Results 71 to 80 of about 5,402,025 (273)
The objective of this research to figure out the difficulties faced by the students in constructing correct english complex sentences. based on the questionnaires, the most difficulties were caused by the material itself.
Danial Syahrir
core
Against a Davidsonian analysis of copula sentences [PDF]
Semantic research over the past three decades has provided impressive confirmation of Donald Davidsons famous claim that “there is a lot of language we can make systematic sense of if we suppose events exist” (Davidson 1980:137).
Maienborn, Claudia
core
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +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
Lexically specific knowledge and individual differences in adult native speakers’ processing of the English passive [PDF]
This article provides experimental evidence for the role of lexically specific representations in the processing of passive sentences and considerable education-related differences in comprehension of the passive construction.
Dabrowska, Ewa, Street, James
core +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
An investigation of theories of focusing [PDF]
This thesis investigates the proposals of a number of psychological and computational accounts of focusing and pronoun interpretation in view of obtaining experimental evidence for the questions raised by the accounts.
Pearson, Jamie
core
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
To address the multifaceted imbalance in diabetic keratopathy, a light‐responsive biomimetic platform (WCNx‐Rh2) is developed and integrates glucose degradation, immune modulation, and antibacterial defense through a designed heterojunction and screened immunomodulator. WCNx‐Rh2 reduces AGEs/ROS and inflammatory signaling, reprogramming dendritic cells
Mengzhen Zhao +8 more
wiley +1 more source
Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr +6 more
wiley +1 more source

