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2. Recruitment and Retention Strategies for Community-Based Longitudinal Studies in Diverse Urban Neighborhoods

Author

Ferris, Emily B, Wyka, Katarzyna, Evenson, Kelly R, Dorn, Joan M, Thorpe, Lorna, Catellier, Diane, and Huang, Terry T-K

Subjects
Medicine
Abstract

Longitudinal, natural experiments provide an ideal evaluation approach to better understand the impact of built environment interventions on community health outcomes, particularly health disparities. As there are many participant engagement challenges inherent in the design of large-scale community-based studies, adaptive and iterative participant engagement strategies are critical. This paper shares practical lessons learned from the Physical Activity and Redesigned Community Spaces (PARCS) study, which is an evaluation of the impact of a citywide park renovation initiative on physical activity, psychosocial health, and community well-being. The PARCS study, although ongoing, has developed several approaches to improve participant engagement: building trust with communities, adapting the study protocol to meet participants’ needs and to reflect their capacity for participation, operational flexibility, and developing tracking systems. These strategies may help researchers anticipate and respond to participant engagement challenges in community-based studies, particularly in low-income communities of color.

Published
2021
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6. Gemini: A Family of Highly Capable Multimodal Models

Author

Gemini Team, Anil, Rohan, Borgeaud, Sebastian, Alayrac, Jean-Baptiste, Yu, Jiahui, Soricut, Radu, Schalkwyk, Johan, Dai, Andrew M., Hauth, Anja, Millican, Katie, Silver, David, Johnson, Melvin, Antonoglou, Ioannis, Schrittwieser, Julian, Glaese, Amelia, Chen, Jilin, Pitler, Emily, Lillicrap, Timothy, Lazaridou, Angeliki, Firat, Orhan, Molloy, James, Isard, Michael, Barham, Paul R., Hennigan, Tom, Lee, Benjamin, Viola, Fabio, Reynolds, Malcolm, Xu, Yuanzhong, Doherty, Ryan, Collins, Eli, Meyer, Clemens, Rutherford, Eliza, Moreira, Erica, Ayoub, Kareem, Goel, Megha, Krawczyk, Jack, Du, Cosmo, Chi, Ed, Cheng, Heng-Tze, Ni, Eric, Shah, Purvi, Kane, Patrick, Chan, Betty, Faruqui, Manaal, Severyn, Aliaksei, Lin, Hanzhao, Li, YaGuang, Cheng, Yong, Ittycheriah, Abe, Mahdieh, Mahdis, Chen, Mia, Sun, Pei, Tran, Dustin, Bagri, Sumit, Lakshminarayanan, Balaji, Liu, Jeremiah, Orban, Andras, Güra, Fabian, Zhou, Hao, Song, Xinying, Boffy, Aurelien, Ganapathy, Harish, Zheng, Steven, Choe, HyunJeong, Weisz, Ágoston, Zhu, Tao, Lu, Yifeng, Gopal, Siddharth, Kahn, Jarrod, Kula, Maciej, Pitman, Jeff, Shah, Rushin, Taropa, Emanuel, Merey, Majd Al, Baeuml, Martin, Chen, Zhifeng, Shafey, Laurent El, Zhang, Yujing, Sercinoglu, Olcan, Tucker, George, Piqueras, Enrique, Krikun, Maxim, Barr, Iain, Savinov, Nikolay, Danihelka, Ivo, Roelofs, Becca, White, Anaïs, Andreassen, Anders, von Glehn, Tamara, Yagati, Lakshman, Kazemi, Mehran, Gonzalez, Lucas, Khalman, Misha, Sygnowski, Jakub, Frechette, Alexandre, Smith, Charlotte, Culp, Laura, Proleev, Lev, Luan, Yi, Chen, Xi, Lottes, James, Schucher, Nathan, Lebron, Federico, Rrustemi, Alban, Clay, Natalie, Crone, Phil, Kocisky, Tomas, Zhao, Jeffrey, Perz, Bartek, Yu, Dian, Howard, Heidi, Bloniarz, Adam, Rae, Jack W., Lu, Han, Sifre, Laurent, Maggioni, Marcello, Alcober, Fred, Garrette, Dan, Barnes, Megan, Thakoor, Shantanu, Austin, Jacob, Barth-Maron, Gabriel, Wong, William, Joshi, Rishabh, Chaabouni, Rahma, Fatiha, Deeni, Ahuja, Arun, Tomar, Gaurav Singh, Senter, Evan, Chadwick, Martin, Kornakov, Ilya, Attaluri, Nithya, Iturrate, Iñaki, Liu, Ruibo, Li, Yunxuan, Cogan, Sarah, Chen, Jeremy, Jia, Chao, Gu, Chenjie, Zhang, Qiao, Grimstad, Jordan, Hartman, Ale Jakse, Garcia, Xavier, Pillai, Thanumalayan Sankaranarayana, Devlin, Jacob, Laskin, Michael, Casas, Diego de Las, Valter, Dasha, Tao, Connie, Blanco, Lorenzo, Badia, Adrià Puigdomènech, Reitter, David, Chen, Mianna, Brennan, Jenny, Rivera, Clara, Brin, Sergey, Iqbal, Shariq, Surita, Gabriela, Labanowski, Jane, Rao, Abhi, Winkler, Stephanie, Parisotto, Emilio, Gu, Yiming, Olszewska, Kate, Addanki, Ravi, Miech, Antoine, Louis, Annie, Teplyashin, Denis, Brown, Geoff, Catt, Elliot, Balaguer, Jan, Xiang, Jackie, Wang, Pidong, Ashwood, Zoe, Briukhov, Anton, Webson, Albert, Ganapathy, Sanjay, Sanghavi, Smit, Kannan, Ajay, Chang, Ming-Wei, Stjerngren, Axel, Djolonga, Josip, Sun, Yuting, Bapna, Ankur, Aitchison, Matthew, Pejman, Pedram, Michalewski, Henryk, Yu, Tianhe, Wang, Cindy, Love, Juliette, Ahn, Junwhan, Bloxwich, Dawn, Han, Kehang, Humphreys, Peter, Sellam, Thibault, Bradbury, James, Godbole, Varun, Samangooei, Sina, Damoc, Bogdan, Kaskasoli, Alex, Arnold, Sébastien M. R., Vasudevan, Vijay, Agrawal, Shubham, Riesa, Jason, Lepikhin, Dmitry, Tanburn, Richard, Srinivasan, Srivatsan, Lim, Hyeontaek, Hodkinson, Sarah, Shyam, Pranav, Ferret, Johan, Hand, Steven, Garg, Ankush, Paine, Tom Le, Li, Jian, Li, Yujia, Giang, Minh, Neitz, Alexander, Abbas, Zaheer, York, Sarah, Reid, Machel, Cole, Elizabeth, Chowdhery, Aakanksha, Das, Dipanjan, Rogozińska, Dominika, Nikolaev, Vitaliy, Sprechmann, Pablo, Nado, Zachary, Zilka, Lukas, Prost, Flavien, He, Luheng, Monteiro, Marianne, Mishra, Gaurav, Welty, Chris, Newlan, Josh, Jia, Dawei, Allamanis, Miltiadis, Hu, Clara Huiyi, de Liedekerke, Raoul, Gilmer, Justin, Saroufim, Carl, Rijhwani, Shruti, Hou, Shaobo, Shrivastava, Disha, Baddepudi, Anirudh, Goldin, Alex, Ozturel, Adnan, Cassirer, Albin, Xu, Yunhan, Sohn, Daniel, Sachan, Devendra, Amplayo, Reinald Kim, Swanson, Craig, Petrova, Dessie, Narayan, Shashi, Guez, Arthur, Brahma, Siddhartha, Landon, Jessica, Patel, Miteyan, Zhao, Ruizhe, Villela, Kevin, Wang, Luyu, Jia, Wenhao, Rahtz, Matthew, Giménez, Mai, Yeung, Legg, Keeling, James, Georgiev, Petko, Mincu, Diana, Wu, Boxi, Haykal, Salem, Saputro, Rachel, Vodrahalli, Kiran, Qin, James, Cankara, Zeynep, Sharma, Abhanshu, Fernando, Nick, Hawkins, Will, Neyshabur, Behnam, Kim, Solomon, Hutter, Adrian, Agrawal, Priyanka, Castro-Ros, Alex, Driessche, George van den, Wang, Tao, Yang, Fan, Chang, Shuo-yiin, Komarek, Paul, McIlroy, Ross, Lučić, Mario, Zhang, Guodong, Farhan, Wael, Sharman, Michael, Natsev, Paul, Michel, Paul, Bansal, Yamini, Qiao, Siyuan, Cao, Kris, Shakeri, Siamak, Butterfield, Christina, Chung, Justin, Rubenstein, Paul Kishan, Agrawal, Shivani, Mensch, Arthur, Soparkar, Kedar, Lenc, Karel, Chung, Timothy, Pope, Aedan, Maggiore, Loren, Kay, Jackie, Jhakra, Priya, Wang, Shibo, Maynez, Joshua, Phuong, Mary, Tobin, Taylor, Tacchetti, Andrea, Trebacz, Maja, Robinson, Kevin, Katariya, Yash, Riedel, Sebastian, Bailey, Paige, Xiao, Kefan, Ghelani, Nimesh, Aroyo, Lora, Slone, Ambrose, Houlsby, Neil, Xiong, Xuehan, Yang, Zhen, Gribovskaya, Elena, Adler, Jonas, Wirth, Mateo, Lee, Lisa, Li, Music, Kagohara, Thais, Pavagadhi, Jay, Bridgers, Sophie, Bortsova, Anna, Ghemawat, Sanjay, Ahmed, Zafarali, Liu, Tianqi, Powell, Richard, Bolina, Vijay, Iinuma, Mariko, Zablotskaia, Polina, Besley, James, Chung, Da-Woon, Dozat, Timothy, Comanescu, Ramona, Si, Xiance, Greer, Jeremy, Su, Guolong, Polacek, Martin, Kaufman, Raphaël Lopez, Tokumine, Simon, Hu, Hexiang, Buchatskaya, Elena, Miao, Yingjie, Elhawaty, Mohamed, Siddhant, Aditya, Tomasev, Nenad, Xing, Jinwei, Greer, Christina, Miller, Helen, Ashraf, Shereen, Roy, Aurko, Zhang, Zizhao, Ma, Ada, Filos, Angelos, Besta, Milos, Blevins, Rory, Klimenko, Ted, Yeh, Chih-Kuan, Changpinyo, Soravit, Mu, Jiaqi, Chang, Oscar, Pajarskas, Mantas, Muir, Carrie, Cohen, Vered, Lan, Charline Le, Haridasan, Krishna, Marathe, Amit, Hansen, Steven, Douglas, Sholto, Samuel, Rajkumar, Wang, Mingqiu, Austin, Sophia, Lan, Chang, Jiang, Jiepu, Chiu, Justin, Lorenzo, Jaime Alonso, Sjösund, Lars Lowe, Cevey, Sébastien, Gleicher, Zach, Avrahami, Thi, Boral, Anudhyan, Srinivasan, Hansa, Selo, Vittorio, May, Rhys, Aisopos, Konstantinos, Hussenot, Léonard, Soares, Livio Baldini, Baumli, Kate, Chang, Michael B., Recasens, Adrià, Caine, Ben, Pritzel, Alexander, Pavetic, Filip, Pardo, Fabio, Gergely, Anita, Frye, Justin, Ramasesh, Vinay, Horgan, Dan, Badola, Kartikeya, Kassner, Nora, Roy, Subhrajit, Dyer, Ethan, Campos, Víctor Campos, Tomala, Alex, Tang, Yunhao, Badawy, Dalia El, White, Elspeth, Mustafa, Basil, Lang, Oran, Jindal, Abhishek, Vikram, Sharad, Gong, Zhitao, Caelles, Sergi, Hemsley, Ross, Thornton, Gregory, Feng, Fangxiaoyu, Stokowiec, Wojciech, Zheng, Ce, Thacker, Phoebe, Ünlü, Çağlar, Zhang, Zhishuai, Saleh, Mohammad, Svensson, James, Bileschi, Max, Patil, Piyush, Anand, Ankesh, Ring, Roman, Tsihlas, Katerina, Vezer, Arpi, Selvi, Marco, Shevlane, Toby, Rodriguez, Mikel, Kwiatkowski, Tom, Daruki, Samira, Rong, Keran, Dafoe, Allan, FitzGerald, Nicholas, Gu-Lemberg, Keren, Khan, Mina, Hendricks, Lisa Anne, Pellat, Marie, Feinberg, Vladimir, Cobon-Kerr, James, Sainath, Tara, Rauh, Maribeth, Hashemi, Sayed Hadi, Ives, Richard, Hasson, Yana, Noland, Eric, Cao, Yuan, Byrd, Nathan, Hou, Le, Wang, Qingze, Sottiaux, Thibault, Paganini, Michela, Lespiau, Jean-Baptiste, Moufarek, Alexandre, Hassan, Samer, Shivakumar, Kaushik, van Amersfoort, Joost, Mandhane, Amol, Joshi, Pratik, Goyal, Anirudh, Tung, Matthew, Brock, Andrew, Sheahan, Hannah, Misra, Vedant, Li, Cheng, Rakićević, Nemanja, Dehghani, Mostafa, Liu, Fangyu, Mittal, Sid, Oh, Junhyuk, Noury, Seb, Sezener, Eren, Huot, Fantine, Lamm, Matthew, De Cao, Nicola, Chen, Charlie, Mudgal, Sidharth, Stella, Romina, Brooks, Kevin, Vasudevan, Gautam, Liu, Chenxi, Chain, Mainak, Melinkeri, Nivedita, Cohen, Aaron, Wang, Venus, Seymore, Kristie, Zubkov, Sergey, Goel, Rahul, Yue, Summer, Krishnakumaran, Sai, Albert, Brian, Hurley, Nate, Sano, Motoki, Mohananey, Anhad, Joughin, Jonah, Filonov, Egor, Kępa, Tomasz, Eldawy, Yomna, Lim, Jiawern, Rishi, Rahul, Badiezadegan, Shirin, Bos, Taylor, Chang, Jerry, Jain, Sanil, Padmanabhan, Sri Gayatri Sundara, Puttagunta, Subha, Krishna, Kalpesh, Baker, Leslie, Kalb, Norbert, Bedapudi, Vamsi, Kurzrok, Adam, Lei, Shuntong, Yu, Anthony, Litvin, Oren, Zhou, Xiang, Wu, Zhichun, Sobell, Sam, Siciliano, Andrea, Papir, Alan, Neale, Robby, Bragagnolo, Jonas, Toor, Tej, Chen, Tina, Anklin, Valentin, Wang, Feiran, Feng, Richie, Gholami, Milad, Ling, Kevin, Liu, Lijuan, Walter, Jules, Moghaddam, Hamid, Kishore, Arun, Adamek, Jakub, Mercado, Tyler, Mallinson, Jonathan, Wandekar, Siddhinita, Cagle, Stephen, Ofek, Eran, Garrido, Guillermo, Lombriser, Clemens, Mukha, Maksim, Sun, Botu, Mohammad, Hafeezul Rahman, Matak, Josip, Qian, Yadi, Peswani, Vikas, Janus, Pawel, Yuan, Quan, Schelin, Leif, David, Oana, Garg, Ankur, He, Yifan, Duzhyi, Oleksii, Älgmyr, Anton, Lottaz, Timothée, Li, Qi, Yadav, Vikas, Xu, Luyao, Chinien, Alex, Shivanna, Rakesh, Chuklin, Aleksandr, Li, Josie, Spadine, Carrie, Wolfe, Travis, Mohamed, Kareem, Das, Subhabrata, Dai, Zihang, He, Kyle, von Dincklage, Daniel, Upadhyay, Shyam, Maurya, Akanksha, Chi, Luyan, Krause, Sebastian, Salama, Khalid, Rabinovitch, Pam G, M, Pavan Kumar Reddy, Selvan, Aarush, Dektiarev, Mikhail, Ghiasi, Golnaz, Guven, Erdem, Gupta, Himanshu, Liu, Boyi, Sharma, Deepak, Shtacher, Idan Heimlich, Paul, Shachi, Akerlund, Oscar, Aubet, François-Xavier, Huang, Terry, Zhu, Chen, Zhu, Eric, Teixeira, Elico, Fritze, Matthew, Bertolini, Francesco, Marinescu, Liana-Eleonora, Bölle, Martin, Paulus, Dominik, Gupta, Khyatti, Latkar, Tejasi, Chang, Max, Sanders, Jason, Wilson, Roopa, Wu, Xuewei, Tan, Yi-Xuan, Thiet, Lam Nguyen, Doshi, Tulsee, Lall, Sid, Mishra, Swaroop, Chen, Wanming, Luong, Thang, Benjamin, Seth, Lee, Jasmine, Andrejczuk, Ewa, Rabiej, Dominik, Ranjan, Vipul, Styrc, Krzysztof, Yin, Pengcheng, Simon, Jon, Harriott, Malcolm Rose, Bansal, Mudit, Robsky, Alexei, Bacon, Geoff, Greene, David, Mirylenka, Daniil, Zhou, Chen, Sarvana, Obaid, Goyal, Abhimanyu, Andermatt, Samuel, Siegler, Patrick, Horn, Ben, Israel, Assaf, Pongetti, Francesco, Chen, Chih-Wei "Louis", Selvatici, Marco, Silva, Pedro, Wang, Kathie, Tolins, Jackson, Guu, Kelvin, Yogev, Roey, Cai, Xiaochen, Agostini, Alessandro, Shah, Maulik, Nguyen, Hung, Donnaile, Noah Ó, Pereira, Sébastien, Friso, Linda, Stambler, Adam, Kuang, Chenkai, Romanikhin, Yan, Geller, Mark, Yan, ZJ, Jang, Kane, Lee, Cheng-Chun, Fica, Wojciech, Malmi, Eric, Tan, Qijun, Banica, Dan, Balle, Daniel, Pham, Ryan, Huang, Yanping, Avram, Diana, Shi, Hongzhi, Singh, Jasjot, Hidey, Chris, Ahuja, Niharika, Saxena, Pranab, Dooley, Dan, Potharaju, Srividya Pranavi, O'Neill, Eileen, Gokulchandran, Anand, Foley, Ryan, Zhao, Kai, Dusenberry, Mike, Liu, Yuan, Mehta, Pulkit, Kotikalapudi, Ragha, Safranek-Shrader, Chalence, Goodman, Andrew, Kessinger, Joshua, Globen, Eran, Kolhar, Prateek, Gorgolewski, Chris, Ibrahim, Ali, Song, Yang, Eichenbaum, Ali, Brovelli, Thomas, Potluri, Sahitya, Lahoti, Preethi, Baetu, Cip, Ghorbani, Ali, Chen, Charles, Crawford, Andy, Pal, Shalini, Sridhar, Mukund, Gurita, Petru, Mujika, Asier, Petrovski, Igor, Cedoz, Pierre-Louis, Li, Chenmei, Chen, Shiyuan, Santo, Niccolò Dal, Goyal, Siddharth, Punjabi, Jitesh, Kappaganthu, Karthik, Kwak, Chester, LV, Pallavi, Velury, Sarmishta, Choudhury, Himadri, Hall, Jamie, Shah, Premal, Figueira, Ricardo, Thomas, Matt, Lu, Minjie, Zhou, Ting, Kumar, Chintu, Jurdi, Thomas, Chikkerur, Sharat, Ma, Yenai, Yu, Adams, Kwak, Soo, Ähdel, Victor, Rajayogam, Sujeevan, Choma, Travis, Liu, Fei, Barua, Aditya, Ji, Colin, Park, Ji Ho, Hellendoorn, Vincent, Bailey, Alex, Bilal, Taylan, Zhou, Huanjie, Khatir, Mehrdad, Sutton, Charles, Rzadkowski, Wojciech, Macintosh, Fiona, Shagin, Konstantin, Medina, Paul, Liang, Chen, Zhou, Jinjing, Shah, Pararth, Bi, Yingying, Dankovics, Attila, Banga, Shipra, Lehmann, Sabine, Bredesen, Marissa, Lin, Zifan, Hoffmann, John Eric, Lai, Jonathan, Chung, Raynald, Yang, Kai, Balani, Nihal, Bražinskas, Arthur, Sozanschi, Andrei, Hayes, Matthew, Alcalde, Héctor Fernández, Makarov, Peter, Chen, Will, Stella, Antonio, Snijders, Liselotte, Mandl, Michael, Kärrman, Ante, Nowak, Paweł, Wu, Xinyi, Dyck, Alex, Vaidyanathan, Krishnan, R, Raghavender, Mallet, Jessica, Rudominer, Mitch, Johnston, Eric, Mittal, Sushil, Udathu, Akhil, Christensen, Janara, Verma, Vishal, Irving, Zach, Santucci, Andreas, Elsayed, Gamaleldin, Davoodi, Elnaz, Georgiev, Marin, Tenney, Ian, Hua, Nan, Cideron, Geoffrey, Leurent, Edouard, Alnahlawi, Mahmoud, Georgescu, Ionut, Wei, Nan, Zheng, Ivy, Scandinaro, Dylan, Jiang, Heinrich, Snoek, Jasper, Sundararajan, Mukund, Wang, Xuezhi, Ontiveros, Zack, Karo, Itay, Cole, Jeremy, Rajashekhar, Vinu, Tumeh, Lara, Ben-David, Eyal, Jain, Rishub, Uesato, Jonathan, Datta, Romina, Bunyan, Oskar, Wu, Shimu, Zhang, John, Stanczyk, Piotr, Zhang, Ye, Steiner, David, Naskar, Subhajit, Azzam, Michael, Johnson, Matthew, Paszke, Adam, Chiu, Chung-Cheng, Elias, Jaume Sanchez, Mohiuddin, Afroz, Muhammad, Faizan, Miao, Jin, Lee, Andrew, Vieillard, Nino, Park, Jane, Zhang, Jiageng, Stanway, Jeff, Garmon, Drew, Karmarkar, Abhijit, Dong, Zhe, Lee, Jong, Kumar, Aviral, Zhou, Luowei, Evens, Jonathan, Isaac, William, Irving, Geoffrey, Loper, Edward, Fink, Michael, Arkatkar, Isha, Chen, Nanxin, Shafran, Izhak, Petrychenko, Ivan, Chen, Zhe, Jia, Johnson, Levskaya, Anselm, Zhu, Zhenkai, Grabowski, Peter, Mao, Yu, Magni, Alberto, Yao, Kaisheng, Snaider, Javier, Casagrande, Norman, Palmer, Evan, Suganthan, Paul, Castaño, Alfonso, Giannoumis, Irene, Kim, Wooyeol, Rybiński, Mikołaj, Sreevatsa, Ashwin, Prendki, Jennifer, Soergel, David, Goedeckemeyer, Adrian, Gierke, Willi, Jafari, Mohsen, Gaba, Meenu, Wiesner, Jeremy, Wright, Diana Gage, Wei, Yawen, Vashisht, Harsha, Kulizhskaya, Yana, Hoover, Jay, Le, Maigo, Li, Lu, Iwuanyanwu, Chimezie, Liu, Lu, Ramirez, Kevin, Khorlin, Andrey, Cui, Albert, LIN, Tian, Wu, Marcus, Aguilar, Ricardo, Pallo, Keith, Chakladar, Abhishek, Perng, Ginger, Abellan, Elena Allica, Zhang, Mingyang, Dasgupta, Ishita, Kushman, Nate, Penchev, Ivo, Repina, Alena, Wu, Xihui, van der Weide, Tom, Ponnapalli, Priya, Kaplan, Caroline, Simsa, Jiri, Li, Shuangfeng, Dousse, Olivier, Piper, Jeff, Ie, Nathan, Pasumarthi, Rama, Lintz, Nathan, Vijayakumar, Anitha, Andor, Daniel, Valenzuela, Pedro, Lui, Minnie, Paduraru, Cosmin, Peng, Daiyi, Lee, Katherine, Zhang, Shuyuan, Greene, Somer, Nguyen, Duc Dung, Kurylowicz, Paula, Hardin, Cassidy, Dixon, Lucas, Janzer, Lili, Choo, Kiam, Feng, Ziqiang, Zhang, Biao, Singhal, Achintya, Du, Dayou, McKinnon, Dan, Antropova, Natasha, Bolukbasi, Tolga, Keller, Orgad, Reid, David, Finchelstein, Daniel, Raad, Maria Abi, Crocker, Remi, Hawkins, Peter, Dadashi, Robert, Gaffney, Colin, Franko, Ken, Bulanova, Anna, Leblond, Rémi, Chung, Shirley, Askham, Harry, Cobo, Luis C., Xu, Kelvin, Fischer, Felix, Xu, Jun, Sorokin, Christina, Alberti, Chris, Lin, Chu-Cheng, Evans, Colin, Dimitriev, Alek, Forbes, Hannah, Banarse, Dylan, Tung, Zora, Omernick, Mark, Bishop, Colton, Sterneck, Rachel, Jain, Rohan, Xia, Jiawei, Amid, Ehsan, Piccinno, Francesco, Wang, Xingyu, Banzal, Praseem, Mankowitz, Daniel J., Polozov, Alex, Krakovna, Victoria, Brown, Sasha, Bateni, MohammadHossein, Duan, Dennis, Firoiu, Vlad, Thotakuri, Meghana, Natan, Tom, Geist, Matthieu, Girgin, Ser tan, Li, Hui, Ye, Jiayu, Roval, Ofir, Tojo, Reiko, Kwong, Michael, Lee-Thorp, James, Yew, Christopher, Sinopalnikov, Danila, Ramos, Sabela, Mellor, John, Sharma, Abhishek, Wu, Kathy, Miller, David, Sonnerat, Nicolas, Vnukov, Denis, Greig, Rory, Beattie, Jennifer, Caveness, Emily, Bai, Libin, Eisenschlos, Julian, Korchemniy, Alex, Tsai, Tomy, Jasarevic, Mimi, Kong, Weize, Dao, Phuong, Zheng, Zeyu, Liu, Frederick, Zhu, Rui, Teh, Tian Huey, Sanmiya, Jason, Gladchenko, Evgeny, Trdin, Nejc, Toyama, Daniel, Rosen, Evan, Tavakkol, Sasan, Xue, Linting, Elkind, Chen, Woodman, Oliver, Carpenter, John, Papamakarios, George, Kemp, Rupert, Kafle, Sushant, Grunina, Tanya, Sinha, Rishika, Talbert, Alice, Wu, Diane, Owusu-Afriyie, Denese, Thornton, Chloe, Pont-Tuset, Jordi, Narayana, Pradyumna, Li, Jing, Fatehi, Saaber, Wieting, John, Ajmeri, Omar, Uria, Benigno, Ko, Yeongil, Knight, Laura, Héliou, Amélie, Niu, Ning, Gu, Shane, Pang, Chenxi, Li, Yeqing, Levine, Nir, Stolovich, Ariel, Santamaria-Fernandez, Rebeca, Goenka, Sonam, Yustalim, Wenny, Strudel, Robin, Elqursh, Ali, Deck, Charlie, Lee, Hyo, Li, Zonglin, Levin, Kyle, Hoffmann, Raphael, Holtmann-Rice, Dan, Bachem, Olivier, Arora, Sho, Koh, Christy, Yeganeh, Soheil Hassas, Põder, Siim, Tariq, Mukarram, Sun, Yanhua, Ionita, Lucian, Seyedhosseini, Mojtaba, Tafti, Pouya, Liu, Zhiyu, Gulati, Anmol, Liu, Jasmine, Ye, Xinyu, Chrzaszcz, Bart, Wang, Lily, Sethi, Nikhil, Li, Tianrun, Brown, Ben, Singh, Shreya, Fan, Wei, Parisi, Aaron, Stanton, Joe, Koverkathu, Vinod, Choquette-Choo, Christopher A., Li, Yunjie, Lu, TJ, Shroff, Prakash, Varadarajan, Mani, Bahargam, Sanaz, Willoughby, Rob, Gaddy, David, Desjardins, Guillaume, Cornero, Marco, Robenek, Brona, Mittal, Bhavishya, Albrecht, Ben, Shenoy, Ashish, Moiseev, Fedor, Jacobsson, Henrik, Ghaffarkhah, Alireza, Rivière, Morgane, Walton, Alanna, Crepy, Clément, Parrish, Alicia, Zhou, Zongwei, Farabet, Clement, Radebaugh, Carey, Srinivasan, Praveen, van der Salm, Claudia, Fidjeland, Andreas, Scellato, Salvatore, Latorre-Chimoto, Eri, Klimczak-Plucińska, Hanna, Bridson, David, de Cesare, Dario, Hudson, Tom, Mendolicchio, Piermaria, Walker, Lexi, Morris, Alex, Mauger, Matthew, Guseynov, Alexey, Reid, Alison, Odoom, Seth, Loher, Lucia, Cotruta, Victor, Yenugula, Madhavi, Grewe, Dominik, Petrushkina, Anastasia, Duerig, Tom, Sanchez, Antonio, Yadlowsky, Steve, Shen, Amy, Globerson, Amir, Webb, Lynette, Dua, Sahil, Li, Dong, Bhupatiraju, Surya, Hurt, Dan, Qureshi, Haroon, Agarwal, Ananth, Shani, Tomer, Eyal, Matan, Khare, Anuj, Belle, Shreyas Rammohan, Wang, Lei, Tekur, Chetan, Kale, Mihir Sanjay, Wei, Jinliang, Sang, Ruoxin, Saeta, Brennan, Liechty, Tyler, Sun, Yi, Zhao, Yao, Lee, Stephan, Nayak, Pandu, Fritz, Doug, Vuyyuru, Manish Reddy, Aslanides, John, Vyas, Nidhi, Wicke, Martin, Ma, Xiao, Eltyshev, Evgenii, Martin, Nina, Cate, Hardie, Manyika, James, Amiri, Keyvan, Kim, Yelin, Xiong, Xi, Kang, Kai, Luisier, Florian, Tripuraneni, Nilesh, Madras, David, Guo, Mandy, Waters, Austin, Wang, Oliver, Ainslie, Joshua, Baldridge, Jason, Zhang, Han, Pruthi, Garima, Bauer, Jakob, Yang, Feng, Mansour, Riham, Gelman, Jason, Xu, Yang, Polovets, George, Liu, Ji, Cai, Honglong, Chen, Warren, Sheng, XiangHai, Xue, Emily, Ozair, Sherjil, Angermueller, Christof, Li, Xiaowei, Sinha, Anoop, Wang, Weiren, Wiesinger, Julia, Koukoumidis, Emmanouil, Tian, Yuan, Iyer, Anand, Gurumurthy, Madhu, Goldenson, Mark, Shah, Parashar, Blake, MK, Yu, Hongkun, Urbanowicz, Anthony, Palomaki, Jennimaria, Fernando, Chrisantha, Durden, Ken, Mehta, Harsh, Momchev, Nikola, Rahimtoroghi, Elahe, Georgaki, Maria, Raul, Amit, Ruder, Sebastian, Redshaw, Morgan, Lee, Jinhyuk, Zhou, Denny, Jalan, Komal, Li, Dinghua, Hechtman, Blake, Schuh, Parker, Nasr, Milad, Milan, Kieran, Mikulik, Vladimir, Franco, Juliana, Green, Tim, Nguyen, Nam, Kelley, Joe, Mahendru, Aroma, Hu, Andrea, Howland, Joshua, Vargas, Ben, Hui, Jeffrey, Bansal, Kshitij, Rao, Vikram, Ghiya, Rakesh, Wang, Emma, Ye, Ke, Sarr, Jean Michel, Preston, Melanie Moranski, Elish, Madeleine, Li, Steve, Kaku, Aakash, Gupta, Jigar, Pasupat, Ice, Juan, Da-Cheng, Someswar, Milan, M., Tejvi, Chen, Xinyun, Amini, Aida, Fabrikant, Alex, Chu, Eric, Dong, Xuanyi, Muthal, Amruta, Buthpitiya, Senaka, Jauhari, Sarthak, Khandelwal, Urvashi, Hitron, Ayal, Ren, Jie, Rinaldi, Larissa, Drath, Shahar, Dabush, Avigail, Jiang, Nan-Jiang, Godhia, Harshal, Sachs, Uli, Chen, Anthony, Fan, Yicheng, Taitelbaum, Hagai, Noga, Hila, Dai, Zhuyun, Wang, James, Hamer, Jenny, Ferng, Chun-Sung, Elkind, Chenel, Atias, Aviel, Lee, Paulina, Listík, Vít, Carlen, Mathias, van de Kerkhof, Jan, Pikus, Marcin, Zaher, Krunoslav, Müller, Paul, Zykova, Sasha, Stefanec, Richard, Gatsko, Vitaly, Hirnschall, Christoph, Sethi, Ashwin, Xu, Xingyu Federico, Ahuja, Chetan, Tsai, Beth, Stefanoiu, Anca, Feng, Bo, Dhandhania, Keshav, Katyal, Manish, Gupta, Akshay, Parulekar, Atharva, Pitta, Divya, Zhao, Jing, Bhatia, Vivaan, Bhavnani, Yashodha, Alhadlaq, Omar, Li, Xiaolin, Danenberg, Peter, Tu, Dennis, Pine, Alex, Filippova, Vera, Ghosh, Abhipso, Limonchik, Ben, Urala, Bhargava, Lanka, Chaitanya Krishna, Clive, Derik, Li, Edward, Wu, Hao, Hongtongsak, Kevin, Li, Ianna, Thakkar, Kalind, Omarov, Kuanysh, Majmundar, Kushal, Alverson, Michael, Kucharski, Michael, Patel, Mohak, Jain, Mudit, Zabelin, Maksim, Pelagatti, Paolo, Kohli, Rohan, Kumar, Saurabh, Kim, Joseph, Sankar, Swetha, Shah, Vineet, Ramachandruni, Lakshmi, Zeng, Xiangkai, Bariach, Ben, Weidinger, Laura, Vu, Tu, Andreev, Alek, He, Antoine, Hui, Kevin, Kashem, Sheleem, Subramanya, Amar, Hsiao, Sissie, Hassabis, Demis, Kavukcuoglu, Koray, Sadovsky, Adam, Le, Quoc, Strohman, Trevor, Wu, Yonghui, Petrov, Slav, Dean, Jeffrey, and Vinyals, Oriol

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks - notably being the first model to achieve human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of the Gemini family in cross-modal reasoning and language understanding will enable a wide variety of use cases. We discuss our approach toward post-training and deploying Gemini models responsibly to users through services including Gemini, Gemini Advanced, Google AI Studio, and Cloud Vertex AI.

Published
2023

10. Integrating mHealth and Systems Science: A Combination Approach to Prevent and Treat Chronic Health Conditions

Author

Oreskovic, Nicolas Michel, Huang, Terry T, and Moon, Jon

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

Chronic health conditions are a growing global health concern and account for over half of all deaths worldwide. Finding ways to decrease the burden of and resources allotted to chronic health conditions is of primary importance. Recent advances in technology and insights into modeling techniques offer promising approaches, which if combined, represent a novel direction that would further advance the prevention and treatment of chronic health conditions.

Published
2015
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11. Toward a more comprehensive understanding of organizational influences on implementation: the organization theory for implementation science framework.

Author

Birken, Sarah, Wagi, Cheyenne, Peluso, Alexandra, Kegler, Michelle, Baloh, Jure, Adsul, Prajakta, Fernandez, Maria, Masud, Manal, Huang, Terry, Lee, Matthew, Wangen, Mary, Nilsen, Per, Bender, Miriam, Choy-Brown, Mimi, Ryan, Grace, Randazzo, Aliza, and Ko, Linda

Subjects
concept mapping, consensus-building, determinant framework, implementation, organization theory
Abstract

INTRODUCTION: Implementation is influenced by factors beyond individual clinical settings. Nevertheless, implementation research often focuses on factors related to individual providers and practices, potentially due to limitations of available frameworks. Extant frameworks do not adequately capture the myriad organizational influences on implementation. Organization theories capture diverse organizational influences but remain underused in implementation science. To advance their use among implementation scientists, we distilled 70 constructs from nine organization theories identified in our previous work into theoretical domains in the Organization Theory for Implementation Science (OTIS) framework. METHODS: The process of distilling organization theory constructs into domains involved concept mapping and iterative consensus-building. First, we recruited organization and implementation scientists to participate in an online concept mapping exercise in which they sorted organization theory constructs into domains representing similar theoretical concepts. Multidimensional scaling and hierarchical cluster analyses were used to produce visual representations (clusters) of the relationships among constructs in concept maps. Second, to interpret concept maps, we engaged members of the Cancer Prevention and Control Research Network (CPCRN) OTIS workgroup in consensus-building discussions. RESULTS: Twenty-four experts participated in concept mapping. Based on resulting construct groupings coherence, OTIS workgroup members selected the 10-cluster solution (from options of 7-13 clusters) and then reorganized clusters in consensus-building discussions to increase coherence. This process yielded six final OTIS domains: organizational characteristics (e.g., size; age); governance and operations (e.g., organizational and social subsystems); tasks and processes (e.g., technology cycles; excess capacity); knowledge and learning (e.g., tacit knowledge; sense making); characteristics of a population of organizations (e.g., isomorphism; selection pressure); and interorganizational relationships (e.g., dominance; interdependence). DISCUSSION: Organizational influences on implementation are poorly understood, in part due to the limitations of extant frameworks. To improve understanding of organizational influences on implementation, we distilled 70 constructs from nine organization theories into six domains. Applications of the OTIS framework will enhance understanding of organizational influences on implementation, promote theory-driven strategies for organizational change, improve understanding of mechanisms underlying relationships between OTIS constructs and implementation, and allow for framework refinement. Next steps include testing the OTIS framework in implementation research and adapting it for use among policymakers and practitioners.

Published
2023

12. Area Characteristics and Consumer Nutrition Environments in Restaurants: an Examination of Hispanic Caribbean Restaurants in New York City

Author

Fuster, Melissa, Kodali, Hanish, Ray, Krishnendu, Elbel, Brian, Handley, Margaret A, Huang, Terry T-K, and Johnson, Glen

Subjects
Public Health, Health Sciences, Nutrition, Cancer, Prevention, Diet, Healthy, Hispanic or Latino, Humans, New York City, Nutrition Surveys, Restaurants, Food environments, Latin, Hispanic population, Diet, GIS, Latin/Hispanic population, Public Health and Health Services, Public health
Abstract

Hispanics in the USA, particularly those of Caribbean descent, experience high levels of diet-related diseases and dietary risk factors. Restaurants are an increasingly important yet understudied source of food and may present opportunities to positively influence urban food environments. We sought to explore food environments further, by examining the association between neighborhood characteristics and restaurant consumer nutrition environments within New York City's Hispanic Caribbean (HC) restaurant environments. We applied an adapted version of the Nutrition Environment Measurements Survey for Restaurants (NEMS-R) to evaluate a random sample of HC restaurants (n=89). NEMS-HCR scores (continuous and categorized as low, medium, and high based on data distribution) were examined against area sociodemographic characteristics using bivariate and logistic regression analysis. HC restaurants located in Hispanic geographic enclaves had a higher proportion of fried menu items (p6), compared with their medium (aOR: 6.6, 95% CI: 1.8-24.6) and large counterparts (aOR: 5.6, 95% CI: 1.5-21.4). This research is the first to examine the association between restaurant location and consumer nutrition environments, providing information to contribute to future interventions and policies seeking to improve urban food environments in communities disproportionately affected by diet-related conditions, as in the case of HC communities in New York City.

Published
2022

13. A global research priority agenda to advance public health responses to fatty liver disease

Author

Lazarus, Jeffrey V., Mark, Henry E., Allen, Alina M., Arab, Juan Pablo, Carrieri, Patrizia, Noureddin, Mazen, Alazawi, William, Alkhouri, Naim, Alqahtani, Saleh A., Arrese, Marco, Bataller, Ramon, Berg, Thomas, Brennan, Paul N., Burra, Patrizia, Castro-Narro, Graciela E., Cortez-Pinto, Helena, Cusi, Kenneth, Dedes, Nikos, Duseja, Ajay, Francque, Sven M., Hagström, Hannes, Huang, Terry T-K., Wajcman, Dana Ivancovsky, Kautz, Achim, Kopka, Christopher J., Krag, Aleksander, Miller, Veronica, Newsome, Philip N., Rinella, Mary E., Romero, Diana, Sarin, Shiv Kumar, Silva, Marcelo, Spearman, C. Wendy, Tsochatzis, Emmanuel A., Valenti, Luca, Villota-Rivas, Marcela, Zelber-Sagi, Shira, Schattenberg, Jörn M., Wong, Vincent Wai-Sun, Younossi, Zobair M., Aberg, Fredrik, Adams, Leon, Al-Naamani, Khalid, Albadawy, Reda M., Alexa, Zinaida, Allison, Michael, Alnaser, Faisal A., Alswat, Khalid, Alvares-da-Silva, Mario Reis, Alvaro, Domenico, Alves-Bezerra, Michele, Andrade, Raul J., Anstee, Quentin M., Awuku, Yaw Asante, Baatarkhuu, Oidov, Baffy, Gyorgy, Bakieva, Shokhista, Bansal, Meena B., Barouki, Robert, Batterham, Rachel L., Behling, Cynthia, Belfort-DeAguiar, Renata, Berzigotti, Annalisa, Betel, Michael, Bianco, Cristiana, Bosi, Emanuele, Boursier, Jerome, Brunt, Elizabeth M., Bugianesi, Elisabetta, Byrne, Christopher J., Cabrera Cabrejos, Maria Cecilia, Caldwell, Stephen, Carr, Rotonya, Castellanos Fernández, Marlen Ivón, Castera, Laurent, Castillo-López, Maria Gabriela, Caussy, Cyrielle, Cerda-Reyes, Eira, Ceriello, Antonio, Chan, Wah- Kheong, Chang, Yoosoo, Charatcharoenwitthaya, Phunchai, Chavez-Tapia, Norberto, Chung, Raymond T., Colombo, Massimo, Coppell, Kirsten, Cotrim, Helma P., Craxi, Antonio, Crespo, Javier, Dassanayake, Anuradha, Davidson, Nicholas O., De Knegt, Robert, de Ledinghen, Victor, Demir, Münevver, Desalegn, Hailemichael, Diago, Moises, Dillon, John F., Dimmig, Bruce, Dirac, M. Ashworth, Dirchwolf, Melisa, Dufour, Jean-François, Dvorak, Karel, Ekstedt, Mattias, El-Kassas, Mohamed, Elsanousi, Osama M., Elsharkawy, Ahmed M., Elwakil, Reda, Eskridge, Wayne, Eslam, Mohammed, Esmat, Gamal, Fan, Jian- Gao, Ferraz, Maria Lucia, Flisiak, Robert, Fortin, Davide, Fouad, Yasser, Freidman, Scott L., Fuchs, Michael, Gadano, Adrian, Gastaldelli, Amalia, Geerts, Anja, Geier, Andreas, George, Jacob, Gerber, Lynn H., Ghazinyan, Hasmik, Gheorghe, Liana, Kile, Denise Giangola, Girala, Marcos, Boon Bee, George Goh, Goossens, Nicolas, Graupera, Isabel, Grønbæk, Henning, Hamid, Saeed, Hebditch, Vanessa, Henry, Zachary, Hickman, Ingrid J., Hobbs, L. Ansley, Hocking, Samantha L., Hofmann, Wolf Peter, Idilman, Ramazan, Iruzubieta, Paula, Isaacs, Scott, Isakov, Vasily A., Ismail, Mona H., Jamal, Mohammad H., Jarvis, Helen, Jepsen, Peter, Jornayvaz, François, Sudhamshu, K.C., Kakizaki, Satoru, Karpen, Saul, Kawaguchi, Takumi, Keating, Shelley E., Khader, Yousef, Kim, Seung Up, Kim, Won, Kleiner, David E., Koek, Ger, Joseph Komas, Narcisse Patrice, Kondili, Loreta A., Koot, Bart G., Korenjak, Marko, Kotsiliti, Eleni, Koulla, Yiannoula, Kugelmas, Carina, Kugelmas, Marcelo, Labidi, Asma, Lange, Naomi F., Lavine, Joel E., Lazo, Mariana, Leite, Nathalie, Lin, Han-Chieh, Lkhagvaa, Undram, Long, Michelle T., Lopez-Jaramillo, Patricio, Lozano, Adelina, Macedo, Maria Paula, Malekzadeh, Reza, Marchesini, Giulio, Marciano, Sebastian, Martinez, Kim, Martínez Vázquez, Sophia E., Mateva, Lyudmila, Mato, José M., Nlombi, Charles Mbendi, McCary, Alexis Gorden, McIntyre, Jeff, McKee, Martin, Mendive, Juan M., Mikolasevic, Ivana, Miller, Pamela S., Milovanovic, Tamara, Milton, Terri, Moreno-Alcantar, Rosalba, Morgan, Timothy R., Motala, Ayesha, Muris, Jean, Musso, Carla, Nava-González, Edna J., Negro, Francesco, Nersesov, Alexander V., Neuschwander-Tetri, Brent A., Nikolova, Dafina, Norris, Suzanne, Novak, Katja, Ocama, Ponsiano, Ong, Janus P., Ong-Go, Arlinking, Onyekwere, Charles, Padilla, Martin, Pais, Raluca, Pan, Calvin, Panduro, Arturo, Panigrahi, Manas K., Papatheodoridis, Georgios, Paruk, Imran, Patel, Keyur, Gonçalves, Carlos Penha, Figueroa, Marlene Pérez, Pérez-Escobar, Juanita, Pericàs, Juan M., Perseghin, Gianluca, Pessoa, Mário Guimarães, Petta, Salvatore, Marques Souza de Oliveira, Claudia Pinto, Prabhakaran, Dorairaj, Pyrsopoulous, Nikolaos, Rabiee, Atoosa, Ramji, Alnoor, Ratziu, Vlad, Ravendhran, Natarajan, Ray, Katrina, Roden, Michael, Romeo, Stefano, Romero-Gómez, Manuel, Rotman, Yaron, Rouabhia, Samir, Rowe, Ian A., Sadirova, Shakhlo, Alkhatry, Maryam Salem, Salupere, Riina, Satapathy, Sanjaya K., Schwimmer, Jeffrey B., Sebastiani, Giada, Seim, Lynn, Seki, Yosuke, Serme, Abdel Karim, Shapiro, David, Sharvadze, Lali, Shaw, Jonathan E., Shawa, Isaac Thom, Shenoy, Thrivikrama, Shibolet, Oren, Shimakawa, Yusuke, Shubrook, Jay H., Singh, Shivaram Prasad, Sinkala, Edford, Skladany, Lubomir, Skrypnyk, Igor, Song, Myeong Jun, Sookoian, Silvia, Sridharan, Kannan, Stefan, Norbert, Stine, Jonathan G., Stratakis, Nikolaos, Sheriff, Dhastagir Sultan, Sundaram, Shikha S., Svegliati-Baroni, Gianluca, Swain, Mark G., Tacke, Frank, Taheri, Shahrad, Tan, Soek-Siam, Tapper, Elliot B., Targher, Giovanni, Tcaciuc, Eugen, Thiele, Maja, Tiniakos, Dina, Tolmane, Ieva, Torre, Aldo, Torres, Esther A., Treeprasertsuk, Sombat, Trenell, Michael, Turcan, Svetlana, Turcanu, Adela, Valantinas, Jonas, van Kleef, Laurens A., Velarde Ruiz Velasco, Jose Antonio, Vesterhus, Mette, Vilar-Gomez, Eduardo, Waked, Imam, Wattacheril, Julia, Wedemeyer, Heiner, Wilkins, Fonda, Willemse, José, Wong, Robert J., Yilmaz, Yusuf, Yki-Järvinen, Hannele, Yu, Ming-Lung, Yumuk, Volkan, Zeybel, Müjdat, Zheng, Kenneth I., Zheng, Ming-Hua, and Huang, Terry T.-K.

Published
2023
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14. EncT5: A Framework for Fine-tuning T5 as Non-autoregressive Models

Author

Liu, Frederick, Huang, Terry, Lyu, Shihang, Shakeri, Siamak, Yu, Hongkun, and Li, Jing

Subjects
Computer Science - Computation and Language
Abstract

Pre-trained encoder-decoder transformer architectures have become increasingly popular recently with the advent of T5 models. T5 has also become more favorable over other architectures like BERT due to the amount of data that it is pre-trained on, increased scale of model parameter sizes and easy applicability to a diverse set of tasks due to the generative nature of the model. While being able to generalize to a wide variety of tasks, it is not clear that encoder-decoder architectures are the most efficient for fine-tuning tasks that don't require auto-regressive decoding. In this work, we study fine-tuning pre-trained encoder-decoder models for tasks such as classification, multi-label classification, and structured prediction. We propose \textbf{EncT5}, a framework for these problems, and illustrate instantiations for these tasks. Our experiment results show that EncT5 has advantages over T5 such as efficiency and usability out performs BERT when evaluated on publicly available pre-trained checkpoints., Comment: Update multi-label and structured prediction results

Published
2021

19. Effects of the Communities that Heal (CTH) intervention on perceived opioid-related community stigma in the HEALing Communities Study: results of a multi-site, community-level, cluster-randomized trial

Author

Davis, Alissa, Knudsen, Hannah K., Walker, Daniel M., Chassler, Deborah, Lunze, Karsten, Westgate, Philip M., Oga, Emmanuel, Rodriguez, Sandra, Tan, Sylvia, Holloway, JaNae, Walsh, Sharon L., Oser, Carrie B., Lefebvre, R. Craig, Fanucchi, Laura C., Glasgow, LaShawn, McAlearney, Ann Scheck, Surratt, Hilary L., Konstan, Michael W., Huang, Terry T.-K., LeBaron, Patricia, Nakayima, Julie, Stein, Michael D., Rudorf, Maria, Nouvong, Monica, Kinnard, Elizabeth N., El-Bassel, Nabila, Tilley, Jess, Macoubray, Aaron, Savitzky, Caroline, Farmer, Amy, Beers, Donna, Salsberry, Pamela, and Huerta, Timothy R.

Published
2024
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20. Area Characteristics and Consumer Nutrition Environments in Restaurants: an Examination of Hispanic Caribbean Restaurants in New York City.

Author

Fuster, Melissa, Kodali, Hanish, Ray, Krishnendu, Elbel, Brian, Handley, Margaret A, Huang, Terry T-K, and Johnson, Glen

Subjects
Diet, Food environments, GIS, Latin/Hispanic population, Restaurants, Latin, Hispanic population, Public Health and Health Services
Abstract

Hispanics in the USA, particularly those of Caribbean descent, experience high levels of diet-related diseases and dietary risk factors. Restaurants are an increasingly important yet understudied source of food and may present opportunities to positively influence urban food environments. We sought to explore food environments further, by examining the association between neighborhood characteristics and restaurant consumer nutrition environments within New York City's Hispanic Caribbean (HC) restaurant environments. We applied an adapted version of the Nutrition Environment Measurements Survey for Restaurants (NEMS-R) to evaluate a random sample of HC restaurants (n=89). NEMS-HCR scores (continuous and categorized as low, medium, and high based on data distribution) were examined against area sociodemographic characteristics using bivariate and logistic regression analysis. HC restaurants located in Hispanic geographic enclaves had a higher proportion of fried menu items (p6), compared with their medium (aOR: 6.6, 95% CI: 1.8-24.6) and large counterparts (aOR: 5.6, 95% CI: 1.5-21.4). This research is the first to examine the association between restaurant location and consumer nutrition environments, providing information to contribute to future interventions and policies seeking to improve urban food environments in communities disproportionately affected by diet-related conditions, as in the case of HC communities in New York City.

Published
2021

26. Early childhood executive control modulates negative affectivity's role in increasing adolescent body mass index trajectories.

Author

Tomaso, Cara C., James, Tiffany D., Brock, Rebecca L., Yaroch, Amy L., Hill, Jennie L., Huang, Terry T., Nelson, Jennifer M., Mason, W. Alex, Espy, Kimberly A., and Nelson, Timothy D.

Subjects
RISK assessment, PARENTS, TEMPERAMENT, BODY mass index, TASK performance, RESEARCH funding, EXECUTIVE function, QUESTIONNAIRES, DESCRIPTIVE statistics, LONGITUDINAL method, AFFECT (Psychology), CHILDHOOD obesity, DISEASE risk factors, ADOLESCENCE, CHILDREN
Abstract

Summary: Background: Executive control and temperament have been associated with pediatric obesity. However, interactions between these constructs in relation to future weight outcomes have not been investigated. Objective: This longitudinal study examined early childhood executive control, early temperament (negative affectivity and surgency), and their interactions as predictors of adolescent BMI trajectories. Methods: At age 5.25, children (N = 229) completed executive control tasks, and parents completed the Child Behavior Questionnaire to assess temperament. BMI was calculated annually between ages 14–17. Results: Greater early negative affectivity predicted more positive BMI growth. Although early childhood executive control was not associated with BMI growth, greater negative affectivity predicted greater BMI escalation at average and below average executive control abilities. Conclusions: For children without robust executive control abilities early in development, negative affectivity may be a risk factor for accelerated adolescent BMI growth. Targeted assessment of early risk factors may be useful for childhood obesity prevention efforts. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Advancing the global public health agenda for NAFLD: a consensus statement

Author

Lazarus, Jeffrey V., Mark, Henry E., Anstee, Quentin M., Arab, Juan Pablo, Batterham, Rachel L., Castera, Laurent, Cortez-Pinto, Helena, Crespo, Javier, Cusi, Kenneth, Dirac, M. Ashworth, Francque, Sven, George, Jacob, Hagström, Hannes, Huang, Terry T.-K., Ismail, Mona H., Kautz, Achim, Sarin, Shiv Kumar, Loomba, Rohit, Miller, Veronica, Newsome, Philip N., Ninburg, Michael, Ocama, Ponsiano, Ratziu, Vlad, Rinella, Mary, Romero, Diana, Romero-Gómez, Manuel, Schattenberg, Jörn M., Tsochatzis, Emmanuel A., Valenti, Luca, Wong, Vincent Wai-Sun, Yilmaz, Yusuf, Younossi, Zobair M., and Zelber-Sagi, Shira

Published
2022
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31. A global action agenda for turning the tide on fatty liver disease

Author

Lazarus, J, Mark, H, Allen, A, Arab, J, Carrieri, P, Noureddin, M, Alazawi, W, Alkhouri, N, Alqahtani, S, Anstee, Q, Arrese, M, Bataller, R, Berg, T, Brennan, P, Burra, P, Castro-Narro, G, Cortez-Pinto, H, Cusi, K, Dedes, N, Duseja, A, Francque, S, Gastaldelli, A, Hagström, H, Huang, T, Ivancovsky Wajcman, D, Kautz, A, Kopka, C, Krag, A, Newsome, P, Rinella, M, Romero, D, Sarin, S, Silva, M, Spearman, C, Terrault, N, Tsochatzis, E, Valenti, L, Villota-Rivas, M, Zelber-Sagi, S, Schattenberg, J, Wong, V, Younossi, Z, Perseghin, G, Lazarus, Jeffrey V, Mark, Henry E, Allen, Alina M, Arab, Juan Pablo, Carrieri, Patrizia, Noureddin, Mazen, Alazawi, William, Alkhouri, Naim, Alqahtani, Saleh A, Anstee, Quentin M, Arrese, Marco, Bataller, Ramon, Berg, Thomas, Brennan, Paul N, Burra, Patrizia, Castro-Narro, Graciela E, Cortez-Pinto, Helena, Cusi, Kenneth, Dedes, Nikos, Duseja, Ajay, Francque, Sven M, Gastaldelli, Amalia, Hagström, Hannes, Huang, Terry T K, Ivancovsky Wajcman, Dana, Kautz, Achim, Kopka, Christopher J, Krag, Aleksander, Newsome, Philip N, Rinella, Mary E, Romero, Diana, Sarin, Shiv Kumar, Silva, Marcelo, Spearman, C Wendy, Terrault, Norah A, Tsochatzis, Emmanuel A, Valenti, Luca, Villota-Rivas, Marcela, Zelber-Sagi, Shira, Schattenberg, Jörn M, Wong, Vincent Wai-Sun, Younossi, Zobair M, Perseghin, Gianluca, Lazarus, J, Mark, H, Allen, A, Arab, J, Carrieri, P, Noureddin, M, Alazawi, W, Alkhouri, N, Alqahtani, S, Anstee, Q, Arrese, M, Bataller, R, Berg, T, Brennan, P, Burra, P, Castro-Narro, G, Cortez-Pinto, H, Cusi, K, Dedes, N, Duseja, A, Francque, S, Gastaldelli, A, Hagström, H, Huang, T, Ivancovsky Wajcman, D, Kautz, A, Kopka, C, Krag, A, Newsome, P, Rinella, M, Romero, D, Sarin, S, Silva, M, Spearman, C, Terrault, N, Tsochatzis, E, Valenti, L, Villota-Rivas, M, Zelber-Sagi, S, Schattenberg, J, Wong, V, Younossi, Z, Perseghin, G, Lazarus, Jeffrey V, Mark, Henry E, Allen, Alina M, Arab, Juan Pablo, Carrieri, Patrizia, Noureddin, Mazen, Alazawi, William, Alkhouri, Naim, Alqahtani, Saleh A, Anstee, Quentin M, Arrese, Marco, Bataller, Ramon, Berg, Thomas, Brennan, Paul N, Burra, Patrizia, Castro-Narro, Graciela E, Cortez-Pinto, Helena, Cusi, Kenneth, Dedes, Nikos, Duseja, Ajay, Francque, Sven M, Gastaldelli, Amalia, Hagström, Hannes, Huang, Terry T K, Ivancovsky Wajcman, Dana, Kautz, Achim, Kopka, Christopher J, Krag, Aleksander, Newsome, Philip N, Rinella, Mary E, Romero, Diana, Sarin, Shiv Kumar, Silva, Marcelo, Spearman, C Wendy, Terrault, Norah A, Tsochatzis, Emmanuel A, Valenti, Luca, Villota-Rivas, Marcela, Zelber-Sagi, Shira, Schattenberg, Jörn M, Wong, Vincent Wai-Sun, Younossi, Zobair M, and Perseghin, Gianluca

Abstract

Background and Aims: Fatty liver disease is a major public health threat due to its very high prevalence and related morbidity and mortality. Focused and dedicated interventions are urgently needed to target disease prevention, treatment, and care. Approach and Results: We developed an aligned, prioritized action agenda for the global fatty liver disease community of practice. Following a Delphi methodology over 2 rounds, a large panel (R1 n = 344, R2 n = 288) reviewed the action priorities using Qualtrics XM, indicating agreement using a 4-point Likert-scale and providing written feedback. Priorities were revised between rounds, and in R2, panelists also ranked the priorities within 6 domains: epidemiology, treatment and care, models of care, education and awareness, patient and community perspectives, and leadership and public health policy. The consensus fatty liver disease action agenda encompasses 29 priorities. In R2, the mean percentage of “agree” responses was 82.4%, with all individual priorities having at least a super-majority of agreement (> 66.7% “agree”). The highest-ranked action priorities included collaboration between liver specialists and primary care doctors on early diagnosis, action to address the needs of people living with multiple morbidities, and the incorporation of fatty liver disease into relevant non-communicable disease strategies and guidance. Conclusions: This consensus-driven multidisciplinary fatty liver disease action agenda developed by care providers, clinical researchers, and public health and policy experts provides a path to reduce fatty liver disease prevalence and improve health outcomes. To implement this agenda, concerted efforts will be needed at the global, regional, and national levels.

Published
2024

32. The HEALing (Helping to End Addiction Long-term SM) Communities Study: Protocol for a cluster randomized trial at the community level to reduce opioid overdose deaths through implementation of an integrated set of evidence-based practices

Author

Walsh, Sharon L., El-Bassel, Nabila, Jackson, Rebecca D., Samet, Jeffrey H., Aggarwal, Maneesha, Aldridge, Arnie P., Baker, Trevor, Barbosa, Carolina, Barocas, Joshua A., Battaglia, Tracy A., Beers, Donna, Bernson, Dana, Bowers-Sword, Rachel, Bridden, Carly, Brown, Jennifer L., Bush, Heather M., Bush, Joshua L., Button, Amy, Campbell, Aimee N.C., Cerda, Magdalena, Cheng, Debbie M., Chhatwal, Jag, Clarke, Thomas, Conway, Kevin P., Crable, Erika L., Czajkowski, Andrea, David, James L., Drainoni, Mari-Lynn, Fanucchi, Laura C., Feaster, Daniel J., Fernandez, Soledad, Freedman, Darcy, Freisthler, Bridget, Gilbert, Louisa, Glasgow, LaShawn M., Goddard-Eckrich, Dawn, Gutnick, Damara, Harlow, Kristin, Helme, Donald W., Huang, Terry, Huerta, Timothy R., Hunt, Timothy, Hyder, Ayaz, Kerner, Robin, Keyes, Katherine, Knott, Charles E., Knudsen, Hannah K., Konstan, Michael, Larochelle, Marc R., Craig Lefebvre, R., Levin, Frances, Lewis, Nicky, Linas, Benjamin P., Lofwall, Michelle R., Lounsbury, David, Lyons, Michael S., Mann, Sarah, Marks, Katherine R., McAlearney, Ann, McCollister, Kathryn E., McCrimmon, Tara, Miles, Jennifer, Miller, Cortney C., Nash, Denis, Nunes, Edward, Oga, Emmanuel A., Oser, Carrie B., Plouck, Tracy, Rapkin, Bruce, Freeman, Patricia R., Rodriguez, Sandra, Root, Elisabeth, Rosen-Metsch, Lisa, Sabounchi, Nasim, Saitz, Richard, Salsberry, Pamela, Savitsky, Caroline, Schackman, Bruce R., Seiber, Eric E., Slater, Michael D., Slavova, Svetla, Speer, Drew, Martinez, Linda Sprague, Stambaugh, Leyla F., Staton, Michele, Stein, Michael D., Stevens-Watkins, Danelle J., Surratt, Hilary L., Talbert, Jeffery C., Thompson, Katherine L., Toussant, Kim, Vandergrift, Nathan A., Villani, Jennifer, Walker, Daniel M., Walley, Alexander Y., Walters, Scott T., Westgate, Philip M., Winhusen, Theresa, Wu, Elwin, Young, April M., Young, Greg, Zarkin, Gary A., and Chandler, Redonna K.

Published
2020
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34. Exploring the Interaction Between Preschool Executive Control and Caregiver Emotion Socialization in Predicting Adolescent Weight Trajectories

Author

Laifer, Lauren M., primary, Brock, Rebecca L., additional, Tomaso, Cara C., additional, James, Tiffany D., additional, Yaroch, Amy L., additional, Hill, Jennie L., additional, Huang, Terry T., additional, Nelson, Jennifer Mize, additional, Mason, W. Alex, additional, Espy, Kimberly Andrews, additional, and Nelson, Timothy D., additional

Published
2023
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37. Research Methodologies for Total Worker Health ® : Proceedings From a Workshop

Author

Tamers, Sara L., Goetzel, Ron, Kelly, Kevin M., Luckhaupt, Sara, Nigam, Jeannie, Pronk, Nicolaas P., Rohlman, Diane S., Baron, Sherry, Brosseau, Lisa M., Bushnell, Tim, Campo, Shelly, Chang, Chia-Chia, Childress, Adele, Chosewood, L. Casey, Cunningham, Thomas, Goldenhar, Linda M., Huang, Terry T.-K., Hudson, Heidi, Linnan, Laura, Newman, Lee S., Olson, Ryan, Ozminkowski, Ronald J., Punnett, Laura, Schill, Anita, Scholl, Juliann, and Sorensen, Glorian

Published
2018

39. Joint international consensus statement for ending stigma of obesity

Author

Rubino, Francesco, Puhl, Rebecca M., Cummings, David E., Eckel, Robert H., Ryan, Donna H., Mechanick, Jeffrey I., Nadglowski, Joe, Ramos Salas, Ximena, Schauer, Phillip R., Twenefour, Douglas, Apovian, Caroline M., Aronne, Louis J., Batterham, Rachel L., Berthoud, Hans-Rudolph, Boza, Camilo, Busetto, Luca, Dicker, Dror, De Groot, Mary, Eisenberg, Daniel, Flint, Stuart W., Huang, Terry T., Kaplan, Lee M., Kirwan, John P., Korner, Judith, Kyle, Ted K., Laferrère, Blandine, le Roux, Carel W., McIver, LaShawn, Mingrone, Geltrude, Nece, Patricia, Reid, Tirissa J., Rogers, Ann M., Rosenbaum, Michael, Seeley, Randy J., Torres, Antonio J., and Dixon, John B.

Published
2020
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40. South‐to‐South parental migration patterns and excess weight among children: Insights from a national cross‐sectional study in Colombia.

Author

Devia, Carlos, Flórez, Karen, Costa, Sergio A., and Huang, Terry T.‐K.

Subjects
IMMIGRANTS, PSYCHOLOGY of parents, CONFIDENCE intervals, CROSS-sectional method, FOOD security, EMIGRATION & immigration, WEIGHT gain, RISK assessment, DESCRIPTIVE statistics, DISEASE prevalence, LOGISTIC regression analysis, CHILDREN, ADOLESCENCE
Abstract

Summary: Background: Evidence from Latin America suggests that children embedded in South‐to‐North migrant networks (i.e. relatives who live abroad, typically in the United States) are at increased risk of excess weight. It is unclear if the same findings apply to children embedded in Latin American intraregional migration or South‐to‐South migration networks. Objective: To compare excess weight among Colombian children embedded in South‐to‐South migration networks (n = 334) to children with non‐migrant parents (n = 4272) using Colombia's 2015 National Survey of the Nutritional Situation. Methods: Prevalence ratios (PRs) for excess weight (BMI z‐score ≥1) by parent migration history were estimated using weighted multivariable logistic regression adjusting for demographics, child behaviours, community and household indicators, including household food insecurity. Results: Most migrant parents returned to Colombia from Venezuela (84%) and reported higher household food insecurity rates than non‐migrant parents (59% versus 32%). Models excluding household food insecurity showed that excess weight among children with migrant parents was 51% lower (PR = 0.49; 95% CI 0.25, 0.98) than among children with non‐migrant parents. After adjustment for household food insecurity, no statistically significant differences were found. Conclusion: Colombian children with return migrant parents from Venezuela experienced less excess weight than children with non‐migrant parents, but higher rates of food insecurity in migrant households might partially explain this difference. This study calls attention to two serious public health concerns for Colombian children—those who have excess weight and those who lack sufficient food, particularly among migrant returnees (a situation that may have worsened since the COVID‐19 pandemic). [ABSTRACT FROM AUTHOR]

Published
2024
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41. Toward a more comprehensive understanding of organizational influences on implementation: the organization theory for implementation science framework

Author

Birken, Sarah A., primary, Wagi, Cheyenne R., additional, Peluso, Alexandra G., additional, Kegler, Michelle C., additional, Baloh, Jure, additional, Adsul, Prajakta, additional, Fernandez, Maria E., additional, Masud, Manal, additional, Huang, Terry T-K, additional, Lee, Matthew, additional, Wangen, Mary, additional, Nilsen, Per, additional, Bender, Miriam, additional, Choy-Brown, Mimi, additional, Ryan, Grace, additional, Randazzo, Aliza, additional, and Ko, Linda K., additional

Published
2023
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42. Application of group model building in implementation research: A systematic review of the public health and healthcare literature

Author

Estrada-Magbanua, Weanne Myrrh, primary, Huang, Terry T.-K., additional, Lounsbury, David W., additional, Zito, Priscila, additional, Iftikhar, Pulwasha, additional, El-Bassel, Nabila, additional, Gilbert, Louisa, additional, Wu, Elwin, additional, Lee, Bruce Y., additional, Mateu-Gelabert, Pedro, additional, and S. Sabounchi, Nasim, additional

Published
2023
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45. Early Childhood Education and Health Working in Partnership: The Critical Role Early Childhood Educators Can Play in Childhood Obesity Prevention

Author

Skouteris, Helen, Edwards, Susan, Morris, Heather, Cox, Rachael, Baur, Louise, Wolfenden, Luke, and Huang, Terry T. K.

Abstract

Preschool children's interest in popular culture is linked to many determinants of obesity development including branded energy-dense foods and sedentary play using digital technologies. In addition, highly packaged foods and throwaway toys reinforce unsustainable environmental habits encouraged by immersive marketing systems. Interrupting the effects of these systems demands multiple and diverse solutions. Our solution engages early childhood educators in obesity prevention by doing what they do best--pedagogy, curricula and care. Assisting young children to interact with their interests and developing habits like Healthy eating, Active play and environmentally Sustainable practices (HAS) is unique methodology. We believe that building the capacity of educators to co-create HAS curricula using children's interests has the potential to develop life-long well-being and sustainability habits. HAS curricula aid in young children's development of agentic decision-making abilities through the transformation of everyday concepts into higher-order mature concepts.

Published
2017
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49. Evaluating the outcomes and implementation determinants of interventions co-developed using human-centered design to promote healthy eating in restaurants: an application of the consolidated framework for implementation research

Author

Fuster, Melissa, primary, Dimond, Emily, additional, Handley, Margaret A., additional, Rose, Donald, additional, Stoecker, Charles, additional, Knapp, Megan, additional, Elbel, Brian, additional, Conaboy, Cara, additional, and Huang, Terry T. K., additional

Published
2023
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50. Comparing Three Ways to Offer a Weight Management Program to Patients Living in Rural Areas—The RE-POWER Study

Author

Befort, Christie A., primary, VanWormer, Jeffrey J., additional, DeSouza, Cyrus, additional, Ellerbeck, Edward F., additional, Gajewski, Byron, additional, Kimminau, Kim S., additional, Greiner, Allen, additional, Perri, Michael G., additional, Brown, Alexandra R., additional, Pathak, Ram D., additional, Huang, Terry T.K., additional, Eiland, Leslie, additional, Drincic, Andjela, additional, Nelson-Brantley, Heather, additional, and Ellis, Shellie, additional

Published
2021
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