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Article ; Online: Deformation Monitoring of Tailings Reservoir Based on Polarimetric Time Series InSAR

Hao Wu / Xiangyuan Zheng / Hongdong Fan / Zeming Tian

Remote Sensing, Vol 14, Iss 3655, p

Example of Kafang Tailings Reservoir, China

2022 Volume 3655

Abstract: Safe operation of tailings reservoirs is essential to protect downstream life and property, but current monitoring methods are inadequate in scale and refinement, and most reservoirs are built in low coherence areas far from cities. Use of polarization ... ...

Abstract	Safe operation of tailings reservoirs is essential to protect downstream life and property, but current monitoring methods are inadequate in scale and refinement, and most reservoirs are built in low coherence areas far from cities. Use of polarization data to monitor deformation may improve area coherence and thus point selection density. With the example of the Kafang tailings reservoir and dual-polarization Sentinel-1 data from 9 August 2020 to 24 May 2021, homogeneous points of different polarization channels were identified with the hypothesis test of the confidence interval method. Results were fused, and BEST, sub-optimum scattering mechanism (SOM), and equal scattering mechanism (ESM) methods were used to optimize phase quality of persistent scatterer (PS) and distributed scatterer (DS) pixels and obtain more detailed deformation information on the area with time series processing. The fusion of homogeneous point sets obtained from different polarization intensity data increased the number of homogeneous points, which was 3.86% and 8.45% higher than that of VH and VV polarization images, respectively. The three polarization optimization methods improved point selection density. Compared with the VV polarization image, the high coherence point density increased by 1.83 (BEST), 3.66 (SOM), and 5.76 (ESM) times, whereas it increased by 1.17 (BEST), 1.84 (SOM), and 2.04 (ESM) times in the tailings reservoir. The consistency and reliability of different methods were good. By comparing the monitoring results of the three methods using polarization data, the hypothesis test of the confidence interval (HTCI) algorithm, and the polarization optimization method will effectively increase the point selection number of the study area, and the ESM method can show the deformation of tailings area more comprehensively. Monitoring indicated deformation of the tailings reservoir tended to diffuse outward from the area with the largest deformation and was relatively stable.
Keywords	dual-polarized Sentinel-1 data ; polarization time series technique ; point selection density ; tailings reservoir ; deformation monitoring ; Science ; Q
Subject code	541
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Wide-angle and broadband solar absorber made using highly efficient large-area fabrication strategy.

Hou, Wenjie / Yang, Fan / Chen, Zeming / Dong, Jianwen / Jiang, Shaoji

Optics express

2022 Volume 30, Issue 3, Page(s) 4424–4433

Abstract: High performance and cost-effective solar absorbers are crucial for various optical applications, such as solar collection and thermophotovoltaic devices. This study designs and experimentally demonstrates a wide-angle and broadband solar absorber. The ... ...

Abstract	High performance and cost-effective solar absorbers are crucial for various optical applications, such as solar collection and thermophotovoltaic devices. This study designs and experimentally demonstrates a wide-angle and broadband solar absorber. The proposed absorber is composed of tapered polyimide substrate and Al-Cr-SiO
Language	English
Publishing date	2022-02-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	1491859-6
ISSN	1094-4087 ; 1094-4087
ISSN (online)	1094-4087
ISSN	1094-4087
DOI	10.1364/OE.451411
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: CO

Fan, Mengmeng / Xu, Jing / Wang, Yan / Yuan, Qixin / Zhao, Yuying / Wang, Zeming / Jiang, Jianchun

Chemistry (Weinheim an der Bergstrasse, Germany)

2022 Volume 28, Issue 60, Page(s) e202201996

Abstract: Oxygen species functionalized graphene (O-G) is an effective electrocatalyst for electrochemically synthesizing hydrogen peroxide ( ... ...

Abstract	Oxygen species functionalized graphene (O-G) is an effective electrocatalyst for electrochemically synthesizing hydrogen peroxide (H
Language	English
Publishing date	2022-08-25
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1478547-X
ISSN	1521-3765 ; 0947-6539
ISSN (online)	1521-3765
ISSN	0947-6539
DOI	10.1002/chem.202201996
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image.

Ge, Chenkun / Yu, Xiaojun / Yuan, Miao / Fan, Zeming / Chen, Jinna / Shum, Perry Ping / Liu, Linbo

Biomedical optics express

2024 Volume 15, Issue 2, Page(s) 1233–1252

Abstract: Optical coherence tomography (OCT) inevitably suffers from the influence of speckles originating from multiple scattered photons owing to its low-coherence interferometry property. Although various deep learning schemes have been proposed for OCT ... ...

Abstract	Optical coherence tomography (OCT) inevitably suffers from the influence of speckles originating from multiple scattered photons owing to its low-coherence interferometry property. Although various deep learning schemes have been proposed for OCT despeckling, they typically suffer from the requirement for ground-truth images, which are difficult to collect in clinical practice. To alleviate the influences of speckles without requiring ground-truth images, this paper presents a self-supervised deep learning scheme, namely, Self2Self strategy (S2Snet), for OCT despeckling using a single noisy image. Specifically, in this study, the main deep learning architecture is the Self2Self network, with its partial convolution being updated with a gated convolution layer. Specifically, both the input images and their Bernoulli sampling instances are adopted as network input first, and then, a devised loss function is integrated into the network to remove the background noise. Finally, the denoised output is estimated using the average of multiple predicted outputs. Experiments with various OCT datasets are conducted to verify the effectiveness of the proposed S2Snet scheme. Results compared with those of the existing methods demonstrate that S2Snet not only outperforms those existing self-supervised deep learning methods but also achieves better performances than those non-deep learning ones in different cases. Specifically, S2Snet achieves an improvement of 3.41% and 2.37% for PSNR and SSIM, respectively, as compared to the original Self2Self network, while such improvements become 19.9% and 22.7% as compared with the well-known non-deep learning NWSR method.
Language	English
Publishing date	2024-01-30
Publishing country	United States
Document type	Journal Article
ZDB-ID	2572216-5
ISSN	2156-7085
ISSN	2156-7085
DOI	10.1364/BOE.515520
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Unveiling the hidden risks: Pesticide residues in aquaculture systems.

Gan, Weijia / Zhang, Rongrong / Cao, Zhi / Liu, Hao / Fan, Wentao / Sun, Aili / Song, Suquan / Zhang, Zeming / Shi, Xizhi

The Science of the total environment

2024 Volume 929, Page(s) 172388

Abstract: The present study systematically assessed the presence and ecological risks of 79 pesticides in various aquaculture systems, namely pond aquaculture (PA), greenhouse aquaculture (GA), and raceway aquaculture (RA) at different aquaculture stages, along ... ...

Abstract	The present study systematically assessed the presence and ecological risks of 79 pesticides in various aquaculture systems, namely pond aquaculture (PA), greenhouse aquaculture (GA), and raceway aquaculture (RA) at different aquaculture stages, along with evaluating the pesticide removal of four tailwater treatment systems. Sixteen herbicides and two fungicides were identified, with the total concentrations ranging from 8.33 ng/L to 3248.45 ng/L. The PA system demonstrated significantly higher concentrations (p < 0.05) and a wider range of pesticide residues compared to the GA and RA systems. Prometryn, simetryn, atrazine, and thifluzamide were found to be the predominant pesticides across all three aquaculture modes, suggesting their significance as pollutants that warrant monitoring. Additionally, the findings indicated that the early aquaculture stage exhibits the highest levels of pesticide concentration, underscoring the importance of heightened monitoring and regulatory interventions during this phase. Furthermore, among the four tailwater treatment systems analyzed, the recirculating tailwater treatment system exhibited the highest efficacy in pesticide removal. A comprehensive risk assessment revealed minimal ecological risks in both the aquaculture and tailwater environments. However, the pesticide mixtures present high risks to algae and low to medium risks to aquatic invertebrates and fish, particularly during the early stages of aquaculture. Simetryn and prometryn were identified as high-risk pesticides. Based on the prioritization index, simetryn, prometryn, diuron, and ametryn are recommended for prioritization in risk assessment. This study offers valuable data for pesticide control and serves as a reference for the establishment of a standardized pesticide monitoring and management system at various stages of aquaculture.
Language	English
Publishing date	2024-04-16
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2024.172388
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data

Yanan Ji / Xiang Zhang / Tao Li / Hongdong Fan / Yaozong Xu / Peizhen Li / Zeming Tian

Remote Sensing, Vol 15, Iss 24, p

2023 Volume 5668

Abstract: Coal mining leads to surface subsidence, landslides, soil erosion and other problems that seriously threaten the life and property safety of residents in mining areas, and it is urgent to obtain mining subsidence information using high-frequency, high- ... ...

Abstract	Coal mining leads to surface subsidence, landslides, soil erosion and other problems that seriously threaten the life and property safety of residents in mining areas, and it is urgent to obtain mining subsidence information using high-frequency, high-precision and large-scale monitoring methods. Therefore, this paper mainly studies the deformation monitoring of the Datong mining area using Lutan-1 monostatic and bistatic SAR data. Firstly, the latest Lutan-1 bistatic data are used to reconstruct the DSM, and the interferometric calibration method is used to improve the accuracy of the DSM. Then, the surface deformation monitoring of the mining area is implemented by using DInSAR, SBAS-InSAR and Stacking-InSAR with the reconstructed DSM data and Lutan-1 monostatic SAR data. Finally, the deformation monitoring results are compared with the surface deformation results based on the TanDEM data, and both the results are evaluated using the filed leveling data. Taking 20 images covering the Datong mining area as the data sources, the surface deformation results obtained using different InSAR methods in the mining area were quantitatively evaluated and analyzed. The results indicated that: (1) the DSM obtained using the Lutan-1 bistatic SAR data was assessed and demonstrated with the ICESat laser altimetry data an error of 2.8 m, which meets the Chinese 1:50,000 scale DEM cartographic accuracy standard, and the difference analysis with the TanDEM data shows that the terrain changes are mainly distributed in mountainous areas; (2) Due to the improvement in resolution, the registration accuracy of the SAR images and LT-DSM is higher than that of the TanDEM data in the range direction and azimuth direction; (3) Via evaluation with the filed leveling data, it is found that the surface deformation measurement results based on LT-DSM are less affected by terrain, and the accuracy of LT-DSM-SBAS and LT-DSM-DInSAR is improved by 11.5% and 16.3%, respectively, compared with TanDEM-SBAS and TanDEM-DInSAR, which demonstrates the ...
Keywords	Lutan-1 ; TanDEM ; LT-DSM ; DInSAR ; SBAS-InSAR ; Stacking-InSAR ; Science ; Q
Subject code	669
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: Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography images.

Yu, Xiaojun / Ge, Chenkun / Li, Mingshuai / Aziz, Muhammad Zulkifal / Mo, Jianhua / Fan, Zeming

Journal of medical imaging (Bellingham, Wash.)

2023 Volume 10, Issue 2, Page(s) 24006

Abstract: Purpose: Optical coherence tomography (OCT) is a noninvasive, high-resolution imaging modality capable of providing both cross-sectional and three-dimensional images of tissue microstructures. Owing to its low-coherence interferometry nature, however, ... ...

Abstract	Purpose: Optical coherence tomography (OCT) is a noninvasive, high-resolution imaging modality capable of providing both cross-sectional and three-dimensional images of tissue microstructures. Owing to its low-coherence interferometry nature, however, OCT inevitably suffers from speckles, which diminish image quality and mitigate the precise disease diagnoses, and therefore, despeckling mechanisms are highly desired to alleviate the influences of speckles on OCT images. Approach: We propose a multiscale denoising generative adversarial network (MDGAN) for speckle reductions in OCT images. A cascade multiscale module is adopted as MDGAN basic block first to raise the network learning capability and take advantage of the multiscale context, and then a spatial attention mechanism is proposed to refine the denoised images. For enormous feature learning in OCT images, a deep back-projection layer is finally introduced to alternatively upscale and downscale the features map of MDGAN. Results: Experiments with two different OCT image datasets are conducted to verify the effectiveness of the proposed MDGAN scheme. Results compared those of the state-of-the-art existing methods show that MDGAN is able to improve both peak-single-to-noise ratio and signal-to-noise ratio by 3 dB at most, with its structural similarity index measurement and contrast-to-noise ratio being 1.4% and 1.3% lower than those of the best existing methods. Conclusions: Results demonstrate that MDGAN is effective and robust for OCT image speckle reductions and outperforms the best state-of-the-art denoising methods in different cases. It could help alleviate the influence of speckles in OCT images and improve OCT imaging-based diagnosis.
Language	English
Publishing date	2023-03-30
Publishing country	United States
Document type	Journal Article
ISSN	2329-4302
ISSN	2329-4302
DOI	10.1117/1.JMI.10.2.024006
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Deformation Monitoring of Tailings Reservoir Based on Polarimetric Time Series InSAR: Example of Kafang Tailings Reservoir, China

Wu, Hao / Zheng, Xiangyuan / Fan, Hongdong / Tian, Zeming

Remote Sensing. 2022 July 29, v. 14, no. 15

2022

Abstract	Safe operation of tailings reservoirs is essential to protect downstream life and property, but current monitoring methods are inadequate in scale and refinement, and most reservoirs are built in low coherence areas far from cities. Use of polarization data to monitor deformation may improve area coherence and thus point selection density. With the example of the Kafang tailings reservoir and dual-polarization Sentinel-1 data from 9 August 2020 to 24 May 2021, homogeneous points of different polarization channels were identified with the hypothesis test of the confidence interval method. Results were fused, and BEST, sub-optimum scattering mechanism (SOM), and equal scattering mechanism (ESM) methods were used to optimize phase quality of persistent scatterer (PS) and distributed scatterer (DS) pixels and obtain more detailed deformation information on the area with time series processing. The fusion of homogeneous point sets obtained from different polarization intensity data increased the number of homogeneous points, which was 3.86% and 8.45% higher than that of VH and VV polarization images, respectively. The three polarization optimization methods improved point selection density. Compared with the VV polarization image, the high coherence point density increased by 1.83 (BEST), 3.66 (SOM), and 5.76 (ESM) times, whereas it increased by 1.17 (BEST), 1.84 (SOM), and 2.04 (ESM) times in the tailings reservoir. The consistency and reliability of different methods were good. By comparing the monitoring results of the three methods using polarization data, the hypothesis test of the confidence interval (HTCI) algorithm, and the polarization optimization method will effectively increase the point selection number of the study area, and the ESM method can show the deformation of tailings area more comprehensively. Monitoring indicated deformation of the tailings reservoir tended to diffuse outward from the area with the largest deformation and was relatively stable.
Keywords	algorithms ; confidence interval ; deformation ; polarimetry ; system optimization ; time series analysis ; China
Language	English
Dates of publication	2022-0729
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14153655
Database	NAL-Catalogue (AGRICOLA)

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Article: The Impact of Early Neighborhood Cohesion, and Its Mechanism, on Cognitive Function in Later Life.

Zhou, Tao / Zhang, Xiaoyi / Fan, Shuming / Deng, Zeming / Jiao, Can

Frontiers in psychiatry

2022 Volume 13, Page(s) 848911

Abstract: Objectives: This study aimed to explore the impact of early neighborhood cohesion, and its mechanism, on cognitive function in later life.: Methods: In total, 10,727 Chinese elderly, aged 60-90, forming two datasets (2014 and 2018) from the China ... ...

Abstract	Objectives: This study aimed to explore the impact of early neighborhood cohesion, and its mechanism, on cognitive function in later life. Methods: In total, 10,727 Chinese elderly, aged 60-90, forming two datasets (2014 and 2018) from the China Health and Retirement Longitudinal Study (CHARLS) were used as a sample. Childhood neighborhood cohesion was measured by the extent of how much neighbors were willing to help and how close-knit neighbors were. Mini-Mental State Examination (MMSE) and Center for Epidemiologic Studies Depression Scale (CESD-10) were used to assess the cognitive functions and depression of the elderly. We used a structural equation model to examine the relationship between early neighborhood cohesion and late-life cognitive function and conducted bootstrapping analyses to assess the mechanism. Results: Cognitive function was positively predicted by childhood neighborhood cohesion (β = 0.06, Conclusion: The findings suggest that childhood neighborhood cohesion positively predicts cognitive function among elderly people through the mediating roles of childhood friendship, depression, and social activity engagement. Childhood neighborhood cohesion is correlated with better childhood friendships, then to fewer depression symptoms and greater elderly social activity participation, and finally to better cognitive functions in the elderly.
Language	English
Publishing date	2022-04-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2564218-2
ISSN	1664-0640
ISSN	1664-0640
DOI	10.3389/fpsyt.2022.848911
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Application of thrombolysis in myocardial infarction risk index in the prediction of long-term outcomes for patients with ST-elevation myocardial infarction and multiple vessel disease: A single-center prospective observational cohort study.

Fan, Xuefang / Li, Mingliang / Cao, Jie / Liang, Zeming

Experimental and therapeutic medicine

2021 Volume 22, Issue 6, Page(s) 1464

Abstract: The thrombolysis in myocardial infarction (TIMI) risk index has been indicated to be a simple and useful tool for risk stratification of patients with ST-elevation myocardial infarction (STEMI). However, the predictive value of the TIMI risk index ... ...

Abstract	The thrombolysis in myocardial infarction (TIMI) risk index has been indicated to be a simple and useful tool for risk stratification of patients with ST-elevation myocardial infarction (STEMI). However, the predictive value of the TIMI risk index regarding the long-term outcome for patients with STEMI with multiple vessel disease has remained to be determined. In the present study, a total of 369 patients diagnosed with STEMI who received emergency percutaneous coronary intervention treatment were analyzed. A five-year follow-up was performed to record the primary endpoint of all-cause mortality, as well as the secondary endpoints of myocardial infarction, stroke, emergent revascularization and admission due to heart failure. A receiver operating characteristic (ROC) curve was used to determine the cut-off value of the TIMI risk index for predicting all-cause death, based on which the patients were divided into a high TIMI group and a low TIMI group. Kaplan-Meier survival curves were used to compare the long-term survival of the two groups and multivariate Cox regression analysis was used to evaluate the predictive value of the risk factors regarding primary and secondary endpoints. The ROC curve indicated that the TIMI risk index was associated with three-year all-cause death with a cut-off value of 30.35 (area under curve, 0.705; P=0.001). The high TIMI group (>30.35) and low TIMI group (<30.35) exhibited a significant difference in all-cause death (P=0.009) but not in any of the secondary endpoints (P=0.527). Multivariate Cox regression analysis demonstrated that a high TIMI risk index was an independent risk factor for all-cause death in patients with STEMI and multiple-vessel disease (hazard ratio=3.709, 95% CI: 1.521-9.046, P=0.004). In conclusion, the TIMI risk index was associated with long-term outcomes for patients with STEMI and multiple-vessel disease and may be of value for risk prediction.
Language	English
Publishing date	2021-10-20
Publishing country	Greece
Document type	Journal Article
ZDB-ID	2683844-8
ISSN	1792-1015 ; 1792-0981
ISSN (online)	1792-1015
ISSN	1792-0981
DOI	10.3892/etm.2021.10899
Database	MEDical Literature Analysis and Retrieval System OnLINE

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