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Frontoparietal functional connectivity moderates the link between time spent on social media and subsequent negative affect in daily life

Author(s): Kang Y; Ahn J; Cosme D; Mwilambwe-Tshilobo L; McGowan A; Zhou D; Boyd ZM; Jovanova M; Stanoi O; Mucha PJ; Ochsner KN; Bassett DS; Lydon-Staley D; Falk EB;

Evidence on the harms and benefits of social media use is mixed, in part because the effects of social media on well-being depend on a variety of individual difference moderators. Here, we explored potential neural moderators of the link between time spent on social media and subsequent negative ...

Article GUID: 37993522


Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration

Author(s): Hou D; Zhan D; Wang L; Hassan IG; Sezer N;

Many factors contribute to the inherent uncertainty of energy consumption modeling in buildings. It is essential to perform a calibration and sensitivity analysis in order to manage these uncertainties. Despite the availability of several calibration methods, they are often deterministic and lack quantified uncertainties. Moreover, the selection of parame ...

Article GUID: 37936825


Development of a Bayesian inference model for assessing ventilation condition based on CO2 meters in primary schools

Author(s): Hou D; Wang LL; Katal A; Yan S; Zhou LG; Wang V; Vuotari M; Li E; Xie Z;

Outdoor fresh air ventilation plays a significant role in reducing airborne transmission of diseases in indoor spaces. School classrooms are considerably challenged during the COVID-19 pandemic because of the increasing need for in-person education, untimely and incompleted vaccinations, high occupancy density, and uncertain ventilation conditions. Many s ...

Article GUID: 36035815


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