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Article ; Online: Development and Supervision of Financial Technology Based on Blockchain

Rui Yang

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: Decentralization, stability, security, and immutability are all features of blockchain technology. Blockchain, as the underlying technology of Bitcoin’s digital monetary system, is currently sweeping the globe. Blockchain is a revolutionary decentralized ...

Abstract	Decentralization, stability, security, and immutability are all features of blockchain technology. Blockchain, as the underlying technology of Bitcoin’s digital monetary system, is currently sweeping the globe. Blockchain is a revolutionary decentralized database technology that employs encryption, a timestamp chain data structure, a distributed consensus mechanism, and other technologies to achieve decentralization, tamper resistance, easy tracking, and programmable smart contracts. In the face of rising financial technology, we must maintain inclusive, technological, and invasive regulatory principles that not only foster financial innovation, but also conduct dynamic supervision to avoid systemic financial hazards. The consensus algorithm is one of the main blockchain technologies that has a direct impact on the system’s functioning. As a result, in this paper, we propose a blockchain-based development and supervision method for financial technology, as well as an application of this technology to commercial settlement, which can significantly reduce data complexity, time consumption, and the structural chain phenomenon in existing transaction settlement. We bring the idea of pow competition into DPoS, construct a consensus algorithm with an upgrade mechanism, and call it delegated proof of work, based on an in-depth investigation of the working principle of pow (proof of work) (dDPoS). The blocking efficiency of the dDPoS consensus method is around one block every 10 seconds, which is significantly higher than the blocking efficiency of the POW and POS consensus algorithms. As a result, it offers a potential answer to traditional centralized institutions’ concerns of high brokerage costs and insecure central storage, as well as a wide range of application possibilities.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	303
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: Water diversion and agricultural production

Rui YANG / Hang XU

Journal of Integrative Agriculture, Vol 22, Iss 4, Pp 1244-

Evidence from China

2023 Volume 1257

Abstract: Water diversion can alleviate water shortages caused by the uneven distribution of water resources. China’s South-to-North Water Diversion Project (SNWD) is the largest water diversion project worldwide. Based on the prefecture-level data of China’s ... ...

Abstract	Water diversion can alleviate water shortages caused by the uneven distribution of water resources. China’s South-to-North Water Diversion Project (SNWD) is the largest water diversion project worldwide. Based on the prefecture-level data of China’s Huang-Huai-Hai Plain from 2000 to 2020, this study employs an empirical strategy of Differences-in-Differences (DID) to analyze the impact of SNWD on agricultural production. The results show that SNWD has significantly increased agricultural production, measured by the agricultural value added. The estimated results of the benchmark model remain robust when the contemporaneous policy is addressed, an alternative outcome is used, subsamples are estimated, and alternative estimation techniques are employed. This study argues that the potential impact mechanism may be that SNWD significantly increases the acreage for cash crops but reduces that for grain crops. Heterogeneity analysis shows that in prefectures with high temperature or land potential, SNWD’s impact on agricultural value added is relatively low. In contrast, in areas with prolonged sunshine or high slopes, SNWD’s impact on agricultural value added is relatively large. Given the low added value of grain crops, the government should consider strengthening food security by subsidizing water supply to sustain grain production.
Keywords	South-to-North Water Diversion Project ; agricultural production ; Differences-in-Differences ; China ; Agriculture (General) ; S1-972
Subject code	950
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Potential of China's national policies on reducing carbon emissions from coal-fired power plants in the period of the 14th Five-Year Plan

Rui Yang / Wensheng Wang

Heliyon, Vol 9, Iss 9, Pp e19868- (2023)

2023

Abstract: Coal-fired power is one of the largest contributors to China's carbon emissions. To promote its national low-carbon transition ambitions, the Chinese government has issued a series of policies to reduce emissions from coal-fired power plants (CFPP) ... ...

Abstract	Coal-fired power is one of the largest contributors to China's carbon emissions. To promote its national low-carbon transition ambitions, the Chinese government has issued a series of policies to reduce emissions from coal-fired power plants (CFPP) during its 14th Five-Year Plan (2021-2025). This study mainly focuses on the mitigation potential of related national policies, using global optimization methods with double constraints on different policy implementation extents and power supply security under different scheduled views of national new energy developments. Thereby, 81 scenarios are set, and policy simulations till 2025 are conducted, achieving emission reductions ranging from 0.39 Gt to 1.04 Gt across scenarios. Specifically, if all policies are implemented as planned, they can bring significant changes, 0.64 Gt CO2 cumulative reduction and 25 Mt/GWh emitting efficiency improvement. But the simulated emission-changing trend shows that they may not be sufficient for the nation's target of peaking emissions before 2030, while results in higher-extent scenarios indicate that stronger implementation is required for this target. More relevant recommendations are also provided for subsequent sustainability policies on CFPPs in China.
Keywords	Carbon emission reduction ; Coal-fired power plants ; Policy potential ; Policy simulation ; Five-Year Plan ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm.

Ju, Rui-Yang / Cai, Weiming

Scientific reports

2023 Volume 13, Issue 1, Page(s) 20077

Abstract: Hospital emergency departments frequently receive lots of bone fracture cases, with pediatric wrist trauma fracture accounting for the majority of them. Before pediatric surgeons perform surgery, they need to ask patients how the fracture occurred and ... ...

Abstract	Hospital emergency departments frequently receive lots of bone fracture cases, with pediatric wrist trauma fracture accounting for the majority of them. Before pediatric surgeons perform surgery, they need to ask patients how the fracture occurred and analyze the fracture situation by interpreting X-ray images. The interpretation of X-ray images often requires a combination of techniques from radiologists and surgeons, which requires time-consuming specialized training. With the rise of deep learning in the field of computer vision, network models applying for fracture detection has become an important research topic. In this paper, we use data augmentation to improve the model performance of YOLOv8 algorithm (the latest version of You Only Look Once) on a pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX), which is a public dataset. The experimental results show that our model has reached the state-of-the-art (SOTA) mean average precision (mAP 50). Specifically, mAP 50 of our model is 0.638, which is significantly higher than the 0.634 and 0.636 of the improved YOLOv7 and original YOLOv8 models. To enable surgeons to use our model for fracture detection on pediatric wrist trauma X-ray images, we have designed the application "Fracture Detection Using YOLOv8 App" to assist surgeons in diagnosing fractures, reducing the probability of error analysis, and providing more useful information for surgery.
MeSH term(s)	Humans ; Child ; Wrist ; X-Rays ; Fractures, Bone/diagnostic imaging ; Algorithms ; Wrist Injuries
Language	English
Publishing date	2023-11-16
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-47460-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Evaluation of the Quality of Football Teaching in Colleges and Universities Based on Artificial Neural Networks

Rui Yang / Hui Lin

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: Every country is developing under the concept of artificial intelligence. Many countries are already working on student monitoring systems that allow them to control the student’s mentality and analyze each student’s behavior with the help of a wireless ... ...

Abstract	Every country is developing under the concept of artificial intelligence. Many countries are already working on student monitoring systems that allow them to control the student’s mentality and analyze each student’s behavior with the help of a wireless headband. There is certain high-tech education within the country in a maximum number of schools, which can be considered robotic monetization. With the help of tiny robots inside the classrooms, each student’s activeness and engagement level in the classes are captured and submitted to the teacher. All these practical applications help us imagine that there will be a massive response to artificial intelligence in the future of this world. On the other hand, sports management is a critical issue to consider for the country’s growth. This research evaluates the quality of football teaching by implementing an Artificial Neural Network model for online mode of education. The proposed model functions with the implementation of Association Rule Mining (ARM) in the intelligent system to monitor the activities of the player by training with the Artificial Neural Network (ANN). The proposed model is compared with the existing K-Mean algorithm, and it is observed that the proposed model has achieved an accurate evaluation of 99.6%.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	629
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: Effects of sediment properties on the erosion resistance of natural cohesive soils in Taiwan

Wang, Yongjie / Hung, Rui-Yang

Catena. 2023 Apr., v. 223 p.106950-

2023

Abstract: Soil erosion and sedimentation are major factors in landscape evolution and river morphology. The erosion resistance of sediments plays an important role in landscape evolution processes because it determines the threshold of an acting force at the ... ...

Abstract	Soil erosion and sedimentation are major factors in landscape evolution and river morphology. The erosion resistance of sediments plays an important role in landscape evolution processes because it determines the threshold of an acting force at the initiative sediment motion, and the amount of sediment transports. This study examined the sediment properties and their correlations to the erosion resistance of mudstone deposits and laterites, which are two representative natural cohesive soils in hill and terrace topography in Taiwan. Soil physical properties and pore water chemical properties, and the erosion resistance were investigated and determined using laboratory tests and hydraulic flume experiments, respectively. Investigations of sediment properties showed that the mudstone deposits and laterites had significant differences in median particle size, soil texture, level of plasticity, internal structure, and pH value and electrical conductivity of their aqueous slurry. Results from the hydraulic flume experiments showed that the laterites had stronger erosion resistance, indicating by larger values of critical shear stress and the Shields’ parameter, than the mudstone deposits. Through the stepwise multiple regression analysis, a quantitative equation was proposed to estimate the Shields’ parameter using fine sediment properties including water content, clay content, and the plasticity index expressed in decimal fractions, of the two soils. Despite more experiments of the two natural soils with different ranges of the sediment properties are needed to validate the empirical equation for predicting the Shields’ parameter, the proposed methodology provides an essential reference in which erosion resistance is an important parameter.
Keywords	catenas ; clay fraction ; electrical conductivity ; equations ; hydraulic flumes ; landscapes ; mudstone ; pH ; particle size ; plasticity ; regression analysis ; rivers ; sediments ; shear stress ; slurries ; soil erosion ; soil texture ; topography ; water content ; Taiwan ; Mudstone deposits ; Laterites ; Erosional strength ; Critical shear stress ; Shields' parameter
Language	English
Dates of publication	2023-04
Publishing place	Elsevier B.V.
Document type	Article ; Online
ZDB-ID	519608-5
ISSN	1872-6887 ; 0008-7769 ; 0341-8162
ISSN (online)	1872-6887 ; 0008-7769
ISSN	0341-8162
DOI	10.1016/j.catena.2023.106950
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The Knowledge Analysis of Panel Vector Autoregression

Rui Yang / Xin An / Yingwen Chen / Xiuli Yang

SAGE Open, Vol

A Systematic Review

2023 Volume 13

Abstract: The panel vector autoregression (PVAR) model preserves the advantages of the vector autoregression model while expanding its time series to the spatial direction, which can effectively solve the problem of individual heterogeneity using panel data. It is ...

Abstract	The panel vector autoregression (PVAR) model preserves the advantages of the vector autoregression model while expanding its time series to the spatial direction, which can effectively solve the problem of individual heterogeneity using panel data. It is derived from econometrics but has been applied interdisciplinarily because of its advantages in metrology. Given its increasingly important role in econometrics and interdisciplinary applications, a systematic review based on the bibliometric tool was conducted by screening 292 articles related to PVAR from the Web of Science. First, a descriptive analysis of the related articles was conducted to identify the current research status of PVAR. It reveals that macroeconomic effects, economic growth and environmental protection, and model adaptation are the primary topics in PVAR-related research. Then, the study classifies PVAR models into three categories and summarizes the four estimation methods within the knowledge domain. Having clarity on the different categories and estimation methods enhances the practical utility of the PVAR model. Finally, to gain insight into the knowledge evolution of PVAR, this study discusses how research hotspots in the field have evolved over time. This analysis provides a historical perspective and allows researchers to anticipate future trends and emerging areas of interest within PVAR. Based on these findings, this study identifies three research opportunities that can guide future investigations in the field of PVAR. This study aims to foster extension applications of the model in econometric research and highlight its potential for interdisciplinary applications.
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Subject code	330
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Unsupervised Method Based on Adversarial Domain Adaptation for Bearing Fault Diagnosis

Yao Li / Rui Yang / Hongshu Wang

Applied Sciences, Vol 13, Iss 7157, p

2023 Volume 7157

Abstract: This paper contributes to improving a bottleneck residual block-based feature extractor as a set of layers for transforming raw data into features for classification. This structure is utilized to avoid the issues of the deep learning network, such as ... ...

Abstract	This paper contributes to improving a bottleneck residual block-based feature extractor as a set of layers for transforming raw data into features for classification. This structure is utilized to avoid the issues of the deep learning network, such as overfitting problems and low computational efficiency caused by redundant computation, high dimensionality, and gradient vanishing. With this structure, a domain adversarial neural network (DANN), a domain adversarial unsupervised model, and a maximum classifier discrepancy (MCD), a domain adaptation model, have been applied to conduct a binary classification of fault diagnosis data. In addition, a pseudo-label is applied to MCD for comparison with the original one. In comparison, several popular models are selected for transferability estimation and analysis. The experimental results have shown that DANN and MCD with this improved feature extractor have achieved high classification accuracy, with 96.84% and 100%, respectively. Meanwhile, after using the pseudo-label semi-supervised learning, the average classification accuracy of the MCD model increased by 15%, increasing to 94.19%.
Keywords	bearing fault diagnosis ; adversarial domain adaptation ; unsupervised learning ; transfer learning ; transferability estimation ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	006
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatiotemporal Variations in the Carbon Sequestration Capacity of Plateau Lake Wetlands Regulated by Land Use Control under Policy Guidance

Bo Chen / Meiqi Zhang / Rui Yang / Wenling Tang

Land, Vol 12, Iss 1695, p

2023 Volume 1695

Abstract: Lake wetlands play a crucial role in mitigating climate change. Human activities and climate change impact the carbon sequestration capacity of lake wetlands. However, this process is intricate. Clarifying the decisive factors that affect carbon ... ...

Abstract	Lake wetlands play a crucial role in mitigating climate change. Human activities and climate change impact the carbon sequestration capacity of lake wetlands. However, this process is intricate. Clarifying the decisive factors that affect carbon sequestration is crucial for preserving, utilizing, and enhancing the carbon sequestration capacity of plateau lake wetlands. Here we analyzed the regulatory role of land use under policy guidance on the carbon sequestration capacity of the plateau lake wetland of Caohai (CHLW), SW China. The results show that: (1) The cumulative carbon sequestration varied significantly from 1990 to 2020, with the highest carbon sequestration of 15.80 × 10 5 t C in 1995 and the lowest of 3.18 × 10 5 t C in 2020, mainly originating from endogenous carbon sequestration within the plateau lake wetlands. (2) As of 2020, the carbon stock of CHLW was approximately 2.54 × 10 8 t C. (3) The carbon sequestration in CHLW experienced a dynamic change process of decrease-increase-decrease over 30 years, mainly influenced by land use changes under policy regulation, with human and natural factors accounting for 91% and 9%, respectively. (4) Under three simulated scenarios (Q1, Q2, and Q3), the ecological priority scenario exhibited positive regulation on the carbon sequestration of CHLW and the entire protected area in 2030 and 2060, with the highest increase in carbon sequestration. This scenario is consistent with the current conservation policy, indicating that the current protection policy for CHLW is scientifically reasonable. This research demonstrates how land use and climate changes impact carbon storage in wetlands, with consideration of policy guidance. It provides references for utilizing and conserving lake wetlands worldwide, ultimately achieving the dual goals of wetland conservation and carbon neutrality.
Keywords	plateau lake wetlands ; land use change ; carbon sink ; carbon sequestration ; local policies ; Agriculture ; S
Subject code	333
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Water-Saving Irrigation Promotion and Food Security

Rui Yang / Qijie Gao

Sustainability, Vol 13, Iss 12212, p

A Study for China

2021 Volume 12212

Abstract: In response to water scarcity and food security, most governments in the world have adopted water-saving irrigation promotion policies by increasing the water-saving irrigation area. Many researches focus on water scarcity, but there is a lack of ... ...

Abstract	In response to water scarcity and food security, most governments in the world have adopted water-saving irrigation promotion policies by increasing the water-saving irrigation area. Many researches focus on water scarcity, but there is a lack of research on the food security effects of water-saving irrigation policies. A two-way fixed effect model was used to identify the effect of water-saving irrigation area on the production of food crops with panel data of 31 Chinese provinces from 2000 to 2019. The study shows: First, water-saving irrigation area not only can save agricultural water use, but also has a significant positive effect on production of food crops; Second, water-saving irrigation area affects production of food crops through agricultural input factors, such as sown area, chemical fertilizer, and mechanized power; Third, there is heterogeneity in the effect of water-saving irrigation area on production of food crops, in which water-saving irrigation area has a greater impact on production of food crops in areas where there is less rainfall, or lower water-saving irrigation rate. Therefore, the water-saving irrigation promotion has a significant role in promoting China’s production of food crops and has made a certain contribution to ensuring food security.
Keywords	water-saving irrigation promotion ; water-saving irrigation area ; food security ; production of food crops ; China ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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