Xiaonan Li

Dongguan People’s Hospital

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Nan Zhou

National Institute for Parasitic Diseases

Mengying Chen

Fujian Agriculture and Forestry University

Cuiting Min

Second Affiliated Hospital of Nanjing Medical University

Qianqi Liu

Second Affiliated Hospital of Nanjing Medical University

Fan Yang

Xinxiang Medical University

Wei Zhou

Inner Mongolia University for Nationalities

Susu Du

Second Affiliated Hospital of Nanjing Medical University

Luting Peng

Second Affiliated Hospital of Nanjing Medical University

Guanming Lu

Nanjing University of Posts and Telecommunications

Yanyan Dai

Wenzhou Central Hospital

Cooperative Institutions

Pontifical Catholic University of Rio de Janeiro

323

Universidade Estadual de Londrina

319

A. Alikhanyan National Laboratory

315

Université Libre de Bruxelles

292

Beijing Normal University

290

Institute of High Energy Physics

286

Chinese Academy of Sciences

245

China Institute of Atomic Energy

200

China Academy of Space Technology

192

Federico Santa María Technical University

186

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American Journal of Physical Medicine & Rehabilitation (2015)

Xiaoke Zhao Mengying Chen Xiaonan Li

Rehabilitation Department Nanjing Children’s Hospital Affiliated to Nanjing Medical University Nanjing, China Department of Children Healthcare Nanjing Children’s Hospital Affiliated to Nanjing Medical University Nanjing, China

Rehabilitation hospital

10.1097/phm.0000000000000364

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Citations (1)

A 3D Point Cloud Classification Method Based on Adaptive Graph Convolution and Global Attention

Sensors (2024)

Yaowei Yue Xiaonan Li Yun Peng

In recent years, there has been significant growth in the ubiquity and popularity of three-dimensional (3D) point clouds, with an increasing focus on the classification of 3D point clouds. To extract richer features from point clouds, many researchers have turned their attention to various point set regions and channels within irregular point clouds. However, this approach has limited capability in attending to crucial regions of interest in 3D point clouds and may overlook valuable information from neighboring features during feature aggregation. Therefore, this paper proposes a novel 3D point cloud classification method based on global attention and adaptive graph convolution (Att-AdaptNet). The method consists of two main branches: the first branch computes attention masks for each point, while the second branch employs adaptive graph convolution to extract global features from the point set. It dynamically learns features based on point interactions, generating adaptive kernels to effectively and precisely capture diverse relationships among points from different semantic parts. Experimental results demonstrate that the proposed model achieves 93.8% in overall accuracy and 90.8% in average accuracy on the ModeNet40 dataset.

Convolution (computer science)

Feature (linguistics)

10.3390/s24020617

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Citations (4)

Time-dependent sensitization of antipsychotic effect in adolescent male and female rats

Behavioural Brain Research (2017)

Xiaojing Ding Xiaonan Li Qing Shu Ruiyong Wu Gang Hu

Typical antipsychotic

Dopamine antagonist

10.1016/j.bbr.2017.04.013

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Citations (3)

ω3PUFAs improve hepatic steatosis in postnatal overfed rats and HepG2 cells by inhibiting acetyl‐CoA carboxylase

Food Science & Nutrition (2021)

Nan Zhou Susu Du Yanyan Dai Fan Yang Xiaonan Li

Abstract Postnatal overfeeding can lead to persistent increases in hepatic lipid synthesis and the risk of nonalcoholic fatty liver disease (NAFLD) in adulthood. The ω3 polyunsaturated fatty acids (ω3PUFAs) exhibit beneficial effects on NAFLD. Here, we employed a rat model and an in vitro HepG2 cell model to investigate whether fish oil (FO) affects hepatic lipid synthesis due to postnatal overfeeding. Male Sprague‐Dawley were divided into litter sizes of three (small litters, SLs) or 10 (normal litters, NLs) on postnatal day 3 and were fed standard chow or FO diet beginning on postnatal week 3 to generate NL, SL, NL‐FO, and SL‐FO groups. The results indicated that the FO diet reduced the postnatal overfeeding‐induced body weight gain and NAFLD characteristics (such as serum and liver triglyceride (TG) and hepatic steatosis). In addition, FO restored the expression of hepatic lipid metabolism‐related genes (including SCD1 , FASN , CPT1 , LPL , ACC , and SREBP‐1c ) in SL‐FO rats. Specifically, the activity and expression pattern of ACC were consistent with SREBP‐1c. Furthermore, HepG2 cells were treated with oleic acid (OA), followed by eicosapentenoic acid (EPA), with or without SREBP‐1c siRNA. The cellular lipid droplets, TG content, and the expression of ACC (by 75%) and SREBP‐1c (by 45%) were increased by OA stimulation ( p < .05), which was inhibited by EPA treatment. However, the effect of EPA treatment was abolished when SREBP‐1c was silenced. In conclusion, ω3PUFAs‐rich diet may be an effective way to reverse the developmental programming of hepatic lipid synthesis, at least partially, by inhibiting ACC through modulating SREBP‐1c.

Steatosis

Acetyl-CoA Carboxylase

Lipogenesis

Fatty acid synthesis

10.1002/fsn3.2482

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UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction

Hang Yan Yu Sun Xiaonan Li Yunhua Zhou Xuanjing Huang

Information Extraction (IE) spans several tasks with different output structures, such as named entity recognition, relation extraction and event extraction. Previously, those tasks were solved with different models because of diverse task output structures. Through re-examining IE tasks, we find that all of them can be interpreted as extracting spans and span relations. They can further be decomposed into token-pair classification tasks by using the start and end token of a span to pinpoint the span, and using the start-to-start and end-to-end token pairs of two spans to determine the relation. Based on the reformulation, we propose a Unified Token-pair Classification architecture for Information Extraction (UTC-IE), where we introduce Plusformer on top of the token-pair feature matrix. Specifically, it models axis-aware interaction with plus-shaped self-attention and local interaction with Convolutional Neural Network over token pairs. Experiments show that our approach outperforms task-specific and unified models on all tasks in 10 datasets, and achieves better or comparable results on 2 joint IE datasets. Moreover, UTC-IE speeds up over state-of-the-art models on IE tasks significantly in most datasets, which verifies the effectiveness of our architecture.

Relationship extraction

Feature (linguistics)

10.18653/v1/2023.acl-long.226

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Citations (4)

Relationship of athernsclerosis in carotid and lower limb arteries to coronary artery disease in type 2 diabetes

Zhonghua neifenmi daixie zazhi (2009)

Dandan Zhang Yiming Mu Junhua Meng Bin Deng Xiaonan Li

Objective To analyze the risk factors of carotid artery and lower limb artery atherosclerosis and to explore their relationship to coronary disease. Methods Totally,1 005 patients with type 2 diabetes received ultrasound scanning of bilateral carotid and lower limb arteries. Carotid artery atherosclerosis (CA) and lower limb artery atherosclerosis (LA) were classified into 0 to 4 grades. The coronary disease related history was recorded. Results The grade of CA was positively correlated with that of LA. CA and LA shared some risk factors including age, duration of diabetes, male gender, history of ischemic brain damage, and diabetic peripheral neuropathy. In addition, hypertension and coronary disease history were independent risk factors for CA≥grade 2, while HbA ≥8% and diabetic retinopathy were independent risk factors for LA≥grade 2. The positive predictive values of CA≥grade 2, LA≥grade 2 for screening coronary disease were 28.6% and 28.5%, it reached 32.5% while both sites≥grade 2. Conclusion Carotid artery atherosclerosis and lower limb artery atherosclerosis are positively correlated. Hypertension is closely related to carotid artery atberosclerosis while HbA1c≥8% is related to lower limb artery atherosclerosis. Atberosclerosis at both sites is correlated with coronary disease. Examining these peripheral arteries, more efficient in combination, seems to be a helpful way for screening coronary disease. Key words: Atherosclerosis; Coronary disease; Diabetes mellitus,type 2; Ultrasonography,Doppler, color

Coronary arteries

Coronary atherosclerosis

10.3760/cma.j.issn.1000-6699.2009.04.002

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LYRM1, a novel gene promotes proliferation and inhibits apoptosis of preadipocytes

European Journal of Endocrinology (2008)

Jie Qiu Chunlin Gao Min Zhang Ronghua Chen Xia Chi

Objective To characterize a novel gene, Homo sapiens LYR motif containing 1 ( LYRM1 ), that is highly expressed in omental adipose tissue of obese subjects. Methods and results RT-PCR and western blot analysis confirmed that both mRNA and protein levels of LYRM1 were higher in omental adipose tissue of obese subjects than in normal weight subjects. RT-PCR analysis demonstrated that LYRM1 expression is widely distributed, with the highest levels of expression occurring in adipose tissue. A fusion protein of LYRM1 and green fluorescent protein as well as western blot analysis were used to identify the subcellular localization of LYRM1 in the nucleus. Based on Oil red O staining and the expression profile of specific differentiation markers, ectopic LYRM1 expression was not found to significantly affect adipogenesis. MTT assays and cell cycle analysis showed that LYRM1 promotes preadipocyte proliferation, and data from annexin V-FITC and caspase-3 activity assays further determined that LYRM1 can inhibit apoptosis of preadipocytes. Conclusions By increasing cell proliferation and lowering the rate of apoptosis, LYRM1 has the potential to modulate the size of the preadipocyte pool and influence adipose tissue homeostasis.

10.1530/eje-08-0518

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Citations (22)

Attention to guide breast feeding for sickness infants

Zhonghua shiyong erke linchuang zazhi (2017)

Xiaonan Li

Breast milk is best nutrition source for infants.However, human breast feeding is ceased or changed as formula feeding during disease or disease treatment.Now, the important significance of breast feeding for infants with preterm, diarrhea, jaundice, allergy, genetic disease and congenital cleft palate are analyzed, and feeding program is provided, which can help mothers continue breast feeding and let the infants get nutritional support and protection from breast feeding.By breast feeding, it may improve children rehabilitation growth and development. Key words: Breast feeding; Preterm; Diarrhea; Jaundice; Allergy and inherited metabolic disease

10.3760/cma.j.issn.2095-428x.2017.23.003

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Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural Network

Frontiers in Computational Neuroscience (2019)

Rui Zuo Wei Jing Xiaonan Li Chunlin Li Cui Zhao

Epilepsy is one of the most common chronic neurological diseases. High-frequency oscillations (HFOs) have emerged as promising biomarkers for the epileptogenic zone. However, visual marking of HFOs is a time-consuming and laborious process. Several automated techniques have been proposed to detect HFOs, yet these are still far from being suitable for application in a clinical setting. Here, ripples and fast ripples from intracranial electroencephalograms were detected in six patients with intractable epilepsy using a convolutional neural network (CNN) method. This approach proved more accurate than using four other HFO detectors integrated in RIPPLELAB, providing a higher sensitivity (77.04% for ripples and 83.23% for fast ripples) and specificity (72.27% for ripples and 79.36% for fast ripples) for HFO detection. Furthermore, for one patient, the Cohen's kappa coefficients comparing automated detection and visual analysis results were 0.541 for ripples and 0.777 for fast ripples. Hence, our automated detector was capable of reliable estimates of ripples and fast ripples with higher sensitivity and specificity than four other HFO detectors. Our detector may be used to assist clinicians in locating epileptogenic zone in the future.

10.3389/fncom.2019.00006

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Citations (65)

Comparison of the effects of caffeine citrate administering at different time on outcome and neuro-development of premature infants

Zhongguo xiaoer jijiu yixue (2020)

Xiaonan Li Falin Xu Yaxuan Liu Wenli Duan Mengdi Liu

Objective To investigate the effect of caffeine citrate administering at different time on outcome and neurodevelopment of premature infants. Methods A total of 113 preterm infants with gestational age less than 32 weeks and birth weight less than 1 500 g who were hospitalized and treated in the neonatal intensive care unit from January 2018 to June 2018 were enrolled.According to the time when caffeine citrate treatment was started, they were divided into early treatment group(≤1 days) with 53 infants and late treatment group(1 to 10 days) with 60 infants.A retrospective analysis was performed for their clinical data.The perinatal conditions, treatment process and clinical outcomes of the two groups were compared and the neurological development was followed up at 12 months old. Results Compared with the late treatment group, the early treatment group had a significantly shorter durations of mechanical ventilation time, oxygen therapy time, hospitalization days and a significantly lower incidence of bronchopulmonary dysplasia, patent ductus arteriosusand intraventricular hemorrhage or periventricular leukomalacia, and there were significant differences between two groups(P<0.05, respectively). The neonatal behavioral neurological assessment score in the early treatment group was higher than that in the late treatment group at 40 weeks of gestational age, and there was significant difference between two groups(P<0.05). The mental developmental index at 3 months of corrected age, the mental developmental index and psychomotor developmental index at 12 months were significantly better in the early treatment group than those in the late treatment group, and there were significant differences between two groups(P<0.05, respectively). Conclusion Early use of caffeine citrate can improve the outcome of premature infants and improve the prognosis of nervous system. Key words: Caffeine citrate; Premature infant; Very low birth weight infant; Neural development

Bronchopulmonary Dysplasia

Periventricular leukomalacia

10.3760/cma.j.issn.1673-4912.2020.02.012

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