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One of the most promising developments in modelling knowledge is cognitive network science, which aims to investigate cognitive phenomena driven by the networked, associative organization of knowledge. For example, investigating the structure of semantic memory via semantic networks has illuminated how memory recall patterns influence phenomena such as creativity, memory search, learning, and more generally, knowledge acquisition, exploration, and exploitation. In parallel, neural network models for artificial intelligence (AI) are also becoming more widespread as inferential models for understanding which features drive language-related phenomena such as meaning reconstruction, stance detection, and emotional profiling. Whereas cognitive networks map explicitly which entities engage in associative relationships, neural networks perform an implicit mapping of correlations in cognitive data as weights, obtained after training over labelled data and whose interpretation is not immediately evident to the experimenter. This book aims to bring together quantitative, innovative research that focuses on modelling knowledge through cognitive and neural networks to gain insight into mechanisms driving cognitive processes related to knowledge structuring, exploration, and learning. The book comprises a variety of publication types, including reviews and theoretical papers, empirical research, computational modelling, and big data analysis. All papers here share a commonality: they demonstrate how the application of network science and AI can extend and broaden cognitive science in ways that traditional approaches cannot.

Information technology industries --- text mining --- big data --- analytics --- review --- self-organization --- computational philosophy --- brain --- synaptic learning --- adaptation --- functional plasticity --- activity-dependent resonance states --- circular causality --- somatosensory representation --- prehensile synergies --- robotics --- COVID-19 --- social media --- hashtag networks --- emotional profiling --- cognitive science --- network science --- sentiment analysis --- computational social science --- Twitter --- VADER scoring --- correlation --- semantic network analysis --- intellectual disability --- adolescents --- EEG --- emotional states --- working memory --- depression --- anxiety --- graph theory --- classification --- machine learning --- neural networks --- phonotactic probability --- neighborhood density --- sub-lexical representations --- lexical representations --- phonemes --- biphones --- cognitive network --- smart assistants --- knowledge generation --- intelligent systems --- web components --- deep learning --- web-based interaction --- cognitive network science --- text analysis --- natural language processing --- artificial intelligence --- emotional recall --- cognitive data --- AI --- pharmacological text corpus --- automatic relation extraction --- gender stereotypes --- story tropes --- movie plots --- network analysis --- word co-occurrence network --- n/a

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One of the most promising developments in modelling knowledge is cognitive network science, which aims to investigate cognitive phenomena driven by the networked, associative organization of knowledge. For example, investigating the structure of semantic memory via semantic networks has illuminated how memory recall patterns influence phenomena such as creativity, memory search, learning, and more generally, knowledge acquisition, exploration, and exploitation. In parallel, neural network models for artificial intelligence (AI) are also becoming more widespread as inferential models for understanding which features drive language-related phenomena such as meaning reconstruction, stance detection, and emotional profiling. Whereas cognitive networks map explicitly which entities engage in associative relationships, neural networks perform an implicit mapping of correlations in cognitive data as weights, obtained after training over labelled data and whose interpretation is not immediately evident to the experimenter. This book aims to bring together quantitative, innovative research that focuses on modelling knowledge through cognitive and neural networks to gain insight into mechanisms driving cognitive processes related to knowledge structuring, exploration, and learning. The book comprises a variety of publication types, including reviews and theoretical papers, empirical research, computational modelling, and big data analysis. All papers here share a commonality: they demonstrate how the application of network science and AI can extend and broaden cognitive science in ways that traditional approaches cannot.

text mining --- big data --- analytics --- review --- self-organization --- computational philosophy --- brain --- synaptic learning --- adaptation --- functional plasticity --- activity-dependent resonance states --- circular causality --- somatosensory representation --- prehensile synergies --- robotics --- COVID-19 --- social media --- hashtag networks --- emotional profiling --- cognitive science --- network science --- sentiment analysis --- computational social science --- Twitter --- VADER scoring --- correlation --- semantic network analysis --- intellectual disability --- adolescents --- EEG --- emotional states --- working memory --- depression --- anxiety --- graph theory --- classification --- machine learning --- neural networks --- phonotactic probability --- neighborhood density --- sub-lexical representations --- lexical representations --- phonemes --- biphones --- cognitive network --- smart assistants --- knowledge generation --- intelligent systems --- web components --- deep learning --- web-based interaction --- cognitive network science --- text analysis --- natural language processing --- artificial intelligence --- emotional recall --- cognitive data --- AI --- pharmacological text corpus --- automatic relation extraction --- gender stereotypes --- story tropes --- movie plots --- network analysis --- word co-occurrence network --- n/a

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Thermoresponsive polymers, materials able to undergo sharp and often reversible phase separations in response to temperature stimuli, are introducing new paradigms in different fields, including medicine, advanced separations and oil and gas. In "Advances in Thermoresponsive Polymers", a clear picture of the frontiers reached in the understanding of the mechanistic behavior associated with temperature-induced phase separation, the influence of the polymer structure in regulating the macroscopic behavior of these materials and the latest applications for which thermoresponsive polymers show great potential is provided.

Technology: general issues --- Chemical engineering --- poly(N,N-diethylacrylamide) --- glycidyl methacrylate --- thermoresponsive copolymer --- α-chymotrypsin --- polymer-enzyme conjugate nanoparticle --- polymeric nanoparticles --- emulsion polymerization --- RAFT --- thermo-responsive polymers --- smart materials --- LCST --- phase diagram --- phase separation --- thermoresponsive star-shaped polymers --- poly-2-alkyl-2-oxazines and poly-2-alkyl-2-oxazolines --- aqueous solutions --- light scattering --- turbidimetry --- microcalorimetry --- aggregation --- dual-stimuli-responsive materials --- thin films --- out-of-equilibrium --- thermoresponsive --- oligo(ethylene glycol) --- OEGylated --- poly(amino acid) --- ring-opening polymerization --- post-polymerization modification --- Ugi reaction --- synthesis --- star-shaped macromolecules --- calix[n]arene --- block and gradient copolymers of poly-2-alkyl-2-oxazolines --- conformation --- thermoresponsibility --- self-organization --- poly-N-vinylcaprolactam --- thermoresponsive polymers --- polymer-protein conjugates --- controlled release --- temperature-sensitive polymers --- hydrogels --- stereocomplexation --- polylactic acid --- temperature/reduction --- self-recombination --- thermosensitive polymers --- enzyme complexation --- reversible inactivation --- UCST polymers --- stimuli-responsive polymers --- electronic paramagnetic resonance --- spin probe --- nitroxides --- coil to globule --- poly(L-lysine) --- N-isopropylacrylamide --- aza-Michael addition reaction --- thermo-responsive --- pH-responsive --- biodegradable polymer --- poly(N,N-diethylacrylamide) --- glycidyl methacrylate --- thermoresponsive copolymer --- α-chymotrypsin --- polymer-enzyme conjugate nanoparticle --- polymeric nanoparticles --- emulsion polymerization --- RAFT --- thermo-responsive polymers --- smart materials --- LCST --- phase diagram --- phase separation --- thermoresponsive star-shaped polymers --- poly-2-alkyl-2-oxazines and poly-2-alkyl-2-oxazolines --- aqueous solutions --- light scattering --- turbidimetry --- microcalorimetry --- aggregation --- dual-stimuli-responsive materials --- thin films --- out-of-equilibrium --- thermoresponsive --- oligo(ethylene glycol) --- OEGylated --- poly(amino acid) --- ring-opening polymerization --- post-polymerization modification --- Ugi reaction --- synthesis --- star-shaped macromolecules --- calix[n]arene --- block and gradient copolymers of poly-2-alkyl-2-oxazolines --- conformation --- thermoresponsibility --- self-organization --- poly-N-vinylcaprolactam --- thermoresponsive polymers --- polymer-protein conjugates --- controlled release --- temperature-sensitive polymers --- hydrogels --- stereocomplexation --- polylactic acid --- temperature/reduction --- self-recombination --- thermosensitive polymers --- enzyme complexation --- reversible inactivation --- UCST polymers --- stimuli-responsive polymers --- electronic paramagnetic resonance --- spin probe --- nitroxides --- coil to globule --- poly(L-lysine) --- N-isopropylacrylamide --- aza-Michael addition reaction --- thermo-responsive --- pH-responsive --- biodegradable polymer

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This book consists of original and review papers which describe basic and applied studies for the modifications of metallic and inorganic materials by using energetic ion/electron beams. When materials are irradiated with energetic charged particles (ions /electrons), their energies are transferred to electrons and atoms in materials, and the lattice structures of the materials are largely changed to metastable or non-thermal-equilibrium states, modifying several physical properties. Such phenomena will engage the interest of researchers as a basic science, and can also be used as promising tools for adding new functionalities to existing materials and for the development of novel materials. The papers in this book cover the ion/electron-beam-induced modifications of several properties (optical, electronic, magnetic, mechanical, and chemical properties) and lattice structures. This book will, therefore, be useful for many scientists and engineers who have been involved in fundamental material science and the industrial applications of metallic and inorganic materials.

Research & information: general --- swift heavy ion --- YAG (Y3Al5O12) --- refractive index profiling --- synergy effect --- optical waveguide --- hillocks --- ion tracks --- ion irradiation --- TEM --- vanadium alloy --- irradiation hardening --- radiation damage --- electron irradiation --- metal surface --- sputtering --- groove --- hole --- self-organization --- pattern --- laser photocathode --- pulsed electron sources --- pulsed transmission electron microscope --- ion beam --- copper oxide --- chromatic change --- photoemission spectrum --- beam viewer --- light water reactor --- zirconium alloys --- nuclear fuel cladding --- thermal desorption spectroscopy --- transmission electron microscopy --- high energy irradiation --- ion track overlapping --- oxides --- Monte Carlo simulation for two-dimensional images --- lattice structures and magnetic states --- binomial and Poisson distribution functions --- ion accelerators at WERC --- irradiation effects on space electronics --- single event --- total ionization dose --- displacement damage --- solar cell --- space application --- irradiation test --- beam condition --- degradation --- standardization --- ISO --- high-Tc superconductors --- critical current density --- flux pinning --- heavy-ion irradiation --- columnar defects --- anisotropy --- superconductor --- irradiation --- critical current --- cerium oxide --- CeO2 --- swift heavy ions --- phase transition --- partially stabilized zirconia --- XRD --- radiation simulation --- ion-track etching --- electrodeposition --- micro/nano-sized metal cones --- template synthesis --- electrocatalyst --- excited reaction field --- transmission electron microscope --- nanomaterials --- manipulation --- nanostructure --- Al --- Al2O3 --- accelerator-driven system (ADS) --- liquid metal corrosion (LMC) --- lead-bismuth eutectic (LBE) --- self-ion irradiation --- oxygen concentration in LBE --- irradiation effect on corrosion behavior --- electronic excitation --- lattice disordering --- electron-lattice coupling --- nanopore structure --- ceria --- molecular dynamics --- simulation --- structural analysis --- defects --- swift heavy ion --- YAG (Y3Al5O12) --- refractive index profiling --- synergy effect --- optical waveguide --- hillocks --- ion tracks --- ion irradiation --- TEM --- vanadium alloy --- irradiation hardening --- radiation damage --- electron irradiation --- metal surface --- sputtering --- groove --- hole --- self-organization --- pattern --- laser photocathode --- pulsed electron sources --- pulsed transmission electron microscope --- ion beam --- copper oxide --- chromatic change --- photoemission spectrum --- beam viewer --- light water reactor --- zirconium alloys --- nuclear fuel cladding --- thermal desorption spectroscopy --- transmission electron microscopy --- high energy irradiation --- ion track overlapping --- oxides --- Monte Carlo simulation for two-dimensional images --- lattice structures and magnetic states --- binomial and Poisson distribution functions --- ion accelerators at WERC --- irradiation effects on space electronics --- single event --- total ionization dose --- displacement damage --- solar cell --- space application --- irradiation test --- beam condition --- degradation --- standardization --- ISO --- high-Tc superconductors --- critical current density --- flux pinning --- heavy-ion irradiation --- columnar defects --- anisotropy --- superconductor --- irradiation --- critical current --- cerium oxide --- CeO2 --- swift heavy ions --- phase transition --- partially stabilized zirconia --- XRD --- radiation simulation --- ion-track etching --- electrodeposition --- micro/nano-sized metal cones --- template synthesis --- electrocatalyst --- excited reaction field --- transmission electron microscope --- nanomaterials --- manipulation --- nanostructure --- Al --- Al2O3 --- accelerator-driven system (ADS) --- liquid metal corrosion (LMC) --- lead-bismuth eutectic (LBE) --- self-ion irradiation --- oxygen concentration in LBE --- irradiation effect on corrosion behavior --- electronic excitation --- lattice disordering --- electron-lattice coupling --- nanopore structure --- ceria --- molecular dynamics --- simulation --- structural analysis --- defects

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book consists of original and review papers which describe basic and applied studies for the modifications of metallic and inorganic materials by using energetic ion/electron beams. When materials are irradiated with energetic charged particles (ions /electrons), their energies are transferred to electrons and atoms in materials, and the lattice structures of the materials are largely changed to metastable or non-thermal-equilibrium states, modifying several physical properties. Such phenomena will engage the interest of researchers as a basic science, and can also be used as promising tools for adding new functionalities to existing materials and for the development of novel materials. The papers in this book cover the ion/electron-beam-induced modifications of several properties (optical, electronic, magnetic, mechanical, and chemical properties) and lattice structures. This book will, therefore, be useful for many scientists and engineers who have been involved in fundamental material science and the industrial applications of metallic and inorganic materials.

swift heavy ion --- YAG (Y3Al5O12) --- refractive index profiling --- synergy effect --- optical waveguide --- hillocks --- ion tracks --- ion irradiation --- TEM --- vanadium alloy --- irradiation hardening --- radiation damage --- electron irradiation --- metal surface --- sputtering --- groove --- hole --- self-organization --- pattern --- laser photocathode --- pulsed electron sources --- pulsed transmission electron microscope --- ion beam --- copper oxide --- chromatic change --- photoemission spectrum --- beam viewer --- light water reactor --- zirconium alloys --- nuclear fuel cladding --- thermal desorption spectroscopy --- transmission electron microscopy --- high energy irradiation --- ion track overlapping --- oxides --- Monte Carlo simulation for two-dimensional images --- lattice structures and magnetic states --- binomial and Poisson distribution functions --- ion accelerators at WERC --- irradiation effects on space electronics --- single event --- total ionization dose --- displacement damage --- solar cell --- space application --- irradiation test --- beam condition --- degradation --- standardization --- ISO --- high-Tc superconductors --- critical current density --- flux pinning --- heavy-ion irradiation --- columnar defects --- anisotropy --- superconductor --- irradiation --- critical current --- cerium oxide --- CeO2 --- swift heavy ions --- phase transition --- partially stabilized zirconia --- XRD --- radiation simulation --- ion-track etching --- electrodeposition --- micro/nano-sized metal cones --- template synthesis --- electrocatalyst --- excited reaction field --- transmission electron microscope --- nanomaterials --- manipulation --- nanostructure --- Al --- Al2O3 --- accelerator-driven system (ADS) --- liquid metal corrosion (LMC) --- lead–bismuth eutectic (LBE) --- self-ion irradiation --- oxygen concentration in LBE --- irradiation effect on corrosion behavior --- electronic excitation --- lattice disordering --- electron–lattice coupling --- nanopore structure --- ceria --- molecular dynamics --- simulation --- structural analysis --- defects --- n/a --- lead-bismuth eutectic (LBE) --- electron-lattice coupling