Results 151 to 160 of about 964,661 (301)
Scenarios, probability and possible futures [PDF]
This paper provides an introduction to the mathematical theory of possibility, and examines how this tool can contribute to the analysis of far distant futures. The degree of mathematical possibility of a future is a number between O and 1. It quantifies
Minh Ha-Duong
core
On the comonotone natural extension of marginal p-boxes
International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2021) (12th. 2021.
Montes Gutiérrez, Ignacio
core
Reasoning with imprecise probabilities
Fábio Gagliardi Cozman, Serafín Moral
openaire +2 more sources
ABSTRACT The Laurentide Ice Sheet covered vast areas of North America during the Wisconsinan, including the Labrador Shelf, off the coast of eastern Canada. The shelf is characterized by glacial cross‐shelf troughs, which have been considered as predominantly eroded by the last ice advance.
Kai‐Frederik Lenz +9 more
wiley +1 more source
ABSTRACT The cardiovascular–kidney–metabolic (CKM) framework and metabolic dysfunction–associated steatotic liver disease (MASLD) describe a shared clinical continuum, but the prognostic value of joint fatty liver index (FLI)–NAFLD fibrosis score (NFS) phenotypes across CKM stages is uncertain.
Yi‐Fei Wang +5 more
wiley +1 more source
Estimating Land Degradation Level Using Remote Sensing Data and Fuzzy AHP Technique
ABSTRACT Land degradation is a critical global environmental concern that significantly impacts ecosystem services, agricultural productivity, weather patterns, human livelihoods and overall well‐being. Prompt and precise assessments of land degradation status are crucial for environmental governance and sustainable development. Remote sensing data can
Mohamed Mustafa Ali, Hamed Faroqi
wiley +1 more source
Imprecise Probabilities from Imprecise Descriptions of Real Numbers [PDF]
A prototype theory interpretation of the label semantics framework is proposed as a possible model of imprecise descriptions of real numbers. It is shown that within this framework conditioning given imprecise descriptions of a real variable naturally ...
Ines, Gonzalez +2 more
core
Quantum-like imprecise probabilities
Abstract The primary contribution of this work is the identification of the equivalence between imprecise probabilities and quantum probabilities, resulting in the development of the concept of probability waves.
openaire +1 more source
Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová +3 more
wiley +1 more source
Proteomic Signatures of Ectopic Fat Distribution: Tissue‐Specific Drivers and Clinical Implications
Integration of plasma proteomics and multi‐organ MRI in 666 UK Biobank participants, combined with a knockoff‐based causal inference and machine learning framework, reveals organ‐specific drivers of ectopic fat: PLA2G1B (pancreas), ERBB2/IGFBP2 (liver), CA14 (muscle), and NCAM2/TNFRSF10B (pericardium). These drivers engage distinct pathways (e.g., PI3K‐
Bing Zhang +9 more
wiley +1 more source

