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Modern Applied Statistics With S

Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several decades. As a computational engine to data mining and analytics, machine learning serves as basic tools for information extraction, data pattern recognition and predictions. From the perspective of machine learning, this paper provides a review on existing data mining and analytics applications in the process industry over the past several decades. The state-of-the-art of data mining and analytics are reviewed through eight unsupervised learning and ten supervised learning algorithms, as well as the application status of semi-supervised learning algorithms. Several perspectives are highlighted and discussed for future researches on data mining and analytics in the process industry.

Data Mining and Analytics in the Process Industry: The Role of Machine Learning

This chapter contains sections titled: Historical Review Supervised Multilayer Networks Unsupervised Neural Networks: Kohonen Network Unsupervised Networks: Adaptive Resonance Theory Network Model Validation Summary References Recommended Exercises

Nonlinear System Identification

Predictive maintenance in the Industry 4.0: A systematic literature review

https://www.tpbin.com/Uploads/Subjects/7f75011f-fae9-4044-8f76-8ee086d5b01f.pdf

Biphasic, Triphasic, and Multiphasic Calcium Orthophosphates

Improved Nonlinear PCA for Process Monitoring Using Support Vector Data Description

Biphasic calcium phosphate (BCP) discs were fabricated and then sintered using two different sintering programs to establish whether the phases present could be controlled at low and high sintering temperatures. X-ray diffraction (XRD) was used to establish the phases present after sintering and scanning electron microscopy (SEM) determined the microstructure. Sintering program 1 involved a simple heating and cooling schedule and temperatures of 1100, 1250, 1275 and 1300°C. It produced samples containing an additional alpha-tricalcium phosphate (α-TCP) phase at temperatures above 1100°C. The original ratio of hydroxyapatite/beta-tricalcium phosphate (HA/β-TCP) could not be maintained above this temperature. Sintering program 2 combined the heating and cooling schedules of the first program with a 900°C hold stage to allow α-TCP to β-TCP conversion to take place. At temperatures of 1250 and 1275°C, this program was successful in completely removing the α-TCP phase and preserving the HA:β-TCP ratio. The SEM results show that the surface morphology of the discs was not greatly affected by choice of sintering program.

Sintering of biphasic calcium phosphates

A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion

Electrospun nanofibrous mats consisting of chitosan (CS) and polyvinylpyrrolidone (PVP) were constructed Tuning of solution and process parameters was performed and resulted in an electrospun system containing a 6:4 ratio of PVP:CS This is a significant increase in the proportion of spun CS on the previously reported highest ratio PVP:CS blend SEM analysis showed that the nanofibrous mats with 4 wt% CS/6 wt% PVP (sample E) comprised homogenous, uniform fibres with an average diameter of 0569 μm XPS analysis showed that the surface of the samples consisted of PVP Raman and FTIR analysis revealed intermolecular interactions (via H-bonding) between PVP and CS In FTIR spectra, the contribution of chitosan to CS/PVP complexes was shown by the downshift of the C=O band and by the linear increase in intensity of C-O stretching in CS XPS analysis showed a smaller shift at the binding energy 531 eV, which relates to the amide of the acetylated functional groups The obtained results demonstrate a sensitivity of Raman and FTIR tests to the presence of chitosan in PVP:CS blend The chemotherapy drug 5-Fu was incorporated into the constructs and cell viability studies were performed WST-8 viability assay showed that exposure of A549 human alveolar basal epithelial cells to 10 mg/mL 5-Fu loaded fibres was most effective at killing cells over 24 h On the other hand, the constructs with loading of 1 mg/mL of drug were not efficient at killing A549 human alveolar basal epithelial cells This study showed that CS/PVP/5-Fu constructs have potential in chemotherapeutic drug delivery systems

https://www.mdpi.com/2227-9040/9/4/70/pdf

Electrospun Fibres of Chitosan/PVP for the Effective Chemotherapeutic Drug Delivery of 5-Fluorouracil

Quantitative characterization of clay dispersion in polypropylene-clay nanocomposites by combined transmission electron microscopy and optical microscopy

Marion McAfee

Papers

Improved Nonlinear PCA for Process Monitoring Using Support Vector Data Description

Sintering of biphasic calcium phosphates

A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion

Electrospun Fibres of Chitosan/PVP for the Effective Chemotherapeutic Drug Delivery of 5-Fluorouracil

Quantitative characterization of clay dispersion in polypropylene-clay nanocomposites by combined transmission electron microscopy and optical microscopy