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Simultaneous localization and map building (SLAM), as a state estimation problem, is a prerequisite for solving the problem of autonomous vehicle motion in unknown environments. Existing algorithms are based on laser or visual odometry; however, the lidar sensing range is small, the amount of data features is small, the camera is vulnerable to external conditions and the localization and map building cannot be performed stably and accurately using a single sensor. This paper aims to propose a laser three dimensions tightly coupled map building method that incorporates visual information, and uses laser point cloud information and image information to complement each other to improve the overall performance of the algorithm.

The visual feature points are first matched at the front end of the method, and the mismatched point pairs are removed using the bidirectional random sample consensus (RANSAC) algorithm. The laser point cloud is then used to obtain its depth information, while the two types of feature points are fed into the pose estimation module for a tightly coupled local bundle adjustment solution using a heuristic simulated annealing algorithm. Finally, the visual bag-of-words model is fused in the laser point cloud information to establish a threshold to construct a loopback framework to further reduce the cumulative drift error of the system over time.

Experiments on publicly available data sets show that the proposed method in this paper can match its real trajectory well. For various scenes, the map can be constructed by using the complementary laser and vision sensors, with high accuracy and robustness. At the same time, the method is verified in a real environment using an autonomous walking acquisition platform, and the system loaded with the method can run well for a long time and take into account the environmental adaptability of multiple scenes.

A multi-sensor data tight coupling method is proposed to fuse laser and vision information for optimal solution of the positional attitude. A bidirectional RANSAC algorithm is used for the removal of visual mismatched point pairs. Further, oriented fast and rotated brief feature points are used to build a bag-of-words model and construct a real-time loopback framework to reduce error accumulation. According to the experimental validation results, the accuracy and robustness of the single-sensor SLAM algorithm can be improved.

Drawing on justice theory, this study aims to investigate the determinants and consequences of post-recovery satisfaction in a business-to-business (B2B) sales environment. In addition, customer demandingness is used as a moderator in this study to assess the relationship between distributive justice (DJ), procedural justice (PJ) and interactional justice (IJ) and post-recovery satisfaction.

A conceptual framework was developed by testing five hypotheses based on data collected from 337 salesperson–customer dyads.

The findings of this study reveal that DJ, PJ and IJ are positively linked with post-recovery satisfaction. In addition, post-recovery satisfaction negatively impacts customer distrust. On the contrary, customer distrust positively influences value co-creation behavior and has a negative impact on trusting intention. Finally, the customer’s level of demandingness significantly and positively moderates the linkage between the dimensions of justice perception and post-recovery satisfaction.

Despite extensive literature on distrust, a research model that examines customers’ distrust attitudes toward service failure and B2B recovery satisfaction needs to be developed and validated. In this regard, the authors developed a framework to measure post-recovery satisfaction and its association with customers’ distrust in B2B a context.

Accident and Emergency (A&E) departments are increasingly popular venues for primary care, causing a serious threat to healthcare quality. This paper reports the development of a comprehensive research method for identifying primary care patients attending A&E. Patients were randomly selected from the four A&E departments across different time periods and different regions in Hong Kong. The definition of GP cases was based on a retrospective record review conducted by a panel of emergency physicians using the standard laid down by the Hong Kong College of Family Physicians. The patients sampled were similar in sex and age distribution to A&E attendees for the whole territory. The level of GP cases was found to be 57 per cent, with a significantly higher proportion of patients in the younger age group. The high level of use reflects the lack of a well co‐ordinated development of primary care services and interfacing with secondary care.

In recent years, scholars have devoted increasing attention to the use of methods in new product development. Although their positive impact on product success has been confirmed by a series of studies, little research has so far been conducted into the determinants of the successful method application. The purpose of this paper is to analyze two key determinants for the successful use of methods.

The paper adopts a structural equation modeling approach and analyzes the subject based on a large empirical sample of 410 product development projects.

The way the new product development process is formalized and the extent of top management support have a significant influence on the successful application of methods. Both factors lead to the use of more methods overall and drive the more thorough and intensive deployment of the specific methods used.

The paper shows how firms that are seeking a more methodical approach to new product development can consciously create the right determinants for the successful adoption of methods and by doing that can increase the success rate of their new product development activities.

This research adds to the literature on success factors of new product development in two distinct ways. First, the paper investigates the subject at the level of specific product development projects, based on a large empirical sample and using a structural equation modeling approach, for the first time. Second, the methods investigated were chosen in a systematic, multi step process in which the methods used by several functions involved in new product development were taken into account.

In many cases, the external pipelines of aero-engine are subjected to random excitation. The purpose of this paper is to reduce the vibration response of the pipeline system effectively by adjusting the hoop layout.

In this paper, a spatial pipeline supported by multi-hoops is taken as the object, the methods of solution of the vibration response of the pipeline system by using pseudo excitation and hoop layouts optimization with amplitude reduction of vibration response as the goal are presented. First, the finite element model of the spatial pipeline system is presented. Then, an optimization model spatial pipeline is established. Finally, a case study is carried out to prove the rationality of the random vibration response analysis of the pipeline system. Furthermore, the proposed optimization model and genetic algorithm are applied to optimize the hoop layout.

The results show that the maximum response variance after optimization is reduced by 32.8%, which proves the rationality of the developed hoop layout optimization method.

The pseudo excitation method is used to solve the vibration response of aero-engine pipeline system, and the optimization of the hoop layout for aero-engine spatial pipelines under random excitation to reduce random vibration response is studied systematically.

The purpose of this paper is to review the causes of long waiting time in Hong Kong public hospitals and to suggest solutions in the service, organisational, systems, financial and policy perspectives.

The paper is a review of waiting time of public hospital services. Total joint replacement, which is one of the elective surgeries in public hospitals, is presented as a case study.

The average waiting time of semi-urgent and non-urgent patients in the accident and emergency departments of public hospitals is two hours, and that of specialist outpatient (SOP) clinics is from 1 to 144 weeks. For total joint replacement, it is from 36 to 110 months. Measures like Government subsidisation programme for the replacement surgery and employing adequate physiotherapists, Chinese medicine practitioners, clinical psychologists and nurses to reduce the waiting time are suggested. Issues concerning the healthcare system of Hong Kong, such as structural reform, service delivery model, primary care, quality and process management, and policy reviews, are also discussed.

The ‬over-reliance of public services has resulted in long waiting time in public hospitals in Hong Kong, particularly in the emergency services and SOP clinics. However, the consequences of long waiting period for surgical operations, though much less discussed by the media and public, can be potentially detrimental to the patients and families, and may result in more burdens to the already stretched public hospitals‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬.

The practice of renovation and construction of university libraries is flourishing, but how to attract readers to use the library is an issue that urgently needs to be explored. Spatial cognition is a subjective judgment of a person's tendency to take action in the future and implies behavioral intention. Based on the sensory–image–cognition relationship, a theoretical model of university library readers' spatial cognition is conducted, and the influencing factors and mechanisms of spatial cognition are explored based on empirical data to provide theoretical references for spatial practices in university libraries.

A visual and art-based mental map approach is introduced based on a questionnaire survey. The questionnaire is mainly used for the specific evaluation of spatial use and the breakdown of the detailed elements, while the mental map method is mainly used for the evaluation of readers' spatial cognition. Relevant empirical data are collected from the library of the Zhejiang University of Technology.

The results indicate that readers' spatial sensory experience and mental imagery have positive effects on readers' behavior via the mediator spatial cognition, readers' spatial sensory experience and mental imagery have a positive effect on readers' spatial cognition and spatial cognition has a significant effect on readers' behavior.

The main contribution of this study is to construct a theoretical model of readers' spatial cognition and to explore the factors that have an impact on spatial cognition and the influence of cognition on behavior. This provides a more rational and in-depth thinking paradigm for the study of university library space and provides theoretical references for library practice.

Hotel servicescapes have been extensively examined in the literature; however, there has been less attention on green servicescapes that attract consumers to visit green hotels. This model explores the relationship among green servicescapes – green items, green surfaces, natural environment, green consumerism and their outcomes, including intentions to return and green evangelism with a moderating role of green perceived quality.

The multi-wave method was utilized to gather data from China's major cities, Beijing and Shanghai. A total of 462 responses were received over three waves. Subsequently, the data were analyzed employing structural equation modeling (SEM) in Smart PLS 4.

The findings indicated that green servicescape – green items, green surfaces and natural environment – have a positive impact on green consumerism. The authors have discovered that green consumerism leads to positive intentions among consumers to return and engage in green evangelism. Green perceived quality significantly moderated the relationship between green servicescape and green consumerism.

The study offers insightful contributions to academia and managerial fields, encompassing consumer psychology, consumer behaviour, the stimulus-organism-response (SOR) framework and servicescapes. Additionally, it assists hotel managers in addressing challenges stemming from the competitive environment and creating a more environmentally friendly atmosphere.

The research focused on the innovative reflective model of green consumerism model and adopted a pioneering approach to examine green servicescapes within the hotel industry. This study enhances understanding of consumer intentions to return and the influence of green consumerism on green evangelism, while also quantifying the significance of green perceived quality.

The purpose of this paper is to investigate consumers' purchase intention of wild freshwater fish. Facing the endangering ecology in the Yangtze River Basin, the Chinese government has implemented a ten-year fishing ban policy to protect the wild freshwater fishery resources from 2020. In this context, such questions are raised as how do consumers react to this and are they willing to reduce or even refuse to purchase wild freshwater fish to protect the aquatic biological resources in the Yangtze River Basin?

A total of 1,235 consumers from eight provinces (including two province-level municipalities) in the Yangtze River Basin filled out the online questionnaires. The data (n = 1,096) are analyzed by structural equation model (SEM) to verify the relationships between the variables.

The results show that subjective norm is the strongest direct determinant of purchase intention, followed by personal norm, attitude, environmental concern and perceived behavioral control. It is also found that attitude, subjective norm, perceived behavioral control and environmental concern have significant effects on personal norm which plays a significant mediating role in forming purchase intention. On this basis, specific policy recommendations are proposed.

This paper investigates consumers' purchase intention from the perspective of ecological protection and obtains a more comprehensive explanation of the purchase intention by combining the theory of planned behavior (TPB) and theory of norm activation.

The study examines the IPO resilience grounded on the firm’s intrinsic factors.

We examine the association of IPO performance and post-listing firm’s performance with issuers' pre-listing financial and qualitative traits using panel data regression.

IPOs floated in the Indian market from July 2009 to March 31, 2022, evince the notable influence of issuers' pre-IPO fundamentals and legitimacy traits on IPO returns and post-listing earning power. Where the pandemic’s favorable impact is discerned on the post-listing year earning power of the issuer firms, the loss-making issuers appear to be adversely affected by the Covid disruption. Perhaps, the successful listing equipped the issuers with the financial flexibility to combat market challenges vis-à-vis failed issuers deprived of desired IPO proceeds.

High initial returns followed by a declining pattern substantiate the retail investors to be less informed vis-à-vis initial investors, valuers and underwriters, who exit post-listing after profit booking. Investing in the shares of the newly listed ventures post-listing in the secondary market can shield retail investors from the uncertainty losses of being uninformed. The IPO market needs stringent regulations ensuring the verification of the listing valuation, the firm’s credentials and the intent of utilizing IPO proceeds. Healthy development of the IPO market merits reconsidering the listing of ventures with weak fundamentals suspected to withstand the market challenges.

Given the tremendous rise in the new firm venturing into the primary market and the spike in IPOs countering the losses immediately post-opening, the study examines the loss-making and young firms IPOs separately, adding novelty to the study.