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Climatic changes caused by greenhouse gases (GHGs) emissions are an urgent challenge for all regions around the globe while the livestock sector is an important source of GHGs emissions. The adoption of low-carbon manure treatment technology (LMTT) by farmers is emerging as an effective remedy to neutralize the carbon emissions of livestock. This paper aims to incorporate environmental literacy and social norms into the analysis framework, with the aim of exploring the impact of environmental literacy and social norms on farmers' adoption of LMTT and finally reduce GHGs emission and climate effects.

This research survey is conducted in Hebei, Henan and Hubei provinces of China. First, this research measures environmental literacy from environmental cognition, skill and responsibility and describes social norms from descriptive and imperative social norms. Second, this paper explores the influence of environmental literacy and social norms on the adoption of LMTT by farmers using the logit model. Third, Logit model's instrumental approach, i.e. IV-Logit, is applied to address the simultaneous biases between environmental skill and farmers’ LMTT adoption. Finally, the research used a moderating model to analyze feasible paths of environmental literacy and social norms that impact the adoption of LMTT by farmers.

The results showed that environmental literacy and social norms significantly and positively affect the adoption of LMTT by farmers. In particular, the effects of environmental literacy on the adoption of LMTT by farmers are mainly contributed by environmental skill and responsibility. The enhancement of social norms on the adoption of LMTT by farmers is mainly due to the leading role of imperative social norms. Meanwhile, if the endogeneity caused by the reverse effect between environmental skill and farmers’ LMTT adoption is dealt with, the role of environmental skill will be weakened. Additionally, LMTT technologies consist of energy and resource technologies. Compared to energy technology, social norms have a more substantial moderating effect on environmental literacy, affecting the adoption of farmer resource technology.

To the best of the authors’ knowledge, a novel attempt is made to examine the effects of environmental literacy and social norms on the adoption of LMTT by farmers, with the objective of identifying more effective factors to increase the intensity of LMTT adoption by farmers.

The purpose of the paper is to investigate how cross-cultural elements such as cultural difference and stereotype are integrated into collaborative modes and actions and to explore their corresponding effectiveness.

The sample of the quantitative content analysis is drawn from the posts with the topic of China on Quora. A collaborative case, where two users have a question-and-answer interaction, is taken as the unit of analysis. The effectiveness of collaboration is operationalized as the extent to which a collaboratively produced answer is visited and favorably reviewed, using the feedback index (the number of upvotes*1,000/views). One of the sampled collaborative cases is further analyzed qualitatively to see how cultural differences, stereotypes and other factors are incorporated into users' interaction.

This content analysis reveals nine modes of collaborative production of knowledge on Quora: initial questioning, pointed answering, raising doubts, responding to others, agreeing with others, correcting mistakes, enriching content, further questioning and extending issues. Diversity of the cross-cultural acts of collaborative production, particularly two of often-used collaborative actions, correcting stereotypes and supplementing cultural differences, helps to enhance overall collaborative effectiveness.

This paper offers new perspectives and ideas for strategies to change socially problematic stereotypes, e.g. to correct stereotypes where necessary and use more convincing resources such as reliable images as collaborative actions to bridge cultural differences. It also calls on social Q&A website developers to create more international users-friendly design by providing various channels for users with diverse cultural backgrounds to interact with each other.

This study is one of the first to investigate online collaborative knowledge production within a broader cross-cultural context. Specifically, cultural factors and cross-cultural collaborative actions have been innovatively integrated into this research, enriching the dimensions that can be used for collaboration classification. It is helpful for users from different countries to actively adopting different strategies to overcome cultural differences, preconceptions and other negative factors that are not conducive to communication and knowledge acquisition.

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.

In many contemporary service organizations, service teams or service units are the main engines used to deliver key services to customers, client or patients. However, it remains unclear how teamwork mechanisms (i.e. the ways team members work together) influence customer service outcomes, and whether these relationships vary across different service contexts. To advance knowledge on the nature of teamwork in service teams and to set an agenda for further work in this area, there is a need to integrate and synthesize findings across the diverse literature on service teamwork. This paper aims to discuss the aforementioned objectives.

Using a meta-analytic approach, the authors analyzed a substantial pool of relevant effect sizes (a total of 372 effect sizes from 82 studies, with 14,291 service teams/units) to examine the effects of affective, behavioral, cognitive, motivational as well as perceptual teamwork mechanisms on customer service outcomes. The authors also investigated two key service context variables (service climate and service type) as boundary conditions on these effects.

The authors found that cognitive teamwork mechanisms were more strongly positively associated with customer evaluative outcomes than other mechanisms, whereas motivational and perceptual teamwork mechanisms had stronger associations with financial outcomes. Further, four of the five teamwork mechanisms demonstrated stronger correlations under a high service climate. The strength of the correlations between the teamwork mechanisms and customer service outcomes also exhibited different patterns when considered for different service types.

As with all meta-analysis, the quality of the primary studies influences the quality of the insights obtained from summarized effects. As most studies are cross-sectional design, the relationships examined in this paper cannot be interpreted causally. The authors cannot rule out the possibility of reverse causality, for example, reciprocal effects of customer service outcomes on teamwork dynamics due to the reciprocal feedback loop between customers and service providers.

The results hold important practical implications for enhancing customer evaluation and financial performance. First, the overall findings point to the need for employers to emphasize on certain types of teamwork training in order to encourage employee collaboration within service teams. For instance, service organizations could plan team building activities for service teams to promote trust, strengthen interpersonal bonds and improve problem-solving.

The results of this study provide an integration of previous research on service teamwork and fill two important gaps in the knowledge: (1) which aspect of teamwork is more important in determining customer service outcomes? And (2) does the effect of teamwork on customer service outcomes differ across different service contexts?

This paper aims to present a broad review of near-a titanium alloys for high-temperature applications.

Following a brief introduction of titanium (Ti) alloys, this paper considers the near-α group of Ti alloys, which are the most popular high-temperature Ti alloys developed for a high-temperature application, particularly in compressor disc and blades in aero-engines. The paper is relied on literature within the past decade to discuss phase stability and microstructural effect of alloying elements, plastic deformation and reinforcements used in the development of these alloys.

The near-a Ti alloys show high potential for high-temperature applications, and many researchers have explored the incorporation of TiC, TiB SiC, Y₂O₃, La₂O₃ and Al₂O₃ reinforcements for improved mechanical properties. Rolling, extrusion, forging and some severe plastic deformation (SPD) techniques, as well as heat treatment methods, have also been explored extensively. There is, however, a paucity of information on SiC, Y₂O₃ and carbon nanotube reinforcements and their combinations for improved mechanical properties. Information on some SPD techniques such as cyclic extrusion compression, multiaxial compression/forging and repeated corrugation and straightening for this class of alloys is also limited.

This paper provides a topical, technical insight into developments in near-a Ti alloys using literature from within the past decade. It also outlines the future developments of this class of Ti alloys.

The purpose of this paper is to improve the operation and maintenance intelligence of power systems, and summarize the transmission line robots and their key technologies. High-voltage power cables are important channels for power transmission systems. Their special geographical environment and harsh natural environment can lead to many different faults. At present, such special operations in dangerous and harsh environments are performed manually, which have not only high labor intensity and low work efficiency but also great personal safety risks.

For maintenance works that are far away from the tower, power outages are required. With the increasing evaluation of transmission quality and operational safety, and the urgent need for automation and operation of modern power systems, the contradiction between this manual operation and modern high-quality power transmission has become increasingly prominent. An effective method to replace the manual maintenance work is to use the mobile robot to carry the operation manipulator and its end tool, that is, the live maintenance robot.

Some achievements have been made in the key technologies of live maintenance robots, the work to be done to meet the basic requirements of complex and changeable line environment and practical application. Based on the existing research results of live overhaul robot, the follow-up research will focus on the practical application needs and the frontier of scientific and technological development, and truly realize the human–machine integration between live overhaul robot–human working environment. Only in this way can the robot better serve the operation and maintenance of the power system.

This paper reviews the system platform, operation function, structural characteristics and key technologies involved in the power cable robot, and the combination of live maintenance robots and modern high-tech such as big data and cloud computing is also given, and finally, the future development direction of the special operation robot is pointed out.

The purpose of this paper is to solve the problem of a three-dimensional computational analysis for an elliptic-shaped cavity in a pipe under constant temperature.

The three-dimensional computational solution of governing equations was performed by using finite volume method with different temperature difference.

The parafin wax was chosen as a phase change material (PCM), and melting fraction, streamlines and isotherms are formed for different time step. It is found that position B give better results than that of position A, and temperature difference effects the duration of melting of PCM.

The three-dimensional analysis of melting in an ellipsoidal pipe with inner pipe with higher temperature is the main originality of this work.