Results 71 to 80 of about 15,402,643 (297)
False Alarms Rate Reduction Using Filtered Monitoring Indices
False alarms are the major problem in fault detection when using multivariate statistical process monitoring such as principal component analysis (PCA), they affect the detection accuracy and lead to make wrong decisions about the process operation ...
M. AMMICHE, A. KOUADRI
doaj +1 more source
Objective Routine liver enzyme monitoring is advocated while on allopurinol but supporting guidance is lacking. We assessed the incidence and factors associated with elevated liver enzymes in gout patients commenced on allopurinol. Methods 150 patients with gout and normal baseline serum aminotransferases initiated on allopurinol were followed ...
May Shuen Tang +4 more
wiley +1 more source
An Improved Real-Time Contrasts Control Chart Using Novelty Detection and Variable Importance
Fault detection and isolation are important tasks in statistical process control. A real-time contrasts (RTC) control chart converts the statistical process-monitoring problem to the real-time classification problem, thus outperforming traditional ...
Kwang-Su Shin +2 more
doaj +1 more source
The analytical methods for the determination of the amine solvent properties do not provide input data for real-time process control and optimization and are labor-intensive, time-consuming, and impractical for studies of dynamic changes in a process. In
Mohd Yusop Nurida +4 more
doaj +1 more source
Objective We describe the frequency, risk factors, severity, and management of actionable and serious adverse events (AAE and SAE) in children with newly diagnosed Juvenile Idiopathic Arthritis (JIA) in Canada. Methods We enrolled patients within 3 months of JIA diagnosis in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry,
Bashayer Alnuaimi +10 more
wiley +1 more source
Performance monitoring of MPC based on dynamic principal component analysis
A unified framework based on the dynamic principal component analysis (PCA) is proposed for performance monitoring of constrained multi-variable model predictive control (MPC) systems.
Chen, Sheng +3 more
core +2 more sources
Robust Monitoring of Multivariate Location Using a New Nonparametric Depth-Based Control Chart
Monitoring multivariate processes under nonnormal conditions remains a persistent challenge in statistical process control, as most classical control charts rely heavily on distributional assumptions.
Mahdieh Bayati +2 more
doaj +1 more source
Temporal-Spatial Global Locality Projections for Multimode Process Monitoring
Multimode is an important feature of modern processes, since various manufacturing strategies are needed to satisfy different demands of markets.
Bing Song, Hongbo Shi
doaj +1 more source
The third issue of the Journal of Multivariate Experimental Personality and Clinical Psychology edited by G.R. Pierson. Editorial policy board: R.B. Cattell, H.J. Eysenck, J.P. Guilford and P.E.
core +1 more source
Aberrant glycosylation in the glioblastoma tumor microenvironment drives therapeutic resistance. Here, a 3D bioprinted model was engineered by incorporating α‐NeuNAc‐(2→3)‐β‐D‐Gal‐ and chondroitin sulfate. Combined multiplex immunofluorescence and synchrotron‐based nanoCT analysis revealed that glycan‐matrix interactions dictate specific drug‐escape ...
Francesca Cadamuro +25 more
wiley +1 more source

