A novel method of using sound waves and artificial intelligence for the detection of vehicle's proximity from cyclists and E-scooters.

Outdoor air pollution has been found to have a significant adverse effect on health. When the authors attempted to monitor air quality that cyclists or e-scooter users' breath during commuting in different locations for health and safety analysis, it was found that the existence of internal combustion engine (ICE) cars has a significant effect on the pollution levels and the monitoring process. To comprehensively study the effect of cars and traffic on air quality that cyclists and e-scooters users experience, a low-cost and reliable system was needed to detect the proximity of cars that have diesel or petrol engines.

Challenges and opportunities of remotely working from home during Covid-19 pandemic.

The demand of online remote working from home significantly increased in 2020/21 due to the Covid-19 pandemic. This unforeseen situation has forced individuals and organisations to rapidly train employees and adopt the use of on-line working styles, seeking to maintain the same level of productivity as working from the office. The paper outlines a survey conducted amongst people working from home to identify the challenges and opportunities this change in workstyle offers.

Evaluation of Children's Screen Viewing Time and Parental Role in Household Context.

Limited screen time has been recommended by the American Academy of Pediatrics for all children and no screen time for children under 2 years of age. With the advancement in technology, the prevalence and detrimental effects of excess screen time on children has become a global problem that can lead to health issues such as obesity and other cardiovascular diseases among both adults and children. This article examines the drivers of screen-related sedentary behavior within the home context and reports on parents' attitude in supporting children's associated behavior.

A device for improving the visual clarity and dimension of veins.

Vascular access for venepuncture and peripheral intravenous cannulation is a common procedure within health care. First-attempt cannula insertion success rate has been found to be lower in some patient groups. Multiple unsuccessful cannulation attempts have negative impacts for both patients and practitioners.

Innovative algorithm to evaluate the capabilities of visual, near infrared, and infrared technologies for the detection of veins for intravenous cannulation.

Intravenous cannulation is the process of inserting a cannula into a vein to administrate medication, fluids, or to take blood samples. The process of identification and of locating veins plays an important role during the intravenous cannulation procedure to reduce health care costs and the suffering of patients. This paper compares the three technologies used to assess their suitability and capability for the detection of veins to support the cannulation process.