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Hospital at Home (HAH) is a concept slowly expanding over time. At first this type of organization was used to accomplish low‐technical tasks. The main objective was to increase bed availability in hospitals for new patients. Nowadays, HAH structures are able to undertake more technical complex care such as (but not limited to) end‐of‐life care, chemotherapy and rehabilitation. The purpose of this paper is to propose a new methodology to make an unbiased economic comparison between HAH structures and traditional hospitalization.

This article accomplishes two main objectives: in the first part the authors propose a comprehensive literature review dealing with the comparison between traditional hospital and home care structures from an economic standpoint, showing that results are highly dependent on initial conditions of the study (patient health state, territory settings, bio‐medical parameters); in the second part the authors propose an unbiased economic comparison approach between health care provided in traditional hospital and home care network using formal modelling with Petri nets and discrete event simulation. As an example for the comparison a multi‐session treatment is proposed. Various scenarios are tested to ensure that results will be maintained even if initial conditions change. Relevant performance indicators used for comparison are economic costs from the point of view of the insurance and economic costs related to the consumption of resources.

It is found that HAHS can be used to control and improve patients flow on hospitals. Decisions about offering a multi‐session treatments at home must be taken, not only because of economic impacts on hospitals, but also because it follows strategic goals of the organization. This decision must be issued following a strategic analysis. Some important questions are: How should newly available beds be used in the hospital? Which territories will be covered? What is the best logistic strategy for delivering the medicines?

Comparing HAH with traditional hospitalization can provide useful information to healthcare authorities when deciding to create, or not, new HAH structures.

This study aims to propose an improved affine interval truncation algorithm to restrain interval extension for interval function.

To reduce the occurrence times of related variables in interval function, the processing method of interval operation sequence is proposed.

The interval variable is evenly divided into several subintervals based on correlation analysis of interval variables. The interval function value is modified by the interval truncation method to restrain larger estimation of interval operation results.

Through several uncertain displacement response engineering examples, the effectiveness and applicability of the proposed algorithm are verified by comparing with interval method and optimization algorithm.

A flexible manufacturing system (FMS) helps improve the system’s performance, thus increasing its overall competitiveness. FMS is an essential component of Industry 4.0 (I4.0), which has revolutionized the way firms manufacture their products. This study aims to investigate the diverse focus of the research being published over the years and the direction of scholarly work in applying FMSs in business and management.

A total of 1,096 bibliometric data were extracted from the Scopus database from the years 2001 to 2021. A systematic review and bibliometric analysis were performed on the data and related articles for performance measurement and scientific mapping on the FMS themes.

Based on co-keyword, the study reveals four major themes in the FMS field: mathematical models and quantitative techniques, scheduling and optimization techniques, cellular manufacturing and decision-making in FMSs. Based on bibliometric coupling on 2018–2021 bibliometric data, four themes emerged for future research: scheduling problems in FMS, manufacturing cell formation problem, interplay of FMS with other latest technologies and I4.0 and FMS.

The originality lies in answering the following research questions: What are the most highlighting themes in FMS, and how have they evolved over the past 20 years (2001–2021)? What topics have been at the forefront of research in FMS in the past five years (2016–2021)? What are the promising avenues of research in FMS?

This study aims to accurately evaluate the influence of various error intervals on the performance of the wiper.

The wiper structural system is decomposed into classical four-link planar for kinematics analysis, and it was modeled respectively by using interval method, universal grey number theory and enumeration approach depending on the nature of uncertainty.

The universal grey number theory is a viable methodology for the accurate analysis of uncertain structural system.

(1) The model of uncertain wiper structural system is established. (2) Universal grey number theory and new parameters are adopted to analyze the presence of uncertain wiper structural system. (3) Comparative analysis of response quantities is obtained by interval method, universal grey number theory and enumeration method.

In response to the government’s decision to make “entrepreneurship and innovation for all” a national strategy in its 2015 annual work report, Chinese professionals in the library field have expressed a growing interest in makerspaces. This study aims to provide an overview of their current research studies and attempts in constructing makerspaces.

The authors aggregated research materials on library makerspaces in China from two sources: journal articles from the China National Knowledge Infrastructure Database and online news reports from the search engine Baidu.com. Content analysis was used to extract information regarding visions and perceived values, service models and technology adoption.

While a growing number of Chinese academic publications are concerned with library makerspaces, the existing research focuses on foreign cases and offers few empirical studies on domestic application scenarios. Libraries and researchers in China hold a positive and supportive attitude toward makerspaces. 3D printing is the most frequently mentioned technology, and free-to-use, promoting communication and realization of ideas and dreams are the most emphasized values. Libraries should highlight their own unique advantages and tap into their resources and services in mutually beneficial collaborations with other types of makerspaces.

First, the results of this study cannot fully summarize the development status of makerspaces in Chinese libraries. Second, the research materials used in this study may be biased, especially the news reports.

This paper presents a semantic, visualized analysis of aggregated online news articles and journal articles on library makerspaces in China in an attempt to summarize their characteristics and guiding values, validate the advantages of library makerspaces and give suggestions on improving their service models.

This paper introduces the development trend of makerspace in Chinese libraries, so that researchers at home and abroad can learn more about the development of Chinese library.

This study comprehensively overviews the development of library makerspaces in China. The results provide suggestions to improve maker services in library.

The purpose of this paper is to examine the effects of cross-border mergers and acquisitions (M&As) by firms in the emerging marketing on stock market cumulative abnormal returns (CARs). This research focuses on the acquiring firms in emerging markets and broadens the existing scope which highlights the M&As by firms in developed countries.

Regarding the controversial argument on the effect of cross-border M&As, the authors introduce a resource-based theory to explain the motivation of M&As by Chinese firms, conduct an event study analysis of 472 international acquisitions by Chinese firms from 2010 to 2015 and indicate cross-border M&As as a positive signal in the stock market.

The results reveal that cross-border M&As result in significantly positive CARs in a short term for the acquiring firms listed in mainland markets but not for that in the Hong Kong market. Furthermore, consistent with signaling theory and the investors’ heuristic thinking in decision-making, investors may adopt the technological innovation capability of the country where the target firms locate, and the acquiring firm’s preannouncement in shaping their positive judgment of the acquiring firm’s near future performance.

The authors distinguished the responses of the investors from the mainland and Hong Kong stock markets and investigated how the knowledge of the national innovation capability of the target firm and acquisition preannouncement influence the investors’ interpretation of the cross-border M&As as a market signal.

China has proposed two-stage goals of carbon peaking by 2030 and carbon neutralization by 2060. The carbon emission reduction effect of the power industry, especially the thermal power industry, will directly affect the progress of the goal. This paper aims to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency of the thermal power industry and proposes policy suggestions for realizing China’s carbon peak and carbon neutralization goals.

This paper evaluates and compares the carbon emission efficiency of the thermal power industry in 29 provinces and regions in China from 2014 to 2019 based on the three-stage slacks-based measure (SBM) of efficiency in data envelopment analysis (DEA) model of undesired output, excluding the influence of environmental factors and random errors.

Empirical results show that during the sample period, the carbon emission efficiency of China’s thermal power industry shows a fluctuating upward trend, and the carbon emission efficiency varies greatly among the provincial regions. The carbon emission efficiency of the interregional thermal power industry presents a pattern of “eastern > central > western,” which is consistent with the level of regional economic development. Environmental factors such as economic level and environmental regulation level are conducive to the improvement of carbon emission efficiency of the thermal power industry, but the proportion of thermal power generation and industrial structure is the opposite.

This paper adopts the three-stage SBM–DEA model of undesired output and takes CO₂ as the undesired output to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency in China’s thermal power industry. The results provide a more comprehensive perspective for regional comparative evaluation and influencing factors of carbon emission efficiency in China’s thermal power industry.

This study aims to reduce the weight of the door, improve the operating efficiency and ensure the safety of vehicle operation.

Based on traditional aluminium alloy doors, a new type of honeycomb composite material was developed. Tests were conducted to determine the honeycomb compression resistance, honeycomb and skin shear performance, plate bending, thermal conductivity and environmental protection. Eight doors were developed based on the full-side open structure, and static strength and stiffness analyses were performed simultaneously. To solve door vibration problems, modal analysis and test were carried out.

The test results showed that the weight of the door was reduced by more than 40% whilst ensuring the strength and stiffness of the vehicle. The first–sixth-order test mode of the door was increased by more than 14% compared with existing aluminium alloy doors.

A new type of honeycomb composite material was used in this study. The test results showed that the weight of the door was reduced by more than 40% whilst ensuring the strength and stiffness of the vehicle. The 1st-to-6th order test mode of the door was increased by more than 14% compared with the existing aluminium alloy door.

This paper aims to develop an efficient numerical method for nonlinear transient heat conduction problems with local radiation boundary conditions and nonlinear heat sources.

Based on the physical characteristic of the transient heat conduction and the distribution characteristic of the Green’s function, a quasi-superposition principle is presented for the transient heat conduction problems with local nonlinearities. Then, an efficient method is developed, which indicates that the solution of the original nonlinear problem can be derived by solving some nonlinear problems with small structures and a linear problem with the original structure. These problems are independent of each other and can be solved simultaneously by the parallel computing technique.

Within a small time step, the nonlinear thermal loads can only induce significant temperature responses of the regions near the positions of the nonlinear thermal loads, whereas the temperature responses of the remaining regions are very close to zero. According to the above physical characteristic, the original nonlinear problem can be transformed into some nonlinear problems with small structures and a linear problem with the original structure.

An efficient and accurate numerical method is presented for transient heat conduction problems with local nonlinearities, and some numerical examples demonstrate the high efficiency and accuracy of the proposed method.