Bingjun Li, Shuhua Zhang, Wenyan Li and Yifan Zhang
Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the…
Abstract
Purpose
Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.
Design/methodology/approach
Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.
Findings
The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.
Originality/value
By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.
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Yifan Zhang, Jianyang Zhu, Xu Wang, Yaochi Zhang and Le Gu
Under oil interruption, lubricant supply in the high-speed bearing cavity is interrupted, which reduces the bearing lubrication and cooling ability, thus leading to degradation of…
Abstract
Purpose
Under oil interruption, lubricant supply in the high-speed bearing cavity is interrupted, which reduces the bearing lubrication and cooling ability, thus leading to degradation of bearing performance or even its failure. This paper aims to study the effect of grooves at the noncontact outer ring area on the flow and thermal performance of high-speed bearings under oil interruption, which is expected to improve the resistance of existing bearings to oil interruption.
Design/methodology/approach
The groove was added to the noncontact outer ring area of the bearing, and a method of combining volume of fluid and MRF was adopted to systematically study and analyze the oil-gas flow field structure and the temperature field distribution in the bearing cavities.
Findings
Results show that the lubricating oil could be stored and guided by the grooves of the bearing outer ring into the key lubrication area inside the bearing cavity, which increased the oil content near the inner ring and made the oil distribution more uniform. As a result, lubrication cooling and heat dissipation performance of the bearing cavity was improved. Compared with the original bearing, the bearing with a V-shaped groove had the optimal lubrication and cooling performance.
Originality/value
A rolling bearing model of the noncontact outer ring area with grooves under oil interruption is established in the paper. The simulation results provide theoretical guidance for the research and development of high-speed bearings with stronger oil interruption resistance ability.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0199/
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Yan Wan, Yifan Zhang and Mengling Yan
Online trust is a key factor for successful online transactions. To some extent, online health consultation can be considered an online transaction. Owing to the unique…
Abstract
Purpose
Online trust is a key factor for successful online transactions. To some extent, online health consultation can be considered an online transaction. Owing to the unique physician–patient relationship, patients' choice of physicians within an online health consultation setting may not only be based on rational judgments but also considerably affected by their feelings. Hence, the purpose of this study was to explore which physicians' attributes affect patients' cognitive and affective trust in physicians, as well as how these two variables and their association affect patients' willingness to choose.
Design/methodology/approach
Based on the broad conceptual framework of online trust, this paper proposed a set of hypotheses that were tested through analyzing survey data using structural equation modeling techniques.
Findings
Results showed that physicians' ability had a significant positive influence on patients' cognitive trust in the physician; physicians' integrity and benevolence had a significant positive influence on patients' affective trust in the physician; cognitive and affective trust had a significant positive impact on patients' willingness to choose and there were significant positive interactions between affective and cognitive trust.
Originality/value
This study theoretically enriches the generic model of online trust. From the practical perspective, it will provide physicians working in online health consultation platforms and relevant practitioners with baseline information on the topic and advice for decision-making toward service enhancement and clientele improvements.
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Wenshen Xu, Yifan Zhang, Xinhang Jiang, Jun Lian and Ye Lin
In the field of steel defect detection, the existing detection algorithms struggle to achieve a satisfactory balance between detection accuracy, computational cost and inference…
Abstract
Purpose
In the field of steel defect detection, the existing detection algorithms struggle to achieve a satisfactory balance between detection accuracy, computational cost and inference speed due to the interference from complex background information, the variety of defect types and significant variations in defect morphology. To solve this problem, this paper aims to propose an efficient detector based on multi-scale information extraction (MSI-YOLO), which uses YOLOv8s as the baseline model.
Design/methodology/approach
First, the authors introduce an efficient multi-scale convolution with different-sized convolution kernels, which enables the feature extraction network to accommodate significant variations in defect morphology. Furthermore, the authors introduce the channel prior convolutional attention mechanism, which allows the network to focus on defect areas and ignore complex background interference. Considering the lightweight design and accuracy improvement, the authors introduce a more lightweight feature fusion network (Slim-neck) to improve the fusion effect of feature maps.
Findings
MSI-YOLO achieves 79.9% mean average precision on the public data set Northeastern University (NEU)-DET, with a model size of only 19.0 MB and an frames per second of 62.5. Compared with other state-of-the-art detectors, MSI-YOLO greatly improves the recognition accuracy and has significant advantages in computational cost and inference speed. Additionally, the strong generalization ability of MSI-YOLO is verified on the collected industrial site steel data set.
Originality/value
This paper proposes an efficient steel defect detector with high accuracy, low computational cost, excellent detection speed and strong generalization ability, which is more valuable for practical applications in resource-limited industrial production.
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Qingfeng Meng, Yifan Zhang, Zhen Li, Weixiang Shi, Jun Wang, Yanhui Sun, Li Xu and Xiangyu Wang
The purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.
Abstract
Purpose
The purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.
Design/methodology/approach
Using quantitative and qualitative bibliometric statistical methods, the current mode of interaction between BIM and other related technologies is summarized.
Findings
This paper identified 24 different BIM applications in the life cycle. From two perspectives, the implementation status of BIM applications and integrated technologies are respectively studied. The future industry development framework is drawn comprehensively. We summarized the challenges of BIM applications from the perspectives of management, technology and promotion, and confirmed that most of the challenges come from the two driving factors of promotion and management.
Research limitations/implications
The technical challenges reviewed in this paper are from the collected literature we have extracted, which is only a part of the practical challenges and not comprehensive enough.
Practical implications
We summarized the current mode of interactive use of BIM and sorted out the challenges faced by BIM applications to provide reference for the risks and challenges faced by the future industry.
Originality/value
There is little literature to integrate BIM applications and to establish BIM related challenges and risk frameworks. In this paper, we provide a review of the current implementation level of BIM and the risks and challenges of stakeholders through three aspects of management, technology and promotion.
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Yan Wan, Ziqing Peng, Yalu Wang, Yifan Zhang, Jinping Gao and Baojun Ma
This paper aims to reveal the factors patients consider when choosing a doctor for consultation on an online medical consultation (OMC) platform and how these factors influence…
Abstract
Purpose
This paper aims to reveal the factors patients consider when choosing a doctor for consultation on an online medical consultation (OMC) platform and how these factors influence doctors' consultation volumes.
Design/methodology/approach
In Study 1, influencing factors reflected as service features were identified by applying a feature extraction method to physician reviews, and the importance of each feature was determined based on word frequencies and the PageRank algorithm. Sentiment analysis was used to analyze patient satisfaction with each service feature. In Study 2, regression models were used to analyze the relationships between the service features obtained from Study 1 and the doctor's consultation volume.
Findings
The study identified 14 service features of patients' concerns and found that patients mostly care about features such as trust, phraseology, overall service experience, word of mouth and personality traits, all of which describe a doctor's soft skills. These service features affect patients' trust in doctors, which, in turn, affects doctors' consultation volumes.
Originality/value
This research is important as it informs doctors about the features they should improve, to increase their consultation volume on OMC platforms. Furthermore, it not only enriches current trust-related research in the field of OMC, which has a certain reference significance for subsequent research on establishing trust in online doctor–patient relationships, but it also provides a reference for research concerning the antecedents of trust in general.
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Yifan Zhang, Qing Wang, Anan Zhao and Yinglin Ke
This paper aims to improve the alignment accuracy of large components in aircraft assembly and an evaluation algorithm, which is based on manufacture accuracy and coordination…
Abstract
Purpose
This paper aims to improve the alignment accuracy of large components in aircraft assembly and an evaluation algorithm, which is based on manufacture accuracy and coordination accuracy, is proposed.
Design/methodology/approach
With relative deviations of manufacturing feature points and coordinate feature points, an evaluation function of assembly error is constructed. Then the optimization model of large aircraft digital alignment is established to minimize the synthesis assembly error with tolerance requirements, which consist of three-dimensional (3D) tolerance of manufacturing feature points and relative tolerance between coordination feature points. The non-linear constrained optimization problem is solved by Lagrange multiplier method and quasi-Newton method with its initial value provided by the singular value decomposition method.
Findings
The optimized postures of large components are obtained, which makes the tolerance of both manufacturing and coordination requirements be met. Concurrently, the synthesis assembly error is minimized. Compared to the result of the singular value decomposition method, the algorithm is validated in three typical cases with practical data.
Practical implications
The proposed method has been used in several aircraft assembly projects and gained a good effect.
Originality/value
This paper proposes a method to optimize the manufacturing and coordination accuracy with tolerance constraints when the postures of several components are adjusted at the same time. The results of this paper will help to improve the quality of component assemblies.
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Hongqi Liu, Tianbing Jia, Chaoqing Yuan and Yifan Zhang
This paper attempts to provide novel approaches and tools for the analysis and measurement of stock bubbles.
Abstract
Purpose
This paper attempts to provide novel approaches and tools for the analysis and measurement of stock bubbles.
Design/methodology/approach
The study is based on the perspective of a generalized virtual economy and the circulation process of accumulation strengthening and exclusion in the stock noise and is based on the symmetric chain model of the evolutionary game of combination of stock markets. Based on the stable ratio of the rational and irrational investors and the asymptotically stable strategy of the model in the two cases, the paper uses the improved classic model of noise trading (DSSW) to calculate the irrational bubbles on the Shanghai stock market.
Findings
The paper shows that the more irrational investors are, the higher the irrational bubbles are.
Practical implications
The method exposed in the paper can be used to study the formation mechanism of the stock market bubble, to analyze the impact of investors' behaviours, to measure the size of irrational bubbles and to put forward some reasonable policy recommendations and preventive measures.
Originality/value
The paper succeeds in pointing out a new stock market's irrational bubble calculation model on the basis of evolutionary game chain structure, and thus measures the size of the Shanghai stock market bubble and makes some tentative research and discussion about the evolution law of the stock market's irrational bubble.
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Zhijun Yan, Roberta Bernardi, Nina Huang and Younghoon Chang
Lindy Osborne Burton and Ashraf M. Salama
Following the positive call for a special issue on Architectural Pedagogies and Sustainable Development Goals (SDGs), the purpose of this overview article is to contextualise…
Abstract
Purpose
Following the positive call for a special issue on Architectural Pedagogies and Sustainable Development Goals (SDGs), the purpose of this overview article is to contextualise reflections on nine selected articles, within recent efforts made by professional organisations, which aspire to blend sustainable development into the collective psyche of both academics and future professionals.
Design/methodology/approach
This article adopts four lines of inquiry by capturing key insights on the place of sustainable design knowledge in architectural education validation and accreditation at both national and global scales; presenting analytical narratives on the recent global efforts that embrace excellence in architectural pedagogy through addressing SDGs; elucidating the two knowledge spaces, centred on pedagogy and sustainability, which are strengthened and supported by Archnet-IJAR, and offering reflections on the nine articles published in this special issue that aims at integration of the two knowledge spaces.
Findings
Contextualisation and reflective narratives offer insights into current efforts and demonstrate a clear commitment of professional organisations to embed values relevant to SDGs. Efforts of the Education Commission of the International Union of Architects and the UNESCO-UIA Validation Council of Architectural Education appear to have advanced significantly over recent years with a clear prospect for a sustainable future. The nine articles published in this special issue respond clearly to the goal of Quality Education (SDG4), but not all of them have addressed the goals related to Good Health and Well-being (SDG3) and Sustainable Cities and Communities (SDG11), and their place in architectural pedagogy. However, they take a step further to address aspects of climate change, globalisation, sustainable architecture and urbanism, social sustainability, global north/global south dialectics and decolonisation.
Practical implications
The findings offer opportunities to recognise efforts by professional organisations, map key pedagogical experiments into these efforts, while providing lessons learned from best practices aiming to effectively integrate SDGs into architectural pedagogy.
Originality/value
No serious effort has been made to articulate the integration of SDGs into architectural education at the level of research or design studio pedagogical practice. Addressing architectural pedagogies and sustainable development is predicated on the fact that there is very little written or known on integrating SDGs into architectural education and design pedagogy. Understanding, appreciating, and sharing various efforts and approaches to incorporate SDGs into architectural pedagogy is a key step towards a sustainable future.