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This edited volume brings together the work of a number of researchers working in the framework of Processability Theory (PT), a psycholinguistic theory of second language acquisition (SLA) (Pienemann 1998; 2005). The aim of the volume is two-fold: It engages with current issues in both theory development and theory application and focuses on theoretical developments within the framework of PT as well as issues related to second language teaching and assessment. In coordinating approaches to addressing both theoretical and applied aspects of SLA, this volume aims at bridging the gap between theory and practice. It also reflects the richness of debate within the field of PT-based research. The volume is intended for postgraduate students, SLA researchers as well as language teachers.
Second language acquisition --- Interlanguage (Language learning) --- Bilingualism. --- Language acquisition. --- Cross-language information retrieval. --- Linguistics --- Language Acquisition --- Processability Theory --- Psycholinguistics --- Study and teaching. --- Linguistics --- Language Acquisition --- Processability Theory --- Psycholinguistics
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This edited volume brings together the work of a number of researchers working in the framework of Processability Theory (PT), a psycholinguistic theory of second language acquisition (SLA) (Pienemann 1998; 2005). The aim of the volume is two-fold: It engages with current issues in both theory development and theory application and focuses on theoretical developments within the framework of PT as well as issues related to second language teaching and assessment. In coordinating approaches to addressing both theoretical and applied aspects of SLA, this volume aims at bridging the gap between theory and practice. It also reflects the richness of debate within the field of PT-based research. The volume is intended for postgraduate students, SLA researchers as well as language teachers.
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This edited volume brings together the work of a number of researchers working in the framework of Processability Theory (PT), a psycholinguistic theory of second language acquisition (SLA) (Pienemann 1998; 2005). The aim of the volume is two-fold: It engages with current issues in both theory development and theory application and focuses on theoretical developments within the framework of PT as well as issues related to second language teaching and assessment. In coordinating approaches to addressing both theoretical and applied aspects of SLA, this volume aims at bridging the gap between theory and practice. It also reflects the richness of debate within the field of PT-based research. The volume is intended for postgraduate students, SLA researchers as well as language teachers.
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Processability Theory (PT) as developed by Manfred Pienemann is a prominent theory of second language acquisition. PT serves as a framework for a wide range of research covering issues, including L2 processing, interlanguage variation, typological effects on SLA, L1 transfer, pidgins and creoles, linguistic profiling, stabilisation/fossilisation and teachability. This textbook provides a reader-friendly introduction to PT. It is designed for students with a basic knowledge of (applied) linguistics. The components of PT are set out in four parts. The first part focuses on observed facts, in par
Psycholinguistics --- Grammar --- #KVHA:Taalkunde --- #KVHA:Taalonderwijs --- #KVHA:Grammatica --- #KVHA:Processability --- Grammar, Comparative and general. --- Interlanguage (Language learning) --- Psycholinguistics. --- Second language acquisition. --- Interlanguage (Language learning). --- Grammar, Comparative and general --- Second language acquisition --- Second language learning --- Language acquisition --- Language, Psychology of --- Language and languages --- Psychology of language --- Speech --- Linguistics --- Psychology --- Thought and thinking --- Languages, Mixed --- Comparative grammar --- Grammar, Philosophical --- Grammar, Universal --- Philosophical grammar --- Philology --- Psychological aspects --- Study and teaching --- Grammar, Comparative
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This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
Technology: general issues --- History of engineering & technology --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion
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This book covers the latest developments in the field of rheology and polymer processing, highlighting cutting-edge research focusing on the processing of advanced polymers and their composites. It demonstrates that the field of rheology and polymer processing is still gaining increased attention. Presented within are cutting-edge research results and the latest developments in the field of polymer science and engineering, innovations in the processing and characterization of biopolymers and polymer-based products, polymer physics, composites, modeling and simulations, and rheology.
Technology: general issues --- Chemical engineering --- polypropylene --- foam-extrusion --- morphology --- foaming --- crystallization kinetics --- side chain liquid crystal polymer --- magnesium hydroxide --- low density polyethylene --- toughness --- processability --- thermoplastic vulcanizates --- compression set --- carbon fiber reinforced polycarbonate composites --- hydrothermal aging --- solid particle erosion --- mechanical property --- micro-/nano-layer coextrusion --- multilayer films --- multiscale structure --- dielectric properties --- thermoforming --- PMSQ–HDPE --- viscoelastic --- experimental --- bubble inflation test --- DMA --- Christensen’s model --- FEM --- biopolymer --- Solanyl®, wood flour --- Lignocel®, lignocellulosic particles --- fuller method --- mechanical properties --- rheological characterization --- viscoelastic spinning --- draw resonance --- kinematic waves --- extensional deformation --- stability indicator --- Giesekus fluid --- polycaprolactone --- nano-hydroxylapatite --- 3D printing --- solution extrusion --- process optimization --- drug release --- recycling --- eco-design --- coextrusion --- multilayers --- micro-/nanolayered polymers --- interfacial phenomena --- multilayer coextrusion --- reactive melt processing --- water-assisted --- radical crosslinking --- peroxide initiators --- biopolymers --- poly(ε-caprolactone) --- rheology --- molecular architecture --- long-chain branching --- polybutylene succinate --- biodegradable --- size-exclusion chromatography --- shear rheology --- extensional rheology --- Cox-Merz rule --- high-viscosity HDPE materials --- extrusion --- modelling and simulation --- spray process --- FEP coating --- scratch behavior --- friction and wear resistance --- circular economy --- n/a --- PMSQ-HDPE --- Christensen's model
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This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
Technology: general issues --- History of engineering & technology --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- n/a --- gaussian naïve bayes
Choose an application
This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- n/a --- gaussian naïve bayes
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