Results 91 to 100 of about 21,463,749 (293)

THE METHOD OF MULTIVARIATE STATISTICAL ANALYSIS OF THE TIME MULTIVARIATE CRITICAL QUALITY ATTRIBUTES OF MANUFACTURE PROCESS WITH THE DATA FACTORIZATION [PDF]

, 2019
Context. This paper presents a method for solving the problem of product’s quality assurance at the stage of the initialmanufacture process design in accordance with the process-analytical technology for the design of modern certified manufacturing –QbD.
Tereshchenko, I. V., Havrylko, Ye. V., Tereshchenko, A. I., Kurchenko, O. A.   +3 more
core   +1 more source

Elevated liver enzymes is not an impediment to allopurinol dose escalation: an observational cohort study

Arthritis Care &Research, Accepted Article.
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, Qai Ven Yap, Peter Pak Moon Cheung, Amelia Santosa, Gim Gee Teng   +4 more
wiley   +1 more source

An in-silico approach towards multivariate acceptable ranges in biopharmaceutical manufacturing

AAPS Open
Multivariate interactions between process parameters can heavily impact product quality and process performance in biopharmaceutical manufacturing processes. Thus, multivariate interactions should be identified and appropriately controlled.
Marco Kunzelmann, Judith Thoma, Sabrina Laibacher, Joey M. Studts, Beate Presser, Julia Spitz   +5 more
doaj   +1 more source

Latent Structures based-Multivariate Statistical Process Control: a paradigm shift [PDF]

, 2014
The basic fundamentals of statistical process control (SPC) were proposed by Walter Shewhart for data-starved production environments typical in the 1920s and 1930s.
Ferrer, Alberto
core   +1 more source

Incidence, Risk Factors and Management of Adverse Events in Contemporary Real‐World Care of Children with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
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, Roberta A. Berard, Jean‐Philippe Proulx‐Gauthier, Heinrike Schmeling, Michelle Batthish, Gilles Boire, Adam M. Huber, Dax G. Rumsey, Jaime Guzman, Gaëlle Chédeville, The CAPRI registry Investigators   +10 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, Mohammad Reza Maleki, Mohammad Hadi Doroudyan   +2 more
doaj  

Process Performance Analysis in Large-Scale Systems Integrating Different Sources of Information [PDF]

, 2012
17.09.13 KB. ok to add accepted version to Spiral. IFACProcess auditing using historical data can identify causes for poor performance and reveal opportunities to improve process operation. To date, the data used has been limited to process measurements;
Rapp, Knut, Thornhill, NF, Cecílio, IM
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

3D Bioprinted Glioblastoma Multiforme Models: How the Extracellular Matrix Glycosignature Influences Drug Response

Advanced Functional Materials, EarlyView.
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, Marco Piazzoni, Ilaria Borghi, Alberto Baeri, Alessandro Fumagalli, Federica Perillo, Hafiz Muhammad Fahad, Martina Ghizzi, Luca Crippa, Gabriella Nicolini, Angela Bentivegna, Daniele Ramazzotti, Valentina Zuliani, Mirko Rivara, Carlo Giorgio Giussani, Andrea Di Cristofori, Guido Cavaletti, Federica Facciotti, Sobhan Sheikhi, Claire Seydoux, Murielle Salome, Peter Cloetens, Alberto Bravin, Paola Coan, Francesco Nicotra, Laura Russo   +25 more
wiley   +1 more source

Multivariate Statistical Analysis: a Strategic Tool for Quality and Processes Control in Food Industry

Publicaciones e Investigación, 2011
The use of multivariate statistical techniques for quality and process control in the food industry has been growing significantly since the mid-seventies, as a result of the informatics revolution which facilitated the analysis of large data sets ...
Carlos Mario Zuluaga Dominguez
doaj   +1 more source