Results 271 to 280 of about 81,862 (314)

Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Timely detection of problematic research is essential for safeguarding scientific integrity. To explore whether social media commentary can serve as an early indicator of potentially problematic articles, this study analyzed 3815 tweets referencing 604 retracted articles and 3373 tweets referencing 668 comparable non‐retracted articles. Tweets
Er‐Te Zheng, Hui‐Zhen Fu, Mike Thelwall, Zhichao Fang   +3 more
wiley   +1 more source

AI-powered epidemic control: Deepseek's role in global health resilience. [PDF]

J Transl Med
Jiang H, Wu M, Yu J, Xiao Y, Yin C.
europepmc   +1 more source

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

Applied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco, Mirco Musolesi, Jason O'Sullivan, Rosie Prior, Ioanna Manolopoulou   +4 more
wiley   +1 more source

Reconstructing impaired language using generative AI for people with aphasia. [PDF]

Sci Rep
Adikari A, Alahakoon D, Pallewela N, Pierce JE, Hernandez NJ, Rose ML.   +5 more
europepmc   +1 more source

The Conceptualization, Experience, and Recognition of Emotion in Autism: Differences in the Psychological Mechanisms Involved in Autistic and Non‐Autistic Emotion Recognition

Autism Research, EarlyView.
ABSTRACT Existing literature suggests that differences between autistic and non‐autistic people in emotion recognition might be related to differences in how these groups experience emotions themselves. Specifically, autistic individuals may show differences in the consistency of emotional experiences, the ability to distinguish between emotions, and ...
Connor Tom Keating, Carmen Kraaijkamp, Jennifer Louise Cook   +2 more
wiley   +1 more source

Lancaster sliced regressive keyword extraction based semantic analytics on social media documents

C Sharada, Tejasvi Ravi, S Panneer Arokiara   +2 more
openalex   +2 more sources

Large language model-driven knowledge graph reasoning for enhanced semantic segmentation. [PDF]

Sci Rep
Su J, Zhang X, Luo Y, Chen Y, Li J, Chen S, Xu H.   +6 more
europepmc   +1 more source

Bilingualism Enhances Metalinguistic Awareness in Autism: Extending the Two‐Dimensional Grammaticality Judgment Task

Autism Research, EarlyView.
ABSTRACT Bilingualism has been associated with enhanced metalinguistic awareness (MA), the ability to reflect upon language. However, findings remain mixed, and little is known about how proficiency in the most proficient (L1) and second‐best language (L2) contribute to MA, especially in children with autism spectrum disorder (ASD), who often present ...
Pauline Wolfer, Franziska Baumeister, Stephanie Durrleman   +2 more
wiley   +1 more source

Sensor-Based Cyber Risk Management in Railway Infrastructure Under the NIS2 Directive. [PDF]

Sensors (Basel)
Wachnik R, Chruzik K, Pochopień B.
europepmc   +1 more source

Generative Deep Learning for Advanced Battery Materials

Batteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal, Adrian Cierpka, Britta Nestler, Arnd Koeppe   +3 more
wiley   +1 more source