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This study aims to investigate the cause of high-order wheel polygonization in a plateau high-speed electric multiple unit (EMU) train.

A series of field tests were conducted to measure the vibration accelerations of the axle box and bogie when the wheels of the EMU train passed through tracks with normal rail roughness after re-profiling. Additionally, the dynamic characteristics of the track, wheelset and bogie were also measured. These measurements provided insights into the mechanisms that lead to wheel polygonization.

The results of the field tests indicate that wheel polygonal wear in the EMU train primarily exhibits 14–16 and 25–27 harmonic orders. The passing frequencies of wheel polygonization were approximately 283–323 Hz and 505–545 Hz, which closely match the dominated frequencies of axle box and bogie vibrations. These findings suggest that the fixed-frequency vibrations originate from the natural modes of the wheelset and bogie, which can be excited by wheel/rail irregularities.

The study provides novel insights into the mechanisms of high-order wheel polygonization in plateau high-speed EMU trains. Futher, the results indicate that operating the EMU train on mixed lines at variable speeds could potentially mitigate high-order polygonal wear, providing practical value for improving the safety, performance and maintenance efficiency of high-speed EMU trains.

This study aims to explore how gender influences the impact of interpersonal trust among subordinates on spontaneous work behaviors such as sharing responsibility and knowledge and engaging in organizational citizenship behavior (OCB). The goal is to understand factors that contribute to the effectiveness of women as supervisors and subordinates in the manufacturing sector.

Data were gathered from 308 subordinates and 71 supervisors working in the manufacturing sector in mainland China using a survey methodology. Descriptive statistics, correlation, confirmatory factor analysis and hierarchical moderated regression were the statistical techniques used.

Results indicate that both affect- and cognition-based trust among subordinates positively impact responsibility- and knowledge-sharing behaviors, OCB-individual (OCB-I) and OCB-organization (OCB-O). For female subordinates, the gender of the supervisor alters the relationship between both forms of trust and responsibility-sharing behavior and OCB-O, but not knowledge-sharing behavior and OCB-I. Cognition-based trust plays a dominant role for male subordinates, while affect-based trust is more relevant to female subordinates. Finally, while the gender of the supervisor moderates the impact of both affect- and cognition-based trust, it is significant for female subordinates only.

This study is not without limitations. First, the authors had access to a limited sample of female supervisors and female subordinates, which is not uncommon in the manufacturing sector that is mostly composed of male employees. Second, the cross-sectional nature of the study does not allow the capture of the impact of change in trust over time. However, it is believed that the multi-source design, the novelty of the study’s findings and their implications to interpersonal trust theory and supervisory practice compensate for the limitations. For starters, this study endorses the crucial role of interpersonal trust among employees in predicting important organizational behaviors. It corroborates the conceptual distinction between affect- and cognition-based trust and empirically validates the concepts of affect- and cognition-based trust, RSB, KSB and OCB in China. It uses multi-source data and measures behavioral outcomes of workers as observed by their immediate supervisors. These contributions speak to the empirical viability of our theoretical framework that may be useful to those contemplating cross-cultural research.

The study started with the question, does gender matter. The answer is that it does and that it has implications for human resource management. The gender of both supervisors and subordinates affect the way interpersonal trust among workers elicit desirable organizational behaviors such as sharing responsibilities, sharing knowledge and other forms of citizenship behavior. Female supervisors need to build trust among their female employees before they can expect effective organizational behavior. The story is different for male supervisors and male employees. This has implications in the way male and female supervisors are trained. It also has implications for work group formation and composition. What the study does not know is whether these findings are limited to the manufacturing sector or unique to China. It is recommended that a cross-cultural comparative research be undertaken to address those questions.

In light of the study’s findings, it is proposed that supervisory training and development programs should take into consideration that female supervisors encounter more challenges in eliciting favorable behaviors on the part of female subordinates in a work environment that is male-dominated.

The unique value contribution of the study pertains to the role of gender – the gender of the supervisor and the gender of the subordinate in shaping organizational behavior. Specifically, the authors show that the supervisor’s gender influences the relationship between affect-based trust and RSB, KSB and OCB-O and the relationship between cognition-based trust and OCB-O. Their point is that these relationships are significant only for female supervisors. In addition, they show that gender similarity between the supervisor and the supervised matters, only when both are female. These findings limit the role of interpersonal trust in eliciting favorable organizational behavior across the board and question the portability of interpersonal trust theory across industries and cultures.

Current modellings of granular collapse are lack of considering the effect of soil density. This paper aims to present a numerical method to analyse the collapse of granular column based on the critical-state soil mechanics.

In the proposed method, a simple critical-state based constitutive model is first adopted and implemented into a finite element code using the coupled Eulerian–Lagrangian technique for large deformation analysis. Simulations of column collapse with various aspect ratios are then conducted for a given initial soil density. The effect of aspect ratio on the final size of deposit morphology, dynamical collapse profiles and the stable region is discussed comparing to experimental results. Moreover, complementary simulations with various initial soil densities on each aspect ratio are conducted.

Simulations show that a lower value of initial density leads to a lower final deposit height and a longer run-out distance. The simulated evolutions of kinetic energy and collapsing profile with time by the proposed numerical approach also show clearly a soil density-dependent collapse process.

To the end, this study can improve the understanding of column collapse in different aspect ratios and soil densities, and provide a computational tool for the analysis of real scale granular flow.

The originality of this paper is proposed in a numerical approach to model granular column collapse considering the influences of aspect ratio and initial void ratio. The proposed approach is based on the finite element platform with coupled Eulerian–Lagrangian technique for large deformation analysis and implementing the critical-state based model accounting for the effect of soil density.

With the current developments within the sphere of Internet of Things (IoT) technology, many conventional articles are all being fitted with smart functionalities, ranging from chairs, beds, shoes and caps to underwear. Bags which are utility as well as fashion items have not been left out of this smart craze, albeit to a less popular degree. The purpose of this study is to fill the research gap on the subject of smart bags research and applications and to contribute to the general discourse on IoT.

This study adopts literature search and database review, concept mapping as well as synthesis methodologies. Relevant literature form databases such as Web of Science, Google Scholar and Bing Scholar were interrogated. Manual sifting was done to eliminate papers that do not fit the set inclusion criteria. Literature on smart bags was organized into structured frameworks using concept mapping methodology. Applying a synthesis methodology enabled an exploration of the different technological trends in smart bag research and their areas of application.

The study identified about 15 different smart bag applications and functionalities. Discussed in this study is a classification of bags based on a number of points such as way of carrying, size, utility and fabrication materials. Also discussed are the description of what constitute a smart bag, relevant technologies for smart bag design and engineering and subsequently the current trends in smart bag applications. This study also discovered that the air travel industry tend to have some difficulties with this smart bag technologies, specifically with their built-in batteries.

The results of this study will provide researchers and other stakeholders with key information about existing problems and opportunities in smart bag research and applications. This will go a long way to help in guiding future research as well as policymaking in smart bag design and application.

To the best of the authors’ knowledge, this is the first review on the subject of smart bags even though smart bag research and commercial product design continue to gain momentum in recent years.

At the moment, in terms of both research and commercial products, smart shoe technology and applications seem not to attract the same magnitude of attention compared to smart garments and other smart wearables such as wrist watches and wrist bands. The purpose of this study is to fill this knowledge gap by discussing issues regarding smart shoe sensing technologies, smart shoe sensor placements, factors that affect sensor placements and finally the areas of smart shoe applications.

Through a review of relevant literature, this study first and foremost attempts to explain what constitutes a smart shoe and subsequently discusses the current trends in smart shoe applications. Discussed in this study are relevant sensing technologies, sensor placement and areas of smart shoe applications.

This study outlined 13 important areas of smart shoe applications. It also uncovered that majority of smart shoe functionality are physical activity tracking, health rehabilitation and ambulation assistance for the blind. Also highlighted in this review are some of the bottlenecks of smart shoe development.

To the best of the authors’ knowledge, this is the first comprehensive review paper focused on smart shoe applications, and therefore serves as an apt reference for researchers within the field of smart footwear.

The purpose of this paper is to establish the damage alarming indexes for ancient wood structures and study the damage sensitivity and noise robustness of these indexes under random excitation.

Xi’an Bell Tower is taken as a case in this paper to simulate the damage of ancient wood structures through finite element (FE) simulation and determine the satisfactory damage alarming indexes with wavelet packet energy spectrum.

The results of this paper show that: 1) the damage alarming indexes can effectively identify the damage of ancient wood structures, each index with a different damage sensitivity; 2) the energy ratio deviation is greater than the energy ratio variance and is close to the maximum variation of energy ratio; 3) the energy ratio deviation has a better alarming effect than the energy ratio variance during the initial period of the damage. With the accumulation of the damage, the energy ratio variance outperforms the energy ratio deviation; 4) the sensitivity of the energy ratio deviation and variance varies from positions, changing from the highest to lowest at the mortise-and-tenon joints, the beam mid-span and the plinth; 5) if signal to noise ratio (SNR) is 40db or larger, the indexes can accurately identify the damage of ancient wood structures. As SNR increases, the indexes will have an increasingly higher sensitivity and certain ability to resist noise.

The FE model is simpiy, it does not completely reflect Xi’an Bell Tower.

It will provide a theoretical basis for the damage alarming of Xi’an Bell Tower.

It makes structural health monitoring through structural vibration response under ambient excitation a new research field in damage detection as well as a positive way of ancient architecture protection.

This paper studies the damage alarming effect on ancient wood structures from different wavelet functions and wavelet packet decomposition levels. To study the effect under white noise environment, this paper adds Gaussian white noise with a SNR of 10, 20, 30, 40 and 50 db to the acceleration response signal of intact structure and damaged structure.

In the Western world, Carl Jung was the first to posit a theory of synchronicity to explain the startling divinatory power of the I Ching. Yet long before his time and unbeknownst to the West, the Chinese had already institutionalized as their tradition, simple practices for enabling decisions grounded on the synchronous concept. The purpose of this paper is to explain the process from within the context of Chinese Buddhist spirituality.

The approach here is to provide the background of Han Chinese Buddhism in modern China and within it, the wide practices of Kuan Yin spirituality and introducing the tools that the Chinese devised for consulting the Goddess of Mercy, as Kuan Yin is otherwise known. Then a discussion is made, for the first time, of the underlying mechanics as well as the mind and energy aspects. Having so introduced the religious background, spirituality, tools and mechanics, the processes of temple consultations for decisions are then explained. In the discussion, a framework for classifying decisions is outlined along with probability concepts. There is also the requirement for the inquirer to seek a metaphorical interpretation of the poetic imagery as contained in the Qian (a slip of paper).

Through writing this paper, the author wishes readers, both managerial and those in research, to understand what is still the approach (even more widely in China now than before) in how the Chinese – in and outside of China – approach the task of making major, complex decisions. These practices which date from antiquity clearly suggest the Chinese had gone beyond Jungian synchronicity in translating the theory into practice for decision making. In other words, they had long recognized the need for tools, techniques and approaches to help them make complex, difficult decisions: decisions that often go beyond the rational boundaries of the mind.

With the rising impact of the Chinese on the global economy and society, there is clearly a need for works that explain major Chinese processes such as the making of decisions. The art of decision making by the Chinese on the basis of what Jung theorized as synchronicity should become much better understood by researchers and managers.

There are very few academic papers exploring the process of Kuan Yin consultation in decision making by the Chinese. Yet this can be seen across many temples in everyday China and overseas Chinese communities as well as in Japan, Korea and Vietnam. The understanding of such processes is necessary for anyone, who wishes to grasp the minds of the Chinese as regards the process involved in the making of major decisions.

Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.

The main purpose of this paper is to examine the adoption of big data analytics (BDA) in the Tanzania banking industry by investigating the influence of technological, environmental and organizational (TOE) factors while exploring the moderating role of perceived risk (PR).

The study employed a qualitative research design, and the research instrument was developed using per-defined measurement items adopted from prior studies; the items were slightly adjusted to fit the current context. The questionnaires were distributed to top and middle managers in selected banks in Tanzania using the snowball sampling technique. Out of 360 received responses, 302 were considered complete and valid for data analysis. The study employed partial least squares structural equation modeling (PLS-SEM) to examine the developed conceptual framework.

Top management support and financial resources emerged as influential organizational factors, as did competition intensity for the environmental factors. Notably, bank size and perceived trends showed no significant impacts on BDA adoption. The study's novelty lies in revealing PR as a moderating factor, weakening the link between technological readiness, perceived usefulness and the intent to adopt BDA.

This study extends literature by extending the TOE model, through examining the moderating roles of PR on technological factors. Furthermore, the study provides useful managerial support for the adoption of BDA in banking in emerging economies.

This paper aims to present a systematic review of the literature concerning major aspects of innovation performance and compare the research hotspots of innovation performance in the twenty-first century with three primary purposes: first, to view the trend of Chinese and English literature on innovation performance research; second, to summarize the research streams in innovation performance; and third, to predict possible directions for future innovation performance research.

The authors first introduce a framework of innovation performance research developments. Then they construct a representative data set of bibliographic records, obtaining 1,768 articles in the SSCI citation index database and 1,431 articles in the CSSCI database. The authors then make a comparative analysis from two aspects: research themes and development of academic communities. The research objects are keywords and references so that co-word and co-cited reference networks are established. Finally, the authors combine the direction of research streams about “innovation performance” to summarize 28 questions in three research fields that can be studied in the future.

The momentum of the literature in English on innovation performance is increasing, whereas the Chinese literature has declined in recent years. The direction of research streams in Chinese and English literature is the same: they are the “innovation system/elements” research stream, the “innovation activity/ability” research stream and the “innovation network/social capital” research stream. Although the directions are the same, the specific contents of the research are different. The direction of future development of innovation performance research can be undertaken in three aspects: follow research into expanding hot topics, mine the research of typical academic circles and develop research into exploring more fields. Combined with the direction of research streams, 28 questions in three research fields are summarized.

Based on the background of “mass entrepreneurship and innovation” in China, the research on enterprise “innovation performance” is becoming more and more important. The findings help us summarize the research streams related to innovation performance research, better understand the themes that point to directions for future development of innovation performance research and summarize 28 questions.