107 results on '"Siyang Zhang"'
Search Results
2. PLAC8 contributes to the malignant behaviors of cervical cancer cells by activating the SOX4-mediated AKT pathway
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Boya, Deng, Siyang, Zhang, Yingying, Zhou, Ying, Zhu, Jing, Fei, and Ailin, Li
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Medical Laboratory Technology ,Histology ,Cell Biology ,Molecular Biology - Abstract
Cervical cancer (CC) is the primary cancer-related cause of morbidity and mortality in women. Previous studies have shown that placenta-specific 8 (PLAC8) has different functions in multiple malignancies. This study aimed to explore the function and regulatory mechanism of PLAC8 in CC. Bioinformatics and immunohistochemical analyses demonstrated that PLAC8 was significantly upregulated in CC tissues compared with normal tissues. Gain/loss-of-function experiments showed that siRNA-mediated knockdown of PLAC8 suppressed cell migration and invasion, while PLAC8 overexpression promoted cell motility. Moreover, PLAC8 was revealed to affect the epithelial-mesenchymal transition (EMT) process by upregulating epithelial (E)-cadherin and decreasing the expression of mesenchymal markers of EMT, including vimentin, zinc finger E-box binding homeobox 1 (ZEB1), neural (N)-cadherin, matrix metalloproteinase-9 (MMP-9), and MMP-2 in PLAC8-silenced cells. PLAC8 activated the AKT pathway, as proven by the downregulation of p-AKT
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- 2023
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3. Extremal Nelder–Mead colony predation algorithm for parameter estimation of solar photovoltaic models
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Boyang Xu, Ali Asghar Heidari, Siyang Zhang, Huiling Chen, and Qike Shao
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General Energy ,Safety, Risk, Reliability and Quality - Published
- 2022
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4. Exploration and research on cultivating intelligent manufacturing professionals based on industry-academia-research platform
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Siyang Zhang, Jing Li, Yu Zhang, Yan Chen, and Li Cai
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Under the background of the construction of "New Engineering", intelligent manufacturing is an important direction of "Made in China 2025". The purpose of this paper is to study the optimization of training system by industry-university-research platform, optimize the way of school operation, update the construction plan of curriculum system, strengthen the construction of special courses, optimize the practical teaching system, expand the new way of training "dual-teacher" practical teachers, and build a platform for sharing the achievements of school-enterprise cooperation.
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- 2022
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5. Label Propagation Algorithm Joint Multilayer Neighborhood Overlap and Historic Label Similarity for Community Detection
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Siyang Zhang, Siyu Yu, Xinhua E, Ru Huo, and Ziheng Sui
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Control and Systems Engineering ,Computer Networks and Communications ,Electrical and Electronic Engineering ,Computer Science Applications ,Information Systems - Published
- 2022
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6. Quantum <scp>Nelder‐Mead</scp> Hunger Games Search for optimizing photovoltaic solar cells
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Boyang Xu, Ali Asghar Heidari, Fangjun Kuang, Siyang Zhang, Huiling Chen, and Zhennao Cai
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Fuel Technology ,Nuclear Energy and Engineering ,Renewable Energy, Sustainability and the Environment ,Energy Engineering and Power Technology - Published
- 2022
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7. Adaptive slime mould algorithm for optimal design of photovoltaic models
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Haiping Lin, Iman Ahmadianfar, Noorbakhsh Amiri Golilarz, Mehdi Jamei, Ali Asghar Heidari, Fangjun Kuang, Siyang Zhang, and Huiling Chen
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General Energy ,Safety, Risk, Reliability and Quality - Published
- 2022
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8. Evaluating the moderating effect of in-vehicle warning information on mental workload and collision avoidance performance
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Chen Chai, Ziyao Zhou, Weiru Yin, David S. Hurwitz, and Siyang Zhang
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Control and Systems Engineering ,Mechanical Engineering ,Automotive Engineering ,Transportation - Abstract
Purpose The presentation of in-vehicle warnings information at risky driving scenarios is aimed to improve the collision avoidance ability of drivers. Existing studies have found that driver’s collision avoidance performance is affected by both warning information and driver’s workload. However, whether moderation and mediation effects exist among warning information, driver’s cognition, behavior and risky avoidance performance is unclear. Design/methodology/approach This purpose of this study is to examine whether the warning information type modifies the relationship between the forward collision risk and collision avoidance behavior. A driving simulator experiment was conducted with waring and command information. Findings Results of 30 participants indicated that command information improves collision avoidance behavior more than notification warning under the forward collision risky driving scenario. The primary reason for this is that collision avoidance behavior can be negatively affected by the forward collision risk. At the same time, command information can weaken this negative effect. Moreover, improved collision avoidance behavior can be achieved through increasing drivers’ mental workload. Practical implications The proposed model provides a comprehensive understanding of the factors influencing collision avoidance behavior, thus contributing to improved in-vehicle information system design. Originality/value The significant moderation effects evoke the fact that information types and mental workloads are critical in improving drivers’ collision avoidance ability. Through further calibration with larger sample size, the proposed structural model can be used to predict the effect of in-vehicle warnings in different risky driving scenarios.
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- 2022
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9. Performance optimization of photovoltaic systems: Reassessment of political optimization with a quantum Nelder-mead functionality
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Boyang Xu, Ali Asghar Heidari, Fangjun Kuang, Siyang Zhang, Huiling Chen, and Zhennao Cai
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Renewable Energy, Sustainability and the Environment ,General Materials Science - Published
- 2022
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10. Effects of land recuperation on farmers’ social capital: a Chinese field analysis
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Siyang Zhang, Xianxiong Xie, Xiaoqi Liu, and Minjuan Zhao
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Economics and Econometrics ,Agronomy and Crop Science - Published
- 2023
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11. Thermal and mechanical response of frozen soils and buried pipeline armed with thermosyphons and insulation layer
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Jiawei Zhou, Zheng Liang, Liang Zhang, Ting Zheng, and Siyang Zhang
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Fluid Flow and Transfer Processes ,Condensed Matter Physics - Published
- 2023
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12. Nocardia rubra cell‐wall skeleton influences the development of cervical carcinoma by promoting the antitumor effect of macrophages and dendritic cells
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Siyang Zhang, Han Wang, Yisi Liu, Tao Tao, Zhi Zeng, Yingying Zhou, and Min Wang
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Cancer Research ,Oncology ,Tumor Necrosis Factor-alpha ,Macrophages ,Carcinoma ,Humans ,Rhodococcus ,Uterine Cervical Neoplasms ,Female ,Radiology, Nuclear Medicine and imaging ,Dendritic Cells ,B7-H1 Antigen ,Skeleton - Abstract
As an immune enhancer, Nocardia rubra cell-wall skeleton (Nr-CWS) has been used to treat persistent human papillomavirus infection and cervical precancerous lesions. However, it is still unclear whether it can be used to treat cervical carcinoma.In our study, the aim was to determine whether Nr-CWS affects the apoptosis of cervical carcinoma cells by enhancing the antitumor effect of dendritic cells and macrophages in vivo and in vitro.The experimental results showed that Nr-CWS can promote the activity of dendritic cells and macrophages and reduce their apoptosis. It also increased the cytokines IL-6, IL-12, TNF-ɑ, and IL-1β secreted by dendritic cells and macrophages and reduced their PD-L1 expression. In vitro, Nr-CWS inhibited the proliferation, colony forming ability of HeLa and SiHa cervical carcinoma cell lines cultured with macrophages, and more cells were blocked in G2/M phase. Nr-CWS promoted TNF-ɑ/TNFR1/caspase-8-mediated apoptosis by increasing macrophages secretion of TNF-ɑ and inhibited cell migration and invasion regulated by the WNT/β-catenin-EMT pathway. Nr-CWS also reduced the expression of the cervical carcinoma genes E6 and E7 thereby increasing expression of p53 gene and decreasing expression of PD-L1 gene. In vivo, Nr-CWS inhibited tumor growth and decreased the expression of E6, E7, PD-L1, P16, Ki67, and PCNA in tumors.Therefore, our results suggest that Nr-CWS can promote apoptosis of cervical carcinoma cells by enhancing the antitumor effect of dendritic cells and macrophages.
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- 2022
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13. A Sustainable WSN System with Heuristic Schemes in IIoT
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Wenjun Li, Siyang Zhang, Guangwei Wu, Aldosary Saad, Amr Tolba, and Gwang-jun Kim
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Biomaterials ,Mechanics of Materials ,Modeling and Simulation ,Electrical and Electronic Engineering ,Computer Science Applications - Published
- 2022
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14. The influence of asset specificity on farmers’ willingness to participate in fallow from the perspective of farmer differentiation
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Siyang Zhang, Xianxiong Xie, Yu Luo, Xiaoqi Liu, and Minjuan Zhao
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General Environmental Science - Abstract
Fallow is an important institutional guarantee for green agricultural development and an important measure to promote rural revitalization. Asset specificity is a crucial factor that affects farmers’ willingness to participate in fallow. In order to improve farmers’ willingness of to fallow and promote the long-term promotion of fallow system, based on the perspective of farmer differentiation, a total of 1,240 micro survey data in four cities of Gansu province was used to quantify the asset specificity by the entropy method. A multivariate ordered Logit model and a double-hurdle model were established to explore the effects of asset specificity on the willingness of farmers with different degrees of differentiation. The results show that: 1) There are differences in fallow willingness among different types of farmers. The fallow willingness of non-farmers and II part-time farmers is generally stronger than that of pure farmers and I part-time farmers. 2) Geographical location specificity has a significant negative impact on the fallow willingness of the four types of non-fallow farmers, and has significant negative impacts on the subsequent fallow willingness and fallow degree of the four types of fallow farmers. 3) Physical asset specificity has a significant negative effect on the fallow willingness of pure farmers, I part-time and II part-time farmers among non-fallow farmers, but has little effect on the subsequent fallow willingness of fallow farmers. 4) Human capital specificity has a significant negative impact on the fallow willingness of the four types of non-fallow farmers, and has a significant negative impact on the subsequent fallow willingness and fallow degree of the four types of fallow farmers.
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- 2023
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15. Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures
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Shubiao Wu, Ali Asghar Heidari, Siyang Zhang, Fangjun Kuang, and Huiling Chen
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Linguistics and Language ,Artificial Intelligence ,Language and Linguistics - Published
- 2023
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16. Seepage Migration Process of Soluble Contaminants in Porous Medium considering Adsorption History
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Wenya Cai, Guoqiang Zhang, Pengyuan Zhang, Siyang Zhang, Weixi Li, Zeyang Meng, and Shunli You
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Article Subject ,Civil and Structural Engineering - Abstract
By embedding a nonlinear nonequilibrium adsorption model considering the adsorption history (i.e., Bai model), a governing equation for the three-dimensional model is extended, which discussed the influence of varying seepage velocity and injection concentration. Compared with the previous linear adsorption model, the concentration peak value of the nonlinear nonequilibrium adsorption history model is higher than that of the linear model, and the time to reach the peak concentration is slightly earlier. In the case of horizontal seepage water, a pollution point source tends to migrate along the direction of water flow and has less ability to diffuse in the vertical direction. Compared with the adsorption history model, the linear model has a stronger blocking ability for pollutant migration, and the longer the time, the greater the gap between the two models. The longer the decay period, the wider the spread of contaminants, and the longer it takes for them to migrate out of the model completely. The more significant the head difference, the larger the diffusion area of pollutants in the main seepage direction, but it has no promotion effect on the lateral diffusion. The pollutant concentration is higher than that of the point source case, and the diffusion range in each section is wider. The closer it is to the center of the pollution source, the weaker the dispersion effect on the diffusion of pollutants in the main seepage direction, and the pollutants will spread in the countercurrent direction, causing pollution upstream.
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- 2023
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17. Research on 3d Terrain Reconstruction and Step-Like Surface Restoration for Natural Environment
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Youru Wu, Siyang Zhang, Guixia Gao, Jian Geng, and Lu Chen
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- 2023
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18. Progress of zinc oxide‐based nanocomposites in the textile industry
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Wen Zhang, Siyang Zhang, Xiaoming Yang, and Ruihang Huang
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Technological innovations. Automation ,Textile industry ,Nanocomposite ,Chemistry ,business.industry ,HD45-45.2 ,Manufactures ,chemistry.chemical_element ,Nanotechnology ,Zinc ,TS1-2301 ,Industrial and Manufacturing Engineering ,Computer Science Applications ,Artificial Intelligence ,Hardware and Architecture ,business - Abstract
Textile materials have been enriched in function at the composite level with continuous developments in the textile industry. Zinc oxide (ZnO) nanoparticles (ZnO‐NPs) are strongly influenced by ultraviolet (UV) filter, antifungal, high catalysis, and semiconductor/piezoelectric coupling characteristics. Therefore, the antibacterial property and UV resistance of ZnO‐NP materials are zcomprehensively analysed to provide a basis for applying ZnO‐NP in the textile industry. In addition, the textile preparation and application of ZnO‐NP in piezoelectric power generation is discussed. Based on relevant documents for ZnO‐textile industry applications, scanning electron microscopy analysis, biological activity analysis, and UV transmittance analysis of textiles containing composite materials prove that textiles based on ZnO‐based composite materials (ZnO‐NP materials) have antibacterial properties and UV resistance. The antibacterial property and UV resistance of ZnO‐NP materials are analysed comprehensively to provide a basis for applying ZnO‐NP in the textile industry. After the photocatalytic reaction, its practical application as slurry type suspensions is limited because of the difficulty of separating the catalyst particles. In terms of its piezoelectric power generation characteristics, intensity of current voltage analysis and X‐ray diffraction analysis reveal that textiles based on ZnO‐NP materials have obvious semiconductor characteristic and obvious current enhancement signals locally, indicating that the textiles can achieve better piezoelectric properties.
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- 2021
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19. Metal Bond Strength Regulation Enables Large-scale Synthesis of Intermetallic Nanocrystals for Practical Fuel Cells
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Jiashun Liang, Yangyang Wan, Houfu Lv, Xuan Liu, Fan Lv, Shenzhou Li, Jia Xu, Zhi Deng, Junyi Liu, Siyang Zhang, Yingjun Sun, Gang Lu, Jiantao Han, Guoxiong Wang, Yunhui Huang, Shaojun Guo, and Qing Li
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Structurally ordered L10-PtM (M = Fe, Co, Ni, etc) intermetallic nanocrystals (iNCs), benefiting from the chemically ordered structure and higher stability, are one of the best electrocatalysts used for PEMFC. However, their practical development is greatly plagued by the challenge that high-temperature annealing (> 700 °C) has to be used for realizing disorder-order phase transition (DOPT) due to the high activation barrier (Ea), which always leads to severe particle sintering, morphology change, and makes it highly challenging for gram-scale preparation of desirable PtM iNCs. Here, we report a general low-melting-point metal induced bond strength weakening strategy to promote DOPT of PtM (M = Ni, Fe, Cu, Zn) alloy catalysts. We demonstrate that the introduction of Sn can reduce DOPT temperature to a record-low temperature (≤ 450 °C), which enables ten-gram-scale preparation of high-performance L10-PtM iNCs. X-ray spectroscopic studies, in-situ electron microscopy and theoretical calculations reveal that the Sn-facilitated DOPT mechanism at record-low temperature involves the weakened bond strength and reduced Ea via Sn doping, the formation and fast diffusion of low coordinated surface free atom, and subsequent L10 nucleation. Most importantly, the 15% Sn-doped L10-PtNi iNCs display outstanding performance in H2-air fuel cells with a high peak power density of 1.45 W cm-2 for Pt alloy catalysts and less than 25% activity loss after 30000 cycles at a quite low cathode Pt loading amount of 0.12 mg¬Pt cm-2, representing as one of the most efficient cathodic electrocatalyst for PEMFCs.
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- 2022
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20. PRPF6 promotes metastasis and paclitaxel resistance of ovarian cancer via SNHG16/CEBPB/GATA3 axis
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Min Wang, Han Wang, Yingying Zhou, Siyang Zhang, and Ya Qi
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Cancer Research ,Oncology ,General Medicine - Abstract
Background: Metastasis and paclitaxel (PTX) resistance are the main reason for the poor prognosis of ovarian cancer (OC). Evidence has shown that RNA-binding proteins (RBPs) and long noncoding RNAs (lncRNAs) can modulate post-transcriptional regulation. The aim of this study was to determine the relationship among RBP, lncRNA and OC and to further guide clinical therapy. Methods: The expression of pre‐mRNA processing factor 6 (PRPF6) in OC tissues form 68 patients were detected by Immunohistochemistry. The expression of small nucleolar RNA host gene 16(SNHG16) transcripts-SNHG16-L/S in OC cell lines were analyzed by real-time PCR (RT-PCR). Transwell, CCK8 assays and flow cytometry analyses were used to detected effects of PRPF6 and SNHG16 on tumorigenesis and PTX-resistance. Molecular interactions were examined by dual‐luciferase reporter gene assay, RNA immunoprecipitation and chromatin immunoprecipitation. OC cells that knockdown PRPF6 were injected subcutaneously in nude mice.Results: The results showed that PRPF6 was upregulated in OC chemoresistant tissues and was closely related to advanced FIGO stages. PRPF6 promoted progression, and PTX resistance in vitro and in vivo. SNHG16-L/S were differentially expressed in OC cells and tissues as detected through real-time PCR (RT-PCR). SNHG16-L/S had opposite effects on progression and PTX resistance in OC. Mechanistically, SNHG16-L inhibited GATA-binding protein 3 (GATA3) transcription by binding to CCAAT/enhancer-binding protein B (CEBPB). Moreover, PRPF6 induced the alternative splicing of SNHG16, causing downregulation of SNHG16-L and, leading to the upregulation of GATA3 expression to further promote metastasis and PTX-resistance in OC.Conclusions: Totally, these data unveiled that PRPF6 promotes metastasis and PTX resistance of OC through SNHG16-L/CEBPB/GATA3 axis, which provides a new direction for OC treatment.
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- 2021
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21. RGS1 and related genes as potential targets for immunotherapy in cervical cancer: computational biology and experimental validation
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Siyang Zhang, Han Wang, Jiao Liu, Tao Tao, Zhi Zeng, and Min Wang
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Carcinogenesis ,Computational Biology ,Mice, Nude ,Uterine Cervical Neoplasms ,General Medicine ,GTP-Binding Protein alpha Subunits, Gi-Go ,General Biochemistry, Genetics and Molecular Biology ,GTP-Binding Protein alpha Subunits ,Mice ,Tumor Microenvironment ,Animals ,Humans ,Female ,Immunotherapy ,RGS Proteins - Abstract
Background Effective treatment is needed for advanced, inoperable, or chemotherapy-resistant cervical cancer patients. Immunotherapy has become a new treatment modality for cervical cancer patients, and there is an urgent need to identify additional targets for cervical cancer immunotherapy. Methods In this study the core gene, RGS1, which affects immune status and the FIGO stage of cervical cancer patients was identified by WGCNA analysis and differential analysis using TCGA database. 10 related genes interacting with RGS1 were identified using PPI network, and the functional and immune correlations were analyzed. Based on the expression of RGS1 and related genes, the consensus clustering method was used to divide CESC patients into two groups (group 1, high expression of RGS1; group 2, low expression of RGS1). Then, the functional enrichment analysis was used to search for the functional differences in differentially expressed genes (DEGs) between group 1 and group 2. Immune infiltration analysis was performed using ESTIMATE, CIBERSORT, and ssGSEA, and the differences in expression of immune checkpoint inhibitors (ICIs) targets were assessed between the two groups. We investigated the effect of RGS1 on the clinical relevance of CESC patients, and experimentally verified the differences in RGS1 expression between cervical cancer patient tissues and normal cervical tissues, the role of RGS1 in cell function, and the effect on tumor growth in tumor-bearing mice. Results We found that RGS1 was associated with CD4, GNAI3, RGS2, GNAO1, GNAI2, RGS20, GNAZ, GNAI1, HLA-DRA and HLA-DRB1, especially CD4 and RGS2. Functional enrichment of DEGs was associated with T cell activation. Compared with group 2, group 1 had stronger immune infiltration and higher ICI target expression. RGS1 had higher expression in cervical cancer tissues than normal tissues, especially in HPV-E6 positive cancer tissues. In cervical cancer cell lines, knockdown of RGS1 can inhibited cell proliferation, migration, invasion, and tumor growth in nude mice and promoted apoptosis. Conclusions RGS1, as an oncogenic gene of cervical cancer, affects the immune microenvironment of patients with cervical cancer and may be a target of immunotherapy.
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- 2022
22. δ26Mg-δ13C-δ18O systems as geochemical tracers for dolomite recrystallization: A case study of lower Ordovician dolomite from Tarim Basin
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Hairuo Qing, Zhanfeng Qiao, Siyang Zhang, Jason Cosford, Anping Hu, Feng Liang, Yongsheng Wang, and Jianfeng Zheng
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Geochemistry and Petrology ,Geology - Published
- 2023
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23. The Gaussian Mutational Barebone Dragonfly Algorithm: From Design to Analysis
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Li Yuan, Fangjun Kuang, Siyang Zhang, and Huiling Chen
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Physics and Astronomy (miscellaneous) ,Chemistry (miscellaneous) ,General Mathematics ,dragonfly algorithm ,swarm intelligence ,Gaussian mutation ,Gaussian barebone ,engineering design problem ,Computer Science (miscellaneous) - Abstract
The dragonfly algorithm is a swarm intelligence optimization algorithm based on simulating the swarming behavior of dragonfly individuals. An efficient algorithm must have a symmetry of information between the participating entities. An improved dragonfly algorithm is proposed in this paper to further improve the global searching ability and the convergence speed of DA. The improved DA is named GGBDA, which adds Gaussian mutation and Gaussian barebone on the basis of DA. Gaussian mutation can randomly update the individual positions to avoid the algorithm falling into a local optimal solution. Gaussian barebone can quicken the convergent speed and strengthen local exploitation capacities. Enhancing algorithm efficiency relative to the symmetric concept is a critical challenge in the field of engineering design. To verify the superiorities of GGBDA, this paper sets 30 benchmark functions, which are taken from CEC2014 and 4 engineering design problems to compare GGBDA with other algorithms. The experimental result show that the Gaussian mutation and Gaussian barebone can effectively improve the performance of DA. The proposed GGBDA, similar to the DA, presents improvements in global optimization competence, search accuracy, and convergence performance.
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- 2022
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24. Chemical Polishing of Perovskite Surface Enhances Photovoltaic Performances
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Lichen Zhao, Qiuyang Li, Cheng-Hung Hou, Shunde Li, Xiaoyu Yang, Jiang Wu, Siyang Zhang, Qin Hu, Yanju Wang, Yuzhuo Zhang, Yufeng Jiang, Shuang Jia, Jing-Jong Shyue, Thomas P. Russell, Qihuang Gong, Xiaoyong Hu, and Rui Zhu
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Colloid and Surface Chemistry ,General Chemistry ,Biochemistry ,Catalysis - Abstract
The benefits of excess PbI
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- 2022
25. Research on the Construction of a Virtual Interactive Mountaineering Map of Mount Everest
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Youru Wu, Yun Wang, Siyang Zhang, and Lu Chen
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- 2022
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26. Design and Evaluation: Virtual Reality Haptic Interface to Enhance User Experience
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Siyang Zhang, Yun Wang, Youru Wu, Sixuan Nie, and Lu Chen
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Haptic interface is a platform that convey haptic stimuli to represent and transmit information through touch. This paper systematically focus the achievements of haptic interface and multisensory interaction in virtual reality environment on perspectives of human-computer interaction research: immersive experience and emotional expression, and proposes an evaluation system based on the Quality of Experience (QoE) model aimed to quantitatively analyze and enhance human-computer interaction user experience in haptic interfaces with its statistical significance, which assists researchers and engineers to research, develop, and utilize haptic interaction technologies in virtual reality environments.
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- 2022
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27. Feasibility Study of CO2 Sequestration in Lloydminster Heavy Oil Reservoir and Underlying Precambrian Deadwood Saline Aquifer
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Chen SHEN, Bo Wang, Siyang Zhang, Hairuo Qing, Saman Azadbakht, and Fanhua Zeng
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History ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2022
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28. E-Scooter Simulator Study of Rider Behavior and Facility Choice
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Weitong Qi, Joseph Reneker, Carlos Sun, Mohammadmehdi Zoghifard, and Siyang Zhang
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History ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2022
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29. An Analysis of Optimized Asian Options
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Kuijun Chen, Yanni Lu, and Siyang Zhang
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- 2022
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30. Structure Design and Simulation Analysis of Intelligent Bookcase for Home
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Xi Qu, SiYang Zhang, XiongTao Zhu, and Yifan Wang
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- 2021
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31. Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection
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Zhangze Xu, Ali Asghar Heidari, Fangjun Kuang, Ashraf Khalil, Majdi Mafarja, Siyang Zhang, Huiling Chen, and Zhifang Pan
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Artificial Intelligence ,General Engineering ,Computer Science Applications - Published
- 2023
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32. PRPF6 Induces the Alternative Splicing of lncRNA SNHG16 To Promote Progression and Paclitaxel Resistance of Ovarian Cancer via Regulating GATA3 Transcription
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Han Wang, Yingying Zhou, Siyang Zhang, Ya Qi, and Min Wang
- Abstract
Background Small nucleolar RNA host gene 16 (SNHG16) and pre-mRNA processing factor 6(PRPF6) play vital roles in regulatory mechanisms of multiple cancers, but the mechanisms in ovarian cancer (OC) remains poorly understood. Methods The expression of SNHG16 transcripts-SNHG16-L/S in OC tissues were analyzed by real-time PCR (RT-PCR). The expression of PRPF6 in OC tissues were detected by Immunohistochemistry (IHC). Tumorigenesis, epithelial-to-mesenchymal transition (EMT) and PTX-resistance were detected by western blot, transwell, CCK-8 assays, colony formation assays and flow cytometry analyses. Molecular interactions were examined by dual-luciferase reporter gene assay, RNA immunoprecipitation (RIP) and chromatin immunoprecipitation (ChIP). Results The results indicated the expression of SNHG16-L/S was opposite in chemo-resistance and chemo-sensitivity tissues of OC. And SNHG16-L/S had different effects on the progression and PTX-resistance of OC cells. SNHG16-L inhibited GATA binding protein 3 (GATA3) transcription through CCAAT/enhancer-binding protein b (CEBPB) to further promote tumorigenesis, EMT and PTX-resistance of OC. Moreover, PRPF6 was upregulated in chemo-resistance tissues of OC. PRPF6 promoted tumorigenesis and PTX-resistance in vitro and in vivo. Mechanistically, PRPF6 induced the alternative splicing of SNHG16 to downregulate SNHG16-L, which further mediated progression and PTX-resistance through upregulating GATA3 in OC. Conclusions Totally, the results demonstrated that PRPF6 promoted progression and PTX-resistance in OC through SNHG16-L/CEBPB/GATA3 axis. Thus, PRPF6 may become a valuable target for OC therapy.
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- 2021
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33. CBLL1 is highly expressed in non‐small cell lung cancer and promotes cell proliferation and invasion
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Qingfu Zhang, Hongjiu Ren, Siyang Zhang, Muli Wudu, Xueshan Qiu, Yitong Xu, and Linping Hui
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0301 basic medicine ,Lung Neoplasms ,Colorectal cancer ,medicine.disease_cause ,0302 clinical medicine ,Cell Movement ,Carcinoma, Non-Small-Cell Lung ,Gene knockdown ,biology ,General Medicine ,Cadherins ,invasion ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Ubiquitin ligase ,Extracellular Matrix ,Tumor Burden ,Up-Regulation ,Gene Expression Regulation, Neoplastic ,Oncology ,Matrix Metalloproteinase 9 ,E3 ubiquitin ligase ,CBLL1 ,030220 oncology & carcinogenesis ,Gene Knockdown Techniques ,Matrix Metalloproteinase 2 ,Original Article ,Pulmonary and Respiratory Medicine ,non‐small cell lung cancer ,Epithelial-Mesenchymal Transition ,Ubiquitin-Protein Ligases ,proliferation ,lcsh:RC254-282 ,03 medical and health sciences ,Downregulation and upregulation ,Antigens, CD ,Cell Line, Tumor ,medicine ,Humans ,Neoplasm Invasiveness ,Lung cancer ,Cell Proliferation ,Cell growth ,Cadherin ,business.industry ,E‐cadherin ,Original Articles ,medicine.disease ,respiratory tract diseases ,030104 developmental biology ,A549 Cells ,biology.protein ,Cancer research ,Neoplasm Grading ,Carcinogenesis ,business - Abstract
Background Studies have shown that E3 ubiquitin ligase CBLL1 plays multiple roles in development and tumorigenesis. CBLL1 is over-expressed in colon cancer and associated with cancer cell proliferation. While, the overexpression of CBLL1 inhibited the estrogenic dependent cell proliferation and migration in ER alpha dependent breast cancer cell MCF-7. Methods We used an immunohistochemical method to detect CBLL1 expression in human NSCLC and corresponding normal lung tissues and analyzed its relationship with clinicopathological parameters. Moreover, we investigated the role of CBLL1 in NSCLC cell behavior by inhibiting its expression in A549 and H1299 cells. Results In this study, we found that CBLL1 was frequently upregulated in non-small lung cancer (NSCLC) tissues compared to the adjacent nontumor tissues. We found that the high expression of CBLL1 was associated with the tumor size in NSCLC tissues. It has been recently reported that CBLL1 promotes cell proliferation and invasion in A549 and H460 cells. Our results confirmed that CBLL1 promoted the proliferation by promoting G1/S cell cycle transition in NSCLCs cells. Moreover, CBLL1 knockdown inhibited cell invasion via increased E-cadherin protein expression, and decreased expression of MMP2 and MMP9 in NSCLC cell lines. The protein expression of E-cadherin was increased after CBLL1 depletion while the E-cadherin mRNA was not affected after knockdown of the endogenous CBLL1. Conclusion These results provide important insights for using CBLL1 as an oncogenic marker gene in the development and progression of non-small cell lung cancer.
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- 2019
34. Structure design and optimization of oil-contaminated microplastic combination cleaning vessel
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Yuchen Ma and Siyang Zhang
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History ,Computer Science Applications ,Education - Abstract
This paper based on the analysis of existing oil removal boats, a new practical, simple and economic oil treatment boat is designed, while using magnetic fluid, adsorption and collection of microplastics, and this solution can replace the manual completion of the sea surface oil cleaning work. The main contents include: design of motion mechanism for collecting oil pollution, microplastic filtering device. The 3D modeling of the hull was established and the motion simulation was carried out by using SolidWorks. Finite element analysis of various load-bearing structures was carried out using ANSYS to verify the rationality of each structure. The control system was designed, and the hardware part was designed with circuitry for the operating system according to the actual needs.
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- 2022
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35. Air quality affects house prices — Analysis based on RD of the Huai River policy
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Siyang Zhang, Yuding Zhou, and Pengpeng Xu
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Renewable Energy, Sustainability and the Environment ,Geography, Planning and Development ,Transportation ,Civil and Structural Engineering - Published
- 2022
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36. CircGNG4 Promotes the Progression of Prostate Cancer by Sponging miR-223 to Enhance EYA3/c-myc Expression
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Siyang Zhang, Hongtuan Zhang, Zhenpeng Lian, Yong Xu, and Shengxian Xu
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0301 basic medicine ,QH301-705.5 ,circGNG4 ,03 medical and health sciences ,Prostate cancer ,Cell and Developmental Biology ,0302 clinical medicine ,mir-223 ,Downregulation and upregulation ,c-myc ,Circular RNA ,microRNA ,Gene expression ,Medicine ,Biology (General) ,Transcription factor ,Original Research ,Gene knockdown ,business.industry ,circular RNA ,Cell Biology ,medicine.disease ,prostate cancer ,miR-223 ,030104 developmental biology ,030220 oncology & carcinogenesis ,Cancer research ,business ,EYA3 ,Developmental Biology - Abstract
Patients diagnosed with prostate cancer often have a poor prognosis and limited treatment options, as the specific pathogenesis remains to be elucidated. Circular RNA (circRNA) is a type of non-coding RNA that interacts with microRNA (miRNA/miR) and transcription factors to regulate gene expression. However, little is known about specific circRNAs that serve roles in the pathogenesis of prostate cancer. Findings of the present study confirmed that circRNA G protein subunit γ 4 (circGNG4) was upregulated in prostate cancer tissues and cell lines. Knockdown of circGNG4 inhibited the malignant behavior of prostate cancer cells. Furthermore, bioinformatics were used to predict targeting interactions between circGNG4 or miR-223 and EYA transcriptional coactivator and phosphatase 3 (EYA3)/c-Myc mRNA. miR-223 inhibited the malignant behavior of prostate cancer cells, while EYA3/c-Myc had the opposite effect. circGNG4 enhanced the expression of EYA3/c-Myc by sponging miR-223 to promote the growth of prostate cancer tumors in vivo. In conclusion, the circGNG4/miR-223/EYA3/c-Myc regulatory pathway promoted the malignant progression of prostate cancer. The results of the present study may provide potential new targets for the diagnosis or treatment of prostate cancer.
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- 2021
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37. Asset Specificity on the Intention of Farmers to Continue Land Recuperation: Based on the Perspective of Farmer Differentiation
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Siyang Zhang, Minjuan Zhao, and Xianxiong Xie
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Global and Planetary Change ,Agricultural development ,Ecology ,05 social sciences ,Perspective (graphical) ,0211 other engineering and technologies ,021107 urban & regional planning ,Agriculture ,02 engineering and technology ,Cultivated land ,Human capital ,Asset specificity ,Agricultural science ,double-hurdle model ,farmer differentiation ,0502 economics and business ,Survey data collection ,050202 agricultural economics & policy ,Business ,Location ,Nature and Landscape Conservation ,subsequent land recuperation willingness ,asset specificity - Abstract
Land recuperation is an important institutional guarantee for green agricultural development and an important measure to promote rural revitalization. Asset specificity is a crucial factor that affects farmers’ subsequent willingness to participate in land recuperation. Based on the perspective of farmer differentiation, this study uses survey data of 605 farmers in four counties of Gansu Province and employs the entropy method and the double-hurdle model to measure asset specificity and how it affects the subsequent willingness of different types of farmers to participate in land recuperation. The results show that: (1) farmers’ willingness to participate in land recuperation increases with the degree of their part-time occupations, (2) geographical location specificity has a significant negative effect on farmers’ intention and degree of subsequent land recuperations, and the impacts on non-farmers and II part-time farmers are significantly smaller than that on pure farmers and part-time farmers, (3) physical asset specificity has the most negligible influence on farmers’ subsequent willingness to participate, (4) human capital specificity has a significant negative impact on the intention and degree of land recuperation by farmers, and the effect is more significant for pure farmers than non-farmers, (5) factors such as land recuperation compensation satisfaction, land recuperation policy trust, social connection, and off-farm employment willingness promote the subsequent land recuperation willingness and degree of land recuperation of farmers, while the cultivated land area reduces the subsequent degree of participation in land recuperation.
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- 2021
38. Multi-behavior Recommendation Based on Simplified Graph Convolutional Networks
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Kang Wang, Xiaoli Li, Hongfei Yu, Xinhua E, and Siyang Zhang
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Computer science ,business.industry ,Big data ,Recommender system ,computer.software_genre ,Data modeling ,Order (business) ,Bipartite graph ,Embedding ,Graph (abstract data type) ,Data mining ,Layer (object-oriented design) ,business ,computer - Abstract
There are a large amount of user behavior data in the recommendation system. The types of user behaviors are various, such as click, favorite, like, purchase and so on. However, most of the existing recommendation methods only consider single user behavior, such as purchase, ignoring the influence of auxiliary behavior data on target behavior. In order to make full use of multi-behavior data and further improve the recommendation performance, multi-behavior recommendation based on simplified graph convolutional networks(SGCNMB) is proposed in this paper. The SGCNMB model firstly initializes the embedding vectors for users and items in the shared embedding layer; then, in the embedding propagation layer, the simplified graph convolutional network is exploited to learn the user representations and item representations on a single behavior, the users' preferences on different single behavior are calculated respectively; finally, through the fusion prediction layer, the users' preferences on various behaviors are fused to get the top-n recommendation results of users on the target behavior. Extensive experiments were conducted on two real-world multi-behavior datasets. The experimental results demonstrate that SGCNMB can effectively take advantage of multi-behavior interaction data to further improve the recommendation performance.
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- 2021
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39. MicroRNA‑219a‑2‑3p modulates the proliferation of thyroid cancer cells via the HPSE/cyclin D1 pathway
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Siyang Zhang, Yonglian Huang, Zhen Liu, Chuanjia Yang, Dongxu Cui, and Xiaoying Chang
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Cancer Research ,Oncogene ,Cell growth ,Cancer ,Articles ,General Medicine ,Biology ,Cell cycle ,medicine.disease ,Cyclin D1 ,Immunology and Microbiology (miscellaneous) ,microRNA ,Cancer research ,medicine ,Heparanase ,Thyroid cancer - Abstract
Heparanase (HPSE) is an endo-β-D-glucuronidase overexpressed in different types of human cancer, and a predicted target of microRNA (miRNA/miR)-219a-2-3p in thyroid cancer. The present study aimed to investigate the potential role of HPSE and miR-219a-2-3p in thyroid cancer, and the molecular mechanism of miR-219a-2-3p regulating the proliferation of thyroid cancer cells via HPSE was confirmed. Immunohistochemistry analysis was performed to detect HPSE expression in thyroid cancer sections. In addition, reverse transcription-quantitative PCR analysis was performed to detect mRNA and miR-219a-2-3p expression levels in thyroid cancer samples and cell lines. miR-219-2-3p mimic or HPSE plasmid were transfected into B-CPAP and TPC-1 thyroid cancer cells. Furthermore, western blot analysis was performed to detect the protein expression levels of HPSE and cyclin D1. Cell cycle analysis was performed using propidium iodide staining and flow cytometry, and EdU incorporation was performed to detect cell proliferation. The results demonstrated that high HPSE expression was significantly associated with tumor size, extracapsular invasion and lymph node metastasis. Notably, a statistically negative correlation was observed between HPSE mRNA expression and miR-219a-2-3p expression in thyroid cancer tumors, as well as in thyroid cancer cell lines. When exogenously expressed in B-CPAP and TPC-1 cells, miR-219a-2-3p induced cell cycle arrest at the G(0)/G(1) phase and decreased the percentage of proliferating cells. Furthermore, HPSE and cyclin D1 protein expression decreased following transfection with miR-219a-2-3p. Notably, when HPSE was ectopically expressed in miR-219a-2-3p transfected cells, cyclin D1 expression and the number of proliferative cells increased. Taken together, these results suggest that HPSE contributes to the proliferation of thyroid cancer cells. In addition, miR-219a-2-3p was confirmed to target HPSE and inhibit cell proliferation, which was associated with cyclin D1 suppression-mediated cell cycle arrest.
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- 2021
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40. Modelling Farmers' Watershed Ecological Protection Behaviour with the Value-Belief-Norm Theory: A Case Study of the Wei River Basin
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Siyang Zhang, Yu Cai, Minjuan Zhao, and Qi Ni
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China ,Watershed ,Health, Toxicology and Mutagenesis ,Drainage basin ,050109 social psychology ,individual norm ,Social value orientations ,Structural equation modeling ,Article ,Rivers ,Surveys and Questionnaires ,0502 economics and business ,Causal chain ,Humans ,watershed belonging ,watershed ecological protection behaviour ,0501 psychology and cognitive sciences ,050207 economics ,Sustainable development ,extended value-belief-norm theory ,geography.geographical_feature_category ,Farmers ,Ecology ,05 social sciences ,Public Health, Environmental and Occupational Health ,Agriculture ,Geography ,Medicine ,social capital ,Norm (social) ,Social capital ,Wei River Basin - Abstract
Encouraging farmers to protect their environment is of great significance in improving watershed ecological environments and promoting the sustainable development of the watershed economy. To explore the factors influencing farmers’ ecological protection behaviours in the river basin, we constructed a structural equation model to analyse the survey questionnaire responses of 719 farmers in the Wei River Basin, Shaanxi Province, China. The theoretical framework incorporated farmers’ watershed belonging and social capital into an extended value-belief-norm model. Robustness tests revealed that incorporating these variables was valid. Personality norms, watershed belonging, and social capital all had direct positive effects on farmers’ watershed ecological protection behaviour. Value orientation, environmental concern, consequences awareness, and responsibility attribution influenced the next variable in a causal chain and finally acted on watershed ecological protection behaviour indirectly through personality norms. Farmers’ watershed belonging and social capital positively impacted individual norm, through this, there was an indirect positive impact on their watershed ecological protection behaviour. Moreover, watershed belonging and social capital reinforced each other.
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- 2021
41. Inhibition of metastatic bone cancer with a cascade targeting of docetaxel
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Liang Wei, Dong Zhang, Bin Xiong, Siyang Zhang, Yuangang Zu, and Shougang Jiang
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History ,Polymers and Plastics ,Pharmaceutical Science ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2022
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42. Protrusion‐Rich Cu@NiRu Core@shell Nanotubes for Efficient Alkaline Hydrogen Evolution Electrocatalysis
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Xuan Liu, Siyang Zhang, Jiashun Liang, Shenzhou Li, Hao Shi, Jinjia Liu, Tanyuan Wang, Jiantao Han, and Qing Li
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Biomaterials ,General Materials Science ,General Chemistry ,Biotechnology - Abstract
The development of highly efficient and durable water electrolysis catalysts plays an important role in the large-scale applications of hydrogen energy. In this work, protrusion-rich Cu@NiRu core@shell nanotubes are prepared by a facile wet chemistry method and used for catalyzing hydrogen evolution reaction (HER) in an alkaline environment. The protrusion-like RuNi alloy shells with accessible channels and abundant defects possess a large surface area and can optimize the surface electronic structure through the electron transfer from Ni to Ru. Moreover, the unique 1D hollow structure can effectively stabilize RuNi alloy shell through preventing the aggregation of nanoparticles. The synthesized catalyst can achieve a current density of 10 mA cm
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- 2022
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43. An Empirical Study on the Regional Distribution and Influencing Factors of Community Development Foundations
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Siyang Zhang
- Subjects
Geography ,Empirical research ,business.industry ,Regional science ,Distribution (economics) ,Community development ,business - Published
- 2021
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44. The Role of Long Period Stacking Ordered Phase in Dynamic Recrystallization of a Mg–Gd–Y–Zn–Zr Alloy during Multi-Directional Forging Process
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Wenlong Xu, Huisheng Yu, Guoqin Wu, Leichen Jia, Siyang Zhang, Yingze Meng, and Huiling Liu
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Mg–Gd–Y–Zn–Zr alloy ,LPSO phase ,multi-directional forging process ,dynamic recrystallization ,texture ,Materials science ,Alloy ,Nucleation ,engineering.material ,lcsh:Technology ,Forging ,Article ,Phase (matter) ,General Materials Science ,Lamellar structure ,Texture (crystalline) ,Composite material ,lcsh:Microscopy ,lcsh:QC120-168.85 ,lcsh:QH201-278.5 ,lcsh:T ,Microstructure ,lcsh:TA1-2040 ,engineering ,Dynamic recrystallization ,lcsh:Descriptive and experimental mechanics ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,lcsh:Engineering (General). Civil engineering (General) ,lcsh:TK1-9971 - Abstract
The Mg–Gd–Y–Zn–Zr alloy containing a long period stacking ordered (LPSO) phase was subjected to multi-pass deformation by means of a multi-directional forging process, and the microstructure evolution and the influence of the LPSO phase on its dynamic recrystallization (DRX) were studied. The results showed that multi-directional forging can effectively refine the grain with the DRX fraction increased, and DRXed grains lead to the decrease of the texture intensity, which can significantly improve the mechanical properties of the alloy. The different morphologies of the LPSO phase have different degrees of promotion relative to DRX behavior. The lamellar LPSO phase with kinks promoted dislocation plugging, where there could be a potential nucleation site for DRX grains. The fragmented lamellar LPSO phase promoted the DRX process through the particle-stimulated nucleation mechanism, and the block-shaped phase was more prone to stress concentration, which promoted DRX. These effects resulted in continuous grain refinement and a more uniform microstructure.
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- 2020
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45. Heparanase regulates cell proliferation, apoptosis, migration and invasion of papillary thyroid carcinoma cells with multiple signaling pathways involved
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Dongxu Cui, Siyang Zhang, Yonglian Huang, Chuanjia Yang, Zhen Liu, and Xiaoying Chang
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Thyroid carcinoma ,Apoptosis ,Cell growth ,Cancer research ,Heparanase ,Biology ,Signal transduction - Abstract
Background Heparanase (HPSE) is an endo-β-D-glucuronidase, which is found overexpressed in various human cancers. The purpose of our work was to investigate the possible role of HPSE and the involved signaling molecules in the development of papillary thyroid carcinoma (PTC). Methods The expression of HPSE was examined in 80 samples of PTC by immunohistochemistry. In cell studies, the expression plasmid of HPSE and RNA interference with shRNA specific for HPSE were used to elucidate the effects of HPSE on proliferation, apoptosis, migration and invasion in PTC cells of B-CPAP and KTC-1. The probable downstream signaling molecules of HPSE were also explored. Results 75.0% (60 out of 80) of PTC samples was detected high expression of HPSE, which was significantly correlated with tumor size, lymph node metastasis and stage status. In cell studies, the upregulation of HPSE significantly promoted cell proliferation, migration and invasion of B-CPAP and KTC-1 cells, and interfered with cell apoptosis. On the contrary, knockdown of HPSE exhibited the opposite effects. Compared with the parental cells, HPSE silencing cells showed attenuated capabilities of proliferation, migration and invasion, yet the apoptotic rate of transfected cells was increased. The activations of various signaling molecules correlated with cell biological behavior were found to be regulated by HPSE upregulation or knockdown. Conclusions Our results suggested that HPSE probably contributed to the progression and metastasis of PTC, which were associated with multiple signaling pathways. HPSE could be a potent molecular target for the therapeutic strategy of PTC.
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- 2020
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46. Simulator and Field Study of Green Lights on Truck-Mounted Attenuators in Missouri during Mobile Operations
- Author
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Henry Brown, Carlos Sun, Praveen Edara, Zhu Qing, and Siyang Zhang
- Subjects
Truck ,050210 logistics & transportation ,Computer science ,Mechanical Engineering ,05 social sciences ,Highway maintenance ,Field (computer science) ,Automotive engineering ,03 medical and health sciences ,0302 clinical medicine ,0502 economics and business ,030221 ophthalmology & optometry ,Pothole ,Civil and Structural Engineering - Abstract
Mobile work zones for various types of moving operations (e.g., striping, pothole patching, sweeping) are an important component in highway maintenance activities which have particular safety issues. To help mitigate the risk and severity of collisions, a truck-mounted attenuator (TMA) is attached to a construction vehicle, typically equipped with amber/white lights. Despite these visible warnings, collisions involving TMAs and traffic still occur. In an effort to improve upon the traditional amber/white lights, the use of green lights on TMAs was investigated. The study included the evaluation of four light-color configurations: amber/white, green only, green/amber, and green/white. Driving simulator tests obtained various driver behavior measures, including the first blinker distance, merge distance, work zone and arrow direction recognition distance, and disability glare. Vehicle speeds were captured in both a simulator study and a field study. In the simulator study, the use of the amber/white combination led to the highest work zone visibility but also created the greatest concern with disability glare. Although the green-only configuration led to the lowest disability glare, it also resulted in low visibility. The results showed an inverse relationship between visibility (awareness of work zone) and arrow board recognition (easy on eyes). Other findings from the field study include lower traffic speeds for the green light TMA and lower vehicle speeds for lower TMA vehicle speeds. Overall, the study showed that the four configurations had various tradeoffs and none stood out as clearly superior in terms of the performance measures.
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- 2019
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47. Smartphone App for Residential Testing of Formaldehyde (SmART-Form)
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Siyang Zhang, Gretchen Gehrke, Sarah R. Haines, Jessica Castner, Beverly Guo, Jianshun Zhang, Zhenlei Liu, Nicholas Shapiro, Romesh Prasad, Paige Frey, Rongjun Qin, Karen C. Dannemiller, and David Kormos
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Environmental Engineering ,Computer science ,Geography, Planning and Development ,0211 other engineering and technologies ,02 engineering and technology ,Building and Construction ,010501 environmental sciences ,01 natural sciences ,Phone ,Human–computer interaction ,Smartphone app ,Research studies ,Citizen science ,Screening tool ,021108 energy ,User interface ,FORMALDEHYDE EXPOSURE ,0105 earth and related environmental sciences ,Civil and Structural Engineering - Abstract
Chemical contamination is ubiquitous in the indoor environment, but measurement options are often limited outside of research studies. This is especially true for formaldehyde, a known carcinogen and irritant. The goal of this project was to develop a novel screening tool: a smartphone-based app that can be paired with low-cost colorimetric badges for detection of indoor formaldehyde. The target users include citizen scientists, concerned citizens, public health nurses visiting homes, and researchers with relevant measurement needs. The user interface was designed using a collaborative development model. Badges were exposed to air for 72 h, and the user takes images that are analyzed in the phone. The app itself measures illumination (lightness) to determine color change, which was associated with formaldehyde concentration (R2 = 0.8811, P 80%) relative humidity. Co-exposure to acetaldehyde or a VOC mixture did not interfere with measurement (P = 0.93, P = 0.07, respectively). Overall, this screening tool can provide inexpensive, accessible information to users about their formaldehyde exposure, which can inform further testing and potential remediation activities.
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- 2019
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48. Carrying the T Allele of the SNP rs574344, an eQTL of GSTM1, Contributes to Longevity in the Han Chinese Population
- Author
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Wangwei Cai, Siyang Zhang, Binbin Wang, Hong Pan, Yunxia Zhang, Tengyan Li, Xianshou Wang, Beihong Liu, and Dongjing Yan
- Subjects
Adult ,Male ,China ,Han chinese ,media_common.quotation_subject ,Longevity ,Quantitative Trait Loci ,Biology ,Polymorphism, Single Nucleotide ,Asian People ,Gene Frequency ,Ethnicity ,Odds Ratio ,Humans ,SNP ,Allele ,neoplasms ,Alleles ,Genetic Association Studies ,Genetics (clinical) ,Aged ,Glutathione Transferase ,media_common ,Aged, 80 and over ,Genetics ,integumentary system ,Successful aging ,General Medicine ,Middle Aged ,Case-Control Studies ,Expression quantitative trait loci ,GSTM1 Gene ,Female - Abstract
There has been recent recognition that the GSTM1 gene is associated with successful aging and longevity. It has been hypothesized that individuals with a GSTM1 deletion are at a greater risk for developing a plethora of diseases. This study was carried out to investigate the association between the rs574344 single nucleotide polymorphism, an expression quantitative trait locus of GSTM1, and longevity in the Han Chinese population.We performed a case-control study that comprised 526 long-lived subjects (97 years of age) and 783 younger subjects (aged 19-80 years) from the general population who served as controls. Identification of the genotypes of rs574344 was accomplished by combining polymerase chain reaction with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.The long-lived study population, when compared with the controls, showed a significantly higher frequency of the T/T genotype and the T allele of rs574344. We determined that the T/T genotype is associated with a longer lifespan (OR = 5.972, 95% CI 1.798-19.833, p = 0.001, for all genders; p = 0.006 adjusted by gender). We also observed a significant difference (p 0.05) in the distribution of alleles and genotypes in both the male group (TT vs. TA, OR = 1.043, 95% CI 1.022-1.067, p = 0.043) and the female group (TT vs. TA, OR = 3.592, 95% CI 0.982-13.147, p = 0.039) Conclusion: We found significant associations between both the T allele and the T/T genotype of rs574344 with longevity in the Han Chinese population.
- Published
- 2019
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49. A Multi-Level Author Name Disambiguation Algorithm
- Author
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Xinhua E, Siyang Zhang, and Tian Pan
- Subjects
General Computer Science ,Associative processing ,business.industry ,Computer science ,Big data ,General Engineering ,Information quality ,Graph theory ,data handling ,Graph ,Credibility ,informatics ,Graph (abstract data type) ,General Materials Science ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,clustering algorithms ,Cluster analysis ,business ,lcsh:TK1-9971 ,Algorithm - Abstract
With the rapid development of information technology, the name ambiguity problem has become one of the primary issues in the fields of information retrieval, data mining, and scientific measurement. Name disambiguation is used to promote computer technology and big data information, which maps virtual relational networks to real social networks to solve the problem that the same name points to multiple entities. At present many literature search platforms launched their respective scholar system, name ambiguity problem will inevitably affect the precision of other information calculations, reduce the credibility of the system, and affect the information quality and content quality. Most work deals with this issue by using graph theory and clustering. However, the name disambiguation problem is still not well resolved. In this paper, we propose a multi-level name disambiguation algorithm. This algorithm is mainly based on the unsupervised algorithm, which combines hierarchical agglomerative clustering (HAC) and graph theory for disambiguating. The experimental results show that the proposed solution achieves clearly better performance (+17 ~ 25% in terms of F1-Measure) than several methods, including HAC and Graph.
- Published
- 2019
- Full Text
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50. Functional analysis of PGI1 and ZWF1 in thermotolerant yeast Kluyveromyces marxianus
- Author
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Shuai Zeng, Zeng Xin, Xu Dayong, Siyang Zhang, Biao Zhang, Lili Ren, and Li Feng
- Subjects
Kluyveromyces lactis ,0303 health sciences ,Glucose-6-phosphate isomerase ,Xylose ,biology ,030306 microbiology ,General Medicine ,Saccharomyces cerevisiae ,Pentose phosphate pathway ,biology.organism_classification ,Applied Microbiology and Biotechnology ,Yeast ,03 medical and health sciences ,Metabolic pathway ,chemistry.chemical_compound ,Kluyveromyces ,Glucose ,Biochemistry ,chemistry ,Kluyveromyces marxianus ,Fermentation ,Glycolysis ,030304 developmental biology ,Biotechnology - Abstract
Glycolysis and the pentose phosphate pathway (PPP) are two basic metabolic pathways that are simultaneously present in yeasts. As the main pathway in most species, the glycolysis provides ATP and NADH for cell metabolism while PPP, as a complementary pathway, supplies NADPH. In this study, the performance of Kluyveromyces marxianus using glycolysis or PPP were studied through the disruption of PGI1 or ZWF1 gene, respectively. K. marxianus using glycolysis as the only pathway showed higher ethanol production ability than that of the Kluyveromyces lactis zwf1Δ mutant; K. marxianus using only PPP showed more robustness than that of Saccharomyces cerevisiae pgi1Δ mutant. Additionally, K. marxianus pgi1Δ strain accumulated much more intracellular NADPH than the wild type strain and co-utilized glucose and xylose more effectively. These findings suggest that phosphoglucose isomerase participates in the regulation of the repression of glucose on xylose utilization in K. marxianus. The NADPH/NADP+ ratio, dependent on the activity of the PPP, regulated the expression of multiple genes related to NADPH metabolism in K. marxianus (including NDE1, NDE2, GLR1, and GDP1). Since K. marxianus is considered a promising host in industrial biotechnology to produce renewable chemicals from plant biomass feedstocks, our research showed the potential of the thermotolerant K. marxianus to produce NADP(H)-dependent chemical synthesis from multiple feedstocks. KEY POINTS: • The function of PGI1 and ZWF1 in K. marxianus has been analyzed in this study. • K. marxianus zwf1Δ strain produced ethanol but with decreased productivity. • K. marxianus pgi1Δ strain grew with glucose and accumulated NADPH. • K. marxianus pgi1Δ strain released glucose repression on xylose utilization.
- Published
- 2020
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