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Journal of Experimental Psychology: General, ISSN 0096-3445, 2018, Volume 148, Issue 10, pp. 1665 - 1674
Cognition in action requires strategic allocation of attention between internal processes and the sensory environment. We hypothesized that this resource... 
Cognition | Working memory | Motor | Attention | Prediction | motor | VISUAL-SEARCH | AUDITORY DISTRACTION | cognition | UNATTENDED SPEECH | SELF | SHORT-TERM-MEMORY | PSYCHOLOGY, EXPERIMENTAL | PERCEPTION | SENSORY ATTENUATION | ORIENTING ATTENTION | DISRUPTION | working memory | prediction | attention | WORKING-MEMORY
Journal Article
IEEE Transactions on Parallel and Distributed Systems, ISSN 1045-9219, 01/2012, Volume 23, Issue 1, pp. 19 - 31
Journal Article
Nuclear Fusion, ISSN 0029-5515, 01/2017, Volume 57, Issue 1, p. 16024
Understanding the many aspects of tokamak physics requires the development of quite sophisticated models. Moreover, in the operation of the devices, prediction... 
conditional entropy | sawteeth | prediction factor | disruptions | predictability | ELMs | PHYSICS, FLUIDS & PLASMAS
Journal Article
IEEE Internet of Things Journal, ISSN 2327-4662, 06/2017, Volume 4, Issue 3, pp. 636 - 644
Journal Article
Journal Article
Science of the Total Environment, ISSN 0048-9697, 01/2018, Volume 610-611, pp. 1103 - 1112
In this study, the estrogenicity of two major wastewater treatment plant (WWTP) effluents located in the central reaches of the Grand River watershed in... 
Endocrine disruption | Model | Water treatment | Wastewater | Estrogenicity | Effluent | ENDOCRINE-DISRUPTING CHEMICALS | REPRODUCTIVE DISRUPTION | SEWAGE-TREATMENT PLANTS | INFLUENT | ACTIVATED-SLUDGE | RIVER | FATE | INTERSEX | ENVIRONMENTAL SCIENCES | IN-VITRO | FISH | Strategic planning (Business) | Sewage | Purification | Analysis | Estrogen
Journal Article
Journal Article
Fusion Engineering and Design, ISSN 0920-3796, 10/2015, Volume 96-97, pp. 698 - 702
In large-scale tokamaks disruptions have the potential to create serious damage to the facility. Hence disruptions must be avoided, but, when a disruption is... 
Disruption prediction | Nuclear fusion | Logistic regressor | Mahalanobis distance | NUCLEAR SCIENCE & TECHNOLOGY | Availability | Design engineering | Upgrading | Machine learning | Disruption | Assessments | Temporal logic | Logistics
Journal Article
Environmental Health Perspectives, ISSN 0091-6765, 6/2005, Volume 113, Issue 6, pp. 721 - 728
Existing environmental risk assessment procedures are limited in their ability to evaluate the combined effects of chemical mixtures. We investigated the... 
Chemical hazards | Minnows | Estrogens | Chemical mixtures | Environmental health | Water samples | Inductive reasoning | Research | Fishing lines | Chemicals | Environmental hazards | Mixture effects | Estrogen mimic | Concentration addition | Estrogen | Prediction | Fathead minnow | Pimephales promeals | JOINT ALGAL TOXICITY | ENVIRONMENTAL SCIENCES | STW EFFLUENT | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | VIBRIO-FISCHERI | SEXUAL DISRUPTION | MINNOW PIMEPHALES-PROMELAS | LONG-TERM EXPOSURE | IDENTIFICATION | ENVIRONMENTAL ESTROGENS | ACUTE LETHAL | CYPRINID FISH | Benzhydryl Compounds | Phenols - toxicity | Male | Estrogens - toxicity | Forecasting | Drug Synergism | Ethinyl Estradiol - toxicity | Animals | Estradiol - toxicity | Water Pollutants, Chemical - toxicity | Estrogens, Non-Steroidal - toxicity | Female | Vitellogenins - blood | Fresh Water | Cyprinidae | Vitellogenins - biosynthesis | concentration addition | fathead minnow | estrogen | prediction | Pimephales promelas | estrogen mimic | mixture effects | toxicity | Estradiol | NATURAL SCIENCES | NATURVETENSKAP | biosynthesis | Biochemistry and Molecular Biology | Pharmacology and Toxicology | Environmental Sciences | Biological Sciences | Miljövetenskap | Non-Steroidal | Ecology | Ethinyl Estradiol | blood | Chemical | Biokemi och molekylärbiologi | Biologiska vetenskaper | Phenols | Farmakologi och toxikologi | Vitellogenins | Water Pollutants | Ekologi
Journal Article
Fusion Engineering and Design, ISSN 0920-3796, 09/2019, Volume 146, pp. 2393 - 2396
The implementation of Machine Learning techniques can help to develop accurate disruption predictors. However, they may provide outcomes difficult to... 
Disruption prediction | JET | Linear equation | Machine learning | Analysis | Algorithms
Journal Article
NUCLEAR FUSION, ISSN 0029-5515, 08/2019, Volume 59, Issue 8, p. 86037
For many years, machine learning tools have proved to be very powerful disruption predictors in tokamaks. On the other hand, the vast majority of the... 
de-learning | machine learning predictors | obsolescence | ensembles of classifiers | disruptions | adaptive training | PHYSICS, FLUIDS & PLASMAS | JET
Journal Article
Fusion Engineering and Design, ISSN 0920-3796, 09/2019, Volume 146, pp. 967 - 971
The design study of DEMO is one of the main points of the European Roadmap to Fusion Electricity. The present pre-conceptual design phase of DEMO is used to... 
Electromagnetic modelling | Vertical stabilization | DEMO | Disruption simulations
Journal Article
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, ISSN 1422-0067, 04/2019, Volume 20, Issue 7, p. 1739
Small fish are an excellent experimental model to screen endocrine-disrupting compounds, but current fish-based assays to detect endocrine disruption have not... 
DANIO-RERIO | ESTROGENIC POTENCIES | androgens | ENVIRONMENTAL-POLLUTANTS | VITELLOGENIN INDUCTION | THYROID-HORMONE | BIOCHEMISTRY & MOLECULAR BIOLOGY | estrogens | CHEMISTRY, MULTIDISCIPLINARY | endocrine disruption | IN-VITRO | ANDROGEN 17-ALPHA-METHYLTESTOSTERONE | thyroid | MESSENGER-RNA | transcriptomics | BISPHENOL-A | zebrafish | SEXUAL DEVELOPMENT
Journal Article
Advances in Mechanical Engineering, ISSN 1687-8132, 3/2019, Volume 11, Issue 3, p. 168781401983817
In real production manufacturing process, there are many disturbances (e.g. machine fault, shortage of materials, tool damage) which can greatly interfere the... 
naive Bayes | scheduling | decision tree | Data mining | disturbances prediction | MINIMIZE MAKESPAN | SEARCH | ALGORITHM | ENGINEERING, MECHANICAL | DISRUPTION | THERMODYNAMICS | BIG DATA | OPTIMIZATION | RULES | Schedules | Job shop scheduling | Data acquisition | Decision making | Modules | Scheduling | Production scheduling | Workload | Algorithms | Disturbances | Job shops | Manufacturing | Radio frequency identification
Journal Article