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61,438 results on '"Patti A"'

110. The role of ethnicity and native-country income in multiple sclerosis: the Italian multicentre study (MS-MigIT)

Author

Bianchi, Alessia, Matranga, Domenica, Patti, Francesco, Maniscalco, Laura, Pilotto, Silvy, Di Filippo, Massimiliano, Zaffaroni, Mauro, Annovazzi, Pietro, Bertolotto, Antonio, Gasperini, Claudio, Quartuccio, Esmeralda, Centonze, Diego, Fantozzi, Roberta, Gajofatto, Alberto, Gobbin, Francesca, Landi, Doriana, Granella, Franco, Buccafusca, Maria, Marfia, Girolama Alessandra, Chisari, Clara, Naldi, Paola, Bergamaschi, Roberto, Greco, Giacomo, Zarbo, Ignazio Roberto, Rizzo, Vincenzo, Ulivelli, Monica, Bezzini, Daiana, Florio, Lucia, Turazzini, Michelangelo, Di Gregorio, Maria, Pugliatti, Maura, Salemi, Giuseppe, and Ragonese, Paolo

Published
2024
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111. Late-onset multiple sclerosis: disability trajectories in relapsing–remitting patients of the Italian MS Registry

Author

Lorefice, Lorena, Ferraro, Ottavia Elena, Fenu, Giuseppe, Amato, Maria Pia, Bresciamorra, Vincenzo, Conte, Antonella, De Luca, Giovanna, Ferraro, Diana, Filippi, Massimo, Gazzola, Paola, Iaffaldano, Pietro, Inglese, Matilde, Lus, Giacomo, Marfia, Girolama Alessandra, Patti, Francesco, Pesci, Ilaria, Salemi, Giuseppe, Trojano, Maria, Zaffaroni, Mauro, Monti, Maria Cristina, and Cocco, Eleonora

Published
2024
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115. Evaluation of drivers of treatment switch in relapsing multiple sclerosis: a study from the Italian MS Registry

Author

Iaffaldano, Pietro, Lucisano, Giuseppe, Guerra, Tommaso, Patti, Francesco, Cocco, Eleonora, De Luca, Giovanna, Brescia Morra, Vincenzo, Pozzilli, Carlo, Zaffaroni, Mauro, Ferraro, Diana, Gasperini, Claudio, Salemi, Giuseppe, Bergamaschi, Roberto, Lus, Giacomo, Inglese, Matilde, Romano, Silvia, Bellantonio, Paolo, Di Monte, Elisabetta, Maniscalco, Giorgia Teresa, Conte, Antonella, Lugaresi, Alessandra, Vianello, Marika, Torri Clerici, Valentina Liliana Adriana, Di Sapio, Alessia, Pesci, Ilaria, Granella, Franco, Totaro, Rocco, Marfia, Girolama Alessandra, Danni, Maura Chiara, Cavalla, Paola, Valentino, Paola, Aguglia, Umberto, Montepietra, Sara, Ferraro, Elisabetta, Protti, Alessandra, Spitaleri, Daniele, Avolio, Carlo, De Riz, Milena, Maimone, Davide, Cavaletti, Guido, Gazzola, Paola, Tedeschi, Gioacchino, Sessa, Maria, Rovaris, Marco, Di Palma, Franco, Gatto, Maurizia, Cargnelutti, Daniela, De Robertis̄, Francesca, Logullo, Francesco Ottavio, Rini, Augusto, Meucci, Giuseppe, Ardito, Bonaventura, Banfi, Paola, Nasuelli, Davide, Paolicelli, Damiano, Rocca, Maria Assunta, Portaccio, Emilio, Chisari, Clara Grazia, Fenu, Giuseppe, Onofrj, Marco, Carotenuto, Antonio, Ruggieri, Serena, Tortorella, Carla, Ragonese, Paolo, Nica, Mihaela, Amato, Maria Pia, Filippi, Massimo, and Trojano, Maria

Published
2024
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117. Using Objective Structured Teaching Encounters (OSTEs) to prepare chief residents to be emotionally intelligent leaders

Author

Sara Ann Cerrone, Patti Adelman, Salaahuddin Akbar, Andrew C. Yacht, and Alice Fornari

Subjects
Leadership training, chief residents, graduate medical education, OSTEs, emotional intelligence, Special aspects of education, LC8-6691, Medicine (General), R5-920
Abstract

Background: Chief Residents must lead, manage and mentor a diverse and often large group of residents, however there is a lack of formal leadership training throughout graduate medical education. Objective: Development of a 3-part Chief Resident (CR) Program focused on leading, managing and mentoring. Design: Each participant completes an Emotional Intelligence (EI) Inventory prior to the day-long event. Participants receive their EI scores at the beginning of the program, which features interactive sessions on leadership, management, and feedback skills. The program then reinforces the application of their new knowledge about EI through a four station OSTE (Observed Structured Teaching Encounter). CRs practice feedback and coaching skills in a simulated environment where they need to provide the context of formative feedback to a standardized resident. Results: The aggregated mean pre-session EI score for all participants was 76.9 (an ideal score is >85). An independent-samples t-test compared the CRs’ leadership and feedback performance on their first and second OSTE performance within a single afternoon session. There was a significant difference between the first OSTE performance (M = 47.92, SD = 7.8) and the second OSTE performance (M = 51.22, SD = 6.9); t (68) = 1.99, p = 0.006. These results suggest that participating in multiple OSTEs positively reinforces the core interpersonal and communication skills discussed in the didactic and practiced in the interactive portions of the program. Conclusion: The low mean pre-session EI score achieved by our participants supports the idea that CRs enter their new roles with a level of EI that can be enhanced. CRs had an overall positive reaction to EI and its application to the core skills addressed in the program, highlighting the fact that similar programs could be used to train early career physicians to be more skilled and comfortable with leading, managing and mentoring. Abbreviations: CR: Chief resident; EI: Emotional intelligence; GME: Graduate medical education; OSTE: Objective structured teaching encounter

Published
2017
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118. Suppression and resolution of autoimmune arthritis by rhesus θ-defensin-1, an immunomodulatory macrocyclic peptide.

Author

Justin B Schaal, Dat Q Tran, Akshay Subramanian, Reshma Patel, Teresina Laragione, Kevin D Roberts, Katie Trinh, Prasad Tongaonkar, Patti A Tran, Dmitriy Minond, Gregg B Fields, Paul Beringer, André J Ouellette, Percio S Gulko, and Michael E Selsted

Subjects
Medicine, Science
Abstract

θ-defensins constitute a family of macrocyclic peptides expressed exclusively in Old World monkeys. The peptides are pleiotropic effectors of innate immunity, possessing broad spectrum antimicrobial activities and immunoregulatory properties. Here we report that rhesus θ-defensin 1 (RTD-1) is highly effective in arresting and reversing joint disease in a rodent model of rheumatoid arthritis (RA). Parenteral RTD-1 treatment of DA/OlaHsd rats with established pristane-induced arthritis (PIA) rapidly suppressed joint disease progression, restored limb mobility, and preserved normal joint architecture. RTD-1 significantly reduced joint IL-1β levels compared with controls. RTD-1 dose-dependently inhibited fibroblast-like synoviocyte (FLS) invasiveness and FLS IL-6 production. Consistent with the inhibition of FLS invasiveness, RTD-1 was a potent inhibitor of arthritogenic proteases including ADAMs 17 and 10 which activate TNFα, and inhibited matrix metalloproteases, and cathepsin K. RTD-1 was non-toxic, non-immunogenic, and effective when administered as infrequently as once every five days. Thus θ-defensins, which are absent in humans, have potential as retroevolutionary biologics for the treatment of RA.

Published
2017
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119. Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies

Author

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

Published
2023
Full Text
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120. Factors That Influence Families' Search for Child Care and Early Education. Research Highlight. OPRE Report #2022-70

Author

Administration for Children and Families (DHHS), Office of Planning, Research and Evaluation (OPRE), Child Trends, and Banghart, Patti

Abstract

Various factors influence families' search for child care and early education (CCEE). These factors can be grouped into four dimensions of access: (1) reasonable effort to find CCEE; (2) affordability; (3) meets parents' needs; and (4) supports child development. All states provide a consumer education website to help inform families' child care search, but families may have difficulty finding and navigating these sites. Improvements to states' consumer education website can better promote equitable access to information. This highlight draws key findings from two reports focused on families' search for child care and states' efforts to provide parents with consumer education to help inform their child care search process: (1) "Parents' Reasons for Searching for Early Care and Education and Results of Search: An Analysis Using the Access Framework" (ED613557); and (2) "Supporting Families' Access to Child Care and Early Education: A Descriptive Profile of States' Consumer Education Websites" (ED616310). [This report was produced through the Child Care and Early Education Policy and Research Analysis (CCEEPRA) project.]

Published
2022

121. Emotional Intelligence for School Leaders

Author

Patti, Janet A., Stern, Robin S., Patti, Janet A., and Stern, Robin S.

Abstract

A handbook that helps educational leaders hone the social and emotional skills essential to promoting positive school culture and navigating their complex jobs. In this profoundly useful work, Janet Patti and Robin Stern make the case for social-emotional learning (SEL) as part of a critical skill set for K-12 school leaders, and they offer coaching on how to integrate emotional intelligence into leadership practices. Patti and Stern draw on recent research from psychology and education, as well as their combined 40 years of experience in the fields of SEL and leadership training, to highlight the many benefits of SEL-focused professional development for superintendents, principals, and aspiring school leaders. They also give readers the tools to develop their own SEL skills. "Emotional Intelligence for School Leaders' outlines key SEL skills, from mindfulness and self-management to relationship building and conflict resolution, and details how each can be applied in a leadership context. Case studies of a variety of successful educational leaders who employ positive psychology in their work illustrate the strategies they used to cultivate and apply their own SEL skills. This encouraging book underscores how teams that lead with self-awareness and empathy can promote well-being, foster resilience, and prevent burnout among educators and ultimately increase equity in the education system. [Foreword by Daniel Goleman. Afterword by Marc Brackett.]

Published
2023

123. Guinea worm disease: A neglected diseases on the verge of eradication

Author

Pellegrino, Carmen, Patti, Giulia, Camporeale, Michele, Belati, Alessandra, Novara, Roberta, Papagni, Roberta, Frallonardo, Luisa, Diella, Lucia, Guido, Giacomo, De Vita, Elda, Totaro, Valentina, Segala, Francesco Vladimiro, Veronese, Nicola, Cotugno, Sergio, Bavaro, Davide Fiore, Putoto, Giovanni, Bevilacqua, Nazario, Castellani, Chiara, Nicastri, Emanuele, Saracino, Annalisa, and Gennaro, Francesco Di

Published
2022

124. Mapping the transcriptional landscape of human white and brown adipogenesis using single-nuclei RNA-seq.

Author

Gupta, Anushka, Efthymiou, Vissarion, Kodani, Sean D, Shamsi, Farnaz, Patti, Mary Elizabeth, Tseng, Yu-Hua, and Streets, Aaron

Subjects
Animals, Humans, Mice, Repressor Proteins, Cell Differentiation, Adipogenesis, Adipose Tissue, Brown, Adipose Tissue, White, RNA-Seq, Brown fat, Single-nuclei RNA-seq, White fat, Biotechnology, Genetics, Nutrition, Obesity, Human Genome, Underpinning research, 1.1 Normal biological development and functioning, Biochemistry and Cell Biology, Physiology
Abstract

Adipogenesis is key to maintaining organism-wide energy balance and healthy metabolic phenotype, making it critical to thoroughly comprehend its molecular regulation in humans. By single-nuclei RNA-sequencing (snRNA-seq) of over 20,000 differentiating white and brown preadipocytes, we constructed a high-resolution temporal transcriptional landscape of human white and brown adipogenesis. White and brown preadipocytes were isolated from a single individual's neck region, thereby eliminating inter-subject variability across two distinct lineages. These preadipocytes were also immortalized to allow for controlled, in vitro differentiation, allowing sampling of distinct cellular states across the spectrum of adipogenic progression. Pseudotemporal cellular ordering revealed the dynamics of ECM remodeling during early adipogenesis, and lipogenic/thermogenic response during late white/brown adipogenesis. Comparison with adipogenic regulation in murine models Identified several novel transcription factors as potential targets for adipogenic/thermogenic drivers in humans. Among these novel candidates, we explored the role of TRPS1 in adipocyte differentiation and showed that its knockdown impairs white adipogenesis in vitro. Key adipogenic and lipogenic markers revealed in our analysis were applied to analyze publicly available scRNA-seq datasets; these confirmed unique cell maturation features in recently discovered murine preadipocytes, and revealed inhibition of adipogenic expansion in humans with obesity. Overall, our study presents a comprehensive molecular description of both white and brown adipogenesis in humans and provides an important resource for future studies of adipose tissue development and function in both health and metabolic disease state.

Published
2023

125. Uridine-derived ribose fuels glucose-restricted pancreatic cancer

Author

Nwosu, Zeribe C, Ward, Matthew H, Sajjakulnukit, Peter, Poudel, Pawan, Ragulan, Chanthirika, Kasperek, Steven, Radyk, Megan, Sutton, Damien, Menjivar, Rosa E, Andren, Anthony, Apiz-Saab, Juan J, Tolstyka, Zachary, Brown, Kristee, Lee, Ho-Joon, Dzierozynski, Lindsey N, He, Xi, PS, Hari, Ugras, Julia, Nyamundanda, Gift, Zhang, Li, Halbrook, Christopher J, Carpenter, Eileen S, Shi, Jiaqi, Shriver, Leah P, Patti, Gary J, Muir, Alexander, Pasca di Magliano, Marina, Sadanandam, Anguraj, and Lyssiotis, Costas A

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Nutrition, Rare Diseases, Pancreatic Cancer, Diabetes, Digestive Diseases, Aetiology, 2.1 Biological and endogenous factors, Animals, Mice, Carcinoma, Pancreatic Ductal, Pancreatic Neoplasms, Ribose, Tumor Microenvironment, Uridine, Glucose, Cell Division, Cell Line, Tumor, MAP Kinase Signaling System, Uridine Phosphorylase, Humans, General Science & Technology
Abstract

Pancreatic ductal adenocarcinoma (PDA) is a lethal disease notoriously resistant to therapy1,2. This is mediated in part by a complex tumour microenvironment3, low vascularity4, and metabolic aberrations5,6. Although altered metabolism drives tumour progression, the spectrum of metabolites used as nutrients by PDA remains largely unknown. Here we identified uridine as a fuel for PDA in glucose-deprived conditions by assessing how more than 175 metabolites impacted metabolic activity in 21 pancreatic cell lines under nutrient restriction. Uridine utilization strongly correlated with the expression of uridine phosphorylase 1 (UPP1), which we demonstrate liberates uridine-derived ribose to fuel central carbon metabolism and thereby support redox balance, survival and proliferation in glucose-restricted PDA cells. In PDA, UPP1 is regulated by KRAS-MAPK signalling and is augmented by nutrient restriction. Consistently, tumours expressed high UPP1 compared with non-tumoural tissues, and UPP1 expression correlated with poor survival in cohorts of patients with PDA. Uridine is available in the tumour microenvironment, and we demonstrated that uridine-derived ribose is actively catabolized in tumours. Finally, UPP1 deletion restricted the ability of PDA cells to use uridine and blunted tumour growth in immunocompetent mouse models. Our data identify uridine utilization as an important compensatory metabolic process in nutrient-deprived PDA cells, suggesting a novel metabolic axis for PDA therapy.

Published
2023

126. Clinical features and imaging findings in a case of Capgras syndrome

Author

Luca M, Bordone A, Luca A, Patti A, Sortino G, and Calandra C

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Maria Luca,1 Andrea Bordone,1 Antonina Luca,2 Andrea Patti,1 Giuseppe Sortino,3 Carmela Calandra11Department of Medical and Surgery Specialties, Psychiatry Unit, 2Department GF Ingrassia, Section of Neuroscience, 3Department of Diagnostic Imaging, Radiology Unit, University Hospital Policlinico-Vittorio Emanuele, Catania, Sicily, ItalyAbstract: Capgras syndrome consists of the delusional belief that a person or persons have been replaced by doubles or impostors. It can occur in the context of both psychiatric and organic illness, and seems to be related to lesions of the bifrontal and right limbic and temporal regions. Indeed, magnetic resonance imaging has revealed brain lesions in patients suffering from Capgras syndrome. This case study reports the findings of a thorough diagnostic evaluation in a woman suffering from Capgras syndrome and presenting with the following clinical peculiarities: obsessive modality of presentation of the delusional ideation, intrusiveness of such ideation (that even disturbed her sleep), as well as a sense of alienation and utter disgust towards the double. These characteristics bring to mind the typical aspects of obsessive-compulsive disorder. Neuroanatomic investigation, through magnetic resonance imaging, performed on this patient showed alteration of the bilateral semioval centers, which are brain regions associated with the emotion of disgust and often show alterations in subjects suffering from obsessive-compulsive disorder. Hence, neuroimaging allows researchers to put forward the hypothesis of a common neuroanatomic basis for Capgras syndrome and obsessive-compulsive disorder, at least for cases in which the delusional ideation is associated with deep feelings of disgust and presents with a certain pervasiveness.Keywords: Capgras syndrome, magnetic resonance imaging, electroencephalography, obsessive-compulsive disorder, semioval centers

Published
2013

128. The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers

Author

Stranisci, Marco Antonio, Spillo, Giuseppe, Musto, Cataldo, Patti, Viviana, and Damiano, Rossana

Subjects
Computer Science - Computation and Language
Abstract

Digital media have enabled the access to unprecedented literary knowledge. Authors, readers, and scholars are now able to discover and share an increasing amount of information about books and their authors. Notwithstanding, digital archives are still unbalanced: writers from non-Western countries are less represented, and such a condition leads to the perpetration of old forms of discrimination. In this paper, we present the Under-Represented Writers Knowledge Graph (URW-KG), a resource designed to explore and possibly amend this lack of representation by gathering and mapping information about works and authors from Wikidata and three other sources: Open Library, Goodreads, and Google Books. The experiments based on KG embeddings showed that the integrated information encoded in the graph allows scholars and users to be more easily exposed to non-Western literary works and authors with respect to Wikidata alone. This opens to the development of fairer and effective tools for author discovery and exploration.

Published
2022

129. Power Loss Modelling of GaN HEMT based 3L ANPC Three Phase Inverter for different PWM Techniques

Author

Cacciato, M., Aiello, G., Gennaro, F., Mita, S., Patti, D., Scelba, G., and Sujeeth, A.

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

The paper presents a straightforward modelling approach to compute the power loss distribution in GaN HEMT based three phase and three level (3L) active neutral point clamped (ANPC) inverters, for different pulse width modulated techniques. Conduction and switching losses averaged over each PWM switching period are analytically computed by starting from the operating conditions of the AC load and data of GaN power devices. The accuracy of the proposed analytical approach is evaluated through a circuit based power electronics simulation tool, applied to different carrier-based PWM strategies., Comment: 10 pages, 13 figures, 24th European Conference on Power Electronics and Applications ( IEEE EPE 2022 ECCE Europe). This work has been carried out in the framework of the ECSEL-JU Project GaN4AP (Gallium Nitride for Advanced Power Applications) - Grant Agreement No.101007310

Published
2022

130. THE AMERICAN LIBRARY ASSOCIATION: Advancing Library Science and Safeguarding Information Since the 19th Century: A Brief History of ALA for National Library Week, April 7-13, 2024

Author

Gibbons, Patti

Subjects
Libraries -- History, Business, Library and information science, American Library Association -- History
Abstract

INTRODUCTION History: Preliminary Beginnings ala.org/aboutala/node/230 The ALA Washington Office ala.org/ala/washoff/contactwo/contactwo.htm Library Statistics and Figures: Number of Libraries in the United States libguides.ala.org/c.php?g=751692&p=9132142 'The Development of Public Libraries in the United [...]

Published
2024

142. Supporting Families' Access to Child Care and Early Education: A Descriptive Profile of States' Consumer Education Websites. OPRE Research Report 2021-161

Author

Administration for Children and Families (DHHS), Office of Planning, Research and Evaluation (OPRE), Child Trends, Banghart, Patti, Hill, Zoelene, Guerra, Gabriella, Covington, Denise, and Tout, Kathryn

Abstract

For most families, the process of finding and paying for child care is challenging, particularly for families with low incomes. Access to information about child care and early education options can provide a critical support for families as they engage in the search process. Consumer education can help raise families' awareness about the range of early care and education (ECE) options available. This descriptive study explored the ECE-related consumer education activities described in the FY 2019-2021 Child Care and Development Fund (CCDF) State Plans and the types of consumer education information available on states' ECE consumer education websites (i.e., states' official consumer education website, Quality Rating and Improvement System (QRIS) website, and child care search engines). Using a multi-dimensional family centered definition of access, the authors sought to understand how states' ECE consumer education websites support access to child care information. The authors examined the extent to which information is easy to find, addresses affordability, helps parents understand how ECE supports child development, and addresses parents' needs. This study addressed the following two research questions: (1) What is the current status of state ECE consumer education efforts (described in CCDF State Plans and websites) in providing information to families, with attention to the features and information commonly included across consumer education websites?; and (2) To what extent do existing ECE consumer education plans and websites support access to child care by offering useful information and resources for families (operationalized using the family-centered, multi-dimensional definition of access)? [This report was produced through the Child Care and Early Education Policy and Research Analysis (CCEEPRA) project.]

Published
2021

143. Kinetics of isotropic to string-like phase switching in electrorheological fluids of nanocubes

Author

Tonti, Luca, Daza, Fabián Alonso García, and Patti, Alessandro

Subjects
Condensed Matter - Soft Condensed Matter
Abstract

Applying an electric field to polarisable colloidal particles, whose permittivity differs from that of the dispersing medium, generates induced dipoles that promote the formation of string-like clusters and ultimately alter the fluid mechanical and rheological properties. Complex systems of this kind, whose electric-field-induced rheology can be manipulated between that of viscous and elastic materials, are referred to as electrorheological fluids. By dynamic Monte Carlo simulations, we investigate the dynamics of self-assembly of dielectric nanocubes upon application of an electric field. Switching the field on induces in-particle dipoles and, at sufficiently large field intensity, leads to stringlike clusters of variable length across a spectrum of volume fractions. The kinetics of switching from the isotropic to the string-like state suggests the existence of two mechanisms, the first related to the nucleation of chains and the second to the competition between further merging and separation. We characterise the transient unsteady state by following the chain length distribution and analysing the probability of transition of nanocubes from one chain to another over time. Additionally, we employ passive microrheology to gain an insight into the effect of the electric field on the viscoelastic response of our model fluid. Not only do we observe that it becomes more viscoelastic in the presence of the field, but also that its viscoelasticity assumes an anisotropic signature, with both viscous and elastic moduli in planes perpendicular to the external field being larger than those along it., Comment: The following article has been accepted by The Juornal of Chemical Physics. After it is published, it will be found at Link

Published
2022
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144. Expressive Quantum Perceptrons for Quantum Neuromorphic Computing

Author

Bravo, Rodrigo Araiza, Najafi, Khadijeh, Patti, Taylor L., Gao, Xun, and Yelin, Susanne F.

Subjects
Quantum Physics, Physics - Atomic Physics
Abstract

Quantum neuromorphic computing (QNC) is a sub-field of quantum machine learning (QML) that capitalizes on inherent system dynamics. As a result, QNC can run on contemporary, noisy quantum hardware and is poised to realize challenging algorithms in the near term. One key issue in QNC is the characterization of the requisite dynamics for ensuring expressive quantum neuromorphic computation. We address this issue by proposing a building block for QNC architectures, what we call quantum perceptrons (QPs). Our proposed QPs compute based on the analog dynamics of interacting qubits with tunable coupling constants. We show that QPs are, with restricted resources, a quantum equivalent to the classical perceptron, a simple mathematical model for a neuron that is the building block of various machine learning architectures. Moreover, we show that QPs are theoretically capable of producing any unitary operation. Thus, QPs are computationally more expressive than their classical counterparts. As a result, QNC architectures built our of QPs are, theoretically, universal. We introduce a technique for mitigating barren plateaus in QPs called entanglement thinning. We demonstrate QPs' effectiveness by applying them to numerous QML problems, including calculating the inner products between quantum states, energy measurements, and time-reversal. Finally, we discuss potential implementations of QPs and how they can be used to build more complex QNC architectures.

Published
2022

145. Towards a scalable discrete quantum generative adversarial neural network

Author

Chaudhary, Smit, Huembeli, Patrick, MacCormack, Ian, Patti, Taylor L., Kossaifi, Jean, and Galda, Alexey

Subjects
Quantum Physics
Abstract

We introduce a fully quantum generative adversarial network intended for use with binary data. The architecture incorporates several features found in other classical and quantum machine learning models, which up to this point had not been used in conjunction. In particular, we incorporate noise reuploading in the generator, auxiliary qubits in the discriminator to enhance expressivity, and a direct connection between the generator and discriminator circuits, obviating the need to access the generator's probability distribution. We show that, as separate components, the generator and discriminator perform as desired. We empirically demonstrate the expressive power of our model on both synthetic data as well as low energy states of an Ising model. Our demonstrations suggest that the model is not only capable of reproducing discrete training data, but also of potentially generalizing from it., Comment: 11 pages, 11 figures, GitLab repository

Published
2022

146. Dynamics in field-induced biaxial nematic liquid crystals of board-like particles

Author

Rodríguez-Rivas, Álvaro, Patti, Alessandro, and Cuetos, Alejandro

Subjects
Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics
Abstract

Biaxial nematic ($N_B$) liquid crystals have been indicated as promising candidates for the design of next-generation displays with novel electro-optical properties and faster switching times. While at the molecular scale their existence is still under debate, experimental evidence, supported by theory and simulation, has unambiguously proved that suitable colloidal particles can indeed form $N_B$ fluids under specific conditions. While this discovery has sparked a widespread interest in the characterisation of the phase behaviour of $N_B$ liquid crystals, significantly less attention has been devoted to the study of their transport properties. To bridge this gap, by Dynamic Monte Carlo simulations we have investigated the equilibrium dynamics of field-induced $N_B$ phases comprising monodisperse hard cuboids. In particular, we calculated the long-time self-diffusion coefficients of cuboids over a wide range of anisotropies, spanning prolate to oblate geometries. Additionally, we have compared these diffusivities with those that, upon switching the external field off, are measured in the thermodynamically-stable isotropic or uniaxial nematic phases at the same density. Our results indicate that while prolate cuboids diffuse significantly faster in biaxial nematics than in less ordered fluids, we do not observe such an increase with oblate cuboids at high packing fractions. We show that these changes are most likely due to the field-induced freezing of the axes perpendicular to the nematic director, along with a substantial increase in the ordering of the resulting $N_B$ phase., Comment: 11 pages, 6 figures

Published
2022

147. Solid State Detectors and Tracking for Snowmass

Author

Affolder, A., Apresyan, A., Worm, S., Albrow, M., Ally, D., Ambrose, D., Anderssen, E., Apadula, N., Asenov, P., Armstrong, W., Artuso, M., Barbier, A., Barletta, P., Bauerdick, L., Berry, D., Bomben, M., Boscardin, M., Brau, J., Brooks, W., Breidenbach, M., Buckley, J., Cairo, V., Caputo, R., Carpenter, L., Centis-Vignali, M., Cerullo, M., Collu, A., Chlebana, F., Dalla-Betta, G. -F., Demarteau, M., Deptuch, G., Di Petrillo, K., D'Amen, G., Dragone, A., Fourches, N. T., Garcia-Sciveres, M., Giacomini, G., Gingu, C., Graf, N., Grace, C., Griso, S., Greiner, L., Haber, C., Haller, G., Harris, K., Heim, T., Heinz, U., Heller, R., Hedges, M. T., Herbst, R., Hoeferkamp, M. R., Holmes, T., Holland, S. E., Hsu, S. -C., Islam, R., Jadhav, M., Jindariani, S., Joosten, S., Jung, A., Karmarkar, S., Kenney, C., Kierans, C., Kim, J., Kim, S., Klein, S., Koshy, A., Krizka, K., Lai, A., Lee, L., Linssen, L., Lipton, R., Liu, T., Madrid, C., Mahajan, T., Markiewicz, T., Markovic, B., Mazza, S., Mazziotta, M., Mei, Y., Merkel, P., Metcalfe, J., Meziani, Z. -E., Minns, A., Moscatelli, F., Murat, P., Muth, J., Nachman, B., Nahn, S., Narain, M., Narayanan, E. A., Nelson, T., Nielsen, J., Oktyabrsky, S., Ott, J., Palomo, F. R., Passeri, D., Patti, R., Peltola, T., Pena, C., Peng, C., Renard, C., Reimer, P., Rogan, C., Rota, L., Sadrozinski, H., Segal, J., Schwartzman, A., Schumm, B., Scott, M., Seidel, S., Seiden, A., Sekely, B., Shi, X., Sichtermann, E., Sinev, N., Sonneveld, J., Spiegel, L., Steinhebel, A., Strom, D., Sultan, D. M. S., Sumant, A., Tokranov, V., Tricoli, A., Trischuk, W., Tumasyan, A., Uplegger, L., Vernieri, C., Wang, H., Wagenknecht, P., Weber, H., Xie, S., Yakimov, M., Ye, Z., Young, C., and Zurek, M.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

Tracking detectors are of vital importance for collider-based high energy physics (HEP) experiments. The primary purpose of tracking detectors is the precise reconstruction of charged particle trajectories and the reconstruction of secondary vertices. The performance requirements from the community posed by the future collider experiments require an evolution of tracking systems, necessitating the development of new techniques, materials and technologies in order to fully exploit their physics potential. In this article we summarize the discussions and conclusions of the 2022 Snowmass Instrumentation Frontier subgroup on Solid State and Tracking Detectors (Snowmass IF03)., Comment: for the Snowmass Instrumentation Frontier Solid State Detector and Tracking community

Published
2022

148. Active microrheology of colloidal suspensions of hard cuboids

Author

Rafael, Effran Mirzad, Tonti, Luca, Daza, Fabián A. García, and Patti, Alessandro

Subjects
Condensed Matter - Soft Condensed Matter, Physics - Applied Physics
Abstract

By performing dynamic Monte Carlo simulations, we investigate the microrheology of isotropic suspensions of hard-core colloidal cuboids. In particular, we infer the local viscoelastic behaviour of these fluids by studying the dynamics of a probe spherical particle that is incorporated in the host phase and is dragged by an external force. This technique, known as active microrheology, allows one to characterise the microscopic response of soft materials upon application of a constant force, whose intensity spans here three orders of magnitude. By tuning the geometry of cuboids from oblate to prolate as well as the system density, we observe different responses that are quantified by measuring the effective friction perceived by the probe particle. The resulting friction coefficient exhibits a linear regime at forces that are much weaker and larger than the thermal forces, whereas a non-linear, force-thinning regime is observed at intermediate force intensities., Comment: Accepted for publication in Physical Review E

Published
2022

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