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904 results on '"Chen, Liyuan"'

201. Vaccination against SARS-CoV-2 in UK school-aged children and young people decreases infection rates and reduces COVID-19 symptoms

Author

Molteni, Erika, primary, Canas, Liane S., additional, Kläser, Kerstin, additional, Deng, Jie, additional, Bhopal, Sunil S., additional, Hughes, Robert C., additional, Chen, Liyuan, additional, Murray, Benjamin, additional, Kerfoot, Eric, additional, Antonelli, Michela, additional, Sudre, Carole H., additional, Pujol, Joan Capdevila, additional, Polidori, Lorenzo, additional, May, Anna, additional, Hammers, Alexander, additional, Wolf, Jonathan, additional, Spector, Tim D., additional, Steves, Claire J., additional, Ourselin, Sebastien, additional, Absoud, Michael, additional, Modat, Marc, additional, and Duncan, Emma L., additional

Published
2022
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220. Illness characteristics of COVID-19 in children infected with the SARS-CoV-2 Delta variant

Author

Molteni, Erika, primary, Sudre, Carole H., additional, Canas, Liane S., additional, Bhopal, Sunil S., additional, Hughes, Robert C., additional, Chen, Liyuan, additional, Deng, Jie, additional, Murray, Benjamin, additional, Kerfoot, Eric, additional, Antonelli, Michela, additional, Graham, Mark, additional, Kläser, Kerstin, additional, May, Anna, additional, Hu, Christina, additional, Pujol, Joan Capdevila, additional, Wolf, Jonathan, additional, Hammers, Alexander, additional, Spector, Tim D., additional, Ourselin, Sebastien, additional, Modat, Marc, additional, Steves, Claire J., additional, Absoud, Michael, additional, and Duncan, Emma L., additional

Published
2021
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221. Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2

Author

Molteni, Erika, primary, Sudre, Carole H, additional, Canas, Liane S, additional, Bhopal, Sunil S, additional, Hughes, Robert C, additional, Antonelli, Michela, additional, Murray, Benjamin, additional, Kläser, Kerstin, additional, Kerfoot, Eric, additional, Chen, Liyuan, additional, Deng, Jie, additional, Hu, Christina, additional, Selvachandran, Somesh, additional, Read, Kenneth, additional, Capdevila Pujol, Joan, additional, Hammers, Alexander, additional, Spector, Tim D, additional, Ourselin, Sebastien, additional, Steves, Claire J, additional, Modat, Marc, additional, Absoud, Michael, additional, and Duncan, Emma L, additional

Published
2021
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222. Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app

Author

Klaser, Kerstin, primary, Thompson, Ellen J, additional, Nguyen, Long H, additional, Sudre, Carole H, additional, Antonelli, Michela, additional, Murray, Benjamin, additional, Canas, Liane S, additional, Molteni, Erika, additional, Graham, Mark S, additional, Kerfoot, Eric, additional, Chen, Liyuan, additional, Deng, Jie, additional, May, Anna, additional, Hu, Christina, additional, Guest, Andy, additional, Selvachandran, Somesh, additional, Drew, David A, additional, Modat, Marc, additional, Chan, Andrew T, additional, Wolf, Jonathan, additional, Spector, Tim D, additional, Hammers, Alexander, additional, Duncan, Emma L, additional, Ourselin, Sebastien, additional, and Steves, Claire J, additional

Published
2021
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227. The energy flow and mechanical modeling of soft chemo-mechanical machines.

Author

Chen, Liyuan, Xue, Yaoting, Chen, Weijia, Zhang, Mingqi, Chen, Xiangping, Cao, Xunuo, Zhang, Zhen, Li, Guorui, and Li, Tiefeng

Subjects
*CHEMICAL energy, *MECHANICAL energy, *DEFORMATIONS (Mechanics), *ENERGY consumption, *ENERGY dissipation
Abstract

Soft chemo-mechanical (SCM) machines convert chemical energy into mechanical energy. They have the advantages of fast actuation and compliant deformation and possess wide applications in soft robots and flexible smart devices. Using experiments and theoretical modeling, this paper investigates the chemo-mechanical energy flows and the energy conversion cycle in the pressure and volume (P–V) plane of an SCM machine consisting of a soft membrane and cylindrical chambers. The machine generates 16.1 mJ of mechanical energy per cycle. We study heat dissipation as the key issue affecting the conversion efficiency. The states of the conversion cycle calculated from mechanical modeling fit well with those measured experimentally. The design principles and the theoretical methods can be used to guide the fabrication and characterization of SCM actuators and robots. [ABSTRACT FROM AUTHOR]

Published
2018
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230. Disentangling post-vaccination symptoms from early COVID-19

Author

Canas, Liane S., primary, Österdahl, Marc F., additional, Deng, Jie, additional, Hu, Christina, additional, Selvachandran, Somesh, additional, Polidori, Lorenzo, additional, May, Anna, additional, Molteni, Erika, additional, Murray, Benjamin, additional, Chen, Liyuan, additional, Kerfoot, Eric, additional, Klaser, Kerstin, additional, Antonelli, Michela, additional, Hammers, Alexander, additional, Spector, Tim, additional, Ourselin, Sebastien, additional, Steves, Claire, additional, Sudre, Carole H., additional, Modat, Marc, additional, and Duncan, Emma L., additional

Published
2021
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237. Post-vaccination SARS-CoV-2 infection: risk factors and illness profile in a prospective, observational community-based case-control study

Author

Antonelli, Michela, primary, Penfold, Rose S, additional, Merino, Jordi, additional, Sudre, Carole H, additional, Molteni, Erika, additional, Berry, Sarah, additional, Canas, Liane S, additional, Graham, Mark S, additional, Klaser, Kerstin, additional, Modat, Marc, additional, Murray, Benjamin, additional, Kerfoot, Eric, additional, Chen, Liyuan, additional, Deng, Jie, additional, Österdahl, Marc F, additional, Cheetham, Nathan J, additional, Drew, David, additional, Nguyen, Long, additional, Pujol, Joan Capdevila, additional, Hu, Christina, additional, Selvachandran, Somesh, additional, Polidori, Lorenzo, additional, May, Anna, additional, Wolf, Jonathan, additional, Chan, Andrew T, additional, Hammers, Alexander, additional, Duncan, Emma L, additional, Spector, Tim D, additional, Ourselin, Sebastien, additional, and Steves, Claire J, additional

Published
2021
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239. Illness duration and symptom profile in a large cohort of symptomatic UK school-aged children tested for SARS-CoV-2

Author

Molteni, Erika, primary, Sudre, Carole H., additional, Canas, Liane S., additional, Bhopal, Sunil S., additional, Hughes, Robert C., additional, Antonelli, Michela, additional, Murray, Benjamin, additional, Kläser, Kerstin, additional, Kerfoot, Eric, additional, Chen, Liyuan, additional, Deng, Jie, additional, Hu, Christina, additional, Selvachandran, Somesh, additional, Read, Kenneth, additional, Pujol, Joan Capdevila, additional, Hammers, Alexander, additional, Spector, Tim D., additional, Ourselin, Sebastien, additional, Steves, Claire J., additional, Modat, Marc, additional, Absoud, Michael, additional, and Duncan, Emma L., additional

Published
2021
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242. ReDoSHunter: A Combined Static and Dynamic Approach for Regular Expression DoS Detection

Author

Li, Yeting, Chen, Zixuan, Cao, Jialun, Xu, Zhiwu, Peng, Qiancheng, Chen, Haiming, Chen, Liyuan, Cheung, Shing Chi, Li, Yeting, Chen, Zixuan, Cao, Jialun, Xu, Zhiwu, Peng, Qiancheng, Chen, Haiming, Chen, Liyuan, and Cheung, Shing Chi

Abstract

Regular expression Denial of Service (ReDoS) is a class of algorithmic complexity attacks using the regular expressions (regexes) that cause the typical backtracking-based matching algorithms to run super-linear time. Due to the wide adoption of regexes in computation, ReDoS poses a pervasive and serious security threat. Early detection of ReDoS-vulnerable regexes in software is thus vital. Existing detection approaches mainly fall into two categories: static and dynamic analysis. However, they all suffer from either poor precision or poor recall in the detection of vulnerable regexes. The problem of accurately detecting vulnerable regexes at high precision and high recall remains unsolved. Furthermore, we observed that many ReDoS-vulnerable regex contain more than one vulnerability in reality. Another problem with existing approaches is that they are incapable of detecting multiple vulnerabilities in one regex. To address these two problems, we propose ReDoSHunter, a ReDoS-vulnerable regex detection framework that can effectively pinpoint the multiple vulnerabilities in a vulnerable regex, and generate examples of attack-triggering strings. ReDoSHunter is driven by five vulnerability patterns derived from massive vulnerable regexes. Besides pinpointing vulnerabilities, ReDoSHunter can assess the degree (i.e., exponential or polynomial) of the vulnerabilities detected. Our experiment results show that ReDoSHunter achieves 100% precision and 100% recall in the detection of ReDoS-vulnerable regexes in three large-scale datasets with 37,651 regexes. It significantly outperforms seven state-of-the-art techniques. ReDoSHunter uncovered 28 new ReDoS-vulnerabilities in 26 well-maintained popular projects, resulting in 26 assigned CVEs and 2 fixes. © 2021 by The USENIX Association. All rights reserved.

Published
2021

244. Application of the improved IPO algorithm in electromagnetic scattering

Author

Zijian Zhao, Yang Shenhua, Suo Yongfeng, and Chen Liyuan

Subjects
Radar cross-section, Electromagnetics, Artificial neural network, Computer science, Scattering, Container (abstract data type), Decoupling (cosmology), Physical optics, Algorithm, Initial public offering
Abstract

An Iterative Physical Optics (IPO) algorithm combined with neural network decoupling is proposed to improve the calculation accuracy of electromagnetic scattering from large vessels. Based on the PO (Physical Optics) algorithm, this method mainly considers the self-coupling factor of surface elements in the IPO algorithm, improves the threshold value W method, and finally performs neural network decoupling. The electromagnetic calculation analysis of bulk carriers, container ships, passenger ships and oil tankers shows that the improved IPO algorithm improves the calculation accuracy of Radar Cross Section under the condition of ensuring the calculation speed. threshold value of IPO algorithm to the adaptive

Published
2020

246. Decoction on Major Depressive Disorder based on Network Pharmacology and Molecular Docking

Author

Chen, Liyuan, Ye, Tianyuan, Wang, Xiaolong, Han, Lu, Wang, Tongxing, Qi, Dongmei, and Cheng, Xiaorui

Abstract

Background and Aim: Major Depressive Disorder (MDD) is a common affective disorder. GuiPi decoction (GPD) is used to treat depression in China, Japan, and Korea. However, its effective ingredients and antidepressant mechanisms remain unclear. We attempted to reveal the potential mechanisms of GPD in the treatment of MDD by network pharmacology and molecular docking. In addition, we conducted an enzymatic activity assay to validate the results of molecular docking. Methods: GPD-related compounds and targets, and MDD-related targets were retrieved from databases and literature. The herb-compound-target network was constructed by Cytoscape. The protein- protein interaction network was built using the STRING database to find key targets of GPD on MDD. Enrichment analysis of shared targets was analyzed by MetaCore database to obtain the potential pathway and biological process of GPD on MDD. The main active compounds treating MDD were screened by molecular docking. The PDE4s inhibitors were screened and verified by an enzyme activity assay. Results: GPD contained 1222 ingredients and 190 potential targets for anti-MDD. Possible biological processes regulated by GPD were neurophysiological processes, blood vessel morphogenesis, Camp Responsive Element Modulator (CREM) pathway, and Androgen Receptor (AR) signaling crosstalk in MDD. Potential pathways in MDD associated with GPD include neurotransmission, cell differentiation, androgen signaling, and estrogen signaling. Fumarine, m-cresol, quercetin, betasitosterol, fumarine, taraxasterol, and lupeol in GPD may be the targets of SLC6A4, monoamine oxidase A (MAOA), DRD2, OPRM1, HTR3A, Albumin (ALB), and NTRK1, respectively. The IC50 values of trifolin targeting Phosphodiesterase (PDE) 4A and girinimbine targeting PDE4B1 were 73.79 μM and 31.86 μM, respectively. The IC50 values of girinimbine and benzo[a]carbazole on PDE4B2 were 51.62 μM and 94.61 μM, respectively. Conclusion: Different compounds in GPD may target the same protein, and the same component in GPD can target multiple targets. These results suggest that the effects of GPD on MDD are holistic and systematic, unlike the pattern of one drug-one target.

Published
2023
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247. COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study.

Author

Kläser, Kerstin, Molteni, Erika, Graham, Mark, Canas, Liane S., Österdahl, Marc F., Antonelli, Michela, Chen, Liyuan, Deng, Jie, Murray, Benjamin, Kerfoot, Eric, Wolf, Jonathan, May, Anna, Fox, Ben, Capdevila, Joan, The COVID-19 Genomics U. K. (COG-UK) Consortium, Aanensen, David M., Abudahab, Khalil, Adams, Helen, Adams, Alexander, and Afifi, Safiah

Subjects
SARS-CoV-2, SARS-CoV-2 Delta variant, COVID-19, VACCINE effectiveness, COHORT analysis, FLU vaccine efficacy, MONONUCLEOSIS
Abstract

The Delta (B.1.617.2) variant was the predominant UK circulating SARS-CoV-2 strain between May and December 2021. How Delta infection compares with previous variants is unknown. This prospective observational cohort study assessed symptomatic adults participating in the app-based COVID Symptom Study who tested positive for SARS-CoV-2 from May 26 to July 1, 2021 (Delta overwhelmingly the predominant circulating UK variant), compared (1:1, age- and sex-matched) with individuals presenting from December 28, 2020 to May 6, 2021 (Alpha (B.1.1.7) the predominant variant). We assessed illness (symptoms, duration, presentation to hospital) during Alpha- and Delta-predominant timeframes; and transmission, reinfection, and vaccine effectiveness during the Delta-predominant period. 3581 individuals (aged 18 to 100 years) from each timeframe were assessed. The seven most frequent symptoms were common to both variants. Within the first 28 days of illness, some symptoms were more common with Delta versus Alpha infection (including fever, sore throat, and headache) and some vice versa (dyspnoea). Symptom burden in the first week was higher with Delta versus Alpha infection; however, the odds of any given symptom lasting ≥ 7 days was either lower or unchanged. Illness duration ≥ 28 days was lower with Delta versus Alpha infection, though unchanged in unvaccinated individuals. Hospitalisation for COVID-19 was unchanged. The Delta variant appeared more (1.49) transmissible than Alpha. Re-infections were low in all UK regions. Vaccination markedly reduced the risk of Delta infection (by 69-84%). We conclude that COVID-19 from Delta or Alpha infections is similar. The Delta variant is more transmissible than Alpha; however, current vaccines showed good efficacy against disease. This research framework can be useful for future comparisons with new emerging variants. [ABSTRACT FROM AUTHOR]

Published
2022
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250. Diversity and biogenesis contribution of sulfate-reducing bacteria in arsenic-contaminated soils from realgar deposits.

Author

Zhu, Xianbin, Chen, Liyuan, Pan, Hongzhong, Wang, Lei, Zhang, Xun, and Wang, Dan

Subjects
SULFATE-reducing bacteria, ARSENIC sulfide, SOIL microbiology, SULFUR cycle, BIOGEOCHEMICAL cycles
Abstract

Microbial sulfate reduction, a vital mechanism for microorganisms living in anaerobic, sulfate-rich environments, is an essential aspect of the sulfur biogeochemical cycle. However, there has been no detailed investigation of the diversity and biogenesis contribution of sulfate-reducing bacteria in arsenic-contaminated soils from realgar deposits. To elucidate this issue, soil samples from representative abandoned realgar deposits were collected. Microcosm assays illustrated that all three samples (2–1, 2–2, and 2–3) displayed efficient sulfate and As(V)-respiring activities. Furthermore, a total of 28 novel sequence variants of dissimilatory sulfite reductase genes and 2 new families of dsrAB genes were successfully identified. A novel dissimilatory sulfate-reducing bacterium, Desulfotomaculum sp. JL1, was also isolated from soils, and can efficiently respiratory reduce As(V) and sulfate in 4 and 5 days, respectively. JL1 can promote the generation of yellow precipitates in the presence of multiple electron acceptors (both contain sulfate and As(V) in the cultures), which indicated the biogenesis contribution of sulfate-reducing bacteria to the realgar mine. Moreover, this area had unique microbial communities; the most abundant populations belonged to the phyla Proteobacteria, Chloroflexi, and Acidobacteriota, which were attributed to the unique geochemistry characteristics, such as total organic carbon, total As, NO3−, and SO42−. The results of this study provide new insight into the diversity and biogenesis contributions of sulfate-reducing bacteria in arsenic-contaminated soils from realgar deposits. [ABSTRACT FROM AUTHOR]

Published
2022
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