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This paper aims to present the impact analysis of payload rendezvous with tethered satellite system and the design of an adaptive sliding mode controller which can deal with mass parameter uncertainty of targeted payload, so that the proposed cislunar transportation scheme with spinning tether system could be extended to a wider and more practical range.

In this work, dynamical model is first derived based on Langrangian equations to describe the motion of a spinning tether system in an arbitrary Keplerian orbit, which takes the mass of spacecraft, tether and payload into account. Orbital design and optimal open-loop control for the payload tossed by the spinning tether system are then presented. The real payload rendezvous impact around docking point is also analyzed. Based on reference acceleration trajectory given by optimal theories, a sliding mode controller with saturation functions is designed in the close-loop control of payload tossing stage under initial disturbance caused by actual rendezvous error. To alleviate the influence of inaccurate/unknown payload mass parameters, the adaptive law is designed and integrated into sliding mode controller. Finally, the performance of the proposed controller is evaluated using simulations. Simulation results validate that proposed controller is found effective in driving the spinning tether system to carry payload into desired cislunar transfer orbit and in dealing with payload mass parameter uncertainty in a relatively large range.

The results show that unideal rendezvous manoeuvres have significant impact on in-plane motion of spinning tether system, and the proposed adaptive sliding mode controller with saturation functions not only guarantees the stability but also provides good performance and robustness against the parameter and unstructured uncertainties.

This work addresses the analysis of actual impact on spinning tether system motion when payload is docking with system within tolerated docking window, rather than at the particular ideal docking point, and the robust tracking control of deep-space payload tossing missions with the spinning tether system using the adaptive sliding mode controller dealing with parameter uncertainties. This combination has not been proposed before for tracking control of multivariable spinning tether systems.

This paper aims to establish a mathematical model for water-flooding considering the impact of fluid–solid coupling to describe the process of development for a low-permeability reservoir. The numerical simulation method was used to analyze the process of injected water channeling into the interlayer.

Some typical cores including the sandstone and the mudstone were selected to test the permeability and the stress sensitivity, and some curves of the permeability varying with the stress for the cores were obtained to demonstrate the sensitivity of the formation. Based on the experimental results and the software Eclipse and Abaqus, the main injection parameters to reduce the amount of the injected water in flowing into the interlayer were simulated.

The results indicate that the permeability of the mudstone is more sensitive to the stress than sandstone. The injection rate can be as high as possible on the condition that no crack is activated or a new fracture is created in the development. For the B82 block of Daqing oilfield, the suggested pressure of the production pressure should be around 1–3MPa, this pressure must be gradually reached to get a higher efficiency of water injection and avoid damaging the casing.

This work is beneficial to ensure stable production and provide technical support to the production of low permeability reservoirs containing an interlayer.

This paper aims to investigate the equivalent relationship of accelerated corrosion and compilation method of environmental spectrum of corroded steel wires.

Based on Faraday’s law and the principle of equivalent corrosion damage, the method for compiling the equivalent environmental spectrum of accelerated corrosion was established. The equivalent conversion relationship of steel wire under different temperature and pH conditions and the relationship between corrosion factors and corrosion rate through the electrochemical tests were proposed.

The high temperature had a greater impact on the equivalent conversion coefficient than the low temperature. When the temperature increased from 15°C to 60°C, the equivalent conversion coefficient increased by about 3–6 times. The weak acid had a greater impact on equivalent conversion coefficient compared with strong acid. The effect of temperature on the equivalent conversion coefficient was much greater than that of pH value.

The compilation method of corrosion environment spectrum of bridge operation and the calculation method of corrosion depth proposed in this paper were reasonable, and the corrosion depth and service life of cable components could be predicted.

The present study aims to examine how and when authoritarian leadership affects employee creativity. Based on social exchange theory and team identification literature, the present research attempts to simultaneously explore how leader–member exchange (LMX) and team identification serve as two important mediating processes in the relationship between authoritarian leadership and employee creativity. Furthermore, this research uncovers the mechanism under which conditions the effects of authoritarian leadership will be magnified or minimized.

A survey has been conducted in China by using a questionnaire to collect data. The study sample consisted of 325 employees. LISREL 8.7 and SPSS 18.0 were used to test the mediating and moderating effects, respectively.

Results from 325 employees revealed that both LMX and team identification mediated the negative relationships between authoritarian leadership and employee creativity. Specifically, the relationship between two mediators was that LMX was positively related to team identification. In addition, the relationship between authoritarian leaderships and LMX and team identification was moderated by power distance, such that the negative relationships will be weaker with high power distance and stronger with low power distance.

First, firms and managers should recognize and take actions to reduce the negative effects of authoritarian leadership, such as effective selection system and interventional mechanisms because authoritarian leadership is important in influencing employee creativity. Second, managers are suggested to take specific actions, such as increasing communications and team-building activities, to promote LMX and team identification, thereby enhancing employee creativity. Third, managers should engage in behaviors that motivate employee creativity, such as empowerment behaviors, other than authoritarian leadership, when the employee has low power distance.

The primary contribution of this research is that two psychological processes (i.e. LMX and team identification) have been identified through which authoritarian leadership is related to employee creativity. Meanwhile, this study explores the relationship between LMX and team identification. Moreover, the current research deepens our understanding of power distance by empirically examining the moderating effect of power distance. Overall, the findings extend our understanding about the relationship between authoritarian leadership and employee creativity and contribute to literature on authoritarian leadership and creativity.

This research explores the influence of authoritarian leadership on employee creativity as mediated by employee creative self-efficacy, moderated by benevolent leadership and power distance.

A survey sample of 325 employees was collected from Chinese companies in different industries. The hypotheses were tested adopting a hierarchical regression and a bootstrapping test.

Employee creative self-efficacy partially mediated the association between authoritarian leadership and employee creativity. The negative impacts of authoritarian leadership on employee creative self-efficacy can be moderated by benevolent leadership. Additionally, the moderation effects of benevolent leadership can be moderated by power distance, which means that these moderation effects of benevolent leadership are significant only in subordinates with low levels of power distance.

An organization should be conscious of the perniciousness of an authoritarian leader and is better for leaders not to show contradictory behaviors to employees. Moreover, when leaders exhibit inconsistent behaviors, they should be sensitive to employee power distance.

Previous studies have been done to explore the predictors of employee creativity. Yet, studies for the impacts of destructive leadership styles on employee creativity are lacking. This study introduces employee creative self-efficacy as a mediator of the relationship between authoritarian leadership and employee creativity. In addition, benevolent leadership and power distance are identified as two boundary conditions to explore the impacts of authoritarian leadership.

This paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service applications. Literature research is an important method to acquire scientific and technical information which is important for research, development and innovation of science and technology. It is difficult but urgently required to acquire accurate, timely, rapid, short and comprehensive information from the large-scale and fast-growing literature, especially in the big data era. Existing literature-based information retrieval systems focus on basic data organization, and they are far from meeting the needs of information analytics. It becomes urgent to organize and analyze scientific research events related to scientific and technical literature for forecasting development trend of science and technology.

Scientific literature such as a paper or a patent is represented as a scientific research event, which contains elements including when, where, who, what, how and why. Metadata of literature is used to formulate scientific research events that are implied in introduction and related work sections of literature. Named entities and research objects such as methods, materials and algorithms can be extracted from texts of literature by using text analysis. The authors semantically link scientific research events, entities and objects, and then, they construct the event space for supporting scientific and technical information analysis.

This paper represents scientific literature as events, which are coarse-grained units comparing with entities and relations in current information organizations. Events and semantic relations among them together formulate a semantic link network, which could support event-centric information browsing, search and recommendation.

The proposed model is a theoretical model, and it needs to verify the efficiency in further experimental application research. The evaluation and applications of semantic link network of scientific research events are further research issues.

This paper regards scientific literature as scientific research events and proposes an approach to semantically link events into a network with multiple-typed entities and relations. According to the needs of scientific and technical information analysis, scientific research events are organized into event cubes which are distributed in a three-dimensioned space for easy-to-understand and information visualization.

Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.

Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.

The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.

The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.

The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.

Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.

This paper aims to research steel wire corrosion pitting distribution characteristics and evolution, the shape, number and size of corrosion pits from one tied arch bridge were tested, analyzed and researched.

The probability distribution model of corrosion pits of different shapes was established, and the law of corrosion pit growth and evolution was researched. The relationship between the steel wire local corrosion parameters and the average degree of corrosion was explored.

The results revealed that the pits of steel wires can be divided into four categories of shapes: a deep ellipsoidal shape, a shallow ellipsoidal shape, a groove shape and a saddle shape. When developing to a certain degree, the small dark narrow type corrosion pit will turn into a large open pit of either a shallow ellipsoidal shape, a groove shape or a saddle shape.

The maximum depth of the corrosion pits was close to the Weibull distribution, and the maximum width and length of the wire corrosion pits were close to the logarithmic normal distribution, causing a large error when using a uniform corrosion model of steel wire mechanics.

Team autonomy is thought to be important for team innovation performance. However, the theoretical basis of the relationship between team autonomy and team innovation performance is not well understood, and previous studies have found inconsistent relations between them. Based on motivated information processing in groups (MIP-G) theory, this paper aims to explain how and when team autonomy could influence team innovation performance from a new team-level perspective.

Using a two-wave, time-lagged survey design, the authors collected data from 340 members of 86 teams in China. PROCESS 3.0 for SPSS was used to test hypothesized relationships.

The results show that team autonomy is positively related to team information exchange. Team information exchange mediates the positive relationship between team autonomy and team innovation performance. Furthermore, the positive relationship between team autonomy and team information exchange is stronger with less task conflict, which runs contrary to the hypothesis. Additionally, relationship conflict does not adjust the impact of team autonomy on team information exchange.

This study provides a new perspective to explain the mechanism between team autonomy and team innovation performance at team level from the information processing approach, specifically, MIP-G theory. It also incorporates team conflicts as important contextual factors to answer the call for a wider study of boundary conditions in the team autonomy research.