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Building on the theory of brand psychological ownership, this paper aims to explore the mediating role of brand psychological ownership in the relationship between brand personality (innocence/coolness) and consumers’ preferences, as well as identify the boundary conditions of this relationship.

To test the hypotheses, a series of four experiments were conducted in Wuhan, a city in southern China, using questionnaires administered at two universities and two supermarkets. Hypotheses were tested using PLS-SEM in SmartPLS 4.

The results indicate that brand personality, specifically the dimensions of innocence and coolness, has a significant impact on consumers’ brand preferences. Brands with a cool personality are preferred over those with an innocent personality. Moreover, the relationship between brand personality and consumers’ brand preferences is moderated by power motivation and identity centrality.

This study contributes to the literature by differentiating between brand personality of innocence and coolness as two separate constructs and proposing brand psychological ownership as a mechanism through which brand personality affects brand preferences. The study’s samples were drawn from universities and supermarkets in southern China, providing evidence for the significant moderating effects of power motivation and identity centrality on consumers’ brand preferences.

At the center of apple production province in China, how to increase apple per unit yield and to improve apple production efficiency in Shaanxi become big issues. The objectives of this paper are to investigate the technical efficiency (TE) and cost efficiency (CE) of apple orchard and to analyse determinants which affect apple production efficiency. The paper aims to discuss these issues.

This paper conducts a two‐stage DEA to achieve the objectives. In the first‐stage, a cost minimization model is applied to measure apple production efficiency. Then, a Tobit model is provided to estimate regression coefficients which are used to adjust the efficiency scores in the first‐stage.

The results indicate that TE and CE are rather low in Shaanxi. The research also explores that the inefficient production of apple farmers is caused mainly by two aspects. One is the inefficient apple orchards operation of farmers. The other is the disadvantageous environmental conditions which heavily affect apple growth and fruit bearing situation.

Most of the research are based on national statistical data, and only measure the TE. This paper primarily focuses on the estimation of efficiency scores with the data involved in both quantity and price information of traditional inputs and outputs based on 255 apple farmers in Shaanxi. Specifically, This paper also consider farmer's opportunity cost to which little literature refers. The results not only reveal the efficient determinants of apple production, but also provide suggestions for agricultural policy makers.

Industrial land renewal is a significant constituent of urban environment and sustainable development. Most implementation in planning of renewal of industrial land has been mainly conducted at the site level of industrial zones or parks and the larger scale of township planning deserve further attention in China. To fill this gap, this paper aims to investigate the implementation of industrial land renewal for a whole urbanized area under the township master planning.

This study introduces a progressive approach to identify and evaluate the renewal of industrial land in township master planning to move toward a more practical understanding of industrial transition. The authors chose a typical industrialized town, Lijia in Changzhou City, under the development model of “Southern Jiangsu” to explain the measurement and assessment framework to identify and evaluate the renewable industrial land. Synthesizing the idea of sustainable development, the authors investigated the renewable industrial land with an econometric model including multiple-indexes of economic, social and ecological aspects, field observations and depth interviews.

The analysis demonstrated the spatial heterogeneity and complex generous structure of industrial land renewal in developing countries. It pointed out the major responsibility of enterprises as main industrial land users and indispensable responsibility of government and society. Following the idea of organic concentration and avoiding one-size-fits-all kind of deal, the master planning of Lijia emphasized the connection of industrial land and the combination of market force, social force and government regulation.

With original data and discussion, the authors provide more scientific renewal strategies for planners in sustainable development.

The purpose of this paper is to present an actuator fault detection method for unmanned aerial vehicles (UAVs) based on interval observer and extended state observer.

The proposed algorithm has very little model dependency. Therefore, a six-degree-of-freedom linear equation of UAVs is first established, and then, combined with actuator failure and external disturbances in flight control, a steering gear model with actuator failure (such as stuck bias and invalidation) is designed. Meanwhile, an extended state observer is designed for fault detection. Moreover, a fault detection scheme based on interval observer is designed by combining fault and disturbances.

The method is testified on the extended state observer and the interval observer under the failure of the steering gear and bounded disturbances. The simulation results show that the two types of fault detection schemes designed can successfully detect various types of faults and have high sensitivity.

This research paper studies the failure detection scheme of the UAVs’ actuator. The fault detection scheme in this paper has better performance on actuator faults and bounded disturbances than using regular fault detection schemes.

Docking technology plays a crucial role in enabling long-duration operations of autonomous underwater vehicles (AUVs). Visual positioning solutions alone are susceptible to abnormal drift values due to the challenging underwater optical imaging environment. When an AUV approaches the docking station, the absolute positioning method fails if the AUV captures an insufficient number of tracers. This study aims to to provide a more stable absolute position visual positioning method for underwater terminal visual docking.

This paper presents a six-degree-of-freedom positioning method for AUV terminal visual docking, which uses lights and triangle codes. The authors use an extended Kalman filter to fuse the visual calculation results with inertial measurement unit data. Moreover, this paper proposes a triangle code recognition and positioning algorithm.

The authors conducted a simulation experiment to compare the underwater positioning performance of triangle codes, AprilTag and Aruco. The results demonstrate that the implemented triangular code reduces the running time by over 70% compared to the other two codes, and also exhibits a longer recognition distance in turbid environments. Subsequent experiments were carried out in Qingjiang Lake, Hubei Province, China, which further confirmed the effectiveness of the proposed positioning algorithm.

This fusion approach effectively mitigates abnormal drift errors stemming from visual positioning and cumulative errors resulting from inertial navigation. The authors also propose a triangle code recognition and positioning algorithm as a supplementary approach to overcome the limitations of tracer light positioning beacons.

The purpose of this paper is to improve the robustness of the traditional Bhattacharyya metric for the effect of histogram quantization in the histogram-based visual tracking. However, the traditional Bhattacharyya metric neglects the correlation of crossing-bin and is not robust for the effect of histogram quantization.

In this paper, the authors propose a visual tracking method via crossing-bin histogram Bhattacharyya similarity in the particle filter.

A crossing-bin matrix is introduced into the traditional Bhattacharyya similarity for measuring the reference histogram and the candidate histogram, and the basic tasks of measure such as maximum similarity of self and the triangle inequality are proven. The authors use the proposed measure in the particle filter visual tracking framework and address a model update strategy based on the crossing-bin histogram Bhattacharyya similarity to improve the robustness of visual tracking.

In the experiments using the famous challenging benchmark sequences, precision of the proposed method increases by 12.8 per cent comparing the traditional Bhattacharyya similarity and the cost time decreases by 38 times comparing the incremental Bhattacharyya similarity. The experimental results show that the proposed method can track the object robustly and rapidly under illumination change and occlusion.

This study aims to explore the impact of leader emotional labor on employee voice. According to the emotion as information theory and the voice as a deliberate decision-making process framework, this study develops and tests a model that examines the mediating effects of psychological safety and perceived voice efficacy in this relationship.

This study conducted two studies to test hypotheses. Study 1 used a quantitative research methodology using a two-wave survey of 435 employees and 58 leaders in China. The research model was analyzed using multilevel path analyses. Study 2 collected 301 full-time employees from Prolific Platform. Hypotheses were tested using Mplus.

The results in Study 1 reveal that leader deep acting has a positive indirect relationship with employee voice via psychological safety. Conversely, leader surface acting has a negative indirect effect on employee voice through psychological safety. The results in Study 2 supported the hypotheses.

This study contributes to the voice as a deliberative process literature by introducing leader emotional labor as an antecedent of voice behavior. Additionally, this study indicates that perceived psychological safety and perceived voice efficacy are two important mediating mechanisms for implementing voice behavior.

The construction collapse is one of the most serious accidents since it has several attributes (e.g. accident type and consequence) and its occurrence involves various kinds of causal factors (e.g. human factors). The impact of causal factors on construction collapse accidents and the interrelationships among causal factors remain poorly explored. Thus, the purpose of this paper is to use association rule mining (ARM) for cause analysis of construction collapse accidents.

An accident analytic framework is developed to determine the accident attributes and causal factors, and then ARM is introduced as the method for data mining. The data are from 620 historical accident records on government websites of China from 2010 to 2020. Through the generated association rules, the impact of causal factors and the interrelationships among causal factors are explored.

Collapse accident is easily caused by human factors, material and machine condition and management factors. Furthermore, the results show a close interrelationship between many causal factors and construction scheme and organization. The earthwork collapse is greatly related to environmental condition and the scaffolding collapse is greatly related to material and machine condition.

This study found relevant knowledge about the key causes for different types of construction collapses. Besides, several suggestions are further provided for construction units to prevent construction collapse accidents.

This study uses data mining methods to extract knowledge about the causes of collapse accidents. The impact of causal factors on various types of construction collapse accidents and the interrelationships among causal factors are explained from historical accident data.

The purpose of this paper is to construct a series of narratives by assessing a selection of the key literature generated by Open House International (OHI) over a period of 15 years. The paper also presents a brief review of the latest developments of the journal while introducing concise observations on the articles published in this edition – Volume 45, Issues 1 and 2.

Through a classification procedure of selected special issues published by OHI since 2006, 10 issues were identified based on the currency of the issues they generated. Following the review of the editorials, the key content of more than 100 articles within these special issues, the content of this edition and relevant seminal literature, the analysis engages, through critical reflection, with various themes that echo the polyphonic nature of built environment research.

The analysis conveys the plurality and diversity in built environment research where generic types of narratives are established to include three categories, namely, leitmotif, contextual/conceptual and open-ended narratives. Each of which includes sub-narrative classifications. The leitmotif narrative includes design studio pedagogy, sustainable environments for tourism, responsive learning environments, affordable housing environments, diversity in urban environments and urbanism in globalised environments. The contextual/conceptual narrative encompasses architecture and urbanism in the global south and the tripartite urban performance and transformation. The open-ended narrative embraces thematic reflections on the contributions of this edition of OHI.

Constructing polyphonic narratives in built environment research based on contemporary knowledge is original in the sense of capturing the crux of the themes within these narratives and articulating this in a pithy form. The elocution of the narratives stimulates a sustained quest for re-thinking concepts, notions and issues of concerns while invigorating research prospects and setting the future direction of OHI.