T., Tanguma, Nolan C., Oishi-Holder, Sean, White, Zachary, Coe, Ryan W., Boyer, Christine, Chapman, Mitchell G., Fortino, Elise, Salgado, Jose A., Hellweg, Tim, Martinez, Hazelia K., Mitchell, Alexander J., Schubert, Stephanie H., Schumacher, Grace K, Tesdahl, Corey D, Uphoff, C. H., Vassilyev, Alexandr, Witkoff, Briahn, Wolle, Jackson R., Dice, Kenzie A., Behrer, Timothy A., Bowen, Troy, Campbell, Andrew J, Clarkson, Peter C, Duong, Tien Q., Hawat, Elijah, Lopez, Christian, Olson, Nathaniel P., Osborn, Matthew, Peou, Munisettha E., Vaver, Nicholas J., Husted, Troy, Kallemeyn, Nicolas Ian, Spangler, Ava A, Mccurry, Kyle, Schultze, Courtney, Troisi, Thomas, Thomas, Daniel, Ort, Althea E., Singh, Maya A., Soon, Caitlin, Patton, Catherine, Billman, Jayce A., Jarvis, Sam, Hitt, Travis, Masri, Mirna, Albalushi, Yusef J., Schofer, Matthew J, Linnane, Katherine B., Knott, Philip Whiting, Valencia, Whitney, Arias-Robles, Brian A., Ryder, Diana, Simone, Anna, Abrams, Jonathan M., Belknap, Annelene L., Rouse, Charlotte, Reynolds, Alexander, Petric, Romeo S. L., Gomez, Angel A., Meiselman-Ashen, Jonah B., Carey, Luke, Dias, John S., Fischer-White, Jules, Forbes, Aidan E., Galarraga, Gabriela, Kennedy, Forrest, Lawlor, Rian, Murphy, Maxwell J., Norris, Cooper, Quarderer, Josh, Waller, Caroline, Weber, Robert J., Gunderson, Nicole, Boyne, Tom, Gregory, Joshua A., Propper, Henry Austin, von Peccoz, Charles B. Beck, Branch, Donovan, Clarke, Evelyn, Cutler, Libby, Dabberdt, Frederick M., Das, Swagatam, Figueirinhas, John Alfred D., Fougere, Benjamin L., Roy, Zoe A., Zhao, Noah Y., Cox, Corben L., Barnhart, Logan D. W., Craig, Wilmsen B., Moll, Hayden, Pohle, Kyle, Mueller, Alexander, Smith, Elena K., Spicer, Benjamin C., Aycock, Matthew C., Bat-Ulzii, Batchimeg, Murphy, Madalyn C., Altokhais, Abdullah, Thornally, Noah R., Kleinhaus, Olivia R., Sarfaraz, Darian, Barnes, Grant M., Beard, Sara, Banda, David J, Davis, Emma A. B., Huebsch, Tyler J., Wagoner, Michaela, Griego, Justus, Hale, Jack J. Mc, Porter, Trevor J., Abrashoff, Riley, Phan, Denise M., Smith, Samantha M., Srivastava, Ashish, Schlenker, Jared A. W., Madsen, Kasey O., Hirschmann, Anna E., Rankin, Frederick C, Akbar, Zainab A., Blouin, Ethan, Coleman-Plante, Aislinn, Hintsa, Evan, Lookhoff, Emily, Amer, Hamzi, Deng, Tianyue, Dvorak, Peter, Minimo, Josh, Plummer, William C., Ton, Kelly, Solt, Lincoln, AlAbbas, Batool H., AlAwadhi, Areej A., Cooper, Nicholas M., Corbitt, Jessica S, Dunlap, Christian, Johnson, Owen, Malone, Ryan A., Tellez, Yesica, Wallace, Logan, Ta, Michael-Tan D., Wheeler, Nicola H., Ramirez, Ariana C., Huang, Shancheng, Mehidic, Amar, Christiansen, Katherine E, Desai, Om, Domke, Emerson N., Howell, Noah H., Allsbrook, Martin, Alnaji, Teeb, England, Colin, Siles, Nathan, Burton, Nicholas David, Cruse, Zoe, Gilmartin, Dalton, Kim, Brian T., Hattendorf, Elsie, Buhamad, Maryam, Gayou, Lily, Seglem, Kasper, Alkhezzi, Tameem, Hicks, Imari R., Fife, Ryann, Pelster, Lily M., Fix, Alexander, Sur, Sohan N., Truong, Joshua K., Kubiak, Bartlomiej, Bondar, Matthew, Shi, Kyle Z., Johnston, Julia, Acevedo, Andres B., Lee, Junwon, Solorio, William J., Johnston, Braedon Y., McCormick, Tyler, Olguin, Nicholas, Pastor, Paige J., Wilson, Evan M., Trunko, Benjamin L., Sjoroos, Chris, Adams, Kalvyn N, Bell, Aislyn, Brumage-Heller, Grant, Canales, Braden P., Chiles, Bradyn, Driscoll, Kailer H., Hill, Hallie, Isert, Samuel A., Ketterer, Marilyn, Kim, Matthew M., Mewhirter, William J., Phillips, Lance, Phommatha, Krista, Quinn, Megan S., Reddy, Brooklyn J., Rippel, Matthew, Russell, Bowman, Williams, Sajan, Pixley, Andrew M., Gapin, Keala C., Peterson, B., Ruprecht, Collin, Hardie, Isabelle, Li, Isaac, Erickson, Abbey, Gersabeck, Clint, Gopalani, Mariam, Allanqawi, Nasser, Burton, Taylor, Cahn, Jackson R., Conti, Reese, White, Oliver S., Rojec, Stewart, Hogen, Blake A., Swartz, Jason R., Dick, R., Battist, Lexi, Dunn, Gabrielle M., Gasser, Rachel, Logan, Timothy W., Sinkovic, Madeline, Schaller, Marcus T., Heintz, Danielle A., Enrich, Andrew, Sanchez, Ethan S., Perez, Freddy, Flores, Fernando, Kapla, Shaun D., Shockley, Michael C., Phillips, Justin, Rumley, Madigan, Daboub, Johnston, Karsh, Brennan J., Linders, Bridget, Chen, Sam, Do, Helen C., Avula, Abhinav, French, James M., Bertuccio, Chrisanna, Hand, Tyler, Lee, Adrianna J., Neeland, Brenna K, Salazar, Violeta, Andrew, Carter, Barmore, Abby, Beatty, Thomas, Alonzi, Nicholas, Brown, Ryan, Chandler, Olivia M., Collier, Curran, Current, Hayden, Delasantos, Megan E., Bonilla, Alberto Espinosa de los Monteros, Fowler, Alexandra A., Geneser, Julianne R., Gentry, Eleanor, Gustavsson, E. R., Hansson, Jonathan, Hao, Tony Yunfei, Herrington, Robert N., Kelly, James, Kelly, Teagan, Kennedy, Abigail, Marquez, Mathew J., Meillon, Stella, Palmgren, Madeleine L., Pesce, Anneliese, Ranjan, Anurag, Robertson, Samuel M., Smith, Percy, Smith, Trevor J, Soby, Daniel A., Stratton, Grant L., Thielmann, Quinn N., Toups, Malena C., Veta, Jenna S., Young, Trenton J., Maly, Blake, Manzanares, Xander R., Beijer, Joshua, George, Jacob D., Mills, Dylan P., Ziebold, Josh J, Chambers, Paige, Montoya, Michael, Cheang, Nathan M., Anderson, Hunter J., Duncan, Sheridan J., Ehrlich, Lauren, Hudson, Nathan C., Kiechlin, Jack L., Koch, Will, Lee, Justin, Menassa, Dominic, Oakes, S. H., Petersen, Audrey J., Bunsow, J. R. Ramirez, Bay, Joshua, Ramirez, Sacha, Fenwick, Logan D., Boyle, Aidan P., Hibbard, Lea Pearl, Haubrich, Calder, Sherry, Daniel P., Jenkins, Josh, Furney, Sebastian, Velamala, Anjali A., Krueger, Davis J., Thompson, William N., Chhetri, Jenisha, Lee, Alexis Ying-Shan, Ray, Mia G. V., Recchia, John C., Lengerich, Dylan, Taulman, Kyle, Romero, Andres C., Steward, Ellie N., Russell, Sloan, Hardwick, Dillon F., Wootten, Katelynn, Nguyen, Valerie A., Quispe, Devon, Ragsdale, Cameron, Young, Isabel, Atchley-Rivers, N. S., Stribling, Jordin L., Gentile, Julia G, Boeyink, Taylor A., Kwiatkowski, Daniel, Dupeyron, Tomi Oshima, Crews, Anastasia, Shuttleworth, Mitchell, Dresdner, Danielle C., Flackett, Lydia, Haratsaris, Nicholas, Linger, Morgan I, Misener, Jay H., Patti, Samuel, Pine, Tawanchai P., Marikar, Nasreen, Matessi, Giorgio, Routledge, Allie C., Alkaabi, Suhail, Bartman, Jessica L., Bisacca, Gabrielle E., Busch, Celeste, Edwards, Bree, Staudenmier, Caitlyn, Starling, Travis, McVey, Caden, Montano, Maximus, Contizano, Charles J., Taylor, Eleanor, McIntyre, James K., Victory, Andrew, McCammon, Glen S., Kimlicko, Aspen, Sheldrake, Tucker, Shelchuk, Grace, Von Reich, Ferin J., Hicks, Andrew J., O'neill, Ian, Rossman, Beth, Taylor, Liam C., MacDonald, William, Becker, Simone E., Han, Soonhee, O'Sullivan, Cian, Wilcove, Isaac, Brennan, David J., Hanley, Luke C., Hull, Owen, Wilson, Timothy R., Kalmus, Madison H., Berv, Owen A., Harris, Logan Swous, Doan, Chris H, Londres, Nathan, Parulekar, Anish, Adam, Megan M., Angwin, Abigail, Cabbage, Carter C., Colleran, Zachary, Pietras, Alex, Seux, Octave, Oros, Ryan, Wilkinson, Blake C., Nguyen, Khoa D, Trank-Greene, Maedee, Barone, Kevin M., Snyder, G. L., Biehle, Samuel J, Billig, Brennen, Almquist, Justin Thomas, Dixon, Alyssa M., Erickson, Benjamin, Evans, Nathan, Genne, SL, Kelly, Christopher M, Marcus, Serafima M., Ogle, Caleb, Patel, Akhil, Vendetti, Evan, Courtney, Olivia, Deel, Sean, Del Foco, Leonardo, Gjini, Michael, Haines, Jessica, Hoff, Isabelle J., Jones, M. R., Killian, Dominic, Kuehl, Kirsten, Kuester, Chrisanne, Lantz, Maxwell B., Lee, Christian J, Mauer, Graham, McKemey, Finbar K., Millican, Sarah J., Rosasco, Ryan, Stewart, T. C., VanEtten, Eleanor, Derwin, Zachary, Serio, Lauren, Sickler, Molly G., Blake, Cassidy A., Patel, Neil S., Fox, Margaret, Gray, Michael J, Ziegler, Lucas J., Kumar, Aman Priyadarshi, Polly, Madelyn, Mesgina, Sarah, McMorris, Zane, Griffin, Kyle J., Haile, L. N., Bassel, Claire, Dixon, Thomas J., Beattie, Ryan, Houck, Timothy J, Rodgers, Maeve, Trofino, Tyson R., Lukianow, Dax, Smart, Korben, Hall, Jacqueline L., Bone, Lauren, Baldwin, James O., Doane, Connor, Almohsen, Yousef A., Stamos, Emily, Acha, Iker, Kim, Jake, Samour II, Antonio E., Chavali, S., Kanokthippayakun, Jeerakit, Gotlib, Nicholas, Murphy, Ryan C., Archibald, Jack. W., Brimhall, Alexander J, Boyer, Aidan, Chapman, Logan T., Chadda, Shivank, Sibrell, Lisa, Vallery, Mia M., Conroy, Thomas C., Pan, Luke J., Balajonda, Brian, Fuhrman, Bethany E. S., Alkubaisi, Mohamed, Engelstad, Jacob, Dodrill, Joshua, Fuchs, Calvin R., Bullard-Connor, Gigi, Alhuseini, Isehaq, Zygmunt, James C., Sipowicz, Leo, Hayrynen, Griffin A., McGill, Riley M., Keating, Caden J., Hart, Omer, Cyr, Aidan St., Steinsberger, Christopher H., Thoman, Gerig, Wood, Travis M., Ingram, Julia A., Dominguez, J., Georgiades, Nathaniel James, Johnson, Matthew, Johnson, Sawyer, Pedersen, Alexander J., Ralapanawe, Anoush K, Thomas, Jeffrey J., Sato, Ginn A., Reynolds, Hope, Nasser, Liebe, Mizzi, Alexander Z., Damgaard, Olivia, Baflah, Abdulrahman A., Liu, Steven Y., Salindeho, Adam D., Norden, Kelso, Gearhart, Emily E., Krajnak, Zack, Szeremeta, Philip, Amos, Meggan, Shin, Kyungeun, Muckenthaler, Brandon A., Medialdea, Melissa, Beach, Simone, Wilson, Connor B., Adams, Elena R, Aldhamen, Ahmed, Harris, Coyle M., Hesse, Troy M., Golding, Nathan T., Larter, Zachary, Hernandez, Angel, Morales, Genaro, Traxler, Robert B., Alosaimi, Meshal, Fitton, Aidan F., Aaron, James Holland, Lee, Nathaniel F., Liao, Ryan Z., Chen, Judy, French, Katherine V., Loring, Justin, Colter, Aurora, McConvey, Rowan, Colozzi, Michael, Vann, John D., Scheck, Benjamin T., Weigand, Anthony A, Alhabeeb, Abdulelah, Idoine, Yolande, Woodard, Aiden L., Medellin, Mateo M., Ratajczyk, Nicholas O, Tobin, Darien P., Collins, Jack C., Horning, Thomas M., Pellatz, Nick, Pitten, John, Lordi, Noah, Patterson, Alyx, Hoang, Thi D, Zimmermann, Ingrid H, Wang, Hongda, Steckhahn, Daniel, Aradhya, Arvind J., Oliver, Kristin A., Cai, Yijian, Wang, Chaoran, Yegovtsev, Nikolay, Wu, Mengyu, Ganesan, Koushik, Osborne, Andrew, Wickenden, Evan, Meyer, Josephine C., Chaparro, David, Visal, Aseem, Liu, Haixin, Menon, Thanmay S., Jin, Yan, Wilson, John, Erikson, James W., Luo, Zheng, Shitara, Nanako, Nelson, Emma E, Geerdts, T. R., Ortiz, Jorge L Ramirez, and Lewandowski, H. J.
- Subjects
Astrophysics - Solar and Stellar Astrophysics - Abstract
Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counter-intuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, $\alpha=2$ as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed $>$600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: pre-flare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that $\alpha = 1.63 \pm 0.03$. This is below the critical threshold, suggesting that Alfv\'en waves are an important driver of coronal heating., Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The Astrophysical Journal on 2023-05-09, volume 948, page 71
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- 2023
- Full Text
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6. Quantitative evaluation of corneal irregularity and scarring after infectious keratitis using anterior segment optical coherence tomography
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Ichikawa, Kazunori, Ono, Takashi, Chen, Lily, Kitamoto, Kohdai, Taketatni, Yukako, Toyono, Tetsuya, Yoshida, Junko, Aihara, Makoto, and Miyai, Takashi
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- 2024
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7. The Impact of Food-Shaping Techniques on Nutrition, Mealtime Experiences, and Quality of Life for Older Adults in Aged Care Settings: A Systematic Review
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Chen, Lily, Hemsley, Bronwyn, and Debono, Deborah
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- 2023
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8. Risk factors and outcomes of melanoma in children and adolescents: A retrospective multicenter study
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Hawryluk, Elena B., Moustafa, Danna, Barry, Kelly K., Bahrani, Eman, Reusch, Diana B., Brahmbhatt, Meera, Chen, Lily, Coughlin, Carrie C., Gerami, Pedram, Haddock, Ellen, Hook, Kristen, Humphrey, Stephen R., Kao, Pei-Chi, Kruse, Lacey L., Lawley, Leslie P., Mansour, Danny, Marghoob, Ashfaq A., Nguyen, Julie, Phung, Thuy L., Pope, Elena, Raisanen, Tom, Robinson, Sarah, Rogers, Tova, Schmidt, Birgitta, Tran, Gary, Travis, Kate, Wolner, Zachary, London, Wendy B., Eichenfield, Lawrence F., and Huang, Jennifer
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- 2024
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9. Exploring feedback‐controlled versus open‐circuit electrochemical lipolysis in ex vivo and in vivo porcine fat: A feasibility study
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Heidari, Andrew E, Hong, Ellen M, Park, Asher, Pham, Tiffany T, Steward, Earl, Chen, Lily Y, Qu, Yueqiao, Dunn, Brandyn S, Seo, Soo H, Patel, Urja, Dilley, Katelyn, Hakimi, Amir A, Syed, Adeela, Kim, Sehwan, Hill, Michael G, You, Joon S, and Wong, Brian JF
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Biomedical and Clinical Sciences ,Clinical Sciences ,Dentistry ,Bioengineering ,Adipocytes ,Animals ,Feasibility Studies ,Feedback ,Female ,Lipolysis ,Longitudinal Studies ,Swine ,body contouring ,electrochemical lipolysis ,electrochemistry ,fat necrosis ,fat reduction ,fat sculpting ,lipolysis ,minimally invasive cosmetic procedures ,Dermatology & Venereal Diseases ,Clinical sciences - Abstract
ObjectivesMinimally invasive fat sculpting techniques are becoming more widespread with the development of office-based devices and therapies. Electrochemical lipolysis (ECLL) is a needle-based technology that uses direct current (DC) to electrolyze tissue water creating acid and base in situ. In turn, fat is saponified and adipocyte cell membrane lysis occurs. The electrolysis of water can be accomplished using a simple open-loop circuit (V-ECLL) or by incorporating a feedback control circuit using a potentiostat (P-ECLL). A potentiostat utilizes an operational amplifier with negative feedback to allow users to precisely control voltage at specific electrodes. To date, the variation between the two approaches has not been studied. The aim of this study was to assess current and charge transfer variation and lipolytic effect created by the two approaches in an in vivo porcine model.MethodsCharge transfer measurements from ex vivo V-ECLL and P-ECLL treated porcine skin and fat were recorded at -1 V P-ECLL, -2 V P-ECLL, -3 V P-ECLL, and -5 V V-ECLL each for 5 min to guide dosimetry parameters for in vivo studies. In follow-up in vivo studies, a sedated female Yorkshire pig was treated with both V-ECLL and P-ECLL across the dorsal surface over a range of dosimetry parameters, including -1.5 V P-ECLL, -2.5 V P-ECLL, -3.5 V P-ECLL, and 5 V V-ECLL each treated for 5 min. Serial biopsies were performed at baseline before treatment, 1, 2, 7, 14, and 28 days after treatment. Tissue was examined using fluorescence microscopy and histology to compare the effects of the two ECLL approaches.ResultsBoth V-ECLL and P-ECLL treatments induced in-vivo fat necrosis evident by adipocyte membrane lysis, adipocyte denuclearization, and an acute inflammatory response across a 28-day longitudinal study. However, -1.5 V P-ECLL produced a smaller spatial necrotic effect compared to 5 V V-ECLL. In addition, 5 V V-ECLL produced a comparable necrotic effect to that of -2.5 V and -3.5 V P-ECLL.ConclusionsV-ECLL and P-ECLL at the aforementioned dosimetry parameters both achieved fat necrosis by adipocyte membrane lysis and denuclearization. The -2.5 V and -3.5 V P-ECLL treatments created spatially similar fat necrotic effects when compared to the 5 V V-ECLL treatment. Quantitatively, total charge transfer between dosimetry parameters suggests that -2.5 V P-ECLL and 5 V V-ECLL produce comparable electrochemical reactions. Such findings suggest that a low-voltage closed-loop potentiostat-based system is capable of inducing fat necrosis to a similar extent compared to that of a higher voltage direct current system.
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- 2022
10. Development of a Cost-Effective Surgical Headlight Using Consumer Light Emitting Diode Lighting and 3D Printing
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Gupta, Deven K, Chen, Lily, Heidari, Andrew E, Chau, Steven, Dunn, Brandyn, and Wong, Brian J-F
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Biomedical and Clinical Sciences ,Clinical Sciences ,Patient Safety ,Cost-Benefit Analysis ,Humans ,Lighting ,Printing ,Three-Dimensional ,Surgeons ,surgical simulation ,cost-effective ,surgical headlight ,3D printing ,Design Practice and Management ,Surgery ,Clinical sciences - Abstract
Need. Battery-powered Light Emitting Diode (LED) surgical headlights are necessary for improved intraoperative illumination but may be costly. Technical Solution. The objective of this study was to develop a low-cost surgical headlight using a consumer-grade LED headlight and 3D-printed mount. Proof of Concept. Eighteen surgical residents performed simulation exercises that mimicked suturing in the oral cavity using both a custom prototype headlight and a commercial surgical headlight. The time required to complete the task with each headlight was recorded along with an exit survey. A second device was created based on the critiques of the first device and was tested by ten additional surgical trainees. Surgical residents completed the simulation task in 27 ± 8.6 seconds and 21 ± 5.6 seconds with the commercially available headlight and first prototype, respectively. In the second experiment, the simulation task was completed in 23 ± 11.1 and 23 ± 12.2 seconds with the commercially available headlight and second device, respectively. Survey results showed an overall positive consensus, with critiques about headband security, suggestions for smaller LED chassis, and a more robust mounting bracket. Some preferred the prototype headlight due to the wider field of illumination compared to the commercially available unit (ie, beam spread/beam angle). Next Steps. Future adjustments are required to optimize the location of the headlight and the battery to modify the weight distribution of the device. Conclusion. These findings demonstrate that our prototype models are viable alternatives to conventional surgical headlights and warrant continued optimization for broader adoption by surgeons and trainees for whom higher-cost alternatives are not an option.
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- 2021
11. Mortality Associated With Proportionality of Secondary Mitral Regurgitation After Transcatheter Mitral Valve Repair: North American Mitraclip for Functional Mitral Regurgitation Registry
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Duggal, Neal M., Engoren, Milo, Chadderdon, Scott M., Rodriguez, Evelio, Morse, M. Andrew, Vannan, Mani A., Yadav, Pradeep K., Morcos, Michael, Li, Flora, Reisman, Mark, Garcia-Sayan, Enrique, Raghunathan, Deepa, Sodhi, Nishtha, Sorajja, Paul, Chen, Lily, Rogers, Jason H., Calfon, Marcella A., Kovach, Christopher P., Gill, Edward A., Zahr, Firas E., Chetcuti, Stanley J., Yuan, Yuan, Mentz, Graciela B., Lim, D. Scott, and Ailawadi, Gorav
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- 2024
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12. Adolescent Alcohol Exposure Produces Sex-Specific Long-term Hyperalgesia via Changes in Central Amygdala Circuit Function
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Secci, Maria E., Kelley, Leslie K., Avegno, Elizabeth M., Holmgren, Eleanor B., Chen, Lily, Rein, Sydney L., Engi, Sheila A., Quinlan, Virginia, Wilson, Lisa, Gilpin, Nicholas W., and Wills, Tiffany A.
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- 2024
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13. Surface kinematic and depth-resolved analysis of human vocal folds in vivo during phonation using optical coherence tomography.
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Sharma, Giriraj K, Chen, Lily Y, Chou, Lidek, Badger, Christopher, Hong, Ellen, Rangarajan, Swathi, Chang, Theodore H, Armstrong, William B, Verma, Sunil P, Chen, Zhongping, Ramalingam, Ram, and Wong, Brian J-F
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image processing ,in vivo imaging ,larynx ,mucosal wave ,optical coherence tomography ,tissues ,Optics ,Optical Physics ,Biomedical Engineering ,Opthalmology and Optometry - Abstract
SignificanceThe human vocal fold (VF) oscillates in multiple vectors and consists of distinct layers with varying viscoelastic properties that contribute to the mucosal wave. Office-based and operative laryngeal endoscopy are limited to diagnostic evaluation of the VF epithelial surface only and are restricted to axial-plane characterization of the horizontal mucosal wave. As such, understanding of the biomechanics of human VF motion remains limited.AimOptical coherence tomography (OCT) is a micrometer-resolution, high-speed endoscopic imaging modality which acquires cross-sectional images of tissue. Our study aimed to leverage OCT technology and develop quantitative methods for analyzing the anatomy and kinematics of in vivo VF motion in the coronal plane.ApproachA custom handheld laryngeal stage was used to capture OCT images with 800 A-lines at 250 Hz. Automated image postprocessing and analytical methods were developed.ResultsNovel kinematic analysis of in vivo, long-range OCT imaging of the vibrating VF in awake human subjects is reported. Cross-sectional, coronal-plane panoramic videos of the larynx during phonation are presented with three-dimensional videokymographic and space-time velocity analysis of VF motion.ConclusionsLong-range OCT with automated computational methods allows for cross-sectional dynamic laryngeal imaging and has the potential to broaden our understanding of human VF biomechanics and sound production.
- Published
- 2021
14. NAVWAR Buildathon fosters positive learning environment for innovation through structured challenge
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Chen, Lily
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Information warfare ,Government ,Political science - Abstract
Naval Information Warfare Systems Command (NAVWAR) hosted its second annual Buildathon June 24-27 to foster data-driven learning, collaboration and innovation among its workforce and beyond. A joint effort between NAVWAR [...]
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- 2024
15. UbiA prenyltransferase domain-containing protein 1 (UBIAD1) variant c.695 A > G identified in a multigenerational Japanese family with Schnyder corneal dystrophy
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Tsuneya, Miki, Chen, Lily Wei, Ono, Takashi, Hashimoto, Yumi, Kitamoto, Kohdai, Taketani, Yukako, Toyono, Tetsuya, Aihara, Makoto, and Miyai, Takashi
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- 2023
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16. Gemcitabine/paclitaxel/adriamycin (GTA) as a nephron-sparing regimen in urothelial carcinoma: The MD Anderson Cancer Center (MDACC) experience.
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Moussa, Mohammad Jad, primary, Subramanian, Naveen G., additional, Haro-Silerio, Jaime, additional, Chen, Lily, additional, Shah, Amishi Yogesh, additional, Gao, Jianjun, additional, Corn, Paul Gettys, additional, Goswami, Sangeeta, additional, Msaouel, Pavlos, additional, Wang, Jianbo, additional, Kamat, Ashish M., additional, Guo, Charles C., additional, Tannir, Nizar M., additional, Siefker-Radtke, Arlene O., additional, Alhalabi, Omar, additional, and Campbell, Matthew T, additional
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- 2024
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17. The effect of vertex and edge deletion on the edge metric dimension of graphs
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Wei, Meiqin, Yue, Jun, and Chen, Lily
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- 2022
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18. DP-4-colorability of two classes of planar graphs
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Chen, Lily, Liu, Runrun, Yu, Gexin, Zhao, Ren, and Zhou, Xiangqian
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Mathematics - Combinatorics - Abstract
DP-coloring (also known as correspondence coloring) is a generalization of list coloring introduced recently by Dvo\v{r}\'ak and Postle (2017). In this paper, we prove that every planar graph $G$ without $4$-cycles adjacent to $k$-cycles is DP-$4$-colorable for $k=5$ and $6$. As a consequence, we obtain two new classes of $4$-choosable planar graphs. We use identification of verticec in the proof, and actually prove stronger statements that every pre-coloring of some short cycles can be extended to the whole graph., Comment: 12 pages
- Published
- 2018
19. Investigating Instructor Talk in Novel Contexts: Widespread Use, Unexpected Categories, and an Emergent Sampling Strategy.
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Harrison, Colin, Nguyen, Tiffy, Seidel, Shannon, Escobedo, Alycia, Hartman, Courtney, Lam, Katie, Liang, Kristen, Martens, Miranda, Acker, Gigi, Akana, Susan, Balukjian, Brad, Benton, Hilary, Blair, J, Boaz, Segal, Boyer, Katharyn, Bram, Jason, Burrus, Laura, Byrd, Dana, Caporale, Natalia, Carpenter, Edward, Chan, Yee-Hung, Chen, Lily, Chovnick, Amy, Chu, Diana, Clarkson, Bryan, Cooper, Sara, Creech, Catherine, de la Torre, José, Denetclaw, Wilfred, Duncan, Kathleen, Edwards, Amelia, Erickson, Karen, Fuse, Megumi, Gorga, Joseph, Govindan, Brinda, Green, L, Hankamp, Paul, Harris, Holly, He, Zheng-Hui, Ingalls, Stephen, Ingmire, Peter, Jacobs, J, Kamakea, Mark, Kimpo, Rhea, Knight, Jonathan, Krause, Sara, Krueger, Lori, Light, Terrye, Lund, Lance, Márquez-Magaña, Leticia, McCarthy, Briana, McPheron, Linda, Miller-Sims, Vanessa, Moffatt, Christopher, Muick, Pamela, Nagami, Paul, Nusse, Gloria, Okimura, K, Pasion, Sally, Patterson, Robert, Pennings, Pleuni, Riggs, Blake, Romeo, Joseph, Roy, Scott, Russo-Tait, Tatiane, Schultheis, Lisa, Sengupta, Lakshmikanta, Spicer, Greg, Swei, Andrea, Wade, Jennifer, Willsie, Julia, Kelley, Loretta, Owens, Melinda, Trujillo, Gloriana, Domingo, Carmen, Schinske, Jeffrey, and Tanner, Kimberly
- Subjects
Biology ,Curriculum ,Data Collection ,Faculty ,Humans ,Learning ,Students ,Teaching - Abstract
Instructor Talk-noncontent language used by instructors in classrooms-is a recently defined and promising variable for better understanding classroom dynamics. Having previously characterized the Instructor Talk framework within the context of a single course, we present here our results surrounding the applicability of the Instructor Talk framework to noncontent language used by instructors in novel course contexts. We analyzed Instructor Talk in eight additional biology courses in their entirety and in 61 biology courses using an emergent sampling strategy. We observed widespread use of Instructor Talk with variation in the amount and category type used. The vast majority of Instructor Talk could be characterized using the originally published Instructor Talk framework, suggesting the robustness of this framework. Additionally, a new form of Instructor Talk-Negatively Phrased Instructor Talk, language that may discourage students or distract from the learning process-was detected in these novel course contexts. Finally, the emergent sampling strategy described here may allow investigation of Instructor Talk in even larger numbers of courses across institutions and disciplines. Given its widespread use, potential influence on students in learning environments, and ability to be sampled, Instructor Talk may be a key variable to consider in future research on teaching and learning in higher education.
- Published
- 2019
20. Risk Factors and Outcomes of Nonmelanoma Skin Cancer in Children and Young Adults
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Huang, Jennifer T, Coughlin, Carrie C, Hawryluk, Elena B, Hook, Kristen, Humphrey, Stephen R, Kruse, Lacey, Lawley, Leslie, Al-Sayegh, Hasan, London, Wendy B, Marghoob, Ashfaq, Phung, Thuy L, Pope, Elena, Gerami, Pedram, Schmidt, Birgitta, Robinson, Sarah, Bartenstein, Diana, Bahrani, Eman, Brahmbhatt, Meera, Chen, Lily, Haddock, Ellen, Mansour, Danny, Nguyen, Julie, Raisanen, Tom, Tran, Gary, Travis, Kate, Wolner, Zachary, and Eichenfield, Lawrence F
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Biomedical and Clinical Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Prevention ,Pediatric ,Clinical Research ,Adolescent ,Antifungal Agents ,Antineoplastic Agents ,Carcinoma ,Basal Cell ,Carcinoma ,Squamous Cell ,Case-Control Studies ,Child ,Child ,Preschool ,Female ,Genetic Predisposition to Disease ,Humans ,Immunosuppressive Agents ,Infant ,Male ,Radiotherapy ,Retrospective Studies ,Risk Factors ,Skin Neoplasms ,United States ,Voriconazole ,Young Adult ,basal cell nevus syndrome ,chemotherapy ,genodermatosis ,iatrogenic ,prolonged immunosuppression ,radiation therapy ,voriconazole ,xeroderma pigmentosum ,Human Movement and Sports Sciences ,Paediatrics and Reproductive Medicine ,Pediatrics ,Paediatrics - Abstract
ObjectiveTo identify risk factors associated with nonmelanoma skin cancer (NMSC) occurrence and survival in children.Study designThis was a multicenter, retrospective, case-control study of patients 12 months prior to diagnosis and 49% of patients were diagnosed with ≥2 skin cancers. At last follow-up, 5% (6 of 124) of patients with NMSC died. Voriconazole exposure was noted in 7 cases and associated with worse 3-year overall survival (P = .001).ConclusionsNMSC in children and young adults is often associated with a predisposing condition or iatrogenic exposure. High-risk patients should be identified early to provide appropriate counseling and management.
- Published
- 2019
21. Computational analysis of six optical coherence tomography systems for vocal fold imaging: A comparison study
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Pham, Tiffany T, Chen, Lily, Heidari, Andrew E, Chen, Jason J, Zhukhovitskaya, Alisa, Li, Yan, Patel, Urja, Chen, Zhongping, and Wong, Brian JF
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Biomedical and Clinical Sciences ,Ophthalmology and Optometry ,Biomedical Imaging ,Bioengineering ,Networking and Information Technology R&D (NITRD) ,4.2 Evaluation of markers and technologies ,larynx ,vocal folds ,true vocal folds ,vocal cords ,porcine vocal folds ,optical coherence tomography ,laryngeal imaging ,system comparisons ,segmentation - Abstract
ObjectivesThere have been many advancements in laryngeal imaging using optical coherence tomography (OCT), with varying system design and probes for use in research, office, and operating room settings. We evaluated the performance of six distinct OCT systems in imaging porcine vocal folds (cords) using computational image processing and segmentation.MethodsPorcine vocal folds were scanned using six OCT systems. Imaging system and probe performance were quantitatively assessed for signal penetration, layer differentiation, and epithelium (EP) measurement. Fitted exponential decay curves with corresponding α constant and intensity thresholding segmentation were utilized to quantify the aforementioned parameters.ResultsThe smallest average α constant and deepest signal penetration was of the SS-OCT 1700 nm 90 kHz microscope system (α = -1.74), followed by the SS-OCT 1310 nm 200 kHz VCSEL microscope system (α = -1.99), and SS-OCT 1310 nm 50 kHz rigid forward viewing endoscope system (α = -2.23). The EP was not readily visualized for three out of six systems, but was detected using automated segmentation. Average EP thickness (mean ± SD) was calculated as 55.79 ± 31.86 μm which agrees favorably with previous literature.ConclusionComparisons of OCT systems are challenging, as they encompass different probe design, optical path, and lasers, depending on application. Practical evaluation of different systems using computer based quantitative image processing and segmentation revealed basic, constructive information, such as EP measurements. To further validate the comparisons of system performance with clinical usability, in vivo human laryngeal imaging will be conducted. Further development of automated image processing and segmentation can be useful in rapid analysis of information. Lasers Surg. Med. 51:412-422, 2019. © 2019 Wiley Periodicals, Inc.
- Published
- 2019
22. The inclusion-free edge-colorings of [formula omitted]-bipartite graphs
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Chen, Lily, Li, Yanyi, and Zhou, Xiangqian
- Published
- 2022
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23. Developing a cerium lactate antibacterial nucleating agent for multifunctional polylactic acid packaging film
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Wu, Yincai, Hao, Xihai, Lin, Fenglong, Wang, Shenglong, Chen, Lily, Lin, Xintu, Gan, Diansong, Fan, Shuhong, Song, Lijun, and Liu, Yuejun
- Published
- 2022
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24. Regular and irregular astigmatism of bullous keratopathy using Fourier harmonic analysis with anterior segment optical coherence tomography
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Chen, Lily Wei, Ono, Takashi, Hashimoto, Yumi, Tsuneya, Miki, Abe, Yuito, Omoto, Takashi, Taketani, Yukako, Toyono, Tetsuya, Aihara, Makoto, and Miyai, Takashi
- Published
- 2022
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25. Preparation a skin disease UV protection polylactic acid film and crystallinity, mechanical properties characterization
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Wu, Yincai, Lin, Xintu, Chen, Lily, Gan, Diansong, Li, Rujian, Liu, Yuejun, Song, Lijun, Hao, Xihai, Dong, Tungalag, Liu, Linze, Lin, Fenglong, and Wang, Shenglong
- Published
- 2022
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26. Collectively Improving Our Teaching: Attempting Biology Department–wide Professional Development in Scientific Teaching
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Owens, Melinda T, Trujillo, Gloriana, Seidel, Shannon B, Harrison, Colin D, Farrar, Katherine M, Benton, Hilary P, Blair, JR, Boyer, Katharyn E, Breckler, Jennifer L, Burrus, Laura W, Byrd, Dana T, Caporale, Natalia, Carpenter, Edward J, Chan, Yee-Hung M, Chen, Joseph C, Chen, Lily, Chen, Linda H, Chu, Diana S, Cochlan, William P, Crook, Robyn J, Crow, Karen D, de la Torre, José R, Denetclaw, Wilfred F, Dowdy, Lynne M, Franklin, Darleen, Fuse, Megumi, Goldman, Michael A, Govindan, Brinda, Green, Michael, Harris, Holly E, He, Zheng-Hui, Ingalls, Stephen B, Ingmire, Peter, Johnson, Amber RB, Knight, Jonathan D, LeBuhn, Gretchen, Light, Terrye L, Low, Candace, Lund, Lance, Márquez-Magaña, Leticia M, Miller-Sims, Vanessa C, Moffatt, Christopher A, Murdock, Heather, Nusse, Gloria L, Parker, V Thomas, Pasion, Sally G, Patterson, Robert, Pennings, Pleuni S, Ramirez, Julio C, Ramirez, Robert M, Riggs, Blake, Rohlfs, Rori V, Romeo, Joseph M, Rothman, Barry S, Roy, Scott W, Russo-Tait, Tatiane, Sehgal, Ravinder NM, Simonin, Kevin A, Spicer, Greg S, Stillman, Jonathon H, Swei, Andrea, Tempe, Leslie C, Vredenburg, Vance T, Weinstein, Steven L, Zink, Andrew G, Kelley, Loretta A, Domingo, Carmen R, and Tanner, Kimberly D
- Subjects
Curriculum and Pedagogy ,Education Systems ,Education ,Quality Education ,Biology ,Faculty ,Goals ,Humans ,Motivation ,Problem-Based Learning ,Program Development ,Students ,Surveys and Questionnaires ,Teaching ,Curriculum and pedagogy - Abstract
Many efforts to improve science teaching in higher education focus on a few faculty members at an institution at a time, with limited published evidence on attempts to engage faculty across entire departments. We created a long-term, department-wide collaborative professional development program, Biology Faculty Explorations in Scientific Teaching (Biology FEST). Across 3 years of Biology FEST, 89% of the department's faculty completed a weeklong scientific teaching institute, and 83% of eligible instructors participated in additional semester-long follow-up programs. A semester after institute completion, the majority of Biology FEST alumni reported adding active learning to their courses. These instructor self-reports were corroborated by audio analysis of classroom noise and surveys of students in biology courses on the frequency of active-learning techniques used in classes taught by Biology FEST alumni and nonalumni. Three years after Biology FEST launched, faculty participants overwhelmingly reported that their teaching was positively affected. Unexpectedly, most respondents also believed that they had improved relationships with departmental colleagues and felt a greater sense of belonging to the department. Overall, our results indicate that biology department-wide collaborative efforts to develop scientific teaching skills can indeed attract large numbers of faculty, spark widespread change in teaching practices, and improve departmental relations.
- Published
- 2018
27. Participatory Design of a Serious Game to Improve Wildfire Preparedness with Community Residents and Experts
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Johns, MJ, primary, Ezenwa, Emmanuel Chinedum, additional, Lee, Seunghyun, additional, Maiorana, Thomas, additional, Wood, Ciel, additional, Levano, Josh D, additional, Tesfay, Rita Aksum, additional, Takami, Michael, additional, Dodd, Cameron A, additional, Li, Madison, additional, Manning, Hanne, additional, Pak, Regis, additional, Chen, Lily, additional, Saini, Ria K, additional, Escarce, Mário, additional, Hendawy, Mennatullah, additional, Seif El-Nasr, Magy, additional, Melcer, Edward F., additional, and Isbister, Katherine, additional
- Published
- 2024
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28. Recommendations for Discrete Logarithm-based Cryptography
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Chen, Lily, primary, Moody, Dustin, additional, Regenscheid, Andrew, additional, Robinson, Angela, additional, and Randall, Karen, additional
- Published
- 2023
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29. Classroom sound can be used to classify teaching practices in college science courses.
- Author
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Owens, Melinda, Seidel, Shannon, Wong, Mike, Bejines, Travis, Lietz, Susanne, Perez, Joseph, Sit, Shangheng, Subedar, Zahur-Saleh, Acker, Gigi, Akana, Susan, Balukjian, Brad, Benton, Hilary, Blair, J, Boaz, Segal, Boyer, Katharyn, Bram, Jason, Burrus, Laura, Byrd, Dana, Caporale, Natalia, Carpenter, Edward, Chan, Yee-Hung, Chen, Lily, Chovnick, Amy, Chu, Diana, Clarkson, Bryan, Cooper, Sara, Creech, Catherine, Crow, Karen, de la Torre, José, Denetclaw, Wilfred, Duncan, Kathleen, Edwards, Amy, Erickson, Karen, Fuse, Megumi, Gorga, Joseph, Govindan, Brinda, Green, L, Hankamp, Paul, Harris, Holly, He, Zheng-Hui, Ingalls, Stephen, Ingmire, Peter, Jacobs, J, Kamakea, Mark, Kimpo, Rhea, Knight, Jonathan, Krause, Sara, Krueger, Lori, Light, Terrye, Lund, Lance, Márquez-Magaña, Leticia, McCarthy, Briana, McPheron, Linda, Miller-Sims, Vanessa, Moffatt, Christopher, Muick, Pamela, Nagami, Paul, Nusse, Gloria, Okimura, Kristine, Pasion, Sally, Patterson, Robert, Pennings, Pleuni, Riggs, Blake, Romeo, Joseph, Roy, Scott, Russo-Tait, Tatiane, Schultheis, Lisa, Sengupta, Lakshmikanta, Small, Rachel, Spicer, Greg, Stillman, Jonathon, Swei, Andrea, Wade, Jennifer, Waters, Steven, Weinstein, Steven, Willsie, Julia, Wright, Diana, Harrison, Colin, Kelley, Loretta, Trujillo, Gloriana, Domingo, Carmen, Schinske, Jeffrey, and Tanner, Kimberly
- Subjects
active learning ,assessment ,evidence-based teaching ,lecture ,science education ,Humans ,Problem-Based Learning ,Science ,Sound ,Students ,Teaching ,Technology ,Universities - Abstract
Active-learning pedagogies have been repeatedly demonstrated to produce superior learning gains with large effect sizes compared with lecture-based pedagogies. Shifting large numbers of college science, technology, engineering, and mathematics (STEM) faculty to include any active learning in their teaching may retain and more effectively educate far more students than having a few faculty completely transform their teaching, but the extent to which STEM faculty are changing their teaching methods is unclear. Here, we describe the development and application of the machine-learning-derived algorithm Decibel Analysis for Research in Teaching (DART), which can analyze thousands of hours of STEM course audio recordings quickly, with minimal costs, and without need for human observers. DART analyzes the volume and variance of classroom recordings to predict the quantity of time spent on single voice (e.g., lecture), multiple voice (e.g., pair discussion), and no voice (e.g., clicker question thinking) activities. Applying DART to 1,486 recordings of class sessions from 67 courses, a total of 1,720 h of audio, revealed varied patterns of lecture (single voice) and nonlecture activity (multiple and no voice) use. We also found that there was significantly more use of multiple and no voice strategies in courses for STEM majors compared with courses for non-STEM majors, indicating that DART can be used to compare teaching strategies in different types of courses. Therefore, DART has the potential to systematically inventory the presence of active learning with ∼90% accuracy across thousands of courses in diverse settings with minimal effort.
- Published
- 2017
30. Investigating Instructor Talk in Novel Contexts: Widespread Use, Unexpected Categories, and an Emergent Sampling Strategy
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Harrison, Colin D., Nguyen, Tiffy A., Seidel, Shannon B., Escobedo, Alycia M., Hartman, Courtney, Lam, Katie, Liang, Kristen S., Martens, Miranda, Acker, Gigi N., Akana, Susan F., Balukjian, Brad, Benton, Hilary P., Blair, J. R., Boaz, Segal M., Boyer, Katharyn E., Bram, Jason B., Burrus, Laura W., Byrd, Dana T., Caporale, Natalia, Carpenter, Edward J., Chan, Yee-Hung M., Chen, Lily, Chovnick, Amy, Chu, Diana S., Clarkson, Bryan K., Cooper, Sara E., Creech, Catherine J., de la Torre, José R., Denetclaw, Wilfred F., Duncan, Kathleen, Edwards, Amelia S., Erickson, Karen, Fuse, Megumi, Gorga, Joseph J., Govindan, Brinda, Green, L. Jeanette, Hankamp, Paul Z., Harris, Holly E., He, Zheng-Hui, Ingalls, Stephen B., Ingmire, Peter D., Jacobs, J. Rebecca, Kamakea, Mark, Kimpo, Rhea R., Knight, Jonathan D., Krause, Sara K., Krueger, Lori E., Light, Terrye L., Lund, Lance, Márquez-Magaña, Leticia M., McCarthy, Briana K., McPheron, Linda, Miller-Sims, Vanessa C., Moffatt, Cristopher A., Muick, Pamela C., Nagami, Paul H., Nusse, Gloria, Okimura, K. M., Pasion, Sally G., Patterson, Robert, Pennings, Pleuni S., Riggs, Blake, Romeo, Joseph M., Roy, Scott W., Russo-Tait, Tatiane, Schultheis, Lisa M., Sengupta, Lakshmikanta, Spicer, Greg S., Swei, Andrea, Wade, Jennifer M., Willsie, Julia K., Kelley, Loretta A., Owens, Melinda T., Trujillo, Gloriana, Domingo, Carmen, Schinske, Jeffrey N., and Tanner, Kimberly D.
- Abstract
Instructor Talk--noncontent language used by instructors in classrooms--is a recently defined and promising variable for better understanding classroom dynamics. Having previously characterized the Instructor Talk framework within the context of a single course, we present here our results surrounding the applicability of the Instructor Talk framework to noncontent language used by instructors in novel course contexts. We analyzed Instructor Talk in eight additional biology courses in their entirety and in 61 biology courses using an emergent sampling strategy. We observed widespread use of Instructor Talk with variation in the amount and category type used. The vast majority of Instructor Talk could be characterized using the originally published Instructor Talk framework, suggesting the robustness of this framework. Additionally, a new form of Instructor Talk--Negatively Phrased Instructor Talk, language that may discourage students or distract from the learning process--was detected in these novel course contexts. Finally, the emergent sampling strategy described here may allow investigation of Instructor Talk in even larger numbers of courses across institutions and disciplines. Given its widespread use, potential influence on students in learning environments, and ability to be sampled, Instructor Talk may be a key variable to consider in future research on teaching and learning in higher education.
- Published
- 2019
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31. Sugar sensing in C4 source leaves: a gap that needs to be filled.
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Chen, Lily, Ghannoum, Oula, and Furbank, Robert T
- Subjects
- *
SUGAR , *SUGAR crops , *CROP yields , *PLANT development , *PLANT growth - Abstract
Plant growth depends on sugar production and export by photosynthesizing source leaves and sugar allocation and import by sink tissues (grains, roots, stems, and young leaves). Photosynthesis and sink demand are tightly coordinated through metabolic (substrate, allosteric) feedback and signalling (sugar, hormones) mechanisms. Sugar signalling integrates sugar production with plant development and environmental cues. In C3 plants (e.g. wheat and rice), it is well documented that sugar accumulation in source leaves, due to source–sink imbalance, negatively feeds back on photosynthesis and plant productivity. However, we have a limited understanding about the molecular mechanisms underlying those feedback regulations, especially in C4 plants (e.g. maize, sorghum, and sugarcane). Recent work with the C4 model plant Setaria viridis suggested that C4 leaves have different sugar sensing thresholds and behaviours relative to C3 counterparts. Addressing this research priority is critical because improving crop yield requires a better understanding of how plants coordinate source activity with sink demand. Here we review the literature, present a model of action for sugar sensing in C4 source leaves, and suggest ways forward. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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32. Triple versus Double Orifice Valves After Transcatheter Edge-to-Edge Repair: Clinical Features and Outcomes
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Eng, Maia, primary, Chen, Lily, additional, Stripe, Benjamin, additional, W. Smith, Thomas, additional, Aman, Edris, additional, Fan, Dali, additional, D. Singh, Gagan, additional, and H. Rogers, Jason, additional
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- 2024
- Full Text
- View/download PDF
33. Local Official Turnover and Bank Risk-Taking: Evidence from China
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Luo, Danglun, primary, Li, Yukun, additional, Yuan, Rongli, additional, and Chen, Lily, additional
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- 2024
- Full Text
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34. The strong chromatic index of graphs with edge weight eight
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Chen, Lily, Chen, Shumei, Zhao, Ren, and Zhou, Xiangqian
- Published
- 2020
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35. Tricyclic graphs with maximal revised Szeged index
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Chen, Lily, Li, Xueliang, and Liu, Mengmeng
- Subjects
Mathematics - Combinatorics ,05C12, 05C35, 05C90, 92E10 - Abstract
The revised Szeged index of a graph $G$ is defined as $Sz^*(G)=\sum_{e=uv \in E}(n_u(e)+ n_0(e)/2)(n_v(e)+ n_0(e)/2),$ where $n_u(e)$ and $n_v(e)$ are, respectively, the number of vertices of $G$ lying closer to vertex $u$ than to vertex $v$ and the number of vertices of $G$ lying closer to vertex $v$ than to vertex $u$, and $n_0(e)$ is the number of vertices equidistant to $u$ and $v$. In this paper, we give an upper bound of the revised Szeged index for a connected tricyclic graph, and also characterize those graphs that achieve the upper bound., Comment: 14 pages. arXiv admin note: text overlap with arXiv:1104.2122
- Published
- 2013
36. The 3-rainbow index of a graph
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Chen, Lily, Li, Xueliang, Yang, Kang, and Zhao, Yan
- Subjects
Mathematics - Combinatorics ,05C05, 05C15, 05C75 - Abstract
Let $G$ be a nontrivial connected graph with an edge-coloring $c: E(G)\rightarrow \{1,2,...,q\},$ $q \in \mathbb{N}$, where adjacent edges may be colored the same. A tree $T$ in $G$ is a $rainbow tree$ if no two edges of $T$ receive the same color. For a vertex subset $S\subseteq V(G)$, a tree that connects $S$ in $G$ is called an $S$-tree. The minimum number of colors that are needed in an edge-coloring of $G$ such that there is a rainbow $S$-tree for each $k$-subset $S$ of $V(G)$ is called $k$-rainbow index, denoted by $rx_k(G)$. In this paper, we first determine the graphs whose 3-rainbow index equals 2, $m,$ $m-1$, $m-2$, respectively. We also obtain the exact values of $rx_3(G)$ for regular complete bipartite and multipartite graphs and wheel graphs. Finally, we give a sharp upper bound for $rx_3(G)$ of 2-connected graphs and 2-edge connected graphs, and graphs whose $rx_3(G)$ attains the upper bound are characterized., Comment: 13 pages
- Published
- 2013
37. Further hardness results on the generalized connectivity of graphs
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Chen, Lily, Li, Xueliang, Liu, Mengmeng, and Mao, Yaping
- Subjects
Mathematics - Combinatorics ,05C40, 05C05, 68Q25, 68R10 - Abstract
The generalized $k$-connectivity $\kappa_k(G)$ of a graph $G$ was introduced by Chartrand et al. in 1984, which is a nice generalization of the classical connectivity. Recently, as a natural counterpart, Li et al. proposed the concept of generalized edge-connectivity for a graph. In this paper, we determine the computational complexity of the generalized connectivity and generalized edge-connectivity of a graph. Two conjectures are also proved to be true., Comment: 12 pages. arXiv admin note: text overlap with arXiv:1207.1838
- Published
- 2013
38. Contrasting Theories of Intergenerational Justice: Just Savings or Capabilities
- Author
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Diprose, Kristina, Liu, Chen, Vanderbeck, Robert M., Valentine, Gill, Chen, Lily, McQuaid, Katie, Zhang, Mei, Skelton, Tracey, Editor-in-chief, Punch, Samantha, editor, and Vanderbeck, Robert M., editor
- Published
- 2018
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39. Collectively Improving Our Teaching: Attempting Biology Department-Wide Professional Development in Scientific Teaching
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Owens, Melinda T., Trujillo, Gloriana, Seidel, Shannon B., Harrison, Colin D., Farrar, Katherine M., Benton, Hilary P., Blair, J. R., Boyer, Katharyn E., Breckler, Jennifer L., Burrus, Laura W., Byrd, Dana T., Caporale, Natalia, Carpenter, Edward J., Chan, Yee-Hung M., Chen, Joseph C., Chen, Lily, Chen, Linda H., Chu, Diana S., Cochlan, William P., Crook, Robyn J., Crow, Karen D., de la Torre, José R., Denetclaw, Wilfred F., Dowdy, Lynne M., Franklin, Darleen, Fuse, Megumi, Goldman, Michael A., Govindan, Brinda, Green, Michael, Harris, Holly E., He, Zheng-Hui, Ingalls, Stephen B., Ingmire, Peter, Johnson, Amber R. B., Knight, Jonathan D., LeBuhn, Gretchen, Light, Terrye L., Low, Candace, Lund, Lance, Márquez-Magaña, Leticia M., Miller-Sims, Vanessa C., Moffatt, Christopher A., Murdock, Heather, Nusse, Gloria L., Parker, V. Thomas, Pasion, Sally G., Patterson, Robert, Pennings, Pleuni S., Ramirez, Julio C., Ramirez, Robert M., Riggs, Blake, Rohlfs, Rori V., Romeo, Joseph M., Rothman, Barry S., Roy, Scott W., Russo-Tait, Tatiane, Sehgal, Ravinder N. M., Simonin, Kevin A., Spicer, Greg S., Stillman, Jonathon H., Swei, Andrea, Timpe, Leslie C., Vredenburg, Vance T., Weinstein, Steven L., Zink, Andrew G., Kelley, Loretta A., Domingo, Carmen R., and Tanner, Kimberly D.
- Abstract
Many efforts to improve science teaching in higher education focus on a few faculty members at an institution at a time, with limited published evidence on attempts to engage faculty across entire departments. We created a long-term, department-wide collaborative professional development program, Biology Faculty Explorations in Scientific Teaching (Biology FEST). Across 3 years of Biology FEST, 89% of the department's faculty completed a weeklong scientific teaching institute, and 83% of eligible instructors participated in additional semester-long follow-up programs. A semester after institute completion, the majority of Biology FEST alumni reported adding active learning to their courses. These instructor self-reports were corroborated by audio analysis of classroom noise and surveys of students in biology courses on the frequency of active-learning techniques used in classes taught by Biology FEST alumni and nonalumni. Three years after Biology FEST launched, faculty participants overwhelmingly reported that their teaching was positively affected. Unexpectedly, most respondents also believed that they had improved relationships with departmental colleagues and felt a greater sense of belonging to the department. Overall, our results indicate that biology department-wide collaborative efforts to develop scientific teaching skills can indeed attract large numbers of faculty, spark widespread change in teaching practices, and improve departmental relations.
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- 2018
- Full Text
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40. Risk Factors and Outcomes of Nonmelanoma Skin Cancer in Children and Young Adults
- Author
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Huang, Jennifer T., Coughlin, Carrie C., Hawryluk, Elena B., Hook, Kristen, Humphrey, Stephen R., Kruse, Lacey, Lawley, Leslie, Al-Sayegh, Hasan, London, Wendy B., Marghoob, Ashfaq, Phung, Thuy L., Pope, Elena, Gerami, Pedram, Schmidt, Birgitta, Robinson, Sarah, Bartenstein, Diana, Bahrani, Eman, Brahmbhatt, Meera, Chen, Lily, Haddock, Ellen, Mansour, Danny, Nguyen, Julie, Raisanen, Tom, Tran, Gary, Travis, Kate, Wolner, Zachary, and Eichenfield, Lawrence F.
- Published
- 2019
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41. The (revised) Szeged index and the Wiener index of a nonbipartite graph
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Chen, Lily, Li, Xueliang, and Liu, Mengmeng
- Subjects
Mathematics - Combinatorics ,05C12, 05C35, 05C90, 92E10 - Abstract
Hansen et. al. used the computer programm AutoGraphiX to study the differences between the Szeged index $Sz(G)$ and the Wiener index $W(G)$, and between the revised Szeged index $Sz^*(G)$ and the Wiener index for a connected graph $G$. They conjectured that for a connected nonbipartite graph $G$ with $n \geq 5$ vertices and girth $g \geq 5,$ $ Sz(G)-W(G) \geq 2n-5. $ Moreover, the bound is best possible as shown by the graph composed of a cycle on 5 vertices, $C_5$, and a tree $T$ on $n-4$ vertices sharing a single vertex. They also conjectured that for a connected nonbipartite graph $G$ with $n \geq 4$ vertices, $ Sz^*(G)-W(G) \geq \frac{n^2+4n-6}{4}. $ Moreover, the bound is best possible as shown by the graph composed of a cycle on 3 vertices, $C_3$, and a tree $T$ on $n-3$ vertices sharing a single vertex. In this paper, we not only give confirmative proofs to these two conjectures but also characterize those graphs that achieve the two lower bounds., Comment: 12 pages. arXiv admin note: text overlap with arXiv:1210.6460
- Published
- 2012
42. On a relation between the Szeged index and the Wiener index for bipartite graphs
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Chen, Lily, Li, Xueliang, and Liu, Mengmeng
- Subjects
Mathematics - Combinatorics ,05C12, 05C35, 05C90, 92E10 - Abstract
{\small The Wiener index $W(G)$ of a graph $G$ is the sum of the distances between all pairs of vertices in the graph. The Szeged index $Sz(G)$ of a graph $G$ is defined as $Sz(G)=\sum_{e=uv \in E}n_u(e)n_v(e)$ where $n_u(e)$ and $n_v(e)$ are, respectively, the number of vertices of $G$ lying closer to vertex $u$ than to vertex $v$ and the number of vertices of $G$ lying closer to vertex $v$ than to vertex $u$. Hansen used the computer programm AutoGraphiX and made the following conjecture about the Szeged index and the Wiener index for a bipartite connected graph $G$ with $n \geq 4$ vertices and $m \geq n$ edges: $$ Sz(G)-W(G) \geq 4n-8. $$ Moreover the bound is best possible as shown by the graph composed of a cycle on 4 vertices $C_4$ and a tree $T$ on $n-3$ vertices sharing a single vertex. This paper is to give a confirmative proof to this conjecture., Comment: 8 pages
- Published
- 2012
43. A quantum algorithm for solving the 3-SAT problem
- Author
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Chen, Lily
- Subjects
Computer Science - Computational Complexity - Abstract
The method in this paper is wrong., Comment: This paper is wrong
- Published
- 2012
44. Further hardness results on the rainbow vertex-connection number of graphs
- Author
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Chen, Lily, Li, Xueliang, and Lian, Huishu
- Subjects
Mathematics - Combinatorics ,Computer Science - Computational Complexity ,05C15, 05C40, 68Q17, 68Q25, 90C27 - Abstract
A vertex-colored graph $G$ is {\it rainbow vertex-connected} if any pair of vertices in $G$ are connected by a path whose internal vertices have distinct colors, which was introduced by Krivelevich and Yuster. The {\it rainbow vertex-connection number} of a connected graph $G$, denoted by $rvc(G)$, is the smallest number of colors that are needed in order to make $G$ rainbow vertex-connected. In a previous paper we showed that it is NP-Complete to decide whether a given graph $G$ has $rvc(G)=2$. In this paper we show that for every integer $k\geq 2$, deciding whether $rvc(G)\leq k$ is NP-Hard. We also show that for any fixed integer $k\geq 2$, this problem belongs to NP-class, and so it becomes NP-Complete., Comment: 10 pages
- Published
- 2011
45. Nordhaus-Gaddum-type theorem for the rainbow vertex-connection number of a graph
- Author
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Chen, Lily, Li, Xueliang, and Liu, Mengmeng
- Subjects
Mathematics - Combinatorics ,05C15, 05C40 - Abstract
A vertex-colored graph $G$ is rainbow vertex-connected if any pair of distinct vertices are connected by a path whose internal vertices have distinct colors. The rainbow vertex-connection number of $G$, denoted by $rvc(G)$, is the minimum number of colors that are needed to make $G$ rainbow vertex-connected. In this paper we give a Nordhaus-Gaddum-type result of the rainbow vertex-connection number. We prove that when $G$ and $\bar{G}$ are both connected, then $2\leq rvc(G)+rvc(\bar{G})\leq n-1$. Examples are given to show that both the upper bound and the lower bound are best possible for all $n\geq 5$., Comment: 6 pages
- Published
- 2011
46. The complexity of determining the rainbow vertex-connection of graphs
- Author
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Chen, Lily, Li, Xueliang, and Shi, Yongtang
- Subjects
Mathematics - Combinatorics ,Computer Science - Discrete Mathematics ,05C15, 05C40, 68Q25, 68R10 - Abstract
A vertex-colored graph is {\it rainbow vertex-connected} if any two vertices are connected by a path whose internal vertices have distinct colors, which was introduced by Krivelevich and Yuster. The {\it rainbow vertex-connection} of a connected graph $G$, denoted by $rvc(G)$, is the smallest number of colors that are needed in order to make $G$ rainbow vertex-connected. In this paper, we study the computational complexity of vertex-rainbow connection of graphs and prove that computing $rvc(G)$ is NP-Hard. Moreover, we show that it is already NP-Complete to decide whether $rvc(G)=2$. We also prove that the following problem is NP-Complete: given a vertex-colored graph $G$, check whether the given coloring makes $G$ rainbow vertex-connected., Comment: 7 pages
- Published
- 2011
47. Nordhaus-Gaddum-type theorem for rainbow connection number of graphs
- Author
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Chen, Lily, Li, Xueliang, and Lian, Huishu
- Subjects
Mathematics - Combinatorics ,05C15, 05C40 - Abstract
An edge-colored graph $G$ is rainbow connected if any two vertices are connected by a path whose edges have distinct colors. The rainbow connection number of $G$, denoted $rc(G)$, is the minimum number of colors that are used to make $G$ rainbow connected. In this paper we give a Nordhaus-Gaddum-type result for the rainbow connection number. We prove that if $G$ and $\bar{G}$ are both connected, then $4\leq rc(G)+rc(\bar{G})\leq n+2$. Examples are given to show that the upper bound is sharp for all $n\geq 4$, and the lower bound is sharp for all $n\geq 8$. For the rest small $n=4,5,6,7,$ we also give the sharp bounds., Comment: 13 pages
- Published
- 2010
48. Risk Factors and Outcomes of Melanoma in Children and Adolescents: A Retrospective Multicenter Study
- Author
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Hawryluk, Elena B., primary, Moustafa, Danna, additional, Barry, Kelly K., additional, Bahrani, Eman, additional, Reusch, Diana B., additional, Brahmbhatt, Meera, additional, Chen, Lily, additional, Coughlin, Carrie C., additional, Gerami, Pedram, additional, Haddock, Ellen, additional, Hook, Kristen, additional, Humphrey, Stephen R., additional, Kao, Pei-Chi, additional, Kruse, Lacey L., additional, Lawley, Leslie P., additional, Mansour, Danny, additional, Marghoob, Ashfaq A., additional, Nguyen, Julie, additional, Phung, Thuy L., additional, Pope, Elena, additional, Raisanen, Tom, additional, Robinson, Sarah, additional, Rogers, Tova, additional, Schmidt, Birgitta, additional, Tran, Gary, additional, Travis, Kate, additional, Wolner, Zachary, additional, London, Wendy B., additional, Eichenfield, Lawrence F., additional, and Huang, Jennifer, additional
- Published
- 2023
- Full Text
- View/download PDF
49. International study of the Complex Stress Reaction Syndrome: Implications for transdiagnostic clinical practice
- Author
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Goldstein Ferber, Sari, primary, Weller, Aron, additional, Hayes, Adele M, additional, Vannorsdall, Tracy D, additional, Ajlouni, Yaroup, additional, Qudah, Mo'nes, additional, Zalsman, Gil, additional, Shoval, Gal, additional, Jannini, Tommaso Benedetto, additional, Fiedler, Racquel, additional, Chen, Lily X, additional, Shayani, Danielle R, additional, Kachuki Dory, Elin, additional, Stolowicz-Melman, Dana, additional, Evans, Connor, additional, Trow, Megan, additional, Di Lorenzo, Giorgio, additional, and Rossi, Rodolfo, additional
- Published
- 2023
- Full Text
- View/download PDF
50. Class II Malocclusion with 14.0 mm Overjet Treated with Maxillary Second Molar Extractions and Bone Screws
- Author
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Chang, Chris H., primary, Sung, Debby Y.W., additional, Chen, Lily Y., additional, and Roberts, Wilber Eugene, additional
- Published
- 2023
- Full Text
- View/download PDF
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