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Research and Application of High-Velocity Oxygen Fuel Coatings

Jianxing Yu, Xin Liu, Yang Yu, Haoda Li, Pengfei Liu, Kaihang Huang, Ruoke Sun
2022 Coatings  
With the development of modern industrial technology, there is an increasingly urgent need for the preparation of high-strength and high-performance coatings on the surface of traditional metal materials [...]
doi:10.3390/coatings12060828 fatcat:2phpwkzfbnhgrcmrzzuxj3na2m

Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China

Jianxing Yu, Huanhuan Jia, Zhou Zheng, Peng Cao, Xihe Yu
2021 Healthcare  
The clustering of cardiovascular disease (CVD) risk factors has become a major public health challenge worldwide. Although many studies have investigated CVD risk factor clusters, little is known about their prevalence and clustering among medical staff in Northeast China. This study aimed to estimate the prevalence and clustering of CVD risk factors and to investigate the association between relevant characteristics and the clustering of CVD risk factors among medical staff in Northeast China.
more » ... Methods: A cross-sectional survey of 3720 medical staff from 93 public hospitals in Jilin Province was used in this study. Categorical variables were presented as percentages and were compared using the χ2 test. Multiple logistic regression analysis was used to evaluate the association between relevant characteristics and the clustering of CVD risk factors. Results: The prevalence of hypertension, diabetes, dyslipidemia, being overweight, smoking, and drinking were 10.54%, 3.79%, 17.15%, 39.84%, 9.87%, and 21.75%, respectively. Working in a general hospital, male, and age group 18–44 years were more likely to have 1, 2, and ≥3 CVD risk factors, compared with their counterparts. In particular, compared with being a doctor, being a nurse or medical technician was less likely to have 1, 2, and ≥3 CVD risk factors only in general hospitals. Conclusions: The findings suggest that medical staff of general hospitals, males, and older individuals have a high chance associated with CVD risk factor clustering and that more effective interventions should be undertaken to reduce the prevalence and clustering of CVD risk factors, especially among older male doctors who work in general hospitals.
doi:10.3390/healthcare9091227 pmid:34575001 fatcat:tz3vwcoipjgljkcou465kvrtim

Ghost Imaging Based on Recurrent Neural Network [article]

Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Yu Zhou, Zhuo Xu
2021 arXiv   pre-print
Benefit from the promising features of second-order correlation, ghost imaging (GI) has received extensive attentions in recent years. Simultaneously, GI is affected by the poor trade-off between sampling rate and imaging quality. The traditional image reconstruction method in GI is to accumulate the action result of each speckle and the corresponding bucket signal. We found that the image reconstruction process of GI is very similar to the Recurrent Neural Network (RNN), which is one of the
more » ... p learning algorithm. In this paper, we proposed a novel method that effectively implements GI on the RNN architecture, called GI-RNN. The state of each layer in RNN is determined by the output of the previous layer and the input of this layer, and the output of the network is the sum of all previous states. Therefore, we take the speckle of each illumination and the corresponding bucket signal as the input of each layer, and the output of the network is the sum of all previous speckle and bucket signal, which is the image of the target. The testing results show that the proposed method can achieve image reconstruction at a very low sampling rate (0.38%). Moreover, we compare GI-RNN with traditional GI algorithm and compressed sensing algorithm. The results of different targets show that GI-RNN is 6.61 dB higher than compressed sensing algorithm and 12.58 dB higher than traditional GI algorithm on average. In our view, the proposed method makes an important step to applications of GI.
arXiv:2112.00736v1 fatcat:4jstcdtxcjdr7kehuofapyiugq

Multi-Domain Dialogue Acts and Response Co-Generation [article]

Kai Wang and Junfeng Tian and Rui Wang and Xiaojun Quan and Jianxing Yu
2020 arXiv   pre-print
Generating fluent and informative responses is of critical importance for task-oriented dialogue systems. Existing pipeline approaches generally predict multiple dialogue acts first and use them to assist response generation. There are at least two shortcomings with such approaches. First, the inherent structures of multi-domain dialogue acts are neglected. Second, the semantic associations between acts and responses are not taken into account for response generation. To address these issues,
more » ... propose a neural co-generation model that generates dialogue acts and responses concurrently. Unlike those pipeline approaches, our act generation module preserves the semantic structures of multi-domain dialogue acts and our response generation module dynamically attends to different acts as needed. We train the two modules jointly using an uncertainty loss to adjust their task weights adaptively. Extensive experiments are conducted on the large-scale MultiWOZ dataset and the results show that our model achieves very favorable improvement over several state-of-the-art models in both automatic and human evaluations.
arXiv:2004.12363v1 fatcat:2qwnvgavyncl7eqsbi4u37h56a

Embedding Dynamic Attributed Networks by Modeling the Evolution Processes [article]

Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
2020 arXiv   pre-print
Network embedding has recently emerged as a promising technique to embed nodes of a network into low-dimensional vectors. While fairly successful, most existing works focus on the embedding techniques for static networks. But in practice, there are many networks that are evolving over time and hence are dynamic, e.g., the social networks. To address this issue, a high-order spatio-temporal embedding model is developed to track the evolutions of dynamic networks. Specifically, an
more » ... neighborhood embedding method is first proposed to extract the high-order neighborhood information at each given timestamp. Then, an embedding prediction framework is further developed to capture the temporal correlations, in which the attention mechanism is employed instead of recurrent neural networks (RNNs) for its efficiency in computing and flexibility in modeling. Extensive experiments are conducted on four real-world datasets from three different areas. It is shown that the proposed method outperforms all the baselines by a substantial margin for the tasks of dynamic link prediction and node classification, which demonstrates the effectiveness of the proposed methods on tracking the evolutions of dynamic networks.
arXiv:2010.14047v1 fatcat:g6ohpmzuzzaa3f2ifowxg2p57a

Unsupervised Hashing with Contrastive Information Bottleneck [article]

Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2021 arXiv   pre-print
Many unsupervised hashing methods are implicitly established on the idea of reconstructing the input data, which basically encourages the hashing codes to retain as much information of original data as possible. However, this requirement may force the models spending lots of their effort on reconstructing the unuseful background information, while ignoring to preserve the discriminative semantic information that is more important for the hashing task. To tackle this problem, inspired by the
more » ... nt success of contrastive learning in learning continuous representations, we propose to adapt this framework to learn binary hashing codes. Specifically, we first propose to modify the objective function to meet the specific requirement of hashing and then introduce a probabilistic binary representation layer into the model to facilitate end-to-end training of the entire model. We further prove the strong connection between the proposed contrastive-learning-based hashing method and the mutual information, and show that the proposed model can be considered under the broader framework of the information bottleneck (IB). Under this perspective, a more general hashing model is naturally obtained. Extensive experimental results on three benchmark image datasets demonstrate that the proposed hashing method significantly outperforms existing baselines.
arXiv:2105.06138v2 fatcat:mqantzu6fbaqbbnmgjw4q7vfhm

Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis

Huanhuan Jia, Hairui Jiang, Jianxing Yu, Jingru Zhang, Peng Cao, Xihe Yu
2021 Healthcare  
The continuous growth in total health expenditure (THE) has become a social issue of common concern in most countries. In China, the total health expenditure (THE) is maintaining a rapid growth trend that is higher than that of the economy, which has become increasingly obvious in the 21st century and has brought a heavy burden to the government and residents. To analyze the main driving factors of THE in China in the 21st century and establish a predictive model, gray system theory was
more » ... to explore the correlation degree between THE and nine hot topics in the areas of the economy, population, health service utilization, and policy using national data from 2000 to 2018. Additionally, a New Structure of the Multivariate Gray Prediction Model of THE was established and compared with the traditional grey model and widely used BP neural network to evaluate the prediction effectiveness of the model. We concluded that the Chinese government and society have played a crucial role in reducing residents' medical burden. Besides this, the improved economy and aging population have increased the demand for health services, leading to the continual increase in THE. Lastly, the improved NSGM(1,N) model achieved good prediction accuracy and has unique advantages in simulating and predicting THE, which can provide a basis for policy formulation.
doi:10.3390/healthcare9020207 pmid:33673001 pmcid:PMC7918561 fatcat:ts3s2s7h6rgvpecpqgt536vafa

The dose-response analysis between BMI and common chronic diseases in northeast China

Jianxing Yu, Yuchun Tao, Jing Dou, Junsen Ye, Yaqin Yu, Lina Jin
2018 Scientific Reports  
Author Contributions Jianxing Yu and Lina Jin made substantial contributions to conception and design of this study. Jianxing Yu and Yuchun Tao drafted the manuscript.  ...  Jing Dou and Yaqin Yu revised the manuscript. Junsen Ye and Jianxing Yu made contribution to acquisition and performed the statistical analysis. All authors read and approved the final manuscript.  ... 
doi:10.1038/s41598-018-22551-y pmid:29523859 pmcid:PMC5845012 fatcat:ft4tenilj5b4nmac6wwob7ejki

Optimum mixed level detecting arrays

Ce Shi, Yu Tang, Jianxing Yin
2014 Annals of Statistics  
As a type of search design, a detecting array can be used to generate test suites to identify and detect faults caused by interactions of factors in a component-based system. Recently, the construction and optimality of detecting arrays have been investigated in depth in the case where all the factors are assumed to have the same number of levels. However, for real world applications, it is more desirable to use detecting arrays in which the various factors may have different numbers of levels.
more » ... This paper gives a general criterion to measure the optimality of a mixed level detecting array in terms of its size. Based on this optimality criterion, the combinatorial characteristics of mixed level detecting arrays of optimum size are investigated. This enables us to construct optimum mixed level detecting arrays with a heuristic optimization algorithm and combinatorial methods. As a result, some existence results for optimum mixed level detecting arrays achieving a lower bound are provided for practical use.
doi:10.1214/14-aos1228 fatcat:65ozk7qbjrdd5nly72sypfeuwq

Assessment of Offshore Wind Characteristics and Wind Energy Potential in Bohai Bay, China

Jianxing Yu, Yiqin Fu, Yang Yu, Shibo Wu, Yuanda Wu, Minjie You, Shuai Guo, Mu Li
2019 Energies  
Wind energy, one of the most sustainable renewable energy sources, has been extensively developed worldwide. However, owing to the strong regional and seasonal differences, it is necessary to first evaluate wind energy resources in detail. In this study, the offshore wind characteristics and wind energy potential of Bohai Bay (38.7° N, 118.7° E), China, were statistically analyzed using two-year offshore wind data with a time interval of one second. Furthermore, Nakagami and Rician
more » ... were used for wind energy resource assessment. The results show that the main wind direction in Bohai Bay is from the east (−15°–45°), with a speed below 12 m/s, mainly ranging from 4 to 8 m/s. The main wind speed ranges in April and October are higher than those in August and December. The night wind speed is generally higher than that in the daytime. The Nakagami and Rician distributions performed reasonably in calculating the wind speed distributions and potential assessments. However, Nakagami distribution provided better wind resource assessment in this region. The wind potential assessment results suggest that Bohai Bay could be considered as a wind class I region, with east as the dominant wind direction.
doi:10.3390/en12152879 fatcat:br57y6gi3nh2dceyss6zz5idwi

Dynamic Response of SPAR-Type Floating Offshore Wind Turbine under Wave Group Scenarios

Baolong Liu, Jianxing Yu
2022 Energies  
Numerical simulations are performed within the time domain to investigate the dynamic behaviors of an SPAR-type FOWT under wave group conditions. Towards this goal, the OC3 Hywind SPAR-type FOWT is adopted, and a JONSWAP (Joint North Sea Wave Project)-based wave group is generated by the envelope amplitude approach. The FOWT motion under wave group conditions, as well as the aerodynamic, hydrodynamic, and mooring performances, is simulated by our established in-house code. The rotating blades
more » ... e modelled by the blade element momentum theory. The wave-body interaction effect is calculated by the three-dimensional potential theory. The mooring dynamics are also taken into consideration. According to the numerical results, the SPAR buoy motions are slightly increased by the wave group, while the heave motion is significantly amplified. Both the aerodynamic performance and the mooring tension are also influenced by the wave group. Furthermore, the low-frequency resonant response could be more easily excited by the wave group.
doi:10.3390/en15134870 fatcat:x5pvtibl4ffxzc4nhqgezapggq

Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network [article]

Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni
2020 arXiv   pre-print
Due to the advantages of non-invasive and convenient, ultrasound has become the most commonly used screening tool in the diagnosis of breast cancer, Junxiong Yu and Chaoyu Chen contribute equally to this  ... 
arXiv:2007.16133v1 fatcat:v2lp2oastzcvteccm3qrz7b5p4

Multimorbidity Analysis of 13 Systemic Diseases in Northeast China

Jianxing Yu, Fangying Song, Yingying Li, Zhou Zheng, Huanhuan Jia, Yuzhe Sun, Lina Jin, Xihe Yu
2020 International Journal of Environmental Research and Public Health  
Multimorbidity not only affects the quality of patients' lives, but can also bring a heavy economic burden to individuals, families and society. The purpose of this study was to reveal the connections between diseases, especially the important role each disease played in the entire multimorbidity network. Methods: A total of 1,155,734 inpatients were enrolled through multistage stratified random sampling in Jilin Province in 2017. Categorical variables were compared using the Rao–Scott-χ2 test.
more » ... Weighted networks were adopted to present the complex relationships of multimorbidity. Results: The distributions of the number of diseases differed significantly by gender, age and health insurance scheme (P < 0.001). Diseases of the respiratory system had the highest weight in multimorbidity in young people. Endocrine, nutritional and metabolic diseases and circulatory system diseases were often associated with other systemic diseases in middle aged and old people. Conclusions: Multimorbidity with respiratory system diseases in young people should not be overlooked. Additionally, effective prevention efforts that target endocrine, nutritional and metabolic diseases and circulatory system diseases are needed in middle aged and old people.
doi:10.3390/ijerph17061817 pmid:32168832 fatcat:mubxtwiy7ja57oufwnvz2vj7uq

CFRP Strengthening and Rehabilitation of Inner Corroded Steel Pipelines under External Pressure

Jianxing Yu, Weipeng Xu, Yang Yu, Fei Fu, Huakun Wang, Shengbo Xu, Shibo Wu
2022 Journal of Marine Science and Engineering  
The objective of this study was to investigate the performance of pipelines repaired with carbon-fibre-reinforced polymer (CFRP) under external pressure. The repaired pipeline experienced defects in terms of thinning of its local inner wall. The three-dimensional finite element method was used to analyse the collapse pressure of repaired pipes with internal corrosion defects. The traction–separation law and interlaminar damage criterion were applied to simulate the collapse process of repaired
more » ... ipes. The results show that the collapse pressure of the composite-repaired pipe increased and the CFRP significantly reduced the strain in the defect region. It was observed that the ovality of the corrosion defect region was reduced and that the repair effectiveness mainly depended on the length, thickness, and interlayer cohesion.
doi:10.3390/jmse10050589 fatcat:yafqxirwjbas7lm5xdf6tolcae

Numerical Analysis of High-Velocity Oxygen Fuel Thermal-Spray Process for Fe-Based Amorphous Coatings

Jianxing Yu, Xin Liu, Yang Yu, Haoda Li, Pengfei Liu, Ruoke Sun, Limin Wang, Pengfei Li
2021 Coatings  
High-velocity oxygen fuel (HVOF)-sprayed amorphous alloy coatings usually have advantages of a dense structure that improve their resistance to corrosion, wear, and fatigue in the substrate. The flame flow characteristics and particle behaviors during the spray process have a significant influence on the amorphous coating structure and properties. In this study, a computational fluid dynamics model is enforced to analyze the flame flow and Fe-based amorphous alloy particle behavior in an HVOF
more » ... ray process. The flame flow temperature, velocity characteristics, and the Fe48Cr15Mo14C15B6Y2 Fe-based amorphous alloy particles' velocities, temperatures, flight trajectories, and mass concentration distribution characteristics are simulated. Moreover, the effects of the oxygen/fuel ratio, particle morphology parameter, particle-injection rate, and angle on the particle behavior are also investigated. Judging from the simulation results, the optimum amorphous alloy particle size varies between 20 and 30 μm, the shape factor is within the range of 0.9–1, the optimum O/F ratio is 3.4, the optimum injection angle is 45°, and the optimum injection rate is 10 m/s. With these conditions, most of the particles settled toward the centerline of the spray gun and are in a semisolid or solid state before affecting the substrate, giving the materials optimal coating structure and performance.
doi:10.3390/coatings11121533 fatcat:b2ihfr5gy5eebeyrdxxh67luvq
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