16 results on '"Guo, Yuyao"'
Search Results
2. Collaborative optimization of linear vibrating screen screening efficiency and dynamic response stability based on coupled DEM-MBK simulation
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Xia, Xuhui, Gou, Lingxiao, Zhang, Zelin, Wang, Lei, Guo, Yuyao, and Jing, Weimin
- Abstract
The dynamic response stability of the vibrating screen is an important factor affecting the screening effect and the structural performance of the vibrating screen. In this paper, to improve dynamic response stability and screening efficiency, we optimized the configuration of linear screening process parameters based on the co-optimization method with dual objectives via the virtual experiment. Firstly, a coupled DEM-MBK simulation model was established according to the dynamics of linear screen, and the dynamic response law of the screen machine under material impact was investigated. Secondly, the quantitative index of dynamic response stability according to the time-domain characteristics of the centroid amplitude was established. The trend and significance of three types of screening process parameters, including excitation, damping and structure, on the screening efficiency and dynamic response stability were analyzed through virtual orthogonal experiments. Finally, a parameter configuration scheme to achieve co-optimization was proposed based on the comprehensive balance method. The virtual experiment results show that the screening efficiency and dynamic response stability of the proposed scheme are improved by 3.28% and 49.07%, respectively, compared with the empirical parameter configuration. Obviously, the co-optimization method can maintain high screening efficiency and dynamic response stability at the same time, which is beneficial to improve the service life of the screen surface and screen body.
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- 2023
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3. An Improved Eclat Algorithm based Association Rules Mining Method for Failure Status Information and Remanufacturing Machining Schemes of Retired Products.
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Wang, Lei, Guo, Yan, Guo, Yuyao, Xia, Xuhui, Zhang, Zelin, and Cao, Jianhua
- Abstract
Mining association rules between failure status information (FSI) and remanufacturing machining schemes (RMMS), and establishing their association rule base, is the basis and prerequisite for realizing efficient self-decision-making of remanufacturing machining for vast retired mechanical products. In order to mitigate the problem of inefficient mining and insufficient rules due to large and complex data of FSI and RMMS, we proposed an improved K-Means and Eclat Algorithm based association rules mining method. The improved K-Means algorithm is first employed for historical data clustering and dimension reduction. Then, the improved Eclat algorithm is adopted to mine association rules and save them into the base. A real-world use case is conducted to show the effectiveness and superiority of the proposed method. [ABSTRACT FROM AUTHOR]
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- 2023
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4. Fully Integrated Solid-State LiDAR Transmitter on a Multi-Layer Silicon-Nitride-on-Silicon Photonic Platform
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Xu, Weihan, Guo, Yuyao, Li, Xinhang, Liu, Chuxin, Lu, Liangjun, Chen, Jianping, and Zhou, Linjie
- Abstract
We report a LiDAR transmitter incorporating both a hybrid-integrated tunable external cavity laser and a high-resolution 2-D optical phased array beam-steerer. Widely tunable single-mode lasing over a span of approximately 100 nm is achieved with >42 dB side-mode-suppression-ratio, 18 mW output power, and 2.8 kHz linewidth. Two-dimensional beam steering in a field-of-view of 140° × 16° exhibits a beam divergence of 0.051° × 0.016° measured in full width at half maximum. Leveraging the low propagation loss, negligible nonlinear loss, and low thermal sensitivity of silicon nitride, and combining the high mode confinement and efficient thermal tuning of silicon, the device affirms the feasibility of high-power on-chip lasing, power bottleneck elimination, and low on-chip insertion loss. It represents the first demonstration of a fully integrated LiDAR transmitter on the multi-layer silicon-nitride-on-silicon photonic platform, revealing the potential of complementary integration in the effort toward a LiDAR transmitter of sufficient optical power budget.
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- 2023
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5. Autophagy loss impedes cancer-associated fibroblast activation via downregulating proline biosynthesis
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Bai, Jingru, Liu, Tong, Tu, Bo, Yuan, Meng, Shu, Zhaoqi, Fan, Minghe, Huo, Sihan, Guo, Yuyao, Wang, Lina, Wang, Hua, and Zhao, Ying
- Abstract
ABSTRACTCancer-associated fibroblasts (CAFs) are considered one of the most critical stromal cells that interact with pancreatic ductal adenocarcinoma (PDAC) and promote tumor growth, metastasis, and treatment resistance. Previous studies illustrated macroautophagy/autophagy contributes to CAF activation during tumor progression. Here in our study, we found that autophagy deficiency in CAFs impedes CAF activation by inhibiting proline biosynthesis and collagen production. Furthermore, we uncovered that autophagy promotes proline biosynthesis through mitophagy-mediated regulation of NADK2 (NAD kinase 2, mitochondrial), an enzyme responsible for production of mitochondrial NADP(H). Using an orthotopic mouse model of PDAC, we found that inhibiting mitophagy by targeting PRKN (parkin RBR E3 ubiquitin protein ligase) in the stroma reduced tumor weight. Thus, inhibition of CAFs mitophagy might be an attractive strategy for stroma-focused anti-cancer intervention.Abbreviations:ACTA2/α-SMA: actin alpha 2, smooth muscle, aorta; ACTB/β-actin: actin, beta; ALDH18A1/P5CS: aldehyde dehydrogenase 18 family, member A1; ATG3: autophagy related 3; ATG5: autophagy related 5; BNIP3L: BCL2/adenovirus E1B interacting protein 3-like; CAFs:cancer-associated fibroblasts; COL1A1: collagen, type I, alpha 1; DES: desmin; ECM: extracellular matrix; FABP4: fatty acid binding protein 4, adipocyte; FAP/FAPα: fibroblast activation protein; IHC: immunohistochemical staining; LAMP1: lysosomal-associated membrane protein 1; NADK2: NAD kinase 2, mitochondrial; PC1: pro-collagen 1; PDAC: pancreatic ductal adenocarcinoma; PDGFR: platelet derived growth factor receptor; PDPN: podoplanin; PRKN: parkin RBR E3 ubiquitin protein ligase; PSCs: pancreatic stellate cells; VIM: vimentin; WT: wild-type
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- 2023
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6. An Improved Eclat Algorithm based Association Rules Mining Method for Failure Status Information and Remanufacturing Machining Schemes of Retired Products
- Author
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Wang, Lei, Guo, Yan, Guo, Yuyao, Xia, Xuhui, Zhang, Zelin, and Cao, Jianhua
- Abstract
Mining association rules between failure status information (FSI) and remanufacturing machining schemes (RMMS), and establishing their association rule base, is the basis and prerequisite for realizing efficient self-decision-making of remanufacturing machining for vast retired mechanical products. In order to mitigate the problem of inefficient mining and insufficient rules due to large and complex data of FSI and RMMS, we proposed an improved K-Means and Eclat Algorithm based association rules mining method. The improved K-Means algorithm is first employed for historical data clustering and dimension reduction. Then, the improved Eclat algorithm is adopted to mine association rules and save them into the base. A real-world use case is conducted to show the effectiveness and superiority of the proposed method.
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- 2023
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7. Machine learning-based prediction of outdoor thermal comfort: Combining Bayesian optimization and the SHAP model.
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Guo, Ruiqi, Yang, Bin, Guo, Yuyao, Li, He, Li, Zhe, Zhou, Bin, Hong, Bo, and Wang, Faming
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MACHINE learning ,THERMAL comfort ,CITY dwellers ,BODY mass index ,PUBLIC spaces - Abstract
Rising global temperatures have resulted in urban heat waves in recent years, endangering residents' health and even their lives. As a result, accurate outdoor thermal comfort prediction is critical. The goal of this research is to develop highly accurate and interpretable machine learning models of outdoor thermal comfort. We created a summer outdoor thermal comfort dataset for cold regions using microclimate parameter measurements and questionnaires, and divided it into two datasets: without and with shading. The prediction performance of nine machine learning models was compared, as well as their prediction performance following Bayesian optimization. Finally, the SHAP model was used to explain the important features of the best machine learning models and their impact on thermal comfort. The results show that after partitioning the dataset by shading, the accuracy of the best machine learning prediction models for Thermal sensation vote (TSV), Thermal acceptable vote (TA), and Thermal comfort vote (TCV) in the unshaded space improves by 9.2%, 9.31%, and 6.16%, respectively, while the prediction accuracy in the shaded space remains basically unchanged. Extreme gradient boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and categorical boosting (CatBoost) outperform other methods. After Bayesian optimization (BO), the machine learning models' TSV, TA, and TCV prediction accuracies improved by 6.83%, 4.05%, and 2.55%, respectively. CatBoost model with Bayesian optimization (CatBoost + BO) was the best model in most cases. TSV, TA, and TCV predictions were heavily influenced by microclimate parameters, with mean radiant temperature being the most important in unshaded spaces and air temperature being critical in shaded spaces. Furthermore, age, body mass index, and emotional state all had a significant impact on TA and TCV. This research will contribute to improving the quality of life of urban residents by providing a scientific foundation for the design and planning of urban open space. [Display omitted] • Outdoor thermal comfort models considered shade were built using nine ML algorithms. • The optimal model is Categorical Boosting combined with Bayesian optimization. • SHAP used to explain feature importance and positive/negative effects of models. [ABSTRACT FROM AUTHOR]
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- 2024
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8. Silicon reconfigurable mode-selective modulation for on-chip mode-multiplexed photonic systems
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Zhou, Gangqiang, Guo, Yuyao, Lu, Liangjun, Chen, Jianping, and Zhou, Linjie
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Recently, optical mode-division multiplexing has drawn a lot of attention due to its ability to increase the optical communication capacity in one physical channel with a single wavelength carrier. In this Letter, we demonstrate reconfigurable mode-selective modulation which is potentially useful for on-chip mode-multiplexed photonic systems. The device consists of two mode exchangers and one TE_1 mode modulator. The mode exchanger is based on a Mach–Zehnder interferometer that performs mode exchange between TE_0 and TE_1 modes. The TE_1 mode modulator consists of a pair of 1×3/3×1 multimode interferometers acting as a mode (de)multiplexer. It only selectively modulates the TE_1 mode while bypassing the TE_0 mode. 32 Gb/s on-off keying (OOK) modulation is successfully demonstrated for both input TE_0 and TE_1 modes. This device can be used as a building block for on-chip multimode interconnect networks.
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- 2021
9. Performance evaluation and optimization of compact tube-fin latent heat storage system in phase change nanoemulsion discharge mode
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Feng, Jinxin, Guo, Yuyao, Xia, Zhihao, Ling, Ziye, Fang, Xiaoming, and Zhang, Zhengguo
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The low thermal conductivity of phase change materials (PCMs) and the reduced heat transfer temperature difference along a tube both limit the thermal performance of latent heat thermal energy storage (LHTES). Herein, a compact tube-fin LHTES system based on phase change nanoemulsions was developed and the heat transfer process of nanoemulsion and PCM was numerically investigated. The effects of the heat transfer structure of the heat exchanger and the thermophysical parameters of the heat transfer fluid (HTF) on the cold energy discharge performance of the system were quantified. The optimized model reduced the discharge time by 24.4 % in nanoemulsion mode relative to water. Heat transfer improvement on the PCM side could be achieved by decreasing the fin spacing and tube spacing and by increasing the fin thickness. Such improvement reinforced the heat transfer enhancement of the nanoemulsion. The heat transfer mechanism was explained by the temperature distributions of the HTF and PCM along the tube. The phase-change thermostatic properties of the nanoemulsion and PCM contributed to the formation of dual-phase-change coupled heat transfer (i.e., the heat transfer process when the fluid inside the tube and the PCM filled outside the tube undergo a simultaneous phase change) within the LHTES, increasing the heat transfer temperature difference and the magnitude of the driving force. Increasing the phase change temperature difference accelerated the onset of dual-phase-change heat transfer, while increasing the PCM content prolonged the process. Briefly, this study provided operational and design assistance for LHTES systems in nanoemulsion mode with the intention to accelerate heat transfer rates.
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- 2024
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10. Establishment of stable Vero cell lines expressing TMPRSS2 and MSPL: A useful tool for propagating porcine epidemic diarrhea virus in the absence of exogenous trypsin
- Author
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Wang, Xiaona, Qiao, Xinyuan, Sui, Ling, Zhao, Haiyuan, Li, Fengsai, Tang, Yan-Dong, Shi, Wen, Guo, Yuyao, Jiang, Yanping, Wang, Li, Zhou, Han, Tang, Lijie, Xu, Yigang, and Li, Yijing
- Abstract
ABSTRACTPorcine epidemic diarrhea virus (PEDV) is the causative agent of porcine epidemic diarrhea, causing substantial economic losses to the swine industry worldwide. However, the development of PEDV vaccine is hampered by its low propagation titer in vitro, due to difficulty in adapting to the cells and complex culture conditions, even in the presence of trypsin. Furthermore, the frequent variation, recombination, and evolution of PEDV resulted in reemergence and vaccination failure. In this study, we established the Vero/TMPRSS2 and Vero/MSPL cell lines, constitutively expressing type II transmembrane serine protease TMPRSS2 and MSPL, in order to increase the stability and titer of PEDV culture and isolation in vitro. Our study revealed that the Vero/TMPRSS2, especially Vero/MSPL cell lines, can effectively facilitate the titer and multicycle replication of cell-adapted PEDV in the absence of exogenous trypsin, by cleaving and activating PEDV S protein. Furthermore, our results also highlighted that Vero/TMPRSS2 and Vero/MSPL cells can significantly enhance the isolation of PEDV from the clinical tissue samples as well as promote viral infection and replication by cell-cell fusion. The successful construction of the Vero/TMPRSS2 and Vero/MSPL cell lines provides a useful approach for the isolation and propagation of PEDV, simplification of virus culture, and large-scale production of industrial vaccine, and the cell lines are also an important system to research PEDV S protein cleaved by host protease.
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- 2020
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11. UDP-Glucose Dehydrogenase Supports Autophagy-Deficient PDAC Growth via Increasing Hyaluronic Acid Biosynthesis
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Fan, Minghe, Huo, Sihan, Guo, Yuyao, Wang, Ruoxuan, Hao, Wenqin, Zhang, Ziyang, Wang, Lina, and Zhao, Ying
- Abstract
Autophagy is an essential degradation and recycling process that maintains cellular homeostasis during stress or nutrient deprivation. However, certain types of tumors such as pancreatic cancers can circumvent autophagy inhibition to sustain growth. It is poorly understood of the mechanism that autophagy-deficient pancreatic ductal adenocarcinoma (PDAC) cells grow under nutrient deprivation. Our data show that nutrient deprivation in PDAC results in UDP-glucose dehydrogenase (UGDH) degradation, which is dependent on autophagic cargo receptor sequestosome 1 (p62). Moreover, we demonstrate that accumulated UGDH is indispensable for autophagy-deficient PDAC cells proliferation by promoting hyaluronic acid (HA) synthesis upon energy deprivation. Using an orthotopic mouse model of PDAC, we find that inhibition of HA synthesis by targeting UGDH in PDAC reduces tumor weight. Thus, the combined inhibition of HA and autophagy might be an attractive strategy for PDAC treatment.
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- 2024
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12. Insights into the Mechanism of Selective Removal of Heavy Metal Ions by the Pulsed/Direct Current Electrochemical Method
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Guo, Yuyao, Feng, Haopeng, Zhang, Lingyue, Wu, Yangfeng, Lan, Chenrui, Tang, Jing, Wang, Jiajia, and Tang, Lin
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Heavy metal pollution treatment in industrial wastewater is crucial for protecting biological and environmental safety. However, the highly efficient and selective removal of heavy metal ions from multiple cations in wastewater is a significant challenge. This work proposed a pulse electrochemical method with a low-/high-voltage periodic appearance to selectively recover heavy metal ions from complex wastewater. It exhibited a higher recovery efficiency for heavy metal ions (100% for Pb2+and Cd2+, >98% for Mn2+) than other alkali and alkaline earth metal ions (Na+, Ca2+, and Mg2+were kept below 3.6, 1.3, and 2.6%, respectively) in the multicomponent solution. The energy consumption was only 34–77% of that of the direct current electrodeposition method. The results of characterization and experiment unveil the mechanism that the low-/high-voltage periodic appearance can significantly suppress the water-splitting reaction and break the mass-transfer limitation between heavy metal ions and electrodes. In addition, the plant study demonstrates the feasibility of treated wastewater for agricultural use, further proving the high sustainability of the method. Therefore, it provides new insights into the selective recovery of heavy metals from industrial wastewater.
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- 2024
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13. Performance optimization of a sidewall radiant heating system integrated with diffuse ceiling ventilation.
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Yang, Bin, Guo, Yuyao, Xu, Shuaixing, Su, Wei, Wu, Mengchun, and Wang, Faming
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RADIANT heating ,AIR flow ,CEILINGS ,VENTILATION ,THERMAL comfort ,HUMAN comfort - Abstract
Radiant heating systems typically created a non-uniform thermal environment. The effect of radiant asymmetry on human thermal comfort was the main consideration in its application. However, previous studies did not emphasize the method of supplying fresh air and its impact on the asymmetric thermal environment. In this study, flow field distribution in a radiant heating room with diffuse ceiling ventilation system which had different porous ceiling opening rates was studied by numerical simulations. Meanwhile, subjective experiments were conducted to evaluate the influence on human thermal comfort. The results revealed that under different porous ceiling opening rates, non-uniform opening on the porous ceiling could optimize the indoor asymmetric thermal environment and reduce local draft discomfort. Furthermore, the neutral level in the room could be maintained at the same height by adjusting ceiling opening rates. The method of supplying fresh air into the radiant heating room had a certain impact on the asymmetric thermal environment. This paper served as a reference for the future design of the radiant system combined with a fresh air system. • DCV aided fresh air supply together with sidewall radiant asymmetric heating • Non-uniform distribution of buoyancy driven airflow • Neutral level control by DCV with non-uniform intensity [ABSTRACT FROM AUTHOR]
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- 2022
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14. Effects of thermal and acoustic environments on workers' psychological and physiological stress in deep underground spaces.
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Yang, Bin, Yao, Huangcheng, Yang, Pengfei, Guo, Yuyao, Wang, Faming, Yang, Changqing, Li, Angui, and Che, Lunfei
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PSYCHOLOGICAL stress ,PHYSIOLOGICAL stress ,UNDERGROUND areas ,SKIN temperature ,HEART beat ,HUMIDITY - Abstract
With the development of urbanization, the development of deep underground spaces has become increasingly important. The purpose of this research is to study how the combined effects of thermal and acoustic environments affect psychological and physiological stress of workers in deep undergrounds spaces. A randomized crossover chamber study with 16 subjects was carried out in this study. Participants were exposed to two different temperatures (30 and 34 °C), two different relative humidity levels (65 and 85%), and three different noise levels (55, 70 and 85 dBA). The experimental protocol included subjective thermal sensation, emotion, heart rate variability, skin temperature and cognitive performance tests. Results showed that temperature and relative humidity affected the change of emotion via their influence on thermal responses. In deep underground spaces, participants were always in a state of tension. The effect of temperature on low to high frequency ratio (LF/HF) was more pronounced at high noise levels. Low relative humidity could compensate for the discomfort caused by high temperatures. In general, temperature had the greatest influence, and the combined effect was significantly greater than the individual effect on workers' psychological and physiological stresses. • Combined effects of thermal and acoustic environments in deep underground spaces. • Using emotion and heart rate variability to explore to subjects' psychological and physiological stress. • Temperature and relative humidity will indirectly affect emotion changes. • The combined effects of temperature, relative humidity and noise are greater than the individual effect. [ABSTRACT FROM AUTHOR]
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- 2022
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15. Draught sensation assessment in an occupied space heated by stratified ventilation system: Attachment ventilation with relayed fans.
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Zhou, Bin, Yang, Bin, Wu, Mengchun, Guo, Yuyao, Wang, Faming, and Li, Angui
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MINE ventilation ,INDOOR air quality ,VENTILATION ,ANKLE ,AIR speed ,SENSES ,ATMOSPHERIC temperature ,THERMAL comfort - Abstract
The application of stratified ventilation systems for winter heating brings out the doubt of draught issues on the lower part of body. The purpose of this study is to quantify the thermal sensation and air movement acceptability of occupants in an occupied space with the stratified convective–heating systems. Twenty subjects participated in eighteen trials and they were blinded to test conditions. Three air temperatures of 20.5, 21.5 and 23.0 °C and three local air speeds of 0.4, 0.6 and 0.8 m/s are chosen as the examined parameters in the warm air lake. Two shoe types of low–cut and high–top being considered for providing different protection on ankles were also used. Local and overall thermal sensation, thermal comfort and acceptability, air movement acceptability, the preference on thermal environment and air movement were collected. Perceived indoor air quality and dry eye symptoms were also acquired. Results demonstrated that subjects were sensitive to local air movement at both calves and ankles rather than the ankles only. Low air temperature (<23.0 °C) and high air speed (>0.4 m/s) in warm air lake may cause 20–65% of subjects to complain about the unacceptable air movement. High–top shoes could increase the air movement acceptability on ankles by 15% but little effects on calves were discovered. Only 7% of the subjects reported eye dryness in all tested conditions and almost all subjects could accept the indoor air quality. This work may help improve the understanding of draught sensation on lower body parts in an occupied space with the stratified convective–heating system. • Winter draught sensation assessment under attachment ventilation with relayed fans were studied. • The recommended air temperature in air lake should be higher than 23 °C and the air speed should be less than 0.6 m/s. • High–top shoes can provide a maximum improvement on air movement acceptability by 15% from unacceptable to acceptable. [ABSTRACT FROM AUTHOR]
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- 2022
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16. Silicon Mach-Zehnder modulator using a highly-efficient L-shape PN junction
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Huang, Yidong, Yang, Yue, Zhou, Gangqiang, Zhou, Linjie, Zhou, Yanyang, Zhong, Yiming, Liu, Siqi, Guo, Yuyao, Liu, Lei, and Chen, Jianping
- Published
- 2018
- Full Text
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