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Article ; Online: A Study on the Impact of Consumer Ethics on Apparel Purchasing Behavior

Zhao Hongshan

SHS Web of Conferences, Vol 96, p

2021 Volume 02005

Abstract: As the Chinese economy grows fast and the Chinese residents' spending power increases, "ethical consumers" have been lavished with increasing attention. In fact, consumption has become a decision-making process closely tied to ethics or morality. This ... ...

Abstract	As the Chinese economy grows fast and the Chinese residents' spending power increases, "ethical consumers" have been lavished with increasing attention. In fact, consumption has become a decision-making process closely tied to ethics or morality. This article describes consumers' basic cognition of environmental issues and ethical apparel in a quantitative manner. The research covers mainly the following topics: consumers' understanding and recognition of ethical apparels, factors bearing on the behavior of purchasing ethical apparels, surveys of the intentions of consumers to purchase ethical apparels as well as the personal information of survey respondents. The purpose is to provide forward-looking bases and reference for apparel enterprises to plan ethical marketing.
Keywords	consumption ; consumer ethics ; consumer ethical behavior ; apparel ethical marketing ; Social Sciences ; H
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Secondary Phase Precipitation in Fe-22Mn-9Al-0.6C Low-Density Steel during Continuous Cooling Process.

Zhou, Yihao / Man, Tinghui / Wang, Jun / Zhao, Hongshan / Dong, Han

Materials (Basel, Switzerland)

2024 Volume 17, Issue 3

Abstract: Secondary phase precipitation in Fe-22Mn-9Al-0.6C low-density steel was investigated during a continuous cooling process with different cooling rates through a DIL805A thermal expansion dilatometer, and the changes in microstructures and hardness by ... ...

Abstract	Secondary phase precipitation in Fe-22Mn-9Al-0.6C low-density steel was investigated during a continuous cooling process with different cooling rates through a DIL805A thermal expansion dilatometer, and the changes in microstructures and hardness by different cooling rates were discussed. The results showed that the matrix of the Fe-22Mn-9Al-0.6C was composed of austenite and δ-ferrite; moreover, the secondary phases included κ-carbide, β-Mn and DO
Language	English
Publishing date	2024-01-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma17030631
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: mmu-miR-185 regulates osteoclasts differentiation and migration by targeting Btk.

He, Dan / Jiao, Yueying / Xu, Jian / Luo, Junjie / Cui, Yaqi / Han, Xiabing / Zhao, Hongshan

The journal of gene medicine

2024 Volume 26, Issue 5, Page(s) e3687

Abstract: Background: Bones undergo a constant remodeling, a process involving osteoclast-mediated bone resorption and osteoblast-mediated bone formation, crucial for maintaining healthy bone mass. We previously observed that miR-185 depletion may promote bone ... ...

Abstract	Background: Bones undergo a constant remodeling, a process involving osteoclast-mediated bone resorption and osteoblast-mediated bone formation, crucial for maintaining healthy bone mass. We previously observed that miR-185 depletion may promote bone formation by regulating Bgn expression and the BMP/Smad signaling pathway. However, the effects of miR-185-5p on the osteoclasts and bone remodeling have not been elucidated, warranting further exploration. Methods: Tartrate-resistant acid phosphatase staining was utilized to assess the differentiation ability of bone marrow mononuclear macrophages (BMMs) from mmu-miR-185 gene knockout (KO) mice and wild-type (WT) mice. A reverse transcriptase-quantitative PCR was conducted to compare differences in miR-185-5p and osteoclast marker molecules, including Trap, Dcstamp, Ctsk and Nfatc1, between the KO group and WT group BMMs. Western blot analysis was employed to observe the expression of osteoclast marker molecules. A cell-counting kit-8 was used to analyze cell proliferation ability. Transwell experiments were conducted to detect cell migration. Dual-luciferase reporter assays were employed to confirm whether Btk is a downstream target gene of miR-185-5p. Results: miR-185 depletion promoted osteoclast differentiation in bone marrow-derived monocytes/macrophages. Overexpression of miR-185-5p in RAW264.7 cells inhibited differentiation and migration of osteoclasts. Furthermore, Btk was identified as a downstream target gene of miR-185-5p, suggesting that miR-185-5p may inhibit osteoclast differentiation and migration by targeting Btk. Conclusions: miR-185 regulates osteoclasts differentiation, with overexpression of miR-185-5p inhibiting osteoclast differentiation and migration in vitro. Additionally, miR-185-5p may modulate osteoclastic differentiation and migration by regulating Btk expression.
MeSH term(s)	Animals ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Osteoclasts/metabolism ; Osteoclasts/cytology ; Cell Differentiation/genetics ; Cell Movement/genetics ; Mice ; Agammaglobulinaemia Tyrosine Kinase/metabolism ; Agammaglobulinaemia Tyrosine Kinase/genetics ; Mice, Knockout ; Cell Proliferation/genetics ; Gene Expression Regulation ; Macrophages/metabolism ; Signal Transduction ; Osteogenesis/genetics
Chemical Substances	MicroRNAs ; Agammaglobulinaemia Tyrosine Kinase (EC 2.7.10.2) ; Mirn185 microRNA, mouse ; Btk protein, mouse (EC 2.7.10.2)
Language	English
Publishing date	2024-04-22
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1458024-x
ISSN	1521-2254 ; 1099-498X
ISSN (online)	1521-2254
ISSN	1099-498X
DOI	10.1002/jgm.3687
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Regulation Law of Tempering Cooling Rate on Toughness of Medium-Carbon Medium-Alloy Steel.

Yang, Chao / Xu, Tingting / Zhao, Hongshan / Hu, Chundong / Dong, Han

Materials (Basel, Switzerland)

2023 Volume 17, Issue 1

Abstract: Temper embrittlement is a major challenge encountered during the heat treatment of high-performance steels for large forgings. This study investigates the microstructural evolution and mechanical properties of Cr-Ni-Mo-V thick-walled steel, designed for ... ...

Abstract	Temper embrittlement is a major challenge encountered during the heat treatment of high-performance steels for large forgings. This study investigates the microstructural evolution and mechanical properties of Cr-Ni-Mo-V thick-walled steel, designed for large forgings with a tensile strength of 1500 MPa, under different tempering cooling rates. Optical microscopy (OM), scanning electron microscopy (SEM), and electron backscatter diffraction (EBSD) were employed to analyze the microstructural features. The results demonstrate that the embrittlement occurring during air cooling after tempering is attributed to the concentration of impurities near Fe
Language	English
Publishing date	2023-12-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma17010205
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Improving Neural Network Detection Accuracy of Electric Power Bushings in Infrared Images by Hough Transform.

Zhao, Hongshan / Zhang, Zeyan

Sensors (Basel, Switzerland)

2020 Volume 20, Issue 10

Abstract: To improve the neural network detection accuracy of the electric power bushings in infrared images, a modified algorithm based on the You Only Look Once version 2 (YOLOv2) network is proposed to achieve better recognition results. Specifically, YOLOv2 ... ...

Abstract	To improve the neural network detection accuracy of the electric power bushings in infrared images, a modified algorithm based on the You Only Look Once version 2 (YOLOv2) network is proposed to achieve better recognition results. Specifically, YOLOv2 corresponds to a convolutional neural network (CNN), although its rotation invariance is poor, and some bounding boxes (BBs) exhibit certain deviations. To solve this problem, the standard Hough transform and image rotation are utilized to determine the optimal recognition angle for target detection, such that an optimal recognition effect of YOLOv2 on inclined objects (for example, bushing) is achieved. With respect to the problem that the BB is biased, the shape feature of the bushing is extracted by the Gap statistic algorithm, based on K-means clustering; thereafter, the sliding window (SW) is utilized to determine the optimal recognition area. Experimental verification indicates that the proposed rotating image method can improve the recognition effect, and the SW can further modify the BB. The accuracy of target detection increases to 97.33%, and the recall increases to 95%.
Language	English
Publishing date	2020-05-21
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s20102931
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Dissolution Behavior of Eutectic Carbides in Medium-Alloy Steels for Heavy Forgings.

Ji, Yu / Xu, Tingting / Zhao, Caiyan / Chen, Guangyao / Zhao, Hongshan / Hu, Chundong / Dong, Han

Materials (Basel, Switzerland)

2023 Volume 16, Issue 20

Abstract: In this study, we investigate the dissolution behavior of eutectic carbides in heavy forgings. High-temperature diffusion treatment was conducted on 35Cr3Ni3MoVW2 (MoVW2) and 35Cr2Ni3MoV (MoV) steels at 1230 °C for a duration ranging from 0 to 100 h. The ...

Abstract	In this study, we investigate the dissolution behavior of eutectic carbides in heavy forgings. High-temperature diffusion treatment was conducted on 35Cr3Ni3MoVW2 (MoVW2) and 35Cr2Ni3MoV (MoV) steels at 1230 °C for a duration ranging from 0 to 100 h. The dissolution of eutectic carbides and its effects on the microstructure and hardness of the steels were characterized and analyzed via SEM+EBSD, ImageJ, and Thermo-Calc. The results show that the coarse eutectic carbides in both steels gradually dissolved. The distribution and morphology tend to be uniform and spherical, respectively. For holding 50 h, the hardness of both steels significantly exhibited an increasing trend, and it was attributed to the combined effects of solid solution strengthening. Thermodynamic calculations indicated that the higher W content in MoVW2 steel promoted the precipitation of M
Language	English
Publishing date	2023-10-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma16206763
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Research on Blind Super-Resolution Technology for Infrared Images of Power Equipment Based on Compressed Sensing Theory.

Wang, Yan / Wang, Lingjie / Liu, Bingcong / Zhao, Hongshan

Sensors (Basel, Switzerland)

2021 Volume 21, Issue 12

Abstract: Infrared images of power equipment play an important role in power equipment status monitoring and fault identification. Aiming to resolve the problems of low resolution and insufficient clarity in the application of infrared images, we propose a blind ... ...

Abstract	Infrared images of power equipment play an important role in power equipment status monitoring and fault identification. Aiming to resolve the problems of low resolution and insufficient clarity in the application of infrared images, we propose a blind super-resolution algorithm based on the theory of compressed sensing. It includes an improved blur kernel estimation method combined with compressed sensing theory and an improved infrared image super-resolution reconstruction algorithm based on block compressed sensing theory. In the blur kernel estimation method, we propose a blur kernel estimation algorithm under the compressed sensing framework to realize the estimation of the blur kernel from low-resolution images. In the estimation process, we define a new Lw norm to constrain the gradient image in the iterative process by analyzing the significant edge intensity changes before and after the image is blurred. With the Lw norm, the salient edges can be selected and enhanced, the intermediate latent image generated by the iteration can move closer to the clear image, and the accuracy of the blur kernel estimation can be improved. For the super-resolution reconstruction algorithm, we introduce a blur matrix and a regular total variation term into the traditional compressed sensing model and design a two-step total variation sparse iteration (TwTVSI) algorithm. Therefore, while ensuring the computational efficiency, the boundary effect caused by the block processing inside the image is removed. In addition, the design of the TwTVSI algorithm can effectively process the super-resolution model of compressed sensing with a sparse dictionary, thereby breaking through the reconstruction performance limitation of the traditional regularized super-resolution method of compressed sensing due to the lack of sparseness in the signal transform domain. The final experimental results also verify the effectiveness of our blind super-resolution algorithm.
Language	English
Publishing date	2021-06-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s21124109
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Blur Kernel Estimation and Non-Blind Super-Resolution for Power Equipment Infrared Images by Compressed Sensing and Adaptive Regularization.

Zhao, Hongshan / Liu, Bingcong / Wang, Lingjie

Sensors (Basel, Switzerland)

2021 Volume 21, Issue 14

Abstract: Infrared sensing technology is more and more widely used in the construction of power Internet of Things. However, due to cost constraints, it is difficult to achieve the large-scale installation of high-precision infrared sensors. Therefore, we propose ... ...

Abstract	Infrared sensing technology is more and more widely used in the construction of power Internet of Things. However, due to cost constraints, it is difficult to achieve the large-scale installation of high-precision infrared sensors. Therefore, we propose a blind super-resolution method for infrared images of power equipment to improve the imaging quality of low-cost infrared sensors. If the blur kernel estimation and non-blind super-resolution are performed at the same time, it is easy to produce sub-optimal results, so we chose to divide the blind super-resolution into two parts. First, we propose a blur kernel estimation method based on compressed sensing theory, which accurately estimates the blur kernel through low-resolution images. After estimating the blur kernel, we propose an adaptive regularization non-blind super-resolution method to achieve the high-quality reconstruction of high-resolution infrared images. According to the final experimental demonstration, the blind super-resolution method we proposed can effectively reconstruct low-resolution infrared images of power equipment. The reconstructed image has richer details and better visual effects, which can provide better conditions for the infrared diagnosis of the power system.
Language	English
Publishing date	2021-07-14
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s21144820
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Anomaly detection and fault analysis of wind turbine components based on deep learning network

Zhao, Hongshan / Liu, Huihai / Hu, Wenjing / Yan, Xihui

Renewable energy. 2018 Nov., v. 127

2018

Abstract: Continuous monitoring of wind turbine health using early fault detection methods can improve turbine reliability and reduce maintenance costs before they reach a catastrophic stage. To achieve anomaly detection and fault analysis of wind turbine ... ...

Abstract	Continuous monitoring of wind turbine health using early fault detection methods can improve turbine reliability and reduce maintenance costs before they reach a catastrophic stage. To achieve anomaly detection and fault analysis of wind turbine components, this paper proposes a deep learning method based on a deep auto-encoder (DAE) network using operational supervisory control and data acquisition (SCADA) data of wind turbines. First, a component DAE network model using multiple restricted Boltzmann machines (RBM) was constructed. Previously collected normal SCADA data from wind turbines were used to train this multilayer network model layer-wise to extract the relationships between SCADA variables. Then, a reconstruction error (Re) was calculated by using the DAE network input and its output reconstruction value, which was defined as the condition detection index to reflect the component health condition. Due to the acute changes and disturbances of wind speed in actual operation, the calculated detection index always has an extreme distribution that can cause false alarms. Therefore, an adaptive threshold determined by the extreme value theory was proposed and used as the rule of anomaly judgement. The method can not only implement early warning of fault components but also deduce the physical location of a faulted component by DAE residuals. Finally, the effectiveness of the proposed method was verified by some reported failure cases of wind turbine components.
Keywords	data collection ; equipment ; models ; monitoring ; renewable energy sources ; wind speed ; wind turbines
Language	English
Dates of publication	2018-11
Size	p. 825-834.
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2001449-1
ISSN	0960-1481
ISSN	0960-1481
DOI	10.1016/j.renene.2018.05.024
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Nop-7-associated 2 (NSA2) is required for ribosome biogenesis and protein synthesis.

Xing, Jinhao / Nan, Xu / Cui, Qi / Ma, Wenping / Zhao, Hongshan

Biochemical and biophysical research communications

2018 Volume 505, Issue 1, Page(s) 249–254

Abstract: Ribosome biogenesis is a fundamental cellular process and occurs mainly in the nucleolus in eukaryotes. The process is exceptionally complex and highly regulated by numerous ribosomal and non-ribosomal factors. A recent discovery strengthened the link ... ...

Abstract	Ribosome biogenesis is a fundamental cellular process and occurs mainly in the nucleolus in eukaryotes. The process is exceptionally complex and highly regulated by numerous ribosomal and non-ribosomal factors. A recent discovery strengthened the link between ribosome biogenesis and malignant transformation. Here, we determined that Nop-7-associated 2 (NSA2) is a nucleolar protein required for ribosome biogenesis. NSA2 knockdown reduced the rate of rRNA synthesis, diminishing the 60S ribosomal subunit. Moreover, we demonstrated that depletion of NSA2 suppressed protein synthesis. To investigate the signaling pathway affected by NSA2, NSA2 was depleted, which triggered the inactivation of the mTOR signaling pathway. Taken together, our findings reveal a novel function of NSA2 and provide insight into the regulation of ribosome biogenesis by NSA2.
MeSH term(s)	Amino Acid Sequence ; HCT116 Cells ; HEK293 Cells ; Humans ; Nuclear Proteins/genetics ; Nuclear Proteins/metabolism ; Polyribosomes/metabolism ; Protein Biosynthesis ; RNA Interference ; RNA, Ribosomal/genetics ; RNA, Ribosomal/metabolism ; Ribosome Subunits, Large, Eukaryotic/genetics ; Ribosome Subunits, Large, Eukaryotic/metabolism ; Ribosomes/genetics ; Ribosomes/metabolism ; Sequence Homology, Amino Acid ; Signal Transduction ; TOR Serine-Threonine Kinases/metabolism
Chemical Substances	NSA2 protein, human ; Nuclear Proteins ; RNA, Ribosomal ; MTOR protein, human (EC 2.7.1.1) ; TOR Serine-Threonine Kinases (EC 2.7.1.1)
Language	English
Publishing date	2018-09-20
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	205723-2
ISSN	1090-2104 ; 0006-291X ; 0006-291X
ISSN (online)	1090-2104 ; 0006-291X
ISSN	0006-291X
DOI	10.1016/j.bbrc.2018.09.041
Database	MEDical Literature Analysis and Retrieval System OnLINE

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