20,352 results on '"A. Hoffer"'
Search Results
152. Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data.
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Simon Warchol, Robert Krüger, Ajit Johnson Nirmal, Giorgio Gaglia, Jared Jessup, Cecily C. Ritch, John Hoffer, Jeremy Muhlich, Megan L. Burger, Tyler Jacks, Sandro Santagata, Peter K. Sorger, and Hanspeter Pfister
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- 2023
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153. Calculation of a Current Vector Trajectory for Enhanced Operation of Synchronous Reluctance Generators Including Saturation.
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Alvaro E. Hoffer, Roberto H. Moncada, Boris J. Pavez-Lazo, Juan A. Tapia, and Lasse I. E. Laurila
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- 2023
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154. Humidity and Harmonic Current Considerations for Indices to Estimate Contamination Levels on HV Insulators.
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Rodrigo J. Villalobos, Luis A. Morán, Mauricio Inostroza, Alvaro E. Hoffer, Cristian Pesce G., and Fernando Huenupán
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- 2023
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155. ClaPIM: Scalable Sequence Classification Using Processing-in-Memory.
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Marcel Khalifa, Barak Hoffer, Orian Leitersdorf, Robert Hanhan, Ben Perach, Leonid Yavits, and Shahar Kvatinsky
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- 2023
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156. Reimagining effective workplace support for health workers
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Liu, Jenny J.W., Nazarov, Anthony, Smith, Patrick, Phelps, Andrea, Forbes, David, Sadler, Nicole, Hosseiny, Fardous, Dougherty, Sarah, Peto, Rosilee, Cooper, Marion, Bilodeau, Marc, Bailey, Suzanne, Younger, Jodi, Dukelow, Adam, Jansen, Sandy, Davidson, Andrew, Vaccarino, Cara, Monaghan, Karen, Northcott, Sandra, Mohri, Linda, Hoffer, Patricia, and Richardson, J. Don
- Subjects
Workers ,Medical personnel ,Health - Abstract
The coronavirus disease 2019 (COVID-19) pandemic revealed systemic weaknesses in health-care systems worldwide. The breadth of challenges left health workers overwhelmed and overstretched, reducing their professional efficacy and causing long-term [...]
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- 2024
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157. Patterns of oral anticoagulant use and outcomes in Asian patients with atrial fibrillation: a post-hoc analysis from the GLORIA-AF Registry
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Abban, Dzifa Wosornu, Abdul, Nasser, Abud, Atilio Marcelo, Adams, Fran, Addala, Srinivas, Adragão, Pedro, Ageno, Walter, Aggarwal, Rajesh, Agosti, Sergio, Agostoni, Piergiuseppe, Aguilar, Francisco, Linares, Julio Aguilar, Aguinaga, Luis, Ahmed, Jameel, Aiello, Allessandro, Ainsworth, Paul, Aiub, Jorge Roberto, Al-Dallow, Raed, Alderson, Lisa, Aldrete Velasco, Jorge Antonio, Alexopoulos, Dimitrios, Manterola, Fernando Alfonso, Aliyar, Pareed, Alonso, David, Alves da Costa, Fernando Augusto, Amado, José, Amara, Walid, Amelot, Mathieu, Amjadi, Nima, Ammirati, Fabrizio, Andrade, Marianna, Andrawis, Nabil, Annoni, Giorgio, Ansalone, Gerardo, Ariani, M.Kevin, Arias, Juan Carlos, Armero, Sébastien, Arora, Chander, Aslam, Muhammad Shakil, Asselman, M., Audouin, Philippe, Augenbraun, Charles, Aydin, S., Ayryanova, Ivaneta, Aziz, Emad, Backes, Luciano Marcelo, Badings, E., Bagni, Ermentina, Baker, Seth H., Bala, Richard, Baldi, Antonio, Bando, Shigenobu, Banerjee, Subhash, Bank, Alan, Esquivias, Gonzalo Barón, Barr, Craig, Bartlett, Maria, Kes, Vanja Basic, Baula, Giovanni, Behrens, Steffen, Bell, Alan, Benedetti, Raffaella, Mazuecos, Juan Benezet, Benhalima, Bouziane, Bergler-Klein, Jutta, Berneau, Jean-Baptiste, Bernstein, Richard A., Berrospi, Percy, Berti, Sergio, Berz, Andrea, Best, Elizabeth, Bettencourt, Paulo, Betzu, Robert, Bhagwat, Ravi, Bhatta, Luna, Biscione, Francesco, Bisignani, Giovanni, Black, Toby, Bloch, Michael J., Bloom, Stephen, Blumberg, Edwin, Bo, Mario, Bøhmer, Ellen, Bollmann, Andreas, Bongiorni, Maria Grazia, Boriani, Giuseppe, Boswijk, D.J., Bott, Jochen, Bottacchi, Edo, Kalan, Marica Bracic, Bradman, Drew, Brautigam, Donald, Breton, Nicolas, Brouwers, P.J.A.M., Browne, Kevin, Cortada, Jordi Bruguera, Bruni, A., Brunschwig, Claude, Buathier, Hervé, Buhl, Aurélie, Bullinga, John, Cabrera, Jose Walter, Caccavo, Alberto, Cai, Shanglang, Caine, Sarah, Calò, Leonardo, Calvi, Valeria, Sánchez, Mauricio Camarillo, Candeias, Rui, Capuano, Vincenzo, Capucci, Alessandro, Caputo, Ronald, Rizo, Tatiana Cárdenas, Cardona, Francisco, Carlos da Costa Darrieux, Francisco, Duarte Vera, Yan Carlos, Carolei, Antonio, Carreño, Susana, Carvalho, Paula, Cary, Susanna, Casu, Gavino, Cavallini, Claudio, Cayla, Guillaume, Celentano, Aldo, Cha, Tae-Joon, Cha, Kwang Soo, Chae, Jei Keon, Chalamidas, Kathrine, Challappa, Krishnan, Chand, Sunil Prakash, Chandrashekar, Harinath, Chartier, Ludovic, Chatterjee, Kausik, Chavez Ayala, Carlos Antero, Cheema, Aamir, Cheema, Amjad, Chen, Lin, Chen, Shih-Ann, Chen, Jyh Hong, Chiang, Fu-Tien, Chiarella, Francesco, Chih-Chan, Lin, Cho, Yong Keun, Choi, Jong-Il, Choi, Dong Ju, Chouinard, Guy, Hoi-Fan Chow, Danny, Chrysos, Dimitrios, Chumakova, Galina, José Roberto, Eduardo Julián, Valenzuela, Chuquiure, Nica, Nicoleta Cindea, Cislowski, David J., Clay, Anthony, Clifford, Piers, Cohen, Andrew, Cohen, Michael, Cohen, Serge, Colivicchi, Furio, Collins, Ronan, Colonna, Paolo, Compton, Steve, Connolly, Derek, Conti, Alberto, Buenostro, Gabriel Contreras, Coodley, Gregg, Cooper, Martin, Coronel, Julian, Corso, Giovanni, Sales, Juan Cosín, Cottin, Yves, Covalesky, John, Cracan, Aurel, Crea, Filippo, Crean, Peter, Crenshaw, James, Cullen, Tina, Darius, Harald, Dary, Patrick, Dascotte, Olivier, Dauber, Ira, Davalos, Vicente, Davies, Ruth, Davis, Gershan, Davy, Jean-Marc, Dayer, Mark, De Biasio, Marzia, De Bonis, Silvana, De Caterina, Raffaele, De Franceschi, Teresiano, de Groot, J.R., De Horta, José, De La Briolle, Axel, Topete, Gilberto de la Pena, Vicenzo de Paola, Angelo Amato, de Souza, Weimar, de Veer, A., De Wolf, Luc, Decoulx, Eric, Deepak, Sasalu, Defaye, Pascal, Del-Carpio Munoz, Freddy, Brkljacic, Diana Delic, Deumite, N. Joseph, Di Legge, Silvia, Diemberger, Igor, Dietz, Denise, Dionísio, Pedro, Dong, Qiang, Rossi dos Santos, Fabio, Dotcheva, Elena, Doukky, Rami, D'Souza, Anthony, Dubrey, Simon, Ducrocq, Xavier, Dupljakov, Dmitry, Duque, Mauricio, Dutta, Dipankar, Duvilla, Nathalie, Duygun, A., Dziewas, Rainer, Eaton, Charles B., Eaves, William, Ebels-Tuinbeek; Clifford Ehrlich, L.A., Eichinger-Hasenauer, Sabine, Eisenberg, Steven J., El Jabali, Adnan, El Shahawy, Mahfouz, Hernandes, Mauro Esteves, Izal, Ana Etxeberria, Evonich, Rudolph, III, Evseeva, Oksana, Ezhov, Andrey, Fahmy, Raed, Fang, Quan, Farsad, Ramin, Fauchier, Laurent, Favale, Stefano, Fayard, Maxime, Fedele, Jose Luis, Fedele, Francesco, Fedorishina, Olga, Fera, Steven R., Gomes Ferreira, Luis Gustavo, Ferreira, Jorge, Ferri, Claudio, Ferrier, Anna, Ferro, Hugo, Finsen, Alexandra, First, Brian, Fischer, Stuart, Fonseca, Catarina, Almeida, Luísa Fonseca, Forman, Steven, Frandsen, Brad, French, William, Friedman, Keith, Friese, Athena, Fruntelata, Ana Gabriela, Fujii, Shigeru, Fumagalli, Stefano, Fundamenski, Marta, Furukawa, Yutaka, Gabelmann, Matthias, Gabra, Nashwa, Gadsbøll, Niels, Galinier, Michel, Gammelgaard, Anders, Ganeshkumar, Priya, Gans, Christopher, Quintana, Antonio Garcia, Gartenlaub, Olivier, Gaspardone, Achille, Genz, Conrad, Georger, Frédéric, Georges, Jean-Louis, Georgeson, Steven, Giedrimas, Evaldas, Gierba, Mariusz, Ortega, Ignacio Gil, Gillespie, Eve, Giniger, Alberto, Giudici, Michael C., Gkotsis, Alexandros, Glotzer, Taya V., Gmehling, Joachim, Gniot, Jacek, Goethals, Peter, Goldbarg, Seth, Goldberg, Ronald, Goldmann, Britta, Golitsyn, Sergey, Gómez, Silvia, Mesa, Juan Gomez, Gonzalez, Vicente Bertomeu, Gonzalez Hermosillo, Jesus Antonio, González López, Víctor Manuel, Gorka, Hervé, Gornick, Charles, Gorog, Diana, Gottipaty, Venkat, Goube, Pascal, Goudevenos, Ioannis, Graham, Brett, Greer, G. Stephen, Gremmler, Uwe, Grena, Paul G., Grond, Martin, Gronda, Edoardo, Grönefeld, Gerian, Gu, Xiang, Torres Torres, Ivett Guadalupe, Guardigli, Gabriele, Guevara, Carolina, Guignier, Alexandre, Gulizia, Michele, Gumbley, Michael, Günther, Albrecht, Ha, Andrew, Hahalis, Georgios, Hakas, Joseph, Hall, Christian, Han, Bing, Han, Seongwook, Hargrove, Joe, Hargroves, David, Harris, Kenneth B., Haruna, Tetsuya, Hayek, Emil, Healey, Jeff, Hearne, Steven, Heffernan, Michael, Heggelund, Geir, Heijmeriks, J.A., Hemels, Maarten, Hendriks, I., Henein, Sam, Her, Sung-Ho, Hermany, Paul, Hernández Del Río, Jorge Eduardo, Higashino, Yorihiko, Hill, Michael, Hisadome, Tetsuo, Hishida, Eiji, Hoffer, Etienne, Hoghton, Matthew, Hong, Kui, Hong, Suk keun, Horbach, Stevie, Horiuchi, Masataka, Hou, Yinglong, Hsing, Jeff, Huang, Chi-Hung, Huckins, David, Hughes, kathy, Huizinga, A., Hulsman, E.L., Hung, Kuo-Chun, Hwang, Gyo-Seung, Ikpoh, Margaret, Imberti, Davide, Ince, Hüseyin, Indolfi, Ciro, Inoue, Shujiro, Irles, Didier, Iseki, Harukazu, Israel, C. Noah, Iteld, Bruce, Iyer, Venkat, Jackson-Voyzey, Ewart, Jaffrani, Naseem, Jäger, Frank, James, Martin, Jang, Sung-Won, Jaramillo, Nicolas, Jarmukli, Nabil, Jeanfreau, Robert J., Jenkins, Ronald D., Sánchez, Carlos Jerjes, Jimenez, Javier, Jobe, Robert, Joen-Jakobsen, Tomas, Jones, Nicholas, Moura Jorge, Jose Carlos, Jouve, Bernard, Jung, Byung Chun, Jung, Kyung Tae, Jung, Werner, Kachkovskiy, Mikhail, Kafkala, Krystallenia, Kalinina, Larisa, Kallmünzer, Bernd, Kamali, Farzan, Kamo, Takehiro, Kampus, Priit, Kashou, Hisham, Kastrup, Andreas, Katsivas, Apostolos, Kaufman, Elizabeth, Kawai, Kazuya, Kawajiri, Kenji, Kazmierski, John F., Keeling, P., Kerr Saraiva, José Francisco, Ketova, Galina, Khaira, Ajit Singh, Khripun, Aleksey, Kim, Doo-Il, Kim, Young Hoon, Kim, Nam Ho, Kim, Dae Kyeong, Kim, Jeong Su, Kim, June Soo, Kim, Ki Seok, Kim, Jin bae, Kinova, Elena, Klein, Alexander, Kmetzo, James J., Kneller, G. Larsen, Knezevic, Aleksandar, Angela Koh, Su Mei, Koide, Shunichi, Kollias, Anastasios, Kooistra, J.A., Koons, Jay, Koschutnik, Martin, Kostis, William J., Kovacic, Dragan, Kowalczyk, Jacek, Koziolova, Natalya, Kraft, Peter, Kragten, Johannes A., Krantz, Mori, Krause, Lars, Krenning, B.J., Krikke, F., Kromhout, Z., Krysiak, Waldemar, Kumar, Priya, Kümler, Thomas, Kuniss, Malte, Kuo, Jen-Yuan, Küppers, Achim, Karla Kurrelmeyer, Kwak, Choong Hwan, Laboulle, Bénédicte, Labovitz, Arthur, Lai, Wen Ter, Lam, Andy, Lam, Yat Yin, Zanetti, Fernando Lanas, Landau, Charles, Landini, Giancarlo, Figueiredo, Estêvão Lanna, Larsen, Torben, Lavandier, Karine, LeBlanc, Jessica, Lee, Moon Hyoung, Lee, Chang-Hoon, Lehman, John, Leitão, Ana, Lellouche, Nicolas, Lelonek, Malgorzata, Lenarczyk, Radoslaw, Lenderink, T., González, Salvador León, Leong-Sit, Peter, Leschke, Matthias, Ley, Nicolas, Li, Zhanquan, Li, Xiaodong, Li, Weihua, Li, Xiaoming, Lichy, Christhoh, Lieber, Ira, Limon Rodriguez, Ramon Horacio, Lin, Hailong, Lip, Gregory Y.H., Liu, Feng, Liu, Hengliang, Esperon, Guillermo Llamas, Navarro, Nassip Llerena, Lo, Eric, Lokshyn, Sergiy, López, Amador, López-Sendón, José Luís, Lorga Filho, Adalberto Menezes, Lorraine, Richard S., Luengas, Carlos Alberto, Luke, Robert, Luo, Ming, Lupovitch, Steven, Lyrer, Philippe, Ma, Changsheng, Ma, Genshan, Madariaga, Irene, Maeno, Koji, Magnin, Dominique, Maid, Gustavo, Mainigi, Sumeet K., Makaritsis, Konstantinos, Malhotra, Rohit, Manning, Rickey, Manolis, Athanasios, Manrique Hurtado, Helard Andres, Mantas, Ioannis, Jattin, Fernando Manzur, Maqueda, Vicky, Marchionni, Niccolo, Ortuno, Francisco Marin, Santana, Antonio Martín, Martinez, Jorge, Maskova, Petra, Hernandez, Norberto Matadamas, Matsuda, Katsuhiro, Maurer, Tillmann, Mauro, Ciro, May, Erik, Mayer, Nolan, McClure, John, McCormack, Terry, McGarity, William, McIntyre, Hugh, McLaurin, Brent, Medina Palomino, Feliz Alvaro, Melandri, Francesco, Meno, Hiroshi, Menzies, Dhananjai, Mercader, Marco, Meyer, Christian, Meyer, Beat J., Miarka, Jacek, Mibach, Frank, Michalski, Dominik, Michel, Patrik, Chreih, Rami Mihail, Mikdadi, Ghiath, Mikus, Milan, Milicic, Davor, Militaru, Constantin, Minaie, Sedi, Minescu, Bogdan, Mintale, Iveta, Mirault, Tristan, Mirro, Michael J., Mistry, Dinesh, Miu, Nicoleta Violeta, Miyamoto, Naomasa, Moccetti, Tiziano, Mohammed, Akber, Nor, Azlisham Mohd, Mollerus, Michael, Molon, Giulio, Mondillo, Sergio, Moniz, Patrícia, Mont, Lluis, Montagud, Vicente, Montaña, Oscar, Monti, Cristina, Moretti, Luciano, Mori, Kiyoo, Moriarty, Andrew, Morka, Jacek, Moschini, Luigi, Moschos, Nikitas, Mügge, Andreas, Mulhearn, Thomas J., Muresan, Carmen, Muriago, Michela, Musial, Wlodzimierz, Musser, Carl W., Musumeci, Francesco, Nageh, Thuraia, Nakagawa, Hidemitsu, Nakamura, Yuichiro, Nakayama, Toru, Nam, Gi-Byoung, Nanna, Michele, Natarajan, Indira, Nayak, Hemal M., Naydenov, Stefan, Nazlić, Jurica, Cristian Nechita, Alexandru, Nechvatal, Libor, Negron, Sandra Adela, Neiman, James, Neuenschwander, Fernando Carvalho, Neves, David, Neykova, Anna, Miguel, Ricardo Nicolás, Nijmeh, George, Nizov, Alexey, Campos, Rodrigo Noronha, Nossan, Janko, Novikova, Tatiana, Nowalany-Kozielska, Ewa, Nsah, Emmanuel, Nunez Fragoso, Juan Carlos, Nurgalieva, Svetlana, Nuyens, Dieter, Nyvad, Ole, Odin de Los Rios Ibarra, Manuel, O'Donnell, Philip, O'Donnell, Martin, Oh, Seil, Oh, Yong Seog, Oh, Dongjin, O'Hara, Gilles, Oikonomou, Kostas, Olivares, Claudia, Oliver, Richard, Ruiz, Rafael Olvera, Olympios, Christoforos, omaszuk-Kazberuk, Anna, Asensi, Joaquín Osca, Jose, eena Padayattil, Padilla Padilla, Francisco Gerardo, Rios, Victoria Padilla, Pajes, Giuseppe, Pandey, Shekhar, Paparella, Gaetano, Paris, F., Park, Hyung Wook, Park, Jong Sung, Parthenakis, Fragkiskos, Passamonti, Enrico, Patel, Rajesh J., Patel, Jaydutt, Patel, Mehool, Patrick, Janice, Jimenez, Ricardo Pavón, Paz, Analía, Pengo, Vittorio, Pentz, William, Pérez, Beatriz, Pérez Ríos, Alma Minerva, Pérez-Cabezas, Alejandro, Perlman, Richard, Persic, Viktor, Perticone, Francesco, Peters, Terri K., Petkar, Sanjiv, Pezo, Luis Felipe, Pflücke, Christian, Pham, David N., Phillips, Roland T., Phlaum, Stephen, Pieters, Denis, Pineau, Julien, Pinter, Arnold, Pinto, Fausto, Pisters, R., Pivac, Nediljko, Pocanic, Darko, Podoleanu, Cristian, Politano, Alessandro, Poljakovic, Zdravka, Pollock, Stewart, Garcéa, Jose Polo, Poppert, Holger, Porcu, Maurizio, Reino, Antonio Pose, Prasad, Neeraj, Précoma, Dalton Bertolim, Prelle, Alessandro, Prodafikas, John, Protasov, Konstantin, Pye, Maurice, Qiu, Zhaohui, Quedillac, Jean-Michel, Raev, Dimitar, Raffo Grado, Carlos Antonio, Rahimi, Sidiqullah, Raisaro, Arturo, Rama, Bhola, Ramos, Ricardo, Ranieri, Maria, Raposo, Nuno, Rashba, Eric, Rauch-Kroehnert, Ursula, Reddy, Ramakota, Renda, Giulia, Reza, Shabbir, Ria, Luigi, Richter, Dimitrios, Rickli, Hans, Rieker, Werner, Vera, Tomas Ripolil, Ritt, Luiz Eduardo, Roberts, Douglas, Briones, Ignacio Rodriguez, Rodriguez Escudero, Aldo Edwin, Pascual, Carlos Rodríguez, Roman, Mark, Romeo, Francesco, Ronner, E., Roux, Jean-Francois, Rozkova, Nadezda, Rubacek, Miroslav, Rubalcava, Frank, Russo, Andrea M., Rutgers, Matthieu Pierre, Rybak, Karin, Said, Samir, Sakamoto, Tamotsu, Salacata, Abraham, Salem, Adrien, Bodes, Rafael Salguero, Saltzman, Marco A., Salvioni, Alessandro, Vallejo, Gregorio Sanchez, Fernández, Marcelo Sanmartín, Saporito, Wladmir Faustino, Sarikonda, Kesari, Sasaoka, Taishi, Sati, Hamdi, Savelieva, Irina, Scala, Pierre-Jean, Schellinger, Peter, Scherr, Carlos, Schmitz, Lisa, Schmitz, Karl-Heinz, Schmitz, Bettina, Schnabel, Teresa, Schnupp, Steffen, Schoeniger, Peter, Schön, Norbert, Schwimmbeck, Peter, Seamark, Clare, Searles, Greg, Seidl, Karl-Heinz, Seidman, Barry, Sek, Jaroslaw, Sekaran, Lakshmanan, Serrati, Carlo, Shah, Neerav, Shah, Vinay, Shah, Anil, Shah, Shujahat, Sharma, Vijay Kumar, Shaw, Louise, Sheikh, Khalid H., Shimizu, Naruhito, Shimomura, Hideki, Shin, Dong-Gu, Shin, Eun-Seok, Shite, Junya, Sibilio, Gerolamo, Silver, Frank, Sime, Iveta, Simmers, Tim A., Singh, Narendra, Siostrzonek, Peter, Smadja, Didier, Smith, David W., Snitman, Marcelo, Filho, Dario Sobral, Soda, Hassan, Sofley, Carl, Sokal, Adam, Oi Yan, Yannie Soo, Sotolongo, Rodolfo, Ferreira de Souza, Olga, Sparby, Jon Arne, Spinar, Jindrich, Sprigings, David, Spyropoulos, Alex C., Stakos, Dimitrios, Steinwender, Clemens, Stergiou, Georgios, Stiell, Ian, Stoddard, Marcus, Stoikov, Anastas, Streb, Witold, Styliadis, Ioannis, Su, Guohai, Su, Xi, Sudnik, Wanda, Sukles, Kai, Sun, Xiaofei, Swart, H., Szavits-Nossan, Janko, Taggeselle, Jens, Takagi, Yuichiro, Singh Takhar, Amrit Pal, Tamm, Angelika, Tanaka, Katsumi, Tanawuttiwat, Tanyanan, Tang, Sherman, Tang, Aylmer, Tarsi, Giovanni, Tassinari, Tiziana, Tayal, Ashis, Tayebjee, Muzahir, Berg, J.M. ten, Tesloianu, Dan, The, Salem H.K., Thomas, Dierk, Timsit, Serge, Tobaru, Tetsuya, Tomasik, Andrzej R., Torosoff, Mikhail, Touze, Emmanuel, Trendafilova, Elina, Tsai, W. Kevin, Tse, Hung Fat, Tsutsui, Hiroshi, Tu, Tian Ming, Tuininga, Ype, Turakhia, Minang, Turk, Samir, Turner, Wayne, Tveit, Arnljot, Tytus, Richard, Valadão, C., van Bergen, P.F.M.M., van de Borne, Philippe, van den Berg, B.J., van der Zwaan, C., Van Eck, M., Vanacker, Peter, Vasilev, Dimo, Vasilikos, Vasileios, Vasilyev, Maxim, Veerareddy, Srikar, Miño; Asok Venkataraman, Mario Vega, Verdecchia, Paolo, Versaci, Francesco, Vester, Ernst Günter, Vial, Hubert, Victory, Jason, Villamil, Alejandro, Vincent, Marc, Vlastaris, Anthony, Dahl, Jürgen vom, Vora, Kishor, Vranian, Robert B., Wakefield, Paul, Wang, Ningfu, Wang, Mingsheng, Wang, Xinhua, Wang, Feng, Wang, Tian, Warner, Alberta L., Watanabe, Kouki, Wei, Jeanne, Weimar, Christian, Weiner, Stanislav, Weinrich, Renate, Wen, Ming-Shien, Wiemer, Marcus, Wiggers, Preben, Wilke, Andreas, Williams, David, Williams, Marcus L., Witzenbichler, Bernhard, Wong, Brian, Lawrence Wong, Ka Sing, Wozakowska-Kaplon, Beata, Wu, Shulin, Wu, Richard C., Wunderlich, Silke, Wyatt, Nell, Wylie, John (Jack), Xu, Yong, Xu, Xiangdong, Yamanoue, Hiroki, Yamashita, Takeshi, Bryan Yan, Ping Yen, Yang, Tianlun, Yao, Jing, Yeh, Kuo-Ho, Yin, Wei Hsian, Yotov, Yoto, Zahn, Ralf, Zarich, Stuart, Zenin, Sergei, Zeuthen, Elisabeth Louise, Zhang, Huanyi, Zhang, Donghui, Zhang, Xingwei, Zhang, Ping, Zhang, Jun, Zhao, Shui Ping, Zhao, Yujie, Zhao, Zhichen, Zheng, Yang, Zhou, Jing, Zimmermann, Sergio, Zini, Andrea, Zizzo, Steven, Zong, Wenxia, Zukerman, L. Steven, Romiti, Giulio Francesco, Corica, Bernadette, Proietti, Marco, Mei, Davide Antonio, Frydenlund, Juliane, Bisson, Arnaud, Olshansky, Brian, Chan, Yi-Hsin, Huisman, Menno V., and Chao, Tze-Fan
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- 2023
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- View/download PDF
158. The Knowledge Within: Methods for Data-Free Model Compression
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Haroush, Matan, Hubara, Itay, Hoffer, Elad, and Soudry, Daniel
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Computer Science - Machine Learning ,Computer Science - Computer Vision and Pattern Recognition ,Statistics - Machine Learning - Abstract
Recently, an extensive amount of research has been focused on compressing and accelerating Deep Neural Networks (DNN). So far, high compression rate algorithms require part of the training dataset for a low precision calibration, or a fine-tuning process. However, this requirement is unacceptable when the data is unavailable or contains sensitive information, as in medical and biometric use-cases. We present three methods for generating synthetic samples from trained models. Then, we demonstrate how these samples can be used to calibrate and fine-tune quantized models without using any real data in the process. Our best performing method has a negligible accuracy degradation compared to the original training set. This method, which leverages intrinsic batch normalization layers' statistics of the trained model, can be used to evaluate data similarity. Our approach opens a path towards genuine data-free model compression, alleviating the need for training data during model deployment.
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- 2019
159. O-Net: A Convolutional Neural Network for Quantitative Photoacoustic Image Segmentation and Oximetry
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Luke, Geoffrey P., Hoffer-Hawlik, Kevin, Van Namen, Austin C., and Shang, Ruibo
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Electrical Engineering and Systems Science - Image and Video Processing ,Physics - Medical Physics - Abstract
Estimation of blood oxygenation with spectroscopic photoacoustic imaging is a promising tool for several biomedical applications. For this method to be quantitative, it relies on an accurate method of the light fluence in the tissue. This is difficult deep in heterogeneous tissue, where different wavelengths of light can experience significantly different attenuation. In this work, we developed a new deep neural network to simultaneously estimate the oxygen saturation in blood vessels and segment the vessels from the surrounding background tissue. The network was trained on estimated initial pressure distributions from three-dimensional Monte Carlo simulations of light transport in breast tissue. The network estimated vascular SO2 in less than 50 ms with as little as 5.1% median error and better than 95% segmentation accuracy. Overall, these results show that the blood oxygenation can be quantitatively mapped in real-time with high accuracy.
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- 2019
160. Stretch-activated ion channel TMEM63B associates with developmental and epileptic encephalopathies and progressive neurodegeneration
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Pochiero, Francesca, Mari, Francesco, Ramesh, Venkateswaran, Capra, Valeria, Mancardi, Margherita, Keren, Boris, Mignot, Cyiril, Lulli, Matteo, Parks, Kendall, Griffin, Helen, Brugger, Melanie, Nigro, Vincenzo, Hirata, Yuko, Koichihara, Reiko, Peterlin, Borut, Maki, Ryuto, Nitta, Yohei, Ambrose, John C., Arumugam, Prabhu, Bevers, Roel, Bleda, Marta, Boardman-Pretty, Freya, Boustred, Christopher R., Brittain, Helen, Brown, Matthew A., Caulfield, Mark J., Chan, Georgia C., Giess, Adam, Griffin, John N., Hamblin, Angela, Henderson, Shirley, Hubbard, Tim J.P., Jackson, Rob, Jones, Louise J., Kasperaviciute, Dalia, Kayikci, Melis, Kousathanas, Athanasios, Lahnstein, Lea, Lakey, Anna, Leigh, Sarah E.A., Leong, Ivonne U.S., Lopez, Javier F., Maleady-Crowe, Fiona, McEntagart, Meriel, Minneci, Federico, Mitchell, Jonathan, Moutsianas, Loukas, Mueller, Michael, Murugaesu, Nirupa, Need, Anna C., O’Donovan, Peter, Odhams, Chris A., Patch, Christine, Perez-Gil, Daniel, Pereira, Marina B., Pullinger, John, Rahim, Tahrima, Rendon, Augusto, Rogers, Tim, Savage, Kevin, Sawant, Kushmita, Scott, Richard H., Siddiq, Afshan, Sieghart, Alexander, Smith, Samuel C., Sosinsky, Alona, Stuckey, Alexander, Tanguy, Mélanie, Taylor Tavares, Ana Lisa, Thomas, Ellen R.A., Thompson, Simon R., Tucci, Arianna, Welland, Matthew J., Williams, Eleanor, Witkowska, Katarzyna, Wood, Suzanne M., Zarowiecki, Magdalena, Vetro, Annalisa, Pelorosso, Cristiana, Balestrini, Simona, Masi, Alessio, Hambleton, Sophie, Argilli, Emanuela, Conti, Valerio, Giubbolini, Simone, Barrick, Rebekah, Bergant, Gaber, Writzl, Karin, Bijlsma, Emilia K., Brunet, Theresa, Cacheiro, Pilar, Mei, Davide, Devlin, Anita, Hoffer, Mariëtte J.V., Machol, Keren, Mannaioni, Guido, Sakamoto, Masamune, Menezes, Manoj P., Courtin, Thomas, Sherr, Elliott, Parra, Riccardo, Richardson, Ruth, Roscioli, Tony, Scala, Marcello, von Stülpnagel, Celina, Smedley, Damian, Torella, Annalaura, Tohyama, Jun, Hamada, Keisuke, Ogata, Kazuhiro, Suzuki, Takashi, Sugie, Atsushi, van der Smagt, Jasper J., van Gassen, Koen, Valence, Stephanie, Vittery, Emma, Malone, Stephen, Kato, Mitsuhiro, Matsumoto, Naomichi, Ratto, Gian Michele, and Guerrini, Renzo
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- 2023
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161. At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
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Giladi, Niv, Nacson, Mor Shpigel, Hoffer, Elad, and Soudry, Daniel
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Background: Recent developments have made it possible to accelerate neural networks training significantly using large batch sizes and data parallelism. Training in an asynchronous fashion, where delay occurs, can make training even more scalable. However, asynchronous training has its pitfalls, mainly a degradation in generalization, even after convergence of the algorithm. This gap remains not well understood, as theoretical analysis so far mainly focused on the convergence rate of asynchronous methods. Contributions: We examine asynchronous training from the perspective of dynamical stability. We find that the degree of delay interacts with the learning rate, to change the set of minima accessible by an asynchronous stochastic gradient descent algorithm. We derive closed-form rules on how the learning rate could be changed, while keeping the accessible set the same. Specifically, for high delay values, we find that the learning rate should be kept inversely proportional to the delay. We then extend this analysis to include momentum. We find momentum should be either turned off, or modified to improve training stability. We provide empirical experiments to validate our theoretical findings., Comment: ICLR 2020 Camera ready version
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- 2019
162. Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency
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Hoffer, Elad, Weinstein, Berry, Hubara, Itay, Ben-Nun, Tal, Hoefler, Torsten, and Soudry, Daniel
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Convolutional neural networks (CNNs) are commonly trained using a fixed spatial image size predetermined for a given model. Although trained on images of aspecific size, it is well established that CNNs can be used to evaluate a wide range of image sizes at test time, by adjusting the size of intermediate feature maps. In this work, we describe and evaluate a novel mixed-size training regime that mixes several image sizes at training time. We demonstrate that models trained using our method are more resilient to image size changes and generalize well even on small images. This allows faster inference by using smaller images attest time. For instance, we receive a 76.43% top-1 accuracy using ResNet50 with an image size of 160, which matches the accuracy of the baseline model with 2x fewer computations. Furthermore, for a given image size used at test time, we show this method can be exploited either to accelerate training or the final test accuracy. For example, we are able to reach a 79.27% accuracy with a model evaluated at a 288 spatial size for a relative improvement of 14% over the baseline.
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- 2019
163. The Structure of Biquandle Brackets
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Hoffer, Will, Vengal, Adu, and Winstein, Vilas
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Mathematics - Geometric Topology ,Mathematics - Quantum Algebra ,57K16 - Abstract
In their paper entitled "Quantum Enhancements and Biquandle Brackets," Nelson, Orrison, and Rivera introduced biquandle brackets, which are customized skein invariants for biquandle-colored links. We prove herein that if a biquandle bracket is the pointwise product of another biquandle bracket with some function $\phi$, then $\phi$ is a a biquandle 2-cocycle (up to a constant multiple). As an application, we show that a new invariant introduced by Yang factors in this way, which allows us to show that the new invariant is in fact equivalent to the Jones polynomial on knots. Additionally, we provide a few new results about the structure of biquandle brackets and their relationship with biquandle 2-cocycles.
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- 2019
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164. Self-administered intranasal etripamil using a symptom-prompted, repeat-dose regimen for atrioventricular-nodal-dependent supraventricular tachycardia (RAPID): a multicentre, randomised trial
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Ip, James E, Jones, Alonzo, Sr, Stambler, Bruce S, Schleinkofer, David E, Winters, Stephen, Lam, Wilson, Goldstein, Robert, Dor, Isaac Dor, Talwar, Sandeep, O'Neill, Padraig G, Koren, Michael J, Beinart, Sean C, Ambati, Srivani, Mazer, Sean P, Kinn, Robert M, Roy, Karine, Manshadi, Ramin, Kuk, Richard, Verma, Aditya, Phelan, Timothy, Stoian, Alexandru A, Ellenbogen, Kenneth, Jayachandran, J Vijay, Connelly, Terence P, Daccarett, Marcos, Gandhi, Gaurang, Mittal, Suneet, Abdel-Wahab, Amir, Augostini, Ralph, Ip, John H, Sorrentino, Denise, Roux, Jean-Francois, Brar, Ramandeep, Khoo, Clarence, Bennett, Matthew, Lo, Eric, Coutu, Benoit, Sterns, Laurence, Greer, Gerald S, Gujja, Pradeep, Gianfagna, Robert A, Swarup, Vijendra, Sogade, Felix, Wilton, Stephen, Ruisi, Christopher, Barbera, Saverio, Banchs, Javier E., Korley, Victoria, Schulze, Christopher, Damle, Roger, Healey, Jeffrey Sean, Pandey, A Shekhar, Anderson, Jeffrey L, Venkatachalam, K L, Noseworthy, Peter, Mondésert, Blandine, Verma, Atul, Friars, Douglas G, Kambur, Thomas R, Lockwood, Evan, Meininger, Glenn, Olsovsky, Greg, Jones Sr, Alonzo, Greer, Gerald, Mehta, Rohit, Akbar, Saleem, Salman, Malik, Rama, Bhola, Arora, Ramesh, Shah, Dhirenkumar, Shah, Rakesh, Cammarata, Michael, Owens, Andrew, Ludington, Katherine, Wharton, Marcus, Bagheri, Michael, Khan, Mohammed, Carr, Kenneth Warren, Siddique, Sultan, Parvathaneni, Sunthosh, Devabhaktuni, Subodh, Mouhaffel, Assad, Mark, George, Di Biase, Luigi, Rangappa, Sunil, Morton, Jared, Yarmohammadi, Hirad, Karim, Amin, Martinez Fleites, Aldo, Nero, Thomas, Shafiq, Qaiser, Pandey, Shekhar, Khaykin, Yaariv, Joza, Jacqueline, Gosselin, Gilbert, Skanes, Allen, Vyselaar, John, Savard, Daniel, Heidbuchel, Hein, Xhaet, Olivier, Catez, Emmanuel, Vijgen, Johan, Godart, Pascal, Casado, Ruben, Mairesse, Georges, Rossenbacker, Tom, Haemers, Peter, Hoffer, Etienne, Hausman, Pierre, Vertes, Andras, Duray, Gabor, Szolnoki, Erzsebet, Csanadi, Zoltan, Lakatos, Ferenc, Alings, Marco, Dorman, Reinhart, Tuininga, Y S, Jansen, W, Velthuis, Sebastiaan, van Bemmel, B, Bech, Gerhard Jan Willem, Pisters, Ron, Valk, Suzanne, Romer, Tjeerd, Luermans, Justin, Beelen, Driek, van Eck, Martijn, Houtgraaf, Jaco, Vet, Thijs, Shellings, Dirk, Oosterhof, T, Miekus, Pawel, Bebenek, Waldemar, Bielecka-Dabrowa, Agata, Gniot, Jacek, Zmuda, Witold, Kasprzak, Michal, Balak, Wojciech, Ptaszynski, Pawel, Nowak, Jacek, Prokopczuk, Janusz, Przybylski, Andrzej, Wozniak-Skowerska, Iwona, Derejko, Pawel, Czarnecka, Danuta, Janas, Adam, Merino Llorens, Jose Luis, Tercedor, Luis, Iniguez Romo, Andres, Ruiz Granell, Ricardo, Gonzalez Juanatey, Jose Ramon, Pascual-Figal, Domingo, Martinez-Selles, Manuel, Anguera Camos, Ignacio, Ibanez Criado, Alicia, Matrinez Basterra, Javier, Izquierdo, Alvaro, Rivas Gandara, Nuria, Alegret Colome, Josep M, Perez Diez, Diego, Martínez Hervás, Miguel Ángel, Medina, Maria, Segura Saint-Gerons, Jose María, Pedrote Leal, Alonso, Fernandez Lozano, Ignacio, Quesada, Aurelio, Guerra Ramos, Jose, Sarrias, Axel, Ramos Maqueda, Javier, Mansourati, Jacques, Defaye, Pascal, Guedon-Moreau, Laurence, Milhem, Antoine, De Guillebon, Maxime, Chevalier, Philippe, Badoz, Marc, Kriatselis, Charalampos, Simonis, Gregor, Lewalter, Thorsten, Zarse, Markus, Wilke, Andreas, Kraemer, Fabian, Al-Zoebi, Ayham, Camm, A John, Dorian, Paul, Kowey, Peter R, Merino, Jose L, Piccini, Jonathan P, Pokorney, Sean D, Sager, Philip T, Wharton, J Marcus, Bharucha, David B, Plat, Francis, Shardonofsky, Silvia, and Chen, Michael
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- 2023
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165. CT characterization of retractor related liver injuries after pancreaticoduodenectomy: Retrospective analysis of a single institution experience
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Law, William, Percarpio, Robert, Song, Qingyuan, Smith, Kerrington D., Hoffer, Eric K., and McNulty, Nancy
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- 2023
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166. Augment your batch: better training with larger batches
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Hoffer, Elad, Ben-Nun, Tal, Hubara, Itay, Giladi, Niv, Hoefler, Torsten, and Soudry, Daniel
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Large-batch SGD is important for scaling training of deep neural networks. However, without fine-tuning hyperparameter schedules, the generalization of the model may be hampered. We propose to use batch augmentation: replicating instances of samples within the same batch with different data augmentations. Batch augmentation acts as a regularizer and an accelerator, increasing both generalization and performance scaling. We analyze the effect of batch augmentation on gradient variance and show that it empirically improves convergence for a wide variety of deep neural networks and datasets. Our results show that batch augmentation reduces the number of necessary SGD updates to achieve the same accuracy as the state-of-the-art. Overall, this simple yet effective method enables faster training and better generalization by allowing more computational resources to be used concurrently.
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- 2019
167. A management algorithm for adult patients with both brain oxygen and intracranial pressure monitoring: the Seattle International Severe Traumatic Brain Injury Consensus Conference (SIBICC).
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Chesnut, Randall, Aguilera, Sergio, Buki, Andras, Bulger, Eileen, Citerio, Giuseppe, Cooper, D Jamie, Arrastia, Ramon Diaz, Diringer, Michael, Figaji, Anthony, Gao, Guoyi, Geocadin, Romer, Ghajar, Jamshid, Harris, Odette, Hoffer, Alan, Hutchinson, Peter, Joseph, Mathew, Kitagawa, Ryan, Manley, Geoffrey, Mayer, Stephan, Menon, David K, Meyfroidt, Geert, Michael, Daniel B, Oddo, Mauro, Okonkwo, David, Patel, Mayur, Robertson, Claudia, Rosenfeld, Jeffrey V, Rubiano, Andres M, Sahuquillo, Juan, Servadei, Franco, Shutter, Lori, Stein, Deborah, Stocchetti, Nino, Taccone, Fabio Silvio, Timmons, Shelly, Tsai, Eve, Ullman, Jamie S, Vespa, Paul, Videtta, Walter, Wright, David W, Zammit, Christopher, and Hawryluk, Gregory WJ
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Algorithm ,Brain injury ,Brain oxygen ,Consensus ,Head trauma ,Intracranial pressure ,PbtO2 ,Protocol ,SIBICC ,Seattle ,Tiers ,Emergency & Critical Care Medicine ,Clinical Sciences ,Public Health and Health Services - Abstract
BackgroundCurrent guidelines for the treatment of adult severe traumatic brain injury (sTBI) consist of high-quality evidence reports, but they are no longer accompanied by management protocols, as these require expert opinion to bridge the gap between published evidence and patient care. We aimed to establish a modern sTBI protocol for adult patients with both intracranial pressure (ICP) and brain oxygen monitors in place.MethodsOur consensus working group consisted of 42 experienced and actively practicing sTBI opinion leaders from six continents. Having previously established a protocol for the treatment of patients with ICP monitoring alone, we addressed patients who have a brain oxygen monitor in addition to an ICP monitor. The management protocols were developed through a Delphi-method-based consensus approach and were finalized at an in-person meeting.ResultsWe established three distinct treatment protocols, each with three tiers whereby higher tiers involve therapies with higher risk. One protocol addresses the management of ICP elevation when brain oxygenation is normal. A second addresses management of brain hypoxia with normal ICP. The third protocol addresses the situation when both intracranial hypertension and brain hypoxia are present. The panel considered issues pertaining to blood transfusion and ventilator management when designing the different algorithms.ConclusionsThese protocols are intended to assist clinicians in the management of patients with both ICP and brain oxygen monitors but they do not reflect either a standard-of-care or a substitute for thoughtful individualized management. These protocols should be used in conjunction with recommendations for basic care, management of critical neuroworsening and weaning treatment recently published in conjunction with the Seattle International Brain Injury Consensus Conference.
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- 2020
168. Widening of the genetic and clinical spectrum of Lamb–Shaffer syndrome, a neurodevelopmental disorder due to SOX5 haploinsufficiency
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Zawerton, Ash, Mignot, Cyril, Sigafoos, Ashley, Blackburn, Patrick R, Haseeb, Abdul, McWalter, Kirsty, Ichikawa, Shoji, Nava, Caroline, Keren, Boris, Charles, Perrine, Marey, Isabelle, Tabet, Anne-Claude, Levy, Jonathan, Perrin, Laurence, Hartmann, Andreas, Lesca, Gaetan, Schluth-Bolard, Caroline, Monin, Pauline, Dupuis-Girod, Sophie, Guillen Sacoto, Maria J, Schnur, Rhonda E, Zhu, Zehua, Poisson, Alice, El Chehadeh, Salima, Alembik, Yves, Bruel, Ange-Line, Lehalle, Daphné, Nambot, Sophie, Moutton, Sébastien, Odent, Sylvie, Jaillard, Sylvie, Dubourg, Christèle, Hilhorst-Hofstee, Yvonne, Barbaro-Dieber, Tina, Ortega, Lucia, Bhoj, Elizabeth J, Masser-Frye, Diane, Bird, Lynne M, Lindstrom, Kristin, Ramsey, Keri M, Narayanan, Vinodh, Fassi, Emily, Willing, Marcia, Cole, Trevor, Salter, Claire G, Akilapa, Rhoda, Vandersteen, Anthony, Canham, Natalie, Rump, Patrick, Gerkes, Erica H, Klein Wassink-Ruiter, Jolien S, Bijlsma, Emilia, Hoffer, Mariëtte JV, Vargas, Marcelo, Wojcik, Antonina, Cherik, Florian, Francannet, Christine, Rosenfeld, Jill A, Machol, Keren, Scott, Daryl A, Bacino, Carlos A, Wang, Xia, Clark, Gary D, Bertoli, Marta, Zwolinski, Simon, Thomas, Rhys H, Akay, Ela, Chang, Richard C, Bressi, Rebekah, Sanchez Russo, Rossana, Srour, Myriam, Russell, Laura, Goyette, Anne-Marie E, Dupuis, Lucie, Mendoza-Londono, Roberto, Karimov, Catherine, Joseph, Maries, Nizon, Mathilde, Cogné, Benjamin, Kuechler, Alma, Piton, Amélie, Klee, Eric W, Lefebvre, Véronique, Clark, Karl J, and Depienne, Christel
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Intellectual and Developmental Disabilities (IDD) ,Pediatric ,Genetics ,Brain Disorders ,Clinical Research ,Rare Diseases ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Adolescent ,Adult ,Animals ,Child ,Child ,Preschool ,DNA-Binding Proteins ,Female ,Genetic Predisposition to Disease ,Haploinsufficiency ,Humans ,Infant ,Intellectual Disability ,Language Development Disorders ,Male ,Mutation ,Missense ,Neurodevelopmental Disorders ,Pedigree ,Phenotype ,SOXD Transcription Factors ,Young Adult ,autism ,developmental delay ,intellectual disability ,epilepsy ,missense variants ,Deciphering Developmental DisorderStudy ,missense variants. ,Clinical Sciences ,Genetics & Heredity - Abstract
PurposeLamb-Shaffer syndrome (LAMSHF) is a neurodevelopmental disorder described in just over two dozen patients with heterozygous genetic alterations involving SOX5, a gene encoding a transcription factor regulating cell fate and differentiation in neurogenesis and other discrete developmental processes. The genetic alterations described so far are mainly microdeletions. The present study was aimed at increasing our understanding of LAMSHF, its clinical and genetic spectrum, and the pathophysiological mechanisms involved.MethodsClinical and genetic data were collected through GeneMatcher and clinical or genetic networks for 41 novel patients harboring various types ofSOX5 alterations. Functional consequences of selected substitutions were investigated.ResultsMicrodeletions and truncating variants occurred throughout SOX5. In contrast, most missense variants clustered in the pivotal SOX-specific high-mobility-group domain. The latter variants prevented SOX5 from binding DNA and promoting transactivation in vitro, whereas missense variants located outside the high-mobility-group domain did not. Clinical manifestations and severity varied among patients. No clear genotype-phenotype correlations were found, except that missense variants outside the high-mobility-group domain were generally better tolerated.ConclusionsThis study extends the clinical and genetic spectrum associated with LAMSHF and consolidates evidence that SOX5 haploinsufficiency leads to variable degrees of intellectual disability, language delay, and other clinical features.
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- 2020
169. Author Correction: Large-scale targeted sequencing identifies risk genes for neurodevelopmental disorders
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Wang, Tianyun, Hoekzema, Kendra, Vecchio, Davide, Wu, Huidan, Sulovari, Arvis, Coe, Bradley P, Gillentine, Madelyn A, Wilfert, Amy B, Perez-Jurado, Luis A, Kvarnung, Malin, Sleyp, Yoeri, Earl, Rachel K, Rosenfeld, Jill A, Geisheker, Madeleine R, Han, Lin, Du, Bing, Barnett, Chris, Thompson, Elizabeth, Shaw, Marie, Carroll, Renee, Friend, Kathryn, Catford, Rachael, Palmer, Elizabeth E, Zou, Xiaobing, Ou, Jianjun, Li, Honghui, Guo, Hui, Gerdts, Jennifer, Avola, Emanuela, Calabrese, Giuseppe, Elia, Maurizio, Greco, Donatella, Lindstrand, Anna, Nordgren, Ann, Anderlid, Britt-Marie, Vandeweyer, Geert, Van Dijck, Anke, Van der Aa, Nathalie, McKenna, Brooke, Hancarova, Miroslava, Bendova, Sarka, Havlovicova, Marketa, Malerba, Giovanni, Bernardina, Bernardo Dalla, Muglia, Pierandrea, van Haeringen, Arie, Hoffer, Mariette JV, Franke, Barbara, Cappuccio, Gerarda, Delatycki, Martin, Lockhart, Paul J, Manning, Melanie A, Liu, Pengfei, Scheffer, Ingrid E, Brunetti-Pierri, Nicola, Rommelse, Nanda, Amaral, David G, Santen, Gijs WE, Trabetti, Elisabetta, Sedláček, Zdeněk, Michaelson, Jacob J, Pierce, Karen, Courchesne, Eric, Kooy, R Frank, Nordenskjöld, Magnus, Romano, Corrado, Peeters, Hilde, Bernier, Raphael A, Gecz, Jozef, Xia, Kun, and Eichler, Evan E
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Biological Sciences ,Bioinformatics and Computational Biology ,Commerce ,Management ,Tourism and Services ,SPARK Consortium - Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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- 2020
170. Large-scale targeted sequencing identifies risk genes for neurodevelopmental disorders
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Wang, Tianyun, Hoekzema, Kendra, Vecchio, Davide, Wu, Huidan, Sulovari, Arvis, Coe, Bradley P, Gillentine, Madelyn A, Wilfert, Amy B, Perez-Jurado, Luis A, Kvarnung, Malin, Sleyp, Yoeri, Earl, Rachel K, Rosenfeld, Jill A, Geisheker, Madeleine R, Han, Lin, Du, Bing, Barnett, Chris, Thompson, Elizabeth, Shaw, Marie, Carroll, Renee, Friend, Kathryn, Catford, Rachael, Palmer, Elizabeth E, Zou, Xiaobing, Ou, Jianjun, Li, Honghui, Guo, Hui, Gerdts, Jennifer, Avola, Emanuela, Calabrese, Giuseppe, Elia, Maurizio, Greco, Donatella, Lindstrand, Anna, Nordgren, Ann, Anderlid, Britt-Marie, Vandeweyer, Geert, Van Dijck, Anke, Van der Aa, Nathalie, McKenna, Brooke, Hancarova, Miroslava, Bendova, Sarka, Havlovicova, Marketa, Malerba, Giovanni, Bernardina, Bernardo Dalla, Muglia, Pierandrea, van Haeringen, Arie, Hoffer, Mariette JV, Franke, Barbara, Cappuccio, Gerarda, Delatycki, Martin, Lockhart, Paul J, Manning, Melanie A, Liu, Pengfei, Scheffer, Ingrid E, Brunetti-Pierri, Nicola, Rommelse, Nanda, Amaral, David G, Santen, Gijs WE, Trabetti, Elisabetta, Sedláček, Zdeněk, Michaelson, Jacob J, Pierce, Karen, Courchesne, Eric, Kooy, R Frank, Nordenskjöld, Magnus, Romano, Corrado, Peeters, Hilde, Bernier, Raphael A, Gecz, Jozef, Xia, Kun, and Eichler, Evan E
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Genetics ,Prevention ,2.1 Biological and endogenous factors ,Aetiology ,Basic Helix-Loop-Helix Transcription Factors ,CCCTC-Binding Factor ,Case-Control Studies ,Cohort Studies ,DNA Mutational Analysis ,DNA-Binding Proteins ,Female ,Genetic Association Studies ,Genetic Predisposition to Disease ,Heterogeneous-Nuclear Ribonucleoprotein U ,High-Throughput Nucleotide Sequencing ,Humans ,KCNQ3 Potassium Channel ,Male ,Mutation ,Neurodevelopmental Disorders ,RNA-Binding Proteins ,Repressor Proteins ,Transcription Factors ,SPARK Consortium - Abstract
Most genes associated with neurodevelopmental disorders (NDDs) were identified with an excess of de novo mutations (DNMs) but the significance in case-control mutation burden analysis is unestablished. Here, we sequence 63 genes in 16,294 NDD cases and an additional 62 genes in 6,211 NDD cases. By combining these with published data, we assess a total of 125 genes in over 16,000 NDD cases and compare the mutation burden to nonpsychiatric controls from ExAC. We identify 48 genes (25 newly reported) showing significant burden of ultra-rare (MAF
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- 2020
171. Partial Loss of USP9X Function Leads to a Male Neurodevelopmental and Behavioral Disorder Converging on Transforming Growth Factor β Signaling.
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Johnson, Brett V, Kumar, Raman, Oishi, Sabrina, Alexander, Suzy, Kasherman, Maria, Vega, Michelle Sanchez, Ivancevic, Atma, Gardner, Alison, Domingo, Deepti, Corbett, Mark, Parnell, Euan, Yoon, Sehyoun, Oh, Tracey, Lines, Matthew, Lefroy, Henrietta, Kini, Usha, Van Allen, Margot, Grønborg, Sabine, Mercier, Sandra, Küry, Sébastien, Bézieau, Stéphane, Pasquier, Laurent, Raynaud, Martine, Afenjar, Alexandra, Billette de Villemeur, Thierry, Keren, Boris, Désir, Julie, Van Maldergem, Lionel, Marangoni, Martina, Dikow, Nicola, Koolen, David A, VanHasselt, Peter M, Weiss, Marjan, Zwijnenburg, Petra, Sa, Joaquim, Reis, Claudia Falcao, López-Otín, Carlos, Santiago-Fernández, Olaya, Fernández-Jaén, Alberto, Rauch, Anita, Steindl, Katharina, Joset, Pascal, Goldstein, Amy, Madan-Khetarpal, Suneeta, Infante, Elena, Zackai, Elaine, Mcdougall, Carey, Narayanan, Vinodh, Ramsey, Keri, Mercimek-Andrews, Saadet, Pena, Loren, Shashi, Vandana, Undiagnosed Diseases Network, Schoch, Kelly, Sullivan, Jennifer A, Pinto E Vairo, Filippo, Pichurin, Pavel N, Ewing, Sarah A, Barnett, Sarah S, Klee, Eric W, Perry, M Scott, Koenig, Mary Kay, Keegan, Catherine E, Schuette, Jane L, Asher, Stephanie, Perilla-Young, Yezmin, Smith, Laurie D, Rosenfeld, Jill A, Bhoj, Elizabeth, Kaplan, Paige, Li, Dong, Oegema, Renske, van Binsbergen, Ellen, van der Zwaag, Bert, Smeland, Marie Falkenberg, Cutcutache, Ioana, Page, Matthew, Armstrong, Martin, Lin, Angela E, Steeves, Marcie A, Hollander, Nicolette den, Hoffer, Mariëtte JV, Reijnders, Margot RF, Demirdas, Serwet, Koboldt, Daniel C, Bartholomew, Dennis, Mosher, Theresa Mihalic, Hickey, Scott E, Shieh, Christine, Sanchez-Lara, Pedro A, Graham, John M, Tezcan, Kamer, Schaefer, GB, Danylchuk, Noelle R, Asamoah, Alexander, Jackson, Kelly E, Yachelevich, Naomi, Au, Margaret, Pérez-Jurado, Luis A, and Kleefstra, Tjitske
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Undiagnosed Diseases Network ,Animals ,Humans ,Mice ,Ubiquitin Thiolesterase ,Transforming Growth Factor beta ,Developmental Disabilities ,Signal Transduction ,Phenotype ,Female ,Male ,Haploinsufficiency ,Intellectual Disability ,Brain malformation ,Deubiquitylating enzyme ,Hippocampus ,Neurodevelopmental disorder ,TGFβ ,USP9X ,Congenital Structural Anomalies ,Genetics ,Neurosciences ,Pediatric ,Mental Health ,Behavioral and Social Science ,Brain Disorders ,Clinical Research ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,TGF beta ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
BackgroundThe X-chromosome gene USP9X encodes a deubiquitylating enzyme that has been associated with neurodevelopmental disorders primarily in female subjects. USP9X escapes X inactivation, and in female subjects de novo heterozygous copy number loss or truncating mutations cause haploinsufficiency culminating in a recognizable syndrome with intellectual disability and signature brain and congenital abnormalities. In contrast, the involvement of USP9X in male neurodevelopmental disorders remains tentative.MethodsWe used clinically recommended guidelines to collect and interrogate the pathogenicity of 44 USP9X variants associated with neurodevelopmental disorders in males. Functional studies in patient-derived cell lines and mice were used to determine mechanisms of pathology.ResultsTwelve missense variants showed strong evidence of pathogenicity. We define a characteristic phenotype of the central nervous system (white matter disturbances, thin corpus callosum, and widened ventricles); global delay with significant alteration of speech, language, and behavior; hypotonia; joint hypermobility; visual system defects; and other common congenital and dysmorphic features. Comparison of in silico and phenotypical features align additional variants of unknown significance with likely pathogenicity. In support of partial loss-of-function mechanisms, using patient-derived cell lines, we show loss of only specific USP9X substrates that regulate neurodevelopmental signaling pathways and a united defect in transforming growth factor β signaling. In addition, we find correlates of the male phenotype in Usp9x brain-specific knockout mice, and further resolve loss of hippocampal-dependent learning and memory.ConclusionsOur data demonstrate the involvement of USP9X variants in a distinctive neurodevelopmental and behavioral syndrome in male subjects and identify plausible mechanisms of pathogenesis centered on disrupted transforming growth factor β signaling and hippocampal function.
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- 2020
172. California Carbon Offsets and Working Forest Conservation Easements
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Phelps, Jess R. and Hoffer, David P.
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California ,cap-and-trade ,conservation easement ,greenhouse gas ,emission reduction - Abstract
California’s cap-and-trade system is a vital laboratory for testing the effectiveness of this market-driven approach in meeting greenhouse gas emission reduction goals and the use of forestry-based carbon offsets within these systems generally. Based on this experience, this Article explores one of the primary challenges, layering offsets with working forest conservation easements, which currently limits opportunities to effectively use these tools in concert. Ultimately, this market may need to foster and rely on natural linkages with working forest conservation easements to develop these offsets and to better ensure that the critical societal objectives of these projects are being met.
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- 2020
173. Human skin-resident CD8+ T cells require RUNX2 and RUNX3 for induction of cytotoxicity and expression of the integrin CD49a
- Author
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Zitti, Beatrice, Hoffer, Elena, Zheng, Wenning, Pandey, Ram Vinay, Schlums, Heinrich, Perinetti Casoni, Giovanna, Fusi, Irene, Nguyen, Lien, Kärner, Jaanika, Kokkinou, Efthymia, Carrasco, Anna, Gahm, Jessica, Ehrström, Marcus, Happaniemi, Staffan, Keita, Åsa V., Hedin, Charlotte R.H., Mjösberg, Jenny, Eidsmo, Liv, and Bryceson, Yenan T.
- Published
- 2023
- Full Text
- View/download PDF
174. Structural basis for reduced ribosomal A-site fidelity in response to P-site codon–anticodon mismatches
- Author
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Nguyen, Ha An, Hoffer, Eric D., Fagan, Crystal E., Maehigashi, Tatsuya, and Dunham, Christine M.
- Published
- 2023
- Full Text
- View/download PDF
175. Intra-articular Soft Tissue Pathology of the Postpartum Hip: A Systematic Review
- Author
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Hoffer, Alexander J., Kingwell, Doug, Leith, Jordan, McConkey, Mark, Ayeni, Olufemi R., and Lodhia, Parth
- Published
- 2022
- Full Text
- View/download PDF
176. An artefactual field experiment of group discrimination between sports fans
- Author
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Depken, II, Craig A., Hoffer, Adam J., and Kidwai, Abdul H.
- Published
- 2022
- Full Text
- View/download PDF
177. New sports facilities do not drive migration between US cities
- Author
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Arif, Imran, Hoffer, Adam, Humphreys, Brad, and Style, Matthew
- Published
- 2022
- Full Text
- View/download PDF
178. Phytotoxicity of particulate matter from controlled burning of different plastic waste types
- Author
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Hubai, Katalin, Kováts, Nora, Sainnokhoi, Tsend-Ayush, Eck-Varanka, Bettina, Hoffer, András, Tóth, Ádám, and Teke, Gábor
- Published
- 2022
- Full Text
- View/download PDF
179. Block by Block
- Author
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Brandenberg, Maire, primary, Hoffer, Tamara, additional, Rabenn, McKenzie, additional, and Hunter, Cheryl, additional
- Published
- 2023
- Full Text
- View/download PDF
180. “To the Arbitrament of Courts of Law and to the Councils of Legislation”
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
181. “An Irrepressible Conflict between Opposing and Enduring Forces”
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
182. “I Am to Engage in Conducting a War against a Portion of the American People”
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
183. “There Is a Higher Law Than the Constitution”
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
184. Maps
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
185. Copyright Page
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
186. “Harboring and Concealing a Weary and Fainting Slave”
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
187. “There Is No Law of This State Which Recognizes Slavery”
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
188. “The Union Has Been Rescued from All Its Perils”
- Author
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Hoffer, Peter Charles, primary
- Published
- 2023
- Full Text
- View/download PDF
189. Combining thermal imaging and machine learning to noninvasively characterize palm perfusion during local blood pressure changes.
- Author
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Ido Muller, Zehava Ovadia-Blechman, Noam Moyal, Noa Darchi, Oshrit Hoffer, Moshe Halak, and Neta Rabin
- Published
- 2024
- Full Text
- View/download PDF
190. Power Awareness in Low Precision Neural Networks.
- Author
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Nurit Spingarn-Eliezer, Ron Banner, Hilla Ben-Yaacov, Elad Hoffer, and Tomer Michaeli
- Published
- 2022
- Full Text
- View/download PDF
191. Encephalopathy and Delirium
- Author
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Zhou, Xiaofei, Hoffer, Alan, and Raksin, P. B., editor
- Published
- 2022
- Full Text
- View/download PDF
192. From Corporate Social Responsibility Towards Working Solution: A Comment By The Former Executive Director of ‘Action, Collaboration, Transformation’ (ACT)
- Author
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Hoffer, Frank, Teipen, Christina, editor, Dünhaupt, Petra, editor, Herr, Hansjörg, editor, and Mehl, Fabian, editor
- Published
- 2022
- Full Text
- View/download PDF
193. Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats.
- Author
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Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, and Daniel Soudry
- Published
- 2023
194. DropCompute: simple and more robust distributed synchronous training via compute variance reduction.
- Author
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Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, and Daniel Soudry
- Published
- 2023
195. HapTech: Intelligent controls in public spaces through mid-air haptic interaction.
- Author
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Emely Rosbach, Muhammad Muhammad, Larin Talabani-Durmus, Muhammed Maral, Carina Ziegler, Hannah Reuter, Alice Lell, Sabrina Hoffer, Jakob Peintner, and Andreas Riener
- Published
- 2023
- Full Text
- View/download PDF
196. Abstract 15308: NLRP3 Activation and Calcium-Dependent Contractile Function in Rat Right Ventricle Cardiomyocytes (RVCMs) Are Sexually Dimorphic and Controlled by 17β-Estradiol-via Estrogen Receptor-α
- Author
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Sobrano Fais, Rafael, Hoffer, Christopher, Moreno Vinasco, Liliana, Walts, Avram, Cook, Todd, Fisher, Amanda, Frump, Andrea L, Woulfe, KC, and Lahm, Tim
- Published
- 2023
- Full Text
- View/download PDF
197. Utilization of computed tomography in pediatric temporal fractures: A dose reduction approach
- Author
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Kamrava, Brandon, Shah, Viraj N., Torres, Leonardo, Sidani, Charif, Saigal, Gaurav, Hoffer, Michael E., and Szczupak, Mikhaylo B.
- Published
- 2023
- Full Text
- View/download PDF
198. Cover crops and a devigorating rootstock can impart substantial agroecosystem services to high-resource vineyards: A multi-year study
- Author
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Fleishman, Suzanne M., Eissenstat, David M., Hoffer, Grant M., and Centinari, Michela
- Published
- 2023
- Full Text
- View/download PDF
199. Solving multi-objective inverse problems of chained manufacturing processes
- Author
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Hoffer, J.G., Geiger, B.C., and Kern, R.
- Published
- 2023
- Full Text
- View/download PDF
200. Gunther Tulip Filter Strut Penetration: Benign Long-Term Follow-up
- Author
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Hoffer, Eric K., Mueller, Rebecca J., Lee, Nicole N., Munger, David P., and Gemery, John M.
- Published
- 2023
- Full Text
- View/download PDF
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