Small, variable transmission delays over Zoom disrupt the typical rhythm of conversation, leading to delays in turn initiation. This study compared local and remote (Zoom) turn transition times using both a tightly controlled yes/no Question and Answer (Q&A) paradigm (Corps et al., 2018) and unscripted conversation. In the Q&A paradigm (Experiment 1), participants responded yes/no as quickly as possible to prerecorded questions. Half of the questions were played over Zoom and half were played locally from their own computer. Local responses had an average latency of 297 ms, whereas remote responses averaged 976 ms. These large increases in transition times over Zoom are far greater than the estimated 30-70 ms of audio transmission delay, suggesting disruption of automated mechanisms that normally guide the timing of turn initiation in conversation. In face-to-face conversations (Experiment 2), turn transition times averaged 135 ms, but transition times for the same dyads over Zoom averaged 487 ms. We consider the possibility that electronic transmission delays disrupt neural oscillators that normally synchronize on syllable rate, at around, 150-300 ms per cycle (Wilson & Wilson, 2005), and enable interlocutors to effortlessly and precisely time the initiation of their turns. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Sensors (Basel)
December 2024
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
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December 2024
Institute of Railway Research, University of Huddersfield, Huddersfield HD1 3DH, UK.
Conventional floating bridge systems used during emergency repairs, such as during wartime or after natural disasters, typically rely on passive rubber bearings or semi-active control systems. These methods often limit traffic speed, stability, and safety under dynamic conditions, including varying vehicle loads and fluctuating water levels. To address these challenges, this study proposes a novel Hydraulic Self-Adaptive Bearing System (HABS).
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December 2024
Department of Semiconductor Systems Engineering, Sejong University, Seoul 05006, Republic of Korea.
Recently, AI systems such as autonomous driving and smart homes have become integral to daily life. Intelligent multi-sensors, once limited to single data types, now process complex text and image data, demanding faster and more accurate processing. While integrating NPUs and sensors has improved processing speed and accuracy, challenges like low resource utilization and long memory latency remain.
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December 2024
Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA.
Understanding sleep stages is crucial for diagnosing sleep disorders, developing treatments, and studying sleep's impact on overall health. With the growing availability of affordable brain monitoring devices, the volume of collected brain data has increased significantly. However, analyzing these data, particularly when using the gold standard multi-lead electroencephalogram (EEG), remains resource-intensive and time-consuming.
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December 2024
Department of Applied Mathematics, Materials Science and Engineering and Electronic Technology, Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Spain.
This work investigates the sustainable reuse of expanded polystyrene (EPS) waste through a multi-cycle physical recycling process involving dissolution in acetone and subsequent manufacturing via Direct Ink Write (DIW) 3D printing and casting. Morphology and mechanical properties were evaluated as a function of the manufacturing technique and number of dissolution cycles. Morphological analysis revealed that casted specimens better replicated the target geometry, while voids in 3D-printed specimens aligned with the printing direction due to rapid solvent evaporation.
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