Results 101 to 110 of about 15,402,643 (297)
Advanced Science, EarlyView.A non‐invasive periodontitis diagnosis platform was developed using Au nanoparticles‐decorated mesoporous Cr2O3 (Au@mCr2O3) particles with Schwarz P surface as matrix for saliva metabolic fingerprinting (SMFs) analysis via MALDI‐MS. With the assistance of machine learning of SMFs, this platform enables efficient diagnosis and the screening of potential
Yue Sun +9 more
wiley +1 more source
Monitoring Variability of Multivariate-Attribute Processes Using Artificial Neural Network
مدیریت تولید و عملیات, 2015 Nowadays in some manufacturing processes, the quality of a product or process is well expressed by both correlated attribute and variable quality characteristics.
Amirhossein Amiri +2 more
doaj
Assessment of Slow Feature Analysis and Its Variants for Fault Diagnosis in Process Industries
TechnologiesAccurate monitoring of complex industrial plants is crucial for ensuring safe operations and reliable management of desired quality. Early detection of abnormal events is essential to preempt serious consequences, enhance system performance, and reduce ...
Abid Aman, Yan Chen, Liu Yiqi
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Multivariate Statistical Process Control: Process Monitoring Methods and Applications
, 2013 Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers.
Song, Zhihuan, Ge, Zhiqiang
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Advanced Science, EarlyView.LRRC4 suppresses GBM by regulating AP2A1‐containing Golgi‐derived clathrin‐coated vesicles. Low LRRC4 allows cytoplasmic AP2A1 to maintain mitochondrial fission‐fusion, MICOS integrity, and OXPHOS, promoting proliferation and invasion. High LRRC4 redirects AP2A1‐containing Golgi‐derived clathrin‐coated vesicles to mitochondria, disrupts MICOS, enhances
Yang Li +5 more
wiley +1 more source
An Overview of the Application of Modern Statistical Techniques in Semiconductor Manufacturing
Applied System InnovationThe semiconductor industry has long relied on Statistical Process Control (SPC) for yield and reliability management. In early technology nodes, classic univariate tools such as Shewhart charts, cumulative sums (CUSUM), exponentially weighted moving ...
Hsuan-Yu Chen, Chiachung Chen
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Ultrafast Optoacoustics Reveals Intricate 3D Anisotropic Elasticity in Nanocrystalline Membranes
Advanced Science, EarlyView.Ultrafast optoacoustic spectroscopy combined with a Sagnac interferometer enables non‐contact, simultaneous characterization of thickness and the full three‐dimensional anisotropic elastic constants in freestanding nanocrystalline copper membranes. By capturing gigahertz Lamb waves and zero‐group‐velocity resonances followed by SAFE‐GA inversion, the ...
Shuchang Zhang +11 more
wiley +1 more source
Advanced Science, EarlyView.Aberrant GALNT7‐mediated O‐GalNAcylation stabilizes TAZ to drive gallbladder cancer progression through a feed‐forward transcriptional loop. Structure‐based screening identifies Olaparib as a potent GALNT7 antagonist that disrupts this oncogenic axis, providing an immediate therapeutic strategy for this aggressive malignancy.
Peng Qiu +11 more
wiley +1 more source
Multivariate Statistical Process Monitoring On Structural Fault [PDF]
, 2015 In modern plants there are many operating variables measured by sensors and logged into the process system database. Thus the amount of available data needs to be analyzed is enormous and they are highly correlated.
Mohamad Saidi, Afifah
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, 1973 The first issue of the Journal of Multivariate Experimental Personality and Clinical Psychology edited by G.R. Pierson. Editorial policy board: Raymond B. Cattell, Hans J. Eysenck, Joy P. Guilford and Paul E. Meehl.Digitized and published in SOAR:Shocker
Western Institute of Multivariate Experimental Psychology
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