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Article ; Online: Study on Preparation and Properties of High-Strength Nano-Ceramic Coating on the Surface of Steel Structure Connectors

Hui Wang

Advances in Multimedia, Vol

2022 Volume 2022

Abstract: In this paper, the preparation process of high-strength nano-ceramic coating on the surface of steel structure connectors is analyzed. By observing the surface morphology and internal defects of the ceramic coating, this paper analyzes the coating ... ...

Abstract	In this paper, the preparation process of high-strength nano-ceramic coating on the surface of steel structure connectors is analyzed. By observing the surface morphology and internal defects of the ceramic coating, this paper analyzes the coating defects in combination with the coating deposition process. Moreover, this paper uses XRD to analyze the phase transition of the ceramic coating before and after spraying and tests the toughness of the coating, the adhesion between the coating and the reinforcement matrix, and the adhesion between the ceramic coating and the concrete. In addition, this paper studies its performance in combination with test research. The test results verify that the high-strength nano-ceramic coating on the surface of the steel structure connector has good performance.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Analyzing Neck Circumference as a Tool for Evaluating Overweight and Obesity in Chinese Adolescents

Hui Wang

Journal of Healthcare Engineering, Vol

2021 Volume 2021

Abstract: Overweight and obesity at an early age are important criteria for predicting chronic diseases. Each anthropometric method available to assess obesity has its limitations. Recently, neck circumference (NC) has received greater attention as a new ... ...

Abstract	Overweight and obesity at an early age are important criteria for predicting chronic diseases. Each anthropometric method available to assess obesity has its limitations. Recently, neck circumference (NC) has received greater attention as a new evaluation index. This study aimed to investigate the relationship between NC and overweight in Chinese Yi adolescents. A total of 647 Chinese Yi male and female students, aged 13–18 years, were randomly selected from a junior high school and a senior middle school in Leshan, Sichuan Province of China. The measurement indexes included height, weight, waist circumference (WC), and NC, and clinical information was collected by trained physicians. The neck cutoff values were determined through the receiver operating characteristic (ROC) curve and the area under the curve (AUC). The correlation among NC, body mass index (BMI), and WC was determined by Pearson’s correlation coefficient. The ROC analysis revealed that the AUC values were 0.79–0.95 for boys and 0.83–0.91 for girls. The correlation among NC, BMI, and WC in obese boys and girls was higher than 0.70 in both genders. In addition, the NC cutoff values of high BMI ranged from 31.0 cm to 36.1 cm for boys and 31.2 cm to 34.5 cm for girls, respectively. There was a significant positive correlation between NC and obesity in Chinese Yi adolescents. The NC can be used as an additional index to predict the obesity of Chinese Yi adolescents.
Keywords	Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
Subject code	796
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Neural Network-Oriented Big Data Model for Yoga Movement Recognition

Hui Wang

Computational Intelligence and Neuroscience, Vol

2021 Volume 2021

Abstract: The use of computer vision for target detection and recognition has been an interesting and challenging area of research for the past three decades. Professional athletes and sports enthusiasts in general can be trained with appropriate systems for ... ...

Abstract	The use of computer vision for target detection and recognition has been an interesting and challenging area of research for the past three decades. Professional athletes and sports enthusiasts in general can be trained with appropriate systems for corrective training and assistive training. Such a need has motivated researchers to combine artificial intelligence with the field of sports to conduct research. In this paper, we propose a Mask Region-Convolutional Neural Network (MR-CNN)- based method for yoga movement recognition based on the image task of yoga movement recognition. The improved MR-CNN model is based on the framework and structure of the region-convolutional network, which proposes a certain number of candidate regions for the image by feature extraction and classifies them, then outputs these regions as detected bounding boxes, and does mask prediction for the candidate regions using segmentation branches. The improved MR-CNN model uses an improved deep residual network as the backbone network for feature extraction, bilinear interpolation of the extracted candidate regions using Region of Interest (RoI) Align, followed by target classification and detection, and segmentation of the image using the segmentation branch. The model improves the convolution part in the segmentation branch by replacing the original standard convolution with a depth-separable convolution to improve the network efficiency. Experimentally constructed polygon-labeled datasets are simulated using the algorithm. The deepening of the network and the use of depth-separable network improve the accuracy of detection while maintaining the reliability of the network and validate the effectiveness of the improved MR-CNN.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	006
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Regional assessment of human-caused ecological risk in the Poyang Lake Eco-economic Zone using production-living-ecology analysis.

Hui Wang

PLoS ONE, Vol 16, Iss 2, p e

2021 Volume 0246749

Abstract: In this study, based on the regional land-use risk space division (regional ecological risk source/receptor space identification) using production-living-ecology analysis, three spatial function indexes, i.e., production, living, and ecology function ... ...

Abstract	In this study, based on the regional land-use risk space division (regional ecological risk source/receptor space identification) using production-living-ecology analysis, three spatial function indexes, i.e., production, living, and ecology function indexes, were proposed for regional ecological risk assessment (RERA) with respect to human disturbance. The first two indexes can be regarded as regional ecological risk source indexes, whereas the final index can be regarded as a regional ecological risk receptor index. Using an artificial assignment method based on the land-use types and Defense Meteorological Program Operational Line-Scan System (DMSP/OLS) nighttime light intensity data, these three spatial function indexes were effectively manifested. By incorporating these indexes with eco-environmental vulnerability proxies, an RERA framework was established and applied in the Poyang Lake Eco-economic Zone (PLEZ), which is an ecological-protection and economic-development coordination-oriented region in China. The results suggest that (1) the DMSP/OLS nighttime light intensity data correlated well with the spatial distribution of regional urban/town areas; consequently, it was reasonable to use this dataset for representing regional production-living function space (urban/town area). (2) Overall, the forestlands and winter waterbodies of Poyang Lake were in the high-risk grade, and so did the Nanchang City construction land area; in contrast, the final risk levels of winter wetlands and croplands were relatively low. (3) Owing to the highest human disturbance (including both production and consumption human activities) and eco-environmental vulnerability level, urban/town areas such as Nanchang City had the highest final risk grade. (4) The low, medium, high, and very high-risk grades accounted for 21.22%, 39.53%, 36.31%, and 2.94% of the region, respectively. I believe that the proposed land use function indexes will be helpful in conducting human-caused RERA research in the future. Furthermore, the ...
Keywords	Medicine ; R ; Science ; Q
Subject code	910
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Why does excessively exquisite packaging hinder consumers to buy circular products? a perspective of signaling theory

Chiang-Hui Wang

Frontiers in Environmental Science, Vol

2023 Volume 11

Keywords	excessively exquisite packaging ; greenwashing perception ; green confusion ; willingness to accept circular products ; sustainability ; Environmental sciences ; GE1-350
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A multi-scale contextual attention network for remote sensing visual question answering

Jiangfan Feng / Hui Wang

International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103641- (2024)

2024

Abstract: Remote sensing visual question answering (RSVQA) is a user-friendly method used for analyzing remote sensing images (RSIs) in various tasks. However, current methods often overlook geospatial objects, which possess a multi-scale representation and ... ...

Abstract	Remote sensing visual question answering (RSVQA) is a user-friendly method used for analyzing remote sensing images (RSIs) in various tasks. However, current methods often overlook geospatial objects, which possess a multi-scale representation and require contextual information. Furthermore, limited research has been conducted on modeling and reasoning the long-distance dependencies between entities, resulting in one-sided and inaccurate answer predictions. To overcome these limitations, we propose the Scale-Aware Multi-level Feature Pyramid Network (SAMFPN), which integrates contextual and multi-scale information using a Feature Pyramid Network (FPN) and Co-Attention mechanisms. The SAMFPN module incorporates a multi-level FPN to capture both global and local contextual information. Additionally, it introduces a Visual-Question Collaboration Fusion (VQCF) module that simultaneously embeds and learns visual and textual information. Our experimental results demonstrate the superior accuracy and robustness of our proposed model compared to existing models. These outcomes indicate that SAMFPN effectively captures multi-scale contextual information, making it a reliable solution for RSVQA tasks.
Keywords	Remote sensing ; Visual question answering (VQA) ; Cross-modal ; Attention ; Multi-scales ; 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: L.O.V.E.R.R.S.: a conceptual framework to shape your purpose and a life of fulfilment.

Quaranta, Alessandro / Hui, Wang L

Minerva dental and oral science

2024

Language	English
Publishing date	2024-03-18
Publishing country	Italy
Document type	Journal Article
ZDB-ID	3062693-6
ISSN	2724-6337
ISSN (online)	2724-6337
DOI	10.23736/S2724-6329.23.04904-5
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Clinical effect of ambroxol hydrochloride combined with rehabilitation training on COPD and its effect on pulmonary function

Hui Wang

Journal of Hainan Medical University, Vol 26, Iss 5, Pp 21-

2020 Volume 24

Abstract: Objective: To explore the clinical effect of ambroxol hydrochloride combined with rehabilitation training on COPD and its effect on pulmonary function. Methods: 92 patients with COPD from May 2017 to may 2019 were randomly divided into control group (n = ...

Abstract	Objective: To explore the clinical effect of ambroxol hydrochloride combined with rehabilitation training on COPD and its effect on pulmonary function. Methods: 92 patients with COPD from May 2017 to may 2019 were randomly divided into control group (n = 46) and observation group (n = 46). The control group was treated with oxygen inhalation, expectorant, antispasmodic, anti infection and so on. The observation group was treated with ambroxol hydrochloride combined with rehabilitation training on this basis. Blood gas, lung function and inflammatory factors were compared before and after treatment. Results: the levels of SaO2 and PaO2 in the two groups were significantly higher than those before treatment (P There was significant difference between the two groups (P < 0.05-0.01). Besides, the level of lung function related indexes in the observation group was significantly higher than that in the control group (P < 0.05). Conclusion: ambroxol hydrochloride combined with rehabilitation training has a significant clinical effect on COPD, which can effectively improve the blood gas index and reduce the level of blood gas inflammatory factors, thus affecting the lung function of COPD patients.
Keywords	copd ; ambroxol hydrochloride ; rehabilitation training ; pulmonary function ; Medicine ; R
Subject code	610
Language	English
Publishing date	2020-03-01T00:00:00Z
Publisher	Editorial Board of Journal of Hainan Medical University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An Empirical Study on the Impact of Chinese OFDI on the Global Value Chain Positions of Countries Along the Belt and Road and Threshold Effects

Hui Wang / Xin Zhong

SAGE Open, Vol

2023 Volume 13

Abstract: In line with previous studies of the relationship between foreign direct investment (FDI) and global value chains (GVCs), this work uses national panel data of 31 countries along the Belt and Road (B&R countries) from 2010 to 2017 to study the impact of ... ...

Abstract	In line with previous studies of the relationship between foreign direct investment (FDI) and global value chains (GVCs), this work uses national panel data of 31 countries along the Belt and Road (B&R countries) from 2010 to 2017 to study the impact of Chinese outside foreign direct investment (OFDI) on the GVC positions of B&R countries and examines the threshold effects of infrastructure level and institutional quality on that impact. The results show that the improvement of B&R countries’ GVC positions is related to Chinese OFDI, and Chinese OFDI has significantly positive dynamic effect on improving the GVC positions of B&R countries. Infrastructure level and institutional quality have double threshold effects upon the effect of Chinese OFDI on improving the GVC positions of B&R countries. When infrastructure level successively exceeds the two thresholds, the effect of Chinese OFDI on improving the GVC positions of B&R countries gradually increases, and when institutional quality successively exceeds the two thresholds, the effect of Chinese OFDI on improving the GVC positions of B&R countries gradually decreases. Our study proposes that under the Belt and Road Initiative, to improve the GVC positions of B&R countries, B&R countries should further strengthen their cooperation with China and continue to attract Chinese OFDI. Moreover, to better play the role of Chinese OFDI in enhancing the GVC positions of B&R countries, China should further strengthen the infrastructure connectivity construction with B&R countries and pay attention to the institutional quality of B&R countries when investing in them.
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Subject code	306
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Association between the healthy eating index and anxiety among Chinese elderly

Qiuzi Sun / Hui Wang / Huachun Zhang / Fan Zhang

Preventive Medicine Reports, Vol 37, Iss , Pp 102576- (2024)

A population-based cross-sectional study

2024

Abstract: Introduction: Given that few studies have examined the relationship between healthy eating and anxiety in older adults, this study aimed to assess the relationship between the healthy eating index and anxiety in an older adult population using the ... ...

Abstract	Introduction: Given that few studies have examined the relationship between healthy eating and anxiety in older adults, this study aimed to assess the relationship between the healthy eating index and anxiety in an older adult population using the Chinese Longevity Health Survey (CLHLS). Methods: A national cross-sectional study from the CLHLS in 2018. The healthy eating index was constructed based on the frequency of intake of 13 dietary variables. Anxiety was assessed by the Generalized Anxiety Disorder scale. We used multivariate binary logistic regression to explore the association between the healthy eating index and anxiety and reported as odds ratio (OR) and 95 % confidence interval (95 % CI). Results: A total of 13,873 older adults were included in the analysis after excluding participants with missing key variables. After adjusting for potential confounders, compared with participants in the lowest quartile of a healthy eating index, those in the second to the fourth quartile group had 4.7 %, 20.7 %, and 28.4 % lower odds of anxiety compared with those in the first quartile, respectively. Restricted cubic spline curves showed that anxiety risk decreased with increasing healthy eating index, and for each unit increase in the healthy eating index, the risk of anxiety in older adults decreased by 2.3 % (OR = 0.977; 95 % CI 0.970–0.985). Discussion: In Chinese older adults, a healthy diet was associated with lower anxiety. Although prospective studies are still needed to confirm these associations in older populations, this result emphasizes the need to focus on dietary diversity in older adults to promote healthy aging.
Keywords	Healthy eating index ; Anxiety ; Elderly ; CLHLS ; Cross-sectional study ; Medicine ; R
Subject code	310 ; 796
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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