Being alone after late-life divorce: freedom and loneliness from an intergenerational familial/dyadic perspective.

Objectives: To examine in-depth experiences of loneliness and freedom after late-life divorce from an intergenerational familial/dyadic perspective in a family-oriented society that also values self-determination. Considering the expansion of late-life divorce, it is important to understand its consequences for the family wellbeing.

Method: According to phenomenology tradition, data was collected through 51 semi-structured qualitative interviews, comprised from 7 family units ( = 33) including all/most family members and 9 parent-child dyads ( = 18), using thematic-analysis and dyadic interview-analysis principles.

Improving Autonomous Vehicle Perception through Evaluating LiDAR Capabilities and Handheld Retroreflectivity Assessments.

Road safety is a serious concern worldwide, and traffic signs play a critical role in confirming road safety, particularly in the context of AVs. Therefore, there is a need for ongoing advancements in traffic sign evaluation methodologies. This paper comprehensively analyzes the relationship between traffic sign retroreflectivity and LiDAR intensity to enhance visibility and communication on road networks.

Communication between Autonomous Vehicles and Pedestrians: An Experimental Study Using Virtual Reality.

One of the major challenges of autonomous vehicles (AV) is their interaction with pedestrians. Unofficial interactions such as gestures, eye contact, waving, and flashing lights are very common behavioral patterns for drivers to express their intent to give priority. In our research we composed a virtual reality experiment for a pedestrian crossing in an urban environment in order to test pedestrians' reactions on an LED light display mounted on a virtual AV.

A One Health real-time surveillance system for nowcasting gastrointestinal illness outbreaks, Norway, week 30 2010 to week 11 2022.

Background is a leading cause of food and waterborne illness. Monitoring and modelling at chicken broiler farms, combined with weather pattern surveillance, can aid nowcasting of human gastrointestinal (GI) illness outbreaks. Near real-time sharing of data and model results with health authorities can help increase potential outbreak responsiveness.