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Identification and Suppression of Multicomponent Noise in Audio Magnetotelluric Data Based on Convolutional Block Attention Module

Zhang, Liang (author), Li, Guang (author), Chen, Huang (author), Tang, Jingtian (author), Yang, Guanci (author), Yu, Mingbiao (author), Hu, Yong (author), Xu, Jun (author), Sun, J. (author)

Audio magnetotelluric (AMT) is commonly used in mineral resource exploration. However, the weak energy of AMT signals makes them susceptible to being overwhelmed by noise, leading to erroneous geophysical interpretations. In recent years, deep learning has been applied to AMT denoising and has shown better denoising performance compared to...

journal article 2024

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Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection

Liu, Tong (author), Chen, Zhuoyao (author), Yang, Jingzhi (author), Ma, Lingwei (author), Mol, J.M.C. (author), Zhang, Dawei (author)

Machine learning is a powerful means for the rapid development of high-performance functional materials. In this study, we presented a machine learning workflow for predicting the corrosion resistance of a self-healing epoxy coating containing ZIF-8@Ca microfillers. The orthogonal Latin square method was used to investigate the effects of the...

journal article 2024

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Insights into sulfur and hydrogen sulfide induced corrosion of sintered nanocopper paste: A combined experimental and ab initio study

Chen, Wei (author), Liu, Xu (author), Yang, Zhoudong (author), Liu, X. (author), Hu, D. (author), Zhu, Xi (author), Fan, X. (author), Zhang, Kouchi (author), Fan, J. (author)

The power semiconductor joining technology through sintering of copper nanoparticles is well-suited for die attachment in wide bandgap (WBG) semiconductors, offering high electrical, thermal, and mechanical performances. However, sintered nanocopper will be prone to degradation resulting from corrosion in sulfur-containing corrosive...

journal article 2024

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Comprehensive properties assessment of asphalt binder under aqueous solutions with different pH values and its gradient damage behaviors

Zou, Yingxue (author), Wu, Shaopeng (author), Chen, Anqi (author), Liu, Quantao (author), Amirkhanian, Serji (author), Xu, S. (author), Yang, Chao (author), Wan, Pei (author), Xu, Haiqin (author), Lu, Ziyu (author)

This study characterized the morphology, high-temperature property, rheological property, adhesion, cohesion, and chemical component of asphalt binder under aqueous solutions of different pH values. Then the physicochemical properties of asphalt binder were comprehensively evaluated by the improved radar chart. The properties of asphalt...

journal article 2024

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Autonomic responses to pressure sensitivity of head, face and neck: Heart rate and skin conductance

Yang, W. (author), Chen, Tingshu (author), He, Renke (author), Goossens, R.H.M. (author), Huysmans, T. (author)

Subjective scales are frequently used in the design process of head-related products to assess pressure discomfort. Nevertheless, some users lack fundamental cognitive and motor abilities (e.g., paralyzed patients). Therefore, it is vital to find non-verbal measurements of pressure discomfort and pressure pain. This study gathered the autonomic...

journal article 2024

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An agent-based resilience model of oil tank farms exposed to earthquakes

Tan, Xinxin (author), Xiao, Shenbin (author), Yang, Yu (author), Khakzad, Nima (author), Reniers, G.L.L.M.E. (author), Chen, Chao (author)

Frequent unpredictable earthquake disasters such as the Turkey Earthquake in 2023 pose an increasing threat to oil tank farms since they may trigger major accidents and domino effects, resulting in casualties, economic losses, and environmental pollution. Unpredictable earthquakes are definitely difficult to prevent and thus resilience...

journal article 2024

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Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques

Zhi, Danyue (author), Zhao, Hepeng (author), Chen, Yan (author), Song, Weize (author), Song, Dongdong (author), Yang, Y. (author)

The configuration of the urban built environment is critical for promoting sustainability and achieving carbon neutrality. However, existing studies mostly use linear and spatial econometric models to investigate the relationship between urban built environments and traffic carbon dioxide (CO₂) emissions, in-depth studies exploring...

journal article 2024

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Plastic particles affect N₂O release via altering core microbial metabolisms in constructed wetlands

Yang, X. (author), Chen, Yi (author), Liu, Tao (author), Zhang, Lu (author), Wang, Hui (author), Chen, Mengli (author), He, Qiang (author), Liu, G. (author), Ju, Feng (author)

Constructed wetlands (CWs) have been proven to effectively immobilize plastic particles. However, little is known about the differences in the impact of varying sized plastic particles on nitrous oxide (N₂O) release, as well as the intervention mechanisms in CWs. Here, we built a lab-scale wetland model and introduced plastic...

journal article 2024

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Buckling failure analysis of storage tanks under the synergistic effects of fire and wind loads

Chen, Chao (author), Chen, Hang (author), Mo, Li (author), Xiao, Shenbin (author), Li, Changjun (author), Yang, M. (author), Reniers, G.L.L.M.E. (author)

Fire-induced domino effect is one of the main threats to hazardous material storage tanks, and many attempts have been conducted to assess the vulnerability of storage tanks exposed to fire to evaluate domino effect risk. However, past research ignored the influence of wind load on the thermal buckling behavior of storage tanks exposed to...

journal article 2024

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Real-time pipeline leak detection and localization using an attention-based LSTM approach

Zhang, Xinqi (author), Shi, Jihao (author), Yang, M. (author), Huang, Xinyan (author), Usmani, Asif Sohail (author), Chen, Guoming (author), Fu, Jianmin (author), Huang, Jiawei (author), Li, Junjie (author)

Long short-term memory (LSTM) has been widely applied to real-time automated natural gas leak detection and localization. However, LSTM approach could not provide the interpretation that this leak position is localized instead of other positions. This study proposes a leakage detection and localization approach by integrating the attention...

journal article 2023

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A bio-inspired and switchable H⁺/OH⁻ ion-channel for room temperature exhaled CO₂ chemiresistive sensing

Chen, Honghao (author), Lu, Ruofei (author), Gao, Yixun (author), Yue, Xiaorui (author), Yang, Haihong (author), Li, Hao (author), Lee, Yi Kuen (author), French, P.J. (author), Wang, Yao (author), Zhou, Guofu (author)

Inspired by the CO₂-induced reversible activation mechanism of the slow anion channel 1 (SLAC1) in plant stomatal guard cells during plant photosynthesis, we designed and prepared a CO₂- switchable H⁺/OH⁻ ion channel (CSPH ion channel). A high-performance chemiresistive room temperature CO<sub>2<...

journal article 2023

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Estimating intercity heavy truck mobility flows using the deep gravity framework

Yang, Y. (author), Jia, Bin (author), Yan, Xiao Yong (author), Chen, Yan (author), Song, Dongdong (author), Zhi, Danyue (author), Wang, Y. (author), Gao, Ziyou (author)

Accurate estimation of intercity heavy truck mobility flows is of vital importance to urban planning, transportation management and logistics operations. The inaccessibility of big data related to intercity transport systems and the heterogeneity of trucking activities pose challenges for the reliable estimation. Recently, the advance of...

journal article 2023

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Recognition of Unsafe Onboard Mooring and Unmooring Operation Behavior Based on Improved YOLO-v4 Algorithm

Zhao, Changjiu (author), Zhang, Wenjun (author), Chen, C.Y. (author), Yang, Xue (author), Yue, Jingwen (author), Han, Bing (author)

In the maritime industry, unsafe behaviors exhibited by crew members are a significant factor contributing to shipping and occupational accidents. Among these behaviors, unsafe operation of mooring lines is particularly prone to causing severe accidents. Video-based monitoring has been demonstrated as an effective means of detecting these...

journal article 2023

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An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents

Chen, Xing lin (author), Lin, Wei dong (author), Liu, Chun xiang (author), Yang, Fu qiang (author), Guo, Yong (author), Li, Xin (author), Yuan, S. (author), Reniers, G.L.L.M.E. (author)

Natural gas pipeline construction is developing rapidly worldwide to meet the needs of international and domestic energy transportation. Meanwhile, leakage accidents occur to natural gas pipelines frequently due to mechanical failure, personal operation errors, etc., and induce huge economic property loss, environmental damages, and even...

journal article 2023

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Distribution of porosity surrounding a microfiber in cement paste

He, S. (author), Chen, Y. (author), Liang, M. (author), Yang, En-Hua (author), Schlangen, E. (author)

This study investigates the microstructural changes of cement paste due to the inclusion of polymeric microfiber at different water-to-cement (w/c) ratios. A procedure to quantify the porosity of epoxy impregnated interfacial transition zone (ITZ) is also presented. Results show that the microstructures of the ITZ beneath and above a...

journal article 2023

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Toward a Universal Unit for Quantification of Antibiotic Resistance Genes in Environmental Samples

Yin, Xiaole (author), Chen, Xi (author), Jiang, Xiao Tao (author), Yang, Ying (author), Li, Bing (author), Shum, Marcus Ho Hin (author), Schmitt, H. (author), Cha, Chang Jun (author), van Loosdrecht, Mark C.M. (author)

Surveillance of antibiotic resistance genes (ARGs) has been increasingly conducted in environmental sectors to complement the surveys in human and animal sectors under the "One-Health"framework. However, there are substantial challenges in comparing and synthesizing the results of multiple studies that employ different test methods and...

journal article 2023

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Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data

Zhang, Xinqi (author), Shi, Jihao (author), Huang, Xinyan (author), Xiao, Fu (author), Yang, M. (author), Huang, Jiawei (author), Yin, Xiaokang (author), Sohail Usmani, Asif (author), Chen, Guoming (author)

Deep learning has been widely applied to automated leakage detection and location of natural gas pipe networks. Prevalent deep learning approaches do not consider the spatial dependency of sensors, which limits leakage detection performance. Graph deep learning is a promising alternative to prevailing approaches as it can model spatial...

journal article 2023

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The Covariation of Color and Orange Fluorescence Instabilities in Yellow Sapphires

Yang, Yunqi (author), Wang, C. (author), Wang, Chengsi (author), Shen, Xibing (author), Yin, Ke (author), Chen, Tao (author), Shen, Andy Hsitien (author), Algeo, Thomas J. (author), Hong, Hanlie (author)

In recent years, some sapphires were found to fade in sunlight and to increase their color after UV irradiation. This unstable color phenomenon is attributed to the photochromism of corundum. The photochromic effect seriously affects the grading and evaluation of sapphires, although its mechanism is still uncertain. Here, we performed a set...

journal article 2023

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Effect of epoxy resin addition on properties and corrosion behavior of sintered joints in power modules serviced offshore

Wang, Xinyue (author), Yang, Zhoudong (author), Wang, Boya (author), Chen, Wei (author), Zhang, Kouchi (author), Zhang, Jing (author), Fan, J. (author), Liu, P. (author)

Power modules applied in offshore applications are facing risks of corrosion failures on die-attach materials due to high humidity and H₂S exposure. To investigate such corrosion behavior for sintered die-attach materials, we conducted a study with four groups of samples fabricated using copper and silver metal particles under...

journal article 2023

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Slight Multielement Doping-Induced Structural Order-Disorder Transition for High-Performance Layered Na-Ion Oxide Cathodes

Guo, Hao (author), Zhao, C. (author), Gao, Jianxiang (author), Yang, Wenyun (author), Hu, Xufeng (author), Ma, Xiaobai (author), Jiao, Xuesheng (author), Yang, Jinbo (author), Sun, Kai (author), Chen, Dongfeng (author)

To realize concurrently the high-energy density and excellent cycling stability, maximum utilization of redox couple, minimization of detrimental phase transition, and structural degradation of O3-type layered oxide cathodes are critical for developing Na-ion batteries. Ni²⁺/Ni⁴⁺ redox couple showing multielectron...

journal article 2023