Longitudinal analysis of hippocampal subfield atrophy and network centrality associated with cognitive decline in Alzheimer's disease progression. [PDF]
Lim S, Lee Y.
europepmc +1 more source
ABSTRACT Generative artificial intelligence (GenAI) has emerged as a transformative force across business and society due to its ability to generate new content. This potential to reshape businesses introduces challenges and opportunities, necessitating a deeper understanding of GenAI's impact.
Symone G. S. Alcalá +3 more
wiley +1 more source
Typology of Public-Private Partnerships in Integrated Care: Evidence from a Municipality in Seoul, Korea. [PDF]
Kim IH, Kim CS, Kim B, Joo DH.
europepmc +1 more source
Assessing Capability Complexity Using Enterprise Architecture Framework
ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2)
Javad Bakhshi, Mahmoud Efatmaneshnik
wiley +1 more source
Joint channel estimation and feedback with masked token transformers in massive MIMO systems. [PDF]
Yin M, Zhao M, Liu L, Liu L.
europepmc +1 more source
Information entropy and relative entropy models for analyzing structural robustness in airway networks. [PDF]
Zhao K, Li Y, Ren G, Zhang Z.
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Robust broadband adaptive beamforming for planar arrays with tunable nulls in high-dynamic scenario. [PDF]
Hao F +6 more
europepmc +1 more source
Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso
ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). However, CSP‐based features often exhibit high redundancy and intersubject variability.
Yadi Wang +4 more
wiley +1 more source
Zeros of Planar Ising Models via Flat SU(2) Connections. [PDF]
Lis M.
europepmc +1 more source

