Results 81 to 90 of about 245 (160)
BERT Model with Fuzzy Logic Optimization on Multivariate Sentiment Analysis Tasks
With the development of natural language processing techniques, sentiment analysis techniques are constantly updated. However, most of the sentiment analysis techniques are limited to handling binary sentiment analysis and perform poorly on multivariate sentiment analysis tasks. This paper explores the optimization in the field of sentiment analysis by
openaire +1 more source
ABSTRACT According to the functional ensemble of temperament (FET) model, individual differences in temperament arise from the balance of neurotransmitter systems also crucial for regulating circadian rhythms and sleep, suggesting a strong neurobiological link between temperament and sleep behavior.
Stefano Lasaponara +6 more
wiley +1 more source
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor +4 more
wiley +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
ABSTRACT Objectives Patients with major depressive disorder (MDD) frequently report burdensome interpersonal difficulties and altered empathy and perspective‐taking. Previous findings on binary comparisons between patients and healthy controls are limited in their clinical translation as they neglect dissociable risk and disease states.
Dahna Choi +24 more
wiley +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil +14 more
wiley +1 more source
Tip‐enhanced Raman spectroscopy (TERS) reveals nanoscale chemical and structural heterogeneity during tau K18 fibrillization. Our results show that TERS allows us to distinguish early K18 and full‐length tau fibrils, directly visualize secondary nucleation, and uncover stage‐specific roles of amino acids—histidine in early aggregation and nucleation ...
Marta Urbańska +3 more
wiley +1 more source
Rethinking tau‐targeted therapy in Alzheimer's disease: Toward a dual biomarker strategy
Abstract Tau pathology is more closely associated with cognitive deterioration than amyloid burden in symptomatic Alzheimer's disease (AD), yet tau‐targeted trials have often interpreted decreases in soluble phosphorylated tau (p‐tau) as evidence of therapeutic success. Emerging data argue for a more biology‐informed framework.
Charlotte E. Teunissen +2 more
wiley +1 more source

