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Träfflista för sökning "WFRF:(Wang Yuanyuan) srt2:(2020-2024)"

Search: WFRF:(Wang Yuanyuan) > (2020-2024)

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1.
  • Beal, Jacob, et al. (author)
  • Robust estimation of bacterial cell count from optical density
  • 2020
  • In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
  • Journal article (peer-reviewed)abstract
    • Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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2.
  • Wang, Shaoying, et al. (author)
  • Characterizing lipid profiles associated with asymptomatic intracranial arterial stenosis in rural-dwelling adults : A population-based study
  • 2020
  • In: Journal of Clinical Lipidology. - : Elsevier BV. - 1933-2874 .- 1876-4789. ; 14:3, s. 371-380
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Although individual lipid parameters have been frequently examined in association with asymptomatic intracranial arterial stenosis (aICAS), few population-based studies have investigated the lipid profiles associated with aICAS among Chinese adults. OBJECTIVE: This study aims to characterize the lipid profiles associated with aICAS in rural-dwelling adults in China. METHODS: This population-based study included 2027 persons who were aged >= 40 years and free of stroke. Data were collected via interviews, clinical examinations, and laboratory testing. We diagnosed aICAS by integrating transcranial color Doppler with magnetic resonance angiography. Data were analyzed using binary and multinomial logistic regression models. RESULTS: Of the 2027 participants, 154 were detected with aICAS. The multiadjusted odds ratio (95% confidence interval) of aICAS was 1.41 (0.997-2.00) for high small dense low-density lipoprotein cholesterol, 1.44 (1.02-2.04) for high lipoprotein(a), 1.71 (1.21-2.44) for low apolipoprotein A-1, 1.43 (1.00-2.04) for low high-density lipoprotein cholesterol (HDL-C), 1.61 (1.14-2.27) for high apolipoprotein B/apolipoprotein A-1 ratio, 1.95 (1.38-2.76) for high low-density lipoprotein cholesterol/HDL-C ratio, and 1.51 (1.06-2.14) for high total cholesterol/HDL-C ratio. When severity of aICAS was analyzed, high levels of lipoprotein(a), small dense low-density lipoprotein cholesterol, and lipid ratios were significantly associated with an increased likelihood of moderate-to-severe aICAS (P < .05). An increasing number of abnormal lipid measurements was associated with an increased likelihood of aICAS (P for trend <.001). CONCLUSION: These findings suggest that lipid profiles for aICAS among rural residents in China are characterized by high atherogenic cholesterol, low antiatherogenic cholesterol, and high ratios of atherogenic-to-antiatherogenic cholesterol or lipoproteins.
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3.
  • Ding, Jiangwei, et al. (author)
  • All Roads Lead to Rome? : Genes Causing Dravet Syndrome and Dravet Syndrome-Like Phenotypes
  • 2022
  • In: Frontiers in Neurology. - : Frontiers Media S.A.. - 1664-2295. ; 13
  • Research review (peer-reviewed)abstract
    • Background: Dravet syndrome (DS) is a severe epileptic encephalopathy mainly caused by haploinsufficiency of the gene SCN1A, which encodes the voltage-gated sodium channel NaV1. 1 in the brain. While SCN1A mutations are known to be the primary cause of DS, other genes that may cause DS are poorly understood. Several genes with pathogenic mutations result in DS or DS-like phenotypes, which may require different drug treatment approaches. Therefore, it is urgent for clinicians, especially epilepsy specialists to fully understand these genes involved in DS in addition to SCN1A. Particularly for healthcare providers, a deep understanding of these pathogenic genes is useful in properly selecting and adjusting drugs in a more effective and timely manner.Objective: The purpose of this study was to identify genes other than SCN1A that may also cause DS or DS-like phenotypes. Methods: A comprehensive search of relevant Dravet syndrome and severe myoclonic epilepsy in infancy was performed in PubMed, until December 1, 2021. Two independent authors performed the screening for potentially eligible studies. Disagreements were decided by a third, more professional researcher or by all three. The results reported by each study were narratively summarized.Results: A PubMed search yielded 5,064 items, and other sources search 12 records. A total of 29 studies published between 2009 and 2021 met the inclusion criteria. Regarding the included articles, seven studies on PCDH19, three on SCN2A, two on SCN8A, five on SCN1B, two on GABRA1, three on GABRB3, three on GABRG2, and three on STXBP1 were included. Only one study was recorded for CHD2, CPLX1, HCN1 and KCNA2, respectively. It is worth noting that a few articles reported on more than one epilepsy gene.Conclusion: DS is not only identified in variants of SCN1A, but other genes such as PCDH19, SCN2A, SCN8A, SCN1B, GABRA1, GABRB3, GABRG2, KCNA2, CHD2, CPLX1, HCN1A, STXBP1 can also be involved in DS or DS-like phenotypes. As genetic testing becomes more widely available, more genes associated with DS and DS-like phenotypes may be identified and gene-based diagnosis of subtypes of phenotypes in this spectrum may improve the management of these diseases in the future.
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4.
  • Ma, Xiaotong, et al. (author)
  • Association of sdLDL-C With Incident Carotid Plaques With Stable and Vulnerable Morphology : A Prospective Cohort Study
  • 2024
  • In: Stroke. - 0039-2499 .- 1524-4628. ; 55:3, s. 576-585
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Small dense low-density lipoprotein cholesterol (sdLDL-C) particles are more atherogenic than large and intermediate low-density lipoprotein cholesterol (LDL-C) subfractions. We sought to investigate the association of sdLDL-C and the sdLDL-C/LDL-C ratio with incident carotid plaques with stable and vulnerable morphology in rural China.METHODS: This community-based cohort study used data from the RICAS study (Rose Asymptomatic Intracranial Artery Stenosis), which enrolled 887 participants (aged ≥40 years) who were living in Kongcun Town, Pingyin County, Shandong, and free of carotid plaques and had no history of clinical stroke or transient ischemic attack at baseline (2017). Incident carotid plaques and their vulnerability were detected by carotid ultrasound at follow-up (2021). Multivariable logistic regression models were used to explore the association of sdLDL-C or sdLDL-C/LDL-C ratio with incident carotid plaques while adjusting for demographic factors, vascular risk factors, and follow-up time.RESULTS: Of the 887 participants (mean age [SD], 53.89 [8.67%] years; 54.34% women), 179 (20.18%) were detected with incident carotid plaques during an average follow-up of 3.94 years (SD=0.14). Higher sdLDL-C or sdLDL-C/LDL-C ratio, but not LDL-C, was significantly associated with an increased risk of incident carotid plaques. The upper tertile of sdLDL-C (versus lower tertile) was associated with the multivariate-adjusted odds ratio of 2.48 (95% CI, 1.00–6.15; P=0.049; P for linear trend=0.046) for carotid plaques with vulnerable morphology (n=41), and the association remained significant in participants with normal LDL-C (<130 mg/dL; n=693; upper versus lower tertile: odds ratio, 3.38 [95% CI, 1.15–9.90]; P=0.027; P for linear trend=0.025). Moreover, the sdLDL-C/LDL-C ratio was associated with a higher odds ratio of incident carotid plaques in participants without diabetes (P for interaction=0.014).CONCLUSIONS: Higher sdLDL-C was associated with an increased risk of incident carotid plaques, especially carotid plaques with vulnerable morphology, even in participants with normal LDL-C. This suggests the potential of sdLDL-C as a therapeutic target for stroke prevention.
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5.
  • Zheng, Yuting, et al. (author)
  • Recent Advances in Bioutilization of Marine Macroalgae Carbohydrates : Degradation, Metabolism, and Fermentation
  • 2022
  • In: Journal of Agricultural and Food Chemistry. - : American Chemical Society (ACS). - 0021-8561 .- 1520-5118. ; 70:5, s. 1438-1453
  • Journal article (peer-reviewed)abstract
    • Marine macroalgae are considered renewable natural resources due to their high carbohydrate content, which gives better utilization value in biorefineries and higher value conversion than first- and second-generation biomass. However, due to the diverse composition, complex structure, and rare metabolic pathways of macroalgae polysaccharides, their bioavailability needs to be improved. In recent years, enzymes and pathways related to the degradation and metabolism of macroalgae polysaccharides have been continuously developed, and new microbial fermentation platforms have emerged. Aiming at the bioutilization and transformation of macroalgae resources, this review describes the latest research results from the direction of green degradation, biorefining, and metabolic pathway design, including summarizing the the latest biorefining technology and the fermentation platform design of agarose, alginate, and other polysaccharides. This information will provide new research directions and solutions for the biotransformation and utilization of marine macroalgae.
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6.
  • He, Mingshu, et al. (author)
  • Deep-Feature-Based Autoencoder Network for Few-Shot Malicious Traffic Detection
  • 2021
  • In: Security and Communication Networks. - : Hindawi Limited. - 1939-0114 .- 1939-0122. ; 2021
  • Journal article (peer-reviewed)abstract
    • With the increase of Internet visits and connections, it is becoming essential and arduous to protect the networks and different devices of the Internet of Things (IoT) from malicious attacks. The intrusion detection systems (IDSs) based on supervised machine learning (ML) methods require a large number of labeled samples. However, the number of abnormal behaviors is far less than that of normal behaviors, let alone that the shots of malicious behavior samples which can be intercepted as training dataset are actually limited. Consequently, it is a key research topic to conduct the anomaly detection for the small number of abnormal behavior samples. This paper proposes an anomaly detection model with a few abnormal samples to solve the problem in few-shot detection based on convolutional neural networks (CNN) and autoencoder (AE). This model mainly consists of the CNN-based supervised pretraining module and the AE-based data reconstruction module. Only a few abnormal samples are utilized to the pretrain module to build the structure of extracting deep features. The data reconstruction module simply chooses the deep features of normal samples as training data. There also exist some effective attention mechanisms in the pretraining module. Through the pretraining of small samples, the accuracy of abnormal detection is improved compared with merely training normal samples with AE. The simulation results prove that this solution can solve the above problems occurring in network behavior anomaly detection. In comparison to the original AE model and other clustering methods, the proposed model advances the detection results in a visible way.
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7.
  • Li, Yanping, et al. (author)
  • Brown Algae Carbohydrates : Structures, Pharmaceutical Properties, and Research Challenges
  • 2021
  • In: Marine Drugs. - : MDPI AG. - 1660-3397. ; 19
  • Research review (peer-reviewed)abstract
    • Brown algae (Phaeophyceae) have been consumed by humans for hundreds of years. Current studies have shown that brown algae are rich sources of bioactive compounds with excellent nutritional value, and are considered functional foods with health benefits. Polysaccharides are the main constituents of brown algae; their diverse structures allow many unique physical and chemical properties that help to moderate a wide range of biological activities, including immunomodulation, antibacterial, antioxidant, prebiotic, antihypertensive, antidiabetic, antitumor, and anticoagulant activities. In this review, we focus on the major polysaccharide components in brown algae: the alginate, laminarin, and fucoidan. We explore how their structure leads to their health benefits, and their application prospects in functional foods and pharmaceuticals. Finally, we summarize the latest developments in applied research on brown algae polysaccharides.
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8.
  • Sun, Fengbo, et al. (author)
  • 1,5-Diiodocycloctane: a cyclane solvent additive that can extend the exciton diffusion length in thick film organic solar cells
  • 2024
  • In: Energy and Environmental Sciences. - 1754-5692 .- 1754-5706. ; 17:5, s. 1916-1930
  • Journal article (peer-reviewed)abstract
    • The short exciton diffusion length associated with most state-of-the-art organic semiconductors used in organic solar cells (OSCs) imposes severe limits on the exciton transport in the larger donor/acceptor domains and the exciton dissociation at the interface, which hinder further improvements in the power conversion efficiencies (PCE) of the thick-film devices. In this study, a new cyclane, 1,5-diiodocycloctane (DICO), was employed as a solvent additive to effectively extend the exciton LD within the bulk-heterojunction blend, which can function with the multiple photovoltaic materials system. Due to the great enhancement of molecular stacking and exclusively large domain sizes of photovoltaic materials with the assistance of the DICO additive, the trap density in devices is significantly reduced, thereby nearly doubling the LD in the thick film OSCs. Notably, the DICO-processed PM6/L8-BO-based OSC showed high thickness tolerance for the bulk-heterojunction (BHJ) layer, delivering a high PCE of 19.1% in the case of a 110 nm thick film and still maintaining an excellent PCE of 17.2% in the case of a 300 nm thick film. Crucially, a noticeably increased stability of the multiple materials system was observed in the DICO-processed OSCs. These findings enrich the additive family with new cyclane systems to extend the exciton LD in thick film OSCs with high performance.
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9.
  • Tang, Sui, et al. (author)
  • Association of plant-based diet index with sleep quality in middle-aged and older adults : The Healthy Dance Study
  • 2023
  • In: Sleep Health. - : Elsevier. - 2352-7218 .- 2352-7226. ; 9:5, s. 698-703
  • Journal article (peer-reviewed)abstract
    • Objectives: To investigate the association between plant-based diet indices and sleep quality in Chinese middle-aged and older adults.Methods: The study included 2424 participants aged 45 years and older. Dietary data were collected using a semi-quantitative food frequency questionnaire, and sleep quality was assessed by the Pittsburgh Sleep Quality Index scale. Plant-based diet was categorized based on 3 indices (score range, 17-85) covering 17 food groups: the overall plant-based diet index, healthful plant-based diet index, and unhealthful plant-based diet index. The associations between these plant-based diet indices and sleep quality were examined using logistic and linear regression analyses.Results: After controlling for sociodemographic, lifestyle, and multiple disease-related factors, participants in the highest quartile of the healthful plant-based diet index had 0.55 higher odds of better sleep quality (95% CI: 0.42, 0.72; P-trend < .001). In contrast, participants in the highest quartile of the unhealthful plant-based diet index had 2.03 higher odds of poor sleep quality (95% CI: 1.51, 2.72; P-trend < .001). In addition, plant-based diet index and healthful plant-based diet index were inversely associated with Pittsburgh Sleep Quality Index scores, while unhealthful plant-based diet index and Pittsburgh Sleep Quality Index scores were positively associated.Conclusions: We found unhealthy plant-based diets are significantly associated with poor sleep quality. Adherence to overall plant-based diets, especially healthy plant-based diets, was positively associated with optimal sleep quality.(c) 2023 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.
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10.
  • Bai, Yang, et al. (author)
  • Geometry design of tethered small-molecule acceptor enables highly stable and efficient polymer solar cells
  • 2023
  • In: Nature Communications. - : NATURE PORTFOLIO. - 2041-1723. ; 14:1
  • Journal article (peer-reviewed)abstract
    • With the power conversion efficiency of binary polymer solar cells dramatically improved, the thermal stability of the small-molecule acceptors raised the main concerns on the device operating stability. Here, to address this issue, thiophene-dicarboxylate spacer tethered small-molecule acceptors are designed, and their molecular geometries are further regulated via the thiophene-core isomerism engineering, affording dimeric TDY-alpha with a 2, 5-substitution and TDY-beta with 3, 4-substitution on the core. It shows that TDY-alpha processes a higher glass transition temperature, better crystallinity relative to its individual small-molecule acceptor segment and isomeric counterpart of TDY-beta, and amore stablemorphology with the polymer donor. As a result, the TDY-alpha based device delivers a higher device efficiency of 18.1%, and most important, achieves an extrapolated lifetime of about 35000 hours that retaining 80% of their initial efficiency. Our result suggests that with proper geometry design, the tethered small-molecule acceptors can achieve both high device efficiency and operating stability.
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  • Result 1-10 of 45
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peer-reviewed (45)
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Li, Yuanyuan (14)
Han, Yuanyuan (4)
Huang, Yuanyuan (3)
Luo, Yiqi (3)
Wang, Ying Ping (3)
Sun, Licheng, 1962- (3)
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Nuzzo, Ralph G. (3)
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