Anomalies in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings can lead to performance degradation, energy inefficiencies, and occupant discomfort. Automated anomaly detection is essential to prevent these issues. Machine learning based anomaly detection techniques are effective …

Highlights What is the primary question addressed by this study? What is the accuracy of DeltaScan;a portable brain state monitor that offers real-time automated artifact rejection and analysis, delivering a probability score for both acute encephalopathy and delirium in both ICU and non-ICU patients? …

Background: Intravenous (IV) therapy using short peripheral IV catheters (PIVC) is commonplace with neonatal patients. However, this therapy is associated with high complication rates including the leakage of infused fluids from the vasculature into the surrounding tissues; a condition referred to as, …

Background: Ventilation with lower positive end–expiratory pressure (PEEP) may cause loss of lung aeration in critically ill invasively ventilated patients. This study investigated whether a systematic lung ultrasound (LUS) scoring system can detect such changes in lung aeration in a study comparing …

This paper provides a bibliometric review of 156 articles published between 2011 and 2021 on social impact bonds (SIBs). We identified five research streams, namely studies that: (i) place the origins of SIBs in the neo-liberalism framework; (ii) consider SIBs as an evolution of the new public management …

This paper proposes an innovative method for factor analyzing data that potentially contains individual response bias. Past methods include the use of “ipsative” data, or, related to that, “ipsatized” data. Unfortunately, factor analysis as the main method used for analyzing the dimensionality of data, …

Maintaining mental health can be quite challenging, especially when exposed to stressful situations. In many cases, mental health problems are recognized too late to effectively intervene and prevent adverse outcomes. Recent advances in the availability and reliability of wearable technologies offer …

The paper introduced an automatic score detection model using object detection techniques. The performance of sevenmodels belonging to two different architectural setups was compared. Models like YOLOv8n, YOLOv8s, YOLOv8m, RetinaNet-50, and RetinaNet-101 are single-shot detectors, while Faster RCNN-50 …

Background: Aerobic (VT1) and anaerobic threshold (VT2) detection requires either expensive gas analysis machines or difficult practise. A company named StepUp Air who have created a wearable Breathing Rate (BR) and Heart Rate (HR) monitor could potentially provide a cheaper solution in. Objective: …

This paper focuses on the use of discrete event simulation (DES) as a decision support tool for airport land use development. As a study case, Querétaro Airport (Mexico) is used, due to its rapid growth and the different services it offers. The SIMIO® software was used to carry out a macro-level simulation …