RPCA-based techniques for pattern extraction, hotspot identification and signal correction using data from a dense network of low-cost NO sensors in London.

High-density low-cost air quality sensor networks are a promising technology to monitor air quality at high temporal and spatial resolution. However the collected data is high-dimensional and it is not always clear how to best leverage this information, particularly given the lower data quality coming from the sensors. Here we report on the use of robust Principal Component Analysis (RPCA) using nitrogen dioxide data obtained from a recently deployed dense network of 225 air pollution monitoring nodes based on low-cost sensors in the Borough of Camden in London.

Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents.

The importance of young athletes in the field of professional cycling has sky-rocketed during the past years. Nevertheless, the early talent identification of these riders largely remains a subjective assessment. Therefore, an analytical system which automatically detects talented riders based on their freely available youth results should be installed.

Associations between two nursing workload scales and the cost of intensive care unit nursing staff: A retrospective study of one Belgian hospital.

Aims: The aim of this study was to assess associations between a general nursing funding scale and an intensive care unit specific nursing workload scale and the cost of nursing staff.

Background: Nurse staffing represents the most important cost in the intensive care unit, so it is essential to evaluate it accurately. In addition, the assessment of nursing workload is important for the daily management of the intensive care unit and to ensure quality of care.

Risk Factors for Prolonged Length of Stay of Older Patients in an Academic Emergency Department: A Retrospective Cohort Study.

Emergency departments (EDs) are challenged with a growing population of older patients. These patients are at risk for a prolonged length of stay (LOS) at the ED and face more complications and poorer clinical outcomes. We aimed to identify risk factors for a prolonged LOS of older patients at the ED.

Synthesis of novel curcuminoids accommodating a central β-enaminone motif and their impact on cell growth and oxidative stress.

Curcuminoids are high-potential drugs targeting multiple components of vital signaling pathways without being toxic, and are therefore considered to be valuable lead structures in medicinal chemistry. Unfortunately, most curcuminoids poorly reach their site of action because of low bioavailability issues, (partly) associated with the labile β-diketo structure. In that respect, curcumin derivatives bearing a central β-enaminone fragment may have improved solubility and intestinal stability, and therefore may represent a new class of analogs with higher bioactivity.