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result(s) for
"Ma, Furong"
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Oceanic Eddy Identification Using an AI Scheme
by
Yang, Jingsong
,
Kong, Lingmei
,
Cheng, Cheng
in
Algorithms
,
Anomalies
,
Artificial intelligence
2019
Oceanic eddies play an important role in global energy and material transport, and contribute greatly to nutrient and phytoplankton distribution. Deep learning is employed to identify oceanic eddies from sea surface height anomalies data. In order to adapt to segmentation problems for multi-scale oceanic eddies, the pyramid scene parsing network (PSPNet), which is able to satisfy the fusion of semantics and details, is applied as the core algorithm in the eddy detection methods. The results of eddies identified from this artificial intelligence (AI) method are well compared with those from a traditional vector geometry-based (VG) method. More oceanic eddies are detected by the AI algorithm than the VG method, especially for small-scale eddies. Therefore, the present study demonstrates that the AI algorithm is applicable of oceanic eddy detection. It is one of the first few of efforts to bridge AI techniques and oceanography research.
Journal Article
Hearing loss prevalence and burden of disease in China: Findings from provincial-level analysis
2025
Abstract
Background:
Without timely and effective rehabilitation, hearing loss may profoundly affect human life quality. China has a large population of hearing-impaired individuals, which imposes a heavy health burden on society. Moreover, this population is projected to increase rapidly owing to China’s aging society.
Methods:
We used data from a population-representative epidemiological investigation of hearing loss and ear diseases in four Chinese provinces. We estimated the national prevalence using multiple linear regression of the age-group proportions and prevalence in 31 provinces with clustering analysis. We used years lived with disability (YLDs) to analyze the disease burden and forecasted the prevalence of hearing loss by 2060 in China.
Results:
An estimated 115 million people had moderate-to-complete hearing loss in 2015 across the 31 provinces of China (8.4% of 1.37 billion people). Of these, 85.7% were older than age 50 years (99 million people) and 2.4% were younger than 20 years old (2.8 million people). Of all YLDs attributable to hearing loss, 68.9% were attributable to moderate-to-complete cases. By 2060, a projected 242 million people in China will have moderate-to-complete hearing loss, a 110.0% increase from 2015.
Conclusions:
The hearing loss prevalence in China is high. Population aging and socioeconomic factors substantially affect the prevalence and severity of hearing loss and the disease burden. The prevalence and severity of hearing loss are unevenly distributed across different provinces. Future public health policies should take these trends and regional variations into account.
Journal Article
Image-guided cochlear access by non-invasive registration: a cadaveric feasibility study
2020
Image-guided cochlear implant surgery is expected to reduce volume of mastoidectomy, accelerate recovery, and improve safety. The purpose of this study was to investigate the safety and effectiveness of image-guided cochlear implant surgery by a non-invasive registration method, in a cadaveric study. We developed a visual positioning frame that can utilize the maxillary dentition as a registration tool and completed the tunnels experiment on 5 cadaver specimens (8 cases in total). The accuracy of the entry point and the target point were 0.471 ± 0.276 mm and 0.671 ± 0.268 mm, respectively. The shortest distance from the margin of the tunnel to the facial nerve and the ossicular chain were 0.790 ± 0.709 mm and 1.960 ± 0.630 mm, respectively. All facial nerves, tympanic membranes, and ossicular chains were completely preserved. Using this approach, high accuracy was achieved in this preliminary study, suggesting that the non-invasive registration method can meet the accuracy requirements for cochlear implant surgery. Based on the above accuracy, we speculate that our method can also be applied to neurosurgery, orbitofacial surgery, lateral skull base surgery, and anterior skull base surgery with satisfactory accuracy.
Journal Article
The Role of the P1 Latency in Auditory and Speech Performance Evaluation in Cochlear Implanted Children
2022
Auditory deprivation affects normal age-related changes in the central auditory maturation. Cochlear implants (CIs) have already become the best treatment strategy for severe to profound hearing impairment. However, it is still hard to evaluate the speech-language outcomes of the pediatric CI recipients because of hearing-impaired children with limited speech-language abilities. The cortical auditory evoked potential (CAEP) provides a window into the development of the auditory cortical pathways. This preliminary study is aimed at assessing electrophysical characteristics of P1-N1 of electrically CAEP in children with CIs and at exploring whether these changes could be accounted for in auditory and speech outcomes of these patients. CAEP responses were recorded in 48 children with CIs in response to electrical stimulus to determine the presence of the P1-N1 response. Speech perception and speech intelligibility of the implanted children were further evaluated with the categories of auditory performance (CAP) test and speech intelligibility rating (SIR) test, respectively, to explore the relationship between the latency of P1-N1 and auditory and speech performance. This study found that P1 and N1 of the intracochlear CAEP were reliably evoked in children fitted with CIs and that the latency of the P1 as opposed to that of N1 was negative in relation to the wearing time of the cochlear implant. Moreover, the latency of the P1 produced significantly negative scores in both CAP and SIR tests, which indicates that P1 latency may be reflective of the auditory performance and speech intelligibility of pediatric CI recipients. These results suggest that the latency of P1 could be used for the objective assessment of auditory and speech function evaluation in cochlear-implanted children, which would be helpful in clinical decision-making regarding intervention for young hearing-impaired children.
Journal Article
Fully automated segmentation in temporal bone CT with neural network: a preliminary assessment study
2021
Background
Segmentation of important structures in temporal bone CT is the basis of image-guided otologic surgery. Manual segmentation of temporal bone CT is time- consuming and laborious. We assessed the feasibility and generalization ability of a proposed deep learning model for automated segmentation of critical structures in temporal bone CT scans.
Methods
Thirty-nine temporal bone CT volumes including 58 ears were divided into normal (n = 20) and abnormal groups (n = 38). Ossicular chain disruption (n = 10), facial nerve covering vestibular window (n = 10), and Mondini dysplasia (n = 18) were included in abnormal group. All facial nerves, auditory ossicles, and labyrinths of the normal group were manually segmented. For the abnormal group, aberrant structures were manually segmented. Temporal bone CT data were imported into the network in unmarked form. The Dice coefficient (DC) and average symmetric surface distance (ASSD) were used to evaluate the accuracy of automatic segmentation.
Results
In the normal group, the mean values of DC and ASSD were respectively 0.703, and 0.250 mm for the facial nerve; 0.910, and 0.081 mm for the labyrinth; and 0.855, and 0.107 mm for the ossicles. In the abnormal group, the mean values of DC and ASSD were respectively 0.506, and 1.049 mm for the malformed facial nerve; 0.775, and 0.298 mm for the deformed labyrinth; and 0.698, and 1.385 mm for the aberrant ossicles.
Conclusions
The proposed model has good generalization ability, which highlights the promise of this approach for otologist education, disease diagnosis, and preoperative planning for image-guided otology surgery.
Journal Article
MSC-derived exosomes protect auditory hair cells from neomycin-induced damage via autophagy regulation
2024
Background
Sensorineural hearing loss (SNHL) poses a major threat to both physical and mental health; however, there is still a lack of effective drugs to treat the disease. Recently, novel biological therapies, such as mesenchymal stem cells (MSCs) and their products, namely, exosomes, are showing promising therapeutic potential due to their low immunogenicity, few ethical concerns, and easy accessibility. Nevertheless, the precise mechanisms underlying the therapeutic effects of MSC-derived exosomes remain unclear.
Results
Exosomes derived from MSCs reduced hearing and hair cell loss caused by neomycin-induced damage in models in vivo and in vitro. In addition, MSC-derived exosomes modulated autophagy in hair cells to exert a protective effect. Mechanistically, exogenously administered exosomes were internalized by hair cells and subsequently upregulated endocytic gene expression and endosome formation, ultimately leading to autophagy activation. This increased autophagic activity promoted cell survival, decreased the mitochondrial oxidative stress level and the apoptosis rate in hair cells, and ameliorated neomycin-induced ototoxicity.
Conclusions
In summary, our findings reveal the otoprotective capacity of exogenous exosome-mediated autophagy activation in hair cells in an endocytosis-dependent manner, suggesting possibilities for deafness treatment.
Journal Article
Development of patient-specific iPSC-based epilepsy models and identification of differentially expressed genes for disease mechanisms
by
Yang, Yinghong
,
Li, Shaoying
,
Xian, Jiajia
in
disease modeling
,
epilepsy
,
gene expression analysis
2025
Epilepsy is a complex neurodegenerative disorder characterized by recurrent seizures, which poses significant challenges for clinical management and therapeutic development. Recent advances in stem cell biology have enabled the use of patient-specific induced pluripotent stem cells (iPSCs) as a novel in vitro model for studying human diseases, including neurological disorders. In particular, iPSCs offer a promising platform for investigating the molecular mechanisms of epilepsy and facilitating personalized medicine.
In this study, we generated iPSC lines from individuals diagnosed with epilepsy who carry a novel mutation in the
gene. These patient-derived iPSCs were reprogrammed from somatic cells and subsequently characterized. To explore the molecular alterations associated with epilepsy, we performed transcriptomic profiling using RNA sequencing (RNA-seq). Differential gene expression analysis was conducted to compare the patient-derived iPSCs with control iPSC lines.
The RNA-seq analysis revealed a set of differentially expressed genes in epilepsy-derived iPSCs, with both upregulated and downregulated genes identified relative to controls. Several of these genes have previously been implicated in epilepsy-related phenotypes, as supported by published literature. This suggests a potential role for these genes in the pathophysiology of epilepsy linked to
mutations.
The successful establishment of
-mutant patient-specific iPSC lines and their transcriptomic characterization provide a valuable tool for studying the molecular basis of epilepsy. These findings underscore the potential of iPSC-based models to advance our understanding of disease mechanisms and support the development of novel diagnostic and therapeutic strategies. Moreover, this study demonstrates the applicability of iPSCs for epilepsy research and their promise in the field of personalized medicine.
Journal Article
Prevalence of mcr-1 in Colonized Inpatients, China, 2011–2019
by
Zhong, Lan-Lan
,
Wang, Yang
,
Shen, Jianzhong
in
Animals
,
Anti-Bacterial Agents - pharmacology
,
Antimicrobial agents
2021
In response to the spread of colistin resistance gene mcr-1, China banned the use of colistin in livestock fodders. We used a time-series analysis of inpatient colonization data from 2011-2019 to accurately reveal the associated fluctuations of mcr-1 that occurred in inpatients in response to the ban.
Journal Article
Measuring health-related quality of life in chronic otitis media in a Chinese population: cultural adaption and validation of the Zurich Chronic Middle Ear Inventory (ZCMEI-21-Chn)
2020
Background
The demand for assessing health-related quality of life (HRQoL) in chronic otitis media (COM) is increasing globally. The currently available Chinese-language patient-reported outcome measurement (PROM) specific for COM includes merely a limited range of related symptoms and dimensions. Hence, in this study, we aim to translate, culturally adapt, and validate the Zurich Chronic Middle Ear Inventory (ZCMEI-21) in Chinese, to enable a comprehensive evaluation of the patients’ subjective health outcome in COM.
Methods
We sampled and surveyed 223 COM patients at three tertiary referral centers in China, using the Chinese translation of ZCMEI-21 (ZCMEI-21-Chn) and the EQ-5D questionnaire, a generic measure of HRQoL. Confirmatory factor analysis (CFA) was performed to investigate the structural model fit to the dataset. Cronbach’s α and test-retest reliability coefficient were calculated to establish reliability, and correlation was tested between ZCMEI-Chn scores and EQ-5D scores for convergent validity.
Results
A total of 208 adult patients with COM were included, with a mean age of 46 years (SD 14 years) and a male proportion of 41% (85/208). A modified bifactor model with ω
H
of 0.65 and ECV of 0.47 was found to fit the scale scores, indicating fair general factor saturation and multidimensionality of the instrument. ZCMEI-21-Chn demonstrated good reliability (Cronbach’s α = 0.88, test-retest reliability = 0.88). The total scores of ZCMEI-21-Chn had a moderate correlation with a question directly addressing HRQoL (
r
= 0.40,
p
< 0.001), EQ-5D descriptive system score (
r
= 0.57,
p
< 0.001), and EQ-5D visual analogous scale (
r
= 0.30,
p
< 0.001).
Conclusions
The ZCMEI-21-Chn is valid, reliable and culturally adapted to Chinese adult patients with COM. This study offers clinicians an efficient and comprehensive instrument to quantify COM patients’ self-reported health outcomes, which could facilitate the standardization of HRQoL data aggregation in COM on a global scale.
Journal Article
Salicylate increased ascorbic acid levels and neuronal activity in the rat auditory cortex
2019
Importance Clinical observations have implied a central origin for tinnitus and potential therapeutic effects of ascorbic acid (AA); however, the detailed mechanisms remain undetermined. Objective To investigate changes in the AA levels and neural activity in the auditory cortex (AC) during salicylate‐induced tinnitus. Methods Rats were randomly divided into 3 groups: (1) saline group, which received an intraperitoneal saline injection; (2) SS group, which received an intraperitoneal sodium salicylate (SS) injection (350 mg/kg); and (3) SS+Lido group, which received an intraperitoneal SS injection (350 mg/kg) and lidocaine delivered to the AC by microdialysis. For each group, we firstly used an in vivo microdialysis technique to investigate the concentrations of AA in the AC; and secondly, we recorded the neural activity in the AC using a single‐unit recording technique. Results The AA concentration in the SS group significantly increased after SS injection, whereas that of the saline group did not change. The AA concentration in the SS+Lido group also showed an increasing trend but was significantly lower than that in the SS group. In the electrophysiological study, the spontaneous firing rate of the SS group was significantly higher than that of the saline group. In addition, the proportion of short interval discharges was also higher in the SS group than in the saline group. Both differences were reversed by lidocaine treatment. Interpretation Our data suggest that the elevation of AA levels in the AC may be related to increased neuronal activity, which may represent the mechanism underlying salicylate‐induced tinnitus.
Journal Article