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| 1 | Prevalence of Autism Spectrum Disorder in China:A Nationwide Multi-center Population-based Study Among Children Aged 6 to 12 Years显示文摘This study aimed to obtain the first national estimate of the prevalence of autism spectrum disorder(ASD) in Chinese children.We targeted the population of 6 to 12-year-old children for this prevalence study by multistage convenient cluster sampling.The Modified Chinese Autism Spectrum Rating Scale was used for the screening process.Of the target population of 142,086 children,88.5%(n=125,806) participated in the study.A total of 363 children were confirmed as having ASD.The observed ASD prevalence rate was 0.29%(95% CI:0.26%-0.32%) for the overall population.After adjustment for response rates,the estimated number of ASD cases was867 in the target population sample,thereby achieving an estimated prevalence of 0.70%(95% CI:0.64%-0.74%).The prevalence was significantly higher in boys than in girls(0.95%;95% CI:0.87%-1.02% versus 0.30%;95%CI:0.26%-0.34%;P <0.001).Of the 363 confirmed ASD cases,43.3% were newly diagnosed,and most of those(90.4%) were attending regular schools,and 68.8% of the children with ASD had at least one neuropsychiatric comorbidity.Our findings provide reliable data on the estimated ASD prevalence and comorbidities in Chinese children. | Hao Zhou Xiu Xu Weili Yan Xiaobing Zou Lijie Wu Xuerong Luo Tingyu Li Yi Huang Hongyan Guan Xiang Chen Meng Mao Kun Xia Lan Zhang Erzhen Li Xiaoling Ge Lili Zhang Chunpei Li Xudong Zhang Yuanfeng Zhou Ding Ding Andy Shih Eric Fombonne Yi Zheng Jisheng Han Zhongsheng Sun Yong-hui Jiang Yi Wang LATENT-NHC Study Team | 2020 | Neuroscience Bulletin2020，36，9： | 158 |
| 2 | Performance of the Autism Spectrum Rating Scale and Social Responsiveness Scale in Identifying Autism Spectrum Disorder Among Cases of Intellectual Disability显示文摘The Autism Spectrum Rating Scale(ASRS) and the Social Responsiveness Scale(SRS) have been widely used for screening autism spectrum disorder(ASD) in the general population during epidemiological studies, but studies of individuals with intellectual disability(ID) are quite limited. Therefore, we recruited the parents/caregivers of 204 ASD cases, 71 ID cases aged 6–18 years from special education schools, and 402 typically developing(TD) children in the same age span from a communitybased population to complete the ASRS and SRS. The results showed that the ID group scored significantly lower on total and subscale scores than the ASD group on both scales(P \ 0.05) but higher than TD children(P \ 0.05).Receiver operating characteristic analyses demonstrated a similar fair performance in discriminating ASD from ID with the ASRS(area under the curve(AUC) = 0.709,sensitivity = 77.0%, specificity = 52.1%, positive predictive value(PPV) = 82.2%) and the SRS(AUC = 0.742,sensitivity = 59.8%, specificity = 77.5%, PPV = 88.4%).The results showed that individuals with ID had clear autistic traits and discriminating ASD from ID cases was quite challenging, while assessment tools such as ASRS and SRS, help to some degree. | Chunpei Li Hao Zhou Tianqi Wang Shasha Long Xiaonan Du Xiu Xu Weili Yan Yi Wang | 2018 | Neuroscience Bulletin2018，34，6： | 5 |
| 3 | I-Neat:An Intelligent Framework for Adaptive Virtual Machine Consolidation显示文摘With the increasing use of cloud computing,high energy consumption has become one of the major challenges in cloud data centers.Virtual Machine(VM)consolidation has been proven to be an efficient way to optimize energy consumption in data centers,and many research works have proposed to optimize VM consolidation.However,the performance of different algorithms is related with the characteristics of the workload and system status;some algorithms are suitable for Central Processing Unit(CPU)-intensive workload and some for web application workload.Therefore,an adaptive VM consolidation framework is necessary to fully explore the potential of these algorithms.Neat is an open-source dynamic VM consolidation framework,which is well integrated into OpenStack.However,it cannot conduct dynamic algorithm scheduling,and VM consolidation algorithms in Neat are few and basic,which results in low performance for energy saving and Service-Level Agreement(SLA)avoidance.In this paper,an Intelligent Neat framework(I-Neat)is proposed,which adds an intelligent scheduler using reinforcement learning and a framework manager to improve the usability of the system.The scheduler can select appropriate algorithms for the local manager from an algorithm library with many load detection algorithms.The algorithm library is designed based on a template,and in addition to the algorithms of Neat,I-Neat adds six new algorithms to the algorithm library.Furthermore,the framework manager helps users add self-defined algorithms to I-Neat without modifying the source code.Our experimental results indicate that the intelligent scheduler and these novel algorithms can effectively reduce energy consumption with SLA assurance. | Yanxin Liu Yao Zhao Jian Dong Lianpeng Li Chunpei Wang Decheng Zuo | 2022 | Tsinghua Science and Technology2022，27，1： | 2 |
| 4 | A Copyright-Preserving and Fair Image Trading SchemeBased on Blockchain显示文摘With the proliferation of the Internet,particularly the rise of social media,digital images have gradually become an important part of life,and trading platforms have emerged for buying and selling images.However,traditional image trading service providers may disclose users’private information for profit.Additionally,many image trading platforms disregard the fairness of a transaction and the issue of copyright protection after an image is sold.This neglect harms the interests of users and affects their enthusiasm for trading.A secure way to safely transact images is needed.We proposed a copyright-preserving and fair image trading scheme based on blockchain,which combines amplifying locality-sensitive hashing with searchable symmetric encryption to achieve safe image retrieval on blockchain and ensure the credibility of the image retrieval process.Additionally,we use digital fingerprint and watermark technologies to realize the copyright protection of images and use smart contracts to achieve fair transaction processes.The experimental results show that our scheme can protect image copyrights and realize a fair trading process while ensuring efficiency. | Feng Yu Jiahui Peng Xianxian Li Chunpei Li Bin Qu | 2023 | Tsinghua Science and Technology2023，28，5： | 0 |
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