Results 51 to 60 of about 2,707 (98)
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley +1 more source
ABSTRACT In the presence of competing events, many investigators are interested in a direct treatment effect on the event of interest that does not capture treatment effects on competing events. Classical survival analysis methods that treat competing events like censoring events, at best, target a controlled direct effect: the effect of the treatment ...
Takuya Kawahara +2 more
wiley +1 more source
Exact Algorithms for Solving Stochastic Games [PDF]
Shapley's discounted stochastic games, Everett's recursive games and Gillette's undiscounted stochastic games are classical models of game theory describing two-player zero-sum games of potentially infinite duration.
Hansen, Kristoffer Arnsfelt +4 more
core +1 more source
Assessing multifunctional mountain landscape in an Eastern European framework
The research introduces the Biocultural Resilience Index (BRI), a novel tool for assessing multifunctional landscape sustainability. By integrating biological, cultural, and socio‐economic indicators, the BRI identifies vulnerable areas and informs strategies for sustainable management.
Viorel Gligor +4 more
wiley +1 more source
ABSTRACT In this article, we propose a novel numerical framework for the non‐isothermal Cahn–Hilliard–Navier–Stokes two‐phase flow system, which couples the incompressible Navier–Stokes equations, the Cahn–Hilliard phase‐field equation, and the heat transport equation to capture temperature‐dependent two‐phase flow dynamics.
Guang‐An Zou +4 more
wiley +1 more source
Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar +5 more
wiley +1 more source
A New Thesis concerning Synchronised Parallel Computing - Simplified Parallel ASM Thesis
A behavioural theory consists of machine-independent postulates characterizing a particular class of algorithms or systems, an abstract machine model that provably satisfies these postulates, and a rigorous proof that any algorithm or system stipulated ...
Ferrarotti, Flavio +3 more
core +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Abstract We explore configurations of sufficient and necessary conditions for the evolution and resilience of borrower trust in their lenders. Because trust is a dynamic phenomenon that needs to be understood in terms of change over time, we rely on longitudinal data collected from managers of small‐ and medium‐sized enterprises (SME) who are clients ...
Andrea Moro +2 more
wiley +1 more source
Using groups for investigating rewrite systems
We describe several technical tools that prove to be efficient for investigating the rewrite systems associated with a family of algebraic laws, and might be useful for more general rewrite systems.
Dehornoy, Patrick
core +3 more sources

