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Mentor secure-base support, characterized as mentor availability, noninterference and encouragement of growth, has important implications for newcomer socialization. Drawing on attachment theory, this paper aims to examine the relationship between mentor secure-base support and newcomers' workplace courage.

Data were collected at three time points with a new police officer sample (n = 124). A cross-lagged panel design was used to test the hypotheses.

Mentor secure-base support is causally precedent to newcomers' workplace courage, whereas the reverse relationship from workplace courage to mentor secure-base support was not held.

To help newcomers integrate into their organization and enhance their workplace courage, organizations should actively promote and foster mentoring relationships in which mentors can provide a secure base for mentees.

The authors' findings support that newcomers' workplace courage can be cultivated by mentor secure-base support. It provides insight for organizations to explore workplace courage development for newcomers.

The purpose of the study is to address the problems of low accuracy and missed detection of occluded pedestrians and small target pedestrians when using the YOLOX general object detection algorithm for pedestrian detection. This study proposes a multi-level fine-grained YOLOX pedestrian detection algorithm.

First, to address the problem of the original YOLOX algorithm in obtaining a single perceptual field for the feature map before feature fusion, this study improves the PAFPN structure by adding the ResCoT module to increase the diversity of the perceptual field of the feature map and divides the pedestrian multi-scale features into finer granularity. Second, for the CSPLayer of the PAFPN, a weight gain-based normalization-based attention module (NAM) is proposed to make the model pay more attention to the context information when extracting pedestrian features and highlight the salient features of pedestrians. Finally, the authors experimentally determined the optimal values for the confidence loss function.

The experimental results show that, compared with the original YOLOX algorithm, the AP of the improved algorithm increased by 2.90%, the Recall increased by 3.57%, and F1 increased by 2% on the pedestrian dataset.

The multi-level fine-grained YOLOX pedestrian detection algorithm can effectively improve the detection of occluded pedestrians and small target pedestrians.

The authors introduce a multi-level fine-grained ResCoT module and a weight gain-based NAM attention module.

The purpose of this study is to elaborate the theoretical mechanism of rural credit input affecting the urban–rural income gap from the perspective of labor transfer, and use a dynamic panel mediation model to test the transmission mechanism of rural credit input affecting the urban–rural income gap through labor transfer, so as to provide an empirical basis for narrowing the urban–rural income gap in China.

This paper constructs a mechanism analysis framework for rural credit input affecting the urban–rural income gap. From the perspective of resource allocation and labor transfer, the authors expound the transmission path of rural credit input to the urban–rural income gap and analyze the theoretical mechanism of rural credit input that affects the urban–rural income gap through labor transfer. Based on this, this paper uses the dynamic panel mediation model to test the effect relationship between rural credit input, labor transfer and urban–rural income gap in 31 provinces of China from 2009 to 2018.

In theory, increasing rural credit input can ease the financial constraints on the development of “agriculture, rural areas and farmers” and provide capital accumulation for the development of rural non-agricultural industries. The development of rural non-agricultural industries can provide more jobs for rural surplus labor, thereby increasing the labor rate of return in rural areas, and ultimately conducive to narrowing the urban–rural income gap. Further, increasing rural credit input can improve the development level of rural non-agricultural industries, thereby promoting the transfer of agricultural labor. At the same time, rural credit input based on the intermediary variable of labor transfer has a significant inhibitory effect on the urban–rural income gap.

This study mainly focuses on the relationship between rural credit input, labor transfer and urban–rural income gap, so it is impossible to use micro-level data to further verify the impact of rural credit input on labor transfer. At the same time, the collection of indicators of rural credit investment in the China Financial Yearbook only started in 2009, which limited the number of samples to a certain extent.

This paper assumes that the economy is mainly composed of urban and rural economic sectors. Therefore, labor can flow freely between urban and rural areas. However, in the near future, China's rural secondary and tertiary industries may develop rapidly, especially with the in-depth implementation of rural revitalization strategy, it is very important to pay attention to the current situation of rural industrial structure and incorporate the factors such as rural industrial structure into the existing model.

This study attempts to provide a new perspective and inspiration for rural credit input, the optimal allocation of labor force and narrowing the urban–rural income gap under China's rural revitalization strategy.

Based on the analysis framework of neoclassical economic theory, this paper uses the constant elasticity of substitution production function to establish an urban–rural two-sector nested model that includes credit supply variables and analyzes the mechanism of rural credit input affecting the urban–rural income gap through labor transfer.

Research on creativity highlights feedback as an important driver of creative ideas. However, it advances a rather mechanistic understanding of communication, which obscures the specific practices in feedback interactions as well as their constitutive role in shaping creative ideas. In this paper, we advance conceptual arguments on how actors interact in communicative feedback processes on creative ideas. By drawing on the theory of communicative action by Jürgen Habermas and Hans Joas’ theory of creative action, we develop a more complex and nuanced understanding of creativity as a phenomenon that is constituted in communication. These authors’ work draws conceptual attention to the practices through which actors negotiate the novelty and usefulness of creative ideas in communicative interactions, the important role of feedback givers as creative actors, and “spaces for play” as a communicative sphere that allows creativity to emerge. We extend the literature on creativity by introducing a theory of communicative and creative action that offers to unpack communicative interactions through which creativity does or does not come into being.

This paper aims to study the influence of aerodynamics force of trains passing each other on the dynamic response of vehicle bridge coupling system based on numerical simulation and multi-body dynamics and put forward the speed threshold for safe running of train under different crosswind speeds.

The computational fluid dynamics method is adopted to simulate the aerodynamic force in the whole process of train passing each other by using dynamic grid technology. The dynamic model of vehicle-bridge coupling system is established considering the effects of aerodynamic force of train passing each other under crosswind, the dynamic response of train intersection on the bridge under crosswind is computed and the running safety of the train is evaluated.

The aerodynamic force of trains' intersection has little effects on the derailment factor, lateral wheel-rail force and vertical acceleration of train, but it increases the offload factor of train and significantly increases the lateral acceleration of train. The crosswind has a significant effect on increasing the derailment factor, lateral wheel-rail force and offload factor of train. The offload factor of train is the key factor to control the threshold of train speed. The impact of the aerodynamic force of trains' intersection on running safety cannot be ignored. When the extreme values of crosswind wind speed are 15 m·s⁻¹, 20 m·s⁻¹ and 25 m·s⁻¹, respectively, the corresponding speed thresholds for safe running of train are 350 km·h⁻¹, 275 km·h⁻¹ and 200 km·h⁻¹, respectively.

The research can provide a more precise numerical method to study the running safety of high-speed trains under the aerodynamic effect of trains passing each other on bridge in crosswind.

With the rapid growth of the domestic lending industry, assessing whether the borrower of each loan is at risk of default is a pressing issue for financial institutions. Although there are some models that can handle such problems well, there are still some shortcomings in some aspects. The purpose of this paper is to improve the accuracy of credit assessment models.

In this paper, three different stages are used to improve the classification performance of LSTM, so that financial institutions can more accurately identify borrowers at risk of default. The first approach is to use the K-Means-SMOTE algorithm to eliminate the imbalance within the class. In the second step, ResNet is used for feature extraction, and then two-layer LSTM is used for learning to strengthen the ability of neural networks to mine and utilize deep information. Finally, the model performance is improved by using the IDWPSO algorithm for optimization when debugging the neural network.

On two unbalanced datasets (category ratios of 700:1 and 3:1 respectively), the multi-stage improved model was compared with ten other models using accuracy, precision, specificity, recall, G-measure, F-measure and the nonparametric Wilcoxon test. It was demonstrated that the multi-stage improved model showed a more significant advantage in evaluating the imbalanced credit dataset.

In this paper, the parameters of the ResNet-LSTM hybrid neural network, which can fully mine and utilize the deep information, are tuned by an innovative intelligent optimization algorithm to strengthen the classification performance of the model.

The particle damper is an efficient vibration control device and is widely used in engineering projects; however, the performance of such a system is very complicated and highly nonlinear. The purpose of this paper is to accurately simulate the particle damper system properly, and help to understand the underlying physical mechanics.

A high-fidelity simulation process is well established to account for all significant interactions among the particles and with the host structure system, including sliding friction, gravitational forces, and oblique impacts, based on the modified discrete element method. In this process, a suitable particle damper system is modeled, reaction forces between particle aggregates and the primary structure are incorporated, a reasonable contact force model and time step are determined, and an efficient contact detection algorithm is adopted.

The numerical results are further validated by both special computational tests and shaking table tests, with good agreements to the experimental results. The method is shown to be effective and accurate to simulate the particle damper system.

The approaches described in this paper provide an efficient numerical way to investigate complex particle damper systems.

The purpose of this paper is to identify and analyse factors that affect contractors’ behavioural strategies in resolving disputed claims.

Factors were explored by a literature review and an open-ended questionnaire survey. In total, 9 hypotheses involving 12 factors were developed accordingly. Then a structured questionnaire survey was conducted, and 248 valid questionnaires were received from Chinese contractors. Partial least squares structural equation modelling was employed to test the hypotheses.

Factors that have the largest impacts on the contractual approach and the relational approach regarding obliging and compromising are favourability of evidence, time pressure and reputation, respectively. Unexpected results show that obliging behaviours are negatively correlated with procedural fairness but positively correlated with occurrence time of the dispute.

The results are based on correlation, although the research design improves the internal validity. Furthermore, this study belongs to single-level research. In the future, researchers can conduct multilevel research to enrich theories.

The findings not only enhance practitioners’ understanding of the factors influencing contractors’ behavioural strategies when dealing with disputed claims, but also offer insights into both parties’ ex ante focus of attention on specific factors to facilitate the subsequent dispute resolution.

This study furnishes a nuanced picture of multiple factors’ impacts on contractors’ behavioural strategies of claim-related dispute resolution, and thus supplements the relevant construction dispute management literature. From the perspective of contractual governance, it is one of those exploring drivers of contract application in problem situations. It extends the body of knowledge on this topic and hopefully will encourage more research on contractual governance from the reactive perspective.