HEProOE: A hyperedge enhanced probabilistic optimal estimation method for detecting spatial fuzzy communities. [PDF]
He X, Tang Z, Liu B, Duan J, Deng M.
europepmc +1 more source
AI + Drawing Enhances the Efficiency of Human Anatomy Education
ABSTRACT Human anatomy is a fundamental core course in medical education, and its teaching effectiveness directly influences students' understanding and application of medical knowledge. However, traditional anatomy instruction often faces challenges such as limited teaching resources and the high cognitive difficulty students experience.
Fangfang Zhou +3 more
wiley +1 more source
Prioritization of hospital resilience indicators for disaster preparedness: a fuzzy Delphi-AHP approach in Iranian public hospitals. [PDF]
Nakhaeipour M +4 more
europepmc +1 more source
From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion
ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley +1 more source
On metrics for subpopulation detection in single-cell and spatial omics data. [PDF]
Luo S +3 more
europepmc +1 more source
Spatially resolved 23Na magnetic resonance dispersion measurement in porous media
Quantitative 23Na MRI was employed to analyze dispersion in realistic core plug samples and was compared with the conventional breakthrough curve. 23Na MRI provided a more effective aassessment of core plug heterogeneity than the conventional method. Abstract Tracer tests are widely used in the petroleum industry to assess reservoir core plugs, relying
Rheya Rajeev +5 more
wiley +1 more source
A hybrid machine learning and explainable AI framework for optimizing risk-based authentication. [PDF]
Sasikumar K, Nagarajan S.
europepmc +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Smart Irrigation with Fuzzy Decision Support Systems in Trentino Vineyards. [PDF]
Silvestri R +3 more
europepmc +1 more source
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source

