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http://dx.doi.org/10.3390/ijms21093185 | DOI Listing |
J Orthop Translat
November 2024
Department of Orthopedics, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, PR China.
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi
January 2025
To investigate the occurrence and managements of poor recovery after total endoscopic middle ear surgery. A total of 302 cases(315 ears) who underwent endoscopic middle ear surgery in our hospital from June 2020 to June 2021 were collected. Follow up by means of endoscopy, pure tone hearing threshold, tympanogram was conducted at 1 month, 3 months, 6 months and 1 year after surgery to analyze the incidence, possible causes, treatment strategies and effects of poor results tympanic membrane healing and hearing recovery.
View Article and Find Full Text PDFLin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi
January 2025
To explore the value of high resolution computed tomography(HRCT) combined with Magnetic Resonance Imaging(MRI) in the diagnosis of inner ear malformation. HRCT and MRI data of 82 patients with inner ear malformations were analyzed retrospectively. HRCT MPR and CPR reconstruction of the inner ear structure, facial nerve canal and oblique sagittal MRI reconstruction of the internal auditory canal were performed.
View Article and Find Full Text PDFAm J Ophthalmol
December 2024
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China. Electronic address:
Purpose: To investigate the ability to quantify fundus curvature and detect posterior staphyloma using widefield optical coherence tomography (OCT).
Design: Cross-sectional diagnostic evaluation.
Subjects And Participants: 205 highly myopic eyes of 205 participants.
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
College of Artificial Intelligence, Nankai University, Tianjin 300350, China.
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classification models for MPs-contaminated chicken feeds was explored. 80 chicken feed samples with non-contaminated and 240 MPs-contaminated chicken feed samples including polypropylene (PP), polyvinyl chloride (PVC), and polyethylene terephthalate (PET) were prepared, and the NIR diffuse reflectance spectra of all the samples were collected.
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