Value Co-Creation in Telemedicine: A Qualitative Study of Pediatricians' Expectations Regarding Telehomecare Implementation in an Italian Pediatric Hospital.

Purpose: The widespread adoption of telemedicine tools poses new and little-known challenges for healthcare professionals, who are required to adapt their knowledge, skills, and work practices to this innovative scenario. Understanding healthcare professionals' expectations and concerns about adopting telemedicine can facilitate its effective integration. Therefore, drawing upon the Value Co-Creation in Healthcare model, the current study aims to investigate pediatricians' expectations regarding antecedents, outcomes, and management activities relevant to the implementation of a telehomecare service.

Nozaki-Bekki solitons in semiconductor lasers.

Optical frequency-comb sources, which emit perfectly periodic and coherent waveforms of light, have recently rapidly progressed towards chip-scale integrated solutions. Among them, two classes are particularly significant-semiconductor Fabry-Perót lasers and passive ring Kerr microresonators. Here we merge the two technologies in a ring semiconductor laser and demonstrate a paradigm for the formation of free-running solitons, called Nozaki-Bekki solitons.

Active mid-infrared ring resonators.

High-quality optical ring resonators can confine light in a small volume and store it for millions of roundtrips. They have enabled the dramatic size reduction from laboratory scale to chip level of optical filters, modulators, frequency converters, and frequency comb generators in the visible and the near-infrared. The mid-infrared spectral region (3-12 μm), as important as it is for molecular gas sensing and spectroscopy, lags behind in development of integrated photonic components.

Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes.

The population experiencing high temperatures in cities is rising due to anthropogenic climate change, settlement expansion, and population growth. Yet, efficient tools to evaluate potential intervention strategies to reduce population exposure to Land Surface Temperature (LST) extremes are still lacking. Here, we implement a spatial regression model based on remote sensing data that is able to assess the population exposure to LST extremes in urban environments across 200 cities based on surface properties like vegetation cover and distance to water bodies.