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

“…Importance: The lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in individuals at psychosis risk may be nested within the range observed in healthy individuals. …”
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Applications of deep learning for physical layer of wireless communication systems by Xie, Yihang

“…The 1D-TRNet receiver outperforms traditional OFDM receivers and state-of-the-art generalized approximate message passing (GAMP) receivers in terms of bit-error rate (BER) performance. The third research work proposes a deep learning-based 5G receiver, named communication transformer network (Comm-Trans Net), which is designed to be robust for different sub-types of TDL channels. …”
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USRP-based wireless communication demonstrations for capacity improvement: from coding and waveform design perspectives by Liu, Yile

“…Additionally, a Single-Input Single-Output (SISO) communication system is also investigated to compare the bit error rate (BER) performance in a block fading channel among no coding, (3,6) Low Density Parity Check (LDPC) code, and Root-Protograph (RP-LDPC) code. …”
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Investigation of operational characteristics of vanadium redox flow batteries by Rajagopalan Badrinarayanan

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Take a “selfie” : examining how leaders emerge from leader self-awareness, self-leadership, and self-efficacy by Bracht, Eva M., Keng-Highberger, Fong T., Avolio, Bruce J., Huang, Yiming

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Computational modeling of light processing in the habenula and dorsal raphe based on laser ablation of functionally-defined cells by Cheng, Ruey-Kuang, Jagannathan, N. Suhas, Kathrada, Ahmad Ismat, Jesuthasan, Suresh, Tucker-Kellogg, Lisa

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