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Article ; Online: Impact of Environmental Regulation on Carbon Emissions in Countries along the Belt and Road—An Empirical Study Based on PSTR Model

Lei Wu / Chengao Zhu / Xinhao Song / Junge He

International Journal of Environmental Research and Public Health, Vol 20, Iss 2164, p

2023 Volume 2164

Abstract: Since China has put forward the Belt and Road Initiative in 2013, research on the BRI-related countries along the Belt and Road has sprung up. With the advent of the era of carbon peak and carbon neutralization, environmental regulation, as one of the ... ...

Abstract	Since China has put forward the Belt and Road Initiative in 2013, research on the BRI-related countries along the Belt and Road has sprung up. With the advent of the era of carbon peak and carbon neutralization, environmental regulation, as one of the important methods to control carbon emissions, is becoming increasingly prominent. Research on the impact pathway of environmental regulation of countries along the Belt and Road on carbon emissions has important implications for environmental protection and carbon emission reduction. Based on the panel data of 38 countries along the Belt and Road from 2005 to 2018, this research applied linear Tobit model and nonlinear dynamic panel regression model (PSTR) to evaluate the direct impacts on carbon emissions from environmental regulation of countries along the Belt and Road, and to analyze the different impacts of environmental regulation on carbon emissions in terms of technical innovation, industrial structure, and energy intensity. We found that (1) the direct impact of environmental regulation on carbon emissions in the countries along the Belt and Road is positive, with slight differences between the Silk Road Economic Belt and 21st Century Maritime Silk Road (2) when technical innovation is at a low level, environmental regulation promotes carbon emissions, while at a high level, environmental regulation significantly inhibits carbon emissions. (3) When industrial structure is at both a low and high level, environmental regulation inhibits carbon emissions, with a stronger degree of inhibition at a higher level. (4) When energy intensity is at a low level, environmental regulation promotes carbon emissions, while at a high level, environmental regulation inhibits carbon emissions. Accordingly, we suggest that countries along the Belt and Road follow the road of sustainable and low-carbon development, which should further enhance their focus on environment protection, improve their environmental awareness, and take environmental regulation measures rationally ...
Keywords	environmental regulation ; carbon emissions ; PSTR ; technical innovation ; industrial structure ; energy intensity ; Medicine ; R
Subject code	550
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Predicting microbial community compositions in wastewater treatment plants using artificial neural networks

Xiaonan Liu / Yong Nie / Xiao-Lei Wu

Microbiome, Vol 11, Iss 1, Pp 1-

2023 Volume 15

Abstract: Abstract Background Activated sludge (AS) of wastewater treatment plants (WWTPs) is one of the world’s largest artificial microbial ecosystems and the microbial community of the AS system is closely related to WWTPs' performance. However, how to predict ... ...

Abstract	Abstract Background Activated sludge (AS) of wastewater treatment plants (WWTPs) is one of the world’s largest artificial microbial ecosystems and the microbial community of the AS system is closely related to WWTPs' performance. However, how to predict its community structure is still unclear. Results Here, we used artificial neural networks (ANN) to predict the microbial compositions of AS systems collected from WWTPs located worldwide. The predictive accuracy R2 1:1 of the Shannon–Wiener index reached 60.42%, and the average R2 1:1 of amplicon sequence variants (ASVs) appearing in at least 10% of samples and core taxa were 35.09% and 42.99%, respectively. We also found that the predictability of ASVs was significantly positively correlated with their relative abundance and occurrence frequency, but significantly negatively correlated with potential migration rate. The typical functional groups such as nitrifiers, denitrifiers, polyphosphate-accumulating organisms (PAOs), glycogen-accumulating organisms (GAOs), and filamentous organisms in AS systems could also be well recovered using ANN models, with R2 1:1 ranging from 32.62% to 56.81%. Furthermore, we found that whether industry wastewater source contained in inflow (IndConInf) had good predictive abilities, although its correlation with ASVs in the Mantel test analysis was weak, which suggested important factors that cannot be identified using traditional methods may be highlighted by the ANN model. Conclusions We demonstrated that the microbial compositions and major functional groups of AS systems are predictable using our approach, and IndConInf has a significant impact on the prediction. Our results provide a better understanding of the factors affecting AS communities through the prediction of the microbial community of AS systems, which could lead to insights for improved operating parameters and control of community structure. Video Abstract
Keywords	Activated sludge ; Artificial neural networks ; Prediction ; Microbial compositions ; Functional groups ; Microbial ecology ; QR100-130
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Do Locations of Employment and Residence Influence whether People Use Virtual Social Networks? A Case Study of Residents in Wuhan, China

Huixia Deng / Qiang Niu / Lei Wu

ISPRS International Journal of Geo-Information, Vol 12, Iss 10, p

2023 Volume 410

Abstract: High-speed information technology development has made virtual social networking (VSN) a social interaction trend. Studies have been carried out to investigate the spatial clustering characteristics of the locations where there is online social ... ...

Abstract	High-speed information technology development has made virtual social networking (VSN) a social interaction trend. Studies have been carried out to investigate the spatial clustering characteristics of the locations where there is online social interaction, but they have not yet concentrated on the geographic phenomenon associated with the distribution of occupational and residential locations of citizens who use VSN. According to usage statistics gathered from China Unicom for people living in the Wuhan metropolitan development area, there are geographical characteristics for the sites of employment and residence of virtual social application (VSA) users. Compared with people who live or work in the central city, suburban citizens are more willing to conduct virtual social networking, and those who are most likely to do so are concentrated in the suburbs 20–30 km from the main city. Additionally, we used geographically weighted regressions to evaluate the relationship between the density of physical social facilities and the possibility of the usage of VSAs, revealing the influence of various conventional social conveniences on the propensity to use the VSA. Residents are more inclined to engage in VSN in places where traditional social interaction is inconvenient, particularly in suburbs, indicating that VSN is an addition to traditional social interaction. Nonetheless, neither an improvement in, nor the replacement of, VSN activities is apparent in places where conventional socializing is practical. This study identified the clustering of virtual social users’ places of employment and residence in metropolitan areas and concluded that virtual social interaction offers new social channels for people who lack access to adequate physical social facilities; that is, it complements traditional social interaction. These results can deepen the understanding of the relationship between traditional social interaction and VSN. They also offer a fresh viewpoint on facility planning for the potential future creation of a ...
Keywords	virtual social network ; virtual social application ; physical social facilities ; location of employment and residence ; urban and suburban areas ; Wuhan ; Geography (General) ; G1-922
Subject code	300
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Impact of Investment Efficiency in the Digital Economy on Urban Waste Reduction

Hui Feng / Yirong Li / Renyan Mu / Lei Wu

Sustainability, Vol 15, Iss 24, p

Evidence from China

2023 Volume 16731

Abstract: This study aims to explore the relationship between the development of the digital economy and urban waste management practices, with a specific focus on their impact on landfill and incineration disposal methods. The research objective is to enhance our ...

Abstract	This study aims to explore the relationship between the development of the digital economy and urban waste management practices, with a specific focus on their impact on landfill and incineration disposal methods. The research objective is to enhance our understanding of interdependencies in these domains and offer insights for the formulation of more efficient waste management strategies. Through empirical analysis, the study shows a significant influence of the digital economy on urban waste disposal volumes. Moreover, the provided results show a negative impact of the efficiency of digital infrastructure investment on urban waste disposal volumes. These findings suggest that enhancing the efficiency of investment in digital infrastructure could alleviate the strain on waste disposal strategies, thus helping to reduce environmental pollution. The findings of this study provide valuable insights and suggest directions for future research in pursuit of sustainable waste management practices in the evolving context of the digital economy.
Keywords	digital economy ; waste management ; DEA ; investment efficiency ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	710 ; 650
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Dental aspiration in a pediatric patient

Zhufei Xu / Lei Wu / Zhimin Chen

Journal of International Medical Research, Vol

a case report

2023 Volume 51

Abstract: Foreign body aspiration is relatively common in children, especially in children younger than 3 years, and it is associated with a high incidence and mortality rate. Because of impairments in swallowing, speech, and vision, more caution regarding foreign ...

Abstract	Foreign body aspiration is relatively common in children, especially in children younger than 3 years, and it is associated with a high incidence and mortality rate. Because of impairments in swallowing, speech, and vision, more caution regarding foreign body aspiration is required in children with abnormal nervous system development. This report describes a clinically rare case involving a 6-year-old patient with delayed brain development and epilepsy who was found to have a tooth in the bronchus of the left lung through fiberoptic bronchoscopy. The tooth was successfully removed by an extraction procedure. A follow-up examination showed that the patient had a sequela of left lower lobe atelectasis. This case indicates that greater caution is necessary regarding foreign body aspiration, including dental aspiration, in patients with abnormal development of the nervous system.
Keywords	Medicine (General) ; R5-920
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: Solid Hybrid Electrolyte Featuring a Vertically Aligned Li

Tian, Lei Wu / Kim, Ji Wan / Kim, Dong-Won

ACS applied materials & interfaces

2023 Volume 15, Issue 28, Page(s) 33541–33549

Abstract: All-solid-state lithium batteries (ASSLBs) with enhanced safety are considered one of the most promising substitutes for liquid electrolyte-based Li-ion batteries. However, many properties of solid electrolytes, such as ionic conductivity, film ... ...

Abstract	All-solid-state lithium batteries (ASSLBs) with enhanced safety are considered one of the most promising substitutes for liquid electrolyte-based Li-ion batteries. However, many properties of solid electrolytes, such as ionic conductivity, film formability, and electrochemical, mechanical, thermal, and interfacial stability need to be improved for their practical application. In this study, a vertically aligned Li
Language	English
Publishing date	2023-07-05
Publishing country	United States
Document type	Journal Article
ISSN	1944-8252
ISSN (online)	1944-8252
DOI	10.1021/acsami.3c04131
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Landslide mapping based on a hybrid CNN-transformer network and deep transfer learning using remote sensing images with topographic and spectral features

Lei Wu / Rui Liu / Nengpan Ju / Ao Zhang / Jingsong Gou / Guolei He / Yuzhu Lei

International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103612- (2024)

2024

Abstract: Landslides frequently cause serious property damage and casualties. Therefore, it is crucial to have rapid and accurate landslide mapping (LM) to support post-earthquake landslide damage assessment and emergency rescue efforts. Many studies have been ... ...

Abstract	Landslides frequently cause serious property damage and casualties. Therefore, it is crucial to have rapid and accurate landslide mapping (LM) to support post-earthquake landslide damage assessment and emergency rescue efforts. Many studies have been conducted in recent years on the application of automatic LM methods using remote sensing images (RSIs). However, existing methods face challenges in accurately distinguishing landslides due to the problems of large differences in features and scales among landslides, as well as similarities among different ground objects in optical RSIs. Here, we propose a semantic segmentation model called SCDUNet++, which combines the advantages of convolutional neural network (CNN) and transformer to enhance the discrimination and extraction of landslide features. Then, we constructed a multi-channel landslide dataset in the Luding and Jiuzhaigou earthquake areas using Sentinel-2 and NASADEM data. We evaluated the performance of SCDUNet++ on this dataset. The results showed that SCDUNet++ can extract and fuse spectral and topographic information more effectively. Compared with other state-of-the-art models, SCDUNet++ achieved the highest IoU and F1 score in all four test areas. In addition, the models achieved significant improvements in mapping the landslides of the Jiuzhaigou area after knowledge transfer and fine-tuning. Compared with direct prediction, eight models, namely DeepLabv3+, Segformer, TransUNet, SwinUNet, STUNet, UNet, UNet++, and SCDUNet++, demonstrated improvements in IoU ranging from 8.33% to 27.5% and F1 from 6.58% to 23.67% after implementing deep transfer learning (DTL). This finding highlights the significant practicality of using DTL for cross-domain LM in data-poor areas.
Keywords	Convolutional neural network ; Deep transfer learning ; Landslide mapping ; Remote sensing data ; Transformer ; Physical geography ; GB3-5030 ; Environmental sciences ; GE1-350
Subject code	006
Language	English
Publishing date	2024-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study on the time-varying fatigue reliability of the invert structure of subway tunnel under the action of train loads

Zhaofeng Chen / Linrong Xu / Changxi Huang / Lei Wu / Yonghui Shang

Frontiers in Earth Science, Vol

2023 Volume 11

Abstract: Introduction: The present study examines the fatigue reliability of subway tunnel invert structures subjected to train-induced loads, a critical factor in ensuring the safety and longevity of these vital infrastructures.Methods: By integrating higher- ... ...

Abstract	Introduction: The present study examines the fatigue reliability of subway tunnel invert structures subjected to train-induced loads, a critical factor in ensuring the safety and longevity of these vital infrastructures.Methods: By integrating higher-order moment theory, fatigue equations, and cumulative damage theory, this research analyzes the impact of train loads on invert structures, taking into account factors such as tension stress, compression stress, train axle weight, speed, and lining thickness.Results: The findings indicate that the reinforcement of the invert structure is required under tension stress, while it is not necessary for compression stress. Notably, the train’s axle weight and speed exert a significant influence on the fatigue reliability index, with speed displaying a marginally greater effect than axle weight. Conversely, the lining thickness demonstrates a negligible impact on the reliability index. As time progresses, the fatigue reliability index diminishes, resulting in an elevated probability of failure.Discussion: In light of these findings, it is imperative to conduct regular inspections and maintain the tensile state of the invert structure, which warrants the most attention. To safeguard the safety and longevity of subway tunnel invert structures, it is essential to concentrate on the aspects related to tensile stress and closely monitor train loads, specifically axle weight and speed.
Keywords	time-varying fatigue reliability ; higher order moment ; performance function ; invert structure ; subway tunnel ; train loads ; Science ; Q
Subject code	600
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Be optical lattice clocks with the fractional Stark shift up to the level of 10−19

Lei Wu / Xia Wang / Ting Wang / Jun Jiang / Chenzhong Dong

New Journal of Physics, Vol 25, Iss 4, p

2023 Volume 043011

Abstract: The energy levels and electric dipole ( $E1$ ) matrix elements of the ground state and low-lying excited states of Be atoms are calculated using the relativistic configuration interaction plus core polarization (RCICP) method. The static and dynamic $E1$ ...

Abstract	The energy levels and electric dipole ( $E1$ ) matrix elements of the ground state and low-lying excited states of Be atoms are calculated using the relativistic configuration interaction plus core polarization (RCICP) method. The static and dynamic $E1$ , magnetic dipole ( $M1$ ) and electric quadrupole ( $E2$ ) polarizabilities as well as the hyperpolarizabilities of the $2s^2~^1S_0$ and $2s2p~^3P_0$ states are determined. Two magic wavelengths, 300.03 and 252.28 nm, of $2s^2~^1S_0 \rightarrow 2s2p~^3P_0$ clock transition are found. Then, the multipolar and nonlinear Stark shifts of the clock transition at the magic wavelength are discussed in detail. We find that when the laser intensity I is in the range of 14.3–15.9 kW cm ^−2 and the detuning δ (the frequency detuning of the lattice laser frequency relative to the magic frequency) is in the range of 40.7–40.9 MHz, the fractional Stark shifts of the clock transition are less than 1.0 × 10 ^−18 . While, when I is in the range of 15.01–15.46 kW cm ^−2 and δ is in the range of 40.73–40.76 MHz, the fractional Stark shifts are lower than 1.0 × 10 ^−19 .
Keywords	polarizability ; magic wavelengths ; multipolar and nonlinear Stark shifts ; Science ; Q ; Physics ; QC1-999
Subject code	541
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	IOP Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear

Lei Wu / Kaijie Sha / Ye Tao / Bingfeng Ju / Yuanliu Chen

Applied Sciences, Vol 13, Iss 6675, p

2023 Volume 6675

Abstract: Diamond cutting-tool wear has a direct impact on the processing accuracy of the machined surface in ultra-precision diamond cutting. It is difficult to monitor the tool’s condition because of the slight wear amount. This paper proposed a hybrid deep ... ...

Abstract	Diamond cutting-tool wear has a direct impact on the processing accuracy of the machined surface in ultra-precision diamond cutting. It is difficult to monitor the tool’s condition because of the slight wear amount. This paper proposed a hybrid deep learning model for tool wear state prediction in ultra-precision diamond cutting. The cutting force was accurately estimated and the wear state of the diamond tool was predicted by using the hybrid deep learning model with the motion displacement, velocity, and other signals in the machining process. By carrying out machining experiments, this method can classify diamond-tool wear condition with an accuracy of more than 85%. Meanwhile, the effectiveness of the proposed method was verified by comparing it with a variety of machine learning models.
Keywords	ultra-precision diamond cutting ; cutting-tool wear ; in-process prediction ; digital twin ; deep learning ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	670
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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