bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and development of graduated compression garment with adhesive stripes using 3D virtual fitting technology
Authors: Černiavskaja Ana , Ancutienė Kristina , Valatkienė Loreta 
Published: January 2025

PurposeThe goal of this research is to utilize 3D virtual fitting technology to design and develop a customized full leg sleeve with graduated compression and strategically placed adhesive stripes, aiming to improve training effectiveness by restricting bending movement in the leg.Design/methodology/approachKnitted fabric and polymer adhesive film were chosen for compression garment development. The design of adhesive stripes was based on Kinesio taping method. Pattern design and 3D visualization was performed using Modaris 3D (CAD Lectra). The compression values were determined by the Laplace equation. The compression full leg sleeve with and without the adhesive stripes were fitted on the virtual mannequin in the squat position in order to determine the influence of adhesive stripes for tensile load in longitudinal direction.FindingsThe compression values in a virtual garment varied from 23.17 ± 1.94 mmHg in the ankle girth to 13.41 ± 1.50 mmHg in the thigh girth. The difference did not exceed 3 mmHg compared to the planned pressure values. The obtained result showed that purposefully placed adhesive stripes significantly increased the tensile force in the longitudinal direction of the garment in a squat position, so it may improve training effectiveness.Research limitations/implications3D virtual fitting represents the fit on a solid body form, which may affect the accuracy of compression garment simulation, as the human body is not rigid.Originality/valueThe application of 3D virtual fitting technology in creating customized and functional garments demonstrates its unique contribution to garment prototyping and product development.
Innovators and transformers: enhancing supply chain employee training with an innovative application of a large language model
Authors: Gezdur Arda , Bhattacharjya Jyotirmoyee 
Published: January 2025

PurposeThe application of generative artificial intelligence (GenAI) has the potential to transform supply chain management (SCM) practice. This study focuses on the role of GenAI, specifically large language models (LLMs), in enhancing the training efficiency and outcomes for supply chain employees.Design/methodology/approachAn intervention-based research approach is used to implement a novel LLM-based methodology for improving both the training process for new employees and the continuous knowledge acquisition experience for existing staff in the supply chain function of an eyewear company.FindingsThe preliminary findings show that incorporating an LLM significantly improved the efficiency of the training process and reduced the training cost for employees by 25%. New employees could access relevant information swiftly, reducing training time and enhancing the quality of training. Notable outcomes included faster knowledge acquisition, personalized learning pathways and continuous improvement through user feedback.Originality/valueThis study contributes to the literature by establishing a foundational framework for leveraging LLMs for knowledge management and process automation within SCM. It offers actionable insights for SCM practitioners, highlighting opportunities to adopt LLM-powered methodologies for optimizing training processes, improving decision-making and automate SCM tasks.
Exploring the relative marginal effects of household expenditure components on inequality in Chad using decomposition techniques
Authors: Demsou Themoi , Ningaye Paul 
Published: January 2025

PurposeImproving household consumption and reducing inequality are among the goals of developing countries. Therefore, the objective of this study is to investigate the relative marginal effects of components of household expenditure on total inequality.Design/methodology/approachWe use the Lerman and Yitzhaki method, which allows us to determine the impact of marginal changes on inequality. The data used are from consumption surveys of 6,695 households in 2003, 9,259 households in 2011 and 7,493 households in 2018.FindingsWe observed that spending inequality widened to 0.410 in 2003, 0.420 in 2011 and 0.411 in 2018. Food expenditure during the three periods accounted for most of the variance in total consumption expenditure. The largest impact of a marginal change in spending components on overall inequality was due to transport, communication, recreation and culture, education and miscellaneous goods and services (positive effect) and alcohol and tobacco and expenditure on housing (negative effect).Originality/valueThis study is the first to decompose Chad’s Gini coefficient into its components, taking into account their relative marginal effects on total inequality. Income inequality, calculated by the World Bank from the Survey of Budget Consumption in Sub-Saharan Africa, does not reveal the effects and policies specific to its components. This study could fill this gap in the literature on income inequality.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2024-0537.
Assessing the nexus of label content and consumer reviews: insights from premium wines on Vivino
Authors: Rocuant Fuentes Camila , Rita Paulo , Antonio Nuno 
Published: January 2025

Purpose
This study aims to explore the relationship between wine label content and consumer reviews on Vivino, focusing on how label information compares to consumer perceptions and purchase decisions.

Design/methodology/approach
The research uses text mining, image mining and topic modeling techniques to analyze a data set of 444 highly rated Portuguese wines and 993,945 consumer reviews from Vivino. It examines the overlap between topics discussed in consumer reviews and the information provided on wine labels.

Findings
The findings reveal that wine labels have a limited similarity with consumer reviews. While consumer reviews primarily emphasize sensory characteristics like fruitiness and tannins, wine labels focus more on descriptive and technical information.

Originality/value
This research provides new insights into the dynamic relationship between wine labeling and consumer behavior. By analyzing the alignment between traditional wine labels and online consumer reviews, the study offers valuable implications for wineries seeking to optimize label design to match consumer preferences, particularly sensory attributes better. This study extends existing research and highlights critical gaps in how wine labels convey essential sensory information to consumers.
Study on the surface quality of 10% vol Mg2Si/Al composites after solution treatment
Authors: Lv Guangchao , Gao Qi , Wang Quanzhao 
Published: January 2025

Purpose
To improve the surface quality of Mg2Si/Al composites after solution treatment, the formation mechanism of surface defects under milling machining conditions is investigated to reduce the surface roughness.

Design/methodology/approach
This paper analyzes the formation mechanism of surface defects on Mg2Si/Al composites under micro-milling conditions by establishing a two-dimensional finite element simulation model. Response surface (Box–Behnken) experiments are designed to establish a prediction model for surface roughness, and an analysis of extreme variance is used to investigate the effects of milling depth (ap), spindle speed (vs) and feed rate (vf) on surface quality. NSGA-II multi-objective optimization algorithm is used to optimize the process parameters by considering surface roughness and milling efficiency. Experiments are also applied to verify the relationship between surface defects and particle damage. The effect of depth of cut on surface defects is also investigated.

Findings
There are few studies on solid solution treated Mg2Si/Al composites. Solid solution treated Mg2Si/Al composites have excellent material properties without changing the original shape of the material, and they are indispensable and critical materials in the fields of aerospace, energy, electronic information and energy transportation.

Originality/value
This study elucidates the formation mechanism of surface damage in Mg2Si/Al composites, optimizes reasonable process parameters and provides technical guidance for its milling processing.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0309/
Thermal analysis of exciter rolling bearing based on heat flow coupling
Authors: Han Xiaoming , Zhang He , Yang Kangjian 
Published: January 2025

Purpose
This study aims to investigate the temperature rise characteristics of vibrating rolling bearings under the influence of the polarization force of unbalanced eccentric blocks. A thermal-fluid-solid mechanics coupled finite element model is established to analyze the effects of different loads and rotational speeds on bearing temperature to prevent overheating, wear and thermal damage.

Design/methodology/approach
A thermal-fluid-solid mechanics coupled finite element model of the vibrating rolling bearing is developed based on the principles of heat transfer. Finite element analysis software is used to conduct numerical simulations and study the temperature distribution of the bearing system under different loads and speeds. The model’s accuracy is verified by experimentally measuring the actual temperature of the bearing under the same working conditions.

Findings
This study successfully established a thermal-fluid-solid mechanics coupled finite element model of a vibrating rolling bearing, verifying its accuracy and reliability. The research results provide an essential reference for optimizing bearing design, preventing overheating and extending service life.

Research limitations/implications
By analyzing the temperature rise characteristics under various load and rotational speed conditions, the law governing the internal temperature distribution of bearings is revealed. This finding offers a theoretical foundation for comprehending the thermal behavior of bearings.

Practical implications
This study offers a scientific foundation for the maintenance and fault diagnosis of shaker rolling bearings, aiding in the timely identification and resolution of thermal damage issues. Through the optimization of bearing design and usage conditions, the equipment’s lifespan can be prolonged, maintenance expenses can be minimized and production efficiency can be enhanced.

Originality/value
A thermal-fluid-solid mechanics coupled finite element model of a vibrating rolling bearing was established, considering the interaction of multiple physical fields. The influence of the polarization force from the unbalanced eccentric block on the bearing temperature is analyzed in detail, which is close to the actual working conditions.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2024-0396/
Exploring the safe haven properties of sukuk: a machine learning and K-cluster perspective
Authors: ul Mustafa Atta 
Published: January 2025

Purpose
This study aims to explore the safe-haven properties of sukuk and analyze the co-movement and interdependence between sukuk and conventional bond indices to provide insights into the potential role of diversification.

Design/methodology/approach
The study uses the data set from 2012 to 2022, retrieved from the Eikon Reuter database. Different machine learning tools such as decision trees, random forests, gradient boosting and deep neural networks have been applied to capture the non-linear relationship and co-movement among the variables. Furthermore, K-clustering captures the hidden patterns and periods of high and low co-movements.

Findings
The results state that the sukuk and conventional bond indices exhibit various degrees of co-movement influenced by regional and global market sentiments. The clustering analysis shows strong positive and negative correlations. The sukuk shows some instances of zero co-movement, but the results are inconsistent across all scenarios. Moreover, investors need to do their research first before investing in sukuk.

Originality/value
This study uniquely applies K-clustering and advanced machine learning tools to understand the nonlinear relationship among variables better. In contrast, the previous studies mainly focused on linear relationships. It is critical to understand that financial variables tend to have nonlinear relationships, and these techniques best suit those needs.
From values to value: exploring the dual impact of national spirit on corporate ESG performance
Authors: Tan Weijie , Liu Yiqian , Dong Qi , Chen Xihui Haviour 
Published: January 2025

PurposeNational spirit, as a powerful legitimacy trait, shapes the consistency of a firm’s financial decisions, employee engagement and sustainability strategies. Combining this with resource-based view (RBV) theory, the study empirically examines the dual impact of national spirit on corporate environmental, social and governance (ESG) performance.Design/methodology/approachThis paper utilizes data from Chinese A-share listed companies from 2009 to 2022 and employs machine learning methods to construct enterprise-level indicators of national spirit. In addition, the paper scrapes nearly 3 million ESG-related online news articles from the Baidu news website and uses machine learning methods to measure media ESG attention and sentiment.FindingsThe findings reveal that national spirit significantly enhances corporate ESG performance, operating through both internal and external channels: promoting social financing and boosting employee morale. Further analysis indicates that the positive influence of national spirit on corporate ESG performance is more pronounced in private enterprises, companies facing higher levels of credit constraints and firms in polluting industries. Additionally, managerial shortsightedness weakens the sustainable value of national spirit, while external media ESG attention and regional ESG governance efforts further strengthen this effect. Furthermore, different dimensions of national spirit exhibit varying impacts on corporate ESG performance.Practical implicationsThis study provides new insights for promoting sustainable development systems in emerging economies and understanding the role of national spirit in corporate social responsibility investments.Originality/valueThis paper shifts the study of national spirit from macro-level cultural analyses to a micro-level perspective. It bridges gaps in the literature by providing empirical evidence on the role of national spirit as a soft resource that influences corporate financial behavior and employee morale. This study provides new insights into promoting sustainable development systems in emerging economies and understanding the role of national spirit in corporate social responsibility investments.
The impact of digital technology on the economic behavior of traditional minority villages in China
Authors: Yang Yue , Zhang Liming , Xi Guoqian , Zhong Changbiao , Shu Ting 
Published: January 2025

Purpose
This study aims to investigate how digital technology influences the happiness of villagers in traditional ethnic minority communities, with Waipula Village as a focal case study. Recognized as a forerunner in achieving the United Nations Sustainable Development Goals, Waipula Village exemplifies how digital innovation can transform rural communities.

Design/methodology/approach
Using an exploratory case study approach, the research reveals that digital technology enhances villagers’ happiness by improving market access, mitigating geographical limitations and fostering entrepreneurship and innovation.

Findings
In addition, digital technology has led to new consumption patterns and cultural values, significantly contributing to the village’s sustainable development and overall well-being.

Originality/value
This analysis expands the understanding of the role of digital technology in ethnic minority villages and offers valuable insights for rural revitalization strategies, highlighting its importance in enhancing happiness and preserving cultural heritage.
Integrating mindful organizing and organizational learning to enhance sustainability performance of exporting firms
Authors: Ullah Sami , Ahmad Tooba , Shahzad Khuram , Kukreti Mohit , Shaukat Muhammad Rehan , Sami Abdul 
Published: January 2025

Purpose
Sustainability is a pressing global issue that affects everyone on the planet. This study aims to provide a deeper understanding of the nuanced interplay between mindful organizing (MO), organizational learning capability (OLC), leadership commitment to sustainable development goals (SDGs) and sustainability performance, adopting the theoretical foundation of organizational learning.

Design/methodology/approach
The survey data from 728 middle management employees of exporting firms in Pakistan were collected at two points. The mediated moderation analysis was performed through structural equation modeling in AMOS 26.

Findings
The results indicate a positive relationship between MO and sustainability performance. The mediating effect of OLC highlights that firms that acquire, assimilate and apply knowledge and insights leverage their MO strategies to improve sustainability performance more effectively. Additionally, the leadership commitment to SDGs amplifies the positive effect of OLC on sustainability performance.

Practical implications
These results have important implications for managers and policymakers who seek to promote sustainability in organizations. The findings suggest that cultivating a mindful organizational culture and investing in learning capability enhance sustainability performance. Exporting firms should develop comprehensive learning programs that embed mindfulness and sustainability into the core of organizational culture. More interdisciplinary research is needed to integrate insights from environmental science, psychology, management and organizational behavior.

Originality/value
This research stands out for its integrative approach, practical relevance, empirical examination of important concepts and alignment with global sustainability goals. Exporting firms must understand how organizational learning capabilities and MO can be harnessed to achieve sustainable outcomes.
Experimental investigation of wear behaviour of WC-10Co-4Cr-coated SS304 on slurry pot tester
Authors: Khullar Paras , Singh Gurmeet , Kumar Satish 
Published: January 2025

Purpose
The paper aims to investigate the effects of slurry erosion on hydro turbine components, focusing on the experimental analysis of SS-304 using sand as the erodent material. The study was conducted on a tester under varying parameters to assess the material’s erosion behavior. In this work, the experimental investigation of SS-304 with sand was done with sand as the erodent material on a tester with various parameters. Further, the materials were made more resistant to wear by a WC-10Co-4Cr coating, done by the high-velocity oxygen fuel method. The mass loss of the specimens with and without coating was calculated. SEM was carried out on the specimens. The specimens with coating showed greater erosion resistance than the base material; however, wear mechanisms such as craters, lip formation, pores, etc. were discovered on the specimens.

Design/methodology/approach
The wear tests were carried out on the specimens with parameters of rotating speeds of 1,000, 1,150, 1,300 and 1,450 rpm; time duration 80, 130 and 180 min with sand concentrations of 30% and 50% in water. The base material was coated with WC-10Co-4Cr by the HVOF method of thermal spray.

Findings
In the results, it was observed that the wear resistance of the coated specimen increased significantly as compared to the uncoated material. Concentration proved to be the major factor influencing the wear erosion followed by rotational speed and time period. Various surface defects such as ploughing, crater formation, lip formation and micro-cutting were also found.

Originality/value
Slurry concentration was found to be the more dominant factor in increasing the wear of the specimens. The tests proved that the coating proved to be highly wear-resistant as compared to the uncoated base material and increased the wear resistance up to 3 times.
Deceptive Sex: Rethinking Consent from the Gender Margins
Authors: Sharpe Alex 
Published: January 2025

This article argues that trans people who choose not to disclose, or who lie about, their gender history prior to sexual intimacy should not be prosecuted for sexual offences, at least not in the absence of a clear and express condition pertaining to cis status or biological sex. There are at least four ways of arriving at this outcome: by dispensing with the category of sexual deception; by rendering the category operative only where an express condition is laid down in advance of intimacy; by adopting a general theory of consent that uncouples trans deceptions from a conclusion of wrongness; or, finally, creating a legal exception in the case of trans people. After rejecting the first two approaches, the article considers three recent general accounts of consent offered by Chloë Kennedy, Emily Tilton and Jonathan Jenkins Ichikawa, and Victor Tadros. Ultimately, the article argues that the fourth approach offers the best way forward, drawing significantly on Tadros's theory to this end. In making the case, the article seeks to balance complainant sexual autonomy against three countervailing moral considerations: trans people's privacy, epistemic injustice, and the impact of deception on gender equality.
The eyes have it: Alcohol‐induced eye movement impairment and perceived impairment in older adults with and without alcohol use disorder
Authors: Didier Nathan , Cao Dingcai , King Andrea C. 
Published: January 2025

AbstractBackgroundWhile alcohol has been shown to impair eye movements in young adults, little is known about alcohol‐induced oculomotor impairment in older adults with longer histories of alcohol use. Here, we examined whether older adults with chronic alcohol use disorder (AUD) exhibit more acute tolerance than age‐matched light drinkers (LD), evidenced by less alcohol‐induced oculomotor impairment and perceived impairment.MethodTwo random‐order, double‐blinded laboratory sessions with administration of alcohol (0.8 g/kg) or placebo. Participants (n = 117; 55 AUD, 62 LD) were 40–65 years of age. Eye tracking outcomes (pupil size, smooth pursuit gain, pro‐ and anti‐saccadic velocity, latency, and accuracy) were measured at baseline and repeated at peak and declining breath alcohol intervals. Participants rated their perceived impairment during rising and declining intervals.ResultsFollowing alcohol consumption, older adults with AUD (vs. LD) showed less impairment on smooth pursuit gain and reported lower perceived impairment, but both groups showed similar pupil dilation and impairment on saccadic measures.ConclusionsWhile alcohol impaired older adults with AUD less than LD in terms of their ability to track a predictably moving object (i.e., smooth pursuit), both drinking groups were equally sensitive to alcohol‐induced delays in reaction time, reductions in velocity, and deficits in accuracy to randomly appearing objects (i.e., saccade tasks). Thus, despite decades of chronic excessive drinking, older adults with AUD exhibited similar oculomotor tolerance on pro‐ and anti‐saccade eye movements relative to their light‐drinking counterparts. Given that these individuals also perceived less impairment during intoxication, they may be at risk for injury and harm when they engage in real‐life drinking bouts.