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Article
Publication date: 28 January 2020

Yuan-Min Lin, Hsuan Chen, Chih-Hsin Lin, Pin-Ju Huang and Shyh-Yuan Lee

The purpose of this study is to develop resin composite materials composed of polycaprolactone (PCL) acrylates and hydroxyapatite (HA) nanoparticles for ultraviolet…

Abstract

Purpose

The purpose of this study is to develop resin composite materials composed of polycaprolactone (PCL) acrylates and hydroxyapatite (HA) nanoparticles for ultraviolet digital light projection (DLP) three-dimensional (3D) printing technique.

Design/methodology/approach

Two PCL-based triacrylates, namely, glycerol-3 caprolactone-triacrylate (Gly-3CL-TA) and glycerol-6 caprolactone-triacrylate (Gly-6CL-TA) were synthesized from ring-opening polymerization of ε-caprolacton monomer in the presence of glycerol and then acrylation was performed using acryloyl chloride. 3D printing resins made of Gly-3CL-TA or Gly-6CL-TA, 5% HA and 3% of photoinitiator 2,4,6-Trimethylbenzoyl-diphenyl-phosphineoxide were then formulated. The surface topography, surface element composition, flexural strength, flexural modulus, cytotoxicity and degradation of the PCL-based scaffolds were then characterized.

Findings

Resin composite composed of Gly-3CL-TA or Gly-6CL-TA and 5% (w/w) of HA can be printed by 405 nm DLP 3D printers. The former has lower viscosity and thus can form a more uniform layer-by-layer structure, while the latter exhibited a higher flexural strength and modulus after being printed. Both composite materials are non-cytotoxic and degradable.

Originality/value

This study provides a direction of the formulation of environment-friendly resin composite for DLP 3D printing. Both resin composites have huge potential in tissue engineering applications.

Details

Rapid Prototyping Journal, vol. 26 no. 5
Type: Research Article
ISSN: 1355-2546

Keywords

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Article
Publication date: 9 April 2018

Hugh Worrall, Richard Schweizer, Ellen Marks, Lin Yuan, Chris Lloyd and Rob Ramjan

Support groups are a common feature of the mental health support engaged by carers and consumers. The purpose of this paper is to update and consolidate the knowledge and…

Abstract

Purpose

Support groups are a common feature of the mental health support engaged by carers and consumers. The purpose of this paper is to update and consolidate the knowledge and the evidence for the effectiveness of mental health support groups.

Design/methodology/approach

This paper is based on a systematic literature review of relevant databases around support groups for mental health. Support groups are defined as meetings of people with similar experiences, such as those defined as carers of a person living with a mental illness or a person living with a mental illness. These meetings aim to provide support and companionship to one another.

Findings

The results show that there is a consistent pattern of evidence, over a long period of time, which confirms the effectiveness of mental health support groups for carers and people living with mental illness. There is strong, scientifically rigorous evidence which shows the effectiveness of professionally facilitated, family-led support groups, psychoeducation carers support groups, and professionally facilitated, program-based support groups for people living with mental illness.

Research limitations/implications

This research implies the use of support groups is an important adjunct to the support of carers and people with mental illness, including severe mental illness.

Originality/value

This research brings together a range of studies indicating the usefulness of support groups as an adjunct to mental health therapy.

Details

Mental Health and Social Inclusion, vol. 22 no. 2
Type: Research Article
ISSN: 2042-8308

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Article
Publication date: 2 January 2018

Wei-Ting Chang, Huang-Jan Hsu, Cho-Pei Jiang, Shyh-Yuan Lee and Yuan-Min Lin

The aim of this paper is to examine the effects of light controlling system that combined high refractive particles (n-TiO2 [titanium dioxide – TiO2]) and tartrazine lake…

Abstract

Purpose

The aim of this paper is to examine the effects of light controlling system that combined high refractive particles (n-TiO2 [titanium dioxide – TiO2]) and tartrazine lake dye (TL dye) on thickness, flexural strength, flexural modulus and surface details of the 3D-printed resin.

Design/methodology/approach

Influences of different concentrations of n-TiO2 and TL dye in light-cured resin formulations for 3D printing (3DP) application were evaluated, including curing thickness, flexural strength and surface details under scanning electron microscopy.

Findings

The polymerization thickness of samples containing both n-TiO2 and TL dye was lower compared to samples with TL dye solely. Samples containing more n-TiO2 and more TL dye exhibited lower flexural strength and modulus. Ramp models showed that for samples containing 1 per cent TL dye, when their n-TiO2 content increased from 1 to 5 per cent, surface laminate structures became sharper. However, when the TL dye content doubled to 2 per cent, the surface laminate structures were indefinite compared to 1 per cent TL dye-containing counterparts.

Originality value

In visible-light 3DP, light controlling system in cooperate dye with high refractive particles provides better energy distribution and scattering control. High refractive particles, dyes and light exposure time had influenced the surface resolution and mechanical properties of the 3DP products.

Details

Rapid Prototyping Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1355-2546

Keywords

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Article
Publication date: 4 November 2020

Yi-Chun Chang, Kuan-Ting Lai, Seng-Cho T. Chou, Wei-Chuan Chiang and Yuan-Chen Lin

Telecommunication (telecom) fraud is one of the most common crimes and causes the greatest financial losses. To effectively eradicate fraud groups, the key fraudsters must…

Abstract

Purpose

Telecommunication (telecom) fraud is one of the most common crimes and causes the greatest financial losses. To effectively eradicate fraud groups, the key fraudsters must be identified and captured. One strategy is to analyze the fraud interaction network using social network analysis. However, the underlying structures of fraud networks are different from those of common social networks, which makes traditional indicators such as centrality not directly applicable. Recently, a new line of research called deep random walk has emerged. These methods utilize random walks to explore local information and then apply deep learning algorithms to learn the representative feature vectors. Although effective for many types of networks, random walk is used for discovering local structural equivalence and does not consider the global properties of nodes.

Design/methodology/approach

The authors proposed a new method to combine the merits of deep random walk and social network analysis, which is called centrality-guided deep random walk. By using the centrality of nodes as edge weights, the authors’ biased random walks implicitly consider the global importance of nodes and can thus find key fraudster roles more accurately. To evaluate the authors’ algorithm, a real telecom fraud data set with around 562 fraudsters was built, which is the largest telecom fraud network to date.

Findings

The authors’ proposed method achieved better results than traditional centrality indices and various deep random walk algorithms and successfully identified key roles in a fraud network.

Research limitations/implications

The study used co-offending and flight record to construct a criminal network, more interpersonal relationships of fraudsters, such as friendships and relatives, can be included in the future.

Originality/value

This paper proposed a novel algorithm, centrality-guided deep random walk, and applied it to a new telecom fraud data set. Experimental results show that the authors’ method can successfully identify the key roles in a fraud group and outperform other baseline methods. To the best of the authors’ knowledge, it is the largest analysis of telecom fraud network to date.

Details

Data Technologies and Applications, vol. 55 no. 1
Type: Research Article
ISSN: 2514-9288

Keywords

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Article
Publication date: 10 February 2020

Chih-Hsuan Huang and Yuan-Chen Lin

Hinged on the transformative service paradigm, this study investigates the relationships among employee acting, customer-perceived service quality, customer emotional…

Abstract

Purpose

Hinged on the transformative service paradigm, this study investigates the relationships among employee acting, customer-perceived service quality, customer emotional well-being, and their value co-creation. Feelings of gratitude among customers may moderate the effect of perceived service quality on their emotional well-being (i.e., positive and negative affects).

Design/methodology/approach

A pair study using a structural equation model was conducted to gather data from a financial service organization in a rural area.

Findings

The results show how customers perceive service quality positively impacts their emotional well-being immediately after receiving a financial service, which in turn affects their value co-creation. Hence, feelings of gratitude moderate the effect of perceived service quality on customer positive affect.

Originality/value

This study responds to calls for more studies on how service interactions influence customer well-being in the financial services context. This study is among the few that examine moderation effects of customer feelings of gratitude on their emotional well-being to explain why a positive emotion might sway their short-term well-being.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 33 no. 1
Type: Research Article
ISSN: 1355-5855

Keywords

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Book part
Publication date: 30 May 2018

Francesco Moscone, Veronica Vinciotti and Elisa Tosetti

This chapter reviews graphical modeling techniques for estimating large covariance matrices and their inverse. The chapter provides a selective survey of different models…

Abstract

This chapter reviews graphical modeling techniques for estimating large covariance matrices and their inverse. The chapter provides a selective survey of different models and estimators proposed by the graphical modeling literature and offers some practical examples where these methods could be applied in the area of health economics.

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Article
Publication date: 13 August 2018

Sushant Singh and Debashis Khan

As the normality concept for frictional dilatant material has a serious drawback, the key feature in this numerical study is that the material here is characterized by…

Abstract

Purpose

As the normality concept for frictional dilatant material has a serious drawback, the key feature in this numerical study is that the material here is characterized by elastic-viscoplastic constitutive relation with plastic non-normality effect for two different hardness functions. The paper aims to discuss this issue.

Design/methodology/approach

Quasi-static, mode I plane strain crack tip fields have been investigated for a plastically compressible isotropic hardening–softening–hardening material under small-scale yielding conditions. Finite deformation, finite element calculations are carried out in front of the crack with a blunt notch. For comparison purpose a few results of a hardening material are also provided.

Findings

The present numerical calculations show that crack tip deformation and the field quantities near the tip significantly depend on the combination of plastic compressibility and slope of the hardness function. Furthermore, the consideration of plastic non-normality flow rule makes the crack tip deformation as well as the field quantities significantly different as compared to those results when the constitutive equation exhibits plastic normality.

Originality/value

To the best of the authors’ knowledge, analyses, related to the constitutive relation exhibiting plastic non-normality in the context of plastic compressibility and softening (or softening hardening) on the near tip fields, are not explored in the literature.

Details

International Journal of Structural Integrity, vol. 9 no. 4
Type: Research Article
ISSN: 1757-9864

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Article
Publication date: 21 January 2020

Ryma Zineb Badaoui, Mourad Boudhar and Mohammed Dahane

This paper studies the preemptive scheduling problem of independent jobs on identical machines. The purpose of this paper is to minimize the makespan under the imposed…

Abstract

Purpose

This paper studies the preemptive scheduling problem of independent jobs on identical machines. The purpose of this paper is to minimize the makespan under the imposed constraints, namely, the ones that relate the transportation delays which are required to transport a preempted job from one machine to another. This study considers the case when the transportation delays are variable.

Design/methodology/approach

The contribution is twofold. First, this study proposes a new linear programming formulation in real and binary decision variables. Then, this study proposes and implements a solution strategy, which consists of two stages. The goal of the first stage is to obtain the best machines order using a local search strategy. For the second stage, the objective is to determine the best possible sequence of jobs. To solve the preemptive scheduling problem with transportation delays, this study proposes a heuristic and two metaheuristics (simulated annealing and variable neighborhood search), each with two modes of evaluation.

Findings

Computational experiments are presented and discussed on randomly generated instances.

Practical implications

The study has implications in various industrial environments when the preemption of jobs is allowed.

Originality/value

This study proposes a new linear programming formulation for the problem with variable transportation delays as well as a corresponding heuristic and metaheuristics.

Details

Journal of Modelling in Management, vol. 15 no. 3
Type: Research Article
ISSN: 1746-5664

Keywords

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Article
Publication date: 17 June 2009

Nitin Pangarkar and Lin Yuan

In this study, we examine the location strategies (e.g., developing versus developed countries) of Chinese multinational firms (Pantzalis 2001). We argue that domestic…

Abstract

In this study, we examine the location strategies (e.g., developing versus developed countries) of Chinese multinational firms (Pantzalis 2001). We argue that domestic firm‐specific ownership advantages of a firm, in the form of larger size and higher degree of diversification, will induce internationalization into developed countries rather than into developing countries. We also predict that internationalization into developed countries will help performance, but internationalization into developing countries will hurt performance. Based on an analysis of data on 154 Chinese‐listed MNCs from 1992 to 2002, we find support for our predictions.

Details

Multinational Business Review, vol. 17 no. 2
Type: Research Article
ISSN: 1525-383X

Keywords

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Article
Publication date: 17 June 2009

Tao (Tony) Gao and Talin E. Sarraf

This paper explores the major factors influencing multinational companies’ (MNCs) propensity to change the level of resource commitments during financial crises in…

Abstract

This paper explores the major factors influencing multinational companies’ (MNCs) propensity to change the level of resource commitments during financial crises in emerging markets. Favorable changes in the host government policies, market demand, firm strategy, and infrastructural conditions are hypothesized to influence the MNCs’ decision to increase resource commitments during a crisis. The hypotheses are tested with data collected in a survey of 82 MNCs during the recent Argentine financial crisis (late 2002). While all the above variables are considered by the respondents as generally important reasons for increasing resource commitments during a crisis, only favorable changes in government policies significantly influence MNCs’ decisions to change the level of resource commitments during the Argentine financial crisis. The research, managerial implications, and policy‐making implications are discussed.

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