Results 101 to 110 of about 103,776 (269)
ABSTRACT This study analyzes the effects of value co‐creation and creation of shared value in agricultural input marketing. This study used a sample of 178 agricultural companies in Costa Rica. The data were analyzed using partial least squares structural equation modeling (PLS‐SEM) with SMART PLS software. Our findings reveal the significant influence
Luis Ricardo Solís‐Rivera +1 more
wiley +1 more source
A Rule-based Operational Semantics of Graph Query Languages [PDF]
Dominique Duval +2 more
openalex +1 more source
We systematically reviewed conversion therapy for esophageal squamous cell carcinoma and propose a response‐based treatment strategy for cT4b and M1 disease. For cT4b, we emphasize definitive chemoradiotherapy with timed re‐evaluation and selective salvage or chemoselection to surgery; for M1, conversion is reserved for limited‐burden responders with ...
Eisuke Booka, Hiroya Takeuchi
wiley +1 more source
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Typical Examples of Atoment Language Using
Atoment is a domain-specific language of executable specifications, used to describe methods and techniques of program verification. In this paper a collection of typical examples of the use of the Atoment language, covering topics such as program models,
I. S. Anureev
doaj
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Defeasible logic programming: language definition, operational semantics, and parallelism
This thesis defines Defeasible Logic Programming and provides a concrete specification of this new language through its operational semantics. Defeasible Logic Programming, or DeLP for short, has been defined based on the Logic Programming paradigm and ...
Alejandro Javier García
doaj
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source

