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By using a new feature extraction method on the Cert data set and using a hidden Markov model (HMM) to model and analyze the behavior of users to distinguish whether the behavior is normal within a continuous period.

Feature extraction of five parts of the time series by rules and sorting in chronological order. Use the obtained features to calculate the probability parameters required by the HMM model and establish a behavior model for each user. When the user has abnormal behavior, the model will return a very low probability value to distinguish between normal and abnormal information.

Generally, HMM parameters are obtained by supervised learning and unsupervised learning, but the hidden state cannot be clearly defined. When the hidden state is determined according to the data set, the accuracy of the model will be improved.

This paper proposes a new feature extraction method and analysis mode, which determines the shape of the hidden state according to the situation of the data set, making subsequent HMM modeling simple and efficient and in turn improving the accuracy of user behavior detection.

This study aims to examine how participation in the Belt and Road Initiative (BRI) affects province-level regional economic resilience. In the context of dual circulation – the new development paradigm proposed by the Chinese Government – participating in the BRI is an important means of connecting both international and domestic circulations and achieving high economic resilience. The complex causal relationship between participation in the BRI and province-level regional economic resilience is investigated.

Based on the complex system view, this study uses fuzzy set qualitative comparative analysis (fsQCA) to examine the impact on regional economic resilience when provinces participate in the BRI through unimpeded trade, infrastructure connectivity, financial integration and people-to-people bonds under the two conditions of attention allocation and buffering capacity. Qualitative textual analysis is applied to analyse provincial work reports, and relevant statistical data are used to measure the economic resilience from 2013 to 2020.

The authors identified three condition configurations that lead to a high regional economic resilience at province-level and one condition configuration that lead to no high-level regional economic resilience.

In-depth analyses of qualitative materials should be conducted to explain the systematic relationships among the conditions.

This research is of practical significance to the development of the theoretical framework and practices of the BRI in the context of dual circulation.

In response to the challenges posed by the conventional manual flange docking method in the LNG (Liquefied Natural Gas) loading process, such as low positioning accuracy, constraints on production efficiency and safety hazards, this study analyzed the LNG five-axis loading arm’s main functions and structural characteristics.

An automated solution for the joints of the LNG loading arm was designed. The forward kinematic model of the LNG loading arm was established using the Denavit–Hartenberg (D-H) parameter method, and its workspace was analyzed. The Newton–Raphson iteration method was employed to solve the inverse kinematics of the LNG loading arm, facilitating trajectory planning. The relationship between the target position and the joint variables was established to verify the stability of the arm’s motion. Flange center identification was achieved using the Hough transform function. Based on the ROS platform, combined with Gazebo and Rviz, an experimental simulation of automatic docking of the LNG loading arm was conducted.

The docking errors in the XYZ directions were all less than 0.8 mm, meeting the required docking accuracy. Moreover, the motion performance of the loading arm during docking was smooth and free of abrupt changes, validating its capability to accomplish the automatic docking task.

The proposed trajectory planning and automatic docking scheme can be used for the rapid filling of LNG filling arms and LNG tankers to improve the efficiency of LNG transportation. In guiding the docking, the proposed automatic docking scheme is an accurate and efficient way to improve safety.

The purpose of this paper is to examine the effectiveness of illegal insider trading enforcement in China by focusing, among other things, on the Chinese Securities Regulatory Commission's (CSRC) enforcement actions in the period 1993‐2006.

This paper discusses the CSRC's enforcement policies and practices of insider trading regulation, based upon administrative and judicial cases, face‐to‐face interviews with regulators, and policy documents.

A major finding of the study is the paucity of insider trading cases and the lack of convictions for insider trading offences in China. The campaign against securities offences did not actually come with the stricter enforcement of insider trading laws. A primary challenge in the insider trading regulation comes from the fact that most insider trading cases involve high‐ranking government and party officials. The CSRC lacks the power to directly administer discipline and penalties on government officials and party cadres for insider trading offences.

It is recommended that the CSRC be given more power, more resources and more trained regulators to detect and address insider trading activities. It is also recommended that the CSRC improve its surveillance capabilities by fully utilizing sophisticated computer surveillance software systems, by improving inter‐agency and inter‐market information‐sharing, and by cooperating with other countries' regulators and participating in the ISG's database to detect possible international insider trading.

The paper will be of interest to researchers in the field of financial crime and securities regulation. Regulators, the private sector and government departments will also benefit from an analysis of Chinese insider trading enforcement cases. This paper also suggests better strategies for dealing with insider trading offences in China. A fair and orderly market is crucial for investors in the Chinese market.

The purpose of this paper is to highlight a novel manufacturing process for a biochip with a multi‐electrode array (MEA) that is specifically designed for use in characterising cardio‐active substances and to demonstrate a novel proposed solution prototype that has been constructed to meet the needs of end‐users.

Practical problems encountered with conventional MEA biochips are described and a novel biochip design to tackle these problems is presented. The manufacturing approach used to produce the prototypes of that design is described and depicted.

The novel prototype MEA biochips were successfully manufactured using conventional electronics manufacturing approaches. Prototypes demonstrated limited successes in the early stages of testing. Further revisions of the feature geometry are required to implement an alternative MEA biochip that is suitably reliable.

Basic photolithography techniques have been used to construct a base substrate for proof‐of‐principle studies. Increased sophistication in manufacturing stages is required in future iterations of the proposed concept.

This paper introduces a problem encountered by MEA system adopters that requires a suitable solution. The scale up of an electronics manufacturing process‐based solution to the problems described holds much promise for the screening of new chemical entities.

Implementing the 17 Sustainable Development Goals (SDGs) unarguably demands huge financial investments. However, the United Nations has acknowledged the huge financial gap militating against the implementation of the SDGs worldwide, leading experts to question the possibility of complete implementation of the goals by their terminal dateline of 2030. While the bulk of the finance currently outlaid on the SDGs comes from traditional sources including foreign direct investments (FDIs), there is the need to focus more attention on developing and exploiting impact investments that are more suitable for financing development programmes and projects. In this chapter, the SDG implementation profiles of the 12 Arab West Asia countries concerning the five most targeted SDGs were evaluated and sustainable finance issues were discussed. Secondary data were retrieved from World Bank's DataBank. The data were descriptively analyzed. Based on the profiles generated, debt relief is put forward as a possible impact investment mechanism suitable for funding the SDGs. Specifically, this chapter recommends that outright cancellation of debts based on the debt-for-SGD swap could serve as some of the impact investments needed to boost the global drive for a developed, peaceful, and just world.

Knowledge sharing in a master-apprentice pattern is the process of transferring tacit knowledge from masters to apprentices. In addition, 90 per cent of knowledge required for organizational innovation is tacit knowledge in the master-apprentice pattern. The purpose of this paper is to analyze the evolution of knowledge sharing in master-apprentice pattern and explore the consequences of how to improve the knowledge sharing in the master-apprentice pattern.

This paper uses asymmetric evolutionary game theory to study the evolutionary track of knowledge sharing in master-apprentice pattern of innovative organizations by analyzing the utility of masters and apprentices during the process of knowledge sharing in master-apprentice pattern of the innovative organization.

The results reveal that when the masters obtained utility from sharing knowledge is greater than that from hoarding knowledge, and the apprentices obtained utility from studying hard is greater than the costs, the innovative organization can get the largest utility from the knowledge sharing in the mater-apprentice pattern.

The limitation of the research is that this paper mainly studies knowledge sharing among individuals and does not research knowledge sharing between individuals and organizations.

This research has extended the understanding of knowledge sharing in master-apprentice and its evolution path. Also, the obtained findings are conducive to promoting knowledge sharing in master-apprentice and improving human resource management in innovative organizations.

This paper attempts to construct the evolution path of knowledge sharing in master-apprentice pattern, which is a useful exploration of the dynamics of knowledge sharing in master-apprentice pattern and makes up for the shortcomings of the existing research.

The purpose of this study is to investigate the continuous intention to use blockchain and FinTech innovations, focusing on the direct impact of user trust and perceived risks. It seeks to test how information technology (IT) quality directly affects user-perceived risk and trust and to identify how IT quality can influence FinTech continuance intentions. By examining these relationships, the study provides insights into how improvements in IT quality can mitigate perceived risks and enhance user trust, ultimately fostering sustained use of FinTech and blockchain technologies.

To achieve the purpose of this study, the model and hypotheses were examined based on the partial least squares structural equation modeling (PLS-SEM).

Results revealed that perceived risk is negatively impacted by system quality, while trust is positively impacted by information quality, and the most significant result in the study is continuous-use intention and uncertainty both are impacted by service quality. Also, the study used some control variables, and two of them (i.e. FinTech type and education) showed a positive significant relationship with continuance-use intention.

This study identifies several causal relationships between the continuance-use intention of blockchain and FinTech innovations and various factors, which can provide valuable insights for managers, enabling them to formulate appropriate strategies to foster sustainable growth in FinTech and blockchain. By leveraging these findings, managers can enhance IT quality, reduce perceived risks and build user trust, thereby promoting the ongoing adoption and success of blockchain and FinTech innovations.

The outcomes obtained will help both FinTech providers and researchers elucidate and understand the situation of users’ concerns about the unexpected risks/uncertainty in FinTech transactions can be mitigated through providing a high level of quality IT service and systems. Two main strategies can be merged to be used by FinTech providers/managers, first: trust building, second: risk-mitigating, both strategies can be used in the light of IT innovation and its aspects to meet the sustainable growth of FinTech.