Results 101 to 110 of about 9,795,875 (280)

The Effects of AI-Powered Chatbots vs. Synchronous CMC on Oral Proficiency and Self-Efficacy in Under-Resourced TESOL [PDF]

Issues in Language Teaching
Regardless of the current buzz, there is still a great deal to uncover when it comes to the promises of artificial intelligence (AI) in language instruction, especially in under-resourced contexts.
Mohammad Mahdi Hajmalek, Negin Etedal
doaj   +1 more source

Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus, Devin L. Brown, Bernadette Boden‐Albala   +2 more
wiley   +1 more source

Domain Adaptation in Sequence Labelling: A Case Study for Two South African Languages

Northern European Journal of Language Technology
In this paper, we investigate domain adaptation for Part-of-speech (POS) tagging of two under-resourced South African languages, isiZulu and Sesotho sa Leboa, by studying its effect on the POS tagging results and how to possibly predict what quality can
Tanja Gaustad, Roald Eiselen
doaj   +1 more source

An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages

Proceedings of the Language Resources and Evaluation Conference, 2018
In this paper, we present Watasense, an unsupervised system for word sense disambiguation. Given a sentence, the system chooses the most relevant sense of each input word with respect to the semantic similarity between the given sentence and the synset constituting the sense of the target word. Watasense has two modes of operation. The sparse mode uses
Ustalov, Dmitry, Teslenko, Denis, Panchenko, Alexander, Chernoskutov, Mikhail, Biemann, Chris, Ponzetto, Simone Paolo   +5 more
openaire   +5 more sources

Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias, Federica Avantaggiato, Gianni Pezzoli, Andrea Canessa   +3 more
wiley   +1 more source

Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models

Applied Sciences
The advancing fluency of large language models (LLMs) raises important questions about their ability to emulate complex human traits, including emotional expression and personality, across diverse linguistic and cultural contexts. This study investigates
Nasser A. Alsadhan
doaj   +1 more source

Automatic Documentation of Faetar’s [i]: A Methodology for Discovering Vowel Space Using Artificial Neural Networks

Géolinguistique, 2018
Consider a huge, untagged speech corpus from a language without a written tradition. How can we quickly and accurately measure vowel space, without expending large amounts of labour and funds?
Lyndon Rey, Naomi Nagy
doaj   +1 more source

The Price of Precision: A Critical Review of Molecular Diagnostics in Glioma, From Guidelines to Global Disparities

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley   +1 more source

Evaluation of Dried Plasma Spot‐Based Quantification of Glial Fibrillary Acidic Protein as a Disease‐Associated Biomarker in Neuromyelitis Optica Spectrum Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab, Evelyn Alvarez, Roua Hamdi, Bingqing Zhang, Hayeun Ji, Niyati Jhaveri, Patrick Schindler, Pedro Sanchez, Pia S. Sperber, Tanja Schmitz‐Hübsch, Frederike C. Oertel, Nisa Vorasoot, Najib Kissani, Falko Böhringer, Jens Kuhle, Anne‐Katrin Pröbstel, Xiao‐Jun Ma, Péter Körtvelyessy, Patrick Waters, Friedemann Paul   +19 more
wiley   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source