3,359 results on '"Lin, Lei"'
Search Results
52. Evaluation of RPV closure head penetration integrity considering fitting and residual stresses
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Chen, Mingya, Gao, Hongbo, Sun, Xin, Yu, Weiwei, Wang, Shuiyong, Lin, Lei, Zhao, Wanxiang, Peng, QunJia, and Shi, Fangjie
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- 2024
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53. Intravenous application of human umbilical cord mesenchymal stem cells alleviate neuropathic pain by suppressing microglia activation in rats
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Xu, Xiaodong, Chen, Hui, Qiu, Yubei, Chen, Ye, Liu, Junle, Zeng, Bangwei, Lin, Lei, Lin, Xinyan, Zhang, Leisheng, and Zhang, Liangcheng
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- 2024
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54. Modeling an evaluation of the efficacy of the novel neuroanalgesic drug mirogabalin for diabetic peripheral neuropathic pain and postherpetic neuralgia therapy
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Hong, Li-Mian, Liu, Jian-Min, Lin, Lei, Huang, Chun-Chun, Chen, Rui, and Lin, Wei-Wei
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- 2024
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55. Dynamics optimization of small branch pipes in nuclear power plants based on machine learning algorithms
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Gao, Hongbo, Zhou, Shuai, Lin, Lei, Chen, Zhilin, Xu, Decheng, Li, Changning, and Zhu, XiaoFeng
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- 2024
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56. Determination of seroprevalence and kinetics of humoral response using mpox virus A29 protein
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Cai, Jian-Piao, Chu, Wing-Ming, Tam, Anthony Raymond, Wang, Kun, Han, Yuting, Chen, Lin-Lei, Zhang, Xiaojuan, Choi, Charlotte Yee-Ki, Cheng, Vincent Chi-Chung, Chan, Kwok-Hung, Chen, Zhiwei, Hung, Ivan Fan-Ngai, Fong, Carol Ho-Yan, and To, Kelvin Kai-Wang
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- 2023
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57. Humoral and cellular immunity against different SARS-CoV-2 variants in patients with chronic kidney disease
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Yap, Desmond Yat-Hin, Fong, Carol Ho-Yan, Zhang, Xiaojuan, Ip, Jonathan Daniel, Chan, Wan-Mui, Chu, Allen Wing-Ho, Chen, Lin-Lei, Zhao, Yan, Chan, Brian Pui-Chun, Luk, Kristine Shik, Cheng, Vincent Chi-Chung, Chan, Tak-Mao, and To, Kelvin Kai-Wang
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- 2023
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58. Atrial giant cell myocarditis with preserved left ventricular function: a case report and literature review
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Tang, Yilin, Qi, Lin, Xu, Ling, Lin, Lei, Cai, Junfeng, Shen, Wei, Liu, Yang, and Li, Ming
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- 2023
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59. Polygenic risk-stratified screening for nasopharyngeal carcinoma in high-risk endemic areas of China: a cost-effectiveness study
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Da-Wei Yang, Jacob A. Miller, Wen-Qiong Xue, Minzhong Tang, Lin Lei, Yuming Zheng, Hua Diao, Tong-Min Wang, Ying Liao, Yan-Xia Wu, Xiao-Hui Zheng, Ting Zhou, Xi-Zhao Li, Pei-Fen Zhang, Xue-Yin Chen, Xia Yu, Fugui Li, Mingfang Ji, Ying Sun, Yong-Qiao He, and Wei-Hua Jia
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polygenic risk stratification ,nasopharyngeal carcinoma ,screening ,cost-effectiveness ,modeling study ,Public aspects of medicine ,RA1-1270 - Abstract
BackgroundNasopharyngeal carcinoma (NPC) has an extremely high incidence rate in Southern China, resulting in a severe disease burden for the local population. Current EBV serologic screening is limited by false positives, and there is opportunity to integrate polygenic risk scores for personalized screening which may enhance cost-effectiveness and resource utilization.MethodsA Markov model was developed based on epidemiological and genetic data specific to endemic areas of China, and further compared polygenic risk-stratified screening [subjects with a 10-year absolute risk (AR) greater than a threshold risk underwent EBV serological screening] to age-based screening (EBV serological screening for all subjects). For each initial screening age (30–34, 35–39, 40–44, 45–49, 50–54, 55–59, 60–64, and 65–69 years), a modeled cohort of 100,000 participants was screened until age 69, and then followed until age 79.ResultsAmong subjects aged 30 to 54 years, polygenic risk-stratified screening strategies were more cost-effective than age-based screening strategies, and almost comprised the cost-effectiveness efficiency frontier. For men, screening strategies with a 1-year frequency and a 10-year absolute risk (AR) threshold of 0.7% or higher were cost-effective, with an incremental cost-effectiveness ratio (ICER) below the willingness to pay (¥203,810, twice the local per capita GDP). Specifically, the strategies with a 10-year AR threshold of 0.7% or 0.8% are the most cost-effective strategies, with an ICER ranging from ¥159,752 to ¥201,738 compared to lower-cost non-dominated strategies on the cost-effectiveness frontiers. The optimal strategies have a higher probability (29.4–35.8%) of being cost-effective compared to other strategies on the frontier. Additionally, they reduce the need for nasopharyngoscopies by 5.1–27.7% compared to optimal age-based strategies. Likewise, for women aged 30–54 years, the optimal strategy with a 0.3% threshold showed similar results. Among subjects aged 55 to 69 years, age-based screening strategies were more cost-effective for men, while no screening may be preferred for women.ConclusionOur economic evaluation found that the polygenic risk-stratified screening could improve the cost-effectiveness among individuals aged 30–54, providing valuable guidance for NPC prevention and control policies in endemic areas of China.
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- 2024
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60. Characterizing fitness and immune escape of SARS-CoV-2 EG.5 sublineage using elderly serum and nasal organoid
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Xiaojuan Zhang, Stephanie Joy-Ann Lam, Jonathan Daniel Ip, Carol Ho-Yan Fong, Allen Wing-Ho Chu, Wan-Mui Chan, Yoyo Suet-Yiu Lai, Hoi-Wah Tsoi, Brian Pui-Chun Chan, Lin-Lei Chen, Xinjie Meng, Shuofeng Yuan, Hanjun Zhao, Vincent Chi-Chung Cheng, Jacqueline Kwan Yuk Yuen, Kwok-Yung Yuen, Jie Zhou, and Kelvin Kai-Wang To
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Immunology ,Immune response ,Virology ,Science - Abstract
Summary: SARS-CoV-2 Omicron variant has evolved into sublineages. Here, we compared the neutralization susceptibility and viral fitness of EG.5.1 and XBB.1.9.1. Serum neutralization antibody titer against EG.5.1 was 1.71-fold lower than that for XBB.1.9.1. However, there was no significant difference in virus replication between EG.5.1 and XBB.1.9.1 in human nasal organoids and TMPRSS2/ACE2 over-expressing A549 cells. No significant difference was observed in competitive fitness and cytokine/chemokine response between EG.5.1 and XBB.1.9.1. Both EG.5.1 and XBB.1.9.1 replicated more robustly in the nasal organoid from a younger adult than that from an older adult. Our findings suggest that enhanced immune escape contributes to the dominance of EG.5.1 over earlier sublineages. The combination of population serum susceptibility testing and viral fitness evaluation with nasal organoids may hold promise in risk assessment of upcoming variants. Utilization of serum specimens and nasal organoid derived from older adults provides a targeted risk assessment for this vulnerable population.
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- 2024
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61. Bidirectional modification effects on nonlinear associations of summer temperature and air pollution with first-ever stroke morbidity
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Chenlu Yang, Lin Lei, Yike Li, Cunrui Huang, Kai Chen, and Junzhe Bao
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High temperature ,Air pollution ,Stroke morbidity ,Modification effects ,Environmental pollution ,TD172-193.5 ,Environmental sciences ,GE1-350 - Abstract
High temperature and air pollution may induce stroke morbidity. However, whether associations between high temperature and air pollution with stroke morbidity are modified by each other is still unclear. Data on 23,578 first-ever stroke patients in Shenzhen, China, during the summers of 2014–2018 were collected. Distributed lag nonlinear models were used to assess the modifying effects of air pollution stratified by the median for the associations between summer temperature and stroke morbidity at 0–3 lag days; modifying effects of temperature stratified by the minimum morbidity temperature on the associations between air pollution and stroke morbidity at the same lags were also estimated. The attributable risks of high temperature and high pollution on stroke morbidity were quantified. Stratified analyses of gender, age, migration type, and complication type were conducted to assess vulnerable population characteristics. Summer high temperature may induce stroke morbidity at high-level PM2.5, PM10, O3, SO2, and NO2 conditions, with attributable fraction (AF) of 2.982% (95% empirical confidence interval [eCI]: 0.943, 4.929), 3.113% (0.948, 5.200), 2.841% (0.943, 4.620), 3.617% (1.539, 5.470), and 2.048% (0.279, 3.637), respectively. High-temperature effects were statistically insignificant at corresponding low-level air pollution conditions. High-level PM2.5, PM10, and O3 may induce stroke morbidity at high-temperature conditions, with AF of 3.664% (0.036, 7.196), 4.129% (0.076, 7.963), and 4.574% (1.009, 7.762), respectively. High-level PM2.5, PM10, and O3 were not associated with stroke morbidity at low-temperature conditions. The effects of high temperature and high pollution on stroke morbidity were statistically significant among immigrants and patients with hypertension, dyslipidemia, or diabetes but insignificant among natives and patients without complications. The associations of summer temperature and air pollution with first-ever stroke morbidity may be enhanced bidirectionally. Publicity on the health risks of combined high temperature and high pollution events should be strengthened to raise protection awareness of relevant vulnerable populations.
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- 2024
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62. Tailoring the composition, antioxidant activity, and prebiotic potential of apple peel by Aspergillus oryzae fermentation
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Jianting Li, Fayin Ye, Yun Zhou, Lin Lei, Jia Chen, Sheng Li, and Guohua Zhao
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Dietary fiber ,Polyphenols ,Pectin substances ,Gut microbiota ,Short chain fatty acid ,Nutrition. Foods and food supply ,TX341-641 ,Food processing and manufacture ,TP368-456 - Abstract
Apple peel is a typical lignocellulosic food by-product rich in functional components. In this work, apple peel was solid-state fermented with Aspergillus oryzae with an aim to modulate its composition and bioactivity. The results showed that A. oryzae fermentation substantially tailored the composition, improved the antioxidant activity and prebiotic potential of apple peel. Upon the fermentation, 1) free phenolics increased and antioxidant activity improved; 2) the pectin substances degraded significantly, along with a decrease in soluble dietary fiber while an increase in insoluble dietary fiber; 3) the in vitro fermentability increased as indicated by the increase in total acid production. The gut microbiota was shaped with more health-promoting potentials, such as higher abundances of Lactobacillus, Bifidobacterium, Megamonas and Prevotella-9 as well as lower abundances of Enterobacter and Echerichia-Shigella. This work is conducive to the modification of apple peel as a potential ingredient in food formulations.
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- 2024
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63. Effective Guidance in Zero-Shot Multilingual Translation via Multiple Language Prototypes
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Zheng, Yafang, primary, Lin, Lei, additional, Yuan, Yuxuan, additional, and Shi, Xiaodong, additional
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- 2023
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64. Robust Ensembling Network for Unsupervised Domain Adaptation
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Sun, Han, Lin, Lei, Liu, Ningzhong, and Zhou, Huiyu
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Recently, in order to address the unsupervised domain adaptation (UDA) problem, extensive studies have been proposed to achieve transferrable models. Among them, the most prevalent method is adversarial domain adaptation, which can shorten the distance between the source domain and the target domain. Although adversarial learning is very effective, it still leads to the instability of the network and the drawbacks of confusing category information. In this paper, we propose a Robust Ensembling Network (REN) for UDA, which applies a robust time ensembling teacher network to learn global information for domain transfer. Specifically, REN mainly includes a teacher network and a student network, which performs standard domain adaptation training and updates weights of the teacher network. In addition, we also propose a dual-network conditional adversarial loss to improve the ability of the discriminator. Finally, for the purpose of improving the basic ability of the student network, we utilize the consistency constraint to balance the error between the student network and the teacher network. Extensive experimental results on several UDA datasets have demonstrated the effectiveness of our model by comparing with other state-of-the-art UDA algorithms., Comment: 14 pages, 4 figures. accepted by PRICA-2021. code: https://github.com/1003389754/REN
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- 2021
65. MDQE: A More Accurate Direct Pretraining for Machine Translation Quality Estimation
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Lin, Lei
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Computer Science - Computation and Language - Abstract
It is expensive to evaluate the results of Machine Translation(MT), which usually requires manual translation as a reference. Machine Translation Quality Estimation (QE) is a task of predicting the quality of machine translations without relying on any reference. Recently, the emergence of predictor-estimator framework which trains the predictor as a feature extractor and estimator as a QE predictor, and pre-trained language models(PLM) have achieved promising QE performance. However, we argue that there are still gaps between the predictor and the estimator in both data quality and training objectives, which preclude QE models from benefiting from a large number of parallel corpora more directly. Based on previous related work that have alleviated gaps to some extent, we propose a novel framework that provides a more accurate direct pretraining for QE tasks. In this framework, a generator is trained to produce pseudo data that is closer to the real QE data, and a estimator is pretrained on these data with novel objectives that are the same as the QE task. Experiments on widely used benchmarks show that our proposed framework outperforms existing methods, without using any pretraining models such as BERT., Comment: Just some ideas of my own, not supported by experiments
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- 2021
66. The role of physical activity on healthcare utilization in China
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Xiao-Lin Lei, Ke Gao, Huan Wang, Wei Chen, Gen-Rui Chen, and Xing Wen
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Physical activity ,Healthcare utilization ,Healthcare expenditure ,Catastrophic health expenditures ,Public health ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Evidence on the role of physical activity (PA) on healthcare utilization and expenditure is limited in China. We aimed to examine the association between the total physical activity (TPA) per week, healthcare service use and expenditure. Methods We extracted the data from China Health and Retirement Longitudinal Study (CHARLS) 2011, 2013, and 2015. Participants more than 50 years old who completed the follow-up for the three waves were enrolled. We converted the volume of vigorous physical activity (VPA) into an equivalent volume of moderate physical activity (MPA) and calculated the TPA per week for each participant. 12,927 of the 17,708 participants in CHARLS were included in our analysis. More than one-third of participants over 50 years old never participate in any moderate or intensity activity, and the median of self-reported moderate or intensity PA was about 525 (IQR 0–1680) MET-minutes per week in 2015. Results Compared to inactive subjects, the highest level of TPA was significantly related to the decreased risk number of inpatient visits (IRR: 0.58; 95% CI:0.50–0.67, p
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- 2023
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67. Determination of seroprevalence and kinetics of humoral response using mpox virus A29 protein
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Jian-Piao Cai, Wing-Ming Chu, Anthony Raymond Tam, Kun Wang, Yuting Han, Lin-Lei Chen, Xiaojuan Zhang, Charlotte Yee-Ki Choi, Vincent Chi-Chung Cheng, Kwok-Hung Chan, Zhiwei Chen, Ivan Fan-Ngai Hung, Carol Ho-Yan Fong, and Kelvin Kai-Wang To
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Medicine - Abstract
Abstract Background Mpox virus (MPXV), previously known as monkeypox virus, has spread globally in 2022. An accurate and convenient antibody test is essential for the determination of seroprevalence and for studying immune response after natural infection or vaccination. Most seroprevalence or vaccine studies used either live MPXV (or vaccinia virus [VACV]) or inactivated MPXV (or VACV) culture lysate for serological assays, but MPXV culture can only be performed in biosafety level 3 (BSL-3) facilities. Here, we developed and evaluated an enzyme immunoassay (EIA) based on the MPXV A29 surface envelope protein. Methods We compared the specificity of the MPXV A29, VACV A27, and VACV lysate EIA using serum specimens collected prior to the global spread of MPXV. Next, we performed these EIAs for serum specimens collected from two mpox patients and an MVA-BN vaccine recipient. We also assessed the kinetics of plasmblast and MPXV A29-specific B-cell response. Results Using sera collected from different age groups in Hong Kong, we found that most individuals, including those born before 1981 who have received the smallpox vaccine, tested negative using the MPXV A29 protein. MPXV A29-specific antibody could be detected in the serum of mpox patients and an MVA-BN recipient. In a mpox patient, the frequency of plasmablast and MPXV A29-specific B cell peaked on day 8 post-symptom onset and gradually decreased. Finally, we demonstrated that antibodies against the A29 protein can be used for immunofluorescence staining of MPXV-infected cells. Conclusions MPXV A29 protein is suitable for studying the immune response against MPXV infection.
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- 2023
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68. Humoral and cellular immunity against different SARS-CoV-2 variants in patients with chronic kidney disease
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Desmond Yat-Hin Yap, Carol Ho-Yan Fong, Xiaojuan Zhang, Jonathan Daniel Ip, Wan-Mui Chan, Allen Wing-Ho Chu, Lin-Lei Chen, Yan Zhao, Brian Pui-Chun Chan, Kristine Shik Luk, Vincent Chi-Chung Cheng, Tak-Mao Chan, and Kelvin Kai-Wang To
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Medicine ,Science - Abstract
Abstract Chronic kidney disease (CKD) patients are at higher risk of severe COVID-19. Humoral and cellular immunity from prior infection or vaccination are important for protection, but the neutralizing antibody (nAb) response against SARS-CoV-2 variants is impaired. We investigated the variant-specific nAb and T cell immunity among CKD patients. Adult CKD patients were recruited between August and October 2022. nAb against the SARS-CoV-2 (ancestral strains and four Omicron sublineages) and T cell response were measured using the live virus neutralization assay and interferon-gamma release assay (IGRA). The correlation between nAb/T-cell response and subsequent infection after recruitment were also determined. Among the 88 recruited patients, 95.5% had prior infection or had completed the primary vaccine series. However, only 77.3% had detectable nAb against at least one SARS-CoV-2 strains, 59.1% tested positive in IGRA, and 52.3% had detectable nAb and tested positive in the IGRA. The nAb geometic mean titers (GMTs) against XBB.1, BA.5 and BA.2.3.20 were significantly lower than those against BA.2 and ancestral strain. Prior SARS-CoV-2 infection was associated with elevated nAb and T cell response. More kidney transplant recipients (KTRs) showed absent nAb and T cell response (36.8% vs. 10.1%), despite a higher prevalence of vaccine booster in this population (94.7% vs. 50.7%). Lower levels of nAb titer and T cell response were significantly associated with subsequent infection. A considerable proportion of CKD patients, especially KTRs, showed absence of humoral and cellular protective immunity against SARS-CoV-2. Strategies to improve immunogenicity in this population are urgently needed.
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- 2023
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69. β-hydroxybutyrate impairs the directionality of migrating neutrophils through inhibiting the autophagy-dependent degradation of Cdc42 and Rac1 in ketotic cows
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Yuchen Yang, Shang Jiang, Jing Yang, Xiancheng Feng, Chao Wang, Kexin Wang, Wenwen Gao, Xiliang Du, Lin Lei, Zhe Wang, Guowen Liu, Yuxiang Song, and Xinwei Li
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ketosis ,immunosuppression ,β-hydroxybutyrate ,neutrophil ,migration directionality ,Dairy processing. Dairy products ,SF250.5-275 ,Dairying ,SF221-250 - Abstract
ABSTRACT: Dairy cows have high incidence of ketosis during perinatal. According to our previous studies, elevated ketone bodies (mainly β-hydroxybutyrate, BHB) in the peripheral blood are believed to contribute to the impairment of neutrophils mobility and directionality thereby contributing to the immunosuppression and further infectious disease secondary to ketosis. However, the specific effect of BHB on the directionality of bovine neutrophils needs further study and the underlying molecular mechanisms are still unclear. According to the concentration of serum BHB, 40 multiparous cows (within 3 wk postpartum) were selected and divided into the control (n = 20, BHB 3.0 mM) group. Blood samples were collected for baseline serum characteristics analysis and neutrophil mobility and directionality detection. Platelet activation factor was used as a chemoattractant in cell migration experiments. Our ex-vivo data showed ketotic cows, compared with control cows, were in a negative energy balance state, and their neutrophils had shorter migration distance, lower migration speed, and impaired migration directionality. Neutrophils from control cows were incubated with 3.0 mM BHB for 6 h in vitro. Similarly, BHB stimulation resulted in impaired mobility and directionality of bovine neutrophils. We further specifically studied the underlying molecular mechanism of BHB regulating neutrophil migration directionality in the present study. Cell division control protein 42 homolog (Cdc42) and Ras-related C3 botulinum toxin substrate 1 (Rac1), 2 key markers in the regulation of migration directionality, were found increased after BHB treatment in their total and activated protein levels while decreasing in their transcription level, suggesting that an imbalance of the protein degradation system may be involved. Interestingly, transmission electron microscopy data revealed a decrease in autophagosome number in neutrophils from ketotic cows. Western blotting data showed the accumulation of sequestosome-1 (p62) protein and a decrease in microtubule-associated protein 1 light chain 3-II (LC3-II) protein abundance after BHB treatment, further confirming that the autophagy flux was inhibited in neutrophils from ketotic cows. Additionally, rapamycin (RAPA), a specific autophagy activator, was used with or without BHB treatment in vitro. Accordingly, the BHB-induced impairment of migration directionality but not mobility was relieved by RAPA. Furthermore, as verified by in vivo experiments, compared with the control cows, the protein abundance of total and activated Cdc42 and Rac1 increased and their mRNA abundance decreased in neutrophils from ketotic cows. Overall, the present study revealed that pathological concentration of BHB impairs neutrophil migration directionality through inhibiting the autophagy-mediated degradation of Cdc42 and Rac1. These findings help explain the immunosuppression caused by ketosis.
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- 2023
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70. Simulation analysis and evaluation of decontamination effect of different abrasive jet process parameters on radioactively contaminated metal
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Lin Zhong, Jian Deng, Zhe-wen Zuo, Can-yu Huang, Bo Chen, Lin Lei, Ze-yong Lei, Jie-heng Lei, Mu Zhao, and Yun-fei Hua
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Radioactivity ,Decontamination ,Abrasive jet ,CFD-DEM ,Coverage ,Nuclear engineering. Atomic power ,TK9001-9401 - Abstract
A new method of numerical simulating prediction and decontamination effect evaluation for abrasive jet decontamination to radioactively contaminated metal is proposed. Based on the Computational Fluid Dynamics and Discrete Element Model (CFD-DEM) coupled simulation model, the motion patterns and distribution of abrasives can be predicted, and the decontamination effect can be evaluated by image processing and recognition technology. The impact of three key parameters (impact distance, inlet pressure, abrasive mass flow rate) on the decontamination effect is revealed. Moreover, here are experiments of reliability verification to decontamination effect and numerical simulation methods that has been conducted. The results show that: 60Co and other homogeneous solid solution radioactive pollutants can be removed by abrasive jet, and the average removal rate of Co exceeds 80%. It is reliable for the proposed numerical simulation and evaluation method because of the well goodness of fit between predicted value and actual values: The predicted values and actual values of the abrasive distribution diameter are Ф57 and Ф55; the total coverage rate is 26.42% and 23.50%; the average impact velocity is 81.73 m/s and 78.00 m/s. Further analysis shows that the impact distance has a significant impact on the distribution of abrasive particles on the target surface, the coverage rate of the core area increases at first, and then decreases with the increase of the impact distance of the nozzle, which reach a maximum of 14.44% at 300 mm. It is recommended to set the impact distance around 300 mm, because at this time the core area coverage of the abrasive is the largest and the impact velocity is stable at the highest speed of 81.94 m/s. The impact of the nozzle inlet pressure on the decontamination effect mainly affects the impact kinetic energy of the abrasive and has little impact on the distribution. The greater the inlet pressure, the greater the impact kinetic energy, and the stronger the decontamination ability of the abrasive. But in return, the energy consumption is higher, too. For the decontamination of radioactively contaminated metals, it is recommended to set the inlet pressure of the nozzle at around 0.6 MPa. Because most of the Co elements can be removed under this pressure. Increasing the mass and flow of abrasives appropriately can enhance the decontamination effectiveness. The total mass of abrasives per unit decontamination area is suggested to be 50 g because the core area coverage rate of the abrasive is relatively large under this condition; and the nozzle wear extent is acceptable.
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- 2023
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71. Permeability evolution mechanism and the optimum permeability determination of uranium leaching from low-permeability sandstone treated with low-frequency vibration
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Yong Zhao, Xiqi Li, Lin Lei, Ling Chen, and Zhiping Luo
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Low-frequency vibration ,Low-permeability sandstone ,Uranium migration ,Permeability evolution mechanism, Chemical reactive rate ,Optimum permeability ,Engineering geology. Rock mechanics. Soil mechanics. Underground construction ,TA703-712 - Abstract
Low-frequency vibrations can effectively improve natural sandstone permeability, and higher vibration frequency is associated with larger permeability. However, the optimum permeability and permeability evolution mechanism for uranium leaching and the relationship between permeability and the change of chemical reactive rate affecting uranium leaching have not been determined. To solve the above problems, in this study, identical homogeneous sandstone samples were selected to simulate low-permeability sandstone; a permeability evolution model considering the combined action of vibration stress, pore water pressure, water flow impact force, and chemical erosion was established; and vibration leaching experiments were performed to test the model accuracy. Both the permeability and chemical reactions were found to simultaneously restrict U6+ leaching, and the vibration treatment increased the permeability, causing the U6+ leaching reaction to no longer be diffusion-constrained but to be primarily controlled by the reaction rate. Changes of the model calculation parameters were further analyzed to determine the permeability evolution mechanism under the influence of vibration and chemical erosion, to prove the correctness of the mechanism according to the experimental results, and to develop a new method for determining the optimum permeability in uranium leaching. The uranium leaching was found to primarily follow a process consisting of (1) a permeability control stage, (2) achieving the optimum permeability, (3) a chemical reactive rate control stage, and (4) a channel flow stage. The resolution of these problems is of great significance for facilitating the application and promotion of low-frequency vibration in the CO2 + O2 leaching process.
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- 2023
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72. Characterizing fitness and immune escape of SARS-CoV-2 EG.5 sublineage using elderly serum and nasal organoid
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Zhang, Xiaojuan, Lam, Stephanie Joy-Ann, Ip, Jonathan Daniel, Fong, Carol Ho-Yan, Chu, Allen Wing-Ho, Chan, Wan-Mui, Lai, Yoyo Suet-Yiu, Tsoi, Hoi-Wah, Chan, Brian Pui-Chun, Chen, Lin-Lei, Meng, Xinjie, Yuan, Shuofeng, Zhao, Hanjun, Cheng, Vincent Chi-Chung, Yuen, Jacqueline Kwan Yuk, Yuen, Kwok-Yung, Zhou, Jie, and To, Kelvin Kai-Wang
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- 2024
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73. Fe single atoms encapsulated in N, P-codoped carbon nanosheets with enhanced peroxidase-like activity for colorimetric detection of methimazole
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Zhang, Rui, Mao, Yan-Wen, Li, Jia-Qi, Ni, Ling-Jie, Lin, Lei, Wang, Ai-Jun, Feng, Jiu-Ju, Cheang, Tuck Yun, and Zhou, Hongyan
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- 2024
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74. TET3 gene rs828867 G>A polymorphism reduces neuroblastoma risk in Chinese children
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Zhang, Xinxin, Wang, Bo, Lin, Lei, Zhou, Chunlei, Zhu, Jinhong, Wu, Haiyan, and He, Jing
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- 2024
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75. Partial organic substitution for synthetic fertilizer improves soil fertility and crop yields while mitigating N2O emissions in wheat-maize rotation system
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Wu, Gong, Yang, Shuo, Luan, Chong-sheng, Wu, Qi, Lin, Lei-li, Li, Xiao-xiao, Che, Zhao, Zhou, De-bao, Dong, Zhao-rong, and Song, He
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- 2024
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76. Neural Process for Black-Box Model Optimization Under Bayesian Framework
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Shangguan, Zhongkai, Lin, Lei, Wu, Wencheng, and Xu, Beilei
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Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Systems and Control - Abstract
There are a large number of optimization problems in physical models where the relationships between model parameters and outputs are unknown or hard to track. These models are named as black-box models in general because they can only be viewed in terms of inputs and outputs, without knowledge of the internal workings. Optimizing the black-box model parameters has become increasingly expensive and time consuming as they have become more complex. Hence, developing effective and efficient black-box model optimization algorithms has become an important task. One powerful algorithm to solve such problem is Bayesian optimization, which can effectively estimates the model parameters that lead to the best performance, and Gaussian Process (GP) has been one of the most widely used surrogate model in Bayesian optimization. However, the time complexity of GP scales cubically with respect to the number of observed model outputs, and GP does not scale well with large parameter dimension either. Consequently, it has been challenging for GP to optimize black-box models that need to query many observations and/or have many parameters. To overcome the drawbacks of GP, in this study, we propose a general Bayesian optimization algorithm that employs a Neural Process (NP) as the surrogate model to perform black-box model optimization, namely, Neural Process for Bayesian Optimization (NPBO). In order to validate the benefits of NPBO, we compare NPBO with four benchmark approaches on a power system parameter optimization problem and a series of seven benchmark Bayesian optimization problems. The results show that the proposed NPBO performs better than the other four benchmark approaches on the power system parameter optimization problem and competitively on the seven benchmark problems., Comment: This paper has been accepted to AAAI-MLPS 2021
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- 2021
77. Modified Method for Nanothin Descemet Stripping Automated Endothelial Keratoplasty
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Zhao, Zelin, Lin, Lei, Zhou, Weihe, Chen, Jiaqi, Xiao, Yinling, Jhanji, Vishal, Liu, Yang, Zheng, Qinxiang, and Chen, Wei
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- 2024
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78. Leveraging Visual Language Model and Generative Diffusion Model for Zero-Shot SAR Target Recognition
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Junyu Wang, Hao Sun, Tao Tang, Yuli Sun, Qishan He, Lin Lei, and Kefeng Ji
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SAR simulation ,target recognition ,visual language model ,generative diffusion model ,domain adaption ,Science - Abstract
Simulated data play an important role in SAR target recognition, particularly under zero-shot learning (ZSL) conditions caused by the lack of training samples. The traditional SAR simulation method is based on manually constructing target 3D models for electromagnetic simulation, which is costly and limited by the target’s prior knowledge base. Also, the unavoidable discrepancy between simulated SAR and measured SAR makes the traditional simulation method more limited for target recognition. This paper proposes an innovative SAR simulation method based on a visual language model and generative diffusion model by extracting target semantic information from optical remote sensing images and transforming it into a 3D model for SAR simulation to address the challenge of SAR target recognition under ZSL conditions. Additionally, to reduce the domain shift between the simulated domain and the measured domain, we propose a domain adaptation method based on dynamic weight domain loss and classification loss. The effectiveness of semantic information-based 3D models has been validated on the MSTAR dataset and the feasibility of the proposed framework has been validated on the self-built civilian vehicle dataset. The experimental results demonstrate that the first proposed SAR simulation method based on a visual language model and generative diffusion model can effectively improve target recognition performance under ZSL conditions.
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- 2024
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79. Research Progress on the Role of M6A in Regulating Economic Traits in Livestock
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Tuanhui Ren, Meng Xu, Xinyu Du, Yanxi Wang, Juan J. Loor, Lin Lei, Wenwen Gao, Xiliang Du, Yuxiang Song, Guowen Liu, and Xinwei Li
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m6A methylation ,methyltransferases ,livestock ,growth and development ,reproductive traits ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
Reversible regulation of N6-methyladenosine (m6A) methylation of eukaryotic RNA via methyltransferases is an important epigenetic event affecting RNA metabolism. As such, m6A methylation plays crucial roles in regulating animal growth, development, reproduction, and disease progression. Herein, we review the latest research advancements in m6A methylation modifications and discuss regulatory aspects in the context of growth, development, and reproductive traits of livestock. New insights are highlighted and perspectives for the study of m6A methylation modifications in shaping economically important traits are discussed.
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- 2024
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80. ERNIE-AT-CEL: A Chinese Few-Shot Emerging Entity Linking Model Based on ERNIE and Adversarial Training
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Zhou, Hongyu, Sun, Chengjie, Lin, Lei, Shan, Lili, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Fei, editor, Duan, Nan, editor, Xu, Qingting, editor, and Hong, Yu, editor
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- 2023
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81. A Novel POS-Guided Data Augmentation Method for Sign Language Gloss Translation
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Liu, Shan, Zheng, Yafang, Lin, Lei, Chen, Yidong, Shi, Xiaodong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Fei, editor, Duan, Nan, editor, Xu, Qingting, editor, and Hong, Yu, editor
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- 2023
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82. Feasibility Study of Predicting Plane Electromagnetic Field Data Above Hydraulic Fracturing Based on Neural Network
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Wu, Yu-han, Li, Wei-qin, Liu, Chang-min, Wang, Wang-jiang, Lin, Lei, Peng, Meng, Zhang, Guo-hui, Ma, Yan-qi, Zhong, Lian-cheng, Wu, Wei, Series Editor, and Lin, Jia’en, editor
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- 2023
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83. Study on Surface Electromagnetic Wave Transmission Properties Based on Logging While Drilling
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Wang, Wan-jiang, Li, Wei-qin, Wu, Yu-han, Liu, Chang-min, Ma, Yan-qi, Lin, Lei, Peng, Meng, Zhang, Guo-hui, Zhong, Lian-cheng, Wu, Wei, Series Editor, and Lin, Jia’en, editor
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- 2023
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84. Feasibility Study of Deep Neural Network for the Inversion of MCSEM Data Based on FDIE
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Ma, Yan-qi, Li, Wei-qin, Wu, Yu-han, Liu, Chang-min, Wang, Wan-jiang, Lin, Lei, Peng, Meng, Zhang, Guo-hui, Zhong, Lian-cheng, Wu, Wei, Series Editor, and Lin, Jia’en, editor
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- 2023
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85. Feasibility Study of Using Electromagnetic Data to Predict the Position of Anomalous Body Based on Neural Network
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Zhong, Lian-cheng, Li, Wei-qin, Wu, Yu-han, Liu, Chang-min, Wang, Wan-jiang, Lin, Lei, Peng, Meng, Zhang, Guo-hui, Ma, Yan-qi, Wu, Wei, Series Editor, and Lin, Jia’en, editor
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- 2023
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86. Environmentally-Assisted Fatigue Study of Charging Nozzle Under Multiaxial Stress History Based on Fluid-Solid Interaction Method
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Gao, Hongbo, Yu, Min, Zhou, Runfa, Chen, Mingya, Lin, Lei, Xu, Decheng, Zhou, Shuai, and Liu, Chengmin, editor
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- 2023
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87. Design and Research of Economics Online Learning Platform Based on Java Language Environment
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Lin, Lei, Li, Kan, Editor-in-Chief, Li, Qingyong, Associate Editor, Fournier-Viger, Philippe, Series Editor, Hong, Wei-Chiang, Series Editor, Liang, Xun, Series Editor, Wang, Long, Series Editor, Xu, Xuesong, Series Editor, Fox, Bob, editor, Zhao, Chuan, editor, and Anthony, Marcus T., editor
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- 2023
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88. Verteporfin regulates corneal neovascularization through inhibition of YAP protein activation
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Lin, Lei, Zheng, Yu, Li, Qiyuan, Sun, Yining, Huang, Yiwen, Liang, Lili, Xu, Liming, and Zhao, Yun-e
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- 2024
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89. Anchoring effect, prospect value and stock return
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Chen, Chun, He, Fangyi, and Lin, Lei
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- 2024
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90. Accuracy of newer generation intraocular lens power calculation formulas in pediatric cataract patients
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Lin, Lei, Fang, Jiayan, Sun, Weijie, Gu, Siyi, Xu, Liming, Chen, Siping, Chang, Pingjun, and Zhao, Yun-e
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- 2023
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91. Efficient electrospray deposition of surfaces smaller than the spray plume
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Sarah H. Park, Lin Lei, Darrel D’Souza, Robert Zipkin, Emily T. DiMartini, Maria Atzampou, Emran O. Lallow, Jerry W. Shan, Jeffrey D. Zahn, David I. Shreiber, Hao Lin, Joel N. Maslow, and Jonathan P. Singer
- Subjects
Science - Abstract
Abstract Electrospray deposition (ESD) is a promising technique for depositing micro-/nano-scale droplets and particles with high quality and repeatability. It is particularly attractive for surface coating of costly and delicate biomaterials and bioactive compounds. While high efficiency of ESD has only been successfully demonstrated for spraying surfaces larger than the spray plume, this work extends its utility to smaller surfaces. It is shown that by architecting the local “charge landscape”, ESD coatings of surfaces smaller than plume size can be achieved. Efficiency approaching 100% is demonstrated with multiple model materials, including biocompatible polymers, proteins, and bioactive small molecules, on both flat and microneedle array targets. UV-visible spectroscopy and high-performance liquid chromatography measurements validate the high efficiency and quality of the sprayed material. Here, we show how this process is an efficient and more competitive alternative to other conformal coating mechanisms, such as dip coating or inkjet printing, for micro-engineered applications.
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- 2023
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92. Glycolic acid-based deep eutectic solvents boosting co-production of xylo-oligomers and fermentable sugars from corncob and the related kinetic mechanism
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Hai-Qing Deng, Xiao-Hui Lin, Jun-Tao Fan, Ping-Zhang Fu, Jia-Jun Guan, Han-Lin Lei, Li-Hao Liu, Lin-Hao Lai, Xue-Dan Hou, and Wen-Yong Lou
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Corncob ,Deep eutectic solvents ,Xylo-oligomers ,Metal ions ,Kinetic mechanism ,Biotechnology ,TP248.13-248.65 ,Fuel ,TP315-360 - Abstract
Abstract Background Xylo-oligomers are a kind of high value-added products in biomass fractionation. Although there are several chemical methods to obtain xylo-oligomers from biomass, the reports about the deep eutectic solvents (DESs)-mediated co-production of xylo-oligomers and fermentable sugars and the related kinetic mechanism are limited. Results In this work, glycolic acid-based DESs were used to obtain xylo-oligomers from corncob. The highest xylo-oligomers yield of 65.9% was achieved at 120 °C for 20 min, of which the functional xylo-oligosaccharides (XOSs, DP 2–5) accounted for up to 31.8%. Meanwhile, the enzymatic digestion of cellulose and xylan in residues reached 81.0% and 95.5%, respectively. Moreover, the addition of metal inorganic salts significantly accelerated the hydrolysis of xylan and even the degradation of xylo-oligomers in DES, thus resulting in higher selectivity of xylan removal. AlCl3 showed the strongest synergistic effect with DES on accelerating the processes, while FeCl2 is best one for xylo-oligomers accumulation, affording the highest xylo-oligomers yield of 66.1% for only 10 min. Furthermore, the kinetic study indicates that the ‘potential hydrolysis degree’ model could well describe the xylan hydrolysis processes and glycolic acid/lactic acid (3:1) is a promising solvent for xylo-oligomers production, in particular, it worked well with FeCl2 for the excellent accumulation of xylo-oligomers. Conclusions Glycolic acid-based deep eutectic solvents can be successfully applied in corncob fractionation with excellent xylo-oligomers and fermentable sugars yields on mild conditions, and the large amount of xylo-oligosaccharides accumulation could be achieved by specific process controlling. The strategies established here can be useful for developing high-valued products from biomass.
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- 2023
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93. AdipoRon alleviates fatty acid–induced lipid accumulation and mitochondrial dysfunction in bovine hepatocytes by promoting autophagy
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Chenchen Zhao, Bing Wu, Jinxia Li, Qianming Jiang, Juan J. Loor, Menglin Liu, Linfang Chen, Yiwei Zhu, Wenwen Gao, Xiliang Du, Yuxiang Song, Guowen Liu, Lin Lei, and Xinwei Li
- Subjects
AdipoRon ,nonesterified fatty acids ,autophagy ,lipid accumulation ,mitochondrial dysfunction ,Dairy processing. Dairy products ,SF250.5-275 ,Dairying ,SF221-250 - Abstract
ABSTRACT: During the transition period in dairy cows, high circulating concentrations of nonesterified fatty acids (NEFA) increase hepatic lipid deposits and are considered a major pathological factor for liver damage. We investigated whether AdipoRon, a synthetic small-molecule agonist of adiponectin receptors 1 and 2 shown to prevent liver lipid accumulation in nonruminants, could alleviate NEFA-induced lipid accumulation and mitochondrial dysfunction. Bovine hepatocytes were isolated from 5 healthy Holstein female newborn calves (1 d of age, 30–40 kg, fasting), and independently isolated hepatocytes from at least 3 different calves were used for each subsequent experiment. The composition and concentration of NEFA used in this study were selected according to hematological criteria of dairy cows with fatty liver or ketosis. First, hepatocytes were cultured with various concentrations of NEFA (0, 0.6, 1.2, or 2.4 mM) for 12 h. In a second experiment, hepatocytes were treated with AdipoRon at different concentrations (0, 5, 25, or 50 μM for 12 h) and times (25 μM for 0, 6, 12, or 24 h) with or without NEFA (1.2 mM) treatment. In the last experiment, hepatocytes were treated with AdipoRon (25 μM), NEFA (1.2 mM), or both for 12 h after treatment with or without the autophagy inhibitor chloroquine. Hepatocytes treated with NEFA had increased protein abundance of sterol regulatory element-binding protein 1c (SREBP-1c) and mRNA abundance of acetyl-CoA carboxylase 1 (ACACA), and decreased protein abundance of peroxisome proliferator-activated receptor α (PPARA), proliferator-activated receptor gamma coactivator-1 α (PGC-1α), mitofusin 2 (MFN2), cytochrome c oxidase subunit IV (COX IV), and mRNA abundance of carnitine palmitoyltransferase 1A (CPT1A), along with lower ATP concentrations. AdipoRon treatment reversed these effects, suggesting this compound had a positive effect on lipid metabolism and mitochondrial dysfunction during the NEFA challenge. In addition, upregulated expression of microtubule-associated protein 1 light chain 3-II (LC3-II, encoded by MAP1LC3) and downregulated expression of sequestosome-1 (SQSTM1, also called p62) indicated that AdipoRon enhanced autophagic activity in hepatocytes. The fact that chloroquine impeded the beneficial effects of AdipoRon on lipid accumulation and mitochondrial dysfunction suggested a direct role for autophagy during NEFA challenge. Our results suggest that autophagy is an important cellular mechanism to prevent NEFA-induced lipid accumulation and mitochondrial dysfunction in bovine hepatocytes, which is consistent with other studies. Overall, AdipoRon may represent a promising therapeutic agent to maintain hepatic lipid homeostasis and mitochondrial function in dairy cows during the transition period.
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- 2023
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94. Low abundance of insulin-induced gene 1 contributes to SREBP-1c processing and hepatic steatosis in dairy cows with severe fatty liver
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Yiwei Zhu, Lin Lei, Xinghui Wang, Qianming Jiang, Juan J. Loor, Fanrong Kong, Linfang Chen, Jinxia Li, Chenchen Zhao, Menglin Liu, Guowen Liu, and Xinwei Li
- Subjects
fatty liver ,insulin-induced gene 1 ,sterol regulatory element-binding protein 1c ,SREBP cleavage-activating protein ,Dairy processing. Dairy products ,SF250.5-275 ,Dairying ,SF221-250 - Abstract
ABSTRACT: Fatty liver is a major metabolic disorder of high-producing dairy cows during the transition period. In nonruminants, it is well established that insulin-induced gene 1 (INSIG1) plays a crucial role in regulating hepatic lipogenesis by controlling the anchoring of sterol regulatory element-binding protein 1 (SREBP-1) on the endoplasmic reticulum along with SREBP cleavage-activating protein (SCAP). Whether the INSIG1-SCAP-SREBP-1c transport axis is affected in cows experiencing fatty liver is unknown. Thus, the aim of this study was to investigate the potential role of INSIG1-SCAP-SREBP-1c axis in the progression of fatty liver in dairy cows. For in vivo experiments, 24 dairy cows at the start of their fourth lactation (median; range 3–5) and 8 d in milk (median; range 4–12 d) were selected into a healthy group [n = 12; triglyceride (TG) content 10%) according to their hepatic TG content. Blood samples were collected for detecting serum concentrations of free fatty acids, β-hydroxybutyrate, and glucose. Compared with healthy cows, cows with severe fatty liver had higher serum concentrations of β-hydroxybutyrate and free fatty acids and lower concentration of glucose. Liver biopsies were used to detect the status of INSIG1-SCAP-SREBP-1c axis, and the mRNA expression of SREBP-1c-target lipogenic genes acetyl-CoA carboxylase α (ACACA), fatty acid synthase (FASN), and diacylglycerol acyltransferase 1 (DGAT1). Cows with severe fatty liver had lower protein expression of INSIG1 in the hepatocyte endoplasmic reticulum fraction, greater protein expression of SCAP and precursor SREBP-1c in the hepatocyte Golgi fraction, and greater protein expression of mature SREBP-1c in the hepatocyte nuclear fraction. In addition, the mRNA expression of SREBP-1c-target lipogenic genes ACACA, FASN, and DGAT1 was greater in the liver of dairy cows with severe fatty liver. In vitro experiments were conducted on hepatocytes isolated from 5 healthy 1-d-old female Holstein calves, and hepatocytes from each calf were run independently. First, hepatocytes were treated with 0, 200, or 400 μM palmitic acid (PA) for 12 h. Exogenous PA treatment decreased INSIG1 protein abundance, enhanced the endoplasmic reticulum to Golgi export of SCAP–precursor SREBP-1c complex and the nuclear translocation of mature SREBP-1c, all of which was associated with increased transcriptional activation of lipogenic genes and TG synthesis. Second, hepatocytes were transfected with INSIG1-overexpressing adenovirus for 48 h and treated with 400 μM PA 12 h before the end of transfection. Overexpressing INSIG1 inhibited PA-induced SREBP-1c processing, upregulation of lipogenic genes, and TG synthesis in hepatocytes. Overall, the present in vivo and in vitro results indicated that the low abundance of INSIG1 contributed to SREBP-1c processing and hepatic steatosis in dairy cows. Thus, the INSIG1-SCAP-SREBP-1c axis may be a novel target for treatment of fatty liver in dairy cows.
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- 2023
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95. Trends of mean systolic and diastolic blood pressure among adults in Shenzhen, China, 1997–2018: findings from three rounds of the population-based survey
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Yu Shi, Lei Si, Wei Wang, Ke Peng, Yishu Liu, Xiaoying Liu, Zhihui Wang, Menglu Ouyang, Jing Hao, Weicong Cai, Lin Lei, Kaihao Lin, Jessica Gong, Guiyuan Han, Yunfeng Wang, Honglei Zhao, Yinghao Xie, and Yuxin Xie
- Subjects
Medicine - Abstract
Objective To quantify the trends in systolic and diastolic blood pressure (BP) among adults in Shenzhen from 1997 to 2018.Design Cross-sectional study.Settings The data were collected from all districts in Shenzhen, China in the years of 1997, 2009 and 2018 by multistage cluster sampling procedure.Participants Participants were residents aged 18–69 years in Shenzhen, China. A total of 26 621 people were included: 8266 people in 1997, 8599 people in 2009 and 9756 people in 2018.Primary and secondary outcome measures All participants were surveyed about their sociodemographic and lifestyle information. BP was measured by trained physicians using a mercury sphygmomanometer. Hypertension was defined as systolic BP of at least 140 mm Hg and diastolic BP of at least 90 mm Hg, self-reported use of antihypertensive medications or both. Hypertension control was defined as systolic BP values of less than 140 mm Hg and diastolic BP values of less than 90 mm Hg.Result Age-adjusted mean systolic BP increased from 117±16 mm Hg to 123±15 mm Hg (p
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- 2024
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96. Estimating the economic burden of colorectal cancer in China, 2019–2030: A population‐level prevalence‐based analysis
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Hong Wang, Yan‐Jie Li, Lin Lei, Cheng‐Cheng Liu, Wan‐Qing Chen, Min Dai, Xin Wang, Jie‐Bin Lew, Ju‐Fang Shi, Ni Li, and Jie He
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China ,colorectal cancer ,costs ,economic burden ,population‐level ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Colorectal cancer (CRC) is one of the most common cancers worldwide. Comprehensive data on the economic burden of CRC at a population‐level is critical in informing policymaking, but such data are currently limited in China. Methods From a societal perspective, the economic burden of CRC in 2019 was estimated, including direct medical and nonmedical expenditure, disability, and premature‐death‐related indirect expenditure. Data on disease burden was taken from the GBD 2019 and analyzed using a prevalence‐based approach. The per‐person direct expenditure and work loss days were from a multicenter study; the premature‐death‐related expenditure was estimated using a human capital approach. Projections were conducted in different simulated scenarios. All expenditure data were in Chinese Yuan (CNY) and discounted to 2019. Results In 2019, the estimated overall economic burden of CRC in China was CNY170.5 billion (0.189% of the local GDP). The direct expenditure was CNY106.4 billion (62.4% of the total economic burden), 91.4% of which was a direct medical expenditure. The indirect expenditure was CNY64.1 billion, of which 63.7% was related to premature death. The predicted burden would reach CNY560.0 billion in 2030 given constant trends for disease burden; however, it would be alternatively reduced to
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- 2024
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97. Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity
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Lin, Lei, Shi, Feng, and Li, Weizi
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Physics - Physics and Society ,Computer Science - Social and Information Networks - Abstract
COVID-19 is affecting every social sector significantly, including human mobility and subsequently road traffic safety. In this study, we analyze the impact of the pandemic on traffic accidents using two cities, namely Los Angeles and New York City in the U.S., as examples. Specifically, we have analyzed traffic accidents associated with various demographic groups, how traffic accidents are distributed in time and space, and the severity level of traffic accidents that both involve and do not involve other transportation modes (e.g., pedestrians and motorists). We have made the following observations: 1) the pandemic has disproportionately affected certain age groups, races, and genders; 2) the "hotspots" of traffic accidents have been shifted in both time and space compared to time periods that are prior to the pandemic, demonstrating irregularity; and 3) the number of non-fatal accident cases has decreased but the number of severe and fatal cases of traffic accidents remains the same under the pandemic.
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- 2020
98. Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States
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Wang, Songhe, Wei, Kangda, Lin, Lei, and Li, Weizi
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Computer Science - Social and Information Networks ,Physics - Physics and Society - Abstract
COVID-19 has been affecting every aspect of societal life including human mobility since December, 2019. In this paper, we study the impact of COVID-19 on human mobility patterns at the state level within the United States. From the temporal perspective, we find that the change of mobility patterns does not necessarily correlate with government policies and guidelines, but is more related to people's awareness of the pandemic, which is reflected by the search data from Google Trends. Our results show that it takes on average 14 days for the mobility patterns to adjust to the new situation. From the spatial perspective, we conduct a state-level network analysis and clustering using the mobility data from Multiscale Dynamic Human Mobility Flow Dataset. As a result, we find that 1) states in the same cluster have shorter geographical distances; 2) a 14-day delay again is found between the time when the largest number of clusters appears and the peak of Coronavirus-related search queries on Google Trends; and 3) a major reduction in other network flow properties, namely degree, closeness, and betweenness, of all states from the week of March 2 to the week of April 6 (the week of the largest number of clusters)., Comment: Accepted to the 20th and 21st Joint COTA International Conference of Transportation Professionals
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- 2020
99. Predicting Station-Level Bike-Sharing Demands Using Graph Convolutional Neural Network
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Lin, Lei, Li, Weizi, and Peeta, Srinivas
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Electrical Engineering and Systems Science - Signal Processing - Abstract
This study proposes a novel Graph Convolutional Neural Network with Data-driven Graph Filter (GCNN-DDGF) model that can learn hidden heterogeneous pairwise correlations among stations to predict station-level hourly demand in a large-scale bike-sharing network. Two architectures of the GCNN-DDGF model are explored: GCNNreg-DDGF is a regular GCNN-DDGF model which contains the convolution and feedforward blocks; GCNNrec-DDGF additionally contains a recurrent block from the Long Short-term Memory neural network to capture temporal dependencies in bike-sharing demand series. Furthermore, four GCNN models are proposed whose adjacency matrices are based on various bike-sharing system data, including Spatial Distance matrix (SD), Demand matrix (DE), Average Trip Duration matrix (ATD), and Demand Correlation matrix (DC). These six GCNN models along with seven other benchmark models are built and compared using the Citi Bike dataset from New York City, which includes 272 stations and over 28 million transactions from 2013 to 2016. Results show that the GCNNrec-DDGF performs the best in terms of the Root Mean Square Error, the Mean Absolute Error, and the coefficient of determination (R2), followed by the GCNNreg-DDGF. They outperform the other models., Comment: Accepted to Transportation Research Board 98th Annual Meeting 2019
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- 2020
100. MCFlow: Monte Carlo Flow Models for Data Imputation
- Author
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Richardson, Trevor W., Wu, Wencheng, Lin, Lei, Xu, Beilei, and Bernal, Edgar A.
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Computer Science - Machine Learning ,Computer Science - Computer Vision and Pattern Recognition ,Statistics - Machine Learning - Abstract
We consider the topic of data imputation, a foundational task in machine learning that addresses issues with missing data. To that end, we propose MCFlow, a deep framework for imputation that leverages normalizing flow generative models and Monte Carlo sampling. We address the causality dilemma that arises when training models with incomplete data by introducing an iterative learning scheme which alternately updates the density estimate and the values of the missing entries in the training data. We provide extensive empirical validation of the effectiveness of the proposed method on standard multivariate and image datasets, and benchmark its performance against state-of-the-art alternatives. We demonstrate that MCFlow is superior to competing methods in terms of the quality of the imputed data, as well as with regards to its ability to preserve the semantic structure of the data.
- Published
- 2020
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