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2 weeks ago | 
advanced.onlinelibrary.wiley.com | Jing Pan |Shuai Chen |Shuang Chen |Jinwen Wang
Jiansheng Jie Macao Institute of Materials Science and Engineering, MUST-SUDA Joint Research Center for Advanced Functional Materials, Macau University of Science and Technology, Taipa, 999078 P. R. China Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou, Jiangsu, 215123 P. R. ChinaSearch for more papers by this author
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2 months ago | 
dx.doi.org | Shanshan Jiang |Wanyu Li |Benhao Li |Shuai Chen
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2 months ago | 
pubs.acs.org | Shanshan Jiang |Wanyu Li |Benhao Li |Shuai Chen
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Jan 16, 2025 | 
mdpi.com | Haiyan Hu |Wangpeng Li |Yifan Yang |Shuai Chen
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Dec 18, 2024 | 
nature.com | Shuai Chen |Fangyu Ding |David Buil-Gil |Mengmeng Hao |Jingying Fu |Jiping Dong | +4 more
The COVID-19 pandemic profoundly altered socio-economic activities, human behaviors, and crime patterns. However, less is known about how the pandemic and associated restrictions affected cyber-enabled and traditional fraud. Here, we conducted a retrospective analysis using police-recorded crime data in the UK to examine the impact of COVID-19 restrictions and changes in human activity on fraud. Results indicate that following the onset of the lockdown, the number of recorded fraud cases increased by 28.5%, contrasting with traditional property crimes, which dropped by 28.1%. However, the lockdown did not have a significant impact on the long-term trend of fraud. With the lifting of restrictions, fraud gradually regressed to levels approaching those before the pandemic. By inspecting the effects of different government responses and changes in population mobility on various types of fraud, we found that more stringent restrictions were associated with larger increases in most types of cyber-enabled fraud, except for those that rely on offline activities, whereas the impact on traditional fraud was mixed and contingent upon specific opportunity structures. These findings overall align with the assumptions of routine activity theory and provide clear support for its applicability in fraud and cybercrime.
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Nov 12, 2024 | 
nature.com | Mengmeng Hao |Fangyu Ding |Dong Jiang |Shuai Chen |Jiping Dong |Jun Zhuo
Cybercrime is a complex human behavior and social phenomenon. The COVID-19 pandemic has significantly altered socioeconomic activities, potentially causing changes in crime patterns. However, there has been limited research on how the interaction between the pandemic and socioeconomic factors affects cybercrime. Here we explore the spatiotemporal patterns of police-recorded cybercrime, including fraud and cyber-dependent crime, and employ a machine learning approach to assess the correlation of various factors on cybercrimes at the level of internal regions and police areas within the United Kingdom. Our results show that fraud and cyber-dependent crime are mainly concentrated in London and the southeast region of England. Moreover, following the implementation of the third national lockdown, these areas experienced a noticeable increase, while changes in other regions were not as pronounced. The spatial autocorrelation analysis further suggests that there are significant spatial heterogeneities among regions, with spatiotemporal hotspots centered around London and cold spots mainly concentrated in the northeast of England. Additionally, we found that the identified patterns of fraud and cyber-dependent crime are primarily associated with socioeconomic factors, followed by government containment measures and mobility factors. These findings can help law enforcement and regulatory agencies better understand the social-environmental factors contributing to the prevalence of cybercrime within those areas.
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Oct 3, 2024 | 
onlinelibrary.wiley.com | Siying An |Ling Zhu |Shuai Chen |Xiaowen Xie
Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description pol20240725-sup-0001-Supinfo.docxWord 2007 document , 13.8 MB Data S1: Supporting Information. References 1, , , and , “3D-Printed PEDOT:PSS for Soft Robotics,” Nature Reviews Materials 8 (2023): 604–622, https://doi.org/10.1038/s41578-023-00587-5.
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Sep 16, 2024 | 
mdpi.com | Shuai Chen |Jiameng Yang
1. IntroductionChina’s accession to the WTO and the implementation of the “bringing in” policy have continuously improved our country’s level of opening up to the outside world, and the scale of foreign direct investment (FDI) by multinational companies in China has continued to increase.
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Aug 13, 2024 | 
biorxiv.org | Shuai Chen
AbstractMounting evidence showed that the genetic association of ORMDL3 (ORMDL Sphingolipid Biosynthesis Regulator 3) gene polymorphisms with bronchial asthma and various inflammatory disorders. Yet its role in type I interferon (IFN) signaling remains poorly defined.
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Jul 15, 2024 | 
febs.onlinelibrary.wiley.com | Shuai Chen |Shenzhen College
Abbreviations AMD, age-related macular degeneration JNK, c-Jun N-terminal kinase MAPK, mitogen-activated protein kinase RP, retinitis pigmentosa scRNA-seq, single-cell RNA sequencing WT, wild-type Retinitis pigmentosa (RP) is a genetically heterogeneous group of eye diseases that result in progressive vision loss due to the dysfunction and degeneration of photoreceptors [[1]].
