Y.T. Chui and Gail Taylor
This paper discusses recent research into the role of interactive fashion in human communication. The focus is on sound and the possibilities of how fashion can interact with…
Abstract
This paper discusses recent research into the role of interactive fashion in human communication. The focus is on sound and the possibilities of how fashion can interact with sound to contribute to a new way of initiating social interaction and expressing one's emotions. Innovation for the application of sound in fashion design has been undertaken in order to explore the creative possibilities of developing a sound-fashion-human interactive system. A series of experiments have been conducted and innovative prints are designed. A fashion collection has then been designed and presented in the form of illustrations. This realizes the processes of interpreting human-sound-fashion interaction in fashion, highlights the feasibility of application to contemporary design and facilitates further analysis of its contribution towards the development of the fashion industry. The feasibility of applying interactive fashion in a collection is evaluated by using a mixture of methods, such as questionnaire survey and self evaluation. Finally, predictions about the potential influence of the experimental work on the future fashion industry are made.
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Claudia Foroni, Eric Ghysels and Massimiliano Marcellino
The development of models for variables sampled at different frequencies has attracted substantial interest in the recent literature. In this article, we discuss classical and…
Abstract
The development of models for variables sampled at different frequencies has attracted substantial interest in the recent literature. In this article, we discuss classical and Bayesian methods of estimating mixed-frequency VARs, and use them for forecasting and structural analysis. We also compare mixed-frequency VARs with other approaches to handling mixed-frequency data.
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Rasidah Mohd-Rashid, Waqas Mehmood, Chai-Aun Ooi, Siti Zakiah Che Man and Chui Zi Ong
Rule of law is essential in reducing corruption in a country. This study aims to investigate the factors contributing to corruption in 41 of the most competitive countries in the…
Abstract
Purpose
Rule of law is essential in reducing corruption in a country. This study aims to investigate the factors contributing to corruption in 41 of the most competitive countries in the Asia-Pacific region by focusing on judicial effectiveness, property rights and government integrity. The moderating role of regulatory quality was also considered in the attempt to explain the association among rule of law and corruption.
Design/methodology/approach
This study used pooled ordinary least squares regression and generalized method of moments-dynamic panel for the robustness test on data of 41 Asia-Pacific countries spanning from 2013 to 2021.
Findings
Property rights and government integrity were found to be negatively significant in explaining corruption. In contrast, the interaction between rule of law and regulatory quality had a significant positive association with corruption. The findings bring to light Asia-Pacific countries’ need for more effective control of corruption.
Practical implications
The authorities should work towards enhancing the countries’ image as corruption-free nations by creating a stable economic and political environment and preserving macroeconomic stability through strengthened rule of law.
Originality/value
Previous research looked at The Association of Southeast Asian Nations and South Asian countries, but little attention was given to Asia-Pacific countries in examining the relationship between rule of law and corruption.
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Maria Grazia Pittau, Roberto Zelli and Saida Ismailakhunova
The authors propose a framework to estimate the probability of being poor in a dynamic setting based on a large information set that includes individual characteristics and…
Abstract
The authors propose a framework to estimate the probability of being poor in a dynamic setting based on a large information set that includes individual characteristics and macro-economic variables. The joint inclusion of personal characteristics along with contextual factors allows separation of idiosyncratic shocks from aggregate shocks affecting poverty. The authors combine data from different cross-sectional surveys and fit a dynamic logistic hierarchical model within a Bayesian framework using standard Markov chain Monte Carlo techniques. The authors’ approach is exemplified by estimating household poverty status in Kyrgyz Republic as a function of time, regions, country, regional level variables and household level socio-demographic characteristics.
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Chuyu Tang, Hao Wang, Genliang Chen and Shaoqiu Xu
This paper aims to propose a robust method for non-rigid point set registration, using the Gaussian mixture model and accommodating non-rigid transformations. The posterior…
Abstract
Purpose
This paper aims to propose a robust method for non-rigid point set registration, using the Gaussian mixture model and accommodating non-rigid transformations. The posterior probabilities of the mixture model are determined through the proposed integrated feature divergence.
Design/methodology/approach
The method involves an alternating two-step framework, comprising correspondence estimation and subsequent transformation updating. For correspondence estimation, integrated feature divergences including both global and local features, are coupled with deterministic annealing to address the non-convexity problem of registration. For transformation updating, the expectation-maximization iteration scheme is introduced to iteratively refine correspondence and transformation estimation until convergence.
Findings
The experiments confirm that the proposed registration approach exhibits remarkable robustness on deformation, noise, outliers and occlusion for both 2D and 3D point clouds. Furthermore, the proposed method outperforms existing analogous algorithms in terms of time complexity. Application of stabilizing and securing intermodal containers loaded on ships is performed. The results demonstrate that the proposed registration framework exhibits excellent adaptability for real-scan point clouds, and achieves comparatively superior alignments in a shorter time.
Originality/value
The integrated feature divergence, involving both global and local information of points, is proven to be an effective indicator for measuring the reliability of point correspondences. This inclusion prevents premature convergence, resulting in more robust registration results for our proposed method. Simultaneously, the total operating time is reduced due to a lower number of iterations.
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This paper aims to propose a novel approach based on uniform scale-3 Haar wavelets for unsteady state space fractional advection-dispersion partial differential equation which…
Abstract
Purpose
This paper aims to propose a novel approach based on uniform scale-3 Haar wavelets for unsteady state space fractional advection-dispersion partial differential equation which arises in complex network, fluid dynamics in porous media, biology, chemistry and biochemistry, electrode – electrolyte polarization, finance, system control, etc.
Design/methodology/approach
Scale-3 Haar wavelets are used to approximate the space and time variables. Scale-3 Haar wavelets converts the problems into linear system. After that Gauss elimination is used to find the wavelet coefficients.
Findings
A novel algorithm based on Haar wavelet for two-dimensional fractional partial differential equations is established. Error estimation has been derived by use of property of compactly supported orthonormality. The correctness and effectiveness of the theoretical arguments by numerical tests are confirmed.
Originality/value
Scale-3 Haar wavelets are used first time for these types of problems. Second, error analysis in new work in this direction.
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Zulfiqar Ali Imran, Woei Chyuan Wong and Rusmawati Binti Ismail
Momentum returns are considered an anomaly in the finance literature as their existence cannot be fully explained under the asset pricing paradigm. This study attempts to shed…
Abstract
Purpose
Momentum returns are considered an anomaly in the finance literature as their existence cannot be fully explained under the asset pricing paradigm. This study attempts to shed more light on this anomaly by investigating the determinants of momentum returns.
Design/methodology/approach
The panel data technique is applied to the sample of 40 countries worldwide from 1996 to 2018. The authors use the panel-corrected standard error (PCSE) model to estimate the coefficient of World Governance Indicators (WGI), whereas the fixed effect model is used to determine the coefficient for corporate governance indicators (CGIs). The choice of PCSE estimation methods is guided by the fact that WGI variables are subjected to serial correlation, heteroskedasticity and cross-sectional dependence problems while CGI variables are not. Furthermore, a composite WGI index is constructed using principal component analysis (PCA).
Findings
Regression analysis shows a negative and significant relationship between WGI index and momentum returns. The negative coefficient value of WGI supports the prediction of the overreaction hypothesis, which postulates a lower behavioral bias in the market with high governance quality. Breaking down of the WGI by their six indicators reveals that four of the indicators (control over corruption, government effectiveness, stability and avoidance of violence) are negative statistically significant with momentum returns while two indicators are not significant. As for CGIs, only one (strength of investor protection) of the four tested indicators is negative and significantly related to momentum returns.
Originality/value
The study fills the gap in economic literature by highlighting the association between governance quality at the country (WGI) and firm level (CGI) on stock momentum returns.
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The purpose of this paper is to develop and apply accurate and original models to understand and analyze the effects of the fabrication temperatures on thermal-induced stress and…
Abstract
Purpose
The purpose of this paper is to develop and apply accurate and original models to understand and analyze the effects of the fabrication temperatures on thermal-induced stress and speed performance of nano positively doped metal oxide semiconductor (pMOS) transistors.
Design/methodology/approach
The speed performances of nano pMOS transistors depend strongly on the mobility of holes, which itself depends on the thermal-induced extrinsic stress σ. The author uses a finite volume method to solve the proposed system of partial differential equations needed to calculate the thermal-induced stress σ accurately.
Findings
The thermal extrinsic stress σ depends strongly on the thermal intrinsic stress σ0, thermal intrinsic strain ε0, elastic constants C11 and C12 and the fabrication temperatures. In literature, the effects of fabrication temperatures on C11 and C12 needed to calculate thermal-induced stress σ0 have been ignored. The new finding is that if the effects of fabrication temperatures on C11 and C12 are ignored, then, the values of stress σ0 and σ will be overestimated and, then, not accurate. Another important finding is that the speed performance of nano pMOS transistors will increase if the fabrication temperature of silicon-germanium films used as stressors is increased.
Practical implications
To predict correctly the thermal-induced stress and speed performance of nano pMOS transistors, the effects of fabrication temperatures on the elastic constants required to calculate the thermal-induced intrinsic stress σ0 should be taken into account.
Originality/value
There are three levels of originalities. The author considers the effects of the fabrication temperatures on extrinsic stress σ, intrinsic stress σ0 and elastic constants C11 and C12.
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Shashank Vadlamani and Arun C.O.
The purpose of this paper is to discuss about evaluating the integrals involving B-spline wavelet on the interval (BSWI), in wavelet finite element formulations, using Gauss…
Abstract
Purpose
The purpose of this paper is to discuss about evaluating the integrals involving B-spline wavelet on the interval (BSWI), in wavelet finite element formulations, using Gauss Quadrature.
Design/methodology/approach
In the proposed scheme, background cells are placed over each BSWI element and Gauss quadrature rule is defined for each of these cells. The nodal discretization used for BSWI WFEM element is independent to the selection of number of background cells used for the integration process. During the analysis, background cells of various lengths are used for evaluating the integrals for various combination of order and resolution of BSWI scaling functions. Numerical examples based on one-dimensional (1D) and two-dimensional (2D) plane elasto-statics are solved. Problems on beams based on Euler Bernoulli and Timoshenko beam theory under different boundary conditions are also examined. The condition number and sparseness of the formulated stiffness matrices are analyzed.
Findings
It is found that to form a well-conditioned stiffness matrix, the support domain of every wavelet scaling function should possess sufficient number of integration points. The results are analyzed and validated against the existing analytical solutions. Numerical examples demonstrate that the accuracy of displacements and stresses is dependent on the size of the background cell and number of Gauss points considered per background cell during the analysis.
Originality/value
The current paper gives the details on implementation of Gauss Quadrature scheme, using a background cell-based approach, for evaluating the integrals involved in BSWI-based wavelet finite element method, which is missing in the existing literature.
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Waqas Mehmood, Rasidah Mohd-Rashid, Chui Zi Ong and Yasir Abdullah Abbas
The objectives of this study are twofold. First, it intends to investigate the symmetric link between initial public offering (IPO) variability and the determinants of the stock…
Abstract
Purpose
The objectives of this study are twofold. First, it intends to investigate the symmetric link between initial public offering (IPO) variability and the determinants of the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment. Second, this study intends to examine the asymmetric link between IPO variability and the aforementioned determinants, namely the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment.
Design/methodology/approach
Data from 1992 to 2018 were gathered from the country of Pakistan in order to achieve the above objectives. Augmented Dickey–Fuller (ADF) and Phillips Perron (PP) unit root tests were employed to determine the data's stationarity properties. The Auto Regressive Distributive Lags (ARDL) model was utilized to examine the symmetric links, and the Non-Linear Auto Regressive Distributive Lag Model (NARDL) was employed to determine the asymmetric links. While the long-run co-integration was examined using the ARDL bound test, the short-run dynamics were tested using the error correction method (ECM).
Findings
The macroeconomic variables of the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment are found to pose significant short-run and long-run symmetric and asymmetric effects on IPO variability. These results indicate the significance of the aforementioned variables in enhancing IPO variability. The findings also demonstrate the typical reactions of inflation, GDP and FDI towards negative and positive shocks in IPO variability and inflation. This evidence implies that Pakistan's poor capital market development is reflected in the country's weak macroeconomic factors. At the same time, the reduced IPO variability in the country also reflects the lack of confidence among prospective issuers and investors due to Pakistan's weak macroeconomic indicators.
Originality/value
This is the first study of its kind to properly investigate the symmetric and asymmetric effects of the macroeconomic variables on Pakistan's IPO variability.