Results 121 to 130 of about 55,944 (272)
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Revisiting speech act theory in German linguistics: a systematic review of methodological approaches
Speech act theory continues to offer essential insights into how language functions as action, yet in the context of German linguistics its methodological treatment has often been fragmented.
Nurbek Zokirjon O’G’Li Axmadjonov +1 more
doaj +1 more source
USE OF COHESIVE FEATURES IN ESL STUDENTS’ E-MAIL AND WORD-PROCESSED TEXTS: A COMPARATIVE STUDY [PDF]
As the computer is rapidly finding its way into classrooms around the world at all levels of education,teachers are trying to find effective ways to integrate this technology into their curriculum.
Zaglom, Khairi Alarbi
core
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source
A Corpus-Assisted Critical Discourse Analysis of the 2024 Pakistani Election Manifestos
Manifestos are important for the public, as they convey the perspectives and unique preferences of politicians. The present study aims to investigate how Pakistani politicians use election manifestos as manipulative tools to control the public ...
Iqra Jabeen, Salma Kalim
doaj
Abstract Mobile technologies have become significant resources for crisis communication and social support in recent years. However, despite empirical evidence pointing to the centrality of these technologies for parenthood in everyday life, it is yet unknown how parents' coping resources play a role in the digital environment.
Daphna Yeshua‐Katz +2 more
wiley +1 more source
Abstract If sexual assault survivors report the assault to the criminal legal system, they often need informal support from family and friends throughout the long and frequently retraumatizing process of investigation and prosecution. This study is part of a long‐term community‐based participatory action research project in a predominately Black ...
Rebecca Campbell +4 more
wiley +1 more source
In recent years, the fifth-generation wireless technology (henceforth 5G) has emerged and gradually occupied an essential position in the development plans of some countries around the globe. The Chinese telecom company Huawei is a prominent participant in this sector and receives much media attention.
openaire +1 more source
Genetic and Phenotypic Features of the Five Known Polyaminopathies: A Critical Narrative Review
ABSTRACT Polyaminopathies are a recently described family of rare genetic neurodevelopmental disorders. Polyaminopathies disrupt the biosynthesis of the primary polyamines: putrescine, spermidine, and spermine. Snyder–Robinson syndrome results from hemizygous loss‐of‐function variants in the spermine synthase (SMS) gene, resulting in decreased or ...
Elizabeth A. VanSickle +26 more
wiley +1 more source

