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Article: Effect of Different Smoke Vent Layouts on Smoke and Temperature Distribution in Single-Side Multi-Point Exhaust Tunnel Fires: A Case Study

Tao, Liangliang / Zeng, Yanhua

Fire. 2022 Feb. 18, v. 5, no. 1

2022

Abstract: In this paper, a numerical model verified by a 1:10 small-scale model test was used to study the effect of different smoke vent layouts on fire characteristics and smoke exhaust efficiency. The results show that the total smoke spread length is shortest ... ...

Abstract	In this paper, a numerical model verified by a 1:10 small-scale model test was used to study the effect of different smoke vent layouts on fire characteristics and smoke exhaust efficiency. The results show that the total smoke spread length is shortest when four smoke vents are opened near the fire source. If there are more than four smoke vents, some of them will only inhale fresh air rather than smoke. More seriously, some smoke vents will promote the spread of toxic smoke farther. Under different smoke vent layout schemes, the maximum temperature shows the same change trend with the increase in smoke exhaust volume (first increasing and then decreasing). When there are four smoke vents, the temperature field is in a good range compared with other schemes. If four smoke vents are opened, the total smoke exhaust efficiency is highest, and exhaust rate has little influence on total exhaust efficiency. Total smoke exhaust efficiency of the tunnel is more than 93.7% under different exhaust volumes, and the maximum difference of total smoke exhaust efficiency is less than 1.5% under different exhaust volume of Case “4”. The exhaust volume has little influence on temperature decay beneath the ceiling, and a temperature attenuation model of a point exhaust tunnel with four smoke vents was proposed. For the single-side point exhaust tunnels, the number of smoke vents near the exhaust fan side shall not be more than that on the other side. Four smoke vents shall be opened in case of fire and the exhaust volume is 220 m³/s with HRR of 30 MW.
Keywords	air ; case studies ; mathematical models ; smoke ; temperature ; toxicity
Language	English
Dates of publication	2022-0218
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ISSN	2571-6255
DOI	10.3390/fire5010028
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Spectral band selection and ANIMR-GAN for high-performance multispectral coal gangue classification.

Wang, Qingya / Hua, Huaitian / Tao, Liangliang / Liang, Yage / Deng, Xiaozheng / Yu, Fen

Scientific reports

2024 Volume 14, Issue 1, Page(s) 7777

Abstract: Low-energy and efficient coal gangue sorting is crucial for environmental protection. Multispectral imaging (MSI) has emerged as a promising technology in this domain. This work addresses the challenge of low resolution and poor recognition performance ... ...

Abstract	Low-energy and efficient coal gangue sorting is crucial for environmental protection. Multispectral imaging (MSI) has emerged as a promising technology in this domain. This work addresses the challenge of low resolution and poor recognition performance in underground MSI equipment. We propose an attention-based multi-level residual network (ANIMR) within a super-resolution reconstruction model (ANIMR-GAN) inspired by CycleGAN. This model incorporates improvements to the discriminator and loss function. We trained the model on 600 coal and gangue MSI samples and validated it on an independent set of 120 samples. The ANIMR-GAN, combined with a random forest classifier, achieved a maximum accuracy of 97.78% and an average accuracy of 93.72%. Furthermore, the study identifies the 959.37 nm band as optimal for coal and gangue classification. Compared to existing super-resolution methods, ANIMR-GAN offers advantages, paving the way for intelligent and efficient coal gangue sorting, ultimately promoting advancements in sustainable mineral processing.
Language	English
Publishing date	2024-04-02
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/s41598-024-58379-y
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Article ; Online: Metformin prevented high glucose-induced endothelial reactive oxygen species via OGG1 in an AMPKα-Lin-28 dependent pathway.

Tao, Liangliang / Fan, Xiucai / Sun, Jin / Zhang, Zhu

Life sciences

2021 Volume 268, Page(s) 119015

Abstract: Aims: Metformin improves vascular function in obese type 2 diabetic patients. 8-Oxoguanine glycosylase (OGG1) is a main DNA glycosylase that is involved in vascular complications in various diseases. However, whether metformin suppresses endothelial ... ...

Abstract	Aims: Metformin improves vascular function in obese type 2 diabetic patients. 8-Oxoguanine glycosylase (OGG1) is a main DNA glycosylase that is involved in vascular complications in various diseases. However, whether metformin suppresses endothelial reactive species oxygen production via the OGG1 pathway is unclear. Main methods: Human umbilical vein endothelial cells (HUVECs) were exposed to HG (high glucose) with or without metformin. OGG1 and AMPKα levels were measured after metformin treatment, while HG-induced ROS were measured by a DHE probe. Key findings: Metformin reduced HG-induced endothelial ROS by upregulating OGG1. Additionally, OGG1 protein expression was dependent on its mRNA stability, which was reversed by genetic inhibition of AMPKα and Lin-28. Furthermore, the effect of OGG1 on HG-induced ROS was partially dependent on the AHR/Nrf2 pathway in HUVECs. Significance: These results suggested that metformin modulated HG-induced endothelial ROS via the AMPKα/Lin-28/OGG1 pathway.
MeSH term(s)	AMP-Activated Protein Kinases/antagonists & inhibitors ; AMP-Activated Protein Kinases/genetics ; AMP-Activated Protein Kinases/metabolism ; Basic Helix-Loop-Helix Transcription Factors/metabolism ; DNA Glycosylases/genetics ; DNA Glycosylases/metabolism ; Gene Expression Regulation/drug effects ; Glucose/pharmacology ; Human Umbilical Vein Endothelial Cells ; Humans ; Metformin/pharmacology ; NF-E2-Related Factor 2/metabolism ; Oxidative Stress/drug effects ; Phosphorylation ; RNA Stability ; RNA-Binding Proteins/metabolism ; Reactive Oxygen Species/metabolism ; Receptors, Aryl Hydrocarbon/metabolism
Chemical Substances	AHR protein, human ; Basic Helix-Loop-Helix Transcription Factors ; Lin28A protein, human ; NF-E2-Related Factor 2 ; NFE2L2 protein, human ; RNA-Binding Proteins ; Reactive Oxygen Species ; Receptors, Aryl Hydrocarbon ; Metformin (9100L32L2N) ; PRKAA1 protein, human (EC 2.7.11.1) ; PRKAA2 protein, human (EC 2.7.11.1) ; AMP-Activated Protein Kinases (EC 2.7.11.31) ; DNA Glycosylases (EC 3.2.2.-) ; oxoguanine glycosylase 1, human (EC 3.2.2.-) ; Glucose (IY9XDZ35W2)
Language	English
Publishing date	2021-01-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	3378-9
ISSN	1879-0631 ; 0024-3205
ISSN (online)	1879-0631
ISSN	0024-3205
DOI	10.1016/j.lfs.2020.119015
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Article: Metformin prevented high glucose-induced endothelial reactive oxygen species via OGG1 in an AMPKα-Lin-28 dependent pathway

Tao, Liangliang / Fan, Xiucai / Sun, Jin / Zhang, Zhu

Life sciences. 2021 Mar. 01, v. 268

2021

Abstract: Metformin improves vascular function in obese type 2 diabetic patients. 8-Oxoguanine glycosylase (OGG1) is a main DNA glycosylase that is involved in vascular complications in various diseases. However, whether metformin suppresses endothelial reactive ... ...

Abstract	Metformin improves vascular function in obese type 2 diabetic patients. 8-Oxoguanine glycosylase (OGG1) is a main DNA glycosylase that is involved in vascular complications in various diseases. However, whether metformin suppresses endothelial reactive species oxygen production via the OGG1 pathway is unclear.Human umbilical vein endothelial cells (HUVECs) were exposed to HG (high glucose) with or without metformin. OGG1 and AMPKα levels were measured after metformin treatment, while HG-induced ROS were measured by a DHE probe.Metformin reduced HG-induced endothelial ROS by upregulating OGG1. Additionally, OGG1 protein expression was dependent on its mRNA stability, which was reversed by genetic inhibition of AMPKα and Lin-28. Furthermore, the effect of OGG1 on HG-induced ROS was partially dependent on the AHR/Nrf2 pathway in HUVECs.These results suggested that metformin modulated HG-induced endothelial ROS via the AMPKα/Lin-28/OGG1 pathway.
Keywords	DNA glycosylases ; glucose ; metformin ; noninsulin-dependent diabetes mellitus ; oxygen production ; protein synthesis ; reactive oxygen species ; umbilical veins
Language	English
Dates of publication	2021-0301
Publishing place	Elsevier Inc.
Document type	Article
Note	NAL-light
ZDB-ID	3378-9
ISSN	1879-0631 ; 0024-3205
ISSN (online)	1879-0631
ISSN	0024-3205
DOI	10.1016/j.lfs.2020.119015
Database	NAL-Catalogue (AGRICOLA)

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Article: Comparison of KOMPSAT-5 and Sentinel-1 Radar Data for Soil Moisture Estimations Using a New Semi-Empirical Model

Tao, Liangliang / Ryu, Dongryeol / Western, Andrew / Lee, Sun-Gu

Remote Sensing. 2022 Aug. 19, v. 14, no. 16

2022

Abstract: X-band KOMPSAT-5 provides a good perspective for soil moisture retrieval at high-spatial resolution over arid and semi-arid areas. In this paper, an intercomparison of KOMPSAT-5 and C-band Sentinel-1 radar data in soil moisture retrieval was conducted ... ...

Abstract	X-band KOMPSAT-5 provides a good perspective for soil moisture retrieval at high-spatial resolution over arid and semi-arid areas. In this paper, an intercomparison of KOMPSAT-5 and C-band Sentinel-1 radar data in soil moisture retrieval was conducted over agricultural fields in Wimmera, Victoria, Australia. Optical images from Sentinel-2 were also used to calculate the scattering contribution of vegetation. This study employed a new semi-empirical vegetation scattering model with a linear association of soil moisture with observed backscatter coefficient and vegetation indices. The Combined Vegetation Index (CVI) was proposed and first used to parameterize vegetation water content. As a result, the vegetation scattering model was developed to monitor soil moisture based on remotely sensed data and ground measurements. Application of the algorithm over dryland wheat field sites demonstrated that the estimated satellite-based soil moisture contents have good linear relationships with the ground measurements. The correlation coefficients (R) are 0.862 and 0.616, and the root mean square errors (RMSEs) have the values of 0.020 cm³/cm³ and 0.032 cm³/cm³ at X- and C-bands, respectively. Furthermore, the validation results also indicated that X-band provided higher consistent accuracy for soil moisture inversion than C-band. These results showed significant promise in retrieving soil moisture using KOMPSAT-5 and Sentinel-1 remotely sensed data at high-spatial resolution over agricultural fields, with subsequent uses for crop growth and yield estimation.
Keywords	algorithms ; arid lands ; models ; radar ; remote sensing ; satellites ; soil water ; vegetation ; vegetation index ; water content ; wheat ; Australia
Language	English
Dates of publication	2022-0819
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14164042
Database	NAL-Catalogue (AGRICOLA)

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Article: A New Drought Index for Soil Moisture Monitoring Based on MPDI-NDVI Trapezoid Space Using MODIS Data

Tao, Liangliang / Ryu, Dongryeol / Western, Andrew / Boyd, Dale

Remote Sensing. 2020 Dec. 31, v. 13, no. 1

2020

Abstract: The temperature vegetation dryness index (TVDI) has been commonly implemented to estimate regional soil moisture in arid and semi-arid regions. However, the parameterization of the dry edge in the TVDI model is performed with a constraint to define the ... ...

Abstract	The temperature vegetation dryness index (TVDI) has been commonly implemented to estimate regional soil moisture in arid and semi-arid regions. However, the parameterization of the dry edge in the TVDI model is performed with a constraint to define the maximum water stress conditions. Mismatch of the spatial scale between visible and thermal bands retrieved from remotely sensed data and terrain variations also affect the effectiveness of the TVDI. Therefore, this study proposed a new drought index named the condition vegetation drought index (CVDI) to monitor the temporal and spatial variations of soil moisture status by substituting the land surface temperature (LST) with the modified perpendicular drought index (MPDI). In situ soil moisture observations at crop and pasture sites in Victoria were used to validate the effectiveness of the CVDI. The results indicate that the dry and wet edges in the parameterization scheme of the CVDI formed a better-defined trapezoid shape than that of the TVDI. Compared with the MPDI and TVDI for soil moisture monitoring at crop sites, the CVDI exhibited a performance superior to the MPDI and TVDI in most days where the coefficients of determination (R²) achieved can reach to 0.67 on DOY023, 137, 274 and 0.71 on DOY 322 and reproduced more accurate spatial and seasonal variation of soil moisture. Moreover, the CVDI showed higher correlation with the Australian Water Resource Assessment Landscape (AWRA-L) soil moisture product on temporal scales. The R² can reach to 0.69 and the root mean square error (RMSE) is also much better than that of the MPDI and TVDI. Overall, it can be concluded that the CVDI appears to be a feasible method and can be successfully used in regional soil moisture monitoring.
Keywords	correlation ; drought ; landscapes ; models ; monitoring ; pastures ; remote sensing ; seasonal variation ; semiarid zones ; shape ; soil water ; surface temperature ; vegetation ; water stress
Language	English
Dates of publication	2020-1231
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
Note	NAL-light
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13010122
Database	NAL-Catalogue (AGRICOLA)

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Article: Interactions of lignin and LDPE during catalytic co-pyrolysis: Thermal behavior and kinetics study by TG-FTIR

Tao, Liangliang / Ma, Xianming / Ye, Lihui / Jia, Jingwen / Wang, Lu / Ma, Peiyong / Liu, Jian

Journal of analytical and applied pyrolysis. 2021 Sept., v. 158

2021

Abstract: Thermal behavior and interaction of Low-density polyethylene (LDPE) and lignin with HZSM-5 as catalyst during catalytic co-pyrolysis were analyzed by thermogravimetric analyzer coupled with Fourier transform infrared spectrometer (TG-FTIR). The ... ...

Abstract	Thermal behavior and interaction of Low-density polyethylene (LDPE) and lignin with HZSM-5 as catalyst during catalytic co-pyrolysis were analyzed by thermogravimetric analyzer coupled with Fourier transform infrared spectrometer (TG-FTIR). The synergistic effect of lignin and hydrogen-rich LDPE decreased the starting temperature of pyrolysis and accelerated the pyrolysis rate. Kinetic analysis based on the Coats-Redfern method showed that HZSM-5 catalysis significantly decreased the reaction’s activation energy. FTIR results also indicated that the composition of pyrolysis products shifted to more alkane and aromatics by co-feeding the lignin with LDPE and catalyst HZSM-5.
Keywords	Fourier transform infrared spectroscopy ; activation energy ; alkanes ; aromatic compounds ; catalysts ; catalytic activity ; kinetics ; lignin ; polyethylene ; pyrolysis ; synergism ; temperature ; thermal properties ; thermogravimetry
Language	English
Dates of publication	2021-09
Publishing place	Elsevier B.V.
Document type	Article
ISSN	0165-2370
DOI	10.1016/j.jaap.2021.105267
Database	NAL-Catalogue (AGRICOLA)

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Article: Towards Consistent Soil Moisture Records from China’s FengYun-3 Microwave Observations

Wang, Guojie / Ma, Xiaowen / Hagan, Daniel Fiifi Tawia / Schalie, Robin van der / Kattel, Giri / Ullah, Waheed / Tao, Liangliang / Miao, Lijuan / Liu, Yi

Remote Sensing. 2022 Mar. 02, v. 14, no. 5

2022

Abstract: Soil moisture plays an essential role in the land-atmosphere interface. It has become necessary to develop quality large-scale soil moisture data from satellite observations for relevant applications in climate, hydrology, agriculture, etc. Specifically, ...

Abstract	Soil moisture plays an essential role in the land-atmosphere interface. It has become necessary to develop quality large-scale soil moisture data from satellite observations for relevant applications in climate, hydrology, agriculture, etc. Specifically, microwave-based observations provide more consistent land surface records because they are unhindered by cloud conditions. The recent microwave radiometers onboard FY-3B, FY-3C and FY-3D satellites launched by China’s Meteorological Administration (CMA) extend the number of available microwave observations, covering late 2011 up until the present. These microwave observations have the potential to provide consistent global soil moisture records to date, filling the data gaps where soil moisture estimates are missing in the existing records. Along these lines, we studied the FY-3C to understand its added value due to its unique time of observation in a day (ascending: 22:15, descending: 10:15) absent from the existing satellite soil moisture records. Here, we used the triple collocation technique to optimize a benchmark retrieval model of land surface temperature (LST) tailored to the observation time of FY3C, by evaluating various soil moisture scenarios obtained with different bias-imposed LSTs from 2014 to 2016. The globally optimized LST was used as an input for the land parameter retrieval model (LPRM) algorithm to obtain optimized global soil moisture estimates. The obtained FY-3C soil moisture observations were evaluated with global in situ and reanalysis datasets relative to FY3B soil moisture products to understand their differences and consistencies. We found that the RMSEs of their anomalies were mostly concentrated between 0.05 and 0.15 m³ m⁻³, and correlation coefficients were between 0.4 and 0.7. The results showed that the FY-3C ascending data could better capture soil moisture dynamics than the FY-3B estimates. Both products were found to consistently complement the skill of each other over space and time globally. Finally, a linear combination approach that maximizes temporal correlations merged the ascending and descending soil moisture observations separately. The results indicated that superior soil moisture estimates are obtained from the combined product, which provides more reliable global soil moisture records both day and night. Therefore, this study aims to show that there is merit to the combined usage of the two FY-3 products, which will be extended to the FY-3D, to fill the gap in existing long-term global satellite soil moisture records.
Keywords	algorithms ; climate ; data collection ; models ; satellites ; soil water ; space and time ; surface temperature ; China
Language	English
Dates of publication	2022-0302
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14051225
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Mesenchymal Stem Cells with eNOS Over-Expression Enhance Cardiac Repair in Rats with Myocardial Infarction.

Chen, Leilei / Zhang, Yuan / Tao, Liangliang / Yang, Zhijian / Wang, Liansheng

Cardiovascular drugs and therapy

2017 Volume 31, Issue 1, Page(s) 9–18

Abstract: Purpose: Transplantation of mesenchymal stem cells (MSCs) is a promising therapeutic option for patients with acute myocardial infarction.: Methods: We show here that the ectopic overexpression of endothelial nitric oxide synthases (eNOS), an ... ...

Abstract	Purpose: Transplantation of mesenchymal stem cells (MSCs) is a promising therapeutic option for patients with acute myocardial infarction. Methods: We show here that the ectopic overexpression of endothelial nitric oxide synthases (eNOS), an endothelial form of NOS, could enhance the ability of MSCs in treating ischemic heart damage after the occlusion of the coronary artery. Results: Adenoviral delivery of human eNOS gene into mouse bone marrow-derived MSCs (BM-MSCs) conferred resistance to oxygen glucose deprivation (OGD)-induced cell death in vitro, and elevated the bioavailability of nitric oxide when injected into the myocardium in vivo. In a rat model of acute myocardial infarction, the transplantation of eNOS-overexpressing BM-MSCs significantly reduced myocardial infarct size, corrected hemodynamic parameters and increased capillary density. We also found that the synergistic effects were consistently better than either treatment alone. Conclusions: These findings reveal a positive role of elevated eNOS expression in cardiac repair, and suggest the combination of eNOS and MSC transplant therapy as a potential approach for treating myocardial infarction.
MeSH term(s)	Adenoviridae/genetics ; Animals ; Capillaries/enzymology ; Capillaries/physiopathology ; Cells, Cultured ; Disease Models, Animal ; Enzyme Induction ; Genetic Therapy/methods ; Genetic Vectors ; Genotype ; Hemodynamics ; Male ; Mesenchymal Stem Cell Transplantation ; Mesenchymal Stromal Cells/enzymology ; Mice, Inbred C57BL ; Myocardial Infarction/enzymology ; Myocardial Infarction/genetics ; Myocardial Infarction/physiopathology ; Myocardial Infarction/therapy ; Myocardium/enzymology ; Myocardium/pathology ; Neovascularization, Physiologic ; Nitric Oxide/metabolism ; Nitric Oxide Synthase Type III/biosynthesis ; Nitric Oxide Synthase Type III/genetics ; Phenotype ; Rats ; Regeneration ; Transduction, Genetic ; Transfection
Chemical Substances	Nitric Oxide (31C4KY9ESH) ; NOS3 protein, human (EC 1.14.13.39) ; Nitric Oxide Synthase Type III (EC 1.14.13.39)
Language	English
Publishing date	2017-02
Publishing country	United States
Document type	Journal Article
ZDB-ID	639068-7
ISSN	1573-7241 ; 0920-3206
ISSN (online)	1573-7241
ISSN	0920-3206
DOI	10.1007/s10557-016-6704-z
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: An Effective Model to Retrieve Soil Moisture from L- and C-Band SAR Data

Tao, Liangliang / Jing Li / Xi Chen / Qingkong Cai / Yunfei Zhang

Journal of the Indian Society of Remote Sensing. 2017 Aug., v. 45, no. 4

2017

Abstract: This study investigated an appropriate method for soil moisture retrieval from radar images and coincident ground measurements acquired over bare soil and sparsely vegetated regions. The adopted approach based on a single scattering integral equation ... ...

Abstract	This study investigated an appropriate method for soil moisture retrieval from radar images and coincident ground measurements acquired over bare soil and sparsely vegetated regions. The adopted approach based on a single scattering integral equation method (IEM) was developed to establish the relationship between backscatter coefficient and surface soil parameters including volumetric soil moisture content and surface roughness. The performance of IEM in 0â7.6Â cm is better than that in 0â20Â cm. Moreover, IEM can simulate correctly the backscatter coefficients only for the root mean square (RMS) height sÂ <Â 1.5Â cm at C-band and sÂ <Â 2.5Â cm at L-band by using an exponential correlation function and for sÂ >Â 1.5Â cm at C-band and sÂ >Â 2.5Â cm at L-band by using Gaussian function. However, due to the difficulties involved in the parameterization of soil surface roughness, the estimated accuracy is not satisfactory for the inversion of IEM. This paper used a combined roughness parameter and Fresnel reflection coefficient to develop an empirical model. Simulations were performed to support experimental results and to highlight soil moisture content and surface roughness effects in different polarizations. Results showed that a good agreement was found between the IEM simulations and the SAR measurements over a wide range of soil moisture and surface roughness characteristics. The model had a significant operational advantage in soil moisture retrieval. The correlation coefficients were 77.03Â % at L-band and 81.45Â % at C-band with the RMSEs of 0.515 and 0.4996Â dB, respectively. Additionally, this work offered insight into the required application accuracy of soil moisture retrieval at a large area of arid regions.
Keywords	arid zones ; equations ; models ; radar ; remote sensing ; roughness ; soil water ; soil water content ; surface roughness
Language	English
Dates of publication	2017-08
Size	p. 621-629.
Publishing place	Springer India
Document type	Article
ZDB-ID	2439566-3
ISSN	0974-3006 ; 0255-660X
ISSN (online)	0974-3006
ISSN	0255-660X
DOI	10.1007/s12524-016-0626-x
Database	NAL-Catalogue (AGRICOLA)

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