Shu Jiang, Xinyu Xu, Yunyi Wang and Jun Li
The purpose of this study is to determine the temperature ratings of infant bedding.
Abstract
Purpose
The purpose of this study is to determine the temperature ratings of infant bedding.
Design/methodology/approach
Mathematical models were developed for predicting temperature ratings of infant bedding for all age groups based on the thermal balance equation. These models were validated by the published physiological data and the baby manikin tests. The air temperature was compared with the predicted temperature rating, and the skin temperature of infant or baby manikin was used to explain the validation results.
Findings
The models had higher prediction accuracy, especially for the infant bedding with uniformly distributed thermal insulation. The results showed that an increase of 1 clo in thermal insulation caused a decrease of 4.2–6.0 °C in temperature rating. The slope of the model reduced with the increasing month-age, indicating that an older infant had a lower temperature rating than a younger infant.
Practical implications
Suggestions were given for caregivers that younger infants ought to be covered with more bedding than adults; however, older infants were expected to require less bedding.
Originality/value
The outcomes provided scientific guidelines on the selection of bedding for infants at a particular room temperature to ensure the health and safety of infants.
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Xinyu Xu, Riza Yosia Sunindijo and Eveline Mussi
This paper aims to assess the level of occupants’ satisfaction, comparing older and newer on-campus accommodation buildings in Sydney, Australia, aiming to identify their comfort…
Abstract
Purpose
This paper aims to assess the level of occupants’ satisfaction, comparing older and newer on-campus accommodation buildings in Sydney, Australia, aiming to identify their comfort factors deficiencies in terms of design and construction solutions/strategies (e.g. spatial arrangements, materials, thermal comfort).
Design/methodology/approach
A post occupancy evaluation survey was used to assess the occupant satisfaction with three on-campus accommodation buildings in The University of New South Wales (UNSW) Sydney. One of the selected buildings is an older building opened for occupation in 1996, and the other two are more recent on campus accommodations buildings. The survey included 11 post occupancy evaluation elements identified through literature review which were categorised into three dimensions: technical, functional and behavioural.
Findings
The results show that the satisfaction levels with thermal and acoustic comfort were below standards for both older and newer buildings. In addition, the older building used in this study was rated low in terms of: indoor air quality, lighting, maintenance and management, vertical transportation facility, room layout and furniture quality, building layout and aesthetics and level of privacy. Such factors related to both functional and behavioural dimensions were of greater satisfaction in newer buildings.
Practical implications
Findings suggest the high priority of strategies that address and improve the thermal and acoustic comfort of older and newer on-campus accommodation buildings if the intention is to enhance students’ satisfaction, especially considering the impact that these facilities have on students’ performance. Thermal performance in different seasons and adaptive thermal comfort activities should be considered in the design of new on-campus accommodation buildings and the retrofit of existing old buildings.
Originality/value
On-campus accommodation is an important facility that supports student learning outcomes and helps students adapt in a new learning environment. A post occupancy evaluation study to assess the adequacy of this facility is still lacking because previous studies have generally focussed on class rooms and work spaces in the education sector. This research compares the user satisfaction of older and newer on-campus accommodation buildings in Australia, to highlight deficiencies and areas for improvement in the design of existing and future buildings.
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Yajun Wang, Xinyu Meng, Chang Xu and Meng Zhao
This paper aims to analyze high-quality papers on the research of electronic word-of-mouth (eWOM) for product and service quality improvement from 2009 to 2022, in order to fully…
Abstract
Purpose
This paper aims to analyze high-quality papers on the research of electronic word-of-mouth (eWOM) for product and service quality improvement from 2009 to 2022, in order to fully understand their historical progress, current situation and future development trend.
Design/Methodology/Approach
This paper adopts the bibliometrics method to analyze the relevant literature, including publishing trend and citation status, regional and discipline area distribution, and influential publications. Secondly, the VOSviewer is used for literature co-citation analysis and keyword co-occurrence analysis to obtain the basic literature and research hotspots in this research field.
Findings
Firstly, the study finds that the number of publications basically shows an increasing trend, and those publications are mainly published in tourism journals. In addition, among these papers, China has the largest number of publications, followed by the USA and South Korea. Through co-citation analysis of literature and keyword co-occurrence analysis, 22 foundational papers and six main research topics are obtained in this paper. Finally, this paper elaborates on the development trend of the research topic and future research directions in detail.
Originality/value
This is the first paper that uses bibliometrics to analyze and review relevant researches on eWOM for product and service quality improvement, which is helpful for researchers to quickly understand its development status and trend. This review also provides some future research directions and provides a reference for further research.
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Xinyu Mei, Feng Xu, Zhipeng Zhang and Yu Tao
Workers' unsafe behavior is the main cause of construction safety accidents, thereby highlighting the critical importance of behavior-based management. To compensate for the…
Abstract
Purpose
Workers' unsafe behavior is the main cause of construction safety accidents, thereby highlighting the critical importance of behavior-based management. To compensate for the limitations of computer vision in tackling knowledge-intensive issues, semantic-based methods have gained increasing attention in the field of construction safety management. Knowledge graph provides an efficient and visualized method for the identification of various unsafe behaviors.
Design/methodology/approach
This study proposes an unsafe behavior identification framework by integrating computer vision and knowledge graph–based reasoning. An enhanced ontology model anchors our framework, with image features from YOLOv5, COCO Panoptic Segmentation and DeepSORT integrated into the graph database, culminating in a structured knowledge graph. An inference module is also developed, enabling automated the extraction of unsafe behavior knowledge through rule-based reasoning.
Findings
A case application is implemented to demonstrate the feasibility and effectiveness of the proposed method. Results show that the method can identify various unsafe behaviors from images of construction sites and provide mitigation recommendations for safety managers by automated reasoning, thus supporting on-site safety management and safety education.
Originality/value
Existing studies focus on spatial relationships, often neglecting the diversified spatiotemporal information in images. Besides, previous research in construction safety only partially automated knowledge graph construction and reasoning processes. In contrast, this study constructs an enhanced knowledge graph integrating static and dynamic data, coupled with an inference module for fully automated knowledge-based unsafe behavior identification. It can help managers grasp the workers’ behavior dynamics and timely implement measures to correct violations.
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Abstract
Purpose
Although blood banks have recently started to recruit blood donors through social media platforms, including WeChat, to increase recruitment effectiveness, few researchers have studied their effects on blood donation behavior. The aim of this study is to examine the influence of using official WeChat accounts on repeat blood donation behavior.
Design/methodology/approach
This paper used the backstage operation data of official WeChat accounts and blood supply chain management system data from the blood bank for the study to analyze the changes in repeat blood donation behavior. First, to analyze the changes in the average frequency of blood donation per year, average volume of single blood donation and blood eligible rate of repeat blood donors before and after following the official WeChat accounts by difference-in-differences model combined with propensity score matching (PSM-DID). Second, we examined the impact of official WeChat accounts on the proportion of repeat blood donors through survival analysis.
Findings
The results show that following WeChat accounts increases the average frequency of blood donation and blood eligible rate of repeat blood donors by 14.36% and 1.19%, respectively, and have no significant effect on the average volume of single blood donation. Further, WeChat accounts have a more significant impact on the average frequency of blood donations per year for workers, farmers, medical staff and groups with education levels of junior high school. In addition, official WeChat accounts can effectively increase the proportion of repeat donors.
Originality/value
The results provide a quantitative basis for the influence of official WeChat accounts on repeat blood donation behaviors. On the one hand, it is of great significance to guide the publicity and recruitment of unpaid blood banks. On the other hand, it provides an evidence for the promotion of official WeChat accounts.
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Despite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie…
Abstract
Purpose
Despite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie supply chain management. Drawing on cognitive-behavioral theory, the authors propose a moderated-mediation model to investigate how paradoxical leadership impacts manufacturing supply chain resilience.
Design/methodology/approach
By conducting a two-wave study encompassing 164 supply chain managers from Chinese manufacturing firms, the authors employ partial least squares structural equation modeling (PLS-SEM) to empirically examine and validate the proposed hypotheses.
Findings
The findings indicate that managers' paradoxical cognition significantly affects supply chain resilience, with supply chain ambidexterity acting as a mediating mechanism. Surprisingly, the study findings suggest that big data analytics negatively moderate the effect of paradoxical cognition on supply chain ambidexterity and supply chain resilience, while positively moderating the effect of supply chain ambidexterity on supply chain resilience.
Research limitations/implications
These findings shed light on the importance of considering cognitive factors and the potential role of big data analytics in enhancing manufacturing supply chain resilience, which enriches the study of behavioral operations.
Practical implications
The results offer managerial guidance for leaders to use paradoxical cognition frames and big data analytics properly, offering theoretical insight for future research in manufacturing supply chain resilience.
Originality/value
This is the first empirical research examining the impact of paradoxical leadership on supply chain resilience by considering the role of big data analytics and supply chain ambidexterity.
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Du-Xin Liu, Xinyu Wu, Wenbin Du, Can Wang, Chunjie Chen and Tiantian Xu
The purpose of this paper is to model and predict suitable gait trajectories of lower-limb exoskeleton for wearer during rehabilitation walking. Lower-limb exoskeleton is widely…
Abstract
Purpose
The purpose of this paper is to model and predict suitable gait trajectories of lower-limb exoskeleton for wearer during rehabilitation walking. Lower-limb exoskeleton is widely used for assisting walk in rehabilitation field. One key problem for exoskeleton control is to model and predict suitable gait trajectories for wearer.
Design/methodology/approach
In this paper, the authors propose a Deep Spatial-Temporal Model (DSTM) for generating knee joint trajectory of lower-limb exoskeleton, which first leverages Long-Short Term Memory framework to learn the inherent spatial-temporal correlations of gait features.
Findings
With DSTM, the pathological knee joint trajectories can be predicted based on subject’s other joints. The energy expenditure is adopted for verifying the effectiveness of new recovery gait pattern by monitoring dynamic heart rate. The experimental results demonstrate that the subjects have less energy expenditure in new recovery gait pattern than in others’ normal gait patterns, which also means the new recovery gait is more suitable for subject.
Originality/value
Long-Short Term Memory framework is first used for modeling rehabilitation gait, and the deep spatial–temporal relationships between joints of gait data can obtained successfully.
Details
Keywords
Xinyu Guo, Xu Chen and Xiaoke Liang
The purpose of this paper is to explore the impact and mechanism of WeChat public platforms articles (abbreviated as WPP) on blood donation behavior using data of WPPA and…
Abstract
Purpose
The purpose of this paper is to explore the impact and mechanism of WeChat public platforms articles (abbreviated as WPP) on blood donation behavior using data of WPPA and donation behavior data.
Design/methodology/approach
This paper uses multiple linear regression methods, web crawlers and natural language processing technology. It first quantifies the impact of WPP published articles on donation behavior. On this basis, it then selects data from the day of article publication to further study the impact of article dissemination on donation behavior from the perspective of reading quantity, and analyzes the influencing factors of article reading quantity.
Findings
The results show that on the same day that an article is published, there is an increase of 13.8 and 14.3% in blood donation volume and fan registrations, respectively. The mediating effect exists. However, the day after an article is published, there is no longer any effect on blood donations. With a 1% increase in reading quantity, blood donation volume on the day of article publication increases by 0.13%, and this positive impact is promoted by the quality of the articles. A conc ise articles title and body and rich images help drive reading quantity. Moreover, blood donors prefer to read articles about blood dynamics and donation promotion, while articles about news, announcements and administrative affairs make them less inclined to read.
Originality/value
First, it focuses on WPPA, quantifies the impact of articles on blood donation behavior and analyzes the mechanism. Second, the authors study the impact and timeliness of social media article dissemination to address the insufficiency of existing research. Third, the study provides a scientific basis for the editing and publishing of articles, helping blood banks improve the effectiveness of publicity and recruitment.
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Xiaodi Xu, Shanchao Sun, Yang Fei, Liubin Niu, Xinyu Tian, Zaitian Ke, Peng Dai and Zhiming Liang
This article aims to predict the rapid track geometry change in the short term with a higher detection frequency, and realize the monitoring and maintenance of the railway state.
Abstract
Purpose
This article aims to predict the rapid track geometry change in the short term with a higher detection frequency, and realize the monitoring and maintenance of the railway state.
Design/methodology/approach
Firstly, the ABA data needs to be filtered to remove the DC component to reduce the drift due to integration. Secondly, the quadratic integration in frequency domain for concern components of the vertical and lateral ABA needs to be done. Thirdly, the displacement in lateral of the wheelset to rail needs to be calculated. Then the track alignment irregularity needs to be calculated by the integration of lateral ABA and the lateral displacement of the wheelset to rail.
Findings
By comparing with a commercial track geometry measurement system, the high-speed railway application results in different conditions, after removal of the influence of LDWR, identified that the proposed method can produce a satisfactory result.
Originality/value
This article helps realize detection of track irregularity on operating vehicle, reduce equipment production, installation and maintenance costs and improve detection density.
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Abstract
Purpose
The purpose of this paper is to link subjective data obtained from a questionnaire survey with blood donation behavioral data, constructs a conceptual model of the factors that influence repeated blood donation behavior, and explores the mechanisms and degrees of influence of the value and cost elements of blood donors on repeated blood donation behavior.
Design/methodology/approach
First, this study constructs a conceptual model of the factors that affect repeated blood donation based on delivered value theory. Second, this paper is driven by subjective data obtained from a questionnaire and big data on blood donation behavior; the use of multisource data can help us understand repeated blood donation behavior from a broader perspective. Through data association and systematic research, it is possible to accurately explore the mechanisms through which various factors affect repeated blood donation behavior.
Findings
The results show that among the value elements, personnel value (PV), image value and blood donation value affect blood donation behavior in decreasing order. The change in PV per unit directly caused a 0.471-unit change in satisfaction, which indirectly caused a 0.098-unit change in donation behavior. Among the cost elements of blood donors, only the impact of time cost (TC) on repeated blood donation behavior was significant, and a change of one unit in TC caused a change in repeated blood donation behavior of −0.035 units. In addition, this paper groups subjects according to gender, education and age and explores the differences in the value and cost factors of different groups. Finally, based on the research results, the authors propose corresponding policy recommendations.
Originality/value
First, the authors expand the application field of the delivered value theory, and provide a new perspective for studying repeated blood donation. Second, through questionnaire data and blood donation behavior data, the authors comprehensively explore the factors that influence repeated blood donation behavior.