Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training by Hosseini, Eghbal A., Schrimpf, Martin, Zhang, Yian, Bowman, Samuel, Zaslavsky, Noga, Fedorenko, Evelina

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An Optimal Tradeoff between Entanglement and Copy Complexity for State Tomography by Chen, Sitan, Li, Jerry, Liu, Allen

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Classical correspondence beyond the Ehrenfest time for open quantum systems with general Lindbladians by Hernández, Felipe, Ranard, Daniel, Riedel, C. J.

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Forces on oscillating uniform and tapered cylinders in a crossflow by Hover, F. S., Techet, A. H., Triantafyllou, M.S.

“…Free vibrations with a 40:1 tapered cylinder show that the regime of low correlation, containing the Strouhal frequency, stretches to higher reduced velocities, while lock-in starts at lower reduced velocities. …”
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High-performance partially aligned semiconductive single-walled carbon nanotube transistors achieved with a parallel technique by Wang, Yilei, Pillai, Suresh Kumar Raman, Chan-Park, Mary B.

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Human comfort in indoor environment : a review on assessment criteria, data collection and data analysis methods by Song, Ying, Mao, Fubing, Liu, Qing

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An ultrastable lithium metal anode enabled by designed metal fluoride spansules by Yuan, Huadong, Nai, Jianwei, Tian, He, Ju, Zhijin, Zhang, Wenkui, Liu, Yujing, Tao, Xinyong, Lou, David Xiong Wen

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Altmetrics : factor analysis for assessing the popularity of research articles on Twitter by Pandian, Nandhini Devi Soundara, Veeramachaneni, Bhargavi, Na, Jin-Cheon, Boothaladinni, Rashmi Vishwanath

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A faster chemical bath deposition method for SnO2 ETLs in perovskite solar cells by Wong, Zi Sheng

“…Initial studies on the effect of pre-mixing sonication indicated positive device results, especially for a duration of 40 minutes. The experiment shows that there exists an optimal mixing time, and that pre-mixing stage is essential to the outcome of the devices. …”
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Optical atompilz: propagation-invariant strongly longitudinally polarized toroidal pulses by Wang, Ren, Yang, Ding-Tao, Xin, Tao, Shi, Shuai, Wang, Bing-Zhong, Shen, Yijie

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Simultaneous polymerization and adhesion under hypoxia in sickle cell disease by Papageorgiou, Dimitrios P., Abidi, Sabia Z., Chang, Hung-Yu, Li, Xuejin, Kato, Gregory J., Karniadakis, George E., Suresh, Subra, Dao, Ming

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Strong self-trapping by deformation potential limits photovoltaic performance in bismuth double perovskite by Wu, Bo, Ning, Weihua, Xu, Qiang, Manjappa, Manukumara, Feng, Minjun, Ye, Senyun, Fu, Jianhui, Lie, Stener, Yin, Tingting, Wang, Feng, Goh, Teck Wee, Harikesh, Padinhare Cholakkal, Tay, Eugene Yong Kang, Shen, Zexiang, Huang, Fuqiang, Singh, Ranjan, Zhou, Guofu, Gao, Feng, Sum, Tze Chien

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First results on a new PIAA coronagraph testbed at NASA Ames by Belikov, R., Pluzhnik, E., Connelley, M. S., Witteborn, F. C., Lynch, D. H., Cahoy, K. L., Guyon, O., Greene, T. P., McKelvey, M. E.

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High-speed grinding: from mechanism to machine tool by Wang, Yu-Long, Zhang, Yan-Bin, Cui, Xin, Liang, Xiao-Liang, Li, Run-Ze, Wang, Ruo-Xin, Sharma, Shubham, Liu, Ming-Zheng, Gao, Teng, Zhou, Zong-Ming, Wang, Xiao-Ming, Dambatta, Yusuf S., Li, Chang-He

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An integrated framework for multi-state driver monitoring using heterogeneous loss and attention-based feature decoupling by Hu, Zhongxu, Zhang, Yiran, Xing, Yang, Li, Qinghua, Lv, Chen

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Density forecasting of conjunctivitis burden using high-dimensional environmental time series data by Lim, Jue Tao, Choo, Esther Li Wen, Janhavi, A., Tan, Kelvin Bryan, Abisheganaden, John, Dickens, Borame

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Novel heat treatment methodology for residual stress relieve of AlSi10Mg without compromise of mechanical strength by Lim, Chong Heng

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Structural molecular modeling of bacterial integral membrane protein enzymes and their AlphaFold2 predicted water-soluble QTY variants by Sajeev-Sheeja, Akash, Zhang, Shuguang

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The hazards of unconfined pyroclastic density currents: a new synthesis and classification according to their deposits, dynamics, and thermal and impact characteristics by Lerner, Geoffrey A., Jenkins, Susanna F., Charbonnier, Sylvain J., Komorowsk, Jean-Christophe, Baxter, Peter J.

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Structural and biochemical characterisation of bacterial metallo-β-lactamases by Makena, A

“…</p> <p>The Verona imipenemase metallo-β-lactamases (VIM) enzymes are among the most widely distributed MBLs with &amp;GT;40 variants reported (Chapter 5). Comparative studies on the biochemical and biophysical properties were carried out for five VIM variants: VIM-1, VIM- 2, VIM-4, VIM-5 and VIM-38. …”