Results 81 to 90 of about 6,276,312 (365)
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev+3 more
wiley +1 more source
Abstract This study examines how European food companies can operationally leverage the value created by strategic alliances into commercially viable products. More importantly, it emphasizes that the effects of alliance portfolio diversity (APD) on radical innovation performance can be achieved not only directly, but also via moderating roles, that is,
María Ancín+2 more
wiley +1 more source
LCTL Teachers’ Assessment Knowledge and Practices: An Exploratory Study [PDF]
Language assessment allows teachers to gather information about student learning and adjust their instructional practices accordingly. When integrated with instruction, assessment can support student-centered teaching by helping instructors understand
Megan Montee+3 more
doaj
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi+2 more
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
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
Teaching Vocabulary: Lessons from the Corpus, Lessons for the Classroom
Book Review: MCCARTEN, J. Teaching Vocabulary: Lessons from the Corpus, Lessons for the Classroom. Cambridge: Cambridge University Press, 2007.
Raphael Marco Oliveira Carneiro
doaj +1 more source
A Constructive Mathematic approach for Natural Language formal grammars [PDF]
A mathematical description of natural language grammars has been proposed first by Leibniz. After the definition given by Frege of unsaturated expression and the foundation of a logical grammar by Husserl, the application of logic to treat natural ...
Benini, Dr Marco, Gobbo, Dr Federico
core
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci+4 more
wiley +1 more source
Development of Applied Linguistics
The aim of the article is to review the development of applied linguistics in Lithuania, analyse the general tendencies of the development of this science, and present the more prominent groups of researchers in applied linguistics, the schools that ...
Meilutė Ramonienė
doaj +1 more source