Publications by authors named "J T Uhl"
The predictive power of movement and electrodermal activity (EDA) synchrony has been demonstrated in various studies. Although most studies have examined each synchrony modality separately, a growing interest in the simultaneous investigation of multiple modalities has emerged. Previous research has demonstrated the importance of disentangling within and between-dyad effects, however within and between-therapist effects have yet to be investigated.
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- Training in social-verbal skills is essential for medical first responders (MFRs) to effectively assess and treat patients in emergencies, and using conversational agents (CAs) in virtual patients (VPs) offers a cost-effective alternative to traditional role-play.* -
- The study aimed to evaluate how integrating GPT-based AI into a mixed reality simulation of a traffic accident might enhance MFR communication training by providing richer, more realistic interactions.* -
- Results showed moderate positive feedback on the usability of the virtual patient, particularly in terms of habitability and likability, suggesting that AI interactions can improve training experiences for MFRs.*
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- Heterozygous mutations in the TBK1 gene are linked to neurodegenerative diseases like ALS and FTD, with most patients carrying harmful loss-of-expression mutations.
- The study focused on the p.E696K missense variant of TBK1, which doesn't completely stop protein expression but disrupts its interaction with the autophagy protein optineurin.
- Research showed that this mutation leads to early dysfunction in neuron recycling processes, resulting in damaged lysosomes and eventually causing a progressive motor neuron disease, highlighting potential therapeutic targets for treatment.
Understanding changes in the built environment is vital for sustainable urban development and disaster preparedness. Recent years have seen the emergence of a variety of global, continent-level, and nation-wide datasets related to the current state and the evolution of the built environment, human settlements or building stocks. However, such datasets may face limitations like incomplete coverage, sparse building information, coarse resolution, and limited timeframes.
View Article and Find Full Text PDFChildren born into poverty in rural America achieve higher average income levels as adults than their urban peers. As economic opportunity tends to be more abundant in cities, this "rural advantage" in income mobility seems paradoxical. This article resolves this puzzle by applying multilevel analysis to new spatial measures of rurality and place-level data on intergenerational income mobility.
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