Publications by authors named "Xiangxu Yu"

Introduction: Early and accurate diagnosis of autism spectrum disorder (ASD) is crucial for effective intervention, yet it remains a significant challenge due to its complexity and variability. Micro-expressions are rapid, involuntary facial movements indicative of underlying emotional states. It is unknown whether micro-expression can serve as a valid bio-marker for ASD diagnosis.

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Article Synopsis
  • Diagnosing language disorders in autism is complicated due to the subjective and variable nature of traditional assessment methods, which often delay timely interventions.
  • This study investigates using ChatGPT, a powerful language model, to improve diagnostic accuracy and identify specific linguistic features related to autism, outperforming conventional models like BERT by over 13% in accuracy.
  • The research highlights ten distinct language disorder features associated with autism that vary in different contexts, suggesting that AI tools like ChatGPT could significantly enhance diagnostic precision and support personalized treatment plans in clinical environments.
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Unlabelled: Peucedani Radix is the dry root of of the umbelliferous family, but the dry root of was also the source of Peucedani Radix in the past. As one of the most popular traditional Chinese medicinal herbs, the certified source of Peucedani Radix is still disputed. To better understand the relationship between and , we sequenced their chloroplast (cp) genomes.

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Because of the increasing ease of video capture, many millions of consumers create and upload large volumes of User-Generated-Content (UGC) videos to social and streaming media sites over the Internet. UGC videos are commonly captured by naive users having limited skills and imperfect techniques, and tend to be afflicted by mixtures of highly diverse in-capture distortions. These UGC videos are then often uploaded for sharing onto cloud servers, where they are further compressed for storage and transmission.

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In a typical communication pipeline, images undergo a series of processing steps that can cause visual distortions before being viewed. Given a high quality reference image, a reference (R) image quality assessment (IQA) algorithm can be applied after compression or transmission. However, the assumption of a high quality reference image is often not fulfilled in practice, thus contributing to less accurate quality predictions when using stand-alone R IQA models.

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