Showing 281 - 300 results of 6,326 for search '(((pinnau OR pinnae) OR ((fine OR find) OR (pingge OR qingge))) OR ((pina OR anna) OR ling))', query time: 0.19s Refine Results
  1. 281
  2. 282
  3. 283
  4. 284

    The Language Network Reliably “Tracks” Naturalistic Meaningful Nonverbal Stimuli by Sueoka, Yotaro, Paunov, Alexander, Tanner, Alyx, Blank, Idan A., Ivanova, Anna, Fedorenko, Evelina

    Published 2024
    “…Our results complement earlier findings from controlled experiments (e.g., Ivanova et al., 2021) in providing further evidence that the language network shows some sensitivity to semantic content in nonverbal stimuli.…”
    Get full text
    Article
  5. 285
  6. 286
  7. 287
  8. 288
  9. 289

    Cognitive versatility and adaptation to fluid participation in hospital emergency department teams by Aggarwal, Ishani, Mayo, Anna T., Murase, Toshio, Zhang, Evelyn Y., Aven, Brandy, Woolley, Anita Williams

    Published 2024
    “…Importantly, the presence of a cognitively versatile attending physician mitigates these negative outcomes, enhancing overall team effectiveness. Our findings remain robust even after accounting for other variables like team expertise and familiarity. …”
    Get full text
    Journal Article
  10. 290
  11. 291
  12. 292
  13. 293

    Deadweight costs and optimal capital structure. by Liang, Huijun., Lim, Wei Ling.

    Published 2011
    “…In this paper, our model is consistent with those empirical findings. However, we shall go deeper in exploring how the presence of deadweight costs affect a MNC’s (1) optimal capital structure, and (2) optimal renegotiation strategy. …”
    Get full text
    Final Year Project (FYP)
  14. 294

    Deep learning-based microcirculation performance classification using multispectral photoacoustic technology by Chua, Hui Ling, Huong, Audrey

    Published 2024
    “…The ultrasonic waves collected from their posterior left arm under two experimental settings, namely at rest (i.e., control) and with arterial blood flow occlusions, were used to predict the microcirculation changes in tissue using the deep networks. Our findings showed the superiority of the hybrid model over the Alexnet and LSTM, with an average testing accuracy of 95.7 % and precision of 98.2 %, making it an ideal deep learning model for the task. …”
    Get full text
    Article
  15. 295
  16. 296
  17. 297
  18. 298
  19. 299
  20. 300

    The central element of the synaptonemal complex in mice is organized as a bilayered junction structure by Hernández-Hernández, Abrahan, Masich, Sergej, Fukuda, Tomoyuki, Kouznetsova, Anna, Sandin, Sara, Daneholt, Bertil, Höög, Christer

    Published 2017
    “…Distribution of immuno-gold particles in a lateral view of the synaptonemal complex, supported by protein interaction data, suggest that the N-terminal region of SYCP1 and SYCE3 form a joint bilayered central structure, and that SYCE1 and SYCE2 localize in between the two layers. We find that disruption of SYCE2 and TEX12 (a fourth central element protein) localization to the central element abolishes central alignment of the N-terminal region of SYCP1. …”
    Get full text
    Get full text
    Journal Article