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This study aims to investigate the acoustic roughness of rails on China’s high-speed railways, with a focus on short-wavelength irregularities (less than 80 cm), which are known to significantly contribute to noise. The goal is to develop a specific acoustic roughness spectrum tailored for China’s high-speed railway system, as no such spectrum currently exists.

A long-term tracking study was conducted on major railway lines in China, monitoring rail roughness throughout the initial operational period and the rails’ service life. Data preprocessing techniques such as peak removal and curvature correction were applied for acoustic adjustments. A spatial-wavelength domain transformation was performed, providing the distribution patterns and statistical characteristics of acoustic roughness on China’s high-speed rails. Based on these analyses, a model for constructing the acoustic roughness spectrum was developed.

The study found that the acoustic roughness of China’s high-speed railway rails follows a χ² distribution with six degrees of freedom. For wavelengths greater than 8 cm, the acoustic roughness spectrum remains below the ISO specified limits. In the wavelength range of 3.2 cm to 6.3 cm, the roughness is comparable to or within the limits specified by ISO 3095:2005 and ISO 3095:2013. However, for wavelengths shorter than 2.5 cm, the roughness exceeds ISO limits.

This research fills the gap in the lack of a specific acoustic roughness spectrum for China’s high-speed railways. By establishing a tailored spectrum based on long-term data analysis, the findings provide valuable insights for noise control and rail maintenance in the context of China’s high-speed rail system.

Deployment of deep neural networks on embedded devices is becoming increasingly popular because it can reduce latency and energy consumption for data communication. This paper aims to give out a method for deployment the deep neural networks on a quad-rotor aircraft for further expanding its application scope.

In this paper, a design scheme is proposed to implement the flight mission of the quad-rotor aircraft based on multi-sensor fusion. It integrates attitude acquisition module, global positioning system position acquisition module, optical flow sensor, ultrasonic sensor and Bluetooth communication module, etc. A 32-bit microcontroller is adopted as the main controller for the quad-rotor aircraft. To make the quad-rotor aircraft be more intelligent, the study also proposes a method to deploy the pre-trained deep neural networks model on the microcontroller based on the software packages of the RT-Thread internet of things operating system.

This design provides a simple and efficient design scheme to further integrate artificial intelligence (AI) algorithm for the control system design of quad-rotor aircraft.

This method provides an application example and a design reference for the implementation of AI algorithms on unmanned aerial vehicle or terminal robots.

The purpose of this study is to understand whether the spectator’s emotional attachment to esports’ players is key for the sponsoring brand’s outcomes. A theoretical model based on the attachment, social influence and brand communities’ literature is proposed.

Data were collected through an online survey from a sample of 1,355 regular esports viewers. The proposed conceptual model was evaluated using partial least squares-structural equation modeling (PLS-SEM).

The results showed that emotional attachment to esports players exerts a large effect on the viewer’s engagement with the community and his or her intention to view its content for longer. These two variables are key in explaining the viewer’s intention to perform positive behaviors toward the sponsoring brand, such as recommendation, purchase intentions and co-creation.

This study improves the understanding about the effects of the viewer’s emotional bond with esports players and the bond’s impact on the development of positive behaviors toward the sponsoring brand.

El objetivo de este estudio es comprender cómo el apego emocional del espectador hacia el jugador de esports es determinante para los resultados de la marca patrocinadora. Para ello se propone un modelo teórico basado en la literatura sobre el apego, la influencia social, y las comunidades de marca.

Se recopilaron datos de una muestra de 1.355 espectadores habituales de esports mediante una encuesta online. El modelo conceptual propuesto se evaluó con la técnica de ecuaciones estructurales por el método de mínimos cuadrados parciales (PLS-SEM).

Los resultados muestran que el apego emocional hacia el jugador de esports ejerce un gran efecto tanto en el compromiso del espectador con la comunidad como en su intención de permanecer más tiempo visionando sus contenidos. Estas dos variables son clave para explicar la intención del espectador de realizar comportamientos positivos hacia la marca patrocinadora como son la recomendación, la intención de compra y la cocreación.

Este estudio contribuye a mejorar la comprensión sobre los efectos del vínculo emocional del espectador con los jugadores de esports y su impacto en el desarrollo de comportamientos positivos hacia la marca patrocinadora.

In this paper, we investigate the coevolution of the supply network and procurement strategies in the context of semiconductors and electronics for the automotive industry over 3 decades. We aim to explain how procurement strategy interrelates with changes in supply network structure and what the implications of a hub-centric structure network structure are for procurement in supply.

We collected in-depth primary and secondary data that stretched back to 1996 from a leading automotive European original equipment manufacturer (OEM) and its network. Using social network analysis (SNA), we identified OEMs’ procurement focus and mapped the evolution of the supply network, the links in the network, and the environmental forces impacting the strategies and the network.

Our findings describe the supply network for semiconductor and electronic components to the automotive industry. The findings suggest that a focus on cost can lead to a Tier 1-centric network structure with many tiers that can fail to assure supply or capture innovation when the external environment is marked by high uncertainty. In such situations, increasing complexity by creating more links in the network can improve transparency and contribute to supply assurance and innovation.

The findings indicate that managers should consider the role of the supply network in selecting their strategy to attain objectives of cost, innovation, and supply assurance.

This paper presents empirical-based insights into the automotive semiconductor and electronic component supply chain (SC), the unexpected implications of hub-centric supply networks, and the use of SNA in the SC in context.

This paper reviews the literature on zombie firms to provide a holistic view by delineating their formation, impact, widespread nature, prevention and policy implications.

This paper uses a systematic literature review methodology, in which 76 papers published in journals ranked on the Australian Business Deans Council (ABDC) 2022 list were reviewed. The study period was from 2000 to 2022.

Among the main findings, the widespread problems of zombie firms were evident. The authors found that consistent support, either in the form of government grants or a weak financial framework, was responsible for their formation. The suboptimal performance of factors of production, depressed job creation, low innovation and overall negative impact on economic activity are the consequences of zombification. This can be controlled by ensuring better bankruptcy codes, focused on government assistance, technology use and better due diligence by banks.

This review serves as a reference point for future researchers as a cohesive and holistic study presenting a full picture of the problem, so that the proposed solutions are robust and tenable.

This review is among the initial attempts to comprehensively study published work on zombie firms in terms of analyzing their region-specific nature, with an emphasis on definition, causes, impact and prevention.

This paper aims to examine the association between green innovation and the cost of equity in China. This study relies on the investors’ base perspective and shareholders’ perceived risk perspective to investigate the relation between green innovation and the cost of equity in China.

The paper uses firm-fixed effect regression for a sample of Chinese public companies for the period 2008–2018.

The authors find a negative relationship between green innovation and the cost of equity capital. This negative association is found to be more pronounced for less financially constrained firms, during periods of high economic policy uncertainty, and for firms with a strong internal control environment. Finally, the paper shows that the negative association became more pronounced after the passage of the Environmental Protection Law of China in 2012. The results remain robust to possible endogeneity concerns.

This study contributes to the green innovation literature by documenting that shareholders favorably view firms implementing green innovation policies. The study also has policy implications for Chinese regulators in improving the green credit policy.

The purpose of this article is to investigate the interrelationships between innovation climate and human capital in the development of dynamic capabilities related to innovation. The study presents a set of concepts about variables involved in the innovation process and their interrelationship, addressing the analysis of international scientific production related to the antecedents of the innovation climate, human capital and dynamic capabilities.

A review of the literature from 1998 to 2018 was carried out, using descriptive statistical methods, at first, and qualitative analysis of the results in order to visualize the current configuration of the field of study of innovation background.

The results demonstrate a significant number of studies relating human capital and dynamic capabilities and little quantitative significance in studies relating to a climate of innovation and dynamic capabilities. The research describes how the dynamic capabilities of innovation have been approached in a conceptual model based on the perspective of human capital and innovation climate.

The study did not contemplate the analysis of the interrelationship between the resource configuration construct and the dynamic innovation capacities (part of the gap pointed out by Tuzovic, Wirtz and Heracleous (2018), constituting a perceptible limitation of the analyzes carried out in this article.

The influence of the innovation climate construct and its relationship with dynamic innovation capabilities deserves greater attention in research with an empirical approach, constituting a field to be explored by scientific research in organizations.

The research sought to investigate the gap involving the interrelations between innovation climate and human capital in the development of dynamic capabilities related to innovation, indicating the need for further empirical studies on the subject.

It is of great significance to study the influence of subgrade filling on permafrost temperature field in permafrost area for the smooth construction and safe operation of railway.

The paper builds up the model for the hydrothermal coupling calculation of permafrost using finite element software COMSOL to study how permafrost temperature field changes in the short term after subgrade filling, on which basis it proposes the method of calculation for the concave distortion of freezing front in the subgrade-covered area.

The results show that the freezing front below the subgrade center sinks due to the thermal effect of subgrade filling, which will trigger hydrothermal erosion in case of sufficient moisture inflows, leading to the thawing settlement or the cracking of the subgrade, etc. The heat output of soil will be hindered the most in case of July filling, in which case the sinking and the distortion of the freezing front is found to be the most severe, which the recovery of the permafrost temperature field, the slowest, constituting the most unfavorable working condition. The concave distortion of the freezing front in the subgrade area increases with the increase in temperature difference between the filler and ground surface, the subgrade height, the subgrade width and the volumetric thermal capacity of filler, while decreases with the increase of the thermal conductivity of filler. Therefore, the filler chose for engineering project shall be of small volumetric thermal capacity, low initial temperature and high thermal conductivity whenever possible.

The concave distortion of the freezing front under different working conditions at different times after filling can be calculated using the method proposed.