Results 81 to 90 of about 5,204,108 (294)
Recent work in the area of Knowledge Representation and Reasoning has focused on modification and optimization of knowledge bases (KB) through the use of forgetting operators of the form forget(KB, (R) over bar), where (R) over bar is a set of relations ...
Andrzej Szałas +5 more
core +1 more source
A simple proof of distance bounds for Gaussian rough paths [PDF]
We derive explicit distance bounds for Stratonovich iterated integrals along two Gaussian processes (also known as signatures of Gaussian rough paths) based on the regularity assumption of their covariance functions.
Riedel, Sebastian, Xu, Weijun
core +1 more source
GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain +11 more
wiley +1 more source
Rough set methodology in meta-analysis - a comparative and exploratory analysis [PDF]
We study the applicability of the pattern recognition methodology "rough set data analysis" (RSDA) in the field of meta analysis. We give a summary of the mathematical and statistical background and then proceed to an application of the theory to a meta ...
Rupp, Thomas
core
BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley +1 more source
SOME PROPERTIES OF INDUCED COVER FROM FAMILY OF COVERING ROUGH SETS
Rough set theory is an efficient and essential tool for dealing with vagueness and granularity in information systems. Covering based rough set theory is proposed as a significant generalization of classical rough sets.
Nguyễn Đức Thuần
doaj +1 more source
Comparing Rough Set Theory with Multiple Regression Analysis as Automated Valuation Methodologies [PDF]
This paper focuses on the problem of applying rough set theory to mass appraisal. This methodology was first introduced by a Polish mathematician, and has been applied recently as an automated valuation methodology by the author.
Maurizio d’Amato
core
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
Energy Supplier Selection is vital for sustainable energy management. Optimal supplier choices reduce environmental impact and promote resource efficiency per green principles.
Amir Hussain +3 more
doaj +1 more source
An Axiomatic Approach to the Roughness Measure of Rough Sets [PDF]
In Pawlak's rough set theory, a set is approximated by a pair of lower and upper approximations. To measure numerically the roughness of an approximation, Pawlak introduced a quantitative measure of roughness by using the ratio of the cardinalities of the lower and upper approximations.
openaire +3 more sources

