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Quantitative Framework for Astrobiology Strategies and in situ Biogenic Assessments

open access: yesFrontiers in Astronomy and Space Sciences, 2022
In July 2020, NASA’s Perseverance (Mars 2020) mission was launched. The rover sent to the surface of Mars will not only perform in situ analyses, but will also collect rock and regolith samples that will be returned to Earth by future missions for ...
Julie Hartz, Simon C. George
doaj   +1 more source

A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments [PDF]

open access: yes, 2011
Effective connectivity analysis provides an understanding of the functional organization of the brain by studying how activated regions influence one other.
Bhattacharya, Sourabh, Maitra, Ranjan
core   +4 more sources

Uncertainty in mass-balance estimates of regional irrigation-induced return flows and pollutant loads to a river

open access: yesJournal of Hydrology: Regional Studies, 2018
Study region: Arkansas River in Colorado, east of the Rocky Mountains. Study focus: Nonpoint source (NPS) flows and solute loads from irrigated lands can markedly shape the water environment.
Timothy K. Gates   +2 more
doaj   +1 more source

Using Small Area Estimation to Produce Official Statistics

open access: yesStats, 2022
The USDA National Agricultural Statistics Service (NASS) and other federal statistical agencies have used probability-based surveys as the foundation for official statistics for over half a century.
Linda J. Young, Lu Chen
doaj   +1 more source

A theoretical framework for the pricing of contingent claims in the presence of model uncertainty

open access: yes, 2006
The aim of this work is to evaluate the cheapest superreplication price of a general (possibly path-dependent) European contingent claim in a context where the model is uncertain.
Denis, Laurent, Martini, Claude
core   +1 more source

Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making [PDF]

open access: yesProc. ACM Hum. Comput. Interact.
Appropriate reliance is critical to achieving synergistic human-AI collaboration. For instance, when users over-rely on AI assistance, their human-AI team performance is bounded by the model's capability.
Shiye Cao, Anqi Liu, Chien-Ming Huang
semanticscholar   +1 more source

Eliciting opinions of experts using uncertainty

open access: yesLietuvos Matematikos Rinkinys, 2015
Multiple criteria decision-making (MCDM) methods designed for evaluation of attractiveness of available alternatives, whenever used in decision-aid systems, imply active participation of experts.
Valentinas Podvezko, Askoldas Podviezko
doaj   +1 more source

Demand uncertainty In modelling WDS: scaling laws and scenario generation [PDF]

open access: yes, 2016
Water distribution systems (WDS) are critical infrastructures that should be designed to work properly in different conditions. The design and management of WDS should take into account the uncertain nature of some system parameters affecting the overall
Capannolo, Francesca   +3 more
core   +1 more source

Random G-expectations

open access: yes, 2013
We construct a time-consistent sublinear expectation in the setting of volatility uncertainty. This mapping extends Peng's G-expectation by allowing the range of the volatility uncertainty to be stochastic.
Nutz, Marcel
core   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

open access: yesMolecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla   +10 more
wiley   +1 more source

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