Results 31 to 40 of about 877 (253)
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
An Investigation into the Incorporation in Persian based on Distributed Morphology [PDF]
This study investigates the nature and structure of Persian incorporation within the framework of Distributed Morphology (DM) as a fully synthetic approach that considers morphology as syntax.
Gelareh Nazari +2 more
doaj +1 more source
Abstract This study investigates the translation of lexical bundles (LBs) in simultaneous interpreting, focusing on the relationship between their discourse functions and observed correspondence patterns. We analyzed a corpus of speeches delivered by Chinese delegates at the United Nations Security Council and their ...
Yi Liu, Dechao Li
openaire +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Research on formulaic language in L2 writing has demonstrated that the use of lexical bundles is crucial to disciplinary discourse and development and that bundle use varies across proficiency levels and tasks.
Sara Aljohani
doaj +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang +4 more
wiley +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Discoursal Analysis Of Lexical Bundles In Political Speeches
This study investigates a new category of word combination referred to as lexical bundles. Lexical bundles has been defined by Biber et. al. (1999) as " sequences of three or more words that show a statistical tendency to co-occur" (Ibid:183). The study aims at exploring the functions of lexical bundles in political speeches, finding out the types of ...
Abbas Deygan Darweesh, Anfal Adnan Ali
openaire +2 more sources

