Search results

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

The purpose of this paper is to predict quantitative level of stray current leaking to the buried metallic structure by establishing convolution neural network (CNN) model.

First, corrosion experimental system of buried metallic structure is established. The research object of this paper is the polarization potential within 110 min, CNN model is used to predict the quantitative level of stray current leakage using the data from corrosion experimental system further. Finally, results are compared with the method using BP neural network.

Results show that the CNN model has better predictive effect and shorter prediction time than the BP model, the accuracy of which is 82.5507 per cent, and the prediction time is shortened by more than 10 times.

The established model can be used to forecast the level of stray current leakage in the subway system effectively, which provides a new theoretical basis for evaluating the stray current corrosion hazard of buried metallic structure.

This study aims to explain the role of globalisation on the regional income growth disparities in the states of India and provinces in the People’s Republic of China (PRC).

The authors use two approaches to analyse regional growth disparities: growth accounting and the panel spatial Durbin model.

The growth accounting shows that contributions of growth of capital intensity (GKI) and total factor productivity growth (TFPG) distinguish the high-income (HI) regions from medium-income (MI) and lower-income (LI) regions in India. In the PRC, the contributions of GKI and TFPG in MI regions are slightly higher than HI regions, but significantly higher than the LI regions. The empirical results find that foreign direct investment (FDI), domestic investment, human capital, and interaction of FDI and human capital explain income growth states/provinces in India and the PRC. A region’s income growth and FDI inflows spread the benefit to neighbourhoods in both countries.

The paper contributes by performing a comparative analysis of Indian states and the PRC’s provinces by capturing the neighbourhood effects of economic growth, FDI, investment and human capital and also the interaction effects of FDI with human capital and domestic investment. A comparison of the decomposition of income growth to the growth of factor inputs and efficiency in Indian states and the PRC’s provinces also adds to the existing literature.

Based on the aerodynamic loads and dynamic performances of trains, this study aims to investigate the effect of crosswinds and raindrops on intercity trains operating on viaducts to ensure the safe operation of intercity railways in metropolitan areas.

An approach coupled with the Euler multiphase model as well as the standard k-ɛ turbulence model is used to investigate the coupled flow feature surrounding trains and viaducts, including airflow and raindrops, and the numerical results are validated with those of the wind tunnel test. Additionally, the train’s dynamic response and the operating safety region in different crosswind speeds and rainfall is investigated based on train’s aerodynamic loads and the train wheel–rail dynamics simulation.

The aerodynamic loads of trains at varying running speeds exhibit an increasing trend as the increase of wind speed and rainfall intensity. The motion of raindrop particles demonstrates a significant similarity with the airflow in wind and rain environments, as a result of the dominance of airflow and the supplementary impacts of droplets. As the train’s operating speed ranged between 120 and 200 km/h and within a rainfall range of 20–100 mm/h, the safe operating region of trains decreased by 0.56%–7.03%, compared with the no-rain condition (0 mm/h).

The impact of crosswind speeds and rainfall on the train’s aerodynamic safety is studied, including the flow feature of crosswind and different particle-sized raindrops around the train and viaduct, aerodynamic loads coefficients suffered by the intercity train as well as the operating safety region of intercity trains on the viaduct.

During the construction process of the China Railway Track System (CRTS) I type filling layer, the nonwoven fabric bags have been used as grouting templates for cement asphalt (CA) emulsified mortar. The porous structure of nonwoven fabrics endowed the templates with breathability and water permeability. The standard requires that the volume expansion rate of CA mortar must be controlled within 1%–3%, which can generate expansion pressure to ensure that the cavities under track slabs are filled fully. However, the expansion pressure caused some of the water to seep out from the periphery of the filling bag, and it would affect the actual mix proportion of CA mortar. The differences in physical and mechanical properties between the CA mortar under track slabs and the CA mortar formed in the laboratory were studied in this paper. The relevant results could provide important methods for the research of filling layer materials for CRTS I type and other types of ballastless tracks in China.

During the inspection of filling layer, the samples of CA mortar from different working conditions and raw materials were taken by uncovering the track slabs and drilling cores. The physical and mechanical properties of CA mortar under the filling layer of the slab were systematically analyzed by testing the electrical flux, compressive strength and density of mortar in different parts of the filling layer.

In this paper, the electric flux, the physical properties and mechanical properties of different parts of CA mortar under the track slab were investigated. The results showed that the density, electric flux and compressive strength of CA mortar were affected by the composition of raw materials for dry powders and different parts of the filling layer. In addition, the electrical flux of CA mortar gradually decreased within 90 days’ age. The electrical flux of samples with the thickness of 54 mm was lower than 500 C. Therefore, the impermeability and durability of CA mortar could be improved by increasing the thickness of filling layer. Besides, the results showed that the compressive strength of CA mortar increased, while the density and electric flux decreased gradually, with the prolongation of hardening time.

During 90 days' age, the electrical flux of the CA mortar gradually decreased with the increase of specimen thickness and the electrical flux of the specimens with the thickness of 54 mm was lower than 500 C. The impermeability and durability of the CA mortar could be improved by increasing the thickness of filling layer. The proposed method can provide reference for the further development and improvement of CRTS I and CRTS II type ballastless track in China.

Knowledge sharing usually happens in a work group context, but it is rarely know how group leaders influence their members’ knowledge-sharing performance. Based on social exchange theory (SET) and the perspective of positive organizational behavior (POB), this study aims to argue that a group leader’s positive leadership (e.g. empowering leadership) can help group members develop positive psychological capital which can increase their knowledge sharing.

The authors conduct a multilevel analysis to explore the interrelationship among empowering leadership, psychological capital and knowledge sharing. The sample includes 64 work groups consisting of 537 group members, and empirical testing is carried out by hierarchical linear modeling.

The results show that empowering leadership in a work group has a direct cross-level impact on members’ knowledge sharing and that psychological capital partially mediates the relationship between empowering leadership and knowledge sharing. As a result, this study shows that group leaders with positive leadership can help their members develop better positive psychological resources, which should lead to better knowledge sharing.

Based on the multilevel perspective and SET, this is the first study to explore how group leaders’ empowering leadership influences members’knowledge sharing. Depending on integrating the POB perspective into SET, this study is also the first one that connects two emerging and important research issues – POB and knowledge sharing.

From a functionalist perspective, this study aims to examine empirically how positive and negative emotions can exert influence on creativity in the workplace. This study built and tested a theoretical framework that delineates the effect of emotions on employee creativity through different learning mechanisms.

Field surveys were conducted in a Chinese company and data were collected from 340 employee-supervisor dyads.

The results indicate that positive emotions were positively related to task-related learning and interactional learning, both of which promote employee creativity. Task-related learning mediated the association between positive emotions and creativity. Nevertheless, negative emotions hindered employees from interactional learning and were negatively associated with creativity. Interactional learning mediated the association between negative emotions and creativity. Moreover, the interaction between positive and negative emotions was negatively associated with task-related learning.

This study contributes to the literature on emotions and employee learning by demonstrating the value of using a functionalist perspective through different procedural mechanisms for employee outcomes and exploring the mediation effects of different learning behaviors in promoting creativity.

Tourism via virtual reality (VR) technology has become an interesting option for consumers to “travel.” The best approaches to optimizing the VR tourism environment, improving the interactive experience of tourists and encouraging tourists to adopt VR are not yet fully understood. This study explores the willingness of tourists to adopt VR tourism from the dual aspects, richness and dynamics, of virtual social cues.

To examine the effects of richness (multiple vs. few cues) and dynamic (changeable vs. static cues) on consumers' willingness to adopt VR tourism, three virtual tourism scenes were designed and presented by head-mounted displays. The data were collected for participants in the VR laboratory and tested by ANOVA and partial least squares–structural equation modeling.

Virtual social cues can generate mental imagery through interactivity, vividness and parasocial interactions, thus increasing the consumer's likelihood of adopting VR tourism. It was also found that imagination moderates mental imagery and adoption intention. When the consumer's imagination is stronger, their mental imagery stimulates a stronger willingness to adopt VR tourism.

The authors innovatively utilize concepts of parasocial interaction and mental imagery and discuss the various influences and mediation mechanisms of social cue characteristics on consumers' adoption of VR tourism. The conclusions may provide new insights for VR tourism managers and tourism scholars.

World Heritage Sites (WHSs), as crucial tourist attractions, have been demonstrated to promote inbound tourism development; however, no study has analyzed its impact on the origin distribution of inbound tourist flows (ODITFs), leaving a research gap. This study aims to apply power law to assess ODITFs and explore the impact of WHSs on ODITFs.

This study applied the power law of rank-size distribution to calculate ODITFs in 167 countries/regions from 1997 to 2018 and used the panel data model to analyze the effect of WHSs on ODITFs.

WHSs could positively impact ODITFs to be more even. Among them, a cultural WHS shows a more pronounced effect on ODITFs, while the effect of natural WHSs is negligible.

This study advances knowledge about the impact of WHSs on inbound tourism from the standpoint of ODITFs, contributing to the inbound tourist flows theory and tourist attraction theory. In a realistic sense, WHSs, as crucial tourist attractions, could make ODITFs more even, implying that destination management organizations could gain higher growth of incremental tourists from tail markets rather than head markets when increasing tourist attractions.

全球视角下联合国教科文组织世界遗产（whs）对入境游客源地分布的影响

世界遗产地（WHS）作为重要的旅游景点, 已被证明可以促进入境旅游的发展。然而, 目前没有研究分析其对入境游客源地分布（ODITF）的影响。本文旨在应用幂律评估入境游客源地分布, 并探讨世界遗产对入境游客源地分布的影响。

本研究应用序位-规模分布的幂律计算1997年至2018年167个国家/地区的入境游客源地分布, 并使用面板数据模型分析世界遗产对入境游客源地分布的影响。

世界遗产可以对入境游客源地分布产生积极影响, 使入境游客源地分布更加均匀。其中, 世界文化遗产对入境游客源地分布的影响更为显着, 而世界自然遗产的影响可以忽略不计。

本文从入境游客源地分布的角度, 推进了世界遗产对入境旅游影响的认识, 为入境旅游流理论和旅游景点理论做出了贡献。在现实意义上, 世界遗产作为重要的旅游景点, 可以使入境游客源地分布更加均衡, 这意味着目的地管理组织在增加旅游景点时, 可以从尾部市场获得更多的游客增量。

El impacto del Patrimonio de la Humanidad de la UNESCO en la distribución del origen de los flujos turísticos entrantes desde una perspectiva global

Resumen

se ha demostrado que el Patrimonio de la Humanidad de la UNESCO, como atracciones turísticas cruciales, promueven el desarrollo del turismo receptor; sin embargo, ningún estudio ha analizado su impacto en la distribución del origen de los flujos turísticos entrantes (DOFTE), lo que deja un vacío en la investigación. Este documento tiene como objetivo aplicar la ley de potencias para evaluar la DOFTE y explorar el impacto del Patrimonio sobre ella.

este estudio aplicó la ley de potencias de la distribución del tamaño del rango para calcular la DOFTE en 167 países/regiones desde 1997 hasta 2018 y utilizó el modelo de datos de panel para analizar el impacto del Patrimonio de la Humanidad en la DOFTE.

el Patrimonio de la Humanidad podría influir positivamente en la DOFTE para que sea más uniforme. Entre ellos, el Patrimonio cultural muestra un efecto más pronunciado sobre la DOFTE, mientras que el efecto del Patrimonio natural es insignificante.

este artículo avanza en el conocimiento del impacto del Patrimonio de la Humanidad en el turismo entrante desde la perspectiva de la DOFTE, contribuyendo a la teoría de los flujos turísticos entrantes y a la teoría de la atracción turística. En un sentido realista, el Patrimonio de la Humanidad, como atracciones turísticas cruciales, podrían hacer que la DOFTE fuera más uniforme, lo que implica que las organizaciones de gestión de destinos (OGD) podrían obtener un mayor crecimiento de turistas incrementales procedentes de los mercados secundarios en lugar de los mercados principales al aumentar las atracciones turísticas.

This study aims to review the current one-step electrodeposition of superhydrophobic coatings on metal surfaces.

One-step electrodeposition is a versatile and simple technology to prepare superhydrophobic coatings on metal surfaces.

Preparing superhydrophobic coatings by one-step electrodeposition is an efficient method to protect metal surfaces.

Even though there are several technologies, one-step electrodeposition still plays a significant role in producing superhydrophobic coatings.