Results 111 to 120 of about 83,863 (257)
ABSTRACT The transition to a circular economy (CE) has become a strategic priority for firms, yet empirical assessments of corporate circularity remain fragmented and heavily dependent on structured indicators or self‐reported metrics. This paper proposes a novel, text‐based circularity index derived from mandatory non‐financial statements of large ...
Giuseppe Pernagallo +2 more
wiley +1 more source
Amplitude Versus Angle (AVA) feature restoration in prestack gathers via dictionary learning. [PDF]
Gao Y +5 more
europepmc +1 more source
Bridging Academic Research and Business Practices at the Crossroad of Circular Economy and the SDGs
ABSTRACT The global shift toward sustainability has amplified interest in the Circular Economy, which aims to optimize resource use and minimize waste. In parallel, the Sustainable Development Goals (SDGs) provide a universal framework for addressing social, environmental, and economic challenges.
Corentin Juin, Andrea Nicolodi
wiley +1 more source
Clinical evaluation of free-breathing cardiac multi-parametric mapping using dictionary-based motion correction. [PDF]
Zhao T +8 more
europepmc +1 more source
The Bulletin of the Ecological Society of America, EarlyView.
Holly Andres +4 more
wiley +1 more source
Pulmonalis or Pulmonaris? It's Elementarius, My Dear Watson
ABSTRACT The adjectival suffix ‐alis and its allomorph ‐aris are very common in the anatomical nomenclature; however, rules governing differential usage, such as ‐aris substituting for ‐alis following an ‐l‐, leave many exceptions. Here, we report an empirical study of 985 adjectives with ‐alis and ‐aris suffixes used in Terminologia Anatomica (2nd ed.)
Paul E. Neumann +3 more
wiley +1 more source
A deep dictionary clustering approach for unsupervised image retrieval using convolutional sparse coding. [PDF]
Sucharitha G +6 more
europepmc +1 more source
Decoding Emotional Signatures of Ethical Ads: An Analysis of Actor‐Viewer Synchrony
ABSTRACT We examine whether ethical advertisements differ from conventional ads in their on‐screen emotional signatures and whether those signatures transfer to actor‐viewer synchrony. Study 1 analyses 138 professionally produced YouTube ads using Automated Facial Expression Recognition (AFER) and Convolutional Neural Networks (CNN) to quantify actor ...
Vik Naidoo, Nicolas Hamelin
wiley +1 more source
Multi-Frequency GPR Image Fusion Based on Convolutional Sparse Representation to Enhance Road Detection. [PDF]
Fang L, Yang F, Fang Y, Nie J.
europepmc +1 more source
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee +3 more
wiley +1 more source

