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The purpose of this paper is to develop the relationship among the three-dimensional-shaped (3D) knitwear on the flat knitting machine in a three-dimensional (3D) design model and the corresponding knitting in a two-dimensional (2D) pattern.

To do this, map functions are defined to convert the expression of the 3D-shaped knitwear to the horizontal and the vertical knitting. When the inverse functions of the map functions exist, one type is knitting in the 2D pattern can be determined with the aid of the knitwear expression in the 3D design model, when another type of knitting is in the 2D pattern.

The simulations indicate that the proposed scheme can implement the conversion from the 3D-shaped knitwear in the 3D design model to the corresponding knitting in the 2D pattern. In addition, the generated knitting by the proposed method can meet the technological requirements, which means that the knitting in the 2D pattern, converted by the proposed scheme, can be implemented in reality and the differences between the real knitwear can also be obtained as same as the map functions.

The generated 2D pattern can facilitate accelerating the design development of the 3D-shaped knitwear. Meanwhile, after accomplishing the 3D design, the relationship between 2D patterns in the two knitting directions is established through map functions.

Map functions proposed in this paper can be used in the 3D design model of the 3D-shaped knitwear so as to obtain the relatively accurate 2D paper appropriate for machine-knitting direction, which omits the process of designer's single 2D pattern after accomplishing the 3D design and saves the developing time.

This study aims to examine the adequate application of rights and protections granted to employees under labor laws and regulations to foreign employees working in China.

The authors analyzed applicable laws, regulations and related literature on the employment of foreigners in China and employed quantitative and qualitative methods to scrutinize the features of labor disputes involving foreign employees, to assess claims of inconsistencies. A group of judges and labor arbitrators were also interviewed.

The inconsistencies between Chinese immigration and labor laws, and between applicable laws and court enforcement, result in a considerable gap in employment protection for foreign employees. They have grown over the last two decades, in a changing legal environment of labor protection and labor market for foreigners.

This study focused on documented foreign employees' labor litigations from 2017 to 2020 in people's courts in China's five most economically developed regions. Future studies could cover a wider geographic territory and labor disputes of undocumented foreign employees to provide an even more comprehensive picture of the challenges and potential solutions.

The inconsistency between immigration and labor law regarding employment protection for documented foreign employees requires legal clarification and regulation to ensure equal employment protection of both Chinese and foreign employees.

There are limited studies using empirical data from different regions in China to document and understand the gap between the statutory labor protections and the labor protection granted to foreign employees in law as well as in court practice.

The whole garment technology offers a solution for the production efficiency by directly knitting a seamless tubular garment. Due to its complexity, high requirements and few references, the technology has not been widely applied in mass production. Therefore, the purpose of this paper is to show garment technology’s detailed design method, the technique calculation process and its merits compared than common technology.

This paper first analyzes the knitting principle of the four-bed computerized flat knitting machine from its configuration. After that, the design method is putted forward as well as the technique calculation process. To reveal the advantages of the whole garment technology, this paper builds a comprehensive evaluation system by comparing the knitting time, labor cost and the yarn consumption.

With the evaluation system, the whole garment technology is proved to be more productive, cost-saving and less materials-consuming. Moreover, this advantage stands more out when the machine gage is higher.

Due to limited research time and references, this paper only presents the whole garment technology for knitting common and traditional styles. More complicated and fashioned garments can be studied in the future research.

The design method and technology presented in this paper can be used as a reference for both the designers in the manufacture industry and the scholars for academic research works.

This paper has presented the whole garment technology and a specific method for technique calculation with consideration of garment structures. It also builds a evaluation system to show the advantages in terms of knitting efficiency, labor cost and yarn consumption.

A method for predicting the material consumption of a sweater is presented before it is knitted. It can be achieved with the five basic models combined with the parameters related to the dimensions of the knitting machine and needles. The paper aims to discuss these issues.

Based on the parameters of the needle bar flat knitting machine, the sweater is modeled with five basic structures. The mathematical expression of each basic structure can be derived with corresponding parameters under some consumptions. In following, the predictive weight of the sweater can be formulated with the expression of the length of the basic structures and the linear density of the yarn.

To evaluate the performance of the proposed scheme, experiments of three types of sweaters on four different knitting machines are carried out. The results show that the proposed method can achieve the performance with the bias values by percentage ranging from −1.54 to −2.84 percent.

Due to the present limited research, more experiments could not be carried out. To improve the performance and robustness of the proposed method, statistical performance measures such as the statistical mean and variance in massive experiments will be studied in the further research.

The evaluation of the material consumption can be obtained before it is knitted with the known basic parameters related to the machine and yarn.

This paper derives the general expressions of five basic structures based on the corresponding parameters of knitting machine. The predictive weight of the sweater is expressed according to the above basic structures before the sweater is knitted.

The purpose of this paper is to explore the research status and development trend of the field of event detection in social media (ED in SM) through a bibliometric analysis of academic publications.

First, publication distributions are analyzed including the trends of publications and citations, subject distribution, predominant journals, affiliations, authors, etc. Second, an indicator of collaboration degree is used to measure scientific connective relations from different perspectives. A network analysis method is then applied to reveal scientific collaboration relations. Furthermore, based on keyword co-occurrence analysis, major research themes and their evolutions throughout time span are discovered. Finally, a network analysis method is applied to visualize the analysis results.

The area of ED in SM has received increasing attention and interest in academia with Computer Science and Engineering as two major research subjects. The USA and China contribute the most to the area development. Affiliations and authors tend to collaborate more with those within the same country. Among the 14 identified research themes, newly emerged themes such as Pharmacovigilance event detection are discovered.

This study is the first to comprehensively illustrate the research status of ED in SM by conducting a bibliometric analysis. Up-to-date findings are reported, which can help relevant researchers understand the research trend, seek scientific collaborators and optimize research topic choices.

Tacit knowledge in frontline operations is primarily reflected in the holders’ intuition about dynamic systems. Despite the implicit nature of tacit knowledge, the understanding of complex systems it encapsulates can be displayed through formalization methods. This study seeks to develop a methodology for formalizing tacit knowledge in a dynamic delivery system.

This study employs a structured survey to gather experiential knowledge from dispatchers engaged in last-mile delivery operations. This knowledge is then formalized using a value function approximation approach, which transforms tacit insights into structured inputs for dynamic decision-making. We apply this methodology to optimize delivery operations in an online-to-offline pharmacy context.

The raw system feature data are not strongly correlated with the system’s development trends, making them ineffective for guiding dynamic decision-making. However, the system features obtained through preprocessing the raw data increase the predictiveness of dynamic decisions and improve the overall effectiveness of decision-making in delivery operations.

This research provides a foundational framework for studying sequential dynamic decision problems, highlighting the potential for improved decision quality and system optimization through the formalization and integration of tacit knowledge.

This approach proposed in this study offers a method to preserve and formalize critical operational expertise. By embedding tacit knowledge into decision-making systems, organizations can enhance real-time responsiveness and reduce operational costs.

This study presents a novel approach to integrating tacit knowledge into dynamic decision-making frameworks, demonstrated in a real-world last-mile delivery context. Unlike previous research that focuses primarily on explicit data-driven methods, our approach leverages the implicit, experience-based insights of operational staff, leading to more informed and effective decision-making strategies.

The purpose of this paper is to examine the types of justice that affect knowledge acquisition and opportunism in strategic alliances and how these justice mechanisms function.

Data were collected from both top-level and operating-level boundary spanners in 295 strategic alliances in China (a total of 590 boundary spanners). A structural equation model (SEM) with bias-corrected bootstrap method was used to test the hypotheses.

The results show that although both procedural justice and distributive justice are important in deterring opportunism, procedural justice is more effective at enhancing knowledge acquisition than distributive justice is. The results also demonstrate that boundary spanners' helping behaviors are more effective at fostering knowledge acquisition, whereas boundary spanners' voice behaviors have more impact on mitigating opportunism. In addition, boundary spanners' citizenship behaviors partially mediate the relationship between justice and interfirm-level performance.

This study adds a boundary-spanning lens to justice literature by uncovering the missing link between justice and alliance outcomes.

This paper aims to examine alliance governance at different hierarchical levels.

The data is collected from both top-level and operating-level managers in 286 strategic alliances in China (a total of 572 managers). Hierarchical moderated regression models are adopted to test the hypotheses and two-stage regression analyzes are used to correct for endogeneity.

This paper finds that relational governance has a greater impact on alliance performance than contract utilization at the top level. Furthermore, the simultaneous use of relational governance at the top and operating levels have a detrimental impact on alliance performance. Finally, top-level contract utilization has a negative interaction with operating-level relational governance but a positive interaction with operating-level contract utilization.

First, the cross-sectional nature of the data collection approach provides only a snapshot of how each type of governance mechanism and its interactions affect alliance performance. Second, the sample is limited to firms located in emerging markets.

Managers should realize that the effectiveness of contract and relational governance mechanisms varies across different management levels and they should be cautious about the cross-level governance mechanism alignment.

This study advances the interfirm governance literature in that this paper examined alliance governance at different hierarchical levels and provides new insights into the ongoing debate on whether the contract and relational governance mechanisms function as complements or substitutes by exploring the governance alignment across different alliance hierarchies.

This paper aims to propose a diverless weld bead maintenance welding technology to prevent the leakage of subsea oil and gas pipeline and solve the key problems in the maintenance of subsea pipeline.

Based on the analysis of the cross-section of the fillet weld, the multi-layer and multi-pass welding path planning of the submarine pipeline sleeve fillet weld is studied, and thus a multi-layer and multi-pass welding path planning strategy is proposed. A welding seam filling method is designed, and the end position of the welding gun is planned, which provides a theoretical basis for the motion control of the maintenance system.

The trajectory planning and adjustment of multi-layer and multi-pass fillet welding and the motion stability control of the rotating mechanism are realized.

It provides the basis for the prototype design of the submarine pipeline maintenance and welding robot system, and also lays the foundation for the in-depth research on the intelligent maintenance system of submarine pipeline.

The maintenance of diverless subsea pipeline is a new type of maintenance method, which can solve the problem of large amount of subsea maintenance work with high efficiency.

Social media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour.

More than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis.

The findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour.

This paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.