Automated liquid-liquid extraction of organic compounds from aqueous samples using a multifunction autosampler syringe by Tehranirokh, Masoomeh, Van den Bronk, Marcel, Smith, Peter, Dai, Zach, Ragunathan, Kannan, Muscalu, Alina, Mills, Simon, Breadmore, Michael C, Shellie, Robert A

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No Loss, No Drip Fraction Collection by HOLUB, David P, SMITH, Peter, DAI, Zach

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No loss, no drip fraction collection by Holub, David P, Smith, Peter, Dai, Zach

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The Observer’s Guide to the Gamma-Ray Burst Supernova Connection by Wu, Xue-Feng, Dai, Zi-Gao, Wang, Shan-Qin, Cano, Zach

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Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge by Dai, Timothy, Maher, Kate, Perzan, Zach

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Modeling the Light Curves of the Luminous Type Ic Supernova 2007D by Wang, Shan-Qin, Cano, Zach, Li, Long, Liu, Liang-Duan, Wang, Ling-Jun, Zheng, WeiKang, Dai, Zi-Gao, Liang, En-Wei, Filippenko, Alexei V.

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Biphenyl Cyclobutenone Photoelectrocyclizations by Dai, Changhang, Zhao, Xuchen, Song, Changqing, Schwartz, Zach, Rainier, Jon D

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Real‐Time Adaptive Inline Acidification Enhances Continuous pH Control for Viral Inactivation by Lee, Jia Sheng Zach, Nguyen, Tan Dai, Zheng, Zi Ying, Zhang, Wei, Liu, Dan

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Modeling The Most Luminous Supernova Associated with a Gamma-Ray Burst, SN 2011kl by Wang, Shan-Qin, Cano, Zach, Wang, Ling-Jun, Zheng, WeiKang, Dai, Zi-Gao, Filippenko, Alexei V., Liu, Liang-Duan

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A Hybrid Spectral Library and Protein Sequence Database Search Strategy for Bottom-Up and Top-Down Proteomic Data Analysis by Dai, Yuling, Millikin, Robert J., Rolfs, Zach, Shortreed, Michael R., Smith, Lloyd M.

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TOI 560: Two Transiting Planets Orbiting a K Dwarf Validated with iSHELL, PFS, and HIRES RVs by El Mufti, Mohammed, Plavchan, Peter P., Isaacson, Howard, Cale, Bryson L., Feliz, Dax L., Reefe, Michael A., Hellier, Coel, Stassun, Keivan, Eastman, Jason, Polanski, Alex, Crossfield, Ian J. M., Gaidos, Eric, Kostov, Veselin, Wittrock, Justin M., Villaseñor, Joel, Schlieder, Joshua E., Bouma, Luke G., Collins, Kevin I., Zohrabi, Farzaneh, Lee, Rena A., Sohani, Ahmad, Berberian, John, Vermilion, David, Newman, Patrick, Geneser, Claire, Tanner, Angelle, Batalha, Natalie M., Dressing, Courtney, Fulton, Benjamin, Howard, Andrew W., Huber, Daniel, Kane, Stephen R., Petigura, Erik A., Robertson, Paul, Roy, Arpita, Weiss, Lauren M., Behmard, Aida, Beard, Corey, Chontos, Ashley, Dai, Fei, Dalba, Paul A., Fetherolf, Tara, Giacalone, Steven, Hill, Michelle L., Hirsch, Lea A., Holcomb, Rae, Lubin, Jack, Mayo, Andrew, Močnik, Teo, Akana Murphy, Joseph M., Rosenthal, Lee J., Rubenzahl, Ryan A., Scarsdale, Nicholas, Stockdale, Christopher, Collins, Karen, Cloutier, Ryan, Relles, Howard, Tan, Thiam-Guan, Scott, Nicholas J, Hartman, Zach, Matthews, Elisabeth, Ciardi, David R., Gonzales, Erica, Matson, Rachel A., Beichman, Charles, Bieryla, Allyson, Furlan, E., Gnilka, Crystal L., Howell, Steve B., Ziegler, Carl, Briceño, César, Law, Nicholas, Mann, Andrew W., Rabus, Markus, Johnson, Marshall C., Christiansen, Jessie, Kreidberg, Laura, Berardo, David Anthony, Deming, Drake, Gorjian, Varoujan, Morales, Farisa Y., Benneke, Björn, Dragomir, Diana, Wittenmyer, Robert A., Ballard, Sarah, Bowler, Brendan P., Horner, Jonathan, Kielkopf, John, Liu, Huigen, Shporer, Avi, Tinney, C. G., Zhang, Hui, Wright, Duncan J., Addison, Brett C., Mengel, Matthew W., Okumura, Jack

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Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative by Loomba, Johanna, Pfaff, Emily, Mitchell, Elliot, Delong, Grant, Tariq, Adbul, Coyle, Jeremy, Mertens, Andrew, Hubbard, Alan, Gao, Jifan, Li, Ziyang, Holmes, John, Wong, Eric, Getzen, Emily, Al-Amery, Amera, Anand, Adit, Baghbanzadeh, Mahdi, Bangert, Bridget, Butzin-Dozier, Zachary, Chiang, Jeffrey, Dai, Zongyu, Deng, Kaiwen, Dinh, Dong, Fu, Sunyang, Gardner, Kelly, Ghalwash, Mohamed, Ham, Colby, Hanoudi, Samer, Hershkovich, Leeor, Huang, Jiani, Huang, Yu, Hur, Junguk, Ismail, Hamid, Izmirlian, Grant, Jang, Kuk, Kartoun, Uri, Krichevsky, Spencer, Larie, Dale, Lederer, Lauren, Liu, Feifan, Munia, Tamanna, Madhira, Vithal, Mansourifard, Farzaneh, Milo, Christopher, Musal, Rasim, Narain, Rohan, Peng, Le, Perkins, Diana, Poplavskiy, Dmytro, Pungitore, Sarah, Ravichandran, Sarangan, Reyes, Abel, Rouffa, Sean, Sawant, Sahil, Schiaffino, Melody, Sengupta, Saurav, Shalaev, Ruslan, Shi, Seraphina, Shinguyen, Linh, Strube, Jan, Sundararajan, Prathic, Tawiah, Edward, Walzer, Benjamin, Wang, Lu, Wu, Yifeng, Xia, Fangfang, Yin, Changyu, Zanaj, Martin, Zhao, Zixuan, Zhou, Andrea, Zhu, Yuanda, Bates, Benjamin, Beasley, Will, Bramante, Carolyn, Brown, Don, Burgoon, Penny, Buse, John, Fuentes, Rafael, Gabriel, Davera, Gagnier, Joel, Gersing, Kenneth, Girvin, Andrew, Hurley, Robert, Johnson, Steve, Koraishy, Farrukh, Kostka, Kristin, Mariona, Federico, Marti, Emily, Martin, Greg, Mehta, Hemalkumar, Miller, Robert, Northington, Lavance, O’Neil, Shawn, Patel, Brijesh, Patel, Rena, Portilla, Lili, Sokos, George, Suver, Christine, Walden, Anita, Walters, Kellie, Zhu, Richard

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Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge by Dai, Timothy, Maher, Kate, Perzan, Zach

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Modeling the Light Curves of the Luminous Type Ic Supernova 2007D by Shan-Qin, Wang, Cano, Zach, Long, Li, Liang-Duan, Liu, Ling-Jun, Wang, Zheng, WeiKang, Zi-Gao, Dai, En-Wei, Liang, Filippenko, Alexei V

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The Observer's Guide to the Gamma-Ray Burst-Supernova Connection by Cano, Zach, Shan-Qin, Wang, Zi-Gao, Dai, Xue-Feng, Wu

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Modeling The Most Luminous Supernova Associated with a Gamma-Ray Burst, SN 2011kl by Shan-Qin, Wang, Cano, Zach, Ling-Jun, Wang, Wei-Kang, Zheng, Zi-Gao, Dai, Filippenko, Alexei V, Liang-Duan, Liu

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A fallback accretion model for the unusual type II-P supernova iPTF14hls by Ling-Jun, Wang, Xiao-Feng, Wang, Shan-Qin, Wang, Zi-Gao, Dai, Liang-Duan, Liu, Li-Ming, Song, Li-Ming, Rui, Cano, Zach, Li, Bing

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A Monte Carlo approach to magnetar-powered transients: II. Broad-lined type Ic supernovae not associated with GRBs by Ling-Jun, Wang, Cano, Zach, Shan-Qin, Wang, Zheng, Weikang, Liang-Duan, Liu, Deng, J S, Yu, Hai, Zi-Gao, Dai, Yan-Hui, Han, Xu, Dong, Yu-Lei, Qiu, Jian-Yan, Wei, B Li, Song, L M

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TOI 560 : Two Transiting Planets Orbiting a K Dwarf Validated with iSHELL, PFS and HIRES RVs by Mohammed El Mufti, Plavchan, Peter P, Isaacson, Howard, Cale, Bryson L, Feliz, Dax L, Reefe, Michael A, Hellier, Coel, Stassun, Keivan, Eastman, Jason, Polanski, Alex, Crossfield, Ian J M, Gaidos, Eric, Kostov, Veselin, Villasenor, Joel, Schlieder, Joshua E, Bouma, Luke G, Collins, Kevin I, Wittrock, Justin M, Zohrabi, Farzaneh, Lee, Rena A, Sohani, Ahmad, Berberian, John, Vermilion, David, Newman, Patrick, Geneser, Claire, Tanner, Angelle, Batalha, Natalie M, Dressing, Courtney, Fulton, Benjamin, Howard, Andrew W, Huber, Daniel, Kane, Stephen R, Petigura, Erik A, Robertson, Paul, Roy, Arpita, Weiss, Lauren M, Behmard, Aida, Beard, Corey, Chontos, Ashley, Dai, Fei, Dalba, Paul A, Fetherolf, Tara, Giacalone, Steven, Hill, Michelle L, Hirsch, Lea A, Holcomb, Rae, Lubin, Jack, Mayo, Andrew, Teo Movcnik, Akana Murphy, Joseph M, Rosenthal, Lee J, Rubenzahl, Ryan A, Scarsdale, Nicholas, Stockdale, Christopher, Collins, Karen, Cloutier, Ryan, Relles, Howard, Thiam-Guan Tan, Scott, Nicholas J, Hartman, Zach, Matthews, Elisabeth, Ciardi, David, Gonzales, Erica, Matson, Rachel A, Beichman, Charles, Furlan, E, Gnilka, Crystal L, Howell, Steve B, Ziegler, Carl, Briceno, Cesar, Law, Nicholas, Mann, Andrew W, Rabus, Markus, Johnson, Marshall C, Christiansen, Jessie, Kreidberg, Laura, Berardo, David Anthony, Drake Deming, Gorjian, Varoujan, Morales, Farisa Y, Benneke, Björn, Dragomir, Diana, Wittenmyer, Robert A, Ballard, Sarah, Bowler, Brendan P, Horner, Jonathan, Kielkopf, John, Liu, Huigen, Shporer, Avi, Tinney, C G, Zhang, Hui, Wright, Duncan J, Addison, Brett C, Mengel, Matthew W, Okumura, Jack

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Assessing US traveller vaccination access: an evaluation of US requirements for healthcare payer coverage of recommended travel vaccines by Hughes IV, Richard, Klein, Zach

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