Results 1 to 10 of about 128,069 (147)
Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish. [PDF]
Int J Mol Sci, 2019 Small fish are an excellent experimental model to screen endocrine-disrupting compounds, but current fish-based assays to detect endocrine disruption have not been standardized yet, meaning that there is not consensus on endpoints and biomarkers to be measured.
Jarque S +4 more
europepmc +4 more sources
Disruption of Cerebellar Prediction in Verbal Working Memory [PDF]
Frontiers in Human Neuroscience, 2019 Mounting evidence suggests that the right cerebellum contributes to verbal working memory, but the functional role of this contribution remains unclear. In an established theory of motor control, the cerebellum is thought to predict sensory consequences ...
Yi-Shin Sheu, Yu Liang, John E. Desmond
doaj +3 more sources
Big data analytics and anomaly prediction in the cold chain to supply chain resilience [PDF]
FME Transactions, 2021 The purpose of the research was to develop a prediction method to prevent disruption related to temperature anomaly in the cold chain supply. The analysed data covers the period of the entire working cycle of the thermal container.
Lorenc Augustyn +2 more
doaj +1 more source
Nuclear Fusion, 2023 The ability to identify underlying disruption precursors is key to disruption avoidance. In this paper, we present an integrated deep learning (DL) based model that combines disruption prediction with the identification of several disruption precursors ...
J.X. Zhu +6 more
doaj +1 more source
TMS Over V5 Disrupts Motion Prediction [PDF]
Cerebral Cortex, 2013 Given the vast amount of sensory information the brain has to deal with, predicting some of this information based on the current context is a resource-efficient strategy. The framework of predictive coding states that higher-level brain areas generate a predictive model to be communicated via feedback connections to early sensory areas.
Vetter, Petra +2 more
openaire +5 more sources
Cerebellar rTMS disrupts predictive language processing [PDF]
Current Biology, 2012 The human cerebellum plays an important role in language, amongst other cognitive and motor functions [1], but a unifying theoretical framework about cerebellar language function is lacking. In an established model of motor control, the cerebellum is seen as a predictive machine, making short-term estimations about the outcome of motor commands.
Lesage, E. +4 more
openaire +3 more sources
IDP-PGFE: an interpretable disruption predictor based on physics-guided feature extraction
Nuclear Fusion, 2023 Disruption prediction has made rapid progress in recent years, especially in machine learning (ML)-based methods. If a disruption prediction model can be interpreted, it can tell why certain samples are classified as disruption precursors. This allows us
C. Shen +12 more
doaj +1 more source
Performance Comparison of Machine Learning Disruption Predictors at JET
Applied Sciences, 2023 Reliable disruption prediction (DP) and disruption mitigation systems are considered unavoidable during international thermonuclear experimental reactor (ITER) operations and in the view of the next fusion reactors such as the DEMOnstration Power Plant ...
Enrico Aymerich +8 more
doaj +1 more source
Maternal Characteristics Predicting Young Girls' Disruptive Behavior [PDF]
Journal of Clinical Child & Adolescent Psychology, 2011 Little is known about the relative predictive utility of maternal characteristics and parenting skills on the development of girls' disruptive behavior. The current study used five waves of parent- and child-report data from the ongoing Pittsburgh Girls Study to examine these relationships in a sample of 1,942 girls from age 7 to 12 years. Multivariate
Molen, E. van der +3 more
openaire +5 more sources
Nuclear Fusion, 2023 Plasma disruption is a very dangerous event for future tokamaks and fusion reactors. Therefore, predicting disruption is crucial for ensuring the safety and performance of reactors.
B.H. Guo +10 more
doaj +1 more source