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The purpose of this paper is to study the impact of different types of textures on the friction lubrication performance of cylindrical roller bearings.

In the present study, the composite texture hydrodynamic lubrication model that takes into account the effects of surface roughness is established, and the Reynolds equation for the oil film is numerically solved using the finite difference method. The study investigates the oil film carrying capacity and maximum pressure of bearings under two different arrangements of four composite textures and conducts a comparative analysis of the oil film characteristics under various texture parameters and surface roughness levels.

When the roughness of the inner texture surface and the contact surface are equal, the bearing capacity of the composite texture is intermediate between the two textures. The impact trend of surface roughness on fluid dynamic pressure effects varies with the type of composite texture; the internal roughness of the texture affects the micro-hydrodynamic pressure action. Composite textures with different depths exhibit improved bearing capacities; elliptical cylindrical parallel and elliptical hemispherical parallel textures perform better when their area densities are similar, while other types of composite textures show enhanced bearing performance as the ratio of their area densities increases.

This paper contributes to the theoretical investigations and analyses on designing the textured rolling bearings with high lubrication performance.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0050

Visitor center plays an important role in the normal operation and sustainable development of scenic spots, especially as a portal image of its management. This paper presents resilience theory for visitor centers to identify some common issues in designing visitor centers in China scenic spots, including the lack of function, loss of architectural characteristics, and difficultly in adapting to changes in the number of visitors with periodic variations. The framework of resilience theory was set from four dimensions, namely, resilience and match in the composition of ontology function, the extended function, integration of buildings into the surrounding environment, and alternative construction technologies and materials. This theory was explained and analyzed with the application of the theory in practice in combination with the design of Mount Hua visitor center. Results showed that resilience theory yields good application effect.

In this study, the Models-3/Community Multiscale Air Quality Model (CMAQ) coupled with the Mesoscale Modeling System Generation 5 (MM5) was employed to simulate the air pollution episodes over East Asia, northern China Plain (NCP), and southern Hebei (SHB), at a grid resolution of 36, 12, and 4 km, respectively in Oct. 2012. The PM₁₀ concentrations over SHB at 12-km are overpredicted with NMBs of 34.6% to 45.7% and also overestimated with that of 72.1% to 97.5% at 4-km which applied such a fine grid resolution over the SHB for the first time. It indicated that the simulation at 12-km performs better than the 4-km which may be related to the spatial allocation of the emissions, the lack of dust emissions and the limitations of model treatments. Five heavy episodes show the characteristics of sawtooth-shaped cycles over the NCP in fall (i.e. the maximum of PM₁₀ was up to 885.1 µg m⁻³ and PM_2.5 was up to 438.4 µg m⁻³ in Handan city) which resulting in the deterioration of visibility and periodically haze days. The concentrations of OC, EC, SO₄²⁻, NO₃⁻ and NH₄⁺ were significantly higher in heavy episodes than non-heavy pollution episodes. In comparison with other cities ([NO₃⁻]/[SO₄²⁻] > 1) at 12-km, the monthly-mean mass ratio of [NO₃⁻]/[SO₄²⁻] at Taiyuan (0.17−0.73), Shijiazhuang (0.28−2.34) was 0.43, 0.84 respectively, which means the stationary sources emissions were more important than the vehicle emission in the source areas. The influence of the regional transportation for pollutants compared with local emission was also an important factor for heavy pollution episodes. The regional joint framework should be established along with controlling the local emission over the SHB in China to improve the air quality.

Selecting suitable and competent partners is an important prerequisite to improve the performance of collaborative product innovation (CPI). The purpose of this paper is to propose an integrated multi-criteria approach and a decision optimization model of partner selection for CPI from the perspective of knowledge collaboration.

First, the criteria for partner selection are presented, considering comprehensively the knowledge matching degree of the candidates, the knowledge collaborative performance among the candidates, and the overall expected revenue of the CPI alliance. Then, a quantitative method based on the vector space model and the synergetic matrix method is proposed to obtain a comprehensive performance of candidates. Furthermore, a multi-objective optimization model is developed to select desirable partners. Considering the model is a NP-hard problem, a non-dominated sorting genetic algorithm II is developed to solve the multi-objective optimization model of partner selection.

A real case is analyzed to verify the feasibility and validity of the proposed model. The findings show that the proposed model can efficiently select excellent partners with the desired comprehensive attributes for the formation of a CPI alliance.

Theoretically, a novel method and approach to partner selection for CPI alliances from a knowledge collaboration perspective is proposed in this study. In practice, this paper also provides companies with a decision support and reference for partner selection in CPI alliances establishment.

The paper proposes a two-level closed-loop supply chain (CLSC) dynamic competitive model based on different competitive cooperation situations, and explores the impact of competitive cooperation methods on the pricing strategies, recycling and remanufacturing strategies and competitive model selection strategies of supply chain firms.

This paper establishes a CLSC game consisting of a manufacturer and two retailers. Firstly, five CLSC models are established in both horizontal and vertical dimensions, each of which competes with one another. Secondly, the recycling and remanufacturing pricing strategies are analyzed under different competition or cooperation models. Finally, the results are verified through numerical analysis.

The overall profitability of the CLSC is highest when the manufacturer–retailer partnership alliance is in place. The relationship between retailers and manufacturers is also found to be the best way to achieve overall optimization of the CLSC.

The paper investigates the relationship between the competitive partnership and the total profit of the CLSC, taking into account how to optimize the overall benefit, and focusing on how to optimize the individual interests of each participating enterprise. The results can provide basis and guidance for managers' pricing decision and competition cooperation.

The prediction of by-product gas is an important guarantee for the full utilization of resources. The purpose of this research is to predict gas consumption to provide a basis for gas dispatch and reduce the production cost of enterprises.

In this paper, a new method using the ensemble empirical mode decomposition (EEMD) and the back propagation neural network is proposed. Unfortunately, this method does not achieve the ideal prediction. Further, using the advantages of long short-term memory (LSTM) neural network for long-term dependence, a prediction method based on EEMD and LSTM is proposed. In this model, the gas consumption series is decomposed into several intrinsic mode functions and a residual term (r(t)) by EEMD. Second, each component is predicted by LSTM. The predicted values of all components are added together to get the final prediction result.

The results show that the root mean square error is reduced to 0.35%, the average absolute error is reduced to 1.852 and the R-squared is reached to 0.963.

A new gas consumption prediction method is proposed in this paper. The production data collected in the actual production process is non-linear, unstable and contains a lot of noise. But the EEMD method has the unique superiority in the analysis data aspect and may solve these questions well. The prediction of gas consumption is the result of long-term training and needs a lot of prior knowledge. Relying on LSTM can solve the problem of long-term dependence.

Drawing from resource orchestration theory, this research proposed an integrative model that leverages insights into counter resource constraints and uncertainty in start-up business model innovation (BMI). It investigated the influences of entrepreneurial networks and effectuation on BMI through bricolage in uncertain environments.

The research surveyed 481 start-ups in China. LISREL 8.80 and SPSS 22.0 were employed to test the validity and reliability of key variables, respectively. Additionally, hypotheses were examined through multiple linear regression.

First, entrepreneurial networks and effectuation were positively related to BMI, and combining these two factors improved BMI for start-ups. Second, bricolage contributed to BMI and played mediating roles in translating entrepreneurial networks and effectuation into BMI. Third, environmental uncertainty weakened the linkage between bricolage and BMI.

Future research should replicate the results in other countries because only start-ups in China were investigated in the study, and it is necessary to extend this research by gathering longitudinal data. This research emphasized the mediating effects of bricolage and the moderating influence of environmental uncertainty, and new potential mediating and moderating factors should be explored between resources and BMI.

There are three significant theoretical contributions. First, the findings enrich the literature on the complex antecedents of BMI by combining the impacts of entrepreneurial networks and effectuation. Second, an overarching framework is proposed explaining how bricolage (resource management) links entrepreneurial networks and effectuation and BMI. Third, it demonstrates the significance of environmental uncertainty in the bricolage–BMI linkage, deepening the understanding of the bricolage boundary condition.

Aiming at the unbalancing problem of the neutral equilibrium characteristic for balance hoist in the loading process, the purpose of this paper is to establish a dynamic equation for multi-body using the Lagrange method. It is not difficult to find that the deformation of the boom system has a great influence on the stability of the whole system, through the simulation analysis of the multi-rigid-body system model.

Aiming at the unbalancing problem of the neutral equilibrium characteristic for balance hoist in the loading process, the dynamic equation for multi-body is established by Lagrange method. It is not difficult to find that the deformation of the boom system has a great influence on the stability of the whole system, through the simulation analysis of the multi-rigid-body system model.

Result shows that different weights have a great influence on the force deformation and vibration of the boom system of balance hoist. With the increase in lifting weight, the force and deformation of the boom system increase; lead to balance hoist unique with characteristics of indifferent equilibrium, proportional amplification, labor-saving operation will be lost, easy to cause the imbalance of balance hoist. Therefore, the appropriate increase in the basic length of the compression bar, reduction in the basic length of the tension rod and the increase stiffness of the boom system can improve the stability of balance hoist, which provides a reference for the optimization and manufacture of the balance hoist structure.

The simulation model was established by analyzing the working principle and the load condition of the balance hoist, and the simulation and dynamic characteristics of three typical working conditions are analyzed by using ADAMS; result shows that different weights have a great influence on the force deformation and vibration of the boom system of balance hoist. With the increase in lifting weight, the force and deformation of a boom system increase, lead to balance hoist unique with characteristics of indifferent equilibrium, proportional amplification, labor-saving operation will be lost, easy to cause the imbalance of balance hoist.

This study aims to examine the role of women’s career expectations (CEs) in changes in their career advancement (CA) and to determine whether these changes were because of socio-demographic factors.

Multiple linear regression was used to measure the relationship between women’s CEs and CA, as well as the influences that socio-demographic factors (e.g. education) have on that relationship.

Results indicated that CEs had two dimensions (i.e. career rewards and career development) and that career reward expectations had a significantly higher effect on CA than career development expectations. Furthermore, women were very likely to set higher CEs and stronger desires for CA as they became older. Results also showed that education, working years and position level were significantly related to women’s CA.

This study provides new insight into which aspects of women’s CA can be boosted by CEs and how these aspects may be affected by socio-demographic factors. This study can help hotels design better career management strategies to achieve the desired results. The study also provides guidance for women’s career management activities.

This study considers women’s CEs in hotels. The results revealed two dimensions (i.e. career rewards and career development) of CEs and uncovered the influences of socio-demographic factors on women’s CA, for example, age, education, working years and position level.

基于对酒店业两个变量（即职业期望和职业晋升）的理解, 本研究旨在考察职业期望在妇女职业晋升变化中的作用, 并确定这些变化是否由社会人口特征因素引起。

采用问卷调查的方式收集数据。采用多元线性回归来衡量女性职业期望和职业晋升之间的关系, 以及社会人口特征因素（如教育）对这种关系的影响。

结果表明, 职业期望有两个维度（即职业奖励和职业发展）, 职业奖励期望对职业晋升的影响明显高于职业发展期望。此外, 随着年龄的增长, 女性倾向于有更高的职业期望和更强烈的职业晋升愿望。结果还显示, 受教育程度、工作年限、职位级别与女性的职业晋升显著相关。

这项研究为女性职业期望在哪些方面可以促进职业发展以及社会人口特征因素如何影响这些方面受到的提供了新的见解。这项研究可以帮助酒店设计更好的职业管理策略, 以达到预期效果。本研究也为女性的职业管理活动提供了指导。

本研究将职业期望引入酒店业中女性员工职业发展研究。结果显示职业期望的两个维度（即职业奖励和职业发展）, 并揭示了社会人口学因素如年龄、学历、工作年限和职位级别等对女性职业晋升发展的影响, 。

basado en la comprensión de dos variables (es decir, expectativas profesionales y avance profesional) en la industria hotelera, este estudio tuvo como objetivo examinar el papel de las expectativas profesionales en los cambios en el avance profesional de las mujeres y determinar si estos cambios se debieron a factores sociodemográficos.

Se Utilizó Un Cuestionario Para Recopilar Datos. Se Utilizó La Regresión Lineal Múltiple Para Medir La Relación Entre Las Expectativas Profesionales De Las Mujeres Y El Avance Profesional, Así Como Las Influencias Que Los Factores Sociodemográficos (Por Ejemplo, La Educación) Tienen En Esa Relación.

Los Resultados Indicaron Que Las Expectativas De Carrera Tenían Dos Dimensiones (Es Decir, Recompensas De Carrera Y Desarrollo De Carrera) Y Que Las Expectativas De Recompensa De Carrera Tenían Un Efecto Significativamente Mayor En El Avance De La Carrera Que Las Expectativas De Desarrollo De Carrera. Además, Las Mujeres Tenían Más Probabilidades De Tener Expectativas Profesionales Más Altas Y Deseos Más Fuertes Para Avanzar En Su Carrera A Medida Que Envejecían. Los Resultados También Mostraron Que La Educación, Los Años De Trabajo Y El Nivel De Posición Estaban Significativamente Relacionados Con El Avance Profesional De Las Mujeres.

Este Estudio Proporciona Una Nueva Perspectiva Sobre Qué Aspectos Del Avance Profesional De Las Mujeres Pueden Ser Impulsados Por Las Expectativas Profesionales Y Cómo Estos Aspectos Pueden Verse Afectados Por Factores Sociodemográficos. Este Estudio Puede Ayudar A Los Hoteles A Diseñar Mejores Estrategias De Gestión Profesional Para Lograr Los Resultados Deseados. El Estudio También Proporciona Orientación Para Las Actividades De Gestión Profesional De Las Mujeres.

este estudio considera las expectativas profesionales de las mujeres en la industria hotelera. Los resultados revelaron dos dimensiones (es decir, recompensas profesionales y desarrollo profesional) de las expectativas profesionales y descubrieron las influencias de los factores sociodemográficos en el avance profesional de las mujeres, por ejemplo, edad, educación, años de trabajo y nivel de posición.

The purpose of this paper is to examine the influence of human resource management (HRM) reforms on job-related well-being of academics in Chinese universities. It also tests the mediating effect of work intensification (WI) and affective commitment (AC), and the moderating effect of perceived organizational justice (OJ) on the HRM‒well-being relationship to understand the influence mechanisms and boundary conditions.

A questionnaire survey was conducted in 25 Chinese universities, obtaining 638 usable questionnaires. Structural equation modeling (SEM) was used as the analytical technique to examine the model fit and test hypotheses.

The findings reveal that the relationship of HRM and well-being is neither direct nor unconditional, and a win‒win scenario for both management and employee well-being is possible when organizations pursue HRM innovations.

The limitations of this study are that data were collected at once and at a defined time, with no time lag being involved. In addition, all variables were self-reported.

Commitment-oriented HRM practices can create a win‒win scenario; when control-oriented HRM practices are necessary, managers should ensure OJ to offset their negative influence on employees.

This study is among the first to examine the impact of HRM on employee well-being in the context of Chinese higher education, contributing to the limited studies on HRM in Chinese public sector and the on-going debate on the nature of HRM in China.