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The field of Brain–Computer Interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of faster and more reliable assistive technologies based on direct links between the brain and an external device. Novel applications of BCIs have also been proposed, especially in the area of human augmentation, i.e., enabling people to go beyond human limitations in sensory, cognitive and motor tasks. Brain-imaging techniques, such as electroencephalography, have been used to extract neural correlates of various brain processes and transform them, via machine learning, into commands for external devices. Brain stimulation technology has allowed to trigger the activation of specific brain areas to enhance the cognitive processes associated to the task at hand, hence improving performance. BCIs have therefore extended their scope from assistive technologies for people with disabilities to neuro-tools for human enhancement. This Special Issue aims at showing the recent advances in BCIs for human augmentation, highlighting new results on both traditional and novel applications. These include, but are not limited to, control of external devices, communication, cognitive enhancement, decision making and entertainment.

n/a --- SIFT --- brain-computer interfaces --- P300 --- brain–computer interfaces --- complete locked-in state --- Brain–Computer Interface (BCI) --- electroencephalography (EEG) --- SHCC --- speller --- SSVEP --- human performance --- superintelligence --- MI --- communication --- electroencephalography --- 20-questions-game --- MP --- indoor room temperature --- office-work tasks --- augmented cognition --- heuristic search --- performance prediction --- p300 --- Graphical User Interface (GUI) --- hybrid --- Artificial Neural Network --- PE --- brain computer interface --- waveform --- Neuroergonomics. --- Brain-computer interfaces. --- Self-help devices for people with disabilities.. --- Assistive technology --- Self-help devices for the disabled --- People with disabilities --- BCIs (Brain-computer interfaces) --- Brain-machine interfaces --- Computer-brain interfaces --- Direct neural interfaces --- User interfaces (Computer systems) --- Cognitive neuroscience --- Human engineering --- Brain-Computer Interface (BCI)

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This volume provides unique views of combustion from many technical and international research perspectives.

hydrate ignition --- lean flames --- Atkinson cycle --- heavy metals --- iso-octane --- quantitative reaction pathway diagrams --- watery flames --- CeO2 doping --- hydrogen yield --- climate change --- mitigation --- computational fluid dynamics --- solid fuel --- cleaner combustion --- GRI-Mech 3.0 --- steam methane reformer --- emission characteristics --- flue gas mercury removal --- chemical analysis --- combustion --- Lewis number --- powder coke --- methane --- hydrate flame spectrum --- oxidizer ratio --- fluidized bed --- swirling burner --- CFD --- methane clathrate --- fuel rich/lean combustion --- general correlations --- control system efficiency --- MP-PIC method --- wall shear stress --- activated carbon sorbent --- density functional theory(DFT) calculations --- energy management --- self-similar spherical flame propagation --- bioethanol --- biofuel burner --- ultra-lean methane flame --- NO emissions --- tubular diffusion flame --- flaring angle --- methane–air combustion --- methane/air --- low load --- short stroke engine --- porous plate reactor --- combustion adjustment --- ecological fuels --- field study --- air-pollution control --- methane hydrate --- gas hydrate --- battery recycling --- hydrate combustion --- oxy-fuel combustion --- high-pressure turbulent burning velocity --- tube surface temperature --- PIV --- cooking stove

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This Systems Thinking Special Issue contains 12 papers on the nature of systems thinking as it applies to systems engineering, systems science, system dynamics, and related fields. Systems thinking can be broadly considered the activity of thinking applied in a systems context, forming a basis for fundamental approaches to several systems disciplines, including systems engineering, systems science, and system dynamics. Although these are somewhat distinct fields, they are bound by common approaches in regard to systems. Whereas systems engineering seeks to apply a multidisciplinary, holistic approach to the development of systems, systems science seeks to understand the basics related to systems of all kinds, from natural to man-made, and system dynamics seeks to understand system structures in order to influence its dynamics. Man-made systems have become more ubiquitous and complex. The study of systems, both natural and engineered, presents new challenges and opportunities to understand emergent, dynamic behaviors that inform the process of sense-making based on systems thinking.

systems philosophy --- heuristic systems principles --- scientific systems principles --- general systems principles --- specialized systems principles --- general systems theory --- GST --- sustainability --- systems thinking --- UN sustainable development goals --- mental models --- neoliberalism --- ecological economics --- isomorphic systems processes (ISPs) --- Monterey Phoenix (MP) --- behavior modeling --- emergent behavior --- cycles and cycling --- systems processes theory (SPT) --- family --- family system --- natural systems thinking --- Murray Bowen --- integrative theory --- competence --- maturity models --- worldview --- Worldview Inquiry Framework --- General Inquiry Framework --- system thinking --- systems approach --- capacity for systems thinking --- Myers Briggs Type Indicator (MBTI) personality type test --- concept map --- termbase --- systems perspective --- ontology of systems --- frontier research --- shadow IT --- IT integration --- IT integration drawbacks --- application integration --- path dependency --- path biography --- switching costs --- education for sustainable development --- teacher education --- systems education --- soft systems methodology (SSM) --- bibliometrics --- academic impact of SSM --- data visualization --- systems engineering --- healthcare system design --- clinical models --- socio-technical system --- model-based systems engineering

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This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

n/a --- Stackelberg game --- MILP --- optimal congestion threshold --- magnetic field mitigation --- simulation --- multi-objective particle swarm optimization --- virtual power plant --- internal defect --- day-ahead load forecasting --- neural network --- modular predictor --- multi-objective particle swarm optimization algorithm --- stochastic optimization --- dragonfly algorithm --- unit commitment --- metaheuristic --- multi-population method (MP) --- optimization --- tabu search --- considerable decomposition --- loss minimization --- active distribution system --- islanded microgrid --- dynamic solving framework --- feature selection --- electric energy costs --- power factor compensation --- dependability --- interactive load --- overhead --- energy internet --- evolutionary computation --- wind power --- developed grew wolf optimizer --- underground --- ETAP --- fuzzy algorithm --- electric vehicles --- Schwarz’s equation --- evolutionary algorithms --- electric power contracts --- congestion management --- optimizing-scenarios method --- building energy management system --- particle encoding method --- ringdown detection --- HOMER software --- DC optimal power flow --- prosumer --- constrained parameter estimation --- distributed generations (DGs) --- strong track filter (STF) --- transient stability --- calibration --- cost minimization --- radiance --- decentralized and collaborative optimization --- hybrid renewable energy system --- renewable energy sources --- rural electrification --- distribution network reconfiguration --- interval variables --- optimization methods --- particle swarm optimization --- hierarchical scheduling --- micro grid --- AC/DC hybrid active distribution --- consensus --- artificial bee colony --- CCHP system --- data center --- support vector machine --- affinity propagation clustering --- extended Kalman filter --- affine arithmetic --- linear discriminant analysis (LDA) --- current margins --- heterogeneous networks --- Cameroon --- hybrid method --- distributed heat-electricity energy management --- discrete wind driven optimization --- fitness function --- cross-entropy --- GenOpt --- wind energy --- demand uncertainty --- UC --- off-design performance --- genetic algorithm --- energy storage --- the biomimetic membrane computing --- power system optimization --- electric vehicle --- power architectures --- economic load dispatch problem (ELD) --- runner-root algorithm (RRA) --- Cable joint --- battery energy storage system --- load curtailment --- integration assessment --- power system unit commitment --- artificial lighting --- power flow --- hybrid membrane computing --- two-point estimation method --- low-voltage networks --- demand bidding --- non-sinusoidal circuits --- energy flow model --- power transfer distribution factors --- sustainability --- HVAC system --- voltage deviation --- street light points --- radial basis function --- energy storage system --- charging/discharging --- power systems --- intelligent scatter search --- MV/LV substation --- optimal power flow --- stochastic state estimation --- eight searching sub-regions --- chaos optimization algorithm (COA) --- mutual information theory --- inter-turn shorted-circuit fault (ISCF) --- C&I particle swarm optimization --- multiobjective optimization --- passive shielding --- sub-Saharan Africa --- micro-phasor measurement unit --- geometric algebra --- bio-inspired algorithms --- adaptive consensus algorithm --- energy management --- PCS efficiency --- multi-stakeholders --- generalized generation distribution factors --- the genetic algorithm based P system --- JAYA algorithm --- thermal probability density --- power optimization --- pumped-hydro energy storage --- smart grid --- two-stage feature selection --- piecewise linear techniques --- photovoltaic --- SOCP relaxations --- switched reluctance machine (SRM) --- optimal reactive power dispatch --- optimal operation --- controllable response --- off-grid --- active shielding --- transformer-fault diagnosis --- IEEE Std. 80-2000 --- principal component analysis --- demand response --- Schwarz's equation

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