ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Risky-choice framing effects persist when option descriptions are matched and complete: A replication and extension of DeKay and Dou (2024). [PDF]
DeKay ML.
europepmc +1 more source
An Empirical Investigation Into Deep and Shallow Rule Learning. [PDF]
Beck F, Fürnkranz J.
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Aging with AI companionship: the role of artificial intelligence in enhancing the mental wellbeing of older adults. [PDF]
Wang Y, Tang H, Zhang J, Wang Y, Liu X.
europepmc +1 more source
Configurations of the driving factors promoting China's commercial health insurance: A comparative qualitative analysis based on the technology-organization-environment framework. [PDF]
Huang X +5 more
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Einstein aggregation operators for multicriteria group decision making in uncertain environments using cubic picture fuzzy sets. [PDF]
Tanoli MNK +5 more
europepmc +1 more source
Fuzzy implications based on quasi-copula and fuzzy negations
G. Souliotis +2 more
openaire +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source

