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Prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma through ultrasound elastography.
World J Gastroenterol
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Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou 310014, Zhejiang Province, China.
In this article, we comment on the article by Cheng published in recently. Posthepatectomy liver failure (PHLF) remains a leading cause of hepatectomy-related mortality and can be evaluated according to liver reserve function. Liver stiffness (LS) measured by ultrasonic elastography and spleen area demonstrate a strong correlation with hepatic proliferation, fibrosis, and portal vein congestion, thus indirectly reflecting liver reserve function.
View Article and Find Full Text PDFAspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network.
Sci Rep
January 2025
Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, 100081, China.
Aspect Category Sentiment Analysis (ACSA) is a fine-grained sentiment analysis task aimed at predicting the sentiment polarity associated with aspect categories within a sentence.Most existing ACSA methods are based on a given aspect category to locate sentiment words related to it. When irrelevant sentiment words have semantic meaning for the given aspect category, it may cause the problem that sentiment words cannot be matched with aspect categories.
View Article and Find Full Text PDFThe people's game: evolutionary perspectives on the behavioural neuroscience of football fandom.
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Health Service Executive, Portlaoise, Ireland.
Association football (soccer) is the world's most popular sport. Transculturally, fans invest significant resources following their teams, suggesting underlying psychological universals with evolutionary origins. Although evolutionary science can help illuminate the ultimate causes of human behaviour, there have been limited modern evolutionary perspectives on football fandom.
View Article and Find Full Text PDFRetraction Note: Comment on, "Survival prediction of glioblastoma patients-are we there yet? A systematic review of prognostic modeling for glioblastoma and its clinical potential".
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Lab in Biotechnology and Biosignal Transduction, Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai-77, Tamil Nadu, India.
Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study.
J Med Internet Res
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Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan.
Background: Health misinformation undermines responses to health crises, with social media amplifying the issue. Although organizations work to correct misinformation, challenges persist due to reasons such as the difficulty of effectively sharing corrections and information being overwhelming. At the same time, social media offers valuable interactive data, enabling researchers to analyze user engagement with health misinformation corrections and refine content design strategies.
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