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数字贸易国际治理的法治路径与中国对策

海峡法学 2024年第3期26卷 36-50页

作者：杨灵一山东大学法学院

数字贸易国际治理的法治路径分为国际硬法治理和国际软法治理两种。国际硬法以其稳定性增强了各国参与数字贸易国际治理的可预期性。数字贸易硬法治理包括以WTO为中心的多边路径和以FTAs/RTAs为代表的区域路径,二者相辅相成、彼此促进,... 详细信息

数字贸易国际治理的法治路径分为国际硬法治理和国际软法治理两种。国际硬法以其稳定性增强了各国参与数字贸易国际治理的可预期性。数字贸易硬法治理包括以WTO为中心的多边路径和以FTAs/RTAs为代表的区域路径,二者相辅相成、彼此促进,共同构建了当前数字贸易的硬法治理体系与格局。全球数字贸易领域已出现大量国际软法,其具有的灵活性、非对抗性等特点与数字贸易的自由化精神不谋而合,在数字贸易治理中的实用价值已经充分显现。作为数字经济第二大国,中国积极参与多边和区域层面的数字贸易硬法治理,以实际行动支持数字贸易软法治理,同时也面临着诸多挑战。为此,中国应当推动WTO电子商务诸边谈判顺利完成,深化数字贸易区域硬法治理合作;以“数字命运共同体”理念指导国际软法的制定,不断完善“一带一路”软法建设,进一步推动软法治理“硬化”。

关键词：数字贸易国际治理硬法软法

α1酸性糖蛋白在肺部疾病及不同系统疾病中的作用及新进展

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中国综合临床 2024年第1期40卷 73-76页

作者：钱瑞琪杨陵懿沈续瑞张秀琴黄建安苏州大学附属第一医院呼吸与危重症医学科苏州215006

α1酸性糖蛋白(alpha1-acid glycoprotein,AGP),又称口腔黏液蛋白(oral mucus protein,ORM),是一种急性期阳性蛋白。AGP具有多种生物活性,如转运药物、调节免疫、维持毛细血管屏障、调节脂质代谢等。AGP主要存在于肝细胞中,其他组织细胞... 详细信息

α1酸性糖蛋白(alpha1-acid glycoprotein,AGP),又称口腔黏液蛋白(oral mucus protein,ORM),是一种急性期阳性蛋白。AGP具有多种生物活性,如转运药物、调节免疫、维持毛细血管屏障、调节脂质代谢等。AGP主要存在于肝细胞中,其他组织细胞,如脂肪组织、脑组织、内皮细胞和免疫细胞等也有表达AGP。本文主要综述AGP在肺部疾病的应用情况,和在不同系统疾病中的作用、意义及相关新进展。

关键词： α1酸性糖蛋白肺部疾病慢性阻塞性肺病

Photochemical cycloaddition and temperature-dependent breathing in pillared-layer metal–organic frameworks

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Science Bulletin 2019年第24期64卷 1881-1889页

作者： Qingqing Pang Binbin Tu lingyi yang Qiaowei Li Department of Chemistry Collaborative Innovation Center of Chemistry for Energy Materials (iChEM) and Shanghai Key Laboratory of Molecular Catalysis and InnovativeMaterials Fudan University

Single crystallinity of metal–organic frameworks(MOFs) enables the studies of their flexible behaviors with atomic precision. Here, we investigated the structural transformations triggered by photochemical cycloaddition and with temperature-dependent breathing in a series of pillared-layer MOF structures using a variety of pyrazolecarboxylate linkers for the layers and bipyridyl linkers as the pillars. The ethylenic double bonds from the pillars in close proximity undergo quantitative and seteroselective photochemical [2 + 2] cycloaddition upon UV irradiation, transforming the MOFs into structures with cyclobutane-based pillars. Furthermore, reversible breathing of the new pillared-layer MOF was evidenced by the 10.8% unit cell parameter change along c axis upon temperature change between 298 and 173 K. As revealed by single crystal X-ray diffraction, this transformation originates from the relative flattening of the wavy layers upon cooling. These two different types of characteristic structural transformations responding to inherent reactions and external stimuli happen at single crystalline state, providing a well-defined robust system with controlled flexibility.

关键词： Pillared-layer MOF Photochemical cycloaddition Structural transformation Breathing MOF Reticular chemistry

Progress in approved drugs from natural product resources

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Chinese Journal of Natural Medicines 2024年第3期22卷 195-211页

作者： LUO Zhongwen YIN Fucheng WANG Xiaobing KONG lingyi State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Bioactive Natural Product Research School of Traditional Chinese PharmacyChina Pharmaceutical UniversityNanjing 211198China

Natural products (NPs) have consistently played a pivotal role in pharmaceutical research, exerting profound impactson the treatment of human diseases. A significant proportion of approved molecular entity drugs are either directly derived from NPs orindirectly through modifications of NPs. This review presents an overview of NP drugs recently approved in China, the United States,and other countries, spanning various disease categories, including cancers, cardiovascular and cerebrovascular diseases, centralnervous system disorders, and infectious diseases. The article provides a succinct introduction to the origin, activity, development process, approval details, and mechanism of action of these NP drugs.

关键词： New drugs Natural products Structural modification

A Novel Fall Detection Framework Using Skip-DSCGAN Based on Inertial Sensor Data

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Computers, Materials & Continua 2024年第1期78卷 493-514页

作者： Kun Fang Julong Pan lingyi Li Ruihan Xiang College of Information Engineering China Jiliang UniversityHangzhou310018China

With the widespread use of Internet of Things(IoT)technology in daily life and the considerable safety risks of falls for elderly individuals,research on IoT-based fall detection systems has gainedmuch *** paper proposes an IoT-based spatiotemporal data processing framework based on a depthwise separable convolution generative adversarial network using skip-connection(Skip-DSCGAN)for fall *** method uses spatiotemporal data from accelerometers and gyroscopes in inertial sensors as input data.A semisupervised learning approach is adopted to train the model using only activities of daily living(ADL)data,which can avoid data imbalance ***,a quantile-based approach is employed to determine the fall threshold,which makes the fall detection frameworkmore *** proposed fall detection framework is evaluated against four other generative adversarial network(GAN)models with superior anomaly detection performance using two fall public datasets(SisFall&MobiAct).The test results show that the proposed method achieves better results,reaching 96.93% and 92.75% accuracy on the above two test datasets,*** the same time,the proposed method also achieves satisfactory results in terms ofmodel size and inference delay time,making it suitable for deployment on wearable devices with limited *** addition,this paper also compares GAN-based semisupervised learning methods with supervised learning methods commonly used in fall *** clarifies the advantages of GAN-based semisupervised learning methods in fall detection.

关键词： Fall detection skip-connection depthwise separable convolution generative adversarial networks inertial sensor

Graph neural network-based scheduling for multi-UAV-enabled communications in D2D networks

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Digital Communications and Networks 2024年第1期10卷 45-52页

作者： Pei Li lingyi Wang Wei Wu Fuhui Zhou Baoyun Wang Qihui Wu Nanjing University of Posts and Telecommunications Nanjing210023China Nanjing University of Aeronautics and Astronautics Nanjing210016China

In this paper,we jointly design the power control and position dispatch for Multi-Unmanned Aerial Vehicle(UAV)-enabled communication in Device-to-Device(D2D)*** objective is to maximize the total transmission rate of Downlink Users(DUs).Meanwhile,the Quality of Service(QoS)of all D2D users must be *** comprehensively considered the interference among D2D communications and downlink *** original problem is strongly non-convex,which requires high computational complexity for traditional optimization *** to make matters worse,the results are not necessarily globally *** this paper,we propose a novel Graph Neural Networks(GNN)based approach that can map the considered system into a specific graph structure and achieve the optimal solution in a low complexity ***,we first construct a GNN-based model for the proposed network,in which the transmission links and interference links are formulated as vertexes and edges,***,by taking the channel state information and the coordinates of ground users as the inputs,as well as the location of UAVs and the transmission power of all transmitters as outputs,we obtain the mapping from inputs to outputs through training the parameters of *** results verified that the way to maximize the total transmission rate of DUs can be extracted effectively via the training on ***,it also shows that the performance of proposed GNN-based method is better than that of traditional means.

关键词： Unmanned aerial vehicle D2 Dcommunication Graph neural network Power control Position planning

Sustainable management of campus fallen leaves through low-temperature pyrolysis and application in Pb immobilization

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Journal of Environmental Sciences 2024年第5期139卷 281-292页

作者： Rongli Tan Ke Li Yue Sun Xiaoliang Fan Zhengtao Shen lingyi Tang School of Environment Nanjing UniversityNanjing 210023China School of Chemistry and Chemical Engineering Nanjing UniversityNanjing 210023China School of Earth and Engineering Sciences Nanjing UniversityNanjing 210023China Department of Earth and Atmospheric Sciences University of AlbertaEdmonton T6G 2E3Canada

Realizing campus sustainability requires the environmental-friendly and economical treatment of tremendous fallen *** fallen leaf biochar at a low temperature is a candidate *** this study,six common types of fallen leaves on the campus were pyrolyzed at 300℃.The obtained biochars were characterized and the adsorption mechanisms of lead(Pb)by the fallen leaf biochars were *** adsorption capacity of leaf biochar for Pb was relatively high,up to 209 mg/g(Yulania denudata leaf biochar).Adsorption of Pb onto active sites was the rate-limiting step for most leaf *** for Platanus leaf biochar,intraparticle diffusion of Pb^(2+)dominated owing to the lowest adsorption ***,the highest exchangeable Pb fraction(27%)indicated its potential for removing aqueous Pb^(2+).Ginkgo and Prunus cerasifera leaf biochar immobilized Pb by surface complexation and precipitation as lead ***,they were suitable for soil heavy metal *** study shed the light on the sustainable utilization of campus fallen leaves and the application of fallen leaf biochars in heavy metal remediation.

关键词： Fallen leaves Waste management Biochar Lead removal Sorption Circular campus

An intelligent active probing and trace-back scheme for IoT anomaly detection

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Digital Communications and Networks 2024年第1期10卷 168-181页

作者： Luying Wang lingyi Chen Neal N.Xiong Anfeng Liu Tian Wang Mianxiong Dong School of Computer Science and Engineering Central South UniversityChangsha 410083China Department of Computer Science and Mathematics Sul Ross State UniversityAlpineTX 79830USA Artificial Intelligence and Future Networks Beijing Normal University&UICZhuhai 519087China Department of Information and Electronic Engineering Muroran Institute of TechnologyMuroran 050-8585Japan

Due to their simple hardware,sensor nodes in IoT are vulnerable to attack,leading to data routing blockages or malicious tampering,which significantly disrupts secure data *** Intelligent Active Probing and Trace-back Scheme for IoT Anomaly Detection(APTAD)is proposed to collect integrated IoT data by recruiting Mobile Edge Users(MEUs).(a)An intelligent unsupervised learning approach is used to identify anomalous data from the collected data by MEUs and help to identify anomalous nodes.(b)Recruit MEUs to trace back and propose a series of trust calculation methods to determine the trust of nodes.(c)The last,the number of active detection packets and detection paths are designed,so as to accurately identify the trust of nodes in IoT at the minimum cost of the network.A large number of experimental results show that the recruiting cost and average anomaly detection time are reduced by 6.5 times and 34.33%respectively,while the accuracy of trust identification is improved by 20%.

关键词： Anomaly detection Internet of things Integrating data collection Mobile edge users Intelligent

Migration mechanism and risk assessment of perand polyfluoroalkyl substances in the Ya'Er Lake oxidation pond area,China

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Journal of Environmental Sciences 2024年第2期136卷 301-312页

作者： Chang Li Huifang Zhong Jing Wu lingyi Meng Yingjun Wang Chunyang Liao Yawei Wang Yujian He University of Chinese Academy of Sciences Beijing 100049China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China China National Environmental Monitoring Centre Beijing 100012China Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances Institute of Environment and HealthJianghan UniversityWuhan 430056China

The migration mechanisms,sources,and environmental risks of 29 legacy and emerging perfluorinated and polyfluoroalkyl species present in an oxidation pond(Ya'Er Lake)were investigated for treating sewage based on the analysis of their occurrence and *** concentration of per-and polyfluoroalkyl substances(PFAS)in pond area was between0.30 and 63.2 ng/g dw(dry weight),with the overall average concentration of 8.00 ng/g ***,the PFAS concentrations in the surface sediments near the sewage outlet in Pond-1(50.2 ng/g dw)and Pond-5(average 15.1 ng/g dw)were 1–2 orders of magnitude higher than those in other *** general,the legacy PFAS,i.e.,perfluorooctane sulfonic acid was considered to be the major pollutant in the polluted area,on average,accounting for 73.0%of the total concentration of PFAS *** evaluating the regional distribution of different PFAS homologs,the short-chain PFAS pollutants with lower K_(ow)were found to migrate farther in both horizontal and vertical *** sewage outlets in Pond-1 and Pond-5are the main pollution sources in polluted area and the emerging PFAS pollutants in Pond-5have replaced the legacy PFAS pollutants as the main *** on positive matrix factorization analysis,three main industrial sources of PFAS pollutants in the study area were identified:protective coating,fire-fighting,and food packaging ***,the environmental risk assessment results showed that most study areas exhibited medium environmental risk(0.01≤Risk quotient(RQ)<1),indicating that the ecological environment risks in this area need further attention.

关键词： Perfluoroalkyl substances Distribution Migration mechanism Risk assessment