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This paper proposes an intelligent fault diagnosis method, which aims to obtain the outstanding fault diagnosis results of the gearbox.

An intelligent fault diagnosis method based on energy entropy-weighted complementary ensemble empirical mode decomposition (EWCEEMD) and support vector machine (SVM) optimized by whale optimization algorithm (WOA) is proposed. The raw signal is first denoised by the wavelet noise reduction method. Then, complementary ensemble empirical mode decomposition (CEEMD) is used to generate several intrinsic mode functions (IMFs). Next, energy entropy is used as an indicator to measure the sensibility of the IMF and converted into a weight coefficient by function. After that, IMFs are linearly weighted to form the reconstruction signal, and several features are extracted from the new signal. Finally, the support vector machine optimized by the whale optimization algorithm (WOA-SVM) model is used for gearbox fault classification using feature vectors.

The fault features extracted by this method have a better clustering effect and clear boundaries under each fault mode than the unimproved method. At the same time, the accuracy of fault diagnosis is greatly improved.

In most studies of fault diagnosis, the sensitivity of IMF has not been appreciated. In this paper, energy entropy is chosen to quantify sensitivity. In addition, high classification accuracy can be achieved by applying WOA-SVM as the final classification model, improving the efficiency of fault diagnosis as well.

This paper describes and exemplifies a pedagogical heuristic for promoting critical literacy in science.

One way to support critical literacy in science is through a linguistically informed pedagogical heuristic called 5Es – Enquire, Engage, Examine, Exercise and Extend.

This paper describes the implementation of 5Es in a four-week middle school science unit on climate change, showing how the heuristic can be used to develop students’ understanding of the varied ways authors use language to present information, structure text, infuse judgment and evaluation, engage with and position the reader and express epistemic commitment to knowledge claims.

5Es offer teachers a new heuristic for text exploration that develops students’ critical language awareness, advanced literacy and disciplinary literacy at the same time.

Through empirical analysis of Sino-US solar photovoltaic (PV) trade, this paper aims to evaluate the complementarity of Sino-US solar PV trade by adopting trade combination degree (TCD) index, export similarity index (SI) and trade complementarity index (TCI). It also explores the role of trade disputes over Sino-US solar PV trade between China and the USA and important factors affecting the complementarity of the trade.

Based on the comparative advantage theory, this paper selects the TCD, export SI and TCI to evaluate the complementarity of Sino-US solar PV trade comprehensively. Among them, TCD and SI can directly reflect the degree of cooperation and competition of Sino-US solar PV trade. Finally, the authors further analyze the decisive factors affecting the complementarity of Sino-US PV trade by entropy weight method and multiple linear regression analysis on the influencing factors of TCI.

The solar PV trade between China and the USA still has a close relationship, and there is solar PV trade cooperation and competition between the two countries. The factors affecting the complementarity of Sino-US solar PV trade are mainly exchange rate levels rather than trade disputes between China and the USA. The solar PV trade policies of China and the USA will have a great negative impact on the global supply chain of solar PV products. The major solar PV products in China and the USA have a clear division in the global supply chain and still have a strong trade complementarity.

This paper conducts an empirical analysis of the Sino-US solar PV trade rather than a policy discussion. This research has important practical significance for the healthy and sustainable development of solar PV trade for both countries. It can also provide references to the current trade disputes between China and the USA in a broader sense.

The purpose of this paper is to explore the impact of product information on impulse purchases in a cross-border electronic commerce (CBEC) setting from the perspective of cue stimulation.

This study proposes a research model of impulse purchases in CBEC based on the cue utilization theory and Stimulus-Organism-Response (S-O-R) model. The research model was tested using covariance-based structural equation modelling. Data were collected from the consumers of a popular CBEC platform in China.

A high-quality product description has a significant positive effect on concentration but not on curiosity and autotelic experience. A high-quality product display has a significant positive effect on concentration, curiosity and autotelic experience. High-quality product content has a significant positive effect on curiosity and autotelic experience but not on concentration. Curiosity and autotelic experience both have a significant positive effect on impulse purchases; however, concentration has no such effect on an impulse purchase. Curiosity and autotelic experience have a full mediation effect between product display and impulse purchases and between product content and impulse purchases, respectively.

This study integrates the S-O-R model and cue utilization theory to construct a theoretical model of product information-flow experience-impulse purchases. According to the model, we can understand how product information influences consumers' impulse purchases in CBEC.

The purpose of this paper is to examine the transformations of prosthetic practices in China, as well as the daily experiences and dilemmas arising from the everchanging practices since 1949. On the basis of materials, this paper explores an everyday perspective to review the history of technology.

Ethnography was collected with the application of participant observations, informal interviews and in-depth interviews during a 13-months study at a rehabilitation center in Chengdu, China. The literature on prosthetic manufacturing was also reviewed for this paper.

China's prosthetic technology seems to evolve from traditional to modern. However, this progressive narrative – innovation-based timeline (Edgerton, 2006, xi) – has been challenged by daily practices. Due to institutional pressures, prosthetists are in a dilemma of selectively using their knowledge to create one kind of device for all prosthesis users with a certain kind of disability, thereby regulating the physical and social experiences of prosthesis users. Besides, prosthesis users are accustomed to prostheses made with old techniques, and must correct themselves from old experiences to the daily practices recognized by the selected techniques.

This paper provides a cross-cultural case to reexamine Edgerton's criticism of the progressive and orderly innovation-centric technological narrative. More importantly, it reviews the history and practices of China's prosthetics from daily experiences rather than Edgerton's concentration on technology; therefore, it provides an everyday perspective for future research on technological transformations.

This paper aims to elucidate the systemic processes underlying the enhanced information-control measures taken by the Chinese Communist Party (CCP) under the leadership of President Xi Jinping. The tightening of state information control has stimulated increasingly sophisticated methods of disseminating information on the part of professional and citizen journalists. Drawing on social systems theory as articulated by Niklas Luhmann and others, the authors frame the CCP’s enhanced information-control efforts as a response to the increasing systemic complexity of Chinese journalism, which is part of a self-reproducing, self-regulating (autopoietic) global journalism system. The authors use both subtle and overt protests over Chinese censorship as evidence for the journalism system’s increasing complexity and autonomy. The authors observe that levels of complexity ratchet up as the CCP and Chinese journalism counter each other’s moves. Finally, the authors suggest that the increasing complexity of the CCP’s information-control apparatus may be unsustainable.

The authors ground their argument in Luhmannian social systems theory.

The CCP's effort to control journalism leads to increased internal complexity in the form of huge bureaucracies that themselves must be overseen in an almost endless proliferation of surveillance.

This paper contributes to theoretical work in post-humanism.

To the authors’ knowledge, no studies have examined the tension between CCP censors and Chinese journalism from a Luhmannian systems theory perspective.

In order to solve the current imbalance of academic resources within the discipline, this article builds a three-dimensional talent evaluation model based on the topic–author–citation based on the z index and proposes the ZAS index to evaluate scholars on different research topics within the discipline.

Based on the sample data of the CSSCI journals in the discipline of physical education in the past five years, the keywords were classified into 13 categories of research topics including female sports. The ZAS index of scholars on topic of female sports and so on was calculated, and quantitative indexes such as h index p index and z index were calculated. Comparative analysis of the evaluation effect was performed.

It is found that compared with the h index and p index, the z index achieves a better balance between the quantity, quality and citation distribution of scholars' results and effectively recognizes that the citation quality is higher and the number of citations of each paper is more balanced. In addition, compared to the z index, this article is based on a ZAS index model with an improved three-dimensional topic–author–citation relationship in research fields such as female sports.

It can identify some outstanding scholars who are engaged in small-scale or emerging topic research such as female sports and are excellent in different research areas. Talents create an objective and fair evaluation environment. At the same time, the ranking ability of ZAS indicators in the evaluation of talents is the strongest, and it is expected to be used in practical evaluations.

Networks linking tourist attractions or organizations are a major focus of tourism research. Despite extensive research on tourism networks, academic research on the spatial structure and formation of wine tourism networks is limited. This study aims to investigate the spatial structure and factors influencing the development of a network among Ningxia wineries, an emerging wine tourism destination in China.

This study uses social network analysis to uncover “what” the spatial structure of wine tourism networks looks like. Sixteen in-depth interviews were conducted among key stakeholders to explain the “why” of such structural characteristics.

The results show that in an emerging wine tourism destination, popular tourist attractions enjoy high centrality and hold key positions in the wine tourism network. Small wineries exhibit high closeness centrality, and only one winery serves as a network broker. According to the stakeholders, the importance of network actors will increase as their economic and political importance increase, while small wineries that lack differentiation in the network may perish.

Local governments can implement the suggested measures for improving network connections, and wineries are advised to find suitable positions to improve the experiences of tourists.

This study pioneers the identification of the distinct structure and factors influencing the network of an emerging wine tourism destination, thus enriching the understanding of the interplay and roles of different actors.

The study explores how Taiwan’s electronic health data systems can be used to build algorithms that reduce or eliminate medical errors and to advance precision medicine.

This study is a narrative review of the literature.

The body of medical knowledge has grown far too large for human clinicians to parse. In theory, electronic health records could augment clinical decision-making with electronic clinical decision support systems (CDSSs). However, computer scientists and clinicians have made remarkably little progress in building CDSSs, because health data tend to be siloed across many different systems that are not interoperable and cannot be linked using common identifiers. As a result, medicine in the USA is often practiced inconsistently with poor adherence to the best preventive and clinical practices. Poor information technology infrastructure contributes to medical errors and waste, resulting in suboptimal care and tens of thousands of premature deaths every year. Taiwan’s national health system, in contrast, is underpinned by a coordinated system of electronic data systems but remains underutilized. In this paper, the authors present a theoretical path toward developing artificial intelligence (AI)-driven CDSS systems using Taiwan’s National Health Insurance Research Database. Such a system could in theory not only optimize care and prevent clinical errors but also empower patients to track their progress in achieving their personal health goals.

While research teams have previously built AI systems with limited applications, this study provides a framework for building global AI-based CDSS systems using one of the world’s few unified electronic health data systems.

This paper aims to examine the relationship between the main decisions for designing distribution centers (DCs) and the contextual characteristics of the distribution networks.

Experts were surveyed and responses analyzed quantitatively through multivariate data techniques. This study considered four contextual characteristics that were deemed as influential for DC design: types of routes in the distribution network, quantity of DCs, distribution network levels and company size.

This paper evidenced which decisions are affected by each contextual characteristic encompassed in this study. This paper identified that the characteristic types of route in the distribution network must be carefully considered, as it had the greatest amount of associations with the decisions for designing a DC.

Despite its importance, most studies on design of DCs disregard the effect of the context in which DCs are inserted. This research provides arguments to support decision-making process of DCs design, increasing assertiveness of their planning. This work fulfills a literature gap by empirically examining the effect of contextual variables on the decisions related to DC design. Regarding practice, this paper addressed a fundamental issue for managers looking to design a DC, as it evidenced how contextual characteristics impact the decision-making.