Results 51 to 60 of about 3,947 (212)
ABSTRACT Depression is a mental disorder with a high lifetime prevalence and one of the leading causes of disability worldwide. As many patients experience another depressive episode after being treated, predictive monitoring for the risk of relapse is essential for healthcare professionals to be able to follow up on patients and intervene early ...
Paulina von Stackelberg +4 more
wiley +1 more source
Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification
ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry +2 more
wiley +1 more source
ABSTRACT Person‐centred care (PCC) has been increasingly promoted in wound management, yet its theoretical foundations and practical application remain unclear. This scoping review aimed to map and synthesise how PCC frameworks, concepts and outcome measures have been used in wound care.
Eva‐Maria Panfil +2 more
wiley +1 more source
Abstract Water resources sustainability hinges upon an efficient and effective regulatory compliance and enforcement strategy that steers the collective actions of interdependent stakeholders. Achieving this goal is particularly challenging for groundwater due to its hidden nature, significant knowledge gaps about its state, its status as a common‐pool
Marcos Canales +4 more
wiley +1 more source
Comparison of control charts for monitoring clinical performance using binary data. [PDF]
BACKGROUND: Time series charts are increasingly used by clinical teams to monitor their performance, but statistical control charts are not widely used, partly due to uncertainty about which chart to use.
Cromwell, David A +4 more
core +1 more source
Enhancing Food Safety in the Cold Chain Through Internet of Things and Artificial Intelligence
ABSTRACT Effective cold chain management is crucial for ensuring food safety, but traditional monitoring approaches remain reactive and fragmented. Industry 4.0 technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), offer transformative potential for real‐time tracking, automation, and predictive analytics.
Wagner Augusto Müller +2 more
wiley +1 more source
Improved EWMA and CUSUM Charts Under Modified Successive Sampling for Monitoring Process Dispersion
The Statistical Process Control (SPC) toolkit is extensively utilized to identify variations in processes, with control charts serving as the most efficient and commonly employed instrument for real-time process monitoring.
Tahir Mahmood +2 more
doaj +1 more source
PETA KENDALI EWMA RESIDUAL PADA DATA BERAUTOKORELASI
Control charts with autocorrelation can be overcome by creating control chart with residuals from the best forecasting model. EWMA control chart is a alternative to the Shewhart control chart when detecting small shifts.
NI KADEK YUNI DEWIANTARI +2 more
doaj +1 more source
The control chart is a fundamental tool in statistical process control (SPC), widely employed in manufacturing and construction industries for process monitoring with the primary objective of maintaining quality standards and improving operational ...
Aamir Majeed Chaudhary +5 more
doaj +1 more source
Effectiveness of Punch Grafting in Promoting Healing and Reducing Pain in Hard‐to‐Heal Leg Ulcers
ABSTRACT Approximately 20% of chronic leg ulcers remain recalcitrant despite treatment of underlying factors and best standard of wound care. This study aimed to evaluate the effectiveness of partial‐thickness punch grafting in promoting healing and reducing pain in patients with chronic, hard‐to‐heal leg ulcers of various causes. In this single‐centre,
Julia Neuenschwander +5 more
wiley +1 more source

