Participants (N = 487) read or listened to a health text and then completed a questionnaire evaluating perceived difficulty of the text measured using a 5-point Likert scale and actual difficulty ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

Objective: This study aims to analyze the specific content and structural characteristics of rehabilitation nursing-related policies in China from 2007 to 2024, utilizing the perspective of policy ...

ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.

Plagiarism in academic and creative writing continues to be a significant challenge, driven by the exponential growth of digital content. This paper presents a systematic survey of various types of ...

Computational methods are transforming research practice across the disciplines. For social scientists these methods offer a number of valuable opportunities, including creating new datasets from ...

MELBOURNE, Australia — A heckler interrupted Alexander Zverev’s Australian Open final speech, appearing to make reference to the allegations of domestic abuse levied against him by two of his former ...

A systematic review analyzing document classification methods using the 20 Newsgroups bydate dataset. This research evaluates machine learning and deep learning approaches across eight key domains, ...

Abstract: Sentiment analysis, as a critical technology for understanding and interpreting massive textual information, has been widely applied in public opinion monitoring and decision support for ...

Abstract: With the rapid development of Internet technology, the statistical analysis of online recruitment information attracts more and more people's attention. Online recruitment information is ...