Ruirui Shao, Zhigeng Fang, Liangyan Tao, Su Gao and Weiqing You
During the service period of communication satellite systems, their performance is often degraded due to the depletion mechanism. In this paper, the grey system theory is applied…
Abstract
Purpose
During the service period of communication satellite systems, their performance is often degraded due to the depletion mechanism. In this paper, the grey system theory is applied to the multi-state system effectiveness evaluation and the grey Lz-transformation ADC (availability, dependability and capability) effectiveness evaluation model is constructed to address the characteristics of the communication satellite system such as different constituent subsystems, numerous states and the inaccuracy and insufficiency of data.
Design/methodology/approach
The model is based on the ADC effectiveness evaluation method, combined with the Lz transformation and uses the definite weighted function of the three-parameter interval grey number as a bridge to incorporate the possibility of system performance being greater than the task demand into the effectiveness solution algorithm. At the same time, using MATLAB (Matrix laboratory) to solve each state probability, the same performance level in the Lz transform is combined. Then, the system effectiveness is obtained by Python.
Findings
The results show that the G-Lz-ADC model constructed in this paper can accurately evaluate the effectiveness of static/dynamic systems and certain/uncertain system and also has better applicability in evaluating the effectiveness of the multi-state complex system.
Practical implications
The G-Lz-ADC effectiveness evaluation model constructed in this paper can effectively reduce the complexity of traditional effectiveness evaluation models by combining the same performance levels in the Lz-transform and solving the effectiveness of the system with the help of computer programming, providing a new method for the effectiveness evaluation of the complex MSS. At the same time, the weaknesses of the system can be identified, providing a theoretical basis for improving the system’s effectiveness.
Originality/value
The possibility solution method based on the definite weighted function comparing the two three-parameter interval grey numbers is constructed, which compensates for the traditional calculation of the probability based on numerical values and subjective preferences of decision-makers. Meanwhile, the effectiveness evaluation model integrates the basic theories of three-parameter interval grey number and its definite weighted function, Grey−Markov, grey universal generating function (GUGF), grey multi-state system (GMSS), etc., which is an innovative method to solve the effectiveness of a multi-state instantaneous communication satellite system.
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Naeem Akhtar, Muhammad Nadeem Akhtar, Umar Iqbal Siddiqi, Muhammad Riaz and Weiqing Zhuang
The present study develops a conceptual model that shows how the manipulation attributes of word choice, sentence fluency, convention of meaning, and organization of sentence…
Abstract
Purpose
The present study develops a conceptual model that shows how the manipulation attributes of word choice, sentence fluency, convention of meaning, and organization of sentence structure in online hotel reviews are connected to linguistic errors, such as spelling and grammar and argument errors, how such errors intensify the likelihood that messages will be misunderstood, and how these misunderstandings affect customers' responses.
Design/methodology/approach
A structured questionnaire was employed to collect data from 591 inbound tourists in Beijing, China. Data analysis was conducted using SPSS 25.0 and Amos Graphics 23.0. Descriptive analysis was performed to explain the sociodemographic characteristic of respondents. Structural equation modeling was performed to examine hypothesized relationships.
Findings
Results demonstrate that manipulation attributes increase linguistic errors, and two linguistic errors have profound positive effects on customers' understanding of meaning, which influence their responses in the form of negative online ratings and low purchase intentions.
Originality/value
The study's findings contribute to the literature on hospitality, linguistics, and consumer behavior, and have managerial implications for online review websites, online travel agents, and hotel management. Research limitations lead to suggestions for future research for hospitality scholars.
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Xinguang Chen, Xiaolan Tang, Bonita Stanton, Hanwu Li and Weiqing Chen
The reduction of tobacco use among medical students is a potentially powerful strategy to reduce tobacco use among future health professionals, who in turn, can have significant…
Abstract
Purpose
The reduction of tobacco use among medical students is a potentially powerful strategy to reduce tobacco use among future health professionals, who in turn, can have significant impact on tobacco use among patients as well as the general population in China. The goal of this study is to update information on the prevalence of cigarette smoking among Chinese medical students and to assess modifiable factors for smoking reduction.
Design/methodology/approach
Presented in the paper are descriptive, associative and path model analyses of survey data collected among 758 medical students in year one through year three from Hainan Medical College, Hainan, China.
Findings
Among the total 758 participants, 66.9 percent of males and 26 percent of females smoked and 26.5 percent of males and 1.6 percent of females had smoked in the past 30 days. The median monthly expenditure on cigarettes was 30 Chinese Yuan (approximately US$4.25). The likelihood of smoking increased with male gender, more advanced year group, poor academic performance, perceived peer smoking, and depressive symptoms, after controlling for covariates.
Originality/value
Findings reported in this study provide further insight into the smoking prevalence among medical students in China as well as adding to knowledge about several potentially modifiable factors that are related to smoking. Data collected in this study are likely to prove valuable in prioritizing tobacco control among Chinese medical students, as they are future medical doctors, and their smoking behaviors will have strong influence on their patients as well as the general public.
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Yan Li, Ming K. Lim, Weiqing Xiong, Xingjun Huang, Yuhe Shi and Songyi Wang
Recently, electric vehicles have been widely used in the cold chain logistics sector to reduce the effects of excessive energy consumption and to support environmental…
Abstract
Purpose
Recently, electric vehicles have been widely used in the cold chain logistics sector to reduce the effects of excessive energy consumption and to support environmental friendliness. Considering the limited battery capacity of electric vehicles, it is vital to optimize battery charging during the distribution process.
Design/methodology/approach
This study establishes an electric vehicle routing model for cold chain logistics with charging stations, which will integrate multiple distribution centers to achieve sustainable logistics. The suggested optimization model aimed at minimizing the overall cost of cold chain logistics, which incorporates fixed, damage, refrigeration, penalty, queuing, energy and carbon emission costs. In addition, the proposed model takes into accounts factors such as time-varying speed, time-varying electricity price, energy consumption and queuing at the charging station. In the proposed model, a hybrid crow search algorithm (CSA), which combines opposition-based learning (OBL) and taboo search (TS), is developed for optimization purposes. To evaluate the model, algorithms and model experiments are conducted based on a real case in Chongqing, China.
Findings
The result of algorithm experiments illustrate that hybrid CSA is effective in terms of both solution quality and speed compared to genetic algorithm (GA) and particle swarm optimization (PSO). In addition, the model experiments highlight the benefits of joint distribution over individual distribution in reducing costs and carbon emissions.
Research limitations/implications
The optimization model of cold chain logistics routes based on electric vehicles provides a reference for managers to develop distribution plans, which contributes to the development of sustainable logistics.
Originality/value
In prior studies, many scholars have conducted related research on the subject of cold chain logistics vehicle routing problems and electric vehicle routing problems separately, but few have merged the above two subjects. In response, this study innovatively designs an electric vehicle routing model for cold chain logistics with consideration of time-varying speeds, time-varying electricity prices, energy consumption and queues at charging stations to make it consistent with the real world.
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Sheau‐yueh J. Chao and Ching Chang
The Internet and World Wide Web offer a rapidly increasing quantity of valuable resources on Asia‐specific information. In view of the vast scope of the Asian countries and the…
Abstract
The Internet and World Wide Web offer a rapidly increasing quantity of valuable resources on Asia‐specific information. In view of the vast scope of the Asian countries and the fast proliferation of good sites, this article offers only a sampling of valuable Internet resources as starting points for further exploration. It covers meta sites, Asian search engines, library resource pages, and electronic journals and newspapers. The first part of this paper includes the Internet sites of Asian studies, the second part contains selected East Asian country resources from China, Hong Kong, Japan, Korea and Taiwan, and the third part presents the leading Asian electronic journals and newspapers. Preference was given to comprehensive sites on countries or regions that have been the focus of recent academic study and research. All the sources are in English and some of them contain bilingual or multilingual versions.
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Azanzi Jiomekong and Sanju Tiwari
This paper aims to curate open research knowledge graph (ORKG) with papers related to ontology learning and define an approach using ORKG as a computer-assisted tool to organize…
Abstract
Purpose
This paper aims to curate open research knowledge graph (ORKG) with papers related to ontology learning and define an approach using ORKG as a computer-assisted tool to organize key-insights extracted from research papers.
Design/methodology/approach
Action research was used to explore, test and evaluate the use of the Open Research Knowledge Graph as a computer assistant tool for knowledge acquisition from scientific papers.
Findings
To extract, structure and describe research contributions, the granularity of information should be decided; to facilitate the comparison of scientific papers, one should design a common template that will be used to describe the state of the art of a domain.
Originality/value
This approach is currently used to document “food information engineering,” “tabular data to knowledge graph matching” and “question answering” research problems and the “neurosymbolic AI” domain. More than 200 papers are ingested in ORKG. From these papers, more than 800 contributions are documented and these contributions are used to build over 100 comparison tables. At the end of this work, we found that ORKG is a valuable tool that can reduce the working curve of state-of-the-art research.
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Jingxuan Peng, Jingjing Cheng, Lei Wu and Qiong Li
This paper aims to study a high-temperature (up to 200 °C) data acquisition and processing circuit for logging.
Abstract
Purpose
This paper aims to study a high-temperature (up to 200 °C) data acquisition and processing circuit for logging.
Design/methodology/approach
With the decrease in thermal resistance by system-in package technology and exquisite power consumption distribution design, the circuit worked well at high temperatures environment from both theoretical analysis and real experiments evaluation.
Findings
In thermal simulation, considering on board chips’ power consumption as additional heat source, the highest temperature point reached by all the chips in the circuit is only 211 °C at work temperature of 200 °C. In addition, the proposed circuit was validated by long time high-temperature experiments. The circuit showed good dynamic performance during a 4-h test in a 200-°C oven, and maintained a signal-to-noise ratio of 92.54 dB, a signal-to-noise and distortion ratio of 91.81 dB, a total harmonic distortion of −99.89 dB and a spurious free dynamic range of 100.28 dB.
Originality/value
The proposed circuit and methodology showed great potential for application in deep-well logging systems and other high-temperature situations.
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Joseph Bosco, Lucia Huwy-Min Liu and Matthew West
A little-known “lottery fever” has spread to many parts of rural China over the past 10 years. This is driven by participation in underground lotteries with local bookies. It is…
Abstract
A little-known “lottery fever” has spread to many parts of rural China over the past 10 years. This is driven by participation in underground lotteries with local bookies. It is called liuhecai, which is the name of the Hong Kong lottery, and is based on guessing the bonus number of the Hong Kong Mark Six lottery. Such lotteries are illegal, but are an open secret. This chapter seeks to understand the meaning of this apparently irrational lottery fever: why people participate in it, why they believe the conspiracy theory that it is rigged (and yet still participate), and why similar lotteries have emerged in both capitalist Taiwan and post-socialist China at this particular time.