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Article
Publication date: 7 November 2023

Chunli Li, Liang Li, Yungming Cheng, Liang Xu and Guangming Yu

This paper aims to develop an efficient algorithm combining straightforward response surface functions with Monte Carlo simulation to conduct seismic reliability analysis in a…

90

Abstract

Purpose

This paper aims to develop an efficient algorithm combining straightforward response surface functions with Monte Carlo simulation to conduct seismic reliability analysis in a systematical way.

Design/methodology/approach

The representative slip surfaces are identified and based on to calibrate multiple response surface functions with acceptable accuracy. The calibrated response surfaces are used to determine the yield acceleration in Newmark sliding displacement analysis. Then, the displacement-based limit state function is adopted to conduct seismic reliability analysis.

Findings

The calibrated response surface functions have fairly good accuracy in predicting the yield acceleration in Newmark sliding displacement analysis. The seismic reliability is influenced by such factors as PGA, spatial variability and threshold value. The proposed methodology serves as an effective tool for geotechnical practitioners.

Originality/value

The multiple sources of a seismic slope response can be effectively determined using the multiple response surface functions, which are easily implemented within geotechnical engineering.

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Book part
Publication date: 24 April 2023

J. Isaac Miller

Transient climate sensitivity relates total climate forcings from anthropogenic and other sources to surface temperature. Global transient climate sensitivity is well studied, as…

Abstract

Transient climate sensitivity relates total climate forcings from anthropogenic and other sources to surface temperature. Global transient climate sensitivity is well studied, as are the related concepts of equilibrium climate sensitivity (ECS) and transient climate response (TCR), but spatially disaggregated local climate sensitivity (LCS) is less so. An energy balance model (EBM) and an easily implemented semiparametric statistical approach are proposed to estimate LCS using the historical record and to assess its contribution to global transient climate sensitivity. Results suggest that areas dominated by ocean tend to import energy, they are relatively more sensitive to forcings, but they warm more slowly than areas dominated by land. Economic implications are discussed.

Details

Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications
Type: Book
ISBN: 978-1-83753-212-4

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Article
Publication date: 1 June 2003

G.Y. Yu

An indirect symmetric Galerkin BEM (SGBEM) is applied to 2D potential problems in this paper. Based on the assumption that solutions from different methods should be the same, the…

229

Abstract

An indirect symmetric Galerkin BEM (SGBEM) is applied to 2D potential problems in this paper. Based on the assumption that solutions from different methods should be the same, the hypersingular matrix appeared in SGBEM is approximately expressed by those matrices appeared in asymmetric Galerkin BEM (AGBEM). As only strong and weak singularities need to be solved, the problem becomes much simpler. The space derivatives of potential are expressed with a set of new meaning distributed flux, which will produce the same potential on the boundary position for Ω in the unbounded domain Ω+Ω′, so that hypersingularity will not appear for boundary points. Therefore, there is no need of C1,α for the spatial interpolation function (no Galerkin integration can be used for this purpose). Formulations for both the steady‐state and time‐domain potential problems are given. Three numerical examples are analyzed to demonstrate the effectiveness and accuracy of the proposed indirect method.

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Engineering Computations, vol. 20 no. 4
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 7 October 2024

Bo Yu

This study examines the stock market efficiency in China to offer trading strategy guidance to investors and efficiency evaluation insight to policymakers.

23

Abstract

Purpose

This study examines the stock market efficiency in China to offer trading strategy guidance to investors and efficiency evaluation insight to policymakers.

Design/methodology/approach

This study examines the stock market efficiency in China with a new combined liquidity trading strategy by blending technical analysis into a liquidity buy-and-hold strategy.

Findings

Our results show that the combined strategy generates significant excess returns in the whole sample period, suggesting that the Chinese stock market is not consistent with the weak form efficient hypothesis. In addition, the combined strategy yields more significant risk-adjusted excess returns after the 2004 split-share reform, indicating the stock market efficiency in China does not exhibit a distinct upgrade after the reform. Our further test results reinforce the main conclusions after taking transaction costs, market states, short-selling reform and other issues into consideration.

Originality/value

Our study contributes to the literature in two ways: First, we shed light on the mixed documented results about the market efficiency form in China. Second, we contribute to the mixed relation between the 2004 split-share reform and market efficiency in China.

Details

China Finance Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1398

Keywords

Available. Content available
Book part
Publication date: 24 February 2022

Ayodeji E. Oke, Seyi S. Stephen and Clinton O. Aigbavboa

Abstract

Details

Value Management Implementation in Construction
Type: Book
ISBN: 978-1-80262-407-6

Available. Open Access. Open Access
Article
Publication date: 18 August 2022

Jang-Won Moon, Yuting An and William Norman

The purpose of this paper is to adopt the uses and gratifications theory to tourism.

9865

Abstract

Purpose

The purpose of this paper is to adopt the uses and gratifications theory to tourism.

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Article
Publication date: 3 December 2024

Yaqin Liu, Qian Yu and Jing Li

This study aims to explore the factors influencing the evolution of emerging technology innovation network (ETIN) in combination with the key attributes and life cycle of emerging…

93

Abstract

Purpose

This study aims to explore the factors influencing the evolution of emerging technology innovation network (ETIN) in combination with the key attributes and life cycle of emerging technologies, particularly the impact of multiple knowledge attributes and technology life cycle on the ETIN evolution.

Design/methodology/approach

This study collects 5G patent data and their citation information from the Derwent Innovations Index to construct a 5G technology innovation network (5GIN) as a sample network and conducts an empirical analysis of the 5GIN using the temporal exponential random graph model (TERGM).

Findings

The results indicate that during the 5GIN evolution, the network scale continues to expand and exhibits increasingly significant core-periphery structure, scale-free characteristic, small-world characteristic and community structure. Furthermore, the findings suggest that the multiple knowledge attributes based on the key attributes of emerging technologies, including knowledge novelty, coherence, growth and impact, have a significant positive influence on the ETIN evolution. Meanwhile, the temporal evolution of ETIN is also found to be correlated with the life cycle of emerging technologies.

Originality/value

This study extends the exploration of emerging technology research from a complex network perspective, providing a more realistic explanatory framework for the factors influencing ETIN evolution. It further highlights the important role that multiple knowledge attributes and the technology life cycle play within this framework.

Details

Journal of Knowledge Management, vol. 29 no. 2
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 5 October 2012

Kun‐Huang Huarng, Tiffany Hui‐Kuang Yu, Luiz Moutinho and Yu‐Chun Wang

This study aims to adapt a neural network based fuzzy time series model to improve Taiwan's tourism demand forecasting.

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Abstract

Purpose

This study aims to adapt a neural network based fuzzy time series model to improve Taiwan's tourism demand forecasting.

Design/methodology/approach

Fuzzy sets are for modeling imprecise data and neural networks are for establishing non‐linear relationships among fuzzy sets. A neural network based fuzzy time series model is adapted as the forecasting model. Both in‐sample estimation and out‐of‐sample forecasting are performed.

Findings

This study outperforms previous studies undertaken during the SARS events of 2002‐2003.

Research limitations/implications

The forecasting model only takes the observation of one previous time period into consideration. Subsequent studies can extend the model to consider previous time periods by establishing fuzzy relationships.

Originality/value

Non‐linear data is complicated to forecast, and it is even more difficult to forecast nonlinear data with shocks. The forecasting model in this study outperforms other studies in forecasting the nonlinear tourism demands during the SARS event of November 2002 to June 2003.

Details

International Journal of Culture, Tourism and Hospitality Research, vol. 6 no. 4
Type: Research Article
ISSN: 1750-6182

Keywords

Available. Content available
Book part
Publication date: 24 October 2018

Abstract

Details

Contemporary Issues in Business and Financial Management in Eastern Europe
Type: Book
ISBN: 978-1-78756-449-7

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Book part
Publication date: 26 June 2007

Jeremy Freese and James D. Montgomery

Risk preference theory posits that females are more religious than males because they are more risk averse and are thus more motivated by the threat of afterlife punishment. We…

Abstract

Risk preference theory posits that females are more religious than males because they are more risk averse and are thus more motivated by the threat of afterlife punishment. We evaluate the theory formally and empirically. Formally, we show that the rational choice reasoning implied by the theory leads to unexpected conclusions if one considers belief in eternal rewards as well as eternal punishment. Empirically, we examine cross-cultural data and find that, across many populations, sex differences in religiosity are no smaller among those who do not believe in hell. We conclude by arguing that psychological characteristics are almost certainly crucial to understanding the difference, just not risk preference.

Details

Social Psychology of Gender
Type: Book
ISBN: 978-0-7623-1430-0

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