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Article
Publication date: 2 March 2021

Lishuang Wang, Fan Zhang, Zehao Wang and Qiu Tan

The purpose of this paper is to propose and verify the influence mechanism of various kinds of infrastructure investment on farmers' income in rural China. It further analyzes the…

927

Abstract

Purpose

The purpose of this paper is to propose and verify the influence mechanism of various kinds of infrastructure investment on farmers' income in rural China. It further analyzes the effect of rural infrastructure investment on rural economic transformation.

Design/methodology/approach

This research is used to GMM model to verify the relationship between infrastructure investment and farmers' income; furthermore, the mediating effect model is used to verify the linear conduction mechanism, and panel threshold model is used to verify the nonlinear conduction mechanism.

Findings

The results show that: (1) Rural infrastructure investment can indirectly affect farmers' income by changing land efficiency and land use structure; (2) The impact of infrastructure investment on farmers' income is nonlinear; (3) Increasing infrastructural investment of productivity and transportation will contribute to accelerating the transformation of rural economy.

Originality/value

This paper expands the research on the impact of rural infrastructure investment on farmers' income; it analyzes the inner mechanism and enriches the research contents in this field; the influence of various infrastructure investment on rural economic transformation is further discussed; it provides policy suggestions and theoretical basis for accelerating the transformation of China's rural economy.

Details

China Agricultural Economic Review, vol. 14 no. 1
Type: Research Article
ISSN: 1756-137X

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Article
Publication date: 25 December 2023

Guodong Sa, Haodong Bai, Zhenyu Liu, Xiaojian Liu and Jianrong Tan

The assembly simulation in tolerance analysis is one of the most important steps for the tolerance design of mechanical products. However, most assembly simulation methods are…

183

Abstract

Purpose

The assembly simulation in tolerance analysis is one of the most important steps for the tolerance design of mechanical products. However, most assembly simulation methods are based on the rigid body assumption, and those assembly simulation methods considering deformation have a poor efficiency. This paper aims to propose a novel efficient and precise tolerance analysis method based on stable contact to improve the efficiency and reliability of assembly deformation simulation.

Design/methodology/approach

The proposed method comprehensively considers the initial rigid assembly state, the assembly deformation and the stability examination of assembly simulation to improve the reliability of tolerance analysis results. The assembly deformation of mating surfaces was first calculated based on the boundary element method with optimal initial assembly state, then the stability of assembly simulation results was assessed by the density-based spatial clustering of applications with noise algorithm to improve the reliability of tolerance analysis. Finally, combining the small displacement torsor theory, the tolerance scheme was statistically analyzed based on sufficient samples.

Findings

A case study of a guide rail model demonstrated the efficiency and effectiveness of the proposed method.

Research limitations/implications

The present study only considered the form error when generating the skin model shape, and the waviness and the roughness of the matching surface were not considered.

Originality/value

To the best of the authors’ knowledge, the proposed method is original in the assembly simulation considering stable contact, which can effectively ensure the reliability of the assembly simulation while taking into account the computational efficiency.

Details

Robotic Intelligence and Automation, vol. 44 no. 1
Type: Research Article
ISSN: 2754-6969

Keywords

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Article
Publication date: 2 August 2021

Modupeola Dada, Patricia Popoola and Ntombi Mathe

This study aims to review the recent advancements in high entropy alloys (HEAs) called high entropy materials, including high entropy superalloys which are current potential…

2134

Abstract

Purpose

This study aims to review the recent advancements in high entropy alloys (HEAs) called high entropy materials, including high entropy superalloys which are current potential alternatives to nickel superalloys for gas turbine applications. Understandings of the laser surface modification techniques of the HEA are discussed whilst future recommendations and remedies to manufacturing challenges via laser are outlined.

Design/methodology/approach

Materials used for high-pressure gas turbine engine applications must be able to withstand severe environmentally induced degradation, mechanical, thermal loads and general extreme conditions caused by hot corrosive gases, high-temperature oxidation and stress. Over the years, Nickel-based superalloys with elevated temperature rupture and creep resistance, excellent lifetime expectancy and solution strengthening L12 and γ´ precipitate used for turbine engine applications. However, the superalloy’s density, low creep strength, poor thermal conductivity, difficulty in machining and low fatigue resistance demands the innovation of new advanced materials.

Findings

HEAs is one of the most frequently investigated advanced materials, attributed to their configurational complexity and properties reported to exceed conventional materials. Thus, owing to their characteristic feature of the high entropy effect, several other materials have emerged to become potential solutions for several functional and structural applications in the aerospace industry. In a previous study, research contributions show that defects are associated with conventional manufacturing processes of HEAs; therefore, this study investigates new advances in the laser-based manufacturing and surface modification techniques of HEA.

Research limitations/implications

The AlxCoCrCuFeNi HEA system, particularly the Al0.5CoCrCuFeNi HEA has been extensively studied, attributed to its mechanical and physical properties exceeding that of pure metals for aerospace turbine engine applications and the advances in the fabrication and surface modification processes of the alloy was outlined to show the latest developments focusing only on laser-based manufacturing processing due to its many advantages.

Originality/value

It is evident that high entropy materials are a potential innovative alternative to conventional superalloys for turbine engine applications via laser additive manufacturing.

Details

World Journal of Engineering, vol. 20 no. 1
Type: Research Article
ISSN: 1708-5284

Keywords

Available. Open Access. Open Access
Article
Publication date: 2 January 2024

Pamela David, Intan S. Zulkafli, Rasheeda Mohd Zamin, Snehlata Samberkar, Kah Hui Wong, Murali Naidu and Srijit Das

The teaching and learning of anatomy has experienced a significant paradigm shift. The present study assessed the level of knowledge in anatomy in medical postgraduate students…

559

Abstract

Purpose

The teaching and learning of anatomy has experienced a significant paradigm shift. The present study assessed the level of knowledge in anatomy in medical postgraduate students and explored the impact of interventions in the form of anatomical videos on knowledge obtained. An awareness of the importance of human anatomy for clinical skills was created to ensure a certain level of competence be achieved by the end of the anatomy course.

Design/methodology/approach

Postgraduate medical students were recruited from various specialties on voluntary basis. The first step was to conduct a preliminary screening exam to determine the level of anatomical knowledge. The students were then divided into two groups at random, one of which received no intervention (the control group), and the other of which watched the videos with content that was pertinent to the practical demonstrations (intervention). To assess the effects of the video intervention, a post-test was administered to all students.

Findings

Both spot tests (SPOTs) and short answer question (SAQ) components for scores of all the regions from the intervention groups were comparable to the scores obtained by the post-test control group, although the findings were not significant (p > 0.05). However, the intervention group from the abdomen (ABD) region did perform significantly better (p < 0.05) than the screening test score.

Originality/value

The results of the research study imply that interventions like anatomical videos can bridge the postgraduate trainee’s anatomy knowledge gap in a practical method which will immensely help in increasing their knowledge.

Details

Arab Gulf Journal of Scientific Research, vol. 42 no. 4
Type: Research Article
ISSN: 1985-9899

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Article
Publication date: 4 July 2023

Maojian Chen, Xiong Luo, Hailun Shen, Ziyang Huang, Qiaojuan Peng and Yuqi Yuan

This study aims to introduce an innovative approach that uses a decoder with multiple layers to accurately identify Chinese nested entities across various nesting depths. To…

218

Abstract

Purpose

This study aims to introduce an innovative approach that uses a decoder with multiple layers to accurately identify Chinese nested entities across various nesting depths. To address potential human intervention, an advanced optimization algorithm is used to fine-tune the decoder based on the depth of nested entities present in the data set. With this approach, this study achieves remarkable performance in recognizing Chinese nested entities.

Design/methodology/approach

This study provides a framework for Chinese nested named entity recognition (NER) based on sequence labeling methods. Similar to existing approaches, the framework uses an advanced pre-training model as the backbone to extract semantic features from the text. Then a decoder comprising multiple conditional random field (CRF) algorithms is used to learn the associations between granularity labels. To minimize the need for manual intervention, the Jaya algorithm is used to optimize the number of CRF layers. Experimental results validate the effectiveness of the proposed approach, demonstrating its superior performance on both Chinese nested NER and flat NER tasks.

Findings

The experimental findings illustrate that the proposed methodology can achieve a remarkable 4.32% advancement in nested NER performance on the People’s Daily corpus compared to existing models.

Originality/value

This study explores a Chinese NER methodology based on the sequence labeling ideology for recognizing sophisticated Chinese nested entities with remarkable accuracy.

Details

International Journal of Web Information Systems, vol. 19 no. 1
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 22 August 2023

Diego A. de J. Pacheco, Rodrigo Veleda Caetano, Samuel Vinícius Bonato, Bruno Miranda dos Santos and Wagner Pietrobelli Bueno

Small retail stores in the luxury market face significant challenges due to fluctuations in market demand. This task turns challenging as it requires effectively coordinating and…

430

Abstract

Purpose

Small retail stores in the luxury market face significant challenges due to fluctuations in market demand. This task turns challenging as it requires effectively coordinating and translating customer needs into specific requirements that align with retail goals and available resources. However, limited empirical research exists investigating how managers can address service value and quality attributes in small retail stores. This article aims to bridge this gap by investigating the role of quality function deployment (QFD) in improving market and quality requirements management in small retail stores.

Design/methodology/approach

Based on the case study, a customer survey was initially conducted to gather information on critical characteristics valued in the luxury retail segment. QFD was used to assist the company in identifying and prioritizing key quality attributes to meet customer requirements effectively.

Findings

The findings demonstrate that implementing QFD in small luxury retail stores empowers managers to identify previously neglected product and service quality aspects. The article shows that QFD informs organizational adaptations that align with the demands of the retail market, leading to an improved ability to meet customer expectations and enhance customer value through the development of enhanced products and services. The study showcases the efficacy of the tested methodology in effectively capturing and prioritizing both tangible and intangible customer needs in retail.

Practical implications

Findings offer valuable insights to retail managers of small luxury stores, providing actionable market-oriented strategies. By implementing the recommended practices, managers can improve the store’s competitiveness and better cater to the customer base.

Originality/value

This study contributes to bridging persistent knowledge gaps by addressing the unique context of small luxury retail stores and introducing the application of QFD in this setting. The insights gained from this research are relevant to both retailing and quality management literature. Considering the growing prevalence of transformations in the retail industry, the study provides practical implications for retail managers in effectively navigating these changes.

Details

Benchmarking: An International Journal, vol. 31 no. 8
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 20 July 2021

Qingxia Wang, Robert Faff and Min Zhu

More studies have investigated the relation between option measures and stock returns during scheduled corporate events. This study adds to the literature and investigates the…

206

Abstract

Purpose

More studies have investigated the relation between option measures and stock returns during scheduled corporate events. This study adds to the literature and investigates the informational role of options concerning stock returns following unscheduled corporate news events. The authors focus on individual analysts' recommendation changes rather than consensus revisions, as the recommendation consensus might discard a large amount of potentially valuable information in the aggregation process.

Design/methodology/approach

Based on the econometric model, the authors follow Bakshi et al. (2003) to construct the model-free option implied measures. The authors further decompose the implied option variance into upside and downside components. In such a way, the different informational roles of call and put options can be distinguished. A variety of regression analyses are conducted to examine the predictive power of option implied measures, and the ordered probit model is used to test the tipping hypothesis of analyst recommendations.

Findings

This study’s results show that the option market impounds the “valuable” firm-specific news; thus, the pre-event option market is strongly related to stock returns around recommendations even though recommendation changes are largely “unscheduled”. At the same time, these results suggest that upside (good) and downside (bad) implied volatilities contain distinctive information on subsequent stock returns.

Originality/value

This study provides new evidence that an increase in upside (downside) volatility around analyst recommendation changes would increase the probability that analysts upgrade (downgrade) the stock. The findings provide implications for investors and risk managers in making investment decisions.

Details

International Journal of Managerial Finance, vol. 18 no. 3
Type: Research Article
ISSN: 1743-9132

Keywords

Available. Open Access. Open Access
Article
Publication date: 5 December 2022

Carlos Alberto Rojas Trejos, Jose D. Meisel and Wilson Adarme Jaimes

The purpose of this paper is to review the relevant literature in order to identify trends and suggest some possible directions for future research in the framework of…

3838

Abstract

Purpose

The purpose of this paper is to review the relevant literature in order to identify trends and suggest some possible directions for future research in the framework of humanitarian aid distribution logistics with accessibility constraints.

Design/methodology/approach

The authors developed a systematic literature review to study the state of the art on distribution logistics considering accessibility constraints. The electronic databases used were Web of science, Scopus, Science Direct, Jstor, Emerald, EBSCO, Scielo and Redalyc. As a result, 49 articles were reviewed in detail.

Findings

This study identified some gaps, as well as some research opportunities. The main conclusions are the need for further studies on the interrelationships and hierarchies of multiple actors, explore intermodality, transshipment options and redistribution relief goods to avoid severe shortages in some nodes and excess inventory in others, studies of the vulnerability of transport networks, correlational analysis of road failures and other future lines.

Research limitations/implications

The bibliography is limited to peer-reviewed academic journals due to their academic relevance, accessibility and ease of searching. Most of the studies included in the review were conducted in high-income countries, which may limit the generalizability of the results to low-income countries. However, the authors focused on databases covering important journals on humanitarian logistics.

Originality/value

This paper contextualises and synthesises research into humanitarian aid distribution logistics with accessibility constrains, highlights key themes and suggests areas for further research.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. 13 no. 1
Type: Research Article
ISSN: 2042-6747

Keywords

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Article
Publication date: 29 March 2022

Yonggang Zhao, Xiaodong Yang, Changhai Zhai and Weiping Wen

The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators.

640

Abstract

Purpose

The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators.

Design/methodology/approach

To achieve this aim, construction of the urban seismic resilience assessment indicators system was conducted and 20 indicators covering five dimensions, namely building and lifeline infrastructure, environment, society, economy and institution were identified. Following this, this study used evidence fusion theory and intuitionistic fuzzy sets to process the information from experts then developed the fuzzy total interpretive structure model.

Findings

A total of 20 urban seismic resilience assessment indicators are reconstructed into a hierarchical and visual system structure including five levels. Indicators in the bottom level including debris flow risk, landslide risk, earthquake experience and demographic characteristics are fundamental indicators that significantly impact other indicators. Indicators in the top level including open space, gas system and public security are direct indicators influenced more by other indicators. Other indicators are in middle levels. Results of MICMAC analysis visually categorize these indicators into independent indicators, linkage indicators, autonomous indicators and dependent indicators according to driving power and dependence.

Originality/value

This paper attempts to explore relationships of urban seismic resilience assessment indicators with the interpretive structural model method. Additionally, Fuzzy total interpretive structure model is developed combined with evidence fusion theory and intuitionistic fuzzy sets, which is the extension of total interpretive structure model. Research results can assist the analytic network process method in assessing urban seismic resilience in future research.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 8
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 31 January 2025

Jinnuo Zhang, Ran He, Konstantinos P. Baxevanakis and Andrew Gleadall

This paper aims to investigate the potential for 4D deformation of the smallest building blocks of the material extrusion additive manufacturing (MEAM) process: single extrudates…

27

Abstract

Purpose

This paper aims to investigate the potential for 4D deformation of the smallest building blocks of the material extrusion additive manufacturing (MEAM) process: single extrudates produced with a single material. In contrast to previous 4D printing approaches where property-variations are realised across multiple layers or with complex composites, this study hypothesises that residual strain varies from top-to-bottom within a single printed extrudate and that this offers an opportunity to achieve controllable 4D printing with the smallest possible resolution (single lines in a single layer).

Design/methodology/approach

The influences of bed temperature, printing temperature, printing speed, extrusion width, extrusion thickness and activation temperature are quantified in terms of residual strain and 4D curvature.

Findings

An almost fourfold variation in curvature was achieved, printing speed and layer thickness greatly affected 4D deformation: the maximum curvature was increased by >600% compared to the minimum curvature when varying printing speed. In addition to rigorous parametric characterisation, a case study demonstrates the 4D deformation of a flat single-layer lattice into a 3D self-formed stent structure comprised of intricate single-extrudate struts. A separate case study demonstrates the resilience of the method by showing results to translate to alternative materials, with alternative printing hardware and with a different 4D activation procedure.

Originality/value

This study successfully proves a new way to achieve intricate 3D structures with the MEAM process, which would be impossible without 4D deformation due to their intricacy and the need for support material. The findings are also relevant to research into undesired warping due to the quantification of residual strain.

Details

Rapid Prototyping Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2546

Keywords

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