Machine Learning Assists IoT Localization: A Review of Current Challenges and Future Trends.

The widespread use of the internet and the exponential growth in small hardware diversity enable the development of Internet of things (IoT)-based localization systems. We review machine-learning-based approaches for IoT localization systems in this paper. Because of their high prediction accuracy, machine learning methods are now being used to solve localization problems.

Overcoming Barriers to Wound Healing in a Neuropathic and Neuro-Ischaemic Diabetic Foot Cohort Using a Novel Bilayer Biodegradable Synthetic Matrix.

Diabetes-related foot ulceration presents an increasing risk of lower limb amputation globally, driving the search for new treatment technologies. Our single-centre prospective observational study reports on the impact of bilayer biodegradable synthetic matrix technology (NovoSorb BTM) on the healing and amputation rates of a diabetic foot ulceration cohort. Consecutive patients with a diabetes-related foot ulceration treated with NovoSorb BTM, between December 2019 and October 2021, were followed for 12 months.

Modeling a flexible staff scheduling problem in the Era of Covid-19.

In this paper, we propose optimization models to address flexible staff scheduling problems and some main issues arising from efficient workforce management during the Covid-19 pandemic. The adoption of precautionary measures to prevent the pandemic from spreading has raised the need to rethink quickly and effectively the way in which the workforce is scheduled, to ensure that all the activities are conducted in a safe and responsible manner. The emphasis is on novel optimization models that take into account demand requirements, employees' personal and family responsibilities, and anti-Covid-19 measures at the same time.

Diagnostic and infection control strategies for Clostridioides difficile infections in a setting of high antimicrobial resistance prevalence.

Clostridioides difficile (CD) is a major nosocomial pathogen and the leading cause of antibiotic-associated diarrhoea. In light of the strong association between antimicrobial use and CD infections (CDI), it may be hypothesised that areas at higher prevalence of antimicrobial resistance, like the region of Campania in southern Italy, could also have a higher rate of CDI. In this multicentre, region-based, prospective study, we analysed such issues, exploiting CDI incidence data collected from local hospitals.

Gender Differences in Medication Use: A Drug Utilization Study Based on Real World Data.

A gender-specific drug utilization study was performed in the Campania region, Southern Italy. Data were based on outpatient drug prescriptions collected from administrative databases. The study population included all patients with at least one drug prescription in 2018.