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http://dx.doi.org/10.1093/rheumatology/keac649 | DOI Listing |
Cleft Palate Craniofac J
January 2025
Sleep Medicine, Stanford University, Stanford, CA, USA.
It's interesting to note that despite clinical improvements in upper airway dimensions, the maxillary, mandibular, and mandibular body lengths remained smaller than those of controls. This finding may represent an underlying neurocristopathy, which represents a deficiency in the population of neural crest cells available in the embryonic maxillary and mandibular processes de novo. Indeed, it is known that craniofacial dimensions in infants with malformations, such as cleft palate, are often smaller when compared to non-cleft counterparts.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
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.
AJR Am J Roentgenol
January 2025
Associate Professor, Department of Radiology, The Ohio State University Wexner Medical Center, Room 460, 395 W 12th Ave, Columbus, OH 43210.
World J Hepatol
January 2025
Department of Medicine, Aga Khan University Hospital, Karachi 74800, Pakistan.
Due to sedentary lifestyle and rising prevalence of obesity, patients with general population and those who are infected with chronic hepatitis B are found to have metabolic dysfunction associated steatotic liver disease (MASLD). Both chronic hepatitis B virus (HBV) infection and MASLD can damage hepatocytes in their own way, but concomitant HBV-MASLD has its own clinical implications. Cherry on top is the presence of diabetes mellitus, hypertension or obesity which added more chances of unfavorable outcomes in these patients.
View Article and Find Full Text PDFSci 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.
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