Bifunctional diazirine reagent for covalent dyeing of Kevlar and inert polymer materials by Liu, Richard Y., Luo, Shao-Xiong Lennon, Hirst, Elizabeth S., Doona, Christopher J., Swager, Timothy M.

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An Embedded Tactical Decision Aid Framework for Environmentally Adaptive Autonomous Underwater Vehicle Communication and Navigation by Bhatt, EeShan C., Howard, Bradli, Schmidt, Henrik

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Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features by Zeulner, Tobias, Hagerer, Gerhard Johann, Müller, Moritz, Vazquez, Ignacio, Gloor, Peter A.

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Fast and accurate variant identification tool for sequencing-based studies by Gaston, Jeffry M., Alm, Eric J., Zhang, An-Ni

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Mapping nanoscale topographic features in thick tissues with speckle diffraction tomography by Kang, Sungsam, Zhou, Renjie, Brelen, Marten, Mak, Heather K., Lin, Yuechuan, So, Peter T. C., Yaqoob, Zahid

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Electroweak three-body decays in the presence of two- and three-body bound states by Briceño, Raul A., Jackura, Andrew W., Pefkou, Dimitra A., Romero-López, Fernando

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Resonant Ring with a Gain of 36 for Use with a 1 MW 110 GHz Gyrotron by Claveau, Elliot L., Shapiro, Michael A., Temkin, Richard J.

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A collinear perspective on the Regge limit by Gao, Anjie, Moult, Ian, Raman, Sanjay, Ridgway, Gregory, Stewart, Iain W.

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Risk-Aware Framework Development for Disruption Prediction: Alcator C-Mod and DIII-D Survival Analysis by Keith, Zander, Nagpal, Chirag, Rea, Cristina, Tinguely, R. Alex

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Machine-Learning-Assisted Analysis of Visible Spectroscopy in Pulsed-Power-Driven Plasmas by Datta, Rishabh, Ahmed, Faez, Hare, Jack D.

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No Pain, No Gain—Giving Real-Time Emotional Feedback in a Virtual Mirror Improves Collaboration in Virtual Teamwork by Schneider, Nicklas, Vazquez, Ignacio, Gloor, Peter A.

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Transverse momentum-dependent heavy-quark fragmentation at next-to-leading order by von Kuk, Rebecca, Michel, Johannes K. L., Sun, Zhiquan

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The quality/cosmology tension for a post-inflation QCD axion by Lu, Qianshu, Reece, Matthew, Sun, Zhiquan

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LLload: Simplifying Real-Time Job Monitoring for HPC Users by Byun, Chansup, Mullen, Julia, Reuther, Albert Iwersen, Arcand, William, Bergeron, William, Bestor, David, Burrill, Daniel, Gadepally, Vijay, Houle, Michael, Hubbell, Matthew, Jananthan, Hayden, Jones, Michael, Michaleas, Peter, Morales, Guillermo, Prout, Andrew, Rosa, Antonio, Yee, Charles, Kepner, Jeremy, Milechin, Lauren

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Search for dark QCD with emerging jets in proton-proton collisions at √𝑠 = 13 TeV by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R.

“…A search for “emerging jets” produced in proton-proton collisions at a center-of-mass energy of 13 TeV is performed using data collected by the CMS experiment corresponding to an integrated luminosity of 138 fb−1. …”
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Constraints on anomalous Higgs boson couplings from its production and decay using the WW channel in proton–proton collisions at √𝑠 =13 TeV by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W.

“…This analysis is performed on proton–proton collision data collected with the CMS detector at the CERN LHC during 2016–2018 at a center-of-mass energy of 13 TeV, and corresponds to an integrated luminosity of 138fb−1 . …”
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Calling for validation: demonstrating the use of mobile phone data to validate integrated land use transportation models by Jiang, Shan, Viña-Arias, Laura, Zegras, Christopher, Ferreira, Joseph, Gonzalez, Marta

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The US–China Trade War: Quantify the Negative Shocks to Local Housing Markets and Land-Based Finance in Chinese Cities by Li, Boning, Liao, Wen-Chi, Sun, Weizeng, Zeng, Yongxuan, Zheng, Siqi

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Market Adoption of Healthy Buildings in the Office Sector: A Global Study from the Owner’s Perspective by Tan, Zhengzhen, Zheng, Siqi, Palacios, Juan, Hooks, Carl

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Portable Acceleration of CMS Computing Workflows with Coprocessors as a Service by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D.

“…With experiments performed at Google Cloud, the Purdue Tier-2 computing center, and combinations of the two, we demonstrate the acceleration of these ML algorithms individually on coprocessors and the corresponding throughput improvement for the entire workflow. …”
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