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BackgroundCancer patients often face concurrent challenges of cancer-related cognitive impairment (CRCI) and opportunities for post-traumatic growth (PTG), but existing research primarily adopts a variable-centered appro...

The article talks about the increasing importance of the practical use of fuzzy differential equations in modeling complex problems in various fields, such as science and engineering, as these differential equations allo...

The object of research is the problem of rational distribution of limited resources between subsystems of a complex system that function independently. The relevance of the work is determined by the fundamental features ...

Interpretable data classifiers play a significant role in providing transparency in the decision-making process by ensuring accountability and auditability, enhancing model understanding, and extracting new information t...

The article examines artistic careers in 1950s Romania as the result of the interaction between ideological constraint, the institutional reorganization of the visual arts field, and individual strategies of professional...

Abstract Background Fall risk perception (FRP) plays a crucial role in preventing secondary falls in elderly patients undergoing hip fracture surgery. Different patient groups may perceive environmental fall risk differe...

Abstract Purpose To design a coach-interpretable movement quality score for badminton footwork training using an adaptive neuro-fuzzy inference system. Methodology We derived compact biomechanical descriptors of timing, ...

Abstract Ginkgo biloba is a valuable timber tree species, particularly suitable for high-end furniture manufacturing. Understanding the variations in its wood properties and their relationship with environmental factors ...

Political representation and democracy in several European countries have faced considerable challenges in recent decades. Especially worrying are the decline in electoral turnout and party membership, along with the dec...

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...

This paper contributes to the debate on entrepreneurial parties with the empirical example of the Czech ANO party. The authors focus on selected aspects of the internal organisation and functioning of the party, emphasis...

Identification of specific genetic markers that determine interbreed differences and “selection signatures” in commercial pig breeds will allow for the development of more effective strategies for targeted breeding a...

In previous works, we proposed two methods for data clustering based on automatically discovered fuzzy predicates which were referred to as SOM-based Fuzzy Predicate Clustering (SFPC) [Meschino et al., Neurocomputing, 14...

Background: Along with the development of sociolinguistic studies and language education, the orientation of research and learning practices is shifting from a monolingual approach to a more inclusive multilingual framew...

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The...

In this Ph. D thesis, the main significant contributions are: formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in...

Este trabajo consta de tres partes, que en principio parecen ser bastante diferentes, pero tienen como hilo conductor la toma de decisiones que debe realizar una persona, un grupo de personas, un equipo, etc. Cada una ...

Currently, Mathematical Morphology (MM) has become a powerful tool in Digital Image Processing (DIP). It allows processing images to enhance fuzzy areas, segment objects, detect edges and analyze structures. The techniqu...

A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of ...

BACKGROUND: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns a...