The five-year itch: motivational factors that influence the career decisions of early career teachers in England by Procter-Legg, T, Snell, R, Klassen, R

E-cigarette (EC) and heated tobacco product (HTP) use in the United Arab Emirates, an emerging EC and HTP market: a cross-sectional analysis of the International Tobacco Control (I... by Leinberger-Jabari, A, Ahmad, A, Lindson, N, Oke, J, Hartmann-Boyce, J, Fong, G, El-Shahawy, O, Raghib, A, Sherman, S

DNA-damage orchestrates self-renewal and differentiation via reciprocal p53 family and Hippo/Wnt/TGF-β pathway activation in embryonic stem cells by Ye, Y, Xie, W, Wang, X, Tan, S, Yang, L, Ma, Z, Zhu, Z, Chen, X, Liu, X, O’Neill, E, Chang, L, Zhang, W

The HOME Core outcome set for clinical trials of atopic dermatitis by Williams, Hywel C., Schmitt, Jochen, Thomas, Kim S., Spuls, Phyllis I., Simpson, Eric L., Apfelbacher, Christian, Chalmers, Joanne R., Furue, Masutaka, Katoh, Norito, Gerbens, Louise A. A., Leshem, Yael A., Howells, Laura, Singh, Jasvinder A., Boers, Maarten

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Printable low-temperature carbon for highly efficient and stable mesoscopic perovskite solar cells by Thangavel, Nivethaa R., Koh, Teck Ming, Chee, Zhong Quan, Tay, Darrell Jun Jie, Lee, Ming Jun, Mhaisalkar, Subodh Gautam, Ager, Joel W., Mathews, Nripan

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An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study by Slieker, Roderick C., Münch, Magnus, Donnelly, Louise A., Bouland, Gerard A., Dragan, Iulian, Kuznetsov, Dmitry, Elders, Petra J. M., Rutter, Guy A., Ibberson, Mark, Pearson, Ewan R., Hart, Leen M. 't, van de Wiel, Mark A., Beulens, Joline W. J.

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Global variation in contributions to human well-being from urban vegetation ecosystem services by Richards, Daniel R., Belcher, Richard N., Carrasco, L. Roman, Edwards, Peter J., Fatichi, Simone, Hamel, Perrine, Masoudi. Mahyar, McDonnell, Mark J., Peleg, Nadav, Stanley, Margaret C.

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Normative modeling of brain morphometry in clinical high risk for psychosis by Haas, Shalaila S., Ge, Ruiyang, Agartz, Ingrid, Amminger, G. Paul, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Choi, Sunah, Colibazzi, Tiziano, Cropley, Vanessa L., de la Fuente-Sandoval, Camilo, Ebdrup, Bjørn H., Fortea, Adriana, Fusar-Poli, Paolo, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haut, Kristen M., Hayes, Rebecca A., Heekeren, Karsten, Hooker, Christine I., Hwang, Wu Jeong, Jahanshad, Neda, Kaess, Michael, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kindler, Jochen, Koike, Shinsuke, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Lemmers-Jansen, Imke L. J., Lin, Ashleigh, Ma, Xiaoqian, Mathalon, Daniel H., McGuire, Philip, Michel, Chantal, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Mora-Durán, Ricardo, Nelson, Barnaby, Nemoto, Takahiro, Nordentoft, Merete, Nordholm, Dorte, Omelchenko, Maria A., Pantelis, Christos, Pariente, Jose C., Raghava, Jayachandra M., Reyes-Madrigal, Francisco, Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Schall, Ulrich, Smigielski, Lukasz, Sugranyes, Gisela, Suzuki, Michio, Takahashi, Tsutomu, Tamnes, Christian K., Theodoridou, Anastasia, Thomopoulos, Sophia I., Thompson, Paul M., Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., van Erp, Theo G. M., Waltz, James A., Wenneberg, Christina, Westlye, Lars T., Wood, Stephen J., Zhou, Juan H., Hernaus, Dennis, Jalbrzikowski, Maria, Kahn, René S., Corcoran, Cheryl M., Frangou, Sophia

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Modeling and compensation of asymmetric piezo-actuated flexure-based system hysteresis by Zhou, Chao

“…Among the popular operator-based models, the Prandtl-Ishlinskii (PI) hysteresis model stands out because it is easier to be implemented and has less computational complexity in analytical inversion. …”
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