16 results on '"Xueting Cao"'
Search Results
2. Image Segmentation Algorithm on Sand Image Based on Improved MRF
- Author
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Xiaobang Wen, Wenjuan Rong, Xueting Cao, Mingzhao Wang, and Chao Wang
- Published
- 2022
3. How accurate are policy document mentions? A first look at the role of altmetrics database
- Author
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Zhenyi Yang, Houqiang Yu, Tingting Xiao, and Xueting Cao
- Subjects
Database ,Computer science ,Data needs ,05 social sciences ,General Social Sciences ,Data provider ,Societal impact of nanotechnology ,Library and Information Sciences ,050905 science studies ,computer.software_genre ,Computer Science Applications ,High complexity ,Data quality ,Transcription error ,Altmetrics ,0509 other social sciences ,050904 information & library sciences ,computer ,Coding (social sciences) - Abstract
Policy document mention is considered to indicate the significance and societal impact of scientific product. However, the accuracy of policy document altmetrics data needs to be evaluated to fully understand its strength and limitation. An in-depth coding analysis was conducted on sample policy documents records of Altmetric.com database. The sample consists of 2079 records from all 79 distinct policy document source platforms tracked by the database. Errors about mentioned publications in the policy documents (type A error) are found in 8% of the records, while errors about either the recorded policy documents or the mentioned publications in the altmetrics database (type B error) are found in 70% of the records. In type B error, policy document link error (5% of the records) could be attributable to the policy document website, transcription error (52% of the records) could be attributable to the third-party bibliographic data provider. These two categories of error are relatively minor and may have limited influence on altmetrics research and practices. False positive policy document mention (13% of the records), however, could be attributable to the Altmetric database and may diminish the validity of research based on the policy document altmetrics data. The underlying reasons remain to be further investigated. Considering the high complexity of extracting mentions of publications from various sources and formats of policy documents as well as its short history, Altmetric database has achieved excellent performance.
- Published
- 2020
4. Underwater Single Image Dehazing Using the Color Space Dimensionality Reduction Prior
- Author
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Yongbin Liu, Shenghui Rong, Xueting Cao, Tengyue Li, and Bo He
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General Computer Science ,Computational complexity theory ,Computer science ,02 engineering and technology ,Color space ,01 natural sciences ,Underwater image dehazing ,010309 optics ,0103 physical sciences ,General Materials Science ,Computer vision ,image enhancement ,Cluster analysis ,Pixel ,business.industry ,Dimensionality reduction ,Visibility (geometry) ,General Engineering ,scattering removal ,021001 nanoscience & nanotechnology ,RGB color space ,Transmission (telecommunications) ,contrast enhancement ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Artificial intelligence ,0210 nano-technology ,business ,lcsh:TK1-9971 - Abstract
Underwater images suffer from low visibility and contrast caused by absorption and scattering, which leads to haze and some further limitations. The existing underwater single image dehazing methods cannot achieve a balance between the performance and computational complexity, and are difficult to produce satisfactory results in the regions with large distance. To overcome these problems, we propose a new underwater single image dehazing method, which includes an improved background light estimation based on the quad-tree subdivision iteration algorithm, and a novel transmission estimation method. For the background light estimation, we introduce a robust score for each region of the image, which can evaluate the region from both smoothness and color. For the transmission estimation, we propose the color space dimensionality reduction prior (CSDRP), which allows conversing an image from the three-dimensional RGB color space to a 2D color space, namely the UV color space. In the UV color space, by clustering the pixels into mounts of haze-lines and carefully setting the haze-free boundary, the transmission map can be figured out and used to produce an excellent dehazed image. Experimental results show that our method has competitive effects compared with mainstream underwater single image dehazing methods.
- Published
- 2020
5. NanoFe3O4 accelerates anoxic biodegradation of 3, 5, 6-trichloro-2-pyridinol
- Author
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Mingzhu Shao, Chen Zhang, Shenghui Wang, Zhifeng Song, Xueting Cao, Zhiwei Lv, and Yang Zhang
- Subjects
Pollutant ,Environmental Engineering ,biology ,Chemistry ,Health, Toxicology and Mutagenesis ,0208 environmental biotechnology ,Public Health, Environmental and Occupational Health ,02 engineering and technology ,General Medicine ,General Chemistry ,010501 environmental sciences ,Biodegradation ,biology.organism_classification ,01 natural sciences ,Pollution ,Anoxic waters ,020801 environmental engineering ,Delftia ,Environmental chemistry ,Reductive dechlorination ,Environmental Chemistry ,Degradation (geology) ,Genus Ochrobactrum ,Bacteria ,0105 earth and related environmental sciences - Abstract
3, 5, 6-trichloro-2-pyridinol (TCP) is a widespread organic pollutant with persistent, mobile and high antimicrobial effects. Here, nanoFe3O4 was firstly introduced into the anoxic biodegradation of TCP. It was found that nanoFe3O4 significantly accelerated TCP biodegradation. The removal rate of TCP (100 mg L−1) increased from 83.03% to 98.74% within 12 h in the presence of nanoFe3O4, and the addition of nanoFe3O4 also promoted the accumulation of CO2. Reductive dechlorination mechanism was involved in anoxic biodegradation of TCP. Molecular approaches further revealed that nanoFe3O4 distinctly induced the shifts of bacterial community. The dominant genus Ochrobactrum was converted to genus Delftia in nanoFe3O4 treatment, and the relative abundance of Delftia increased from 10.26% to 44.62%. Meanwhile, the total relative abundance of bacteria related to TCP dechlorination and degradation significantly increased in the presence of nanoFe3O4. These results indicated that nanoFe3O4 induced the enrichment of TCP-degrading bacteria to promote the anoxic biodegradation of TCP.
- Published
- 2019
6. Exploring country's preference over news mentions to academic papers
- Author
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Houqiang Yu, Longfei Li, Xueting Cao, and Tao Chen
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History ,Polymers and Plastics ,Business and International Management ,Library and Information Sciences ,Industrial and Manufacturing Engineering ,Computer Science Applications - Published
- 2022
7. A Novel β-Glucosidase From
- Author
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Zhenxin, Yan, Xueting, Cao, Xiao, Yang, Shida, Yang, Li, Xu, Xukai, Jiang, and Min, Xiao
- Subjects
rubusoside ,β-glucosidase ,stevioside ,crude steviol glycosides extract ,Chryseobacterium scophthalmum ,Microbiology ,Original Research - Abstract
As a natural sweetening and solubilizing agent, rubusoside has great potential in the application of healthy beverages and pharmaceuticals. However, the direct extraction and purification of rubusoside from raw materials is inefficient. In this work, a novel β-glucosidase (CsBGL) was obtained from Chryseobacterium scophthalmum 1433 through screening of the environmental microorganisms. CsBGL markedly hydrolyzed sophorese (Glcβ1-2Glc) and laminaribiose (Glcβ1-3Glc), but for steviol glycosides, it only hydrolyzed the C-13/C-19-linked sophorese, instead of the C-13/C-19-linked Glcβ1-2[Glcβ1-3]Glc trisaccharide and Glcβ1-monosaccharide. It efficiently hydrolyzed stevioside (240 g/L) to produce rubusoside (99% yield) at 47.5°C for 70 min. Even when using a crude steviol glycosides extract (500 g/L) containing ∼226 g/L stevioside as the substrate, CsBGL could also convert stevioside to rubusoside (99% yield) at 47.5°C for 2 h, in which the rubusoside concentration increased from the initial 42 g/L to the final 222 g/L. These results reveal that CsBGL would be a promising biocatalyst for the industry-scale production of rubusoside from stevioside or/and the crude steviol glycosides extract., Graphical Abstract As a natural sweetening and solubilizing agent, rubusoside has great potential in the application of healthy beverages and pharmaceuticals. A novel β-glucosidase CsBGL obtained here from Chryseobacterium scophthalmum 1433 through screening of the environmental microorganisms could specifically hydrolyze the C-13- or/and C-19-linked sophorese of steviol glycosides, but not the C-13- or/and C-19-linked Glcβ1-2[Glcβ1-3]Glc trisaccharide and Glcβ1-monosaccharide of steviol glycosides, and thus could be a promising biocatalyst for efficient rubusoside production from stevioside.
- Published
- 2021
8. Degradation of 3,5,6-trichloro-2-pyridinol by a microbial consortium in dryland soil with anaerobic incubation
- Author
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Mingzhu Shao, Huiming Huang, Shenghui Wang, Chen Zhang, Xueting Cao, Zhifeng Song, and Zhiwei Lv
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Environmental Engineering ,Pyridones ,Aerobic bacteria ,Microbial Consortia ,Microbial metabolism ,Bioengineering ,010501 environmental sciences ,01 natural sciences ,Microbiology ,03 medical and health sciences ,Environmental Chemistry ,Anaerobiosis ,Soil Microbiology ,0105 earth and related environmental sciences ,0303 health sciences ,biology ,030306 microbiology ,Chemistry ,Biodegradation ,Microbial consortium ,biology.organism_classification ,Pollution ,Biodegradation, Environmental ,Delftia ,Environmental chemistry ,Cupriavidus ,Anaerobic exercise ,Bacteria - Abstract
Biodegradation of 3,5,6-trichloro-2-pyridinol (TCP) in drylands is an important biological process of detoxification. Flooding in drylands can result in the formation of anaerobic habitats. However, little is known about the microbial metabolism of TCP in dryland soil under anaerobic conditions. Here, chlorpyrifos-contaminated dryland soil was incubated to enrich the TCP-degrading microbial consortium under anaerobic conditions. Chloridion and CO2 were released with TCP degradation, and the enrichment cultures of dryland soil could metabolize 97% of TCP (100 mg/L) within 20 h. Both reductive and hydrolysis dechlorination mechanisms were involved in TCP biodegradation under anaerobic conditions. Bacterial taxonomic analysis revealed that the aerobic TCP-degrading bacteria Ochrobactrum and dechlorination bacteria Delftia were the dominant genera. Anaerobic and facultative bacteria; i.e., Bacteroides, Bacillus, and Cupriavidus had lower relative abundances, but they were significantly enriched following treatment with TCP. These results indicate that the enrichment cultures of dryland soil dominated by aerobic bacteria could dechlorinate and degrade TCP under anaerobic conditions.
- Published
- 2019
9. Effect of particle size on the transformation kinetics of flue gas desulfurization gypsum to α-calcium sulfate hemihydrate under hydrothermal conditions
- Author
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Xiaomin Zhang, Qiaoshan Chen, Hailu Fu, Xueting Cao, and Caiyun Jia
- Subjects
Gypsum ,Materials science ,General Chemical Engineering ,Kinetics ,Nucleation ,02 engineering and technology ,Activation energy ,engineering.material ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Flue-gas desulfurization ,chemistry.chemical_compound ,chemistry ,Chemical engineering ,Specific surface area ,engineering ,General Materials Science ,Particle size ,Sulfate ,0210 nano-technology - Abstract
The effect of particle size on the transformation kinetics of flue gas desulfurization (FGD) gypsum to α-calcium sulfate hemihydrate (α-HH) in calcium chloride (CaCl2) solutions was investigated to better guide value-added FGD gypsum use. Gypsum samples from different sources were sieved into several size groups, and their transformation rates were compared. The results showed that using FGD gypsum with a smaller particle size accelerated the transformation to α-HH. The size effect accelerated nucleation kinetics of α-HH rather than its crystal growth rate (that is, the thermodynamic driving force for the transformation changed little with particle size variation). Analysis using a kinetics model revealed that a smaller gypsum particle size lowered the overall activation energy barrier for the transformation. This is because the smaller gypsum particles had a larger relative specific surface area and thus provided more nucleation sites and crystalline defects to promote α-HH nucleation. A smaller particle size of FGD gypsum also gave a higher yield of fine α-HH particles because of the increased incidence of primary and secondary nucleation coupled with attrition. This paper indicates the transformation of FGD gypsum into α-HH could be effectively promoted by regulating FGD gypsum particle size.
- Published
- 2018
10. Underwater Image Dehazing Using The Color Space Dimensionality Reduction Prior
- Author
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Xueting Cao, Shenghui Rong, Bo He, Yongbin Liu, and Tengyue Li
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Pixel ,business.industry ,Plane (geometry) ,Computer science ,Dimensionality reduction ,Visibility (geometry) ,020206 networking & telecommunications ,02 engineering and technology ,Color space ,Computer Science::Computer Vision and Pattern Recognition ,0202 electrical engineering, electronic engineering, information engineering ,RGB color model ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,Adaptive optics ,business ,Image restoration - Abstract
Underwater images suffer from low visibility caused by absorption and scattering, which leads to haze and some further limitations. To overcome these issues, we propose a novel dehaze method based on a universal observation that all pixels of most underwater images tend to distribute nearby a specific plane in RGB space. This observation is named the color space dimensionality reduction prior. By projecting all pixels to this plane, namely the UV color space, the color distribution of these pixels can be reduced from the three-dimensional space (RGB space) to a new two-dimensional space (UV space) without causing any excessive color shift. By carefully setting the haze-free boundary in UV space, we can obtain the image transmission and finally produce an excellent dehazed image. Experimental results show that our method has competitive results compared with mainstream underwater single image dehazing methods.
- Published
- 2020
11. Underwater image enhancement framework and its application on an autonomous underwater vehicle platform
- Author
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Shenghui Rong, Yongbin Liu, Bo He, Tengyue Li, Long Chen, and Xueting Cao
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Exposure ,business.industry ,Computer science ,Image quality ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,General Engineering ,Image processing ,Field of view ,Filter (signal processing) ,Image segmentation ,Atomic and Molecular Physics, and Optics ,Adaptive filter ,Computer vision ,Artificial intelligence ,Underwater ,business - Abstract
Underwater imaging has been increasingly employed in vision-based marine research. However, the inappropriate installation of a light source and the complex underwater environment will result in the uneven illumination and overexposure on the captured images. To address these issues, an underwater image enhancement framework for autonomous underwater vehicles platform is proposed, which consists of underwater light source optimization and illumination nonuniformity correction. The light source optimization method improves the imaging quality by computing an appropriate angle of the light casting. In this way, the center of the field of view is always well lit. In addition, an adaptive filter-based illumination correction algorithm is proposed to solve the uneven illumination caused by the artificial light source. During this process, image block segmentation and the measure of image enhancement index are applied to improve the adaptability and reduce the calculation errors of the filter parameters. A dataset with real underwater images collected under different natural conditions has been built and tested. The experimental results indicate that the proposed method is more adaptive and effective than the typical methods.
- Published
- 2020
12. NanoFe
- Author
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Chen, Zhang, Shenghui, Wang, Zhiwei, Lv, Yang, Zhang, Xueting, Cao, Zhifeng, Song, and Mingzhu, Shao
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Biodegradation, Environmental ,Bacteria ,Herbicides ,Pyridones ,Nanoparticles ,Hypoxia ,Ferric Compounds - Abstract
3, 5, 6-trichloro-2-pyridinol (TCP) is a widespread organic pollutant with persistent, mobile and high antimicrobial effects. Here, nanoFe
- Published
- 2018
13. Analysis and Analog Simulation of the Investors’ Margin Trading Behavior
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Xueting Cao, Allen Yang, and Bo Zhang
- Subjects
050208 finance ,Margin (machine learning) ,0502 economics and business ,05 social sciences ,Economics ,Econometrics ,050207 economics ,Behavioral economics - Published
- 2018
14. Abdominal Obesity Is More Closely Associated With Diabetic Kidney Disease Than General Obesity
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Yue Wang, Xueting Cao, Aipin Zhang, Kun Liao, Richa Goswami, Ping Yang, Ting Luo, Xiaoqiu Xiao, Qingfeng Cheng, Qifu Li, Xiyue Li, Jinbo Hu, and Shumin Yang
- Subjects
Advanced and Specialized Nursing ,medicine.medical_specialty ,Waist ,business.industry ,Endocrinology, Diabetes and Metabolism ,Adipose tissue ,Renal function ,030209 endocrinology & metabolism ,Type 2 diabetes ,030204 cardiovascular system & hematology ,medicine.disease ,Obesity ,Gastroenterology ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,medicine ,medicine.symptom ,business ,Abdominal obesity ,Kidney disease - Abstract
General and abdominal obesity are the major subtypes of obesity. Compared with general obesity, abdominal obesity was considered to be more closely associated with chronic diabetes complications, such as cardiovascular diseases and diabetic retinopathy (1,2). Although the association between abdominal obesity and urinary albumin was reported in previous studies (3–5), whether abdominal obesity is more closely associated with diabetic kidney disease (DKD) than general obesity has not been reported yet. Two studies were carried out to investigate the association of general and abdominal obesity with DKD. Study A was a cross-sectional study. Body composition was assessed using DXA among 1,016 patients with type 2 diabetes (T2D). General obesity parameters, including BMI, total body fat percentage (TBF), and fat mass index (FMI), and abdominal obesity parameters, including waist circumference (WC), waist-to-height ratio (WHtR), and visceral adipose tissue (VAT), were measured. DKD is defined as chronic kidney disease (CKD) stage 3–5 (estimated glomerular filtration rate [eGFR]
- Published
- 2016
15. Associations between abdominal and general obesity and diabetic kidney disease: a cross-sectional study and a prospective study
- Author
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Ping Yang, Shumin Yang, Richa Goswami, Qingfeng Cheng, Jinbo Hu, Ting Luo, Xueting Cao, Kun Liao, Yue Wang, Aipin Zhang, Xiaoqiu Xiao, and Qifu Li
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medicine.medical_specialty ,Waist ,business.industry ,Endocrinology, Diabetes and Metabolism ,Renal function ,Odds ratio ,Type 2 diabetes ,medicine.disease ,Gastroenterology ,Obesity ,Endocrinology ,Internal medicine ,Internal Medicine ,Medicine ,medicine.symptom ,business ,Prospective cohort study ,Abdominal obesity ,Kidney disease - Abstract
Background Compared with general obesity, abdominal obesity has been shown to be more closely correlated to chronic diabetic complications such as cardiovascular disease and diabetic retinopathy. The association between obesity and diabetic kidney disease is unclear. We did two independent studies, one cross-sectional study and one 5 year prospective study, to investigate the association of general and abdominal obesity with diabetic kidney disease. Methods In the cross-sectional study in a hospital in Chongqing, China, body composition was assessed with dual-energy X-ray absorptiometry in 1016 patients with type 2 diabetes. Variables measured to define general obesity were BMI, total body fat percentage, and fat-mass index (ratio of fat mass to height squared). Abdominal obesity variables were waist circumference, waist-to-height ratio, and visceral adipose tissue. Diabetic kidney disease was defined as chronic kidney disease stage 3–5 (estimated glomerular filtration rate [eGFR] 2 ). In the prospective study, 279 patients with type 2 diabetes without diabetic kidney disease at baseline were followed up for 5 years after initial assessment in a community centre. BMI, waist circumference, waist-to-height ratio, and waist-to-hip ratio were used as indicators of obesity type in the prospective study. Obesity-related variables were split into low, median, and high tertiles and patients were stratified by values accordingly for both studies. Ethical approval was granted by the Ethics Committee of the First Affiliated Hospital of Chongqing Medical University. Informed consent was provided by all participants. Multivariate logistic analysis was done to determine whether parameters of obesity could be risk factors for diabetic kidney disease and adjustments made for confounding factors. The odds ratios (ORs) of general obesity parameters and abdominal obesity parameters were calculated, with reference to the lowest tertile of those parameters; OR was 1. Findings In the cross-sectional study, 470 patients had stage 1 chronic kidney disease, 374 patients had stage 2 disease, and 172 patients had stages 3–5 disease. Participants with higher BMI (24·67 kg/m 2 [SD 3·33] in those with stage 1 chronic kidney disease vs 24·78 kg/m 2 [3·14] in those with stage 2 chronic kidney disease vs 25·40 kg/m 2 [3·18] in those with stages 3–5 chronic kidney disease; p=0·040), total body fat percentage (29·21% [6·17] vs 29·57% [6·16] vs 30·74% [6·18]; p=0·024), fat-mass index (7·31 kg/m 2 [2·21] vs 7·43 kg/m 2 [2·21] vs 7·89 kg/m 2 [2·14]; p=0·014), waist circumference (92·71 cm [9·31] vs 93·98 cm [9·08] vs 95·52 cm [8·88]; p=0·047), waist-to-height ratio (0·57 [IQR 0·54–0·61] vs 0·58 [0·55–0·62] vs 0·61 [0·56–0·65]; p 2 [43·34] vs 121·67 cm 2 [43·10] vs 133·31 cm 2 [45·01]; p=0·0022) were more likely to have a lower eGFR, compared with those with lower values. Logistic regression analyses showed that variables of general obesity were associated with a risk of diabetic kidney disease (in the median vs high tertiles, for BMI p trend =0·0371; for total body fat percentage p trend =0·044; for fat-mass index p trend =0·0053). However, there was no correlation when visceral adipose tissue was adjusted (in the median vs high tertiles, for BMI p trend =0·18; for total body fat percentage p trend =0·66; for fat-mass index p trend =0·26). In the prospective study, 41 patients developed diabetic kidney disease after 6 years follow-up. No association was noted between BMI and risk of diabetic kidney disease or in the crude or adjusted models (in the crude model 1·11 [0·49–2·50] in the median tertile vs 1·10 [0·48–2·47] in the high tertile, p=0·81; in the waist-to-height ratio-adjusted model 0·43 [0·26–1·18] vs 0·76 [0·32–1·80], p=0·24; in the multivariable model 0·44 [0·13–5·54] vs 1·33 [0·25–6·97], p=0·40). Abdominal obesity variables were associated with risk of diabetic kidney disease after adjustment for BMI (for waist circumference 1·39 [1·10–8·03] in the median tertile vs 2·59 [1·45–9·31] in the high tertile, p=0·022; for waist-to-hip ratio 2·63 [0·71–5·79] vs 5·16 [1·38–9·31], p=0·015; for waist-to-height ratio 3·35 [0·86–7·08] vs 5·96 [1·51–13·06], p=0·03). The associations between the risk of diabetic kidney disease and waist circumference, waist-to-hip ratio, waist-to-height ratio were the same after adjustment for other confounders. Interpretation Abdominal obesity is more closely associated with the risk of diabetic kidney disease than general obesity in China. Funding National Key Clinical Specialties Construction Program of China, the National Natural Science Foundation of China and The Fundamental Science and Advanced Technology Research of Chongqing.
- Published
- 2016
16. A Rough-fuzzy C-means using information entropy for discretized violent crimes data
- Author
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Ajith Abraham, Xueting Cao, Chao Yang, Yeqing Sun, and Shiyuan Che
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Discretization ,Principle of maximum entropy ,media_common.quotation_subject ,Centroid ,Impartiality ,computer.software_genre ,Fuzzy logic ,Cross entropy ,Data mining ,Rough set ,Cluster analysis ,computer ,media_common ,Mathematics - Abstract
This paper presents the factor clustering analysis for violent crimes. The efficiency of Rough-fuzzy C-means algorithm is affected by the numbers of clusters, and not all centroids are beneficial. The analyzing of violent crime data does not need human intervention for impartiality. The information entropy is a helpful tool for resolving those issues. In this paper, a novel discrete Rough-fuzzy C-means based on information entropy algorithm (DRFCMI) is proposed, which can obtain typical conclusions objectively. Experimental results illustrate that our proposed method is efficient.
- Published
- 2013
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