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Article ; Online: A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks

Yuhong Wang

International Journal of Analytical Chemistry, Vol

2022 Volume 2022

Abstract: In order to solve the research on the extraction of ceramic sculpture artwork patterns, and, in the process of image reproduction, the problem of too few feature points in the object image, the author proposes an image stitching algorithm that combines ... ...

Abstract	In order to solve the research on the extraction of ceramic sculpture artwork patterns, and, in the process of image reproduction, the problem of too few feature points in the object image, the author proposes an image stitching algorithm that combines SIFT and MSER algorithms. After comprehensively analyzing the principles, advantages, and disadvantages of the current main image stitching methods, in terms of feature matching, based on the K-D tree search algorithm, the improved BBF algorithm is used to improve the search efficiency of feature points. In order to remove the possible cracks in the stitching process, an improved multiband fusion algorithm is used to seamlessly stitch the registered images. The results show that the feature points detected by the one-dimensional normal distribution algorithm are on average 0.1%, 0.5%, 1.7%, 4.4%, and 9.2%. The algorithm combining SIFT and MSER to extract feature points can reach 3.6%, 4.6%, 8.4%, 15%, and 19.1%. The experimental results show that the algorithm proposed by the author can extract more image feature points to facilitate later image registration. The image blur phenomenon in the original image fusion algorithm is solved, and a complete and clear two-dimensional plane pattern is finally obtained.
Keywords	Analytical chemistry ; QD71-142
Subject code	006
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Integrated Scheduling Optimization for Container Handling by Using Driverless Electric Truck in Automated Container Terminal

Cheng Hong / Yufang Guo / Yuhong Wang / Tingting Li

Sustainability, Vol 15, Iss 5536, p

2023 Volume 5536

Abstract: With the increasing maturity of automatic driving technology, the commercial value of driverless container trucks has been gradually excavated. Compared with social roads, the internal roads in the port area have certain practicing advantages. By taking ... ...

Abstract	With the increasing maturity of automatic driving technology, the commercial value of driverless container trucks has been gradually excavated. Compared with social roads, the internal roads in the port area have certain practicing advantages. By taking into account the operational characteristics of the driverless electric container truck and the coordination of quay and yard cranes, this paper aims to explore the configuration and optimized scheduling model of the driverless electric container truck with the objective of minimizing overall energy consumption. The results show that the optimized allocation and scheduling of driverless electric trucks can minimize the total energy consumption of terminal operation without delaying the shipping schedule, and has obvious advantages over traditional manual driving diesel trucks and Automated Guided Vehicles in terms of operation efficiency, economy, and sociality. The results can also provide certain decision-making reference for the selection of horizontal transportation equipment and collaborative scheduling of multi-type loading and unloading equipment resources of container terminal operators.
Keywords	automated container terminal ; driverless truck ; resource allocation ; scheduling optimization ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	380
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Precautionary proportionality principle as an instrumental preventive measure from the COVID-19

Jizeng Fan / Yuhong Wang

Przegląd Europejski, Vol 2021, Iss 1, Pp 117-

Can European human rights survive in the state of public health emergency?

2021 Volume 143

Abstract: The authors believe that the C. Schmitt’s notion of unconstraint sovereignty is not flawless. Both A. Dicey’s theory of British constitutional law and the international human rights instruments have required the measures of the derogation of human rights ...

Abstract	The authors believe that the C. Schmitt’s notion of unconstraint sovereignty is not flawless. Both A. Dicey’s theory of British constitutional law and the international human rights instruments have required the measures of the derogation of human rights must be given in accordance with proportionality principle. However, these normative requirements have hardly been applied to the judicial scrutiny by the two supranational courts in Europe. Correspondingly, some European public authorities favour the more radical precautionary principle. Although this principle is more effective in suppressing the new coronavirus, it is associated with numerous side effects. Thus, the authors propose in this article an innovative concept of precautionary proportionality principle.
Keywords	COVID-19 ; Europe ; coronavirus ; human rights ; sovereignty ; rule of law ; Political science ; J ; Social Sciences ; H
Subject code	340
Language	German
Publishing date	2021-04-01T00:00:00Z
Publisher	Wydawnictwa Uniwersytetu Warszawskiego
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Analysis and evaluation of surface water changes in the lower reaches of the Yangtze River using Sentinel-1 imagery

Zongqiao Yu / Qing An / Wensong Liu / Yuhong Wang

Journal of Hydrology: Regional Studies, Vol 41, Iss , Pp 101074- (2022)

2022

Abstract: Study region: The lower reaches of the Yangtze River, China. Study focus: A novel framework for analysis and evaluation of surface water changes in the lower reaches of the Yangtze River was proposed in this study, which was carried out using the Google ... ...

Abstract	Study region: The lower reaches of the Yangtze River, China. Study focus: A novel framework for analysis and evaluation of surface water changes in the lower reaches of the Yangtze River was proposed in this study, which was carried out using the Google Earth Engine (GEE) cloud computing platform. The Sentinel-1A images of dry and wet seasons in the study area during 2016 and 2020 were initially synthesized based on the median value of the backscatter coefficient. Then, water extraction results were obtained from the combination of the Random Forest (RF) algorithm, digital elevation model (DEM), and mathematical morphology model according to preferred textural features. New hydrological insights for the region: Verification regions were selected to evaluate the performance of proposed framework; the overall accuracy (OA) and kappa coefficient (Kappa) of the proposed method was 94.13% and 0.89, respectively. Meanwhile, the proposed water extraction framework can provide a better performance when compared with state-of-the-art methods (Otsu threshold method, k-nearest neighbors (KNN), and support vector machine (SVM) algorithms) regarding qualitative and quantitative evaluations. The mountain shadows could be eliminated and water continuity improved when the DEM and mathematical morphology model were introduced in the proposed framework. The results indicate that frequent floods and droughts occur in the study area. Additionally, this area is experiencing because of the increases in the water levels and a decline in the regulation and storage capacity of lakes.
Keywords	Google Earth Engine ; Surface water ; Yangtze River ; Sentinel-1 satellite ; Textural features ; Physical geography ; GB3-5030 ; Geology ; QE1-996.5
Subject code	550 ; 910
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study on Benefit Coordination of Supply Chain Network Based on Green Development

Xiong Gao / Yuhong Wang

International Journal of Environmental Research and Public Health, Vol 16, Iss 8, p

2019 Volume 1458

Abstract: Based on Stackelberg’s master–slave game theory and green index decision-making conditions, this paper studies the benefit coordination of a supply chain network composed of a business flow network and logistics network, discusses the decision-making ... ...

Abstract	Based on Stackelberg’s master–slave game theory and green index decision-making conditions, this paper studies the benefit coordination of a supply chain network composed of a business flow network and logistics network, discusses the decision-making behavior of the main body of the supply chain network under the performance of green contracts or speculative behavior, respectively, and further constructs the supply chain network collaborative benefit coordination model under the guidance of a manufacturer considering a green development index. The supply chain network interest coordination model analyzes the relationship between the dominant manufacturer behavior and the supply chain network green index and network profit. The results show that fulfilling green contracts helps improve the profitability and sustainability of supply chain networks. A counter-intuitive but interesting result is that the dominant manufacturers increase the cost-sharing ratio or penalties of the logistics network, which will reduce the profit level and green index of the logistics network, and increase the cost-sharing ratio or punishment of the suppliers. Strength will increase the profitability and green index of the logistics network. Finally, we validate the relevant conclusions of the model through numerical simulation analysis.
Keywords	sustainability ; green index ; leading manufacturer ; supply chain network ; network profit ; Medicine ; R
Subject code	338
Language	English
Publishing date	2019-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Review of Soft Sensors in Anaerobic Digestion Process

Pengfei Yan / Minghui Gai / Yuhong Wang / Xiaoyong Gao

Processes, Vol 9, Iss 1434, p

2021 Volume 1434

Abstract: Anaerobic digestion is associated with various crucial variables, such as biogas yield, chemical oxygen demand, and volatile fatty acid concentration. Real-time monitoring of these variables can not only reflect the process of anaerobic digestion ... ...

Abstract	Anaerobic digestion is associated with various crucial variables, such as biogas yield, chemical oxygen demand, and volatile fatty acid concentration. Real-time monitoring of these variables can not only reflect the process of anaerobic digestion directly but also accelerate the efficiency of resource conversion and improve the stability of the reaction process. However, the current real-time monitoring equipment on the market cannot be widely used in the industrial production process due to its defects such as expensive equipment, low accuracy, and lagging analysis. Therefore, it is essential to conduct soft sensor modeling for unmeasurable variables and use auxiliary variables to realize real-time monitoring, optimization, and control of the an-aerobic digestion process. In this paper, the basic principle and process flow of anaerobic digestion are first briefly introduced. Subsequently, the development history of the traditional soft sensor is systematically reviewed, the latest development of soft sensors was detailed, and the obstacles of the soft sensor in the industrial production process are discussed. Finally, the future development trend of deep learning in soft sensors is deeply discussed, and future research directions are provided.
Keywords	anaerobic digestion ; soft sensor ; deep learning ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
Subject code	670
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Could an optimally fitted categorization of difference between multi-disease score and multi-symptom score be a practical indicator aiding in improving the cost-effectiveness of healthcare delivery for older adults in developing countries?

Yuhong Wang / Guoying Guan / Ying xue / Jingyu Zhang / Zhe Cui / Hui Han

International Journal for Equity in Health, Vol 22, Iss 1, Pp 1-

2023 Volume 16

Abstract: Abstract Background Physio-psycho-socioeconomical health comprehensively declines during aging, the complexity of which is challenging to measure. Among the complexity, multiple chronic disorders continuously cumulated during aging, further aggravating ... ...

Abstract	Abstract Background Physio-psycho-socioeconomical health comprehensively declines during aging, the complexity of which is challenging to measure. Among the complexity, multiple chronic disorders continuously cumulated during aging, further aggravating the challenge. Methods A population-based survey on Comprehensive Ageing Health Assessment was conducted in older adults (age > = 60) enrolled from hospital settings and community settings in 13 working centers in six subnational regions in China. Cross-sectional datasets of 8,093 older participants with approximately complete assessment results were collected for the present analysis. Individual’s multi-disease or multi-symptom was respectively scored by summing coexistent multiple diseases or multiple symptoms by respective weighting efficient for Self-Rated Health (SRH). Individual’s age-dependent health decline was further summed of four SRH-weighted scores for daily function (activity of daily life, ADL), physical mobility (an average of three metrics), cognitive function (mini mental state examination, MMSE) and mental being (geriatric depression scale, GDS) plus multi-disease score (MDS) and multi-symptom score (MSS).Multi-disease patten among 18 diseases or multi-symptom pattern among 15 symptoms was latent-clustered in the older adults, the optimal outcome of which was categorized into high, moderate or low aging-associated clusters, respectively. Percentage distribution was compared between overall health decline score and multi-disease pattern cluster or multi-symptom patten cluster. A new variable of difference between MDS and MSS (hereinafter terming DMM) that displayed linear variation with socioeconomic factors was further fitted using multilevel regression analyses by substantial adjustments on individual confounders (level-1) and subnational region variation (level-2). Results Consistent gradient distribution was shown between health decline and multimorbidity pattern cluster in the older adults. DMM was found linearly varied with personal ...
Keywords	Age-related health decline ; Aging-associated multimorbidity ; Multi-disease ; Multi-symptom ; Metrics ; Cost-efficiency of healthcare delivery ; Public aspects of medicine ; RA1-1270
Subject code	360
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Interpregnancy interval and early infant neurodevelopment

Ruirui Ma / Peng Wang / Qiaolan Yang / Yuanyuan Zhu / Lei Zhang / Yuhong Wang / Lijun Sun / Wenxiang Li / Jinfang Ge / Peng Zhu

BMC Medicine, Vol 22, Iss 1, Pp 1-

the role of maternal–fetal glucose metabolism

2024 Volume 11

Abstract: Abstract Background Interpregnancy interval (IPI) is associated with a variety of adverse maternal and infant outcomes. However, reports of its associations with early infant neurodevelopment are limited and the mechanisms of this association have not ... ...

Abstract	Abstract Background Interpregnancy interval (IPI) is associated with a variety of adverse maternal and infant outcomes. However, reports of its associations with early infant neurodevelopment are limited and the mechanisms of this association have not been elucidated. Maternal–fetal glucose metabolism has been shown to be associated with infant neurodevelopmental. The objective of this study was to determine whether this metabolism plays a role in the relationship between IPI and neurodevelopment. Methods This prospective birth cohort study included 2599 mother-infant pairs. The IPI was calculated by subtracting the gestational age of the current pregnancy from the interval at the end of the previous pregnancy. Neurodevelopmental outcomes at 12 months in infants were assessed by the Ages and Stages Questionnaire Edition 3 (ASQ-3). Maternal fasting venous blood was collected at 24–28 weeks and cord blood was collected at delivery. The association between IPI and neurodevelopment was determined by logistic regression. Mediation and sensitivity analyses were also conducted. Results In our cohort, 14.0% had an IPI < 12 months. IPI < 12 months increased the failure of the communication domain, fine motor domain, and personal social domain of the ASQ (relative risks (RRs) with 95% confidence interval (CI): 1.73 [1.11,2.70]; 1.73 [1.10,2.72]; 1.51 [1.00,2.29]). Maternal homeostasis model assessment of insulin resistance (HOMA-IR) and cord blood C-peptide was significantly associated with failure in the communication domain [RRs with 95% CI: 1.15 (1.02, 1.31); 2.15 (1.26, 3.67)]. The proportion of the association between IPI and failure of the communication domain risk mediated by maternal HOMA-IR and cord blood C-peptide was 14.4%. Conclusions IPI < 12 months was associated with failing the communication domain in infants. Maternal–fetal glucose metabolism abnormality may partially explain the risk of neurodevelopmental delay caused by short IPI.
Keywords	Interpregnancy interval ; Neurodevelopment ; Glucose ; HOMA-IR ; Medicine ; R
Subject code	610
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evaluating the Efficacy of Government Spending on Air Pollution Control

Xiaoyao Xie / Yuhong Wang

International Journal of Environmental Research and Public Health, Vol 16, Iss 1, p

A Case Study from Beijing

2018 Volume 45

Abstract: The reform and opening up of the Chinese economy over the last 40 years has led to rapid economic development. However, with the rapid expansion of the economy, increasingly serious air pollution is apparent. In order to control urban air pollution ... ...

Abstract	The reform and opening up of the Chinese economy over the last 40 years has led to rapid economic development. However, with the rapid expansion of the economy, increasingly serious air pollution is apparent. In order to control urban air pollution effectively, Chinese governments at all levels have invested large sums every year. However, it has become a difficult issue which influences public government decisions with respect to how and according to what standard to distribute financial funds so as to improve air quality while saving money at the same time. Taking Beijing as an example, this paper investigates the ten-year change in the annual daily mean of inhalable particulate matter (PM10), sulfur dioxide (SO2), and nitrogen dioxide (NO2) from the year of 2006 to 2015, researches the invested funds in environmental protection in Beijing, and establishes a relationship between the atmospheric indexes of the above three parameters and government-invested funds in environmental protection. According to model analysis, government financial input has an obvious influence on the improvement of air quality. However, during the long period of financial input, the degree of air quality improvement will reduce gradually as time goes by. There exists a direct link between the effectiveness of government financial input to promote air quality and the air quality index, which means when the pollutant standards index is poor (i.e., the corresponding pollutant concentration is higher), the effectiveness will be more apparent. On the contrary, when the index is at a good level, the effectiveness of government financial input is very small. To achieve the best air quality conditions, the government should set the detailed financial input at or over the first-grade standard according to urban air quality standards.
Keywords	government financial input ; ambient air quality ; environment ; pollution ; Medicine ; R
Subject code	910
Language	English
Publishing date	2018-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Social Media Rumor Refuter Feature Analysis and Crowd Identification Based on XGBoost and NLP

Zongmin Li / Qi Zhang / Yuhong Wang / Shihang Wang

Applied Sciences, Vol 10, Iss 4711, p

2020 Volume 4711

Abstract: One prominent dark side of online information behavior is the spreading of rumors. The feature analysis and crowd identification of social media rumor refuters based on machine learning methods can shed light on the rumor refutation process. This paper ... ...

Abstract	One prominent dark side of online information behavior is the spreading of rumors. The feature analysis and crowd identification of social media rumor refuters based on machine learning methods can shed light on the rumor refutation process. This paper analyzed the association between user features and rumor refuting behavior in five main rumor categories: economics, society, disaster, politics, and military. Natural language processing (NLP) techniques are applied to quantify the user’s sentiment tendency and recent interests. Then, those results were combined with other personalized features to train an XGBoost classification model, and potential refuters can be identified. Information from 58,807 Sina Weibo users (including their 646,877 microblogs) for the five anti-rumor microblog categories was collected for model training and feature analysis. The results revealed that there were significant differences between rumor stiflers and refuters, as well as between refuters for different categories. Refuters tended to be more active on social media and a large proportion of them gathered in more developed regions. Tweeting history was a vital reference as well, and refuters showed higher interest in topics related with the rumor refuting message. Meanwhile, features such as gender, age, user labels and sentiment tendency also varied between refuters considering categories.
Keywords	rumor refuter ; machine learning ; nature language processing ; XGBoost ; feature analysis ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	004
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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