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Uncertainty reduction

Uncertainty reduction for successful intercultural interaction in Dadaab Refugee Camp

Uncertainty reduction for successful intercultural interaction in Dadaab Refugee Camp

... reduce uncertainty and in the extent to which they can tolerate ambiguity and therefore in the means, they select to adapt to the ...of uncertainty reduction theory (Guererio & Afifi, ...

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Is Uncertainty Reduction the Basis for Perception? Errors in Norwich’s Entropy Theory of Perception Imply Otherwise

Is Uncertainty Reduction the Basis for Perception? Errors in Norwich’s Entropy Theory of Perception Imply Otherwise

... of reduction of uncertainty, achieved through ...uncertainty reduction. In the Norwichian approach, humans exist in uncertainty about their surroundings; the uncertainty is ...

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Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs.

Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs.

... The present study focussed on three reservoir parameters which are porosity, fluid saturation and permeability selected based on literature and sensitivity analysis using Monte Carlo simulations on net present value, ...

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Meaning Making, Uncertainty Reduction, and Autobiographical Memory: A Replication and Reinterpretation of the TALE Questionnaire

Meaning Making, Uncertainty Reduction, and Autobiographical Memory: A Replication and Reinterpretation of the TALE Questionnaire

... patterns even if they don’t exist (Heine et al., 2006), ward of the perception of the unexpected (McGregor, 2006), and seek constancy in their environment (Bruner & Postman, 1949). Simply put, humans are driven to ...

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Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm

Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm

... of uncertainty reduction in machine learning methods such as co-training and bilingual boot- strapping, which are referred to, in a gen- eral term, as ‘collaborative ...that uncertainty re- duction ...

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Uncertainty Reduction in Hydrologic Modeling and Regional Water Management Utilizing Inter-basin Transfer.

Uncertainty Reduction in Hydrologic Modeling and Regional Water Management Utilizing Inter-basin Transfer.

... parameter uncertainty reduction techniques, efforts to reduce uncertainties in the input, initial condition and model structure were explored in the early 1980s [Young and Beck, 1974; Kitanidis and Bras, ...

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Networks, uncertainty reduction and strategic decision making in social movement fields

Networks, uncertainty reduction and strategic decision making in social movement fields

... Organisational efforts to bring about social change are riddled with choices. What is the appropriate course of action? Who best to collaborate with? How should finite resources, economic or otherwise, be spent? In this ...

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Complexity, uncertainty reduction strategies and project performance

Complexity, uncertainty reduction strategies and project performance

... First, we assumed the intrinsic-representational distinction to imply that planners see complexity aspects either as intrinsic in the ‘world out there’ or as resulting from imperfections in their own representations. ...

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Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote sensing data

Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote sensing data

... parameter uncertainty and sensitivity has been one of the main themes of scientific discussions over the last 30 ...parameter uncertainty is inevitable and that an optimal set of parameters rarely exists ...

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Lidar arc scan uncertainty reduction through scanning geometry optimization

Lidar arc scan uncertainty reduction through scanning geometry optimization

... the uncertainty in wind speed esti- mated from arc scans with different scanning geometries at different sites, and the predicted relationship between RSE and turbulence intensity is also consistent with the ...

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Systematic Uncertainty Reduction Strategies for Developing Streamflow Forecasts Utilizing Multiple Climate Models and Hydrologic Models.

Systematic Uncertainty Reduction Strategies for Developing Streamflow Forecasts Utilizing Multiple Climate Models and Hydrologic Models.

... the uncertainty in the streamflow forecasts using a hydrological ...input uncertainty first by combining climate models and then use the multimodel climate forecasts with multiple watershed models (2) ...

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Uncertainty Reduction of Metering System in Kharg Island Oil Terminal by Adjusting Pipe Line Volume Flow rate

Uncertainty Reduction of Metering System in Kharg Island Oil Terminal by Adjusting Pipe Line Volume Flow rate

... big uncertainty at the metering point, as crude oil flows through the pipeline pick up the solar radiation and heat ...higher uncertainty to be ...the uncertainty in the measurement system due to ...

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Uncertainty Reduction as a Measure of Cognitive Processing Effort

Uncertainty Reduction as a Measure of Cognitive Processing Effort

... One recent model (Frank, 2010) shows that the reading-time effects of both surprisal and entropy reduction can indeed result from a single pro- cessing mechanism. The model simulates sen- tence comprehension as ...

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The Uncertainty Reduction for the Refined Sample Mean of Combined Quantities

The Uncertainty Reduction for the Refined Sample Mean of Combined Quantities

... standard uncertainty Q2MMSE-CLT ...standard uncertainty, the MSE curves converge to locations deviated away from the bad sample mean and toward the directions of population ...standard uncertainty to ...

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China's great migration: the impact of the reduction in trade policy uncertainty

China's great migration: the impact of the reduction in trade policy uncertainty

... policy uncertainty on the migration rates of unskilled and skilled workers, ...of uncertainty reduction for both skill groups (NTR gap) while in columns (3)-(4) we construct a skill-specific measure ...

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Uncertainty in measurement

Uncertainty in measurement

... In uncertainty evaluation, circumstances arise where discretionary decisions of human specialists are ...an uncertainty evaluation is purposely carried out to quantify how much trust there is in a ...

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Revisiting the Derivation of Heisenberg's Uncertainty Principle: The Collapse of Uncertainty at the Planck Scale

Revisiting the Derivation of Heisenberg's Uncertainty Principle: The Collapse of Uncertainty at the Planck Scale

... Our modified theory indicates that renormalization is no longer needed. Further, Bell’s Inequality no longer holds, as the breakdown of Heisenberg’s uncertainty principle at the Planck scale opens up the ...

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Lost at the Edge of Uncertainty: Measuring Player Uncertainty in Digital Games

Lost at the Edge of Uncertainty: Measuring Player Uncertainty in Digital Games

... The reliability of each factor was calculated using the more robust ω statistic rather than the usual Cronbach α (Dunn et al., 2014) but the interpretation of ω is the same as that of α. Traditional guidelines, for ...

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Revisiting the Derivation of Heisenberg's Uncertainty Principle: The Collapse of Uncertainty at the Planck Scale

Revisiting the Derivation of Heisenberg's Uncertainty Principle: The Collapse of Uncertainty at the Planck Scale

... For many years, researchers in the field have questioned if the energy time uncertainty principle is valid, as it has been assumed that one cannot have a time operator. Here we have suggested a new perspective on ...

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Uncertainty Weight Generation Approach Based on Uncertainty Comparison Matrices

Uncertainty Weight Generation Approach Based on Uncertainty Comparison Matrices

... Uncertainty theory, proposed by Liu [9] in 2007 and refined by Liu [10] in 2010, provides a new approach to deal with non-deterministic factors. Nowadays, based on normality, self-duality, countable subadditivity, ...

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