Xiaoyu Chen

Jiangnan University

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Daimeng Wei

Huawei Technologies (China)

Zongyao Li

Hunan University of Science and Technology

Hengchao Shang

Huawei Technologies (China)

Lizhi Lei

Huawei Technologies (China)

Zhengzhe Yu

Huawei Technologies (China)

Yang Hao

Queen Mary University of London

Minghan Wang

Shanghai Ninth People's Hospital

Zhanglin Wu

Third Affiliated Hospital of Southern Medical University

Zhiqiang Rao

Huawei Technologies (China)

Shaojun Li

Anhui Science and Technology University

Cooperative Institutions

Chinese Academy of Sciences

Huawei Technologies (China)

Shanghai Jiao Tong University

Shanghai University of Medicine and Health Sciences

Jiangnan University

Peking University

Tsinghua University

Dalian University of Technology

Tianjin Medical University

University of Chinese Academy of Sciences

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A Screening Tool Using Five Risk Factors Was Developed for Fall-Risk Prediction in Chinese Community-Dwelling Elderly Individuals

Rejuvenation Research (2017)

Li Kang Xiaoyu Chen Peipei Han Yixuan Ma Liye Jia

The objective of this study was to determine falls risk profiles to derive a falls risk prediction score and establish a simple and practical clinical screening tool for Chinese community-dwelling elderly individuals. This was a prospective cohort study (n = 619) among adults aged 60 years and older. Falls were ascertained at a 1-year follow-up appointment. Sociodemographic information, medical history, and physical performance data were collected. The mean age was 67.4 years; 57.7% were women. Female sex (odds ratios [ORs] 1.82; 95% confidence interval [95% CI] 1.17–2.82), diabetes (OR 2.13; 95% CI 1.13–3.98), a Timed Up and Go Test (TUGT) ≥10.49 seconds (OR 1.51; 95% CI 1.23–1.94), a history of falls (OR 3.15; 95% CI 1.72–5.79), and depression (Geriatric Depression Scale [GDS] ≥11, OR 2.51; 95% CI 1.36–4.63) were the strongest predictors. These predictors were used to establish a risk score. The area under the curve of the score was 0.748. From a clinical point of view, the most appropriate cutoff value was 7 (97.5% specificity, 70.7% positive predictive value, and 83.6% negative predictive value). For this cutoff, the fraction correctly classified was 82.5%. A cutoff score of 7 derived from a risk assessment tool using four risk factors (gender, falls history, diabetes, and depression) and the TUGT may be used in Chinese community-dwelling elderly individuals as an initial step to screen those at low risk for falls.

Depression

Geriatric Depression Scale

10.1089/rej.2017.2005

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Citations (26)

Structural barriers governing starch digestibility in intact highland barley cells: A closer insight from cell wall and protein matrix

Carbohydrate Polymers (2024)

Xiaoyu Chen Ling Zhu Hui Zhang Yayuan Zhang Lilin Cheng

Matrix (chemical analysis)

10.1016/j.carbpol.2024.122796

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The influence mechanism of rice protein on leached amylose molecular structure: Steric hindrance effect of protein bodies

Food Research International (2024)

Jiali Hu Ling Zhu Xiaoyu Chen Xiaowei Shi Ying Ji

10.1016/j.foodres.2024.115362

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Citations (2)

Multiscale structure barrier of whole grains and its transformation during heating as starch digestibility controllers in digestive tract: A review

Food Hydrocolloids (2024)

Xiaoyu Chen Ling Zhu Hui Zhang Gangcheng Wu Lilin Cheng

Digestive tract

10.1016/j.foodhyd.2024.110606

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Design and Application of Integrated Monitoring Model for Provincial Meteorological Observation Data Transmission

Journal of Geoscience and Environment Protection (2019)

Yonghua Zhang Xiaoyu Chen Shuoben Bi Shen Ping Zhenlang Ao

With the development of meteorological services, there are more and more types of real-time observation data, and the timeliness requirements are getting higher and higher. The monitoring methods of existing meteorological observation data transmission can no longer meet the needs. This paper proposes a new monitoring model, namely the “integrated monitoring model” for provincial meteorological observation data transmission. The model can complete the whole network monitoring of meteorological observation data transmission process. Based on this model, the integrated monitoring system for meteorological observation data transmission in Guangdong Province is developed. The system uses Java as the programming language, and integrates J2EE, Hibernate, Quartz, Snmp4j and Slf4j frameworks, and uses Oracle database as the data storage carrier, following the MVC specification and agile development concept. The system development uses four key technologies, including simple network management protocol, network connectivity detection technology, remote host management technology and thread pool technology. The integrated monitoring system has been put into business application. As a highlight of Guangdong’s meteorological modernization, it has played an active role in many major meteorological services.

Network monitoring

10.4236/gep.2019.75010

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Effects of protein morphological structures on the cereal processing, sensorial property and starch digestion: a review

Critical Reviews in Food Science and Nutrition (2024)

Jiali Hu Ling Zhu Xianting Yin Xiaoyu Chen Hui Zhang

In cereals, the protein body and protein matrix are usually two morphological protein structures. However, processing treatments can affect protein structures, change protein bodies into the matrix, or induce a change in the matrix structure; therefore, the processing-induced matrix was listed as the third morphological structure of the protein. Previous research on the effect of proteins was mainly based on protein content and composition, but these studies arrived at different conclusions. Studying the effect of protein morphological structures on sensorial property and starch digestion can provide a theoretical basis for selecting cultivars with high sensorial property and help produce low-glycemic index foods for people with diabetes, controlling their postprandial blood sugar. This study aimed to review the distribution and structure of protein bodies, protein matrices, and processing-induced matrices, as well as their influence on cereal sensorial property and starch digestion. Therefore, we determined the protein morphological structures in different cereal cultivars and summarized its impact. Protein bodies mainly have steric stabilization effects on starch gelatinization, whereas the protein matrix serves as a physical barrier surrounding the starch to inhibit water absorption and α-amylase. Processing can change protein morphological structures, enabling protein bodies to act as a physical matrix barrier.

Digestion

10.1080/10408398.2024.2365354

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Citations (2)

The HW-TSC’s Simultaneous Speech-to-Speech Translation System for IWSLT 2023 Evaluation

Hengchao Shang Zhiqiang Rao Zongyao Li Zhanglin Wu Jiaxin Guo

Hengchao Shang, Zhiqiang Rao, Zongyao Li, Zhanglin Wu, Jiaxin Guo, Minghan Wang, Daimeng Wei, Shaojun Li, Zhengzhe Yu, Xiaoyu Chen, Lizhi Lei, Hao Yang. Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023). 2023.

Speech translation

Chen

10.18653/v1/2023.iwslt-1.36

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Citations (1)

HW-TSC’s Participation in the IWSLT 2022 Isometric Spoken Language Translation

Zongyao Li Jiaxin Guo Daimeng Wei Hengchao Shang Minghan Wang

Zongyao Li, Jiaxin Guo, Daimeng Wei, Hengchao Shang, Minghan Wang, Ting Zhu, Zhanglin Wu, Zhengzhe Yu, Xiaoyu Chen, Lizhi Lei, Hao Yang, Ying Qin. Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022). 2022.

Chen

Spoken Language

10.18653/v1/2022.iwslt-1.33

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Citations (2)

Relationships between sarcopenia, depressive symptoms, and mild cognitive impairment in Chinese community-dwelling older adults

Journal of Affective Disorders (2021)

Xiaoyu Chen Peipei Han Xing Yu Yuanyuan Zhang Peiyu Song

Clinical Dementia Rating

Geriatric Depression Scale

Mini–Mental State Examination

Depression

10.1016/j.jad.2021.02.067

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Citations (53)

Named Entity Recognition of Chinese Electronic Medical Records Based on Cascaded Conditional Random Field

Xiaoyu Chen Shenghui Shi Siyan Zhan Daguang Jiang Xiaoyong Lin

Medical information carried by electronic medical records has high clinical application value, and named entity recognition is the key task to extract valuable information from a large number of electronic medical records. In order to realize the intelligent identification of named entities in Chinese electronic medical record texts, this paper analyzes the characteristics that affect the recognition performance. The feature set is composed of language symbol features, part of speech features, context features, word boundary features and identifier feature. The feature template is designed and the Cascaded Conditional Random Field model is established. Based on the data selection strategy, we trained the Cascaded Conditional Random Field to identify the disease names, drug names and symptom names in Chinese electronic medical records. This method reduced the scale of training data, reduced the artificial markers and improved the recognition performance of disease names, drug names and symptom names, and the F value reached 68.18%, 90.91% and 87.13%, respectively.

Named Entity Recognition

Identification

Feature (linguistics)

10.1109/icbda.2019.8713244

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Citations (9)