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| 1 | Staged angioplasty versus regular carotid artery stenting in patients with carotid artery stenosis at high risk of hyperperfusion:a randomised clinical trial显示文摘Background and purpose Hyperperfusion(HP)is a devastating complication associated with carotid artery stenting(CAS)or endarterectomy.The efficacy and safety of staged angioplasty(SAP)in patients with CAS at high risk of HP remains unclear.We sought to determine whether SAP is superior to regular CAS in patients with high risk of HP.Methods A randomised,multicentre open-label clinical trial with blinded outcome assessment(STEP)was conducted.Patients with severe carotid stenosis at high risk of HP were randomly assigned(1:1)to the SAP or regular CAS group.The primary endpoint was hyperperfusion syndrome(HPS)and intracerebral haemorrhage(ICH)within 30 days after the procedure.Results From November 2014 to January 2017,a total of 64 patients were enrolled in 11 centres.33 patients were allocated to the SAP group and 31 to the regular CAS group.At 30 days,the rate of primary endpoint was 0.0%(0/33)in the SAP group and 9.7%(3/31)in the regular CAS group(absolute risk reduction(ARR),9.7%;95%CI−20.1% to 0.7%;p=0.11).As one of the secondary endpoints,the incidence of HP phenomenon(HPP)was lower in the SAP group than the regular CAS group(0.0%vs 22.6%,ARR,−22.6%;95% CI−36.8%to−10.2%;p=0.04).Conclusion The rate of HPS and ICH was not significantly lower in SAP group;the extended secondary endpoint of HPP,however,significantly reduced,which suggested that SAP may be a safe and effective carotid revascularisation procedure to prevent HP. | Dapeng Mo Baixue Jia Huaizhang Shi Yaxuan Sun Qingan Liu Chengzhe Fan Jianping Deng Jinglin Yuan Wei Wu Changchun Jiang Guilian Zhang Hanjun Du Ning Ma Feng Gao Xuan Sun Ligang Song Lian Liu Guangge Peng Yongjun Wang Yilong Wang Zhongrong Miao the STEP Study Group | 2021 | Stroke & Vascular Neurology2021，6，1： | 3 |
| 2 | A relatively high zoonotic trematode prevalence in Orientogalba ollula and the developmental characteristics of isolated trematodes by experimental infection in the animal model显示文摘Background:Food-borne parasitic diseases decrease food safety and threaten public health.The snail species is an intermediate host for numerous human parasitic trematodes.Orientogalba ollula has been reported as intermediate hosts of many zoonotic trematodes.Here,we investigated the prevalence of zoonotic trematodes withinO.ollula in Guangxi,China,and assessed their zoonotic potential.Methods:Snails were collected from 54 sites in 9 cities throughout Guangxi.The snail and trematode larvae species were determined by combining morphological characteristics and molecular markers.The trematodes prevalence and constituent ratio were calculated and compared among different habitat environments.Phylogenetic trees of the trematode species were constructed using the neighbor-joining method with nuclear internal transcribed spacer 2(ITS2)sequences.The developmental cycles of the isolated trematodes were examined by experimental infection in ducks.The developmental characteristics ofEchinostoma revolutum was recorded by dissecting infected ducklings from 1-day post infection(dpi)to 10 dpi.Results:The overall prevalence of trematode larvae was 22.1%(1818/8238)inO.ollula from 11 sample sites.Morphological together with molecular identification,showed thatE.revolutum,Australapatemon sp.,Hypoderaeum conoideum,Pharyngostomum cordatum,andEchinostoma sp.parasitizedO.ollula,with the highest infection rate ofE.revolutum(13.0%).However,noFasciola larvae were detected.The trematodes prevalence and constituent ratio varied in two sub-biotypes(P<0.01).A neighbor-joining tree analysis of ITS2 sequences resulted in distinct monophyletic clades supported by sequences from isolated larvae with high bootstrap values.Ducklings exposed toO.ollula infected withEchinostoma sp.,E.revolutum,andH.conoideum larvae were successfully infected.The animal model forEchinostoma revolutum was successfully established.E.revolutum matured from larvae to adult at 10 dpi in the intestine of the duck,and the developmental characteristics ofE.revolutum were characterized by the maturation of the reproductive and digestive organs at 6-8 dpi.Conclusions:This study revealed a high prevalence of zoonotic trematodes inO.ollula from Guangxi,China.Existing trematodes infection in animals and human clinical cases,coupled with the wide geographical distribution ofO.ollula,necessitate further evaluations of the potential risk of spillover of zoonotic infection from animal to human and vice versa. | Jian Li Yijing Ren Lei Yang Jiani Guo Haiying Chen Jiani Liu Haoqiang Tian Qingan Zhou Weiyi Huang Wei Hu Xinyu Feng | 2022 | Infectious Diseases of Poverty2022，11，4： | 1 |
| 3 | Chinese brushes: From controllable liquid manipulation to template-free printing microlines显示文摘作为为书法和画的一台传统的作品仪器,中国刷子由于它 controllably 处理液体墨水的能力在最后 5,000 年享受了高名声,并且广泛地被用来作为文化通讯的一个工具扔墨水进某些人物或图。在这微型评论,我们首先显示出在一把中国刷子的可控制的液体转移的关键怎么躺在刚突现的头发的各向异性的多尺度的结构的特征。然后,绘画从这的灵感,在抽的可控制的液体的应用,高度有效的液体转移和没有模板的打印 microlines 被探讨。我们想象在液体操作的中国刷子和他们的应用的基础在这评论提及,这可以也被扩大到另外的液体阶段功能的材料系统。 | Qianbin wang Qingan Meng Huan Liu Lei Jiang | 2015 | Nano Research2015，8，1： | 1 |
| 4 | Deep Learning-Based Program-Wide Binary Code Similarity for Smart Contracts显示文摘Recently,security issues of smart contracts are arising great attention due to the enormous financial loss caused by vulnerability attacks.There is an increasing need to detect similar codes for hunting vulnerability with the increase of critical security issues in smart contracts.Binary similarity detection that quantitatively measures the given code diffing has been widely adopted to facilitate critical security analysis.However,due to the difference between common programs and smart contract,such as diversity of bytecode generation and highly code homogeneity,directly adopting existing graph matching and machine learning based techniques to smart contracts suffers from low accuracy,poor scalability and the limitation of binary similarity on function level.Therefore,this paper investigates graph neural network to detect smart contract binary code similarity at the program level,where we conduct instruction-level normalization to reduce the noise code for smart contract pre-processing and construct contract control flow graphs to represent smart contracts.In particular,two improved Graph Convolutional Network(GCN)and Message Passing Neural Network(MPNN)models are explored to encode the contract graphs into quantitatively vectors,which can capture the semantic information and the program-wide control flow information with temporal orders.Then we can efficiently accomplish the similarity detection by measuring the distance between two targeted contract embeddings.To evaluate the effectiveness and efficient of our proposed method,extensive experiments are performed on two real-world datasets,i.e.,smart contracts from Ethereum and Enterprise Operation System(EOS)blockchain-based platforms.The results show that our proposed approach outperforms three state-of-the-art methods by a large margin,achieving a great improvement up to 6.1%and 17.06%in accuracy. | Yuan Zhuang Baobao Wang Jianguo Sun Haoyang Liu Shuqi Yang Qingan Da | 2023 | Computers, Materials & Continua2023，，1： | 0 |
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