In this paper, a passive wireless sensor is presented for monitoring structural integrity of wind turbine blades manufactured using reinforced glass fibers.
Various non-destructive test methods (thermography, microscopy and optical fracture analysis with high-speed photography) are presented for monitoring the void formation, multiaxial fatigue damage mechanisms and final failure process in glass-fibre reinforced plastics (GFRPs) manufactured by a filament winding machine.
These constraints and concerns are magnified in community corrections agencies, where the appropriate role of pharmacotherapy is not well understood, and the medically appropriate use of opioid agonists (e.g., methadone) may present challenges for monitoring offenders' illicit drug use.
The UA-DSPME-UV vis method performances like excellent linearity (LR), limits of detection (LOD), limits of qUA-DSPME-UV visf 10–5000 μg L−1 with R2 of 0.99, LOD (1.96 ng mL−1), LOQ (6.53 μg L−1), respectively show sUA-DSPME-UV visccurate applicability of the present method for monitoring analytes with within- and between-day performances 0.96–3.38%.
Use of the present algorithm for monitoring cardiac function in trastuzumab-treated patients has resulted in a low incidence of clinical heart failure in routine practice.
The antenatal period presents opportunities for monitoring the pregnancy and providing pregnant women with interventions that improve maternal health as well as the health and survival of infants.
The aim of this article is to present a system for monitoring the shaft motion of a turbocharger, which will be used in turbocharger destructive testing.
We present a strategy for monitoring the atmosphere in the vicinity of a geological storage project that is designed to detect and quantify potential emissions.
To present a system for monitoring the quality of care in hospitals with automated inpatient quality indicators (AIQI) obtained from a minimum basic data set (MBDS) with a view to facilitating benchmarking and improving the quality of care in hospitals.
We present an approach for monitoring and forecasting landscape level indicators of the condition of protected area (PA) ecosystems including changes in snowcover, vegetation phenology and productivity using the Terrestrial Observation and Prediction System (TOPS).
