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1. Full Text Sensory Prediction Errors Drive Cerebellum-Dependent Adaptation of Reaching
by Ya-weng Tseng and Jörn Diedrichsen and John W. Krakauer and Reza Shadmehr and Amy J. Bastian
Journal of Neurophysiology, ISSN 0022-3077, 07/2007, Volume 98, Issue 1, pp. 54 - 62
The cerebellum is an essential part of the neural network involved in adapting goal-directed arm movements. This adaptation might rely on two distinct signals:... 
PRIMARY MOTOR CORTEX | WALKING | PHYSIOLOGY | DISRUPTION | HYPOTHESIS | DYNAMICS | ARM MOVEMENTS | FORCE-FIELD | INTERNAL-MODELS | ADAPTIVE-CONTROL | NEUROSCIENCES | DEGENERATION | Predictive Value of Tests | Visual Perception - physiology | Humans | Middle Aged | Adaptation, Physiological - physiology | Male | Cerebellum - physiopathology | Feedback - physiology | Psychomotor Performance - physiology | Case-Control Studies | Cerebellar Ataxia - physiopathology | Movement - physiology | Analysis of Variance | Adult | Female | Aged | Task Performance and Analysis
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2. Full Text Monitoring Prediction Errors Facilitates Cognition in Action
by Plass, John and Choi, Simon and Suzuki, Satoru and Grabowecky, Marcia
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
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3. Full Text An Efficient Prediction-Based Routing in Disruption-Tolerant Networks
by Quan Yuan and Cardei, I and Jie Wu
IEEE Transactions on Parallel and Distributed Systems, ISSN 1045-9219, 01/2012, Volume 23, Issue 1, pp. 19 - 31
Routing is one of the most challenging, open problems in disruption-tolerant networks (DTNs) because of the short-lived wireless connectivity environment. To... 
Disruption-tolerant networks (DTNs) | time-related Markov model | Predictive models | prediction | Routing | Ad hoc networks | Routing protocols | landmarks | History | Relays | routing | COMPUTER SCIENCE, THEORY & METHODS | ENGINEERING, ELECTRICAL & ELECTRONIC | Information networks | Usage | Innovations | Markov processes | Computer networks | Distribution (Probability theory) | Mathematical optimization | Studies
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4. Full Text Determining the prediction limits of models and classifiers with applications for disruption prediction in JET
by Murari, A and Peluso, E and Vega, J and Gelfusa, M and Lungaroni, M and Gaudio, P and Martínez, F.J and JET Contributors
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
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5. Full Text Survey on Prediction Algorithms in Smart Homes
by Shaoen Wu and Rendall, Jacob B and Smith, Matthew J and Shangyu Zhu and Junhong Xu and Honggang Wang and Qing Yang and Pinle Qin
IEEE Internet of Things Journal, ISSN 2327-4662, 06/2017, Volume 4, Issue 3, pp. 636 - 644
The world has entered into a "smart" era. One area becoming smart is the place where we live-homes. Smart homes are expected to be equipped with numerous... 
prediction methods | Hidden Markov models | Smart homes | Predictive models | Markov processes | Prediction algorithms | Internet of Things | Intelligent systems | Intelligent sensors | smart homes | COMPUTER SCIENCE, INFORMATION SYSTEMS | TELECOMMUNICATIONS | HIDDEN MARKOV-MODELS | ENGINEERING, ELECTRICAL & ELECTRONIC | Smart buildings | Smart houses | Algorithms | Disruption | Sensors | Intelligence
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6. Full Text How adverse outcome pathways can aid the development and use of computational prediction models for regulatory toxicology
by Wittwehr, Clemens and Aladjov, Hristo and Ankley, Gerald and Byrne, Hugh J and de Knecht, Joop and Heinzle, Elmar and Klambauer, Günter and Landesmann, Brigitte and Luijten, Mirjam and MacKay, Cameron and Maxwell, Gavin and Meek, M.E. Bette and Paini, Alicia and Perkins, Edward and Sobanski, Tomasz and Villeneuve, Dan and Waters, Katrina M and Whelan, Maurice and Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Toxicological Sciences, ISSN 1096-6080, 02/2017, Volume 155, Issue 2, pp. 326 - 336
Efforts are underway to transform regulatory toxicology and chemical safety assessment from a largely empirical science based on direct observation of apical... 
AOP | Computational prediction model | Quantitative AOP | Adverse outcome pathways | computational prediction model | quantitative AOP | Adverse Outcome Pathways | SKIN SENSITIZATION | ESTROGEN-RECEPTOR | CHEMICALS | PITUITARY-GONADAL AXIS | THYROID-HORMONE DISRUPTION | SPECIES TRANSLATION CHALLENGE | SCIENTIFIC CONFIDENCE | TOXICOLOGY | RISK-ASSESSMENT | COLLABORATIVE COMPETITION | POLYCHLORINATED-BIPHENYLS | Animals | Adverse Outcome Pathways - standards | Toxicity Tests | Computer Simulation | Humans | Toxicology - standards | Index Medicus | 60 APPLIED LIFE SCIENCES | AOPs, Computational Models, and Regulatory Toxicity | Forum
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7. Full Text Multi-year prediction of estrogenicity in municipal wastewater effluents
by Arlos, Maricor J and Parker, Wayne J and Bicudo, José R and Law, Pam and Marjan, Patricija and Andrews, Susan A and Servos, Mark R
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
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8. Full Text Prediction of overall survival through circadian rest‐activity monitoring during chemotherapy for metastatic colorectal cancer
by Innominato, Pasquale F and Giacchetti, Sylvie and Bjarnason, Georg A and Focan, Christian and Garufi, Carlo and Coudert, Bruno and Iacobelli, Stefano and Tampellini, Marco and Durando, Xavier and Mormont, Marie‐Christine and Waterhouse, Jim and Lévi, Francis A
International Journal of Cancer, ISSN 0020-7136, 12/2012, Volume 131, Issue 11, pp. 2684 - 2692
The clinical relevance of circadian rhythm modifications in patients on chemotherapy is unknown. Even so, circadian parameter I < O before chemotherapy... 
chronotherapy | circadian | colorectal cancer | actimetry | rest‐activity rhythm | rest-activity rhythm | CYTOKINES | FATIGUE | SEX | SYMPTOMS | MECHANISMS | ENTRAINMENT | DISRUPTION | ONCOLOGY | QUALITY-OF-LIFE | RHYTHM | Leucovorin - administration & dosage | Prognosis | Prospective Studies | Humans | Middle Aged | Male | Survival Rate | Treatment Outcome | Rest - physiology | Monitoring, Physiologic | Organoplatinum Compounds - administration & dosage | Fluorouracil - administration & dosage | Antineoplastic Combined Chemotherapy Protocols - therapeutic use | Colorectal Neoplasms - drug therapy | Adult | Female | Aged | Colorectal Neoplasms - pathology | Circadian Rhythm - drug effects | Longitudinal Studies | Clocks and watches | Medical colleges | Chemotherapy | Neurosciences | Patient outcomes | Colorectal cancer | Leucovorin | Metastasis | Wrist watches | Cancer | Fluorouracil | Circadian rhythm | Mortality | Index Medicus
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9. Full Text Hemorrhagic transformation of ischemic stroke: Prediction with CT perfusion
by Aviv, Richard I and D'Esterre, Christopher D and Murphy, Blake D and Hopyan, Julia J and Buck, Brian and Mallia, Gabriella and Li, Vivian and Zhang, Liying and Symons, Sean P and Lee, Ting-Yim
Radiology, ISSN 0033-8419, 03/2009, Volume 250, Issue 3, pp. 867 - 877
Purpose: To determine whether admission computed tomography (CT) perfusion-derived permeability-surface area product (PS) maps differ between patients with... 
TISSUE-PLASMINOGEN ACTIVATOR | CEREBRAL-ARTERY OCCLUSION | INTRACEREBRAL HEMORRHAGE | BRAIN-BARRIER DISRUPTION | ACUTE HEMISPHERIC STROKE | INTRAARTERIAL THROMBOLYSIS | COOPERATIVE ACUTE STROKE | BLOOD-FLOW | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | COMPUTED-TOMOGRAPHY | MICROVASCULAR PERMEABILITY | Brain Ischemia - complications | Intracranial Hemorrhages - diagnostic imaging | Reproducibility of Results | Stroke - diagnostic imaging | Humans | Intracranial Hemorrhages - etiology | Stroke - complications | Tomography, X-Ray Computed - methods | Male | Cerebral Angiography - methods | Perfusion - methods | Sensitivity and Specificity | Female | Aged | Brain Ischemia - diagnostic imaging
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10. Full Text Improvements in disruption prediction at ASDEX Upgrade
by Aledda, R and Cannas, B and Fanni, A and Pau, A and Sias, G and ASDEX Upgrade Team
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
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11. Full Text Accurate Prediction of the Response of Freshwater Fish to a Mixture of Estrogenic Chemicals
by Jayne V. Brian and Catherine A. Harris and Martin Scholze and Thomas Backhaus and Petra Booy and Marja Lamoree and Giulio Pojana and Niels Jonkers and Tamsin Runnalls and Angela Bonfà and Antonio Marcomini and John P. Sumpter and Naturvetenskapliga fakulteten and Botaniska institutionen, fysiologisk botanik and Faculty of Sciences and Göteborgs universitet and Gothenburg University and Botanical Institute, Plant Physiology
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
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12. Full Text A rat α-fetoprotein binding activity prediction model to facilitate assessment of the endocrine disruption potential of environmental chemicals
by Hong, Huixiao and Shen, Jie and Ng, Hui Wen and Sakkiah, Sugunadevi and Ye, Hao and Ge, Weigong and Gong, Ping and Xiao, Wenming and Tong, Weida
International Journal of Environmental Research and Public Health, ISSN 1661-7827, 03/2016, Volume 13, Issue 4, pp. 372 - 1
Endocrine disruptors such as polychlorinated biphenyls (PCBs), diethylstilbestrol (DES) and dichlorodiphenyltrichloroethane (DDT) are agents that interfere... 
Binding | Assessment | Prediction | Model | Endocrine | α-fetoprotein | Disruption | ANDROGEN RECEPTOR | disruption | CYTOCHROME-P450 CYP3A4 | binding | EXPERT-SYSTEM | alpha-fetoprotein | DECISION FOREST | MOLECULAR DOCKING | STRUCTURE ELUCIDATION | ESTROGEN-RECEPTOR BINDING | assessment | ENVIRONMENTAL SCIENCES | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | prediction | MATERNAL SERUM | model | HIV-1 INTEGRASE INHIBITORS | DIVERSE CHEMICALS | endocrine | Animals | Models, Biological | Computer Simulation | Rats | Environmental Exposure | Environmental Pollutants - toxicity | Endocrine Disruptors - toxicity | alpha-Fetoproteins - metabolism
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13. Full Text A multidimensional linear model for disruption prediction in JET
by Rattá, G.A and Vega, J and Murari, A
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
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14. Full Text Adaptive learning for disruption prediction in non-stationary conditions
by Murari, A and Lungaroni, M and Gelfusa, M and Peluso, E and Vega, J and JET Contributors
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
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15. Full Text Optimization of DEMO geometry and disruption location prediction
by Maviglia, Francesco and Albanese, Raffaele and Ambrosino, Roberto and Bachmann, Christian and Federici, Gianfranco and Villone, Fabio
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
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16. Full Text Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish
by Jarque, S and Ibarra, J and Rubio-Brotons, M and Garcia-Fernandez, J and Terriente, J
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
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17. Full Text Data mining–based disturbances prediction for job shop scheduling
by Qiu, Yongtao and Sawhney, Rapinder and Zhang, Chaoyang and Chen, Shao and Zhang, Tao and Lisar, Vahid Ganji and Jiang, Kaibo and Ji, Weixi
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
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