Search Articles

View query in Help articles search

Search Results (1 to 10 of 5035 Results)

Download search results: CSV END BibTex RIS


Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study

Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study

(B) Hourly distribution of message volumes per active intern by hour of the day. On average, interns read messages from nurses within a median of 35 seconds (range: 0‐3589), whereas nurses read messages from interns within a median of 26 seconds (range: 0‐3584) (P Similar to Small et al [3], we found a significantly disproportionate message burden between interns and nurses. On average, interns exchanged 2.5 times more messages per day with nurses than nurses exchanged with interns (Figure 1).

Sankirth Madabhushi, Andrew M Nguyen, Katie Hsia, Sucharita Kher, William Harvey, Jennifer Murzycki, Daniel Chandler, Michael Davis

JMIR Med Inform 2025;13:e66859

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

(B) Top-down view of the electrography electrode positions on the subject’s head according to the 10-20 system, standard for electrography recordings. The device includes two forehead electrodes (AF7 and AF8), reference electrodes at FPz, and conductive rubber ear sensors at TP9 and TP10. The FPz electrode serves as a reference point and is positioned at the midline of the forehead.

Isaac Treves, Zia Bajwa, Keara D Greene, Paul A Bloom, Nayoung Kim, Emma Wool, Simon B Goldberg, Susan Whitfield-Gabrieli, Randy P Auerbach

J Med Internet Res 2025;27:e68204

Association Between Social Distancing Compliance and Public Place Crowding During the COVID-19 Pandemic: Cross-Sectional Observational Study Using Computer Vision to Analyze Surveillance Footage

Association Between Social Distancing Compliance and Public Place Crowding During the COVID-19 Pandemic: Cross-Sectional Observational Study Using Computer Vision to Analyze Surveillance Footage

On average, the viewsheds of the cameras captured around 650 m² of walkable street surface. While an area of this size could theoretically contain up to 433 individuals without 1.5-meter distancing violations, the median number of individuals observed in a still frame was 7 (SD 7.7), which would give each individual an average personal space of no less than 93 m2.

Lasse Suonperä Liebst, Wim Bernasco, Peter Ejbye-Ernst, Nigel van Herwijnen, Thomas van der Veen, Dennis Koelma, Cees G M Snoek, Marie Rosenkrantz Lindegaard

JMIR Public Health Surveill 2025;11:e50929