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Related publications (30)

Blocking probability of large wood and resulting head increase at ogee crest spillways

Paloma Furlan

Large wood increases the hydraulic complexity of rivers, yet it may block and modify the flood discharge capacity of hydraulic structures such as bridges and spillways. When spillway blockage occurs, dangerous and hazardous situations have been observed at ...

EPFL2019

Stochastic vs. sensitivity-based integral parameter and nuclear data adjustments

Andreas Pautz, Daniel Jerôme Siefman, Mathieu Hursin, Dimitri Rochman

Developments in data assimilation theory allow to adjust integral parameters and cross sections with stochastic sampling. This work investigates how two stochastic methods, MOCABA and BMC, perform relative to a sensitivity-based methodology called GLLS. St ...

SPRINGER HEIDELBERG2018

Gray-matter-specific MR imaging improves the detection of epileptogenic zones in focal cortical dysplasia: A new sequence called fluid and white matter suppression (FLAWS)

Tobias Kober, Xin Chen, Thomas Yu, Nan Chen

Objectives: To evaluate the diagnostic value and characteristic features of FCD epileptogenic zones using a novel sequence called fluid and white matter suppression (FLAWS). ...

ELSEVIER SCI LTD2018

Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis

José del Rocio Millán Ruiz, Gangadhar Garipelli

Brain‐computer interfaces (BCIs) can provide sensory feedback of ongoing brain oscillations, enabling stroke survivors to modulate their sensorimotor rhythms purposefully. A number of recent clinical studies indicate that repeated use of such BCIs might tr ...

2018

Size control of self-organized gold nanoparticles on nanopatterned single crystal diamond

Olivier Martin, Niels Quack, Christian Santschi, Sichen Mi, Marcell Kristof Kiss

Surface patterning using plasmonic nanoparticles has attracted increasing interest owing to their wide use in sensing, imaging and medical applications. In this report we demonstrate bottom-up engineering of size distribution of gold nanoparticles (AuNPs) ...

IEEE2018

Electroencephalogram (EEG) Frontal Asymmetry and Error-Related Signals Are Potential Markers of Internalizing and Externalizing Behaviors in Children: A Meta-Analysis

Michael Herzog, Ophélie Gladys Favrod

Objectives: The frontal hemispheric asymmetry and error-related components, as measured by EEG, are often considered to be biological correlates or “indicators of risk” for psychopathology. Here, we performed a meta-analysis to define specific patterns of ...

2017

Insiders and Outsiders: Comparing Urban Impressions between Population Groups

Daniel Gatica-Perez, Darshan Santani

There is a growing interest in social and urban computing to employ crowdsourcing as means to gather impressions of urban perception for indoor and outdoor environments. Previous studies have established that reliable estimates of urban perception can be o ...

ACM2017

Two sides of the same coin: A population genetics perspective on lethal mutagenesis and mutational meltdown

Jeffrey David Jensen, Claudia Bank, Sebastian Matuszewski, Nicky Louise Ormond

The extinction of RNA virus populations upon application of a mutagenic drug is frequently referred to as evidence for the existence of an error threshold, above which the population cannot sustain the mutational load. To explain the extinction process aft ...

Oxford Univ Press2017

Random field-based modeling of size effect on the longitudinal tensile strength of clear timber

Thomas Keller, Anastasios Vassilopoulos, Alireza Farajzadeh Moshtaghin, Steffen Franke

In the current study, a random field-based size effect model has been proposed for the longitudinal tensile strength of clear timber. Since the failure mode is brittle, the problem is basically an extreme value problem of finding the distribution of minima ...

Elsevier2016

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Stephan Morgenthaler

We study bias arising as a result of nonlinear transformations of random variables in random or mixed effects models and its effect on inference in group-level studies or in meta-analysis. The findings are illustrated on the example of overdispersed binomi ...

Wiley-Blackwell2016

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