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  1. Article ; Online: Generalizing factors of COVID-19 vaccine attitudes in different regions

    Yang Liu / Jiale Shi / Chenxu Zhao / Chengzhi Zhang

    Digital Health, Vol

    A summary generation and topic modeling approach

    2023  Volume 9

    Abstract: Objective The goal of this study is to use summary generation and topic modeling to identify factors contributing to vaccine attitudes for three different vaccine brands, with the aim of generalizing these factors across different regions. Methods A ... ...

    Abstract Objective The goal of this study is to use summary generation and topic modeling to identify factors contributing to vaccine attitudes for three different vaccine brands, with the aim of generalizing these factors across different regions. Methods A total of 5562 tweets about three vaccine brands (Sinovac, AstraZeneca, and Pfizer) were collected from 14 December 2020 to 30 December 2021. BERTopic clustering is used to group the tweets into topics, and then contrastive learning (CL) is adopted to generate summaries of each topic. The main content of each topic is generalized into three factors that contribute to vaccine attitudes: vaccine-related factors, health system-related factors, and individual social attributes. Results BERTopic clustering outperforms Latent Dirichlet Allocation clustering in our analysis. It can also be found that using CL for summary generation helped to better model the topics, particularly at the center-point of the clustering. Our model identifies three main factors contributing to vaccine attitudes that are consistent across different regions. Conclusions Our study demonstrates the effectiveness of deep learning methods for identifying factors contributing to vaccine attitudes in different regions. By determining these factors, policymakers and medical institutions can develop more effective strategies for addressing concerns related to the vaccination process.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 006
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: The Pharmacological Efficacy of Baicalin in Inflammatory Diseases

    Yongqiang Wen / Yazhou Wang / Chenxu Zhao / Baoyu Zhao / Jianguo Wang

    International Journal of Molecular Sciences, Vol 24, Iss 9317, p

    2023  Volume 9317

    Abstract: Baicalin is one of the most abundant flavonoids found in the dried roots of Scutellaria baicalensis Georgi (SBG) belonging to the genus Scutellaria . While baicalin is demonstrated to have anti-inflammatory, antiviral, antitumor, antibacterial, ... ...

    Abstract Baicalin is one of the most abundant flavonoids found in the dried roots of Scutellaria baicalensis Georgi (SBG) belonging to the genus Scutellaria . While baicalin is demonstrated to have anti-inflammatory, antiviral, antitumor, antibacterial, anticonvulsant, antioxidant, hepatoprotective, and neuroprotective effects, its low hydrophilicity and lipophilicity limit the bioavailability and pharmacological functions. Therefore, an in-depth study of baicalin’s bioavailability and pharmacokinetics contributes to laying the theoretical foundation for applied research in disease treatment. In this view, the physicochemical properties and anti-inflammatory activity of baicalin are summarized in terms of bioavailability, drug interaction, and inflammatory conditions.
    Keywords baicalin ; bioavailability ; drug interaction ; anti-inflammatory activity ; pharmacokinetics ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Multiple Roles of the Stress Sensor GCN2 in Immune Cells

    Chenxu Zhao / Han Guo / Yangxiao Hou / Tong Lei / Dong Wei / Yong Zhao

    International Journal of Molecular Sciences, Vol 24, Iss 4285, p

    2023  Volume 4285

    Abstract: The serine/threonine-protein kinase general control nonderepressible 2 (GCN2) is a well-known stress sensor that responds to amino acid starvation and other stresses, making it critical to the maintenance of cellular and organismal homeostasis. More than ...

    Abstract The serine/threonine-protein kinase general control nonderepressible 2 (GCN2) is a well-known stress sensor that responds to amino acid starvation and other stresses, making it critical to the maintenance of cellular and organismal homeostasis. More than 20 years of research has revealed the molecular structure/complex, inducers/regulators, intracellular signaling pathways and bio-functions of GCN2 in various biological processes, across an organism’s lifespan, and in many diseases. Accumulated studies have demonstrated that the GCN2 kinase is also closely involved in the immune system and in various immune-related diseases, such as GCN2 acts as an important regulatory molecule to control macrophage functional polarization and CD4 + T cell subset differentiation. Herein, we comprehensively summarize the biological functions of GCN2 and discuss its roles in the immune system, including innate and adaptive immune cells. We also discuss the antagonism of GCN2 and mTOR pathways in immune cells. A better understanding of GCN2′s functions and signaling pathways in the immune system under physiological, stressful, and pathological situations will be beneficial to the development of potential therapies for many immune-relevant diseases.
    Keywords GCN2 ; immune system ; stress ; protein kinase ; tumor ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 570
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: TaSYP137 and TaVAMP723, the SNAREs Proteins from Wheat, Reduce Resistance to Blumeria graminis f. sp. tritici

    Guanghao Wang / Xiangyu Zhang / Huan Guo / Chenxu Zhao / Hong Zhang / Chunhuan Chen / Wanquan Ji

    International Journal of Molecular Sciences, Vol 24, Iss 4830, p

    2023  Volume 4830

    Abstract: SNARE protein is an essential factor driving vesicle fusion in eukaryotes. Several SNAREs have been shown to play a crucial role in protecting against powdery mildew and other pathogens. In our previous study, we identified SNARE family members and ... ...

    Abstract SNARE protein is an essential factor driving vesicle fusion in eukaryotes. Several SNAREs have been shown to play a crucial role in protecting against powdery mildew and other pathogens. In our previous study, we identified SNARE family members and analyzed their expression pattern in response to powdery mildew infection. Based on quantitative expression and RNA-seq results, we focused on TaSYP137 / TaVAMP723 and hypothesized that they play an important role in the interaction between wheat and Blumeria graminis f. sp. Tritici ( Bgt ). In this study, we measured the expression patterns of TaSYP132 / TaVAMP723 genes in wheat post-infection with Bgt and found that the expression pattern of TaSYP137 / TaVAMP723 was opposite in resistant and susceptible wheat samples infected by Bgt . The overexpression of TaSYP137 / TaVAMP723 disrupted wheat’s defense against Bgt infection, while silencing these genes enhanced its resistance to Bgt . Subcellular localization studies revealed that TaSYP137/TaVAMP723 are present in both the plasma membrane and nucleus. The interaction between TaSYP137 and TaVAMP723 was confirmed using the yeast two-hybrid (Y2H) system. This study offers novel insights into the involvement of SNARE proteins in the resistance of wheat against Bgt , thereby enhancing our comprehension of the role of the SNARE family in the pathways related to plant disease resistance.
    Keywords wheat ; powdery mildew resistance ; TaVAMP723 ; TaSYP137 ; gene function ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 570
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Function and regulation of ubiquitin-like SUMO system in heart

    Ying Wang / Zhihao Liu / Xiyun Bian / Chenxu Zhao / Xin Zhang / Xiaozhi Liu / Nan Wang

    Frontiers in Cell and Developmental Biology, Vol

    2023  Volume 11

    Abstract: The small ubiquitin-related modifier (SUMOylation) system is a conserved, reversible, post-translational protein modification pathway covalently attached to the lysine residues of proteins in eukaryotic cells, and SUMOylation is catalyzed by SUMO- ... ...

    Abstract The small ubiquitin-related modifier (SUMOylation) system is a conserved, reversible, post-translational protein modification pathway covalently attached to the lysine residues of proteins in eukaryotic cells, and SUMOylation is catalyzed by SUMO-specific activating enzyme (E1), binding enzyme (E2) and ligase (E3). Sentrin-specific proteases (SENPs) can cleave the isopeptide bond of a SUMO conjugate and catalyze the deSUMOylation reaction. SUMOylation can regulate the activity of proteins in many important cellular processes, including transcriptional regulation, cell cycle progression, signal transduction, DNA damage repair and protein stability. Biological experiments in vivo and in vitro have confirmed the key role of the SUMO conjugation/deconjugation system in energy metabolism, Ca2+ cycle homeostasis and protein quality control in cardiomyocytes. In this review, we summarized the research progress of the SUMO conjugation/deconjugation system and SUMOylation-mediated cardiac actions based on related studies published in recent years, and highlighted the further research areas to clarify the role of the SUMO system in the heart by using emerging technologies.
    Keywords SUMO ; heart ; protein quality control ; Ca2+ cycle ; cardiac metabolism ; Biology (General) ; QH301-705.5
    Subject code 570
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: A Multi-Source Intelligent Fusion Assessment Method for Dynamic Construction Risk of Subway Deep Foundation Pit

    Bo Wu / Yajie Wan / Shixiang Xu / Chenxu Zhao / Yi Liu / Ke Zhang

    Sustainability, Vol 15, Iss 10162, p

    A Case Study

    2023  Volume 10162

    Abstract: The construction of a subway deep foundation pit is complex and risky, thus multiple safety risk factors bring great challenges to evaluating the safety status accurately. Advanced monitoring technology equipment could obtain a large number of monitoring ...

    Abstract The construction of a subway deep foundation pit is complex and risky, thus multiple safety risk factors bring great challenges to evaluating the safety status accurately. Advanced monitoring technology equipment could obtain a large number of monitoring data, and how integrating complex and diversified monitoring data to assess the safety risk of foundation pits has become a new problem. Therefore, an intelligent multi-source fusion assessment model is proposed. This model is mainly used for solving risk probability distribution, deep learning, and intelligent prediction of monitoring indicators, and then evaluating safety status by fusing various parameters of multiple indicators. Thus, based on the data of deep learning and the measured multivariate data, the dynamic risk during foundation pit construction can be obtained. Moreover, a typical case study was performed through monitoring and carrying out the risk assessment which is located at the Martyrs’ Lingyuan Station of Jinnan Metro Line R2, China. In this case, the PSO-SVM and LSTM models are used to predict the deformation trend, and the monitoring data is reliable with high precision. After multi-index fusion model calculation, the results show that the foundation pit structure is in a safe state, and the evaluation situation is basically consistent with the site. Consequently, the prediction of the new multi-source intelligent fusion risk assessment method is convincing.
    Keywords risk assessment ; safety monitoring ; subway deep foundation pit ; multi-source fusion ; artificial intelligence ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 690
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: A Network Pharmacology and Multi-Omics Combination Approach to Reveal the Effect of Strontium on Ca 2+ Metabolism in Bovine Rumen Epithelial Cells

    Panpan Tan / Chenxu Zhao / Yong Dong / Zixin Zhang / Linshan Mei / Yezi Kong / Fangyuan Zeng / Yongqiang Wen / Baoyu Zhao / Jianguo Wang

    International Journal of Molecular Sciences, Vol 24, Iss 9383, p

    2023  Volume 9383

    Abstract: Strontium (Sr) belongs to the same group in the periodic table as calcium (Ca). Sr level can serve as an index of rumen Ca absorption capacity; however, the effects of Sr on Ca 2+ metabolism are unclear. This study aims to investigate the effect of Sr on ...

    Abstract Strontium (Sr) belongs to the same group in the periodic table as calcium (Ca). Sr level can serve as an index of rumen Ca absorption capacity; however, the effects of Sr on Ca 2+ metabolism are unclear. This study aims to investigate the effect of Sr on Ca 2+ metabolism in bovine rumen epithelial cells. The bovine rumen epithelial cells were isolated from the rumen of newborn Holstein male calves ( n = 3, 1 day old, 38.0 ± 2.8 kg, fasting). The half maximal inhibitory concentration (IC50) of Sr-treated bovine rumen epithelial cells and cell cycle were used to establish the Sr treatment model. Transcriptomics, proteomics, and network pharmacology were conducted to investigate the core targets of Sr-mediated regulation of Ca 2+ metabolism in bovine rumen epithelial cells. The data of transcriptomics and proteomics were analyzed using bioinformatic analysis (Gene Ontology and Kyoto Encyclopedia of genes/protein). Quantitative data were analyzed using one-way ANOVA in GraphPad Prism 8.4.3 and the Shapiro–Wilk test was used for the normality test. Results presented that the IC50 of Sr treatment bovine rumen epithelial cells for 24 h was 43.21 mmol/L, and Sr increased intracellular Ca 2+ levels. Multi-omics results demonstrated the differential expression of 770 mRNAs and 2436 proteins after Sr treatment; network pharmacology and reverse transcriptase polymerase chain reaction (RT-PCR) revealed Adenosylhomocysteine hydrolase-like protein 2 (AHCYL2) , Semaphoring 3A (SEMA3A) , Parathyroid hormone-related protein (PTHLH) , Transforming growth factor β 2 ( TGF-β2) , and Cholesterol side-chain cleavage enzyme (CYP11A1) as potential targets for Sr-mediated Ca 2+ metabolism regulation. Together these results will improve the current comprehension of the regulatory effect of Sr on Ca 2+ metabolism and pave a theoretical basis for Sr application in bovine hypocalcemia.
    Keywords strontium ; Ca 2+ metabolism ; rumen epithelial cells ; transcriptomics ; proteomics ; network pharmacology ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 333
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Utilization of pelagic clay to prepare porous silicon as negative electrode for lithium-ion batteries

    Peiping, Zhang / Chenxu, Zhao / Weikun, Ning / Shiding, Miao / Nan, Li / Qian, Gao / Xuefa, Shi

    Colloids and surfaces. 2022 June 05, v. 642

    2022  

    Abstract: In order to rationally develop abundant marine clay resources, in view of its large specific surface area, looseness, high porosity, poor crystallinity, and high activity, the magnesium thermal reduction method was used to reduce Si⁴⁺ in the pelagic clay ...

    Abstract In order to rationally develop abundant marine clay resources, in view of its large specific surface area, looseness, high porosity, poor crystallinity, and high activity, the magnesium thermal reduction method was used to reduce Si⁴⁺ in the pelagic clay minerals to obtain porous silicon. Through targeted process design and reaction condition control, the obtained silicon material not only has higher crystallinity, but also has layered accumulation pores with relatively uniform pore size distribution. It had a BET specific surface area of 81.473 m²·g⁻¹, a pore volume of 0.290 cm³·g⁻¹, and an average pore size of 10.193 nm. In addition, using sucrose as the carbon source, the prepared silicon was modified to obtain a carbon-coated porous silicon material, whose performance as lithium-ion battery negative electrode was preliminarily characterized. The specific capacity, cycling performance and multiplicity performance test results showed that the porous silicon derived from pelagic clay exhibits good cycling and rate performance under the carbon coating conditions, which means that it had a certain potential in the field of lithium-ion batteries. This work opened up a new way for high value-added utilization of pelagic clay.
    Keywords carbon ; clay ; crystal structure ; electrodes ; lithium batteries ; magnesium ; porosity ; process design ; silicon ; sucrose ; surface area ; value added
    Language English
    Dates of publication 2022-0605
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1500517-3
    ISSN 0927-7757
    ISSN 0927-7757
    DOI 10.1016/j.colsurfa.2022.128605
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: Underwater Bearing-Only and Bearing-Doppler Target Tracking Based on Square Root Unscented Kalman Filter

    Xiaohua Li / Chenxu Zhao / Jing Yu / Wei Wei

    Entropy, Vol 21, Iss 8, p

    2019  Volume 740

    Abstract: Underwater target tracking system can be kept covert using the bearing-only or the bearing-Doppler measurements (passive measurements), which will reduce the risk of been detected. According to the characteristics of underwater target tracking, the ... ...

    Abstract Underwater target tracking system can be kept covert using the bearing-only or the bearing-Doppler measurements (passive measurements), which will reduce the risk of been detected. According to the characteristics of underwater target tracking, the square root unscented Kalman filter (SRUKF) algorithm, which is based on the Bayesian theory, was applied to the underwater bearing-only and bearing-Doppler non-maneuverable target tracking problem. Aiming at the shortcomings of the unscented Kalman filter (UKF), the SRUKF uses the QR decomposition and the Cholesky factor updating, in order to avoid that the process noise covariance matrix loses its positive definiteness during the target tracking period. The SRUKF uses sigma sampling to avoid the linearization of the nonlinear bearing-only and the bearing-Doppler measurements. To ensure the target state observability in underwater target tracking, the paper uses single maneuvering observer to track the single non-maneuverable target. The simulation results show that the SRUKF has better tracking performance than the extended Kalman filter (EKF) and the UKF in tracking accuracy and stability, and the computational complexity of the SRUKF algorithm is low.
    Keywords underwater ; bearing-only ; bearing-Doppler ; square root unscented Kalman filter ; observability ; target tracking ; Bayesian theory ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Subject code 600
    Language English
    Publishing date 2019-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: FGF21 Reduces Lipid Accumulation in Bovine Hepatocytes by Enhancing Lipid Oxidation and Reducing Lipogenesis via AMPK Signaling

    Yezi Kong / Chenxu Zhao / Panpan Tan / Siqi Liu / Yan Huang / Fangyuan Zeng / Pingjun Ma / Yazhou Guo / Baoyu Zhao / Jianguo Wang

    Animals, Vol 12, Iss 939, p

    2022  Volume 939

    Abstract: During the periparturient period, dairy cows suffer drastic metabolic stress because of plasma increased non-esterified fatty acids (NEFAs) that stem from a negative energy balance. Fibroblast growth factor 21 (FGF21) is a hepatokine that activates the ... ...

    Abstract During the periparturient period, dairy cows suffer drastic metabolic stress because of plasma increased non-esterified fatty acids (NEFAs) that stem from a negative energy balance. Fibroblast growth factor 21 (FGF21) is a hepatokine that activates the AMP-activated protein kinase (AMPK) signaling pathway to maintain intracellular energy balance and tissue integrity via the promotion of catabolism and the inhibition of anabolic regulation. FGF21 treatment caused a 50% reduction in triglyceride (TG) content in liver in dairy cows. However, it is not clear whether FGF21 regulates lipid metabolism in bovine liver. The purpose of this study was to evaluate the influence of FGF21 on lipid metabolism via AMPK signaling in bovine hepatocytes. The hepatocytes isolated from calves were treated with different concentrations of FGF21 or co-treated with AMPK inhibitor (BML-275). Herein, the study showed that FGF21 significantly reduced TG content in a dose–response manner and promoted very-low-density lipoprotein (VLDL) secretion via an up-regulation of the proteins (ApoB 100, ApoE and MTTP) involved in VLDL secretion. Otherwise, the genes associated with lipid transport (LDLR and CD36) and lipid oxidation (PPARGC1A, ACOX1 and CPT1A), were up-regulated following FGF21 treatment. Moreover, FGF21 treatment inhibited lipogenesis via SREBF1, ACACA, FASN and ACLY inhibition. After being co-treated with the AMPK inhibitor, FGF21-induced changes were reversed in some genes. In conclusion, these results indicate that FGF21 adaptively regulates energy metabolism for a negative impact on lipogenesis, strengthens lipid oxidation, and inhibited lipid transportation via AMPK signaling in bovine hepatocytes. The present data suggest the possibility that FGF21 has potential value in alleviating perinatal metabolic diseases in dairy cows, and specific research in vivo should be studied in more detail.
    Keywords bovine hepatocytes ; lipid metabolism ; fibroblast growth factor 21 ; AMPK pathway ; dairy cows ; Veterinary medicine ; SF600-1100 ; Zoology ; QL1-991
    Subject code 572
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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