EFFICIENT AND EFFECTIVE USER TARGETED ADVERTISING THROUGH USER DRIVEN SELECTIONS AND USE OF VIDEO AND ELECTRONIC GAMES von MAKOWKA, ADAM, BECK, DUSTIN, KELLER, MORGAN, LEE

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EFFICIENT AND EFFECTIVE USER TARGETED ADVERTISING THROUGH USER DRIVEN SELECTIONS AND USE OF VIDEO AND ELECTRONIC GAMES von MAKOWKA, ADAM, BECK, DUSTIN, KELLER, MORGAN, LEE

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EFFICIENT AND EFFECTIVE USER TARGETED ADVERTISING THROUGH USER DRIVEN SELECTIONS AND USE OF VIDEO AND ELECTRONIC GAMES von KELLER MORGAN LEE, BECK DUSTIN, MAKOWKA ADAM

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Correction: Biologically anchored knowledge expansion approach uncovers KLF4 as a novel insulin signaling regulator von Muthiah, Annamalai, Angulo, Morgan S, Walker, Natalie N, Keller, Susanna R, Lee, Jae K

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SARS-CoV-2 Delta-Omicron Recombinant Viruses, United States von Lacek, Kristine A, Rambo-Martin, Benjamin L, Batra, Dhwani, Zheng, Xiao-Yu, Hassell, Norman, Sakaguchi, Hitoshi, Peacock, Thomas, Groves, Natalie, Keller, Matthew, Wilson, Malania M, Sheth, Mili, Davis, Morgan L, Borroughs, Mark, Gerhart, Jonathan, Shepard, Samuel S, Cook, Peter W, Lee, Justin, Wentworth, David E, Barnes, John R, Kondor, Rebecca, Paden, Clinton R

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Biologically anchored knowledge expansion approach uncovers KLF4 as a novel insulin signaling regulator von Muthiah, Annamalai, Angulo, Morgan S, Walker, Natalie N, Keller, Susanna R, Lee, Jae K

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Solar wind contributions to Earth’s oceans von Daly, Luke, Lee, Martin R., Hallis, Lydia J., Ishii, Hope A., Bradley, John P., Bland, Phillip. A., Saxey, David W., Fougerouse, Denis, Rickard, William D. A., Forman, Lucy V., Timms, Nicholas E., Jourdan, Fred, Reddy, Steven M., Salge, Tobias, Quadir, Zakaria, Christou, Evangelos, Cox, Morgan A., Aguiar, Jeffrey A., Hattar, Khalid, Monterrosa, Anthony, Keller, Lindsay P., Christoffersen, Roy, Dukes, Catherine A., Loeffler, Mark J., Thompson, Michelle S.

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Machine learning for rhabdomyosarcoma histopathology von Frankel, Arthur O., Lathara, Melvin, Shaw, Celine Y., Wogmon, Owen, Jackson, Jacob M., Clark, Mattie M., Eshraghi, Navah, Keenen, Stephanie E., Woods, Andrew D., Purohit, Reshma, Ishi, Yukitomo, Moran, Nirupama, Eguchi, Mariko, Ahmed, Farhat Ul Ain, Khan, Sara, Ioannou, Maria, Perivoliotis, Konstantinos, Li, Pin, Zhou, Huixia, Alkhaledi, Ahmad, Davis, Elizabeth J., Galipeau, Danielle, Randall, R.L., Wozniak, Agnieszka, Schoffski, Patrick, Lee, Che-Jui, Huang, Paul H., Jones, Robin L., Rubin, Brian P., Darrow, Morgan, Srinivasa, Ganapati, Rudzinski, Erin R., Chen, Sonja, Berlow, Noah E., Keller, Charles

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Machine learning for rhabdomyosarcoma histopathology von Frankel, Arthur O, Lathara, Melvin, Shaw, Celine Y, Wogmon, Owen, Jackson, Jacob M, Clark, Mattie M, Eshraghi, Navah, Keenen, Stephanie E, Woods, Andrew D, Purohit, Reshma, Ishi, Yukitomo, Moran, Nirupama, Eguchi, Mariko, Ahmed, Farhat Ul Ain, Khan, Sara, Ioannou, Maria, Perivoliotis, Konstantinos, Li, Pin, Zhou, Huixia, Alkhaledi, Ahmad, Davis, Elizabeth J, Galipeau, Danielle, Randall, R. Lor, Wozniak, Agnieszka, Schoffski, Patrick, Lee, Jerry, Huang, Paul H, Jones, Robin L, Rubin, Brian P, Darrow, Morgan, Srinivasa, Ganapati, Rudzinski, Erin R, Chen, Sonja, Berlow, Noah E, Keller, Charles

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Correction to: Machine learning for rhabdomyosarcoma histopathology von Frankel, Arthur O., Lathara, Melvin, Shaw, Celine Y., Wogmon, Owen, Jackson, Jacob M., Clark, Mattie M., Eshraghi, Navah, Keenen, Stephanie E., Woods, Andrew D., Purohit, Reshma, Ishi, Yukitomo, Moran, Nirupama, Eguchi, Mariko, Ahmed, Farhat Ul Ain, Khan, Sara, Ioannou, Maria, Perivoliotis, Konstantinos, Li, Pin, Zhou, Huixia, Alkhaledi, Ahmad, Davis, Elizabeth J., Galipeau, Danielle, Randall, R.L., Wozniak, Agnieszka, Schoffski, Patrick, Lee, Che-Jui, Huang, Paul H., Jones, Robin L., Rubin, Brian P., Darrow, Morgan, Srinivasa, Ganapati, Rudzinski, Erin R., Chen, Sonja, Berlow, Noah E., Keller, Charles

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88th Annual Meeting of the American Thyroid Association von Carrasco, N., Cabanillas, M.E., Filipsson Nyström, H., Kahaly, G.J., Diana, T., Filipsson Nyström, H., Rodríguez-Jiménez, M., Ishida, E., Nakajima, Y., Huang, Y., Wen, J., Lin, W., Yoshino, S., Akuzawa, M., Kobayashi, I., Siddiqui, U., Hernandez, J., Park, J., Yaqoob, S., Repko, B., Masiuk, S., LAMARTINA, L., Durante, C., Yehya, A., Kasperbauer, J., Nakano, K., Yamashita, S., You, J., Hwangbo, Y., Lee, Y., Han, B., Betances, E., Chan, C., Moretto, F.C., Nunes, M.T., Pesant, M., Yasoda, A., Seong, J., Shah, A., Norman, J., Whitt, J., Virili, C., Guan, H., McAneny, D., Punjwani, Z., Huang, X., Caruso, C., Fontanesi Oliveira, A., Raja, S., Capozza, A., Cheng, K., Bing, W.D., Yang, H., Feterman Jimenez, D., Bullock, M., Clifton-Bligh, R., Elisei, R., Hannema, S., Wasserman, J., Ming, J., Huang, T., Roman, B.R., Li, X., Abdelaal, A., BONG, J., CHANG, W., Osakwe, I., San, K.H., Levy, J., Vinay, K., Shi, Y., Li, Y., Prakash, A., Weber, M., Fairall, L., Chatterjee, K., Santos, R.B., Müller Ferreira Tirapani, W., Shah, M., Zhang, Y., Pötschke, R., Nord, D.G., Finkelstein, S.D., Shiglik, N., Rashid, m., Voogd, A.i., Guerra, J.L., Capdeville, F., richard, c., debreuve, a., Gilbert, R., Banerjee, A., Shong, Y., Bloom, G., Ferreira, E.R., Jain, R., Cordoba-Kissee, M., Doubleday, A., Rashad, Y., Kandil, E.

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Acknowledgement to Reviewers of Journal of Functional Biomaterials in 2019 von Journal Of Functional Biomaterials Editorial Office

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The ABIM and Recertification von Weiss, Kevin B, Bryant, Jr, L Edward, Morgan, Lloyd B, O'Kane, Margaret E

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MINIATURIZED WEARABLE DEVICES FOR ANALYTE MEASUREMENT von REYNA, William Eric, SMITH, Jeffrey J, KEMPKEY, Mark, BAKER, Joseph J, GADD, Craig Thomas, JOHNSTON, Neal D, MEDJO, Nicolas, HOFFMEIER, Carl E, BARRY, John Charles, WOODWARD, Jamison, ABDULLAYEV, Elshad, PETTERSEN, Carl, WANG, Shanger, KALFAS, Nicholas, DURHAM, John, CASTAGNA, Patrick J, LEE, Young Woo, ROBINSON, Morgan Alexander, KELLER, David A, RUKAVINA, John Paul, BARBER, Eunsook Chae, ROGERS, Samuel, THOM, Terry

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MINIATURIZED WEARABLE DEVICES FOR ANALYTE MEASUREMENT von REYNA, William Eric, SMITH, Jeffrey J, KEMPKEY, Mark, BAKER, Joseph J, GADD, Craig Thomas, JOHNSTON, Neal D, MEDJO, Nicolas, HOFFMEIER, Carl E, BARRY, John Charles, WOODWARD, Jamison, ABDULLAYEV, Elshad, PETTERSEN, Carl, WANG, Shanger, KALFAS, Nicholas, DURHAM, John, CASTAGNA, Patrick J, LEE, Young Woo, ROBINSON, Morgan Alexander, KELLER, David A, RUKAVINA, John Paul, BARBER, Eunsook Chae, ROGERS, Samuel, THOM, Terry

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Dense sampling of bird diversity increases power of comparative genomics von Feng, Shaohong, Armstrong, Joel, Fang, Qi, Reeve, Andrew Hart, Xie, Duo, Guo, Chunxue, Faircloth, Brant C, Petersen, Bent, Wang, Zongji, Zhou, Qi, Chen, Wanjun, Margaryan, Ashot, Howard, Jason Travis, Sinding, Mikkel-Holger S, Puetz, Lara, Cavill, Emily, Ribeiro, Angela M, Eckhart, Leopold, Fjeldsa, Jon, Hosner, Peter A, Christidis, Les, Robertson, Bruce C, Song, Gang, Borgia, Gerald, Claramunt, Santiago, Cowen, Saul J, Njoroge, Peter, Dumbacher, John Philip, Ryder, Oliver A, Bunce, Michael, Burt, David W, Cracraft, Joel, Meng, Guanliang, Hackett, Shannon J, Jonsson, Knud Andreas, Braun, Edward L, Houde, Peter, Suh, Alexander, Hansson, Bengt, Sigeman, Hanna, Stervander, Martin, Frandsen, Paul B, van der Zwan, Henriette, van der Sluis, Rencia, Visser, Carina, Fitzpatrick, John W, Bowman, Reed, Cloutier, Alison, Sackton, Timothy B, Edwards, Scott V, Shakya, Subir B, Vignal, Alain, Soares, Andre E. R, Gonzalez-Solis, Jacob, Ferrer-Obiol, Joan, Riutort, Marta, Dalen, Love, Liu, Yang, Campana, Michael G, Corvelo, Andre, Fleischer, Robert C, Rutherford, Kim M, Gemmell, Neil J, Thiele, Nadine, Liedvogel, Miriam, Krone, Oliver, Fudickar, Adam M, Mila, Borja, Fidler, Andrew Eric, Friis, Guillermo, Battley, Phil F, Cox, Murray P, Lima, Nicholas Costa Barroso, Prosdocimi, Francisco, Parchman, Thomas Lee, Lim, Haw Chuan, Day, Lainy B, Fuxjager, Matthew J, Baldwin, Maude W, Braun, Michael J, Wirthlin, Morgan, Dikow, Rebecca B, Ryder, T. Brandt, Keller, Lukas F, Louder, Matthew I. M, Witt, Christopher C, Mudge, Joann, Megna, Libby C, Carling, Matthew D, Wang, Biao, Del-Rio, Glaucia, Aleixo, Alexandre, Vasconcelos, Ana Tereza Ribeiro, Mello, Claudio V, Haussler, David, Yang, Huanming, Wang, Jian, Rahbek, Carsten, Jarvis, Erich D, Zhang, Guojie

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Machine learning for rhabdomyosarcoma histopathology (Apr, 10.1038/s41379-022-01075-x, 2022) von Frankel, Arthur O, Lathara, Melvin, Shaw, Celine Y, Wogmon, Owen, Jackson, Jacob M, Clark, Mattie M, Eshraghi, Navah, Keenen, Stephanie E, Woods, Andrew D, Purohit, Reshma, Ishi, Yukitomo, Moran, Nirupama, Eguchi, Mariko, Ahmed, Farhat Ul Ain, Khan, Sara, Ioannou, Maria, Perivoliotis, Konstantinos, Li, Pin, Zhou, Huixia, Alkhaledi, Ahmad, Davis, Elizabeth J, Galipeau, Danielle, Randall, R.L, Wozniak, Agnieszka, Schoffski, Patrick, Lee, Che-Jui, Huang, Paul H, Jones, Robin L, Rubin, Brian P, Darrow, Morgan, Srinivasa, Ganapati, Rudzinski, Erin R, Chen, Sonja, Berlow, Noah E, Keller, Charles

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Solar wind contributions to Earth’s oceans von Daly, Luke, Lee, Martin, Hallis, Lydia, Ishii, Hope A, Bradley, John P, Bland, Phillip A, Saxey, David W, Fougerouse, Denis, Rickard, William DA, Forman, Lucy V, Timms, Nicholas E, Jourdan, Fred, Reddy, Steven M, Salge, Tobias, Quadir, Zakaria, Christou, Evangelos, Cox, Morgan A, Aguiar, Jeffrey A, Hattar, Khalid, Monterrosa, Anthony, Keller, Lindsay P, Christoffersen, Roy, Dukes, Catherine A, Loeffler, Mark J, Thompson, Michelle S

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Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants - United States, June 2021-January 2022 von Lambrou, Anastasia S, Shirk, Philip, Steele, Molly K, Paul, Prabasaj, Paden, Clinton R, Cadwell, Betsy, Reese, Heather E, Aoki, Yutaka, Hassell, Norman, Zheng, Xiao-Yu, Talarico, Sarah, Chen, Jessica C, Oberste, M Steven, Batra, Dhwani, McMullan, Laura K, Halpin, Alison Laufer, Galloway, Summer E, MacCannell, Duncan R, Kondor, Rebecca, Barnes, John, MacNeil, Adam, Silk, Benjamin J, Dugan, Vivien G, Scobie, Heather M, Wentworth, David E, Caravas, Jason, Kovacs, Nicholas A, Gerhart, Jonathan G, Jia Ng, Han, Beck, Andrew, Chau, Reina, Cintron, Roxana, Cook, Peter W, Gulvik, Christopher A, Howard, Dakota, Jang, Yunho, Knipe, Kristen, Lacek, Kristine A, Moser, Kara A, Paskey, Adrian C, Rambo-Martin, Benjamin L, Nagilla, Roopa R, Retchless, Adam C, Schmerer, Matthew W, Seby, Sandra, Shepard, Samuel S, Stanton, Richard A, Stark, Thomas J, Uehara, Anna, Unoarumhi, Yvette, Bentz, Meghan L, Burgin, Alex, Burroughs, Mark, Davis, Morgan L, Keller, Matthew W, Keong, Lisa M, Le, Shoshona S, Lee, Justin S, Madden Jr, Joseph C, Nobles, Sarah, Owuor, D. Collins, Padilla, Jasmine, Sheth, Mili, Wilson, Malania M

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Genetically elevated high-density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer's disease von Peloso, GM, van der Lee, SJ, Sims, R, Naj, AC, Bellenguez, C, Badarinarayan, N, Jakobsdottir, J, Kunkle, BW, Boland, A, Raybould, R, Bis, JC, Martin, ER, Grenier-Boley, B, Heilmann-Heimbach, S, Chouraki, V, Kuzma, AB, Sleegers, K, Vronskaya, M, Ruiz, A, Graham, RR, Olaso, R, Hoffmann, P, Grove, ML, Vardarajan, BN, Hiltunen, M, Nöthen, MM, White, CC, Hamilton-Nelson, KL, Epelbaum, J, Maier, W, Choi, SH, Beecham, GW, Dulary, C, Herms, S, Smith, AV, Funk, CC, Derbois, Forstner, AJ, Ahmad, S, Li, H, Bacq, D, Harold, D, Satizabal, CL, Valladares, O, Squassina, A, Thomas, R, Brody, JA, Qu, L, Sánchez-Juan, P, Morgan, T, Wolters, FJ, Zhao, Y, Garcia, FS, Denning, N, Fornage, M, Malamon, J, Naranjo, MCD, Majounie, E, Mosley, TH, Dombroski, B, Wallon, D, Lupton, MK, Dupuis, J, Whitehead, P, Fratiglioni, L, Medway, C, Jian, X, Mukherjee, S, Keller, L, Brown, K, Lin, H, Cantwell, LB, Panza, F, McGuinness, B, Moreno-Grau, S, Burgess, JD, Solfrizzi, V, Proitsi, P, Adams, HH, Allen, M, Seripa, D, Pastor, P, Cupples, LA, Price, ND, Hannequin, D, Frank-García, A, Levy, D, Chakrabarty, P, Caffarra, P, Giegling, I, Beiser, AS, Giedraitis, V, Hampel, H, Garcia, ME, Wang, X, Lannfelt, L, Mecocci, P, Eiriksdottir, G, Crane, PK

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